diff --git a/images/AutonomySat_RAI_correlation_as_sample_increases.png b/images/AutonomySat_RAI_correlation_as_sample_increases.png
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diff --git a/images/CompetenceFrust_RAI_correlation_as_sample_increases.png b/images/CompetenceFrust_RAI_correlation_as_sample_increases.png
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diff --git a/images/Dedication_RAI_correlation_as_sample_increases.png b/images/Dedication_RAI_correlation_as_sample_increases.png
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diff --git a/images/RAI_Dedication_model_diagnostics.png b/images/RAI_Dedication_model_diagnostics.png
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diff --git a/images/RAI_RMSE_plot.png b/images/RAI_RMSE_plot.png
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diff --git a/images/RAI_fitted_RMSE_plot.png b/images/RAI_fitted_RMSE_plot.png
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diff --git a/images/RAI_pred_test_RMSE_plot.png b/images/RAI_pred_test_RMSE_plot.png
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diff --git a/work_motivation_extras.py b/work_motivation_extras.py
new file mode 100644
index 0000000..cf0c7f0
--- /dev/null
+++ b/work_motivation_extras.py
@@ -0,0 +1,28 @@
+sum_scores_columns = ['Intrinsic',
+ 'Identified',
+ 'Introjected',
+ 'ExternalSocial',
+ 'ExternalMaterial',
+ 'Amotivation',
+ 'ExternalTotal',
+ 'AutonomySat',
+ 'CompetenceSat',
+ 'RelatedSat',
+ 'AutonomyFrust',
+ 'CompetenceFrust',
+ 'RelatedFrust',
+ 'Vigor',
+ 'Dedication',
+ 'Absorption',
+ 'WorkEngagement',
+ 'SelfControl',
+ 'Congruence',
+ 'Interest',
+ 'Control',
+ 'AutonomousFunctioning',
+ 'IncStructResources',
+ 'DecHinderDemands',
+ 'IncChallengeDemands',
+ 'IncSocialResources',
+ 'Resilience',
+ 'Optimism']
\ No newline at end of file
diff --git a/work_motivation_pre_mid_post_EDA.html b/work_motivation_pre_mid_post_EDA.html
new file mode 100644
index 0000000..7dcffff
--- /dev/null
+++ b/work_motivation_pre_mid_post_EDA.html
@@ -0,0 +1,18492 @@
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+.p-ScrollBar[data-orientation='vertical'],
+/* </DEPRECATED> */
+.lm-ScrollBar[data-orientation='vertical'] {
+  flex-direction: column;
+}
+
+
+/* <DEPRECATED> */ .p-ScrollBar-button, /* </DEPRECATED> */
+.lm-ScrollBar-button {
+  box-sizing: border-box;
+  flex: 0 0 auto;
+}
+
+
+/* <DEPRECATED> */ .p-ScrollBar-track, /* </DEPRECATED> */
+.lm-ScrollBar-track {
+  box-sizing: border-box;
+  position: relative;
+  overflow: hidden;
+  flex: 1 1 auto;
+}
+
+
+/* <DEPRECATED> */ .p-ScrollBar-thumb, /* </DEPRECATED> */
+.lm-ScrollBar-thumb {
+  box-sizing: border-box;
+  position: absolute;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+
+/* <DEPRECATED> */ .p-SplitPanel-child, /* </DEPRECATED> */
+.lm-SplitPanel-child {
+  z-index: 0;
+}
+
+
+/* <DEPRECATED> */ .p-SplitPanel-handle, /* </DEPRECATED> */
+.lm-SplitPanel-handle {
+  z-index: 1;
+}
+
+
+/* <DEPRECATED> */ .p-SplitPanel-handle.p-mod-hidden, /* </DEPRECATED> */
+.lm-SplitPanel-handle.lm-mod-hidden {
+  display: none !important;
+}
+
+
+/* <DEPRECATED> */ .p-SplitPanel-handle:after, /* </DEPRECATED> */
+.lm-SplitPanel-handle:after {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  content: '';
+}
+
+
+/* <DEPRECATED> */
+.p-SplitPanel[data-orientation='horizontal'] > .p-SplitPanel-handle,
+/* </DEPRECATED> */
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle {
+  cursor: ew-resize;
+}
+
+
+/* <DEPRECATED> */
+.p-SplitPanel[data-orientation='vertical'] > .p-SplitPanel-handle,
+/* </DEPRECATED> */
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle {
+  cursor: ns-resize;
+}
+
+
+/* <DEPRECATED> */
+.p-SplitPanel[data-orientation='horizontal'] > .p-SplitPanel-handle:after,
+/* </DEPRECATED> */
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle:after {
+  left: 50%;
+  min-width: 8px;
+  transform: translateX(-50%);
+}
+
+
+/* <DEPRECATED> */
+.p-SplitPanel[data-orientation='vertical'] > .p-SplitPanel-handle:after,
+/* </DEPRECATED> */
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle:after {
+  top: 50%;
+  min-height: 8px;
+  transform: translateY(-50%);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+
+/* <DEPRECATED> */ .p-TabBar, /* </DEPRECATED> */
+.lm-TabBar {
+  display: flex;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+
+/* <DEPRECATED> */ .p-TabBar[data-orientation='horizontal'], /* </DEPRECATED> */
+.lm-TabBar[data-orientation='horizontal'] {
+  flex-direction: row;
+}
+
+
+/* <DEPRECATED> */ .p-TabBar[data-orientation='vertical'], /* </DEPRECATED> */
+.lm-TabBar[data-orientation='vertical'] {
+  flex-direction: column;
+}
+
+
+/* <DEPRECATED> */ .p-TabBar-content, /* </DEPRECATED> */
+.lm-TabBar-content {
+  margin: 0;
+  padding: 0;
+  display: flex;
+  flex: 1 1 auto;
+  list-style-type: none;
+}
+
+
+/* <DEPRECATED> */
+.p-TabBar[data-orientation='horizontal'] > .p-TabBar-content,
+/* </DEPRECATED> */
+.lm-TabBar[data-orientation='horizontal'] > .lm-TabBar-content {
+  flex-direction: row;
+}
+
+
+/* <DEPRECATED> */
+.p-TabBar[data-orientation='vertical'] > .p-TabBar-content,
+/* </DEPRECATED> */
+.lm-TabBar[data-orientation='vertical'] > .lm-TabBar-content {
+  flex-direction: column;
+}
+
+
+/* <DEPRECATED> */ .p-TabBar-tab, /* </DEPRECATED> */
+.lm-TabBar-tab {
+  display: flex;
+  flex-direction: row;
+  box-sizing: border-box;
+  overflow: hidden;
+}
+
+
+/* <DEPRECATED> */
+.p-TabBar-tabIcon,
+.p-TabBar-tabCloseIcon,
+/* </DEPRECATED> */
+.lm-TabBar-tabIcon,
+.lm-TabBar-tabCloseIcon {
+  flex: 0 0 auto;
+}
+
+
+/* <DEPRECATED> */ .p-TabBar-tabLabel, /* </DEPRECATED> */
+.lm-TabBar-tabLabel {
+  flex: 1 1 auto;
+  overflow: hidden;
+  white-space: nowrap;
+}
+
+
+/* <DEPRECATED> */ .p-TabBar-tab.p-mod-hidden, /* </DEPRECATED> */
+.lm-TabBar-tab.lm-mod-hidden {
+  display: none !important;
+}
+
+
+/* <DEPRECATED> */ .p-TabBar.p-mod-dragging .p-TabBar-tab, /* </DEPRECATED> */
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab {
+  position: relative;
+}
+
+
+/* <DEPRECATED> */
+.p-TabBar.p-mod-dragging[data-orientation='horizontal'] .p-TabBar-tab,
+/* </DEPRECATED> */
+.lm-TabBar.lm-mod-dragging[data-orientation='horizontal'] .lm-TabBar-tab {
+  left: 0;
+  transition: left 150ms ease;
+}
+
+
+/* <DEPRECATED> */
+.p-TabBar.p-mod-dragging[data-orientation='vertical'] .p-TabBar-tab,
+/* </DEPRECATED> */
+.lm-TabBar.lm-mod-dragging[data-orientation='vertical'] .lm-TabBar-tab {
+  top: 0;
+  transition: top 150ms ease;
+}
+
+
+/* <DEPRECATED> */
+.p-TabBar.p-mod-dragging .p-TabBar-tab.p-mod-dragging
+/* </DEPRECATED> */
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab.lm-mod-dragging {
+  transition: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+
+/* <DEPRECATED> */ .p-TabPanel-tabBar, /* </DEPRECATED> */
+.lm-TabPanel-tabBar {
+  z-index: 1;
+}
+
+
+/* <DEPRECATED> */ .p-TabPanel-stackedPanel, /* </DEPRECATED> */
+.lm-TabPanel-stackedPanel {
+  z-index: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+@charset "UTF-8";
+/*!
+
+Copyright 2015-present Palantir Technologies, Inc. All rights reserved.
+Licensed under the Apache License, Version 2.0.
+
+*/
+html{
+  -webkit-box-sizing:border-box;
+          box-sizing:border-box; }
+
+*,
+*::before,
+*::after{
+  -webkit-box-sizing:inherit;
+          box-sizing:inherit; }
+
+body{
+  text-transform:none;
+  line-height:1.28581;
+  letter-spacing:0;
+  font-size:14px;
+  font-weight:400;
+  color:#182026;
+  font-family:-apple-system, "BlinkMacSystemFont", "Segoe UI", "Roboto", "Oxygen", "Ubuntu", "Cantarell", "Open Sans", "Helvetica Neue", "Icons16", sans-serif; }
+
+p{
+  margin-top:0;
+  margin-bottom:10px; }
+
+small{
+  font-size:12px; }
+
+strong{
+  font-weight:600; }
+
+::-moz-selection{
+  background:rgba(125, 188, 255, 0.6); }
+
+::selection{
+  background:rgba(125, 188, 255, 0.6); }
+.bp3-heading{
+  color:#182026;
+  font-weight:600;
+  margin:0 0 10px;
+  padding:0; }
+  .bp3-dark .bp3-heading{
+    color:#f5f8fa; }
+
+h1.bp3-heading, .bp3-running-text h1{
+  line-height:40px;
+  font-size:36px; }
+
+h2.bp3-heading, .bp3-running-text h2{
+  line-height:32px;
+  font-size:28px; }
+
+h3.bp3-heading, .bp3-running-text h3{
+  line-height:25px;
+  font-size:22px; }
+
+h4.bp3-heading, .bp3-running-text h4{
+  line-height:21px;
+  font-size:18px; }
+
+h5.bp3-heading, .bp3-running-text h5{
+  line-height:19px;
+  font-size:16px; }
+
+h6.bp3-heading, .bp3-running-text h6{
+  line-height:16px;
+  font-size:14px; }
+.bp3-ui-text{
+  text-transform:none;
+  line-height:1.28581;
+  letter-spacing:0;
+  font-size:14px;
+  font-weight:400; }
+
+.bp3-monospace-text{
+  text-transform:none;
+  font-family:monospace; }
+
+.bp3-text-muted{
+  color:#5c7080; }
+  .bp3-dark .bp3-text-muted{
+    color:#a7b6c2; }
+
+.bp3-text-disabled{
+  color:rgba(92, 112, 128, 0.6); }
+  .bp3-dark .bp3-text-disabled{
+    color:rgba(167, 182, 194, 0.6); }
+
+.bp3-text-overflow-ellipsis{
+  overflow:hidden;
+  text-overflow:ellipsis;
+  white-space:nowrap;
+  word-wrap:normal; }
+.bp3-running-text{
+  line-height:1.5;
+  font-size:14px; }
+  .bp3-running-text h1{
+    color:#182026;
+    font-weight:600;
+    margin-top:40px;
+    margin-bottom:20px; }
+    .bp3-dark .bp3-running-text h1{
+      color:#f5f8fa; }
+  .bp3-running-text h2{
+    color:#182026;
+    font-weight:600;
+    margin-top:40px;
+    margin-bottom:20px; }
+    .bp3-dark .bp3-running-text h2{
+      color:#f5f8fa; }
+  .bp3-running-text h3{
+    color:#182026;
+    font-weight:600;
+    margin-top:40px;
+    margin-bottom:20px; }
+    .bp3-dark .bp3-running-text h3{
+      color:#f5f8fa; }
+  .bp3-running-text h4{
+    color:#182026;
+    font-weight:600;
+    margin-top:40px;
+    margin-bottom:20px; }
+    .bp3-dark .bp3-running-text h4{
+      color:#f5f8fa; }
+  .bp3-running-text h5{
+    color:#182026;
+    font-weight:600;
+    margin-top:40px;
+    margin-bottom:20px; }
+    .bp3-dark .bp3-running-text h5{
+      color:#f5f8fa; }
+  .bp3-running-text h6{
+    color:#182026;
+    font-weight:600;
+    margin-top:40px;
+    margin-bottom:20px; }
+    .bp3-dark .bp3-running-text h6{
+      color:#f5f8fa; }
+  .bp3-running-text hr{
+    margin:20px 0;
+    border:none;
+    border-bottom:1px solid rgba(16, 22, 26, 0.15); }
+    .bp3-dark .bp3-running-text hr{
+      border-color:rgba(255, 255, 255, 0.15); }
+  .bp3-running-text p{
+    margin:0 0 10px;
+    padding:0; }
+
+.bp3-text-large{
+  font-size:16px; }
+
+.bp3-text-small{
+  font-size:12px; }
+a{
+  text-decoration:none;
+  color:#106ba3; }
+  a:hover{
+    cursor:pointer;
+    text-decoration:underline;
+    color:#106ba3; }
+  a .bp3-icon, a .bp3-icon-standard, a .bp3-icon-large{
+    color:inherit; }
+  a code,
+  .bp3-dark a code{
+    color:inherit; }
+  .bp3-dark a,
+  .bp3-dark a:hover{
+    color:#48aff0; }
+    .bp3-dark a .bp3-icon, .bp3-dark a .bp3-icon-standard, .bp3-dark a .bp3-icon-large,
+    .bp3-dark a:hover .bp3-icon,
+    .bp3-dark a:hover .bp3-icon-standard,
+    .bp3-dark a:hover .bp3-icon-large{
+      color:inherit; }
+.bp3-running-text code, .bp3-code{
+  text-transform:none;
+  font-family:monospace;
+  border-radius:3px;
+  -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2);
+          box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2);
+  background:rgba(255, 255, 255, 0.7);
+  padding:2px 5px;
+  color:#5c7080;
+  font-size:smaller; }
+  .bp3-dark .bp3-running-text code, .bp3-running-text .bp3-dark code, .bp3-dark .bp3-code{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);
+    background:rgba(16, 22, 26, 0.3);
+    color:#a7b6c2; }
+  .bp3-running-text a > code, a > .bp3-code{
+    color:#137cbd; }
+    .bp3-dark .bp3-running-text a > code, .bp3-running-text .bp3-dark a > code, .bp3-dark a > .bp3-code{
+      color:inherit; }
+
+.bp3-running-text pre, .bp3-code-block{
+  text-transform:none;
+  font-family:monospace;
+  display:block;
+  margin:10px 0;
+  border-radius:3px;
+  -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.15);
+          box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.15);
+  background:rgba(255, 255, 255, 0.7);
+  padding:13px 15px 12px;
+  line-height:1.4;
+  color:#182026;
+  font-size:13px;
+  word-break:break-all;
+  word-wrap:break-word; }
+  .bp3-dark .bp3-running-text pre, .bp3-running-text .bp3-dark pre, .bp3-dark .bp3-code-block{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);
+    background:rgba(16, 22, 26, 0.3);
+    color:#f5f8fa; }
+  .bp3-running-text pre > code, .bp3-code-block > code{
+    -webkit-box-shadow:none;
+            box-shadow:none;
+    background:none;
+    padding:0;
+    color:inherit;
+    font-size:inherit; }
+
+.bp3-running-text kbd, .bp3-key{
+  display:-webkit-inline-box;
+  display:-ms-inline-flexbox;
+  display:inline-flex;
+  -webkit-box-align:center;
+      -ms-flex-align:center;
+          align-items:center;
+  -webkit-box-pack:center;
+      -ms-flex-pack:center;
+          justify-content:center;
+  border-radius:3px;
+  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.2);
+          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.2);
+  background:#ffffff;
+  min-width:24px;
+  height:24px;
+  padding:3px 6px;
+  vertical-align:middle;
+  line-height:24px;
+  color:#5c7080;
+  font-family:inherit;
+  font-size:12px; }
+  .bp3-running-text kbd .bp3-icon, .bp3-key .bp3-icon, .bp3-running-text kbd .bp3-icon-standard, .bp3-key .bp3-icon-standard, .bp3-running-text kbd .bp3-icon-large, .bp3-key .bp3-icon-large{
+    margin-right:5px; }
+  .bp3-dark .bp3-running-text kbd, .bp3-running-text .bp3-dark kbd, .bp3-dark .bp3-key{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4);
+    background:#394b59;
+    color:#a7b6c2; }
+.bp3-running-text blockquote, .bp3-blockquote{
+  margin:0 0 10px;
+  border-left:solid 4px rgba(167, 182, 194, 0.5);
+  padding:0 20px; }
+  .bp3-dark .bp3-running-text blockquote, .bp3-running-text .bp3-dark blockquote, .bp3-dark .bp3-blockquote{
+    border-color:rgba(115, 134, 148, 0.5); }
+.bp3-running-text ul,
+.bp3-running-text ol, .bp3-list{
+  margin:10px 0;
+  padding-left:30px; }
+  .bp3-running-text ul li:not(:last-child), .bp3-running-text ol li:not(:last-child), .bp3-list li:not(:last-child){
+    margin-bottom:5px; }
+  .bp3-running-text ul ol, .bp3-running-text ol ol, .bp3-list ol,
+  .bp3-running-text ul ul,
+  .bp3-running-text ol ul,
+  .bp3-list ul{
+    margin-top:5px; }
+
+.bp3-list-unstyled{
+  margin:0;
+  padding:0;
+  list-style:none; }
+  .bp3-list-unstyled li{
+    padding:0; }
+.bp3-rtl{
+  text-align:right; }
+
+.bp3-dark{
+  color:#f5f8fa; }
+
+:focus{
+  outline:rgba(19, 124, 189, 0.6) auto 2px;
+  outline-offset:2px;
+  -moz-outline-radius:6px; }
+
+.bp3-focus-disabled :focus{
+  outline:none !important; }
+  .bp3-focus-disabled :focus ~ .bp3-control-indicator{
+    outline:none !important; }
+
+.bp3-alert{
+  max-width:400px;
+  padding:20px; }
+
+.bp3-alert-body{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex; }
+  .bp3-alert-body .bp3-icon{
+    margin-top:0;
+    margin-right:20px;
+    font-size:40px; }
+
+.bp3-alert-footer{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -webkit-box-orient:horizontal;
+  -webkit-box-direction:reverse;
+      -ms-flex-direction:row-reverse;
+          flex-direction:row-reverse;
+  margin-top:10px; }
+  .bp3-alert-footer .bp3-button{
+    margin-left:10px; }
+.bp3-breadcrumbs{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -ms-flex-wrap:wrap;
+      flex-wrap:wrap;
+  -webkit-box-align:center;
+      -ms-flex-align:center;
+          align-items:center;
+  margin:0;
+  cursor:default;
+  height:30px;
+  padding:0;
+  list-style:none; }
+  .bp3-breadcrumbs > li{
+    display:-webkit-box;
+    display:-ms-flexbox;
+    display:flex;
+    -webkit-box-align:center;
+        -ms-flex-align:center;
+            align-items:center; }
+    .bp3-breadcrumbs > li::after{
+      display:block;
+      margin:0 5px;
+      background:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill-rule='evenodd' clip-rule='evenodd' d='M10.71 7.29l-4-4a1.003 1.003 0 0 0-1.42 1.42L8.59 8 5.3 11.29c-.19.18-.3.43-.3.71a1.003 1.003 0 0 0 1.71.71l4-4c.18-.18.29-.43.29-.71 0-.28-.11-.53-.29-.71z' fill='%235C7080'/%3e%3c/svg%3e");
+      width:16px;
+      height:16px;
+      content:""; }
+    .bp3-breadcrumbs > li:last-of-type::after{
+      display:none; }
+
+.bp3-breadcrumb,
+.bp3-breadcrumb-current,
+.bp3-breadcrumbs-collapsed{
+  display:-webkit-inline-box;
+  display:-ms-inline-flexbox;
+  display:inline-flex;
+  -webkit-box-align:center;
+      -ms-flex-align:center;
+          align-items:center;
+  font-size:16px; }
+
+.bp3-breadcrumb,
+.bp3-breadcrumbs-collapsed{
+  color:#5c7080; }
+
+.bp3-breadcrumb:hover{
+  text-decoration:none; }
+
+.bp3-breadcrumb.bp3-disabled{
+  cursor:not-allowed;
+  color:rgba(92, 112, 128, 0.6); }
+
+.bp3-breadcrumb .bp3-icon{
+  margin-right:5px; }
+
+.bp3-breadcrumb-current{
+  color:inherit;
+  font-weight:600; }
+  .bp3-breadcrumb-current .bp3-input{
+    vertical-align:baseline;
+    font-size:inherit;
+    font-weight:inherit; }
+
+.bp3-breadcrumbs-collapsed{
+  margin-right:2px;
+  border:none;
+  border-radius:3px;
+  background:#ced9e0;
+  cursor:pointer;
+  padding:1px 5px;
+  vertical-align:text-bottom; }
+  .bp3-breadcrumbs-collapsed::before{
+    display:block;
+    background:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cg fill='%235C7080'%3e%3ccircle cx='2' cy='8.03' r='2'/%3e%3ccircle cx='14' cy='8.03' r='2'/%3e%3ccircle cx='8' cy='8.03' r='2'/%3e%3c/g%3e%3c/svg%3e") center no-repeat;
+    width:16px;
+    height:16px;
+    content:""; }
+  .bp3-breadcrumbs-collapsed:hover{
+    background:#bfccd6;
+    text-decoration:none;
+    color:#182026; }
+
+.bp3-dark .bp3-breadcrumb,
+.bp3-dark .bp3-breadcrumbs-collapsed{
+  color:#a7b6c2; }
+
+.bp3-dark .bp3-breadcrumbs > li::after{
+  color:#a7b6c2; }
+
+.bp3-dark .bp3-breadcrumb.bp3-disabled{
+  color:rgba(167, 182, 194, 0.6); }
+
+.bp3-dark .bp3-breadcrumb-current{
+  color:#f5f8fa; }
+
+.bp3-dark .bp3-breadcrumbs-collapsed{
+  background:rgba(16, 22, 26, 0.4); }
+  .bp3-dark .bp3-breadcrumbs-collapsed:hover{
+    background:rgba(16, 22, 26, 0.6);
+    color:#f5f8fa; }
+.bp3-button{
+  display:-webkit-inline-box;
+  display:-ms-inline-flexbox;
+  display:inline-flex;
+  -webkit-box-orient:horizontal;
+  -webkit-box-direction:normal;
+      -ms-flex-direction:row;
+          flex-direction:row;
+  -webkit-box-align:center;
+      -ms-flex-align:center;
+          align-items:center;
+  -webkit-box-pack:center;
+      -ms-flex-pack:center;
+          justify-content:center;
+  border:none;
+  border-radius:3px;
+  cursor:pointer;
+  padding:5px 10px;
+  vertical-align:middle;
+  text-align:left;
+  font-size:14px;
+  min-width:30px;
+  min-height:30px; }
+  .bp3-button > *{
+    -webkit-box-flex:0;
+        -ms-flex-positive:0;
+            flex-grow:0;
+    -ms-flex-negative:0;
+        flex-shrink:0; }
+  .bp3-button > .bp3-fill{
+    -webkit-box-flex:1;
+        -ms-flex-positive:1;
+            flex-grow:1;
+    -ms-flex-negative:1;
+        flex-shrink:1; }
+  .bp3-button::before,
+  .bp3-button > *{
+    margin-right:7px; }
+  .bp3-button:empty::before,
+  .bp3-button > :last-child{
+    margin-right:0; }
+  .bp3-button:empty{
+    padding:0 !important; }
+  .bp3-button:disabled, .bp3-button.bp3-disabled{
+    cursor:not-allowed; }
+  .bp3-button.bp3-fill{
+    display:-webkit-box;
+    display:-ms-flexbox;
+    display:flex;
+    width:100%; }
+  .bp3-button.bp3-align-right,
+  .bp3-align-right .bp3-button{
+    text-align:right; }
+  .bp3-button.bp3-align-left,
+  .bp3-align-left .bp3-button{
+    text-align:left; }
+  .bp3-button:not([class*="bp3-intent-"]){
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+    background-color:#f5f8fa;
+    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.8)), to(rgba(255, 255, 255, 0)));
+    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.8), rgba(255, 255, 255, 0));
+    color:#182026; }
+    .bp3-button:not([class*="bp3-intent-"]):hover{
+      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+      background-clip:padding-box;
+      background-color:#ebf1f5; }
+    .bp3-button:not([class*="bp3-intent-"]):active, .bp3-button:not([class*="bp3-intent-"]).bp3-active{
+      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+      background-color:#d8e1e8;
+      background-image:none; }
+    .bp3-button:not([class*="bp3-intent-"]):disabled, .bp3-button:not([class*="bp3-intent-"]).bp3-disabled{
+      outline:none;
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background-color:rgba(206, 217, 224, 0.5);
+      background-image:none;
+      cursor:not-allowed;
+      color:rgba(92, 112, 128, 0.6); }
+      .bp3-button:not([class*="bp3-intent-"]):disabled.bp3-active, .bp3-button:not([class*="bp3-intent-"]):disabled.bp3-active:hover, .bp3-button:not([class*="bp3-intent-"]).bp3-disabled.bp3-active, .bp3-button:not([class*="bp3-intent-"]).bp3-disabled.bp3-active:hover{
+        background:rgba(206, 217, 224, 0.7); }
+  .bp3-button.bp3-intent-primary{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+    background-color:#137cbd;
+    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.1)), to(rgba(255, 255, 255, 0)));
+    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.1), rgba(255, 255, 255, 0));
+    color:#ffffff; }
+    .bp3-button.bp3-intent-primary:hover, .bp3-button.bp3-intent-primary:active, .bp3-button.bp3-intent-primary.bp3-active{
+      color:#ffffff; }
+    .bp3-button.bp3-intent-primary:hover{
+      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+      background-color:#106ba3; }
+    .bp3-button.bp3-intent-primary:active, .bp3-button.bp3-intent-primary.bp3-active{
+      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+      background-color:#0e5a8a;
+      background-image:none; }
+    .bp3-button.bp3-intent-primary:disabled, .bp3-button.bp3-intent-primary.bp3-disabled{
+      border-color:transparent;
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background-color:rgba(19, 124, 189, 0.5);
+      background-image:none;
+      color:rgba(255, 255, 255, 0.6); }
+  .bp3-button.bp3-intent-success{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+    background-color:#0f9960;
+    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.1)), to(rgba(255, 255, 255, 0)));
+    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.1), rgba(255, 255, 255, 0));
+    color:#ffffff; }
+    .bp3-button.bp3-intent-success:hover, .bp3-button.bp3-intent-success:active, .bp3-button.bp3-intent-success.bp3-active{
+      color:#ffffff; }
+    .bp3-button.bp3-intent-success:hover{
+      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+      background-color:#0d8050; }
+    .bp3-button.bp3-intent-success:active, .bp3-button.bp3-intent-success.bp3-active{
+      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+      background-color:#0a6640;
+      background-image:none; }
+    .bp3-button.bp3-intent-success:disabled, .bp3-button.bp3-intent-success.bp3-disabled{
+      border-color:transparent;
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background-color:rgba(15, 153, 96, 0.5);
+      background-image:none;
+      color:rgba(255, 255, 255, 0.6); }
+  .bp3-button.bp3-intent-warning{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+    background-color:#d9822b;
+    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.1)), to(rgba(255, 255, 255, 0)));
+    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.1), rgba(255, 255, 255, 0));
+    color:#ffffff; }
+    .bp3-button.bp3-intent-warning:hover, .bp3-button.bp3-intent-warning:active, .bp3-button.bp3-intent-warning.bp3-active{
+      color:#ffffff; }
+    .bp3-button.bp3-intent-warning:hover{
+      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+      background-color:#bf7326; }
+    .bp3-button.bp3-intent-warning:active, .bp3-button.bp3-intent-warning.bp3-active{
+      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+      background-color:#a66321;
+      background-image:none; }
+    .bp3-button.bp3-intent-warning:disabled, .bp3-button.bp3-intent-warning.bp3-disabled{
+      border-color:transparent;
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background-color:rgba(217, 130, 43, 0.5);
+      background-image:none;
+      color:rgba(255, 255, 255, 0.6); }
+  .bp3-button.bp3-intent-danger{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+    background-color:#db3737;
+    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.1)), to(rgba(255, 255, 255, 0)));
+    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.1), rgba(255, 255, 255, 0));
+    color:#ffffff; }
+    .bp3-button.bp3-intent-danger:hover, .bp3-button.bp3-intent-danger:active, .bp3-button.bp3-intent-danger.bp3-active{
+      color:#ffffff; }
+    .bp3-button.bp3-intent-danger:hover{
+      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+      background-color:#c23030; }
+    .bp3-button.bp3-intent-danger:active, .bp3-button.bp3-intent-danger.bp3-active{
+      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+      background-color:#a82a2a;
+      background-image:none; }
+    .bp3-button.bp3-intent-danger:disabled, .bp3-button.bp3-intent-danger.bp3-disabled{
+      border-color:transparent;
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background-color:rgba(219, 55, 55, 0.5);
+      background-image:none;
+      color:rgba(255, 255, 255, 0.6); }
+  .bp3-button[class*="bp3-intent-"] .bp3-button-spinner .bp3-spinner-head{
+    stroke:#ffffff; }
+  .bp3-button.bp3-large,
+  .bp3-large .bp3-button{
+    min-width:40px;
+    min-height:40px;
+    padding:5px 15px;
+    font-size:16px; }
+    .bp3-button.bp3-large::before,
+    .bp3-button.bp3-large > *,
+    .bp3-large .bp3-button::before,
+    .bp3-large .bp3-button > *{
+      margin-right:10px; }
+    .bp3-button.bp3-large:empty::before,
+    .bp3-button.bp3-large > :last-child,
+    .bp3-large .bp3-button:empty::before,
+    .bp3-large .bp3-button > :last-child{
+      margin-right:0; }
+  .bp3-button.bp3-small,
+  .bp3-small .bp3-button{
+    min-width:24px;
+    min-height:24px;
+    padding:0 7px; }
+  .bp3-button.bp3-loading{
+    position:relative; }
+    .bp3-button.bp3-loading[class*="bp3-icon-"]::before{
+      visibility:hidden; }
+    .bp3-button.bp3-loading .bp3-button-spinner{
+      position:absolute;
+      margin:0; }
+    .bp3-button.bp3-loading > :not(.bp3-button-spinner){
+      visibility:hidden; }
+  .bp3-button[class*="bp3-icon-"]::before{
+    line-height:1;
+    font-family:"Icons16", sans-serif;
+    font-size:16px;
+    font-weight:400;
+    font-style:normal;
+    -moz-osx-font-smoothing:grayscale;
+    -webkit-font-smoothing:antialiased;
+    color:#5c7080; }
+  .bp3-button .bp3-icon, .bp3-button .bp3-icon-standard, .bp3-button .bp3-icon-large{
+    color:#5c7080; }
+    .bp3-button .bp3-icon.bp3-align-right, .bp3-button .bp3-icon-standard.bp3-align-right, .bp3-button .bp3-icon-large.bp3-align-right{
+      margin-left:7px; }
+  .bp3-button .bp3-icon:first-child:last-child,
+  .bp3-button .bp3-spinner + .bp3-icon:last-child{
+    margin:0 -7px; }
+  .bp3-dark .bp3-button:not([class*="bp3-intent-"]){
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+    background-color:#394b59;
+    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.05)), to(rgba(255, 255, 255, 0)));
+    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.05), rgba(255, 255, 255, 0));
+    color:#f5f8fa; }
+    .bp3-dark .bp3-button:not([class*="bp3-intent-"]):hover, .bp3-dark .bp3-button:not([class*="bp3-intent-"]):active, .bp3-dark .bp3-button:not([class*="bp3-intent-"]).bp3-active{
+      color:#f5f8fa; }
+    .bp3-dark .bp3-button:not([class*="bp3-intent-"]):hover{
+      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+      background-color:#30404d; }
+    .bp3-dark .bp3-button:not([class*="bp3-intent-"]):active, .bp3-dark .bp3-button:not([class*="bp3-intent-"]).bp3-active{
+      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+      background-color:#202b33;
+      background-image:none; }
+    .bp3-dark .bp3-button:not([class*="bp3-intent-"]):disabled, .bp3-dark .bp3-button:not([class*="bp3-intent-"]).bp3-disabled{
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background-color:rgba(57, 75, 89, 0.5);
+      background-image:none;
+      color:rgba(167, 182, 194, 0.6); }
+      .bp3-dark .bp3-button:not([class*="bp3-intent-"]):disabled.bp3-active, .bp3-dark .bp3-button:not([class*="bp3-intent-"]).bp3-disabled.bp3-active{
+        background:rgba(57, 75, 89, 0.7); }
+    .bp3-dark .bp3-button:not([class*="bp3-intent-"]) .bp3-button-spinner .bp3-spinner-head{
+      background:rgba(16, 22, 26, 0.5);
+      stroke:#8a9ba8; }
+    .bp3-dark .bp3-button:not([class*="bp3-intent-"])[class*="bp3-icon-"]::before{
+      color:#a7b6c2; }
+    .bp3-dark .bp3-button:not([class*="bp3-intent-"]) .bp3-icon, .bp3-dark .bp3-button:not([class*="bp3-intent-"]) .bp3-icon-standard, .bp3-dark .bp3-button:not([class*="bp3-intent-"]) .bp3-icon-large{
+      color:#a7b6c2; }
+  .bp3-dark .bp3-button[class*="bp3-intent-"]{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
+    .bp3-dark .bp3-button[class*="bp3-intent-"]:hover{
+      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
+    .bp3-dark .bp3-button[class*="bp3-intent-"]:active, .bp3-dark .bp3-button[class*="bp3-intent-"].bp3-active{
+      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
+    .bp3-dark .bp3-button[class*="bp3-intent-"]:disabled, .bp3-dark .bp3-button[class*="bp3-intent-"].bp3-disabled{
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background-image:none;
+      color:rgba(255, 255, 255, 0.3); }
+    .bp3-dark .bp3-button[class*="bp3-intent-"] .bp3-button-spinner .bp3-spinner-head{
+      stroke:#8a9ba8; }
+  .bp3-button:disabled::before,
+  .bp3-button:disabled .bp3-icon, .bp3-button:disabled .bp3-icon-standard, .bp3-button:disabled .bp3-icon-large, .bp3-button.bp3-disabled::before,
+  .bp3-button.bp3-disabled .bp3-icon, .bp3-button.bp3-disabled .bp3-icon-standard, .bp3-button.bp3-disabled .bp3-icon-large, .bp3-button[class*="bp3-intent-"]::before,
+  .bp3-button[class*="bp3-intent-"] .bp3-icon, .bp3-button[class*="bp3-intent-"] .bp3-icon-standard, .bp3-button[class*="bp3-intent-"] .bp3-icon-large{
+    color:inherit !important; }
+  .bp3-button.bp3-minimal{
+    -webkit-box-shadow:none;
+            box-shadow:none;
+    background:none; }
+    .bp3-button.bp3-minimal:hover{
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background:rgba(167, 182, 194, 0.3);
+      text-decoration:none;
+      color:#182026; }
+    .bp3-button.bp3-minimal:active, .bp3-button.bp3-minimal.bp3-active{
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background:rgba(115, 134, 148, 0.3);
+      color:#182026; }
+    .bp3-button.bp3-minimal:disabled, .bp3-button.bp3-minimal:disabled:hover, .bp3-button.bp3-minimal.bp3-disabled, .bp3-button.bp3-minimal.bp3-disabled:hover{
+      background:none;
+      cursor:not-allowed;
+      color:rgba(92, 112, 128, 0.6); }
+      .bp3-button.bp3-minimal:disabled.bp3-active, .bp3-button.bp3-minimal:disabled:hover.bp3-active, .bp3-button.bp3-minimal.bp3-disabled.bp3-active, .bp3-button.bp3-minimal.bp3-disabled:hover.bp3-active{
+        background:rgba(115, 134, 148, 0.3); }
+    .bp3-dark .bp3-button.bp3-minimal{
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background:none;
+      color:inherit; }
+      .bp3-dark .bp3-button.bp3-minimal:hover, .bp3-dark .bp3-button.bp3-minimal:active, .bp3-dark .bp3-button.bp3-minimal.bp3-active{
+        -webkit-box-shadow:none;
+                box-shadow:none;
+        background:none; }
+      .bp3-dark .bp3-button.bp3-minimal:hover{
+        background:rgba(138, 155, 168, 0.15); }
+      .bp3-dark .bp3-button.bp3-minimal:active, .bp3-dark .bp3-button.bp3-minimal.bp3-active{
+        background:rgba(138, 155, 168, 0.3);
+        color:#f5f8fa; }
+      .bp3-dark .bp3-button.bp3-minimal:disabled, .bp3-dark .bp3-button.bp3-minimal:disabled:hover, .bp3-dark .bp3-button.bp3-minimal.bp3-disabled, .bp3-dark .bp3-button.bp3-minimal.bp3-disabled:hover{
+        background:none;
+        cursor:not-allowed;
+        color:rgba(167, 182, 194, 0.6); }
+        .bp3-dark .bp3-button.bp3-minimal:disabled.bp3-active, .bp3-dark .bp3-button.bp3-minimal:disabled:hover.bp3-active, .bp3-dark .bp3-button.bp3-minimal.bp3-disabled.bp3-active, .bp3-dark .bp3-button.bp3-minimal.bp3-disabled:hover.bp3-active{
+          background:rgba(138, 155, 168, 0.3); }
+    .bp3-button.bp3-minimal.bp3-intent-primary{
+      color:#106ba3; }
+      .bp3-button.bp3-minimal.bp3-intent-primary:hover, .bp3-button.bp3-minimal.bp3-intent-primary:active, .bp3-button.bp3-minimal.bp3-intent-primary.bp3-active{
+        -webkit-box-shadow:none;
+                box-shadow:none;
+        background:none;
+        color:#106ba3; }
+      .bp3-button.bp3-minimal.bp3-intent-primary:hover{
+        background:rgba(19, 124, 189, 0.15);
+        color:#106ba3; }
+      .bp3-button.bp3-minimal.bp3-intent-primary:active, .bp3-button.bp3-minimal.bp3-intent-primary.bp3-active{
+        background:rgba(19, 124, 189, 0.3);
+        color:#106ba3; }
+      .bp3-button.bp3-minimal.bp3-intent-primary:disabled, .bp3-button.bp3-minimal.bp3-intent-primary.bp3-disabled{
+        background:none;
+        color:rgba(16, 107, 163, 0.5); }
+        .bp3-button.bp3-minimal.bp3-intent-primary:disabled.bp3-active, .bp3-button.bp3-minimal.bp3-intent-primary.bp3-disabled.bp3-active{
+          background:rgba(19, 124, 189, 0.3); }
+      .bp3-button.bp3-minimal.bp3-intent-primary .bp3-button-spinner .bp3-spinner-head{
+        stroke:#106ba3; }
+      .bp3-dark .bp3-button.bp3-minimal.bp3-intent-primary{
+        color:#48aff0; }
+        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-primary:hover{
+          background:rgba(19, 124, 189, 0.2);
+          color:#48aff0; }
+        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-primary:active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-primary.bp3-active{
+          background:rgba(19, 124, 189, 0.3);
+          color:#48aff0; }
+        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-primary:disabled, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-primary.bp3-disabled{
+          background:none;
+          color:rgba(72, 175, 240, 0.5); }
+          .bp3-dark .bp3-button.bp3-minimal.bp3-intent-primary:disabled.bp3-active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-primary.bp3-disabled.bp3-active{
+            background:rgba(19, 124, 189, 0.3); }
+    .bp3-button.bp3-minimal.bp3-intent-success{
+      color:#0d8050; }
+      .bp3-button.bp3-minimal.bp3-intent-success:hover, .bp3-button.bp3-minimal.bp3-intent-success:active, .bp3-button.bp3-minimal.bp3-intent-success.bp3-active{
+        -webkit-box-shadow:none;
+                box-shadow:none;
+        background:none;
+        color:#0d8050; }
+      .bp3-button.bp3-minimal.bp3-intent-success:hover{
+        background:rgba(15, 153, 96, 0.15);
+        color:#0d8050; }
+      .bp3-button.bp3-minimal.bp3-intent-success:active, .bp3-button.bp3-minimal.bp3-intent-success.bp3-active{
+        background:rgba(15, 153, 96, 0.3);
+        color:#0d8050; }
+      .bp3-button.bp3-minimal.bp3-intent-success:disabled, .bp3-button.bp3-minimal.bp3-intent-success.bp3-disabled{
+        background:none;
+        color:rgba(13, 128, 80, 0.5); }
+        .bp3-button.bp3-minimal.bp3-intent-success:disabled.bp3-active, .bp3-button.bp3-minimal.bp3-intent-success.bp3-disabled.bp3-active{
+          background:rgba(15, 153, 96, 0.3); }
+      .bp3-button.bp3-minimal.bp3-intent-success .bp3-button-spinner .bp3-spinner-head{
+        stroke:#0d8050; }
+      .bp3-dark .bp3-button.bp3-minimal.bp3-intent-success{
+        color:#3dcc91; }
+        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-success:hover{
+          background:rgba(15, 153, 96, 0.2);
+          color:#3dcc91; }
+        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-success:active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-success.bp3-active{
+          background:rgba(15, 153, 96, 0.3);
+          color:#3dcc91; }
+        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-success:disabled, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-success.bp3-disabled{
+          background:none;
+          color:rgba(61, 204, 145, 0.5); }
+          .bp3-dark .bp3-button.bp3-minimal.bp3-intent-success:disabled.bp3-active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-success.bp3-disabled.bp3-active{
+            background:rgba(15, 153, 96, 0.3); }
+    .bp3-button.bp3-minimal.bp3-intent-warning{
+      color:#bf7326; }
+      .bp3-button.bp3-minimal.bp3-intent-warning:hover, .bp3-button.bp3-minimal.bp3-intent-warning:active, .bp3-button.bp3-minimal.bp3-intent-warning.bp3-active{
+        -webkit-box-shadow:none;
+                box-shadow:none;
+        background:none;
+        color:#bf7326; }
+      .bp3-button.bp3-minimal.bp3-intent-warning:hover{
+        background:rgba(217, 130, 43, 0.15);
+        color:#bf7326; }
+      .bp3-button.bp3-minimal.bp3-intent-warning:active, .bp3-button.bp3-minimal.bp3-intent-warning.bp3-active{
+        background:rgba(217, 130, 43, 0.3);
+        color:#bf7326; }
+      .bp3-button.bp3-minimal.bp3-intent-warning:disabled, .bp3-button.bp3-minimal.bp3-intent-warning.bp3-disabled{
+        background:none;
+        color:rgba(191, 115, 38, 0.5); }
+        .bp3-button.bp3-minimal.bp3-intent-warning:disabled.bp3-active, .bp3-button.bp3-minimal.bp3-intent-warning.bp3-disabled.bp3-active{
+          background:rgba(217, 130, 43, 0.3); }
+      .bp3-button.bp3-minimal.bp3-intent-warning .bp3-button-spinner .bp3-spinner-head{
+        stroke:#bf7326; }
+      .bp3-dark .bp3-button.bp3-minimal.bp3-intent-warning{
+        color:#ffb366; }
+        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-warning:hover{
+          background:rgba(217, 130, 43, 0.2);
+          color:#ffb366; }
+        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-warning:active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-warning.bp3-active{
+          background:rgba(217, 130, 43, 0.3);
+          color:#ffb366; }
+        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-warning:disabled, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-warning.bp3-disabled{
+          background:none;
+          color:rgba(255, 179, 102, 0.5); }
+          .bp3-dark .bp3-button.bp3-minimal.bp3-intent-warning:disabled.bp3-active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-warning.bp3-disabled.bp3-active{
+            background:rgba(217, 130, 43, 0.3); }
+    .bp3-button.bp3-minimal.bp3-intent-danger{
+      color:#c23030; }
+      .bp3-button.bp3-minimal.bp3-intent-danger:hover, .bp3-button.bp3-minimal.bp3-intent-danger:active, .bp3-button.bp3-minimal.bp3-intent-danger.bp3-active{
+        -webkit-box-shadow:none;
+                box-shadow:none;
+        background:none;
+        color:#c23030; }
+      .bp3-button.bp3-minimal.bp3-intent-danger:hover{
+        background:rgba(219, 55, 55, 0.15);
+        color:#c23030; }
+      .bp3-button.bp3-minimal.bp3-intent-danger:active, .bp3-button.bp3-minimal.bp3-intent-danger.bp3-active{
+        background:rgba(219, 55, 55, 0.3);
+        color:#c23030; }
+      .bp3-button.bp3-minimal.bp3-intent-danger:disabled, .bp3-button.bp3-minimal.bp3-intent-danger.bp3-disabled{
+        background:none;
+        color:rgba(194, 48, 48, 0.5); }
+        .bp3-button.bp3-minimal.bp3-intent-danger:disabled.bp3-active, .bp3-button.bp3-minimal.bp3-intent-danger.bp3-disabled.bp3-active{
+          background:rgba(219, 55, 55, 0.3); }
+      .bp3-button.bp3-minimal.bp3-intent-danger .bp3-button-spinner .bp3-spinner-head{
+        stroke:#c23030; }
+      .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger{
+        color:#ff7373; }
+        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger:hover{
+          background:rgba(219, 55, 55, 0.2);
+          color:#ff7373; }
+        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger:active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger.bp3-active{
+          background:rgba(219, 55, 55, 0.3);
+          color:#ff7373; }
+        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger:disabled, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger.bp3-disabled{
+          background:none;
+          color:rgba(255, 115, 115, 0.5); }
+          .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger:disabled.bp3-active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger.bp3-disabled.bp3-active{
+            background:rgba(219, 55, 55, 0.3); }
+
+a.bp3-button{
+  text-align:center;
+  text-decoration:none;
+  -webkit-transition:none;
+  transition:none; }
+  a.bp3-button, a.bp3-button:hover, a.bp3-button:active{
+    color:#182026; }
+  a.bp3-button.bp3-disabled{
+    color:rgba(92, 112, 128, 0.6); }
+
+.bp3-button-text{
+  -webkit-box-flex:0;
+      -ms-flex:0 1 auto;
+          flex:0 1 auto; }
+
+.bp3-button.bp3-align-left .bp3-button-text, .bp3-button.bp3-align-right .bp3-button-text,
+.bp3-button-group.bp3-align-left .bp3-button-text,
+.bp3-button-group.bp3-align-right .bp3-button-text{
+  -webkit-box-flex:1;
+      -ms-flex:1 1 auto;
+          flex:1 1 auto; }
+.bp3-button-group{
+  display:-webkit-inline-box;
+  display:-ms-inline-flexbox;
+  display:inline-flex; }
+  .bp3-button-group .bp3-button{
+    -webkit-box-flex:0;
+        -ms-flex:0 0 auto;
+            flex:0 0 auto;
+    position:relative;
+    z-index:4; }
+    .bp3-button-group .bp3-button:focus{
+      z-index:5; }
+    .bp3-button-group .bp3-button:hover{
+      z-index:6; }
+    .bp3-button-group .bp3-button:active, .bp3-button-group .bp3-button.bp3-active{
+      z-index:7; }
+    .bp3-button-group .bp3-button:disabled, .bp3-button-group .bp3-button.bp3-disabled{
+      z-index:3; }
+    .bp3-button-group .bp3-button[class*="bp3-intent-"]{
+      z-index:9; }
+      .bp3-button-group .bp3-button[class*="bp3-intent-"]:focus{
+        z-index:10; }
+      .bp3-button-group .bp3-button[class*="bp3-intent-"]:hover{
+        z-index:11; }
+      .bp3-button-group .bp3-button[class*="bp3-intent-"]:active, .bp3-button-group .bp3-button[class*="bp3-intent-"].bp3-active{
+        z-index:12; }
+      .bp3-button-group .bp3-button[class*="bp3-intent-"]:disabled, .bp3-button-group .bp3-button[class*="bp3-intent-"].bp3-disabled{
+        z-index:8; }
+  .bp3-button-group:not(.bp3-minimal) > .bp3-popover-wrapper:not(:first-child) .bp3-button,
+  .bp3-button-group:not(.bp3-minimal) > .bp3-button:not(:first-child){
+    border-top-left-radius:0;
+    border-bottom-left-radius:0; }
+  .bp3-button-group:not(.bp3-minimal) > .bp3-popover-wrapper:not(:last-child) .bp3-button,
+  .bp3-button-group:not(.bp3-minimal) > .bp3-button:not(:last-child){
+    margin-right:-1px;
+    border-top-right-radius:0;
+    border-bottom-right-radius:0; }
+  .bp3-button-group.bp3-minimal .bp3-button{
+    -webkit-box-shadow:none;
+            box-shadow:none;
+    background:none; }
+    .bp3-button-group.bp3-minimal .bp3-button:hover{
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background:rgba(167, 182, 194, 0.3);
+      text-decoration:none;
+      color:#182026; }
+    .bp3-button-group.bp3-minimal .bp3-button:active, .bp3-button-group.bp3-minimal .bp3-button.bp3-active{
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background:rgba(115, 134, 148, 0.3);
+      color:#182026; }
+    .bp3-button-group.bp3-minimal .bp3-button:disabled, .bp3-button-group.bp3-minimal .bp3-button:disabled:hover, .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled, .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled:hover{
+      background:none;
+      cursor:not-allowed;
+      color:rgba(92, 112, 128, 0.6); }
+      .bp3-button-group.bp3-minimal .bp3-button:disabled.bp3-active, .bp3-button-group.bp3-minimal .bp3-button:disabled:hover.bp3-active, .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled.bp3-active, .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled:hover.bp3-active{
+        background:rgba(115, 134, 148, 0.3); }
+    .bp3-dark .bp3-button-group.bp3-minimal .bp3-button{
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background:none;
+      color:inherit; }
+      .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:hover, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-active{
+        -webkit-box-shadow:none;
+                box-shadow:none;
+        background:none; }
+      .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:hover{
+        background:rgba(138, 155, 168, 0.15); }
+      .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-active{
+        background:rgba(138, 155, 168, 0.3);
+        color:#f5f8fa; }
+      .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:disabled, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:disabled:hover, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled:hover{
+        background:none;
+        cursor:not-allowed;
+        color:rgba(167, 182, 194, 0.6); }
+        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:disabled.bp3-active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:disabled:hover.bp3-active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled.bp3-active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled:hover.bp3-active{
+          background:rgba(138, 155, 168, 0.3); }
+    .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary{
+      color:#106ba3; }
+      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary:hover, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary:active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary.bp3-active{
+        -webkit-box-shadow:none;
+                box-shadow:none;
+        background:none;
+        color:#106ba3; }
+      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary:hover{
+        background:rgba(19, 124, 189, 0.15);
+        color:#106ba3; }
+      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary:active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary.bp3-active{
+        background:rgba(19, 124, 189, 0.3);
+        color:#106ba3; }
+      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary:disabled, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary.bp3-disabled{
+        background:none;
+        color:rgba(16, 107, 163, 0.5); }
+        .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary:disabled.bp3-active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary.bp3-disabled.bp3-active{
+          background:rgba(19, 124, 189, 0.3); }
+      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary .bp3-button-spinner .bp3-spinner-head{
+        stroke:#106ba3; }
+      .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary{
+        color:#48aff0; }
+        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary:hover{
+          background:rgba(19, 124, 189, 0.2);
+          color:#48aff0; }
+        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary:active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary.bp3-active{
+          background:rgba(19, 124, 189, 0.3);
+          color:#48aff0; }
+        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary:disabled, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary.bp3-disabled{
+          background:none;
+          color:rgba(72, 175, 240, 0.5); }
+          .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary:disabled.bp3-active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary.bp3-disabled.bp3-active{
+            background:rgba(19, 124, 189, 0.3); }
+    .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success{
+      color:#0d8050; }
+      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success:hover, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success:active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success.bp3-active{
+        -webkit-box-shadow:none;
+                box-shadow:none;
+        background:none;
+        color:#0d8050; }
+      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success:hover{
+        background:rgba(15, 153, 96, 0.15);
+        color:#0d8050; }
+      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success:active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success.bp3-active{
+        background:rgba(15, 153, 96, 0.3);
+        color:#0d8050; }
+      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success:disabled, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success.bp3-disabled{
+        background:none;
+        color:rgba(13, 128, 80, 0.5); }
+        .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success:disabled.bp3-active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success.bp3-disabled.bp3-active{
+          background:rgba(15, 153, 96, 0.3); }
+      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success .bp3-button-spinner .bp3-spinner-head{
+        stroke:#0d8050; }
+      .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success{
+        color:#3dcc91; }
+        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success:hover{
+          background:rgba(15, 153, 96, 0.2);
+          color:#3dcc91; }
+        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success:active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success.bp3-active{
+          background:rgba(15, 153, 96, 0.3);
+          color:#3dcc91; }
+        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success:disabled, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success.bp3-disabled{
+          background:none;
+          color:rgba(61, 204, 145, 0.5); }
+          .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success:disabled.bp3-active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success.bp3-disabled.bp3-active{
+            background:rgba(15, 153, 96, 0.3); }
+    .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning{
+      color:#bf7326; }
+      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning:hover, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning:active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning.bp3-active{
+        -webkit-box-shadow:none;
+                box-shadow:none;
+        background:none;
+        color:#bf7326; }
+      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning:hover{
+        background:rgba(217, 130, 43, 0.15);
+        color:#bf7326; }
+      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning:active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning.bp3-active{
+        background:rgba(217, 130, 43, 0.3);
+        color:#bf7326; }
+      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning:disabled, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning.bp3-disabled{
+        background:none;
+        color:rgba(191, 115, 38, 0.5); }
+        .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning:disabled.bp3-active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning.bp3-disabled.bp3-active{
+          background:rgba(217, 130, 43, 0.3); }
+      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning .bp3-button-spinner .bp3-spinner-head{
+        stroke:#bf7326; }
+      .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning{
+        color:#ffb366; }
+        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning:hover{
+          background:rgba(217, 130, 43, 0.2);
+          color:#ffb366; }
+        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning:active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning.bp3-active{
+          background:rgba(217, 130, 43, 0.3);
+          color:#ffb366; }
+        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning:disabled, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning.bp3-disabled{
+          background:none;
+          color:rgba(255, 179, 102, 0.5); }
+          .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning:disabled.bp3-active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning.bp3-disabled.bp3-active{
+            background:rgba(217, 130, 43, 0.3); }
+    .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger{
+      color:#c23030; }
+      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger:hover, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger:active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger.bp3-active{
+        -webkit-box-shadow:none;
+                box-shadow:none;
+        background:none;
+        color:#c23030; }
+      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger:hover{
+        background:rgba(219, 55, 55, 0.15);
+        color:#c23030; }
+      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger:active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger.bp3-active{
+        background:rgba(219, 55, 55, 0.3);
+        color:#c23030; }
+      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger:disabled, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger.bp3-disabled{
+        background:none;
+        color:rgba(194, 48, 48, 0.5); }
+        .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger:disabled.bp3-active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger.bp3-disabled.bp3-active{
+          background:rgba(219, 55, 55, 0.3); }
+      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger .bp3-button-spinner .bp3-spinner-head{
+        stroke:#c23030; }
+      .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger{
+        color:#ff7373; }
+        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger:hover{
+          background:rgba(219, 55, 55, 0.2);
+          color:#ff7373; }
+        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger:active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger.bp3-active{
+          background:rgba(219, 55, 55, 0.3);
+          color:#ff7373; }
+        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger:disabled, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger.bp3-disabled{
+          background:none;
+          color:rgba(255, 115, 115, 0.5); }
+          .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger:disabled.bp3-active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger.bp3-disabled.bp3-active{
+            background:rgba(219, 55, 55, 0.3); }
+  .bp3-button-group .bp3-popover-wrapper,
+  .bp3-button-group .bp3-popover-target{
+    display:-webkit-box;
+    display:-ms-flexbox;
+    display:flex;
+    -webkit-box-flex:1;
+        -ms-flex:1 1 auto;
+            flex:1 1 auto; }
+  .bp3-button-group.bp3-fill{
+    display:-webkit-box;
+    display:-ms-flexbox;
+    display:flex;
+    width:100%; }
+  .bp3-button-group .bp3-button.bp3-fill,
+  .bp3-button-group.bp3-fill .bp3-button:not(.bp3-fixed){
+    -webkit-box-flex:1;
+        -ms-flex:1 1 auto;
+            flex:1 1 auto; }
+  .bp3-button-group.bp3-vertical{
+    -webkit-box-orient:vertical;
+    -webkit-box-direction:normal;
+        -ms-flex-direction:column;
+            flex-direction:column;
+    -webkit-box-align:stretch;
+        -ms-flex-align:stretch;
+            align-items:stretch;
+    vertical-align:top; }
+    .bp3-button-group.bp3-vertical.bp3-fill{
+      width:unset;
+      height:100%; }
+    .bp3-button-group.bp3-vertical .bp3-button{
+      margin-right:0 !important;
+      width:100%; }
+    .bp3-button-group.bp3-vertical:not(.bp3-minimal) > .bp3-popover-wrapper:first-child .bp3-button,
+    .bp3-button-group.bp3-vertical:not(.bp3-minimal) > .bp3-button:first-child{
+      border-radius:3px 3px 0 0; }
+    .bp3-button-group.bp3-vertical:not(.bp3-minimal) > .bp3-popover-wrapper:last-child .bp3-button,
+    .bp3-button-group.bp3-vertical:not(.bp3-minimal) > .bp3-button:last-child{
+      border-radius:0 0 3px 3px; }
+    .bp3-button-group.bp3-vertical:not(.bp3-minimal) > .bp3-popover-wrapper:not(:last-child) .bp3-button,
+    .bp3-button-group.bp3-vertical:not(.bp3-minimal) > .bp3-button:not(:last-child){
+      margin-bottom:-1px; }
+  .bp3-button-group.bp3-align-left .bp3-button{
+    text-align:left; }
+  .bp3-dark .bp3-button-group:not(.bp3-minimal) > .bp3-popover-wrapper:not(:last-child) .bp3-button,
+  .bp3-dark .bp3-button-group:not(.bp3-minimal) > .bp3-button:not(:last-child){
+    margin-right:1px; }
+  .bp3-dark .bp3-button-group.bp3-vertical > .bp3-popover-wrapper:not(:last-child) .bp3-button,
+  .bp3-dark .bp3-button-group.bp3-vertical > .bp3-button:not(:last-child){
+    margin-bottom:1px; }
+.bp3-callout{
+  line-height:1.5;
+  font-size:14px;
+  position:relative;
+  border-radius:3px;
+  background-color:rgba(138, 155, 168, 0.15);
+  width:100%;
+  padding:10px 12px 9px; }
+  .bp3-callout[class*="bp3-icon-"]{
+    padding-left:40px; }
+    .bp3-callout[class*="bp3-icon-"]::before{
+      line-height:1;
+      font-family:"Icons20", sans-serif;
+      font-size:20px;
+      font-weight:400;
+      font-style:normal;
+      -moz-osx-font-smoothing:grayscale;
+      -webkit-font-smoothing:antialiased;
+      position:absolute;
+      top:10px;
+      left:10px;
+      color:#5c7080; }
+  .bp3-callout.bp3-callout-icon{
+    padding-left:40px; }
+    .bp3-callout.bp3-callout-icon > .bp3-icon:first-child{
+      position:absolute;
+      top:10px;
+      left:10px;
+      color:#5c7080; }
+  .bp3-callout .bp3-heading{
+    margin-top:0;
+    margin-bottom:5px;
+    line-height:20px; }
+    .bp3-callout .bp3-heading:last-child{
+      margin-bottom:0; }
+  .bp3-dark .bp3-callout{
+    background-color:rgba(138, 155, 168, 0.2); }
+    .bp3-dark .bp3-callout[class*="bp3-icon-"]::before{
+      color:#a7b6c2; }
+  .bp3-callout.bp3-intent-primary{
+    background-color:rgba(19, 124, 189, 0.15); }
+    .bp3-callout.bp3-intent-primary[class*="bp3-icon-"]::before,
+    .bp3-callout.bp3-intent-primary > .bp3-icon:first-child,
+    .bp3-callout.bp3-intent-primary .bp3-heading{
+      color:#106ba3; }
+    .bp3-dark .bp3-callout.bp3-intent-primary{
+      background-color:rgba(19, 124, 189, 0.25); }
+      .bp3-dark .bp3-callout.bp3-intent-primary[class*="bp3-icon-"]::before,
+      .bp3-dark .bp3-callout.bp3-intent-primary > .bp3-icon:first-child,
+      .bp3-dark .bp3-callout.bp3-intent-primary .bp3-heading{
+        color:#48aff0; }
+  .bp3-callout.bp3-intent-success{
+    background-color:rgba(15, 153, 96, 0.15); }
+    .bp3-callout.bp3-intent-success[class*="bp3-icon-"]::before,
+    .bp3-callout.bp3-intent-success > .bp3-icon:first-child,
+    .bp3-callout.bp3-intent-success .bp3-heading{
+      color:#0d8050; }
+    .bp3-dark .bp3-callout.bp3-intent-success{
+      background-color:rgba(15, 153, 96, 0.25); }
+      .bp3-dark .bp3-callout.bp3-intent-success[class*="bp3-icon-"]::before,
+      .bp3-dark .bp3-callout.bp3-intent-success > .bp3-icon:first-child,
+      .bp3-dark .bp3-callout.bp3-intent-success .bp3-heading{
+        color:#3dcc91; }
+  .bp3-callout.bp3-intent-warning{
+    background-color:rgba(217, 130, 43, 0.15); }
+    .bp3-callout.bp3-intent-warning[class*="bp3-icon-"]::before,
+    .bp3-callout.bp3-intent-warning > .bp3-icon:first-child,
+    .bp3-callout.bp3-intent-warning .bp3-heading{
+      color:#bf7326; }
+    .bp3-dark .bp3-callout.bp3-intent-warning{
+      background-color:rgba(217, 130, 43, 0.25); }
+      .bp3-dark .bp3-callout.bp3-intent-warning[class*="bp3-icon-"]::before,
+      .bp3-dark .bp3-callout.bp3-intent-warning > .bp3-icon:first-child,
+      .bp3-dark .bp3-callout.bp3-intent-warning .bp3-heading{
+        color:#ffb366; }
+  .bp3-callout.bp3-intent-danger{
+    background-color:rgba(219, 55, 55, 0.15); }
+    .bp3-callout.bp3-intent-danger[class*="bp3-icon-"]::before,
+    .bp3-callout.bp3-intent-danger > .bp3-icon:first-child,
+    .bp3-callout.bp3-intent-danger .bp3-heading{
+      color:#c23030; }
+    .bp3-dark .bp3-callout.bp3-intent-danger{
+      background-color:rgba(219, 55, 55, 0.25); }
+      .bp3-dark .bp3-callout.bp3-intent-danger[class*="bp3-icon-"]::before,
+      .bp3-dark .bp3-callout.bp3-intent-danger > .bp3-icon:first-child,
+      .bp3-dark .bp3-callout.bp3-intent-danger .bp3-heading{
+        color:#ff7373; }
+  .bp3-running-text .bp3-callout{
+    margin:20px 0; }
+.bp3-card{
+  border-radius:3px;
+  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.15), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0);
+          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.15), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0);
+  background-color:#ffffff;
+  padding:20px;
+  -webkit-transition:-webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
+  transition:-webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
+  transition:transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9), box-shadow 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
+  transition:transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9), box-shadow 200ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 200ms cubic-bezier(0.4, 1, 0.75, 0.9); }
+  .bp3-card.bp3-dark,
+  .bp3-dark .bp3-card{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0);
+    background-color:#30404d; }
+
+.bp3-elevation-0{
+  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.15), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0);
+          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.15), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0); }
+  .bp3-elevation-0.bp3-dark,
+  .bp3-dark .bp3-elevation-0{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0); }
+
+.bp3-elevation-1{
+  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.2);
+          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.2); }
+  .bp3-elevation-1.bp3-dark,
+  .bp3-dark .bp3-elevation-1{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4); }
+
+.bp3-elevation-2{
+  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 1px 1px rgba(16, 22, 26, 0.2), 0 2px 6px rgba(16, 22, 26, 0.2);
+          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 1px 1px rgba(16, 22, 26, 0.2), 0 2px 6px rgba(16, 22, 26, 0.2); }
+  .bp3-elevation-2.bp3-dark,
+  .bp3-dark .bp3-elevation-2{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 1px 1px rgba(16, 22, 26, 0.4), 0 2px 6px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 1px 1px rgba(16, 22, 26, 0.4), 0 2px 6px rgba(16, 22, 26, 0.4); }
+
+.bp3-elevation-3{
+  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);
+          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2); }
+  .bp3-elevation-3.bp3-dark,
+  .bp3-dark .bp3-elevation-3{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4); }
+
+.bp3-elevation-4{
+  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);
+          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2); }
+  .bp3-elevation-4.bp3-dark,
+  .bp3-dark .bp3-elevation-4{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 4px 8px rgba(16, 22, 26, 0.4), 0 18px 46px 6px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 4px 8px rgba(16, 22, 26, 0.4), 0 18px 46px 6px rgba(16, 22, 26, 0.4); }
+
+.bp3-card.bp3-interactive:hover{
+  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);
+          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);
+  cursor:pointer; }
+  .bp3-card.bp3-interactive:hover.bp3-dark,
+  .bp3-dark .bp3-card.bp3-interactive:hover{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4); }
+
+.bp3-card.bp3-interactive:active{
+  opacity:0.9;
+  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.2);
+          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.2);
+  -webkit-transition-duration:0;
+          transition-duration:0; }
+  .bp3-card.bp3-interactive:active.bp3-dark,
+  .bp3-dark .bp3-card.bp3-interactive:active{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4); }
+
+.bp3-collapse{
+  height:0;
+  overflow-y:hidden;
+  -webkit-transition:height 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
+  transition:height 200ms cubic-bezier(0.4, 1, 0.75, 0.9); }
+  .bp3-collapse .bp3-collapse-body{
+    -webkit-transition:-webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
+    transition:-webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
+    transition:transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
+    transition:transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9); }
+    .bp3-collapse .bp3-collapse-body[aria-hidden="true"]{
+      display:none; }
+
+.bp3-context-menu .bp3-popover-target{
+  display:block; }
+
+.bp3-context-menu-popover-target{
+  position:fixed; }
+
+.bp3-divider{
+  margin:5px;
+  border-right:1px solid rgba(16, 22, 26, 0.15);
+  border-bottom:1px solid rgba(16, 22, 26, 0.15); }
+  .bp3-dark .bp3-divider{
+    border-color:rgba(16, 22, 26, 0.4); }
+.bp3-dialog-container{
+  opacity:1;
+  -webkit-transform:scale(1);
+          transform:scale(1);
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -webkit-box-align:center;
+      -ms-flex-align:center;
+          align-items:center;
+  -webkit-box-pack:center;
+      -ms-flex-pack:center;
+          justify-content:center;
+  width:100%;
+  min-height:100%;
+  pointer-events:none;
+  -webkit-user-select:none;
+     -moz-user-select:none;
+      -ms-user-select:none;
+          user-select:none; }
+  .bp3-dialog-container.bp3-overlay-enter > .bp3-dialog, .bp3-dialog-container.bp3-overlay-appear > .bp3-dialog{
+    opacity:0;
+    -webkit-transform:scale(0.5);
+            transform:scale(0.5); }
+  .bp3-dialog-container.bp3-overlay-enter-active > .bp3-dialog, .bp3-dialog-container.bp3-overlay-appear-active > .bp3-dialog{
+    opacity:1;
+    -webkit-transform:scale(1);
+            transform:scale(1);
+    -webkit-transition-property:opacity, -webkit-transform;
+    transition-property:opacity, -webkit-transform;
+    transition-property:opacity, transform;
+    transition-property:opacity, transform, -webkit-transform;
+    -webkit-transition-duration:300ms;
+            transition-duration:300ms;
+    -webkit-transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);
+            transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);
+    -webkit-transition-delay:0;
+            transition-delay:0; }
+  .bp3-dialog-container.bp3-overlay-exit > .bp3-dialog{
+    opacity:1;
+    -webkit-transform:scale(1);
+            transform:scale(1); }
+  .bp3-dialog-container.bp3-overlay-exit-active > .bp3-dialog{
+    opacity:0;
+    -webkit-transform:scale(0.5);
+            transform:scale(0.5);
+    -webkit-transition-property:opacity, -webkit-transform;
+    transition-property:opacity, -webkit-transform;
+    transition-property:opacity, transform;
+    transition-property:opacity, transform, -webkit-transform;
+    -webkit-transition-duration:300ms;
+            transition-duration:300ms;
+    -webkit-transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);
+            transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);
+    -webkit-transition-delay:0;
+            transition-delay:0; }
+
+.bp3-dialog{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -webkit-box-orient:vertical;
+  -webkit-box-direction:normal;
+      -ms-flex-direction:column;
+          flex-direction:column;
+  margin:30px 0;
+  border-radius:6px;
+  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);
+          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);
+  background:#ebf1f5;
+  width:500px;
+  padding-bottom:20px;
+  pointer-events:all;
+  -webkit-user-select:text;
+     -moz-user-select:text;
+      -ms-user-select:text;
+          user-select:text; }
+  .bp3-dialog:focus{
+    outline:0; }
+  .bp3-dialog.bp3-dark,
+  .bp3-dark .bp3-dialog{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 4px 8px rgba(16, 22, 26, 0.4), 0 18px 46px 6px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 4px 8px rgba(16, 22, 26, 0.4), 0 18px 46px 6px rgba(16, 22, 26, 0.4);
+    background:#293742;
+    color:#f5f8fa; }
+
+.bp3-dialog-header{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -webkit-box-flex:0;
+      -ms-flex:0 0 auto;
+          flex:0 0 auto;
+  -webkit-box-align:center;
+      -ms-flex-align:center;
+          align-items:center;
+  border-radius:6px 6px 0 0;
+  -webkit-box-shadow:0 1px 0 rgba(16, 22, 26, 0.15);
+          box-shadow:0 1px 0 rgba(16, 22, 26, 0.15);
+  background:#ffffff;
+  min-height:40px;
+  padding-right:5px;
+  padding-left:20px; }
+  .bp3-dialog-header .bp3-icon-large,
+  .bp3-dialog-header .bp3-icon{
+    -webkit-box-flex:0;
+        -ms-flex:0 0 auto;
+            flex:0 0 auto;
+    margin-right:10px;
+    color:#5c7080; }
+  .bp3-dialog-header .bp3-heading{
+    overflow:hidden;
+    text-overflow:ellipsis;
+    white-space:nowrap;
+    word-wrap:normal;
+    -webkit-box-flex:1;
+        -ms-flex:1 1 auto;
+            flex:1 1 auto;
+    margin:0;
+    line-height:inherit; }
+    .bp3-dialog-header .bp3-heading:last-child{
+      margin-right:20px; }
+  .bp3-dark .bp3-dialog-header{
+    -webkit-box-shadow:0 1px 0 rgba(16, 22, 26, 0.4);
+            box-shadow:0 1px 0 rgba(16, 22, 26, 0.4);
+    background:#30404d; }
+    .bp3-dark .bp3-dialog-header .bp3-icon-large,
+    .bp3-dark .bp3-dialog-header .bp3-icon{
+      color:#a7b6c2; }
+
+.bp3-dialog-body{
+  -webkit-box-flex:1;
+      -ms-flex:1 1 auto;
+          flex:1 1 auto;
+  margin:20px;
+  line-height:18px; }
+
+.bp3-dialog-footer{
+  -webkit-box-flex:0;
+      -ms-flex:0 0 auto;
+          flex:0 0 auto;
+  margin:0 20px; }
+
+.bp3-dialog-footer-actions{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -webkit-box-pack:end;
+      -ms-flex-pack:end;
+          justify-content:flex-end; }
+  .bp3-dialog-footer-actions .bp3-button{
+    margin-left:10px; }
+.bp3-drawer{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -webkit-box-orient:vertical;
+  -webkit-box-direction:normal;
+      -ms-flex-direction:column;
+          flex-direction:column;
+  margin:0;
+  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);
+          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);
+  background:#ffffff;
+  padding:0; }
+  .bp3-drawer:focus{
+    outline:0; }
+  .bp3-drawer.bp3-position-top{
+    top:0;
+    right:0;
+    left:0;
+    height:50%; }
+    .bp3-drawer.bp3-position-top.bp3-overlay-enter, .bp3-drawer.bp3-position-top.bp3-overlay-appear{
+      -webkit-transform:translateY(-100%);
+              transform:translateY(-100%); }
+    .bp3-drawer.bp3-position-top.bp3-overlay-enter-active, .bp3-drawer.bp3-position-top.bp3-overlay-appear-active{
+      -webkit-transform:translateY(0);
+              transform:translateY(0);
+      -webkit-transition-property:-webkit-transform;
+      transition-property:-webkit-transform;
+      transition-property:transform;
+      transition-property:transform, -webkit-transform;
+      -webkit-transition-duration:200ms;
+              transition-duration:200ms;
+      -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+      -webkit-transition-delay:0;
+              transition-delay:0; }
+    .bp3-drawer.bp3-position-top.bp3-overlay-exit{
+      -webkit-transform:translateY(0);
+              transform:translateY(0); }
+    .bp3-drawer.bp3-position-top.bp3-overlay-exit-active{
+      -webkit-transform:translateY(-100%);
+              transform:translateY(-100%);
+      -webkit-transition-property:-webkit-transform;
+      transition-property:-webkit-transform;
+      transition-property:transform;
+      transition-property:transform, -webkit-transform;
+      -webkit-transition-duration:100ms;
+              transition-duration:100ms;
+      -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+      -webkit-transition-delay:0;
+              transition-delay:0; }
+  .bp3-drawer.bp3-position-bottom{
+    right:0;
+    bottom:0;
+    left:0;
+    height:50%; }
+    .bp3-drawer.bp3-position-bottom.bp3-overlay-enter, .bp3-drawer.bp3-position-bottom.bp3-overlay-appear{
+      -webkit-transform:translateY(100%);
+              transform:translateY(100%); }
+    .bp3-drawer.bp3-position-bottom.bp3-overlay-enter-active, .bp3-drawer.bp3-position-bottom.bp3-overlay-appear-active{
+      -webkit-transform:translateY(0);
+              transform:translateY(0);
+      -webkit-transition-property:-webkit-transform;
+      transition-property:-webkit-transform;
+      transition-property:transform;
+      transition-property:transform, -webkit-transform;
+      -webkit-transition-duration:200ms;
+              transition-duration:200ms;
+      -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+      -webkit-transition-delay:0;
+              transition-delay:0; }
+    .bp3-drawer.bp3-position-bottom.bp3-overlay-exit{
+      -webkit-transform:translateY(0);
+              transform:translateY(0); }
+    .bp3-drawer.bp3-position-bottom.bp3-overlay-exit-active{
+      -webkit-transform:translateY(100%);
+              transform:translateY(100%);
+      -webkit-transition-property:-webkit-transform;
+      transition-property:-webkit-transform;
+      transition-property:transform;
+      transition-property:transform, -webkit-transform;
+      -webkit-transition-duration:100ms;
+              transition-duration:100ms;
+      -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+      -webkit-transition-delay:0;
+              transition-delay:0; }
+  .bp3-drawer.bp3-position-left{
+    top:0;
+    bottom:0;
+    left:0;
+    width:50%; }
+    .bp3-drawer.bp3-position-left.bp3-overlay-enter, .bp3-drawer.bp3-position-left.bp3-overlay-appear{
+      -webkit-transform:translateX(-100%);
+              transform:translateX(-100%); }
+    .bp3-drawer.bp3-position-left.bp3-overlay-enter-active, .bp3-drawer.bp3-position-left.bp3-overlay-appear-active{
+      -webkit-transform:translateX(0);
+              transform:translateX(0);
+      -webkit-transition-property:-webkit-transform;
+      transition-property:-webkit-transform;
+      transition-property:transform;
+      transition-property:transform, -webkit-transform;
+      -webkit-transition-duration:200ms;
+              transition-duration:200ms;
+      -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+      -webkit-transition-delay:0;
+              transition-delay:0; }
+    .bp3-drawer.bp3-position-left.bp3-overlay-exit{
+      -webkit-transform:translateX(0);
+              transform:translateX(0); }
+    .bp3-drawer.bp3-position-left.bp3-overlay-exit-active{
+      -webkit-transform:translateX(-100%);
+              transform:translateX(-100%);
+      -webkit-transition-property:-webkit-transform;
+      transition-property:-webkit-transform;
+      transition-property:transform;
+      transition-property:transform, -webkit-transform;
+      -webkit-transition-duration:100ms;
+              transition-duration:100ms;
+      -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+      -webkit-transition-delay:0;
+              transition-delay:0; }
+  .bp3-drawer.bp3-position-right{
+    top:0;
+    right:0;
+    bottom:0;
+    width:50%; }
+    .bp3-drawer.bp3-position-right.bp3-overlay-enter, .bp3-drawer.bp3-position-right.bp3-overlay-appear{
+      -webkit-transform:translateX(100%);
+              transform:translateX(100%); }
+    .bp3-drawer.bp3-position-right.bp3-overlay-enter-active, .bp3-drawer.bp3-position-right.bp3-overlay-appear-active{
+      -webkit-transform:translateX(0);
+              transform:translateX(0);
+      -webkit-transition-property:-webkit-transform;
+      transition-property:-webkit-transform;
+      transition-property:transform;
+      transition-property:transform, -webkit-transform;
+      -webkit-transition-duration:200ms;
+              transition-duration:200ms;
+      -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+      -webkit-transition-delay:0;
+              transition-delay:0; }
+    .bp3-drawer.bp3-position-right.bp3-overlay-exit{
+      -webkit-transform:translateX(0);
+              transform:translateX(0); }
+    .bp3-drawer.bp3-position-right.bp3-overlay-exit-active{
+      -webkit-transform:translateX(100%);
+              transform:translateX(100%);
+      -webkit-transition-property:-webkit-transform;
+      transition-property:-webkit-transform;
+      transition-property:transform;
+      transition-property:transform, -webkit-transform;
+      -webkit-transition-duration:100ms;
+              transition-duration:100ms;
+      -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+      -webkit-transition-delay:0;
+              transition-delay:0; }
+  .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(
+  .bp3-position-right):not(.bp3-vertical){
+    top:0;
+    right:0;
+    bottom:0;
+    width:50%; }
+    .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(
+    .bp3-position-right):not(.bp3-vertical).bp3-overlay-enter, .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(
+    .bp3-position-right):not(.bp3-vertical).bp3-overlay-appear{
+      -webkit-transform:translateX(100%);
+              transform:translateX(100%); }
+    .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(
+    .bp3-position-right):not(.bp3-vertical).bp3-overlay-enter-active, .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(
+    .bp3-position-right):not(.bp3-vertical).bp3-overlay-appear-active{
+      -webkit-transform:translateX(0);
+              transform:translateX(0);
+      -webkit-transition-property:-webkit-transform;
+      transition-property:-webkit-transform;
+      transition-property:transform;
+      transition-property:transform, -webkit-transform;
+      -webkit-transition-duration:200ms;
+              transition-duration:200ms;
+      -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+      -webkit-transition-delay:0;
+              transition-delay:0; }
+    .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(
+    .bp3-position-right):not(.bp3-vertical).bp3-overlay-exit{
+      -webkit-transform:translateX(0);
+              transform:translateX(0); }
+    .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(
+    .bp3-position-right):not(.bp3-vertical).bp3-overlay-exit-active{
+      -webkit-transform:translateX(100%);
+              transform:translateX(100%);
+      -webkit-transition-property:-webkit-transform;
+      transition-property:-webkit-transform;
+      transition-property:transform;
+      transition-property:transform, -webkit-transform;
+      -webkit-transition-duration:100ms;
+              transition-duration:100ms;
+      -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+      -webkit-transition-delay:0;
+              transition-delay:0; }
+  .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(
+  .bp3-position-right).bp3-vertical{
+    right:0;
+    bottom:0;
+    left:0;
+    height:50%; }
+    .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(
+    .bp3-position-right).bp3-vertical.bp3-overlay-enter, .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(
+    .bp3-position-right).bp3-vertical.bp3-overlay-appear{
+      -webkit-transform:translateY(100%);
+              transform:translateY(100%); }
+    .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(
+    .bp3-position-right).bp3-vertical.bp3-overlay-enter-active, .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(
+    .bp3-position-right).bp3-vertical.bp3-overlay-appear-active{
+      -webkit-transform:translateY(0);
+              transform:translateY(0);
+      -webkit-transition-property:-webkit-transform;
+      transition-property:-webkit-transform;
+      transition-property:transform;
+      transition-property:transform, -webkit-transform;
+      -webkit-transition-duration:200ms;
+              transition-duration:200ms;
+      -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+      -webkit-transition-delay:0;
+              transition-delay:0; }
+    .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(
+    .bp3-position-right).bp3-vertical.bp3-overlay-exit{
+      -webkit-transform:translateY(0);
+              transform:translateY(0); }
+    .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(
+    .bp3-position-right).bp3-vertical.bp3-overlay-exit-active{
+      -webkit-transform:translateY(100%);
+              transform:translateY(100%);
+      -webkit-transition-property:-webkit-transform;
+      transition-property:-webkit-transform;
+      transition-property:transform;
+      transition-property:transform, -webkit-transform;
+      -webkit-transition-duration:100ms;
+              transition-duration:100ms;
+      -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+      -webkit-transition-delay:0;
+              transition-delay:0; }
+  .bp3-drawer.bp3-dark,
+  .bp3-dark .bp3-drawer{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 4px 8px rgba(16, 22, 26, 0.4), 0 18px 46px 6px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 4px 8px rgba(16, 22, 26, 0.4), 0 18px 46px 6px rgba(16, 22, 26, 0.4);
+    background:#30404d;
+    color:#f5f8fa; }
+
+.bp3-drawer-header{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -webkit-box-flex:0;
+      -ms-flex:0 0 auto;
+          flex:0 0 auto;
+  -webkit-box-align:center;
+      -ms-flex-align:center;
+          align-items:center;
+  position:relative;
+  border-radius:0;
+  -webkit-box-shadow:0 1px 0 rgba(16, 22, 26, 0.15);
+          box-shadow:0 1px 0 rgba(16, 22, 26, 0.15);
+  min-height:40px;
+  padding:5px;
+  padding-left:20px; }
+  .bp3-drawer-header .bp3-icon-large,
+  .bp3-drawer-header .bp3-icon{
+    -webkit-box-flex:0;
+        -ms-flex:0 0 auto;
+            flex:0 0 auto;
+    margin-right:10px;
+    color:#5c7080; }
+  .bp3-drawer-header .bp3-heading{
+    overflow:hidden;
+    text-overflow:ellipsis;
+    white-space:nowrap;
+    word-wrap:normal;
+    -webkit-box-flex:1;
+        -ms-flex:1 1 auto;
+            flex:1 1 auto;
+    margin:0;
+    line-height:inherit; }
+    .bp3-drawer-header .bp3-heading:last-child{
+      margin-right:20px; }
+  .bp3-dark .bp3-drawer-header{
+    -webkit-box-shadow:0 1px 0 rgba(16, 22, 26, 0.4);
+            box-shadow:0 1px 0 rgba(16, 22, 26, 0.4); }
+    .bp3-dark .bp3-drawer-header .bp3-icon-large,
+    .bp3-dark .bp3-drawer-header .bp3-icon{
+      color:#a7b6c2; }
+
+.bp3-drawer-body{
+  -webkit-box-flex:1;
+      -ms-flex:1 1 auto;
+          flex:1 1 auto;
+  overflow:auto;
+  line-height:18px; }
+
+.bp3-drawer-footer{
+  -webkit-box-flex:0;
+      -ms-flex:0 0 auto;
+          flex:0 0 auto;
+  position:relative;
+  -webkit-box-shadow:inset 0 1px 0 rgba(16, 22, 26, 0.15);
+          box-shadow:inset 0 1px 0 rgba(16, 22, 26, 0.15);
+  padding:10px 20px; }
+  .bp3-dark .bp3-drawer-footer{
+    -webkit-box-shadow:inset 0 1px 0 rgba(16, 22, 26, 0.4);
+            box-shadow:inset 0 1px 0 rgba(16, 22, 26, 0.4); }
+.bp3-editable-text{
+  display:inline-block;
+  position:relative;
+  cursor:text;
+  max-width:100%;
+  vertical-align:top;
+  white-space:nowrap; }
+  .bp3-editable-text::before{
+    position:absolute;
+    top:-3px;
+    right:-3px;
+    bottom:-3px;
+    left:-3px;
+    border-radius:3px;
+    content:"";
+    -webkit-transition:background-color 100ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
+    transition:background-color 100ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
+    transition:background-color 100ms cubic-bezier(0.4, 1, 0.75, 0.9), box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
+    transition:background-color 100ms cubic-bezier(0.4, 1, 0.75, 0.9), box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9); }
+  .bp3-editable-text:hover::before{
+    -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.15);
+            box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.15); }
+  .bp3-editable-text.bp3-editable-text-editing::before{
+    -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+            box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+    background-color:#ffffff; }
+  .bp3-editable-text.bp3-disabled::before{
+    -webkit-box-shadow:none;
+            box-shadow:none; }
+  .bp3-editable-text.bp3-intent-primary .bp3-editable-text-input,
+  .bp3-editable-text.bp3-intent-primary .bp3-editable-text-content{
+    color:#137cbd; }
+  .bp3-editable-text.bp3-intent-primary:hover::before{
+    -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(19, 124, 189, 0.4);
+            box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(19, 124, 189, 0.4); }
+  .bp3-editable-text.bp3-intent-primary.bp3-editable-text-editing::before{
+    -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+            box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+  .bp3-editable-text.bp3-intent-success .bp3-editable-text-input,
+  .bp3-editable-text.bp3-intent-success .bp3-editable-text-content{
+    color:#0f9960; }
+  .bp3-editable-text.bp3-intent-success:hover::before{
+    -webkit-box-shadow:0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), inset 0 0 0 1px rgba(15, 153, 96, 0.4);
+            box-shadow:0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), inset 0 0 0 1px rgba(15, 153, 96, 0.4); }
+  .bp3-editable-text.bp3-intent-success.bp3-editable-text-editing::before{
+    -webkit-box-shadow:0 0 0 1px #0f9960, 0 0 0 3px rgba(15, 153, 96, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+            box-shadow:0 0 0 1px #0f9960, 0 0 0 3px rgba(15, 153, 96, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+  .bp3-editable-text.bp3-intent-warning .bp3-editable-text-input,
+  .bp3-editable-text.bp3-intent-warning .bp3-editable-text-content{
+    color:#d9822b; }
+  .bp3-editable-text.bp3-intent-warning:hover::before{
+    -webkit-box-shadow:0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), inset 0 0 0 1px rgba(217, 130, 43, 0.4);
+            box-shadow:0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), inset 0 0 0 1px rgba(217, 130, 43, 0.4); }
+  .bp3-editable-text.bp3-intent-warning.bp3-editable-text-editing::before{
+    -webkit-box-shadow:0 0 0 1px #d9822b, 0 0 0 3px rgba(217, 130, 43, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+            box-shadow:0 0 0 1px #d9822b, 0 0 0 3px rgba(217, 130, 43, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+  .bp3-editable-text.bp3-intent-danger .bp3-editable-text-input,
+  .bp3-editable-text.bp3-intent-danger .bp3-editable-text-content{
+    color:#db3737; }
+  .bp3-editable-text.bp3-intent-danger:hover::before{
+    -webkit-box-shadow:0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), inset 0 0 0 1px rgba(219, 55, 55, 0.4);
+            box-shadow:0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), inset 0 0 0 1px rgba(219, 55, 55, 0.4); }
+  .bp3-editable-text.bp3-intent-danger.bp3-editable-text-editing::before{
+    -webkit-box-shadow:0 0 0 1px #db3737, 0 0 0 3px rgba(219, 55, 55, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+            box-shadow:0 0 0 1px #db3737, 0 0 0 3px rgba(219, 55, 55, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+  .bp3-dark .bp3-editable-text:hover::before{
+    -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(255, 255, 255, 0.15);
+            box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(255, 255, 255, 0.15); }
+  .bp3-dark .bp3-editable-text.bp3-editable-text-editing::before{
+    -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+    background-color:rgba(16, 22, 26, 0.3); }
+  .bp3-dark .bp3-editable-text.bp3-disabled::before{
+    -webkit-box-shadow:none;
+            box-shadow:none; }
+  .bp3-dark .bp3-editable-text.bp3-intent-primary .bp3-editable-text-content{
+    color:#48aff0; }
+  .bp3-dark .bp3-editable-text.bp3-intent-primary:hover::before{
+    -webkit-box-shadow:0 0 0 0 rgba(72, 175, 240, 0), 0 0 0 0 rgba(72, 175, 240, 0), inset 0 0 0 1px rgba(72, 175, 240, 0.4);
+            box-shadow:0 0 0 0 rgba(72, 175, 240, 0), 0 0 0 0 rgba(72, 175, 240, 0), inset 0 0 0 1px rgba(72, 175, 240, 0.4); }
+  .bp3-dark .bp3-editable-text.bp3-intent-primary.bp3-editable-text-editing::before{
+    -webkit-box-shadow:0 0 0 1px #48aff0, 0 0 0 3px rgba(72, 175, 240, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px #48aff0, 0 0 0 3px rgba(72, 175, 240, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
+  .bp3-dark .bp3-editable-text.bp3-intent-success .bp3-editable-text-content{
+    color:#3dcc91; }
+  .bp3-dark .bp3-editable-text.bp3-intent-success:hover::before{
+    -webkit-box-shadow:0 0 0 0 rgba(61, 204, 145, 0), 0 0 0 0 rgba(61, 204, 145, 0), inset 0 0 0 1px rgba(61, 204, 145, 0.4);
+            box-shadow:0 0 0 0 rgba(61, 204, 145, 0), 0 0 0 0 rgba(61, 204, 145, 0), inset 0 0 0 1px rgba(61, 204, 145, 0.4); }
+  .bp3-dark .bp3-editable-text.bp3-intent-success.bp3-editable-text-editing::before{
+    -webkit-box-shadow:0 0 0 1px #3dcc91, 0 0 0 3px rgba(61, 204, 145, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px #3dcc91, 0 0 0 3px rgba(61, 204, 145, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
+  .bp3-dark .bp3-editable-text.bp3-intent-warning .bp3-editable-text-content{
+    color:#ffb366; }
+  .bp3-dark .bp3-editable-text.bp3-intent-warning:hover::before{
+    -webkit-box-shadow:0 0 0 0 rgba(255, 179, 102, 0), 0 0 0 0 rgba(255, 179, 102, 0), inset 0 0 0 1px rgba(255, 179, 102, 0.4);
+            box-shadow:0 0 0 0 rgba(255, 179, 102, 0), 0 0 0 0 rgba(255, 179, 102, 0), inset 0 0 0 1px rgba(255, 179, 102, 0.4); }
+  .bp3-dark .bp3-editable-text.bp3-intent-warning.bp3-editable-text-editing::before{
+    -webkit-box-shadow:0 0 0 1px #ffb366, 0 0 0 3px rgba(255, 179, 102, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px #ffb366, 0 0 0 3px rgba(255, 179, 102, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
+  .bp3-dark .bp3-editable-text.bp3-intent-danger .bp3-editable-text-content{
+    color:#ff7373; }
+  .bp3-dark .bp3-editable-text.bp3-intent-danger:hover::before{
+    -webkit-box-shadow:0 0 0 0 rgba(255, 115, 115, 0), 0 0 0 0 rgba(255, 115, 115, 0), inset 0 0 0 1px rgba(255, 115, 115, 0.4);
+            box-shadow:0 0 0 0 rgba(255, 115, 115, 0), 0 0 0 0 rgba(255, 115, 115, 0), inset 0 0 0 1px rgba(255, 115, 115, 0.4); }
+  .bp3-dark .bp3-editable-text.bp3-intent-danger.bp3-editable-text-editing::before{
+    -webkit-box-shadow:0 0 0 1px #ff7373, 0 0 0 3px rgba(255, 115, 115, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px #ff7373, 0 0 0 3px rgba(255, 115, 115, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
+
+.bp3-editable-text-input,
+.bp3-editable-text-content{
+  display:inherit;
+  position:relative;
+  min-width:inherit;
+  max-width:inherit;
+  vertical-align:top;
+  text-transform:inherit;
+  letter-spacing:inherit;
+  color:inherit;
+  font:inherit;
+  resize:none; }
+
+.bp3-editable-text-input{
+  border:none;
+  -webkit-box-shadow:none;
+          box-shadow:none;
+  background:none;
+  width:100%;
+  padding:0;
+  white-space:pre-wrap; }
+  .bp3-editable-text-input::-webkit-input-placeholder{
+    opacity:1;
+    color:rgba(92, 112, 128, 0.6); }
+  .bp3-editable-text-input::-moz-placeholder{
+    opacity:1;
+    color:rgba(92, 112, 128, 0.6); }
+  .bp3-editable-text-input:-ms-input-placeholder{
+    opacity:1;
+    color:rgba(92, 112, 128, 0.6); }
+  .bp3-editable-text-input::-ms-input-placeholder{
+    opacity:1;
+    color:rgba(92, 112, 128, 0.6); }
+  .bp3-editable-text-input::placeholder{
+    opacity:1;
+    color:rgba(92, 112, 128, 0.6); }
+  .bp3-editable-text-input:focus{
+    outline:none; }
+  .bp3-editable-text-input::-ms-clear{
+    display:none; }
+
+.bp3-editable-text-content{
+  overflow:hidden;
+  padding-right:2px;
+  text-overflow:ellipsis;
+  white-space:pre; }
+  .bp3-editable-text-editing > .bp3-editable-text-content{
+    position:absolute;
+    left:0;
+    visibility:hidden; }
+  .bp3-editable-text-placeholder > .bp3-editable-text-content{
+    color:rgba(92, 112, 128, 0.6); }
+    .bp3-dark .bp3-editable-text-placeholder > .bp3-editable-text-content{
+      color:rgba(167, 182, 194, 0.6); }
+
+.bp3-editable-text.bp3-multiline{
+  display:block; }
+  .bp3-editable-text.bp3-multiline .bp3-editable-text-content{
+    overflow:auto;
+    white-space:pre-wrap;
+    word-wrap:break-word; }
+.bp3-control-group{
+  -webkit-transform:translateZ(0);
+          transform:translateZ(0);
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -webkit-box-orient:horizontal;
+  -webkit-box-direction:normal;
+      -ms-flex-direction:row;
+          flex-direction:row;
+  -webkit-box-align:stretch;
+      -ms-flex-align:stretch;
+          align-items:stretch; }
+  .bp3-control-group > *{
+    -webkit-box-flex:0;
+        -ms-flex-positive:0;
+            flex-grow:0;
+    -ms-flex-negative:0;
+        flex-shrink:0; }
+  .bp3-control-group > .bp3-fill{
+    -webkit-box-flex:1;
+        -ms-flex-positive:1;
+            flex-grow:1;
+    -ms-flex-negative:1;
+        flex-shrink:1; }
+  .bp3-control-group .bp3-button,
+  .bp3-control-group .bp3-html-select,
+  .bp3-control-group .bp3-input,
+  .bp3-control-group .bp3-select{
+    position:relative; }
+  .bp3-control-group .bp3-input{
+    z-index:2;
+    border-radius:inherit; }
+    .bp3-control-group .bp3-input:focus{
+      z-index:14;
+      border-radius:3px; }
+    .bp3-control-group .bp3-input[class*="bp3-intent"]{
+      z-index:13; }
+      .bp3-control-group .bp3-input[class*="bp3-intent"]:focus{
+        z-index:15; }
+    .bp3-control-group .bp3-input[readonly], .bp3-control-group .bp3-input:disabled, .bp3-control-group .bp3-input.bp3-disabled{
+      z-index:1; }
+  .bp3-control-group .bp3-input-group[class*="bp3-intent"] .bp3-input{
+    z-index:13; }
+    .bp3-control-group .bp3-input-group[class*="bp3-intent"] .bp3-input:focus{
+      z-index:15; }
+  .bp3-control-group .bp3-button,
+  .bp3-control-group .bp3-html-select select,
+  .bp3-control-group .bp3-select select{
+    -webkit-transform:translateZ(0);
+            transform:translateZ(0);
+    z-index:4;
+    border-radius:inherit; }
+    .bp3-control-group .bp3-button:focus,
+    .bp3-control-group .bp3-html-select select:focus,
+    .bp3-control-group .bp3-select select:focus{
+      z-index:5; }
+    .bp3-control-group .bp3-button:hover,
+    .bp3-control-group .bp3-html-select select:hover,
+    .bp3-control-group .bp3-select select:hover{
+      z-index:6; }
+    .bp3-control-group .bp3-button:active,
+    .bp3-control-group .bp3-html-select select:active,
+    .bp3-control-group .bp3-select select:active{
+      z-index:7; }
+    .bp3-control-group .bp3-button[readonly], .bp3-control-group .bp3-button:disabled, .bp3-control-group .bp3-button.bp3-disabled,
+    .bp3-control-group .bp3-html-select select[readonly],
+    .bp3-control-group .bp3-html-select select:disabled,
+    .bp3-control-group .bp3-html-select select.bp3-disabled,
+    .bp3-control-group .bp3-select select[readonly],
+    .bp3-control-group .bp3-select select:disabled,
+    .bp3-control-group .bp3-select select.bp3-disabled{
+      z-index:3; }
+    .bp3-control-group .bp3-button[class*="bp3-intent"],
+    .bp3-control-group .bp3-html-select select[class*="bp3-intent"],
+    .bp3-control-group .bp3-select select[class*="bp3-intent"]{
+      z-index:9; }
+      .bp3-control-group .bp3-button[class*="bp3-intent"]:focus,
+      .bp3-control-group .bp3-html-select select[class*="bp3-intent"]:focus,
+      .bp3-control-group .bp3-select select[class*="bp3-intent"]:focus{
+        z-index:10; }
+      .bp3-control-group .bp3-button[class*="bp3-intent"]:hover,
+      .bp3-control-group .bp3-html-select select[class*="bp3-intent"]:hover,
+      .bp3-control-group .bp3-select select[class*="bp3-intent"]:hover{
+        z-index:11; }
+      .bp3-control-group .bp3-button[class*="bp3-intent"]:active,
+      .bp3-control-group .bp3-html-select select[class*="bp3-intent"]:active,
+      .bp3-control-group .bp3-select select[class*="bp3-intent"]:active{
+        z-index:12; }
+      .bp3-control-group .bp3-button[class*="bp3-intent"][readonly], .bp3-control-group .bp3-button[class*="bp3-intent"]:disabled, .bp3-control-group .bp3-button[class*="bp3-intent"].bp3-disabled,
+      .bp3-control-group .bp3-html-select select[class*="bp3-intent"][readonly],
+      .bp3-control-group .bp3-html-select select[class*="bp3-intent"]:disabled,
+      .bp3-control-group .bp3-html-select select[class*="bp3-intent"].bp3-disabled,
+      .bp3-control-group .bp3-select select[class*="bp3-intent"][readonly],
+      .bp3-control-group .bp3-select select[class*="bp3-intent"]:disabled,
+      .bp3-control-group .bp3-select select[class*="bp3-intent"].bp3-disabled{
+        z-index:8; }
+  .bp3-control-group .bp3-input-group > .bp3-icon,
+  .bp3-control-group .bp3-input-group > .bp3-button,
+  .bp3-control-group .bp3-input-group > .bp3-input-action{
+    z-index:16; }
+  .bp3-control-group .bp3-select::after,
+  .bp3-control-group .bp3-html-select::after,
+  .bp3-control-group .bp3-select > .bp3-icon,
+  .bp3-control-group .bp3-html-select > .bp3-icon{
+    z-index:17; }
+  .bp3-control-group:not(.bp3-vertical) > *{
+    margin-right:-1px; }
+  .bp3-dark .bp3-control-group:not(.bp3-vertical) > *{
+    margin-right:0; }
+  .bp3-dark .bp3-control-group:not(.bp3-vertical) > .bp3-button + .bp3-button{
+    margin-left:1px; }
+  .bp3-control-group .bp3-popover-wrapper,
+  .bp3-control-group .bp3-popover-target{
+    border-radius:inherit; }
+  .bp3-control-group > :first-child{
+    border-radius:3px 0 0 3px; }
+  .bp3-control-group > :last-child{
+    margin-right:0;
+    border-radius:0 3px 3px 0; }
+  .bp3-control-group > :only-child{
+    margin-right:0;
+    border-radius:3px; }
+  .bp3-control-group .bp3-input-group .bp3-button{
+    border-radius:3px; }
+  .bp3-control-group > .bp3-fill{
+    -webkit-box-flex:1;
+        -ms-flex:1 1 auto;
+            flex:1 1 auto; }
+  .bp3-control-group.bp3-fill > *:not(.bp3-fixed){
+    -webkit-box-flex:1;
+        -ms-flex:1 1 auto;
+            flex:1 1 auto; }
+  .bp3-control-group.bp3-vertical{
+    -webkit-box-orient:vertical;
+    -webkit-box-direction:normal;
+        -ms-flex-direction:column;
+            flex-direction:column; }
+    .bp3-control-group.bp3-vertical > *{
+      margin-top:-1px; }
+    .bp3-control-group.bp3-vertical > :first-child{
+      margin-top:0;
+      border-radius:3px 3px 0 0; }
+    .bp3-control-group.bp3-vertical > :last-child{
+      border-radius:0 0 3px 3px; }
+.bp3-control{
+  display:block;
+  position:relative;
+  margin-bottom:10px;
+  cursor:pointer;
+  text-transform:none; }
+  .bp3-control input:checked ~ .bp3-control-indicator{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+    background-color:#137cbd;
+    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.1)), to(rgba(255, 255, 255, 0)));
+    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.1), rgba(255, 255, 255, 0));
+    color:#ffffff; }
+  .bp3-control:hover input:checked ~ .bp3-control-indicator{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+    background-color:#106ba3; }
+  .bp3-control input:not(:disabled):active:checked ~ .bp3-control-indicator{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+    background:#0e5a8a; }
+  .bp3-control input:disabled:checked ~ .bp3-control-indicator{
+    -webkit-box-shadow:none;
+            box-shadow:none;
+    background:rgba(19, 124, 189, 0.5); }
+  .bp3-dark .bp3-control input:checked ~ .bp3-control-indicator{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
+  .bp3-dark .bp3-control:hover input:checked ~ .bp3-control-indicator{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+    background-color:#106ba3; }
+  .bp3-dark .bp3-control input:not(:disabled):active:checked ~ .bp3-control-indicator{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+    background-color:#0e5a8a; }
+  .bp3-dark .bp3-control input:disabled:checked ~ .bp3-control-indicator{
+    -webkit-box-shadow:none;
+            box-shadow:none;
+    background:rgba(14, 90, 138, 0.5); }
+  .bp3-control:not(.bp3-align-right){
+    padding-left:26px; }
+    .bp3-control:not(.bp3-align-right) .bp3-control-indicator{
+      margin-left:-26px; }
+  .bp3-control.bp3-align-right{
+    padding-right:26px; }
+    .bp3-control.bp3-align-right .bp3-control-indicator{
+      margin-right:-26px; }
+  .bp3-control.bp3-disabled{
+    cursor:not-allowed;
+    color:rgba(92, 112, 128, 0.6); }
+  .bp3-control.bp3-inline{
+    display:inline-block;
+    margin-right:20px; }
+  .bp3-control input{
+    position:absolute;
+    top:0;
+    left:0;
+    opacity:0;
+    z-index:-1; }
+  .bp3-control .bp3-control-indicator{
+    display:inline-block;
+    position:relative;
+    margin-top:-3px;
+    margin-right:10px;
+    border:none;
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+    background-clip:padding-box;
+    background-color:#f5f8fa;
+    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.8)), to(rgba(255, 255, 255, 0)));
+    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.8), rgba(255, 255, 255, 0));
+    cursor:pointer;
+    width:1em;
+    height:1em;
+    vertical-align:middle;
+    font-size:16px;
+    -webkit-user-select:none;
+       -moz-user-select:none;
+        -ms-user-select:none;
+            user-select:none; }
+    .bp3-control .bp3-control-indicator::before{
+      display:block;
+      width:1em;
+      height:1em;
+      content:""; }
+  .bp3-control:hover .bp3-control-indicator{
+    background-color:#ebf1f5; }
+  .bp3-control input:not(:disabled):active ~ .bp3-control-indicator{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+    background:#d8e1e8; }
+  .bp3-control input:disabled ~ .bp3-control-indicator{
+    -webkit-box-shadow:none;
+            box-shadow:none;
+    background:rgba(206, 217, 224, 0.5);
+    cursor:not-allowed; }
+  .bp3-control input:focus ~ .bp3-control-indicator{
+    outline:rgba(19, 124, 189, 0.6) auto 2px;
+    outline-offset:2px;
+    -moz-outline-radius:6px; }
+  .bp3-control.bp3-align-right .bp3-control-indicator{
+    float:right;
+    margin-top:1px;
+    margin-left:10px; }
+  .bp3-control.bp3-large{
+    font-size:16px; }
+    .bp3-control.bp3-large:not(.bp3-align-right){
+      padding-left:30px; }
+      .bp3-control.bp3-large:not(.bp3-align-right) .bp3-control-indicator{
+        margin-left:-30px; }
+    .bp3-control.bp3-large.bp3-align-right{
+      padding-right:30px; }
+      .bp3-control.bp3-large.bp3-align-right .bp3-control-indicator{
+        margin-right:-30px; }
+    .bp3-control.bp3-large .bp3-control-indicator{
+      font-size:20px; }
+    .bp3-control.bp3-large.bp3-align-right .bp3-control-indicator{
+      margin-top:0; }
+  .bp3-control.bp3-checkbox input:indeterminate ~ .bp3-control-indicator{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+    background-color:#137cbd;
+    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.1)), to(rgba(255, 255, 255, 0)));
+    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.1), rgba(255, 255, 255, 0));
+    color:#ffffff; }
+  .bp3-control.bp3-checkbox:hover input:indeterminate ~ .bp3-control-indicator{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
+    background-color:#106ba3; }
+  .bp3-control.bp3-checkbox input:not(:disabled):active:indeterminate ~ .bp3-control-indicator{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+    background:#0e5a8a; }
+  .bp3-control.bp3-checkbox input:disabled:indeterminate ~ .bp3-control-indicator{
+    -webkit-box-shadow:none;
+            box-shadow:none;
+    background:rgba(19, 124, 189, 0.5); }
+  .bp3-dark .bp3-control.bp3-checkbox input:indeterminate ~ .bp3-control-indicator{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
+  .bp3-dark .bp3-control.bp3-checkbox:hover input:indeterminate ~ .bp3-control-indicator{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+    background-color:#106ba3; }
+  .bp3-dark .bp3-control.bp3-checkbox input:not(:disabled):active:indeterminate ~ .bp3-control-indicator{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+    background-color:#0e5a8a; }
+  .bp3-dark .bp3-control.bp3-checkbox input:disabled:indeterminate ~ .bp3-control-indicator{
+    -webkit-box-shadow:none;
+            box-shadow:none;
+    background:rgba(14, 90, 138, 0.5); }
+  .bp3-control.bp3-checkbox .bp3-control-indicator{
+    border-radius:3px; }
+  .bp3-control.bp3-checkbox input:checked ~ .bp3-control-indicator::before{
+    background-image:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill-rule='evenodd' clip-rule='evenodd' d='M12 5c-.28 0-.53.11-.71.29L7 9.59l-2.29-2.3a1.003 1.003 0 0 0-1.42 1.42l3 3c.18.18.43.29.71.29s.53-.11.71-.29l5-5A1.003 1.003 0 0 0 12 5z' fill='white'/%3e%3c/svg%3e"); }
+  .bp3-control.bp3-checkbox input:indeterminate ~ .bp3-control-indicator::before{
+    background-image:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 7H5c-.55 0-1 .45-1 1s.45 1 1 1h6c.55 0 1-.45 1-1s-.45-1-1-1z' fill='white'/%3e%3c/svg%3e"); }
+  .bp3-control.bp3-radio .bp3-control-indicator{
+    border-radius:50%; }
+  .bp3-control.bp3-radio input:checked ~ .bp3-control-indicator::before{
+    background-image:radial-gradient(#ffffff, #ffffff 28%, transparent 32%); }
+  .bp3-control.bp3-radio input:checked:disabled ~ .bp3-control-indicator::before{
+    opacity:0.5; }
+  .bp3-control.bp3-radio input:focus ~ .bp3-control-indicator{
+    -moz-outline-radius:16px; }
+  .bp3-control.bp3-switch input ~ .bp3-control-indicator{
+    background:rgba(167, 182, 194, 0.5); }
+  .bp3-control.bp3-switch:hover input ~ .bp3-control-indicator{
+    background:rgba(115, 134, 148, 0.5); }
+  .bp3-control.bp3-switch input:not(:disabled):active ~ .bp3-control-indicator{
+    background:rgba(92, 112, 128, 0.5); }
+  .bp3-control.bp3-switch input:disabled ~ .bp3-control-indicator{
+    background:rgba(206, 217, 224, 0.5); }
+    .bp3-control.bp3-switch input:disabled ~ .bp3-control-indicator::before{
+      background:rgba(255, 255, 255, 0.8); }
+  .bp3-control.bp3-switch input:checked ~ .bp3-control-indicator{
+    background:#137cbd; }
+  .bp3-control.bp3-switch:hover input:checked ~ .bp3-control-indicator{
+    background:#106ba3; }
+  .bp3-control.bp3-switch input:checked:not(:disabled):active ~ .bp3-control-indicator{
+    background:#0e5a8a; }
+  .bp3-control.bp3-switch input:checked:disabled ~ .bp3-control-indicator{
+    background:rgba(19, 124, 189, 0.5); }
+    .bp3-control.bp3-switch input:checked:disabled ~ .bp3-control-indicator::before{
+      background:rgba(255, 255, 255, 0.8); }
+  .bp3-control.bp3-switch:not(.bp3-align-right){
+    padding-left:38px; }
+    .bp3-control.bp3-switch:not(.bp3-align-right) .bp3-control-indicator{
+      margin-left:-38px; }
+  .bp3-control.bp3-switch.bp3-align-right{
+    padding-right:38px; }
+    .bp3-control.bp3-switch.bp3-align-right .bp3-control-indicator{
+      margin-right:-38px; }
+  .bp3-control.bp3-switch .bp3-control-indicator{
+    border:none;
+    border-radius:1.75em;
+    -webkit-box-shadow:none !important;
+            box-shadow:none !important;
+    width:auto;
+    min-width:1.75em;
+    -webkit-transition:background-color 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
+    transition:background-color 100ms cubic-bezier(0.4, 1, 0.75, 0.9); }
+    .bp3-control.bp3-switch .bp3-control-indicator::before{
+      position:absolute;
+      left:0;
+      margin:2px;
+      border-radius:50%;
+      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 1px 1px rgba(16, 22, 26, 0.2);
+              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 1px 1px rgba(16, 22, 26, 0.2);
+      background:#ffffff;
+      width:calc(1em - 4px);
+      height:calc(1em - 4px);
+      -webkit-transition:left 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
+      transition:left 100ms cubic-bezier(0.4, 1, 0.75, 0.9); }
+  .bp3-control.bp3-switch input:checked ~ .bp3-control-indicator::before{
+    left:calc(100% - 1em); }
+  .bp3-control.bp3-switch.bp3-large:not(.bp3-align-right){
+    padding-left:45px; }
+    .bp3-control.bp3-switch.bp3-large:not(.bp3-align-right) .bp3-control-indicator{
+      margin-left:-45px; }
+  .bp3-control.bp3-switch.bp3-large.bp3-align-right{
+    padding-right:45px; }
+    .bp3-control.bp3-switch.bp3-large.bp3-align-right .bp3-control-indicator{
+      margin-right:-45px; }
+  .bp3-dark .bp3-control.bp3-switch input ~ .bp3-control-indicator{
+    background:rgba(16, 22, 26, 0.5); }
+  .bp3-dark .bp3-control.bp3-switch:hover input ~ .bp3-control-indicator{
+    background:rgba(16, 22, 26, 0.7); }
+  .bp3-dark .bp3-control.bp3-switch input:not(:disabled):active ~ .bp3-control-indicator{
+    background:rgba(16, 22, 26, 0.9); }
+  .bp3-dark .bp3-control.bp3-switch input:disabled ~ .bp3-control-indicator{
+    background:rgba(57, 75, 89, 0.5); }
+    .bp3-dark .bp3-control.bp3-switch input:disabled ~ .bp3-control-indicator::before{
+      background:rgba(16, 22, 26, 0.4); }
+  .bp3-dark .bp3-control.bp3-switch input:checked ~ .bp3-control-indicator{
+    background:#137cbd; }
+  .bp3-dark .bp3-control.bp3-switch:hover input:checked ~ .bp3-control-indicator{
+    background:#106ba3; }
+  .bp3-dark .bp3-control.bp3-switch input:checked:not(:disabled):active ~ .bp3-control-indicator{
+    background:#0e5a8a; }
+  .bp3-dark .bp3-control.bp3-switch input:checked:disabled ~ .bp3-control-indicator{
+    background:rgba(14, 90, 138, 0.5); }
+    .bp3-dark .bp3-control.bp3-switch input:checked:disabled ~ .bp3-control-indicator::before{
+      background:rgba(16, 22, 26, 0.4); }
+  .bp3-dark .bp3-control.bp3-switch .bp3-control-indicator::before{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+    background:#394b59; }
+  .bp3-dark .bp3-control.bp3-switch input:checked ~ .bp3-control-indicator::before{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4); }
+  .bp3-control.bp3-switch .bp3-switch-inner-text{
+    text-align:center;
+    font-size:0.7em; }
+  .bp3-control.bp3-switch .bp3-control-indicator-child:first-child{
+    visibility:hidden;
+    margin-right:1.2em;
+    margin-left:0.5em;
+    line-height:0; }
+  .bp3-control.bp3-switch .bp3-control-indicator-child:last-child{
+    visibility:visible;
+    margin-right:0.5em;
+    margin-left:1.2em;
+    line-height:1em; }
+  .bp3-control.bp3-switch input:checked ~ .bp3-control-indicator .bp3-control-indicator-child:first-child{
+    visibility:visible;
+    line-height:1em; }
+  .bp3-control.bp3-switch input:checked ~ .bp3-control-indicator .bp3-control-indicator-child:last-child{
+    visibility:hidden;
+    line-height:0; }
+  .bp3-dark .bp3-control{
+    color:#f5f8fa; }
+    .bp3-dark .bp3-control.bp3-disabled{
+      color:rgba(167, 182, 194, 0.6); }
+    .bp3-dark .bp3-control .bp3-control-indicator{
+      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+      background-color:#394b59;
+      background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.05)), to(rgba(255, 255, 255, 0)));
+      background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.05), rgba(255, 255, 255, 0)); }
+    .bp3-dark .bp3-control:hover .bp3-control-indicator{
+      background-color:#30404d; }
+    .bp3-dark .bp3-control input:not(:disabled):active ~ .bp3-control-indicator{
+      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+      background:#202b33; }
+    .bp3-dark .bp3-control input:disabled ~ .bp3-control-indicator{
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background:rgba(57, 75, 89, 0.5);
+      cursor:not-allowed; }
+    .bp3-dark .bp3-control.bp3-checkbox input:disabled:checked ~ .bp3-control-indicator, .bp3-dark .bp3-control.bp3-checkbox input:disabled:indeterminate ~ .bp3-control-indicator{
+      color:rgba(167, 182, 194, 0.6); }
+.bp3-file-input{
+  display:inline-block;
+  position:relative;
+  cursor:pointer;
+  height:30px; }
+  .bp3-file-input input{
+    opacity:0;
+    margin:0;
+    min-width:200px; }
+    .bp3-file-input input:disabled + .bp3-file-upload-input,
+    .bp3-file-input input.bp3-disabled + .bp3-file-upload-input{
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background:rgba(206, 217, 224, 0.5);
+      cursor:not-allowed;
+      color:rgba(92, 112, 128, 0.6);
+      resize:none; }
+      .bp3-file-input input:disabled + .bp3-file-upload-input::after,
+      .bp3-file-input input.bp3-disabled + .bp3-file-upload-input::after{
+        outline:none;
+        -webkit-box-shadow:none;
+                box-shadow:none;
+        background-color:rgba(206, 217, 224, 0.5);
+        background-image:none;
+        cursor:not-allowed;
+        color:rgba(92, 112, 128, 0.6); }
+        .bp3-file-input input:disabled + .bp3-file-upload-input::after.bp3-active, .bp3-file-input input:disabled + .bp3-file-upload-input::after.bp3-active:hover,
+        .bp3-file-input input.bp3-disabled + .bp3-file-upload-input::after.bp3-active,
+        .bp3-file-input input.bp3-disabled + .bp3-file-upload-input::after.bp3-active:hover{
+          background:rgba(206, 217, 224, 0.7); }
+      .bp3-dark .bp3-file-input input:disabled + .bp3-file-upload-input, .bp3-dark
+      .bp3-file-input input.bp3-disabled + .bp3-file-upload-input{
+        -webkit-box-shadow:none;
+                box-shadow:none;
+        background:rgba(57, 75, 89, 0.5);
+        color:rgba(167, 182, 194, 0.6); }
+        .bp3-dark .bp3-file-input input:disabled + .bp3-file-upload-input::after, .bp3-dark
+        .bp3-file-input input.bp3-disabled + .bp3-file-upload-input::after{
+          -webkit-box-shadow:none;
+                  box-shadow:none;
+          background-color:rgba(57, 75, 89, 0.5);
+          background-image:none;
+          color:rgba(167, 182, 194, 0.6); }
+          .bp3-dark .bp3-file-input input:disabled + .bp3-file-upload-input::after.bp3-active, .bp3-dark
+          .bp3-file-input input.bp3-disabled + .bp3-file-upload-input::after.bp3-active{
+            background:rgba(57, 75, 89, 0.7); }
+  .bp3-file-input.bp3-file-input-has-selection .bp3-file-upload-input{
+    color:#182026; }
+  .bp3-dark .bp3-file-input.bp3-file-input-has-selection .bp3-file-upload-input{
+    color:#f5f8fa; }
+  .bp3-file-input.bp3-fill{
+    width:100%; }
+  .bp3-file-input.bp3-large,
+  .bp3-large .bp3-file-input{
+    height:40px; }
+  .bp3-file-input .bp3-file-upload-input-custom-text::after{
+    content:attr(bp3-button-text); }
+
+.bp3-file-upload-input{
+  outline:none;
+  border:none;
+  border-radius:3px;
+  -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+          box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+  background:#ffffff;
+  height:30px;
+  padding:0 10px;
+  vertical-align:middle;
+  line-height:30px;
+  color:#182026;
+  font-size:14px;
+  font-weight:400;
+  -webkit-transition:-webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
+  transition:-webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
+  transition:box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
+  transition:box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
+  -webkit-appearance:none;
+     -moz-appearance:none;
+          appearance:none;
+  overflow:hidden;
+  text-overflow:ellipsis;
+  white-space:nowrap;
+  word-wrap:normal;
+  position:absolute;
+  top:0;
+  right:0;
+  left:0;
+  padding-right:80px;
+  color:rgba(92, 112, 128, 0.6);
+  -webkit-user-select:none;
+     -moz-user-select:none;
+      -ms-user-select:none;
+          user-select:none; }
+  .bp3-file-upload-input::-webkit-input-placeholder{
+    opacity:1;
+    color:rgba(92, 112, 128, 0.6); }
+  .bp3-file-upload-input::-moz-placeholder{
+    opacity:1;
+    color:rgba(92, 112, 128, 0.6); }
+  .bp3-file-upload-input:-ms-input-placeholder{
+    opacity:1;
+    color:rgba(92, 112, 128, 0.6); }
+  .bp3-file-upload-input::-ms-input-placeholder{
+    opacity:1;
+    color:rgba(92, 112, 128, 0.6); }
+  .bp3-file-upload-input::placeholder{
+    opacity:1;
+    color:rgba(92, 112, 128, 0.6); }
+  .bp3-file-upload-input:focus, .bp3-file-upload-input.bp3-active{
+    -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+            box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+  .bp3-file-upload-input[type="search"], .bp3-file-upload-input.bp3-round{
+    border-radius:30px;
+    -webkit-box-sizing:border-box;
+            box-sizing:border-box;
+    padding-left:10px; }
+  .bp3-file-upload-input[readonly]{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.15);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.15); }
+  .bp3-file-upload-input:disabled, .bp3-file-upload-input.bp3-disabled{
+    -webkit-box-shadow:none;
+            box-shadow:none;
+    background:rgba(206, 217, 224, 0.5);
+    cursor:not-allowed;
+    color:rgba(92, 112, 128, 0.6);
+    resize:none; }
+  .bp3-file-upload-input::after{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+    background-color:#f5f8fa;
+    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.8)), to(rgba(255, 255, 255, 0)));
+    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.8), rgba(255, 255, 255, 0));
+    color:#182026;
+    min-width:24px;
+    min-height:24px;
+    overflow:hidden;
+    text-overflow:ellipsis;
+    white-space:nowrap;
+    word-wrap:normal;
+    position:absolute;
+    top:0;
+    right:0;
+    margin:3px;
+    border-radius:3px;
+    width:70px;
+    text-align:center;
+    line-height:24px;
+    content:"Browse"; }
+    .bp3-file-upload-input::after:hover{
+      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+      background-clip:padding-box;
+      background-color:#ebf1f5; }
+    .bp3-file-upload-input::after:active, .bp3-file-upload-input::after.bp3-active{
+      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+      background-color:#d8e1e8;
+      background-image:none; }
+    .bp3-file-upload-input::after:disabled, .bp3-file-upload-input::after.bp3-disabled{
+      outline:none;
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background-color:rgba(206, 217, 224, 0.5);
+      background-image:none;
+      cursor:not-allowed;
+      color:rgba(92, 112, 128, 0.6); }
+      .bp3-file-upload-input::after:disabled.bp3-active, .bp3-file-upload-input::after:disabled.bp3-active:hover, .bp3-file-upload-input::after.bp3-disabled.bp3-active, .bp3-file-upload-input::after.bp3-disabled.bp3-active:hover{
+        background:rgba(206, 217, 224, 0.7); }
+  .bp3-file-upload-input:hover::after{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+    background-clip:padding-box;
+    background-color:#ebf1f5; }
+  .bp3-file-upload-input:active::after{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+    background-color:#d8e1e8;
+    background-image:none; }
+  .bp3-large .bp3-file-upload-input{
+    height:40px;
+    line-height:40px;
+    font-size:16px;
+    padding-right:95px; }
+    .bp3-large .bp3-file-upload-input[type="search"], .bp3-large .bp3-file-upload-input.bp3-round{
+      padding:0 15px; }
+    .bp3-large .bp3-file-upload-input::after{
+      min-width:30px;
+      min-height:30px;
+      margin:5px;
+      width:85px;
+      line-height:30px; }
+  .bp3-dark .bp3-file-upload-input{
+    -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+    background:rgba(16, 22, 26, 0.3);
+    color:#f5f8fa;
+    color:rgba(167, 182, 194, 0.6); }
+    .bp3-dark .bp3-file-upload-input::-webkit-input-placeholder{
+      color:rgba(167, 182, 194, 0.6); }
+    .bp3-dark .bp3-file-upload-input::-moz-placeholder{
+      color:rgba(167, 182, 194, 0.6); }
+    .bp3-dark .bp3-file-upload-input:-ms-input-placeholder{
+      color:rgba(167, 182, 194, 0.6); }
+    .bp3-dark .bp3-file-upload-input::-ms-input-placeholder{
+      color:rgba(167, 182, 194, 0.6); }
+    .bp3-dark .bp3-file-upload-input::placeholder{
+      color:rgba(167, 182, 194, 0.6); }
+    .bp3-dark .bp3-file-upload-input:focus{
+      -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+              box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
+    .bp3-dark .bp3-file-upload-input[readonly]{
+      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4); }
+    .bp3-dark .bp3-file-upload-input:disabled, .bp3-dark .bp3-file-upload-input.bp3-disabled{
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background:rgba(57, 75, 89, 0.5);
+      color:rgba(167, 182, 194, 0.6); }
+    .bp3-dark .bp3-file-upload-input::after{
+      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+      background-color:#394b59;
+      background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.05)), to(rgba(255, 255, 255, 0)));
+      background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.05), rgba(255, 255, 255, 0));
+      color:#f5f8fa; }
+      .bp3-dark .bp3-file-upload-input::after:hover, .bp3-dark .bp3-file-upload-input::after:active, .bp3-dark .bp3-file-upload-input::after.bp3-active{
+        color:#f5f8fa; }
+      .bp3-dark .bp3-file-upload-input::after:hover{
+        -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+                box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+        background-color:#30404d; }
+      .bp3-dark .bp3-file-upload-input::after:active, .bp3-dark .bp3-file-upload-input::after.bp3-active{
+        -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+                box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+        background-color:#202b33;
+        background-image:none; }
+      .bp3-dark .bp3-file-upload-input::after:disabled, .bp3-dark .bp3-file-upload-input::after.bp3-disabled{
+        -webkit-box-shadow:none;
+                box-shadow:none;
+        background-color:rgba(57, 75, 89, 0.5);
+        background-image:none;
+        color:rgba(167, 182, 194, 0.6); }
+        .bp3-dark .bp3-file-upload-input::after:disabled.bp3-active, .bp3-dark .bp3-file-upload-input::after.bp3-disabled.bp3-active{
+          background:rgba(57, 75, 89, 0.7); }
+      .bp3-dark .bp3-file-upload-input::after .bp3-button-spinner .bp3-spinner-head{
+        background:rgba(16, 22, 26, 0.5);
+        stroke:#8a9ba8; }
+    .bp3-dark .bp3-file-upload-input:hover::after{
+      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+      background-color:#30404d; }
+    .bp3-dark .bp3-file-upload-input:active::after{
+      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+      background-color:#202b33;
+      background-image:none; }
+
+.bp3-file-upload-input::after{
+  -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+          box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1); }
+.bp3-form-group{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -webkit-box-orient:vertical;
+  -webkit-box-direction:normal;
+      -ms-flex-direction:column;
+          flex-direction:column;
+  margin:0 0 15px; }
+  .bp3-form-group label.bp3-label{
+    margin-bottom:5px; }
+  .bp3-form-group .bp3-control{
+    margin-top:7px; }
+  .bp3-form-group .bp3-form-helper-text{
+    margin-top:5px;
+    color:#5c7080;
+    font-size:12px; }
+  .bp3-form-group.bp3-intent-primary .bp3-form-helper-text{
+    color:#106ba3; }
+  .bp3-form-group.bp3-intent-success .bp3-form-helper-text{
+    color:#0d8050; }
+  .bp3-form-group.bp3-intent-warning .bp3-form-helper-text{
+    color:#bf7326; }
+  .bp3-form-group.bp3-intent-danger .bp3-form-helper-text{
+    color:#c23030; }
+  .bp3-form-group.bp3-inline{
+    -webkit-box-orient:horizontal;
+    -webkit-box-direction:normal;
+        -ms-flex-direction:row;
+            flex-direction:row;
+    -webkit-box-align:start;
+        -ms-flex-align:start;
+            align-items:flex-start; }
+    .bp3-form-group.bp3-inline.bp3-large label.bp3-label{
+      margin:0 10px 0 0;
+      line-height:40px; }
+    .bp3-form-group.bp3-inline label.bp3-label{
+      margin:0 10px 0 0;
+      line-height:30px; }
+  .bp3-form-group.bp3-disabled .bp3-label,
+  .bp3-form-group.bp3-disabled .bp3-text-muted,
+  .bp3-form-group.bp3-disabled .bp3-form-helper-text{
+    color:rgba(92, 112, 128, 0.6) !important; }
+  .bp3-dark .bp3-form-group.bp3-intent-primary .bp3-form-helper-text{
+    color:#48aff0; }
+  .bp3-dark .bp3-form-group.bp3-intent-success .bp3-form-helper-text{
+    color:#3dcc91; }
+  .bp3-dark .bp3-form-group.bp3-intent-warning .bp3-form-helper-text{
+    color:#ffb366; }
+  .bp3-dark .bp3-form-group.bp3-intent-danger .bp3-form-helper-text{
+    color:#ff7373; }
+  .bp3-dark .bp3-form-group .bp3-form-helper-text{
+    color:#a7b6c2; }
+  .bp3-dark .bp3-form-group.bp3-disabled .bp3-label,
+  .bp3-dark .bp3-form-group.bp3-disabled .bp3-text-muted,
+  .bp3-dark .bp3-form-group.bp3-disabled .bp3-form-helper-text{
+    color:rgba(167, 182, 194, 0.6) !important; }
+.bp3-input-group{
+  display:block;
+  position:relative; }
+  .bp3-input-group .bp3-input{
+    position:relative;
+    width:100%; }
+    .bp3-input-group .bp3-input:not(:first-child){
+      padding-left:30px; }
+    .bp3-input-group .bp3-input:not(:last-child){
+      padding-right:30px; }
+  .bp3-input-group .bp3-input-action,
+  .bp3-input-group > .bp3-button,
+  .bp3-input-group > .bp3-icon{
+    position:absolute;
+    top:0; }
+    .bp3-input-group .bp3-input-action:first-child,
+    .bp3-input-group > .bp3-button:first-child,
+    .bp3-input-group > .bp3-icon:first-child{
+      left:0; }
+    .bp3-input-group .bp3-input-action:last-child,
+    .bp3-input-group > .bp3-button:last-child,
+    .bp3-input-group > .bp3-icon:last-child{
+      right:0; }
+  .bp3-input-group .bp3-button{
+    min-width:24px;
+    min-height:24px;
+    margin:3px;
+    padding:0 7px; }
+    .bp3-input-group .bp3-button:empty{
+      padding:0; }
+  .bp3-input-group > .bp3-icon{
+    z-index:1;
+    color:#5c7080; }
+    .bp3-input-group > .bp3-icon:empty{
+      line-height:1;
+      font-family:"Icons16", sans-serif;
+      font-size:16px;
+      font-weight:400;
+      font-style:normal;
+      -moz-osx-font-smoothing:grayscale;
+      -webkit-font-smoothing:antialiased; }
+  .bp3-input-group > .bp3-icon,
+  .bp3-input-group .bp3-input-action > .bp3-spinner{
+    margin:7px; }
+  .bp3-input-group .bp3-tag{
+    margin:5px; }
+  .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:not(:hover):not(:focus),
+  .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:not(:hover):not(:focus){
+    color:#5c7080; }
+    .bp3-dark .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:not(:hover):not(:focus), .bp3-dark
+    .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:not(:hover):not(:focus){
+      color:#a7b6c2; }
+    .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:not(:hover):not(:focus) .bp3-icon, .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:not(:hover):not(:focus) .bp3-icon-standard, .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:not(:hover):not(:focus) .bp3-icon-large,
+    .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:not(:hover):not(:focus) .bp3-icon,
+    .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:not(:hover):not(:focus) .bp3-icon-standard,
+    .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:not(:hover):not(:focus) .bp3-icon-large{
+      color:#5c7080; }
+  .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:disabled,
+  .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:disabled{
+    color:rgba(92, 112, 128, 0.6) !important; }
+    .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:disabled .bp3-icon, .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:disabled .bp3-icon-standard, .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:disabled .bp3-icon-large,
+    .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:disabled .bp3-icon,
+    .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:disabled .bp3-icon-standard,
+    .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:disabled .bp3-icon-large{
+      color:rgba(92, 112, 128, 0.6) !important; }
+  .bp3-input-group.bp3-disabled{
+    cursor:not-allowed; }
+    .bp3-input-group.bp3-disabled .bp3-icon{
+      color:rgba(92, 112, 128, 0.6); }
+  .bp3-input-group.bp3-large .bp3-button{
+    min-width:30px;
+    min-height:30px;
+    margin:5px; }
+  .bp3-input-group.bp3-large > .bp3-icon,
+  .bp3-input-group.bp3-large .bp3-input-action > .bp3-spinner{
+    margin:12px; }
+  .bp3-input-group.bp3-large .bp3-input{
+    height:40px;
+    line-height:40px;
+    font-size:16px; }
+    .bp3-input-group.bp3-large .bp3-input[type="search"], .bp3-input-group.bp3-large .bp3-input.bp3-round{
+      padding:0 15px; }
+    .bp3-input-group.bp3-large .bp3-input:not(:first-child){
+      padding-left:40px; }
+    .bp3-input-group.bp3-large .bp3-input:not(:last-child){
+      padding-right:40px; }
+  .bp3-input-group.bp3-small .bp3-button{
+    min-width:20px;
+    min-height:20px;
+    margin:2px; }
+  .bp3-input-group.bp3-small .bp3-tag{
+    min-width:20px;
+    min-height:20px;
+    margin:2px; }
+  .bp3-input-group.bp3-small > .bp3-icon,
+  .bp3-input-group.bp3-small .bp3-input-action > .bp3-spinner{
+    margin:4px; }
+  .bp3-input-group.bp3-small .bp3-input{
+    height:24px;
+    padding-right:8px;
+    padding-left:8px;
+    line-height:24px;
+    font-size:12px; }
+    .bp3-input-group.bp3-small .bp3-input[type="search"], .bp3-input-group.bp3-small .bp3-input.bp3-round{
+      padding:0 12px; }
+    .bp3-input-group.bp3-small .bp3-input:not(:first-child){
+      padding-left:24px; }
+    .bp3-input-group.bp3-small .bp3-input:not(:last-child){
+      padding-right:24px; }
+  .bp3-input-group.bp3-fill{
+    -webkit-box-flex:1;
+        -ms-flex:1 1 auto;
+            flex:1 1 auto;
+    width:100%; }
+  .bp3-input-group.bp3-round .bp3-button,
+  .bp3-input-group.bp3-round .bp3-input,
+  .bp3-input-group.bp3-round .bp3-tag{
+    border-radius:30px; }
+  .bp3-dark .bp3-input-group .bp3-icon{
+    color:#a7b6c2; }
+  .bp3-dark .bp3-input-group.bp3-disabled .bp3-icon{
+    color:rgba(167, 182, 194, 0.6); }
+  .bp3-input-group.bp3-intent-primary .bp3-input{
+    -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px #137cbd, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+            box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px #137cbd, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+    .bp3-input-group.bp3-intent-primary .bp3-input:focus{
+      -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+              box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+    .bp3-input-group.bp3-intent-primary .bp3-input[readonly]{
+      -webkit-box-shadow:inset 0 0 0 1px #137cbd;
+              box-shadow:inset 0 0 0 1px #137cbd; }
+    .bp3-input-group.bp3-intent-primary .bp3-input:disabled, .bp3-input-group.bp3-intent-primary .bp3-input.bp3-disabled{
+      -webkit-box-shadow:none;
+              box-shadow:none; }
+  .bp3-input-group.bp3-intent-primary > .bp3-icon{
+    color:#106ba3; }
+    .bp3-dark .bp3-input-group.bp3-intent-primary > .bp3-icon{
+      color:#48aff0; }
+  .bp3-input-group.bp3-intent-success .bp3-input{
+    -webkit-box-shadow:0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), inset 0 0 0 1px #0f9960, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+            box-shadow:0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), inset 0 0 0 1px #0f9960, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+    .bp3-input-group.bp3-intent-success .bp3-input:focus{
+      -webkit-box-shadow:0 0 0 1px #0f9960, 0 0 0 3px rgba(15, 153, 96, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+              box-shadow:0 0 0 1px #0f9960, 0 0 0 3px rgba(15, 153, 96, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+    .bp3-input-group.bp3-intent-success .bp3-input[readonly]{
+      -webkit-box-shadow:inset 0 0 0 1px #0f9960;
+              box-shadow:inset 0 0 0 1px #0f9960; }
+    .bp3-input-group.bp3-intent-success .bp3-input:disabled, .bp3-input-group.bp3-intent-success .bp3-input.bp3-disabled{
+      -webkit-box-shadow:none;
+              box-shadow:none; }
+  .bp3-input-group.bp3-intent-success > .bp3-icon{
+    color:#0d8050; }
+    .bp3-dark .bp3-input-group.bp3-intent-success > .bp3-icon{
+      color:#3dcc91; }
+  .bp3-input-group.bp3-intent-warning .bp3-input{
+    -webkit-box-shadow:0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), inset 0 0 0 1px #d9822b, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+            box-shadow:0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), inset 0 0 0 1px #d9822b, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+    .bp3-input-group.bp3-intent-warning .bp3-input:focus{
+      -webkit-box-shadow:0 0 0 1px #d9822b, 0 0 0 3px rgba(217, 130, 43, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+              box-shadow:0 0 0 1px #d9822b, 0 0 0 3px rgba(217, 130, 43, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+    .bp3-input-group.bp3-intent-warning .bp3-input[readonly]{
+      -webkit-box-shadow:inset 0 0 0 1px #d9822b;
+              box-shadow:inset 0 0 0 1px #d9822b; }
+    .bp3-input-group.bp3-intent-warning .bp3-input:disabled, .bp3-input-group.bp3-intent-warning .bp3-input.bp3-disabled{
+      -webkit-box-shadow:none;
+              box-shadow:none; }
+  .bp3-input-group.bp3-intent-warning > .bp3-icon{
+    color:#bf7326; }
+    .bp3-dark .bp3-input-group.bp3-intent-warning > .bp3-icon{
+      color:#ffb366; }
+  .bp3-input-group.bp3-intent-danger .bp3-input{
+    -webkit-box-shadow:0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), inset 0 0 0 1px #db3737, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+            box-shadow:0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), inset 0 0 0 1px #db3737, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+    .bp3-input-group.bp3-intent-danger .bp3-input:focus{
+      -webkit-box-shadow:0 0 0 1px #db3737, 0 0 0 3px rgba(219, 55, 55, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+              box-shadow:0 0 0 1px #db3737, 0 0 0 3px rgba(219, 55, 55, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+    .bp3-input-group.bp3-intent-danger .bp3-input[readonly]{
+      -webkit-box-shadow:inset 0 0 0 1px #db3737;
+              box-shadow:inset 0 0 0 1px #db3737; }
+    .bp3-input-group.bp3-intent-danger .bp3-input:disabled, .bp3-input-group.bp3-intent-danger .bp3-input.bp3-disabled{
+      -webkit-box-shadow:none;
+              box-shadow:none; }
+  .bp3-input-group.bp3-intent-danger > .bp3-icon{
+    color:#c23030; }
+    .bp3-dark .bp3-input-group.bp3-intent-danger > .bp3-icon{
+      color:#ff7373; }
+.bp3-input{
+  outline:none;
+  border:none;
+  border-radius:3px;
+  -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+          box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+  background:#ffffff;
+  height:30px;
+  padding:0 10px;
+  vertical-align:middle;
+  line-height:30px;
+  color:#182026;
+  font-size:14px;
+  font-weight:400;
+  -webkit-transition:-webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
+  transition:-webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
+  transition:box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
+  transition:box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
+  -webkit-appearance:none;
+     -moz-appearance:none;
+          appearance:none; }
+  .bp3-input::-webkit-input-placeholder{
+    opacity:1;
+    color:rgba(92, 112, 128, 0.6); }
+  .bp3-input::-moz-placeholder{
+    opacity:1;
+    color:rgba(92, 112, 128, 0.6); }
+  .bp3-input:-ms-input-placeholder{
+    opacity:1;
+    color:rgba(92, 112, 128, 0.6); }
+  .bp3-input::-ms-input-placeholder{
+    opacity:1;
+    color:rgba(92, 112, 128, 0.6); }
+  .bp3-input::placeholder{
+    opacity:1;
+    color:rgba(92, 112, 128, 0.6); }
+  .bp3-input:focus, .bp3-input.bp3-active{
+    -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+            box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+  .bp3-input[type="search"], .bp3-input.bp3-round{
+    border-radius:30px;
+    -webkit-box-sizing:border-box;
+            box-sizing:border-box;
+    padding-left:10px; }
+  .bp3-input[readonly]{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.15);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.15); }
+  .bp3-input:disabled, .bp3-input.bp3-disabled{
+    -webkit-box-shadow:none;
+            box-shadow:none;
+    background:rgba(206, 217, 224, 0.5);
+    cursor:not-allowed;
+    color:rgba(92, 112, 128, 0.6);
+    resize:none; }
+  .bp3-input.bp3-large{
+    height:40px;
+    line-height:40px;
+    font-size:16px; }
+    .bp3-input.bp3-large[type="search"], .bp3-input.bp3-large.bp3-round{
+      padding:0 15px; }
+  .bp3-input.bp3-small{
+    height:24px;
+    padding-right:8px;
+    padding-left:8px;
+    line-height:24px;
+    font-size:12px; }
+    .bp3-input.bp3-small[type="search"], .bp3-input.bp3-small.bp3-round{
+      padding:0 12px; }
+  .bp3-input.bp3-fill{
+    -webkit-box-flex:1;
+        -ms-flex:1 1 auto;
+            flex:1 1 auto;
+    width:100%; }
+  .bp3-dark .bp3-input{
+    -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+    background:rgba(16, 22, 26, 0.3);
+    color:#f5f8fa; }
+    .bp3-dark .bp3-input::-webkit-input-placeholder{
+      color:rgba(167, 182, 194, 0.6); }
+    .bp3-dark .bp3-input::-moz-placeholder{
+      color:rgba(167, 182, 194, 0.6); }
+    .bp3-dark .bp3-input:-ms-input-placeholder{
+      color:rgba(167, 182, 194, 0.6); }
+    .bp3-dark .bp3-input::-ms-input-placeholder{
+      color:rgba(167, 182, 194, 0.6); }
+    .bp3-dark .bp3-input::placeholder{
+      color:rgba(167, 182, 194, 0.6); }
+    .bp3-dark .bp3-input:focus{
+      -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+              box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
+    .bp3-dark .bp3-input[readonly]{
+      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4); }
+    .bp3-dark .bp3-input:disabled, .bp3-dark .bp3-input.bp3-disabled{
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background:rgba(57, 75, 89, 0.5);
+      color:rgba(167, 182, 194, 0.6); }
+  .bp3-input.bp3-intent-primary{
+    -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px #137cbd, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+            box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px #137cbd, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+    .bp3-input.bp3-intent-primary:focus{
+      -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+              box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+    .bp3-input.bp3-intent-primary[readonly]{
+      -webkit-box-shadow:inset 0 0 0 1px #137cbd;
+              box-shadow:inset 0 0 0 1px #137cbd; }
+    .bp3-input.bp3-intent-primary:disabled, .bp3-input.bp3-intent-primary.bp3-disabled{
+      -webkit-box-shadow:none;
+              box-shadow:none; }
+    .bp3-dark .bp3-input.bp3-intent-primary{
+      -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px #137cbd, inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+              box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px #137cbd, inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
+      .bp3-dark .bp3-input.bp3-intent-primary:focus{
+        -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+                box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
+      .bp3-dark .bp3-input.bp3-intent-primary[readonly]{
+        -webkit-box-shadow:inset 0 0 0 1px #137cbd;
+                box-shadow:inset 0 0 0 1px #137cbd; }
+      .bp3-dark .bp3-input.bp3-intent-primary:disabled, .bp3-dark .bp3-input.bp3-intent-primary.bp3-disabled{
+        -webkit-box-shadow:none;
+                box-shadow:none; }
+  .bp3-input.bp3-intent-success{
+    -webkit-box-shadow:0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), inset 0 0 0 1px #0f9960, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+            box-shadow:0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), inset 0 0 0 1px #0f9960, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+    .bp3-input.bp3-intent-success:focus{
+      -webkit-box-shadow:0 0 0 1px #0f9960, 0 0 0 3px rgba(15, 153, 96, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+              box-shadow:0 0 0 1px #0f9960, 0 0 0 3px rgba(15, 153, 96, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+    .bp3-input.bp3-intent-success[readonly]{
+      -webkit-box-shadow:inset 0 0 0 1px #0f9960;
+              box-shadow:inset 0 0 0 1px #0f9960; }
+    .bp3-input.bp3-intent-success:disabled, .bp3-input.bp3-intent-success.bp3-disabled{
+      -webkit-box-shadow:none;
+              box-shadow:none; }
+    .bp3-dark .bp3-input.bp3-intent-success{
+      -webkit-box-shadow:0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), inset 0 0 0 1px #0f9960, inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+              box-shadow:0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), inset 0 0 0 1px #0f9960, inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
+      .bp3-dark .bp3-input.bp3-intent-success:focus{
+        -webkit-box-shadow:0 0 0 1px #0f9960, 0 0 0 1px #0f9960, 0 0 0 3px rgba(15, 153, 96, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+                box-shadow:0 0 0 1px #0f9960, 0 0 0 1px #0f9960, 0 0 0 3px rgba(15, 153, 96, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
+      .bp3-dark .bp3-input.bp3-intent-success[readonly]{
+        -webkit-box-shadow:inset 0 0 0 1px #0f9960;
+                box-shadow:inset 0 0 0 1px #0f9960; }
+      .bp3-dark .bp3-input.bp3-intent-success:disabled, .bp3-dark .bp3-input.bp3-intent-success.bp3-disabled{
+        -webkit-box-shadow:none;
+                box-shadow:none; }
+  .bp3-input.bp3-intent-warning{
+    -webkit-box-shadow:0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), inset 0 0 0 1px #d9822b, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+            box-shadow:0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), inset 0 0 0 1px #d9822b, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+    .bp3-input.bp3-intent-warning:focus{
+      -webkit-box-shadow:0 0 0 1px #d9822b, 0 0 0 3px rgba(217, 130, 43, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+              box-shadow:0 0 0 1px #d9822b, 0 0 0 3px rgba(217, 130, 43, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+    .bp3-input.bp3-intent-warning[readonly]{
+      -webkit-box-shadow:inset 0 0 0 1px #d9822b;
+              box-shadow:inset 0 0 0 1px #d9822b; }
+    .bp3-input.bp3-intent-warning:disabled, .bp3-input.bp3-intent-warning.bp3-disabled{
+      -webkit-box-shadow:none;
+              box-shadow:none; }
+    .bp3-dark .bp3-input.bp3-intent-warning{
+      -webkit-box-shadow:0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), inset 0 0 0 1px #d9822b, inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+              box-shadow:0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), inset 0 0 0 1px #d9822b, inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
+      .bp3-dark .bp3-input.bp3-intent-warning:focus{
+        -webkit-box-shadow:0 0 0 1px #d9822b, 0 0 0 1px #d9822b, 0 0 0 3px rgba(217, 130, 43, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+                box-shadow:0 0 0 1px #d9822b, 0 0 0 1px #d9822b, 0 0 0 3px rgba(217, 130, 43, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
+      .bp3-dark .bp3-input.bp3-intent-warning[readonly]{
+        -webkit-box-shadow:inset 0 0 0 1px #d9822b;
+                box-shadow:inset 0 0 0 1px #d9822b; }
+      .bp3-dark .bp3-input.bp3-intent-warning:disabled, .bp3-dark .bp3-input.bp3-intent-warning.bp3-disabled{
+        -webkit-box-shadow:none;
+                box-shadow:none; }
+  .bp3-input.bp3-intent-danger{
+    -webkit-box-shadow:0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), inset 0 0 0 1px #db3737, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+            box-shadow:0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), inset 0 0 0 1px #db3737, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+    .bp3-input.bp3-intent-danger:focus{
+      -webkit-box-shadow:0 0 0 1px #db3737, 0 0 0 3px rgba(219, 55, 55, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+              box-shadow:0 0 0 1px #db3737, 0 0 0 3px rgba(219, 55, 55, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+    .bp3-input.bp3-intent-danger[readonly]{
+      -webkit-box-shadow:inset 0 0 0 1px #db3737;
+              box-shadow:inset 0 0 0 1px #db3737; }
+    .bp3-input.bp3-intent-danger:disabled, .bp3-input.bp3-intent-danger.bp3-disabled{
+      -webkit-box-shadow:none;
+              box-shadow:none; }
+    .bp3-dark .bp3-input.bp3-intent-danger{
+      -webkit-box-shadow:0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), inset 0 0 0 1px #db3737, inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+              box-shadow:0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), inset 0 0 0 1px #db3737, inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
+      .bp3-dark .bp3-input.bp3-intent-danger:focus{
+        -webkit-box-shadow:0 0 0 1px #db3737, 0 0 0 1px #db3737, 0 0 0 3px rgba(219, 55, 55, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+                box-shadow:0 0 0 1px #db3737, 0 0 0 1px #db3737, 0 0 0 3px rgba(219, 55, 55, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
+      .bp3-dark .bp3-input.bp3-intent-danger[readonly]{
+        -webkit-box-shadow:inset 0 0 0 1px #db3737;
+                box-shadow:inset 0 0 0 1px #db3737; }
+      .bp3-dark .bp3-input.bp3-intent-danger:disabled, .bp3-dark .bp3-input.bp3-intent-danger.bp3-disabled{
+        -webkit-box-shadow:none;
+                box-shadow:none; }
+  .bp3-input::-ms-clear{
+    display:none; }
+textarea.bp3-input{
+  max-width:100%;
+  padding:10px; }
+  textarea.bp3-input, textarea.bp3-input.bp3-large, textarea.bp3-input.bp3-small{
+    height:auto;
+    line-height:inherit; }
+  textarea.bp3-input.bp3-small{
+    padding:8px; }
+  .bp3-dark textarea.bp3-input{
+    -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+    background:rgba(16, 22, 26, 0.3);
+    color:#f5f8fa; }
+    .bp3-dark textarea.bp3-input::-webkit-input-placeholder{
+      color:rgba(167, 182, 194, 0.6); }
+    .bp3-dark textarea.bp3-input::-moz-placeholder{
+      color:rgba(167, 182, 194, 0.6); }
+    .bp3-dark textarea.bp3-input:-ms-input-placeholder{
+      color:rgba(167, 182, 194, 0.6); }
+    .bp3-dark textarea.bp3-input::-ms-input-placeholder{
+      color:rgba(167, 182, 194, 0.6); }
+    .bp3-dark textarea.bp3-input::placeholder{
+      color:rgba(167, 182, 194, 0.6); }
+    .bp3-dark textarea.bp3-input:focus{
+      -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+              box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
+    .bp3-dark textarea.bp3-input[readonly]{
+      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);
+              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4); }
+    .bp3-dark textarea.bp3-input:disabled, .bp3-dark textarea.bp3-input.bp3-disabled{
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background:rgba(57, 75, 89, 0.5);
+      color:rgba(167, 182, 194, 0.6); }
+label.bp3-label{
+  display:block;
+  margin-top:0;
+  margin-bottom:15px; }
+  label.bp3-label .bp3-html-select,
+  label.bp3-label .bp3-input,
+  label.bp3-label .bp3-select,
+  label.bp3-label .bp3-slider,
+  label.bp3-label .bp3-popover-wrapper{
+    display:block;
+    margin-top:5px;
+    text-transform:none; }
+  label.bp3-label .bp3-button-group{
+    margin-top:5px; }
+  label.bp3-label .bp3-select select,
+  label.bp3-label .bp3-html-select select{
+    width:100%;
+    vertical-align:top;
+    font-weight:400; }
+  label.bp3-label.bp3-disabled,
+  label.bp3-label.bp3-disabled .bp3-text-muted{
+    color:rgba(92, 112, 128, 0.6); }
+  label.bp3-label.bp3-inline{
+    line-height:30px; }
+    label.bp3-label.bp3-inline .bp3-html-select,
+    label.bp3-label.bp3-inline .bp3-input,
+    label.bp3-label.bp3-inline .bp3-input-group,
+    label.bp3-label.bp3-inline .bp3-select,
+    label.bp3-label.bp3-inline .bp3-popover-wrapper{
+      display:inline-block;
+      margin:0 0 0 5px;
+      vertical-align:top; }
+    label.bp3-label.bp3-inline .bp3-button-group{
+      margin:0 0 0 5px; }
+    label.bp3-label.bp3-inline .bp3-input-group .bp3-input{
+      margin-left:0; }
+    label.bp3-label.bp3-inline.bp3-large{
+      line-height:40px; }
+  label.bp3-label:not(.bp3-inline) .bp3-popover-target{
+    display:block; }
+  .bp3-dark label.bp3-label{
+    color:#f5f8fa; }
+    .bp3-dark label.bp3-label.bp3-disabled,
+    .bp3-dark label.bp3-label.bp3-disabled .bp3-text-muted{
+      color:rgba(167, 182, 194, 0.6); }
+.bp3-numeric-input .bp3-button-group.bp3-vertical > .bp3-button{
+  -webkit-box-flex:1;
+      -ms-flex:1 1 14px;
+          flex:1 1 14px;
+  width:30px;
+  min-height:0;
+  padding:0; }
+  .bp3-numeric-input .bp3-button-group.bp3-vertical > .bp3-button:first-child{
+    border-radius:0 3px 0 0; }
+  .bp3-numeric-input .bp3-button-group.bp3-vertical > .bp3-button:last-child{
+    border-radius:0 0 3px 0; }
+
+.bp3-numeric-input .bp3-button-group.bp3-vertical:first-child > .bp3-button:first-child{
+  border-radius:3px 0 0 0; }
+
+.bp3-numeric-input .bp3-button-group.bp3-vertical:first-child > .bp3-button:last-child{
+  border-radius:0 0 0 3px; }
+
+.bp3-numeric-input.bp3-large .bp3-button-group.bp3-vertical > .bp3-button{
+  width:40px; }
+
+form{
+  display:block; }
+.bp3-html-select select,
+.bp3-select select{
+  display:-webkit-inline-box;
+  display:-ms-inline-flexbox;
+  display:inline-flex;
+  -webkit-box-orient:horizontal;
+  -webkit-box-direction:normal;
+      -ms-flex-direction:row;
+          flex-direction:row;
+  -webkit-box-align:center;
+      -ms-flex-align:center;
+          align-items:center;
+  -webkit-box-pack:center;
+      -ms-flex-pack:center;
+          justify-content:center;
+  border:none;
+  border-radius:3px;
+  cursor:pointer;
+  padding:5px 10px;
+  vertical-align:middle;
+  text-align:left;
+  font-size:14px;
+  -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+          box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+  background-color:#f5f8fa;
+  background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.8)), to(rgba(255, 255, 255, 0)));
+  background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.8), rgba(255, 255, 255, 0));
+  color:#182026;
+  border-radius:3px;
+  width:100%;
+  height:30px;
+  padding:0 25px 0 10px;
+  -moz-appearance:none;
+  -webkit-appearance:none; }
+  .bp3-html-select select > *, .bp3-select select > *{
+    -webkit-box-flex:0;
+        -ms-flex-positive:0;
+            flex-grow:0;
+    -ms-flex-negative:0;
+        flex-shrink:0; }
+  .bp3-html-select select > .bp3-fill, .bp3-select select > .bp3-fill{
+    -webkit-box-flex:1;
+        -ms-flex-positive:1;
+            flex-grow:1;
+    -ms-flex-negative:1;
+        flex-shrink:1; }
+  .bp3-html-select select::before,
+  .bp3-select select::before, .bp3-html-select select > *, .bp3-select select > *{
+    margin-right:7px; }
+  .bp3-html-select select:empty::before,
+  .bp3-select select:empty::before,
+  .bp3-html-select select > :last-child,
+  .bp3-select select > :last-child{
+    margin-right:0; }
+  .bp3-html-select select:hover,
+  .bp3-select select:hover{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+    background-clip:padding-box;
+    background-color:#ebf1f5; }
+  .bp3-html-select select:active,
+  .bp3-select select:active, .bp3-html-select select.bp3-active,
+  .bp3-select select.bp3-active{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+    background-color:#d8e1e8;
+    background-image:none; }
+  .bp3-html-select select:disabled,
+  .bp3-select select:disabled, .bp3-html-select select.bp3-disabled,
+  .bp3-select select.bp3-disabled{
+    outline:none;
+    -webkit-box-shadow:none;
+            box-shadow:none;
+    background-color:rgba(206, 217, 224, 0.5);
+    background-image:none;
+    cursor:not-allowed;
+    color:rgba(92, 112, 128, 0.6); }
+    .bp3-html-select select:disabled.bp3-active,
+    .bp3-select select:disabled.bp3-active, .bp3-html-select select:disabled.bp3-active:hover,
+    .bp3-select select:disabled.bp3-active:hover, .bp3-html-select select.bp3-disabled.bp3-active,
+    .bp3-select select.bp3-disabled.bp3-active, .bp3-html-select select.bp3-disabled.bp3-active:hover,
+    .bp3-select select.bp3-disabled.bp3-active:hover{
+      background:rgba(206, 217, 224, 0.7); }
+
+.bp3-html-select.bp3-minimal select,
+.bp3-select.bp3-minimal select{
+  -webkit-box-shadow:none;
+          box-shadow:none;
+  background:none; }
+  .bp3-html-select.bp3-minimal select:hover,
+  .bp3-select.bp3-minimal select:hover{
+    -webkit-box-shadow:none;
+            box-shadow:none;
+    background:rgba(167, 182, 194, 0.3);
+    text-decoration:none;
+    color:#182026; }
+  .bp3-html-select.bp3-minimal select:active,
+  .bp3-select.bp3-minimal select:active, .bp3-html-select.bp3-minimal select.bp3-active,
+  .bp3-select.bp3-minimal select.bp3-active{
+    -webkit-box-shadow:none;
+            box-shadow:none;
+    background:rgba(115, 134, 148, 0.3);
+    color:#182026; }
+  .bp3-html-select.bp3-minimal select:disabled,
+  .bp3-select.bp3-minimal select:disabled, .bp3-html-select.bp3-minimal select:disabled:hover,
+  .bp3-select.bp3-minimal select:disabled:hover, .bp3-html-select.bp3-minimal select.bp3-disabled,
+  .bp3-select.bp3-minimal select.bp3-disabled, .bp3-html-select.bp3-minimal select.bp3-disabled:hover,
+  .bp3-select.bp3-minimal select.bp3-disabled:hover{
+    background:none;
+    cursor:not-allowed;
+    color:rgba(92, 112, 128, 0.6); }
+    .bp3-html-select.bp3-minimal select:disabled.bp3-active,
+    .bp3-select.bp3-minimal select:disabled.bp3-active, .bp3-html-select.bp3-minimal select:disabled:hover.bp3-active,
+    .bp3-select.bp3-minimal select:disabled:hover.bp3-active, .bp3-html-select.bp3-minimal select.bp3-disabled.bp3-active,
+    .bp3-select.bp3-minimal select.bp3-disabled.bp3-active, .bp3-html-select.bp3-minimal select.bp3-disabled:hover.bp3-active,
+    .bp3-select.bp3-minimal select.bp3-disabled:hover.bp3-active{
+      background:rgba(115, 134, 148, 0.3); }
+  .bp3-dark .bp3-html-select.bp3-minimal select, .bp3-html-select.bp3-minimal .bp3-dark select,
+  .bp3-dark .bp3-select.bp3-minimal select, .bp3-select.bp3-minimal .bp3-dark select{
+    -webkit-box-shadow:none;
+            box-shadow:none;
+    background:none;
+    color:inherit; }
+    .bp3-dark .bp3-html-select.bp3-minimal select:hover, .bp3-html-select.bp3-minimal .bp3-dark select:hover,
+    .bp3-dark .bp3-select.bp3-minimal select:hover, .bp3-select.bp3-minimal .bp3-dark select:hover, .bp3-dark .bp3-html-select.bp3-minimal select:active, .bp3-html-select.bp3-minimal .bp3-dark select:active,
+    .bp3-dark .bp3-select.bp3-minimal select:active, .bp3-select.bp3-minimal .bp3-dark select:active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-active,
+    .bp3-dark .bp3-select.bp3-minimal select.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-active{
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background:none; }
+    .bp3-dark .bp3-html-select.bp3-minimal select:hover, .bp3-html-select.bp3-minimal .bp3-dark select:hover,
+    .bp3-dark .bp3-select.bp3-minimal select:hover, .bp3-select.bp3-minimal .bp3-dark select:hover{
+      background:rgba(138, 155, 168, 0.15); }
+    .bp3-dark .bp3-html-select.bp3-minimal select:active, .bp3-html-select.bp3-minimal .bp3-dark select:active,
+    .bp3-dark .bp3-select.bp3-minimal select:active, .bp3-select.bp3-minimal .bp3-dark select:active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-active,
+    .bp3-dark .bp3-select.bp3-minimal select.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-active{
+      background:rgba(138, 155, 168, 0.3);
+      color:#f5f8fa; }
+    .bp3-dark .bp3-html-select.bp3-minimal select:disabled, .bp3-html-select.bp3-minimal .bp3-dark select:disabled,
+    .bp3-dark .bp3-select.bp3-minimal select:disabled, .bp3-select.bp3-minimal .bp3-dark select:disabled, .bp3-dark .bp3-html-select.bp3-minimal select:disabled:hover, .bp3-html-select.bp3-minimal .bp3-dark select:disabled:hover,
+    .bp3-dark .bp3-select.bp3-minimal select:disabled:hover, .bp3-select.bp3-minimal .bp3-dark select:disabled:hover, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-disabled,
+    .bp3-dark .bp3-select.bp3-minimal select.bp3-disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-disabled, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-disabled:hover, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-disabled:hover,
+    .bp3-dark .bp3-select.bp3-minimal select.bp3-disabled:hover, .bp3-select.bp3-minimal .bp3-dark select.bp3-disabled:hover{
+      background:none;
+      cursor:not-allowed;
+      color:rgba(167, 182, 194, 0.6); }
+      .bp3-dark .bp3-html-select.bp3-minimal select:disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select:disabled.bp3-active,
+      .bp3-dark .bp3-select.bp3-minimal select:disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select:disabled.bp3-active, .bp3-dark .bp3-html-select.bp3-minimal select:disabled:hover.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select:disabled:hover.bp3-active,
+      .bp3-dark .bp3-select.bp3-minimal select:disabled:hover.bp3-active, .bp3-select.bp3-minimal .bp3-dark select:disabled:hover.bp3-active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-disabled.bp3-active,
+      .bp3-dark .bp3-select.bp3-minimal select.bp3-disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-disabled.bp3-active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-disabled:hover.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-disabled:hover.bp3-active,
+      .bp3-dark .bp3-select.bp3-minimal select.bp3-disabled:hover.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-disabled:hover.bp3-active{
+        background:rgba(138, 155, 168, 0.3); }
+  .bp3-html-select.bp3-minimal select.bp3-intent-primary,
+  .bp3-select.bp3-minimal select.bp3-intent-primary{
+    color:#106ba3; }
+    .bp3-html-select.bp3-minimal select.bp3-intent-primary:hover,
+    .bp3-select.bp3-minimal select.bp3-intent-primary:hover, .bp3-html-select.bp3-minimal select.bp3-intent-primary:active,
+    .bp3-select.bp3-minimal select.bp3-intent-primary:active, .bp3-html-select.bp3-minimal select.bp3-intent-primary.bp3-active,
+    .bp3-select.bp3-minimal select.bp3-intent-primary.bp3-active{
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background:none;
+      color:#106ba3; }
+    .bp3-html-select.bp3-minimal select.bp3-intent-primary:hover,
+    .bp3-select.bp3-minimal select.bp3-intent-primary:hover{
+      background:rgba(19, 124, 189, 0.15);
+      color:#106ba3; }
+    .bp3-html-select.bp3-minimal select.bp3-intent-primary:active,
+    .bp3-select.bp3-minimal select.bp3-intent-primary:active, .bp3-html-select.bp3-minimal select.bp3-intent-primary.bp3-active,
+    .bp3-select.bp3-minimal select.bp3-intent-primary.bp3-active{
+      background:rgba(19, 124, 189, 0.3);
+      color:#106ba3; }
+    .bp3-html-select.bp3-minimal select.bp3-intent-primary:disabled,
+    .bp3-select.bp3-minimal select.bp3-intent-primary:disabled, .bp3-html-select.bp3-minimal select.bp3-intent-primary.bp3-disabled,
+    .bp3-select.bp3-minimal select.bp3-intent-primary.bp3-disabled{
+      background:none;
+      color:rgba(16, 107, 163, 0.5); }
+      .bp3-html-select.bp3-minimal select.bp3-intent-primary:disabled.bp3-active,
+      .bp3-select.bp3-minimal select.bp3-intent-primary:disabled.bp3-active, .bp3-html-select.bp3-minimal select.bp3-intent-primary.bp3-disabled.bp3-active,
+      .bp3-select.bp3-minimal select.bp3-intent-primary.bp3-disabled.bp3-active{
+        background:rgba(19, 124, 189, 0.3); }
+    .bp3-html-select.bp3-minimal select.bp3-intent-primary .bp3-button-spinner .bp3-spinner-head, .bp3-select.bp3-minimal select.bp3-intent-primary .bp3-button-spinner .bp3-spinner-head{
+      stroke:#106ba3; }
+    .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-primary, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-primary,
+    .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-primary, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-primary{
+      color:#48aff0; }
+      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-primary:hover, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-primary:hover,
+      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-primary:hover, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-primary:hover{
+        background:rgba(19, 124, 189, 0.2);
+        color:#48aff0; }
+      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-primary:active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-primary:active,
+      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-primary:active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-primary:active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-primary.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-primary.bp3-active,
+      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-primary.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-primary.bp3-active{
+        background:rgba(19, 124, 189, 0.3);
+        color:#48aff0; }
+      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-primary:disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-primary:disabled,
+      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-primary:disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-primary:disabled, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-primary.bp3-disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-primary.bp3-disabled,
+      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-primary.bp3-disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-primary.bp3-disabled{
+        background:none;
+        color:rgba(72, 175, 240, 0.5); }
+        .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-primary:disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-primary:disabled.bp3-active,
+        .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-primary:disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-primary:disabled.bp3-active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-primary.bp3-disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-primary.bp3-disabled.bp3-active,
+        .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-primary.bp3-disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-primary.bp3-disabled.bp3-active{
+          background:rgba(19, 124, 189, 0.3); }
+  .bp3-html-select.bp3-minimal select.bp3-intent-success,
+  .bp3-select.bp3-minimal select.bp3-intent-success{
+    color:#0d8050; }
+    .bp3-html-select.bp3-minimal select.bp3-intent-success:hover,
+    .bp3-select.bp3-minimal select.bp3-intent-success:hover, .bp3-html-select.bp3-minimal select.bp3-intent-success:active,
+    .bp3-select.bp3-minimal select.bp3-intent-success:active, .bp3-html-select.bp3-minimal select.bp3-intent-success.bp3-active,
+    .bp3-select.bp3-minimal select.bp3-intent-success.bp3-active{
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background:none;
+      color:#0d8050; }
+    .bp3-html-select.bp3-minimal select.bp3-intent-success:hover,
+    .bp3-select.bp3-minimal select.bp3-intent-success:hover{
+      background:rgba(15, 153, 96, 0.15);
+      color:#0d8050; }
+    .bp3-html-select.bp3-minimal select.bp3-intent-success:active,
+    .bp3-select.bp3-minimal select.bp3-intent-success:active, .bp3-html-select.bp3-minimal select.bp3-intent-success.bp3-active,
+    .bp3-select.bp3-minimal select.bp3-intent-success.bp3-active{
+      background:rgba(15, 153, 96, 0.3);
+      color:#0d8050; }
+    .bp3-html-select.bp3-minimal select.bp3-intent-success:disabled,
+    .bp3-select.bp3-minimal select.bp3-intent-success:disabled, .bp3-html-select.bp3-minimal select.bp3-intent-success.bp3-disabled,
+    .bp3-select.bp3-minimal select.bp3-intent-success.bp3-disabled{
+      background:none;
+      color:rgba(13, 128, 80, 0.5); }
+      .bp3-html-select.bp3-minimal select.bp3-intent-success:disabled.bp3-active,
+      .bp3-select.bp3-minimal select.bp3-intent-success:disabled.bp3-active, .bp3-html-select.bp3-minimal select.bp3-intent-success.bp3-disabled.bp3-active,
+      .bp3-select.bp3-minimal select.bp3-intent-success.bp3-disabled.bp3-active{
+        background:rgba(15, 153, 96, 0.3); }
+    .bp3-html-select.bp3-minimal select.bp3-intent-success .bp3-button-spinner .bp3-spinner-head, .bp3-select.bp3-minimal select.bp3-intent-success .bp3-button-spinner .bp3-spinner-head{
+      stroke:#0d8050; }
+    .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-success, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-success,
+    .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-success, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-success{
+      color:#3dcc91; }
+      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-success:hover, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-success:hover,
+      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-success:hover, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-success:hover{
+        background:rgba(15, 153, 96, 0.2);
+        color:#3dcc91; }
+      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-success:active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-success:active,
+      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-success:active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-success:active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-success.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-success.bp3-active,
+      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-success.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-success.bp3-active{
+        background:rgba(15, 153, 96, 0.3);
+        color:#3dcc91; }
+      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-success:disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-success:disabled,
+      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-success:disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-success:disabled, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-success.bp3-disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-success.bp3-disabled,
+      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-success.bp3-disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-success.bp3-disabled{
+        background:none;
+        color:rgba(61, 204, 145, 0.5); }
+        .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-success:disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-success:disabled.bp3-active,
+        .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-success:disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-success:disabled.bp3-active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-success.bp3-disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-success.bp3-disabled.bp3-active,
+        .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-success.bp3-disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-success.bp3-disabled.bp3-active{
+          background:rgba(15, 153, 96, 0.3); }
+  .bp3-html-select.bp3-minimal select.bp3-intent-warning,
+  .bp3-select.bp3-minimal select.bp3-intent-warning{
+    color:#bf7326; }
+    .bp3-html-select.bp3-minimal select.bp3-intent-warning:hover,
+    .bp3-select.bp3-minimal select.bp3-intent-warning:hover, .bp3-html-select.bp3-minimal select.bp3-intent-warning:active,
+    .bp3-select.bp3-minimal select.bp3-intent-warning:active, .bp3-html-select.bp3-minimal select.bp3-intent-warning.bp3-active,
+    .bp3-select.bp3-minimal select.bp3-intent-warning.bp3-active{
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background:none;
+      color:#bf7326; }
+    .bp3-html-select.bp3-minimal select.bp3-intent-warning:hover,
+    .bp3-select.bp3-minimal select.bp3-intent-warning:hover{
+      background:rgba(217, 130, 43, 0.15);
+      color:#bf7326; }
+    .bp3-html-select.bp3-minimal select.bp3-intent-warning:active,
+    .bp3-select.bp3-minimal select.bp3-intent-warning:active, .bp3-html-select.bp3-minimal select.bp3-intent-warning.bp3-active,
+    .bp3-select.bp3-minimal select.bp3-intent-warning.bp3-active{
+      background:rgba(217, 130, 43, 0.3);
+      color:#bf7326; }
+    .bp3-html-select.bp3-minimal select.bp3-intent-warning:disabled,
+    .bp3-select.bp3-minimal select.bp3-intent-warning:disabled, .bp3-html-select.bp3-minimal select.bp3-intent-warning.bp3-disabled,
+    .bp3-select.bp3-minimal select.bp3-intent-warning.bp3-disabled{
+      background:none;
+      color:rgba(191, 115, 38, 0.5); }
+      .bp3-html-select.bp3-minimal select.bp3-intent-warning:disabled.bp3-active,
+      .bp3-select.bp3-minimal select.bp3-intent-warning:disabled.bp3-active, .bp3-html-select.bp3-minimal select.bp3-intent-warning.bp3-disabled.bp3-active,
+      .bp3-select.bp3-minimal select.bp3-intent-warning.bp3-disabled.bp3-active{
+        background:rgba(217, 130, 43, 0.3); }
+    .bp3-html-select.bp3-minimal select.bp3-intent-warning .bp3-button-spinner .bp3-spinner-head, .bp3-select.bp3-minimal select.bp3-intent-warning .bp3-button-spinner .bp3-spinner-head{
+      stroke:#bf7326; }
+    .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-warning, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-warning,
+    .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-warning, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-warning{
+      color:#ffb366; }
+      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-warning:hover, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-warning:hover,
+      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-warning:hover, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-warning:hover{
+        background:rgba(217, 130, 43, 0.2);
+        color:#ffb366; }
+      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-warning:active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-warning:active,
+      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-warning:active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-warning:active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-warning.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-warning.bp3-active,
+      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-warning.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-warning.bp3-active{
+        background:rgba(217, 130, 43, 0.3);
+        color:#ffb366; }
+      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-warning:disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-warning:disabled,
+      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-warning:disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-warning:disabled, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-warning.bp3-disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-warning.bp3-disabled,
+      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-warning.bp3-disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-warning.bp3-disabled{
+        background:none;
+        color:rgba(255, 179, 102, 0.5); }
+        .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-warning:disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-warning:disabled.bp3-active,
+        .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-warning:disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-warning:disabled.bp3-active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-warning.bp3-disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-warning.bp3-disabled.bp3-active,
+        .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-warning.bp3-disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-warning.bp3-disabled.bp3-active{
+          background:rgba(217, 130, 43, 0.3); }
+  .bp3-html-select.bp3-minimal select.bp3-intent-danger,
+  .bp3-select.bp3-minimal select.bp3-intent-danger{
+    color:#c23030; }
+    .bp3-html-select.bp3-minimal select.bp3-intent-danger:hover,
+    .bp3-select.bp3-minimal select.bp3-intent-danger:hover, .bp3-html-select.bp3-minimal select.bp3-intent-danger:active,
+    .bp3-select.bp3-minimal select.bp3-intent-danger:active, .bp3-html-select.bp3-minimal select.bp3-intent-danger.bp3-active,
+    .bp3-select.bp3-minimal select.bp3-intent-danger.bp3-active{
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background:none;
+      color:#c23030; }
+    .bp3-html-select.bp3-minimal select.bp3-intent-danger:hover,
+    .bp3-select.bp3-minimal select.bp3-intent-danger:hover{
+      background:rgba(219, 55, 55, 0.15);
+      color:#c23030; }
+    .bp3-html-select.bp3-minimal select.bp3-intent-danger:active,
+    .bp3-select.bp3-minimal select.bp3-intent-danger:active, .bp3-html-select.bp3-minimal select.bp3-intent-danger.bp3-active,
+    .bp3-select.bp3-minimal select.bp3-intent-danger.bp3-active{
+      background:rgba(219, 55, 55, 0.3);
+      color:#c23030; }
+    .bp3-html-select.bp3-minimal select.bp3-intent-danger:disabled,
+    .bp3-select.bp3-minimal select.bp3-intent-danger:disabled, .bp3-html-select.bp3-minimal select.bp3-intent-danger.bp3-disabled,
+    .bp3-select.bp3-minimal select.bp3-intent-danger.bp3-disabled{
+      background:none;
+      color:rgba(194, 48, 48, 0.5); }
+      .bp3-html-select.bp3-minimal select.bp3-intent-danger:disabled.bp3-active,
+      .bp3-select.bp3-minimal select.bp3-intent-danger:disabled.bp3-active, .bp3-html-select.bp3-minimal select.bp3-intent-danger.bp3-disabled.bp3-active,
+      .bp3-select.bp3-minimal select.bp3-intent-danger.bp3-disabled.bp3-active{
+        background:rgba(219, 55, 55, 0.3); }
+    .bp3-html-select.bp3-minimal select.bp3-intent-danger .bp3-button-spinner .bp3-spinner-head, .bp3-select.bp3-minimal select.bp3-intent-danger .bp3-button-spinner .bp3-spinner-head{
+      stroke:#c23030; }
+    .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-danger, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-danger,
+    .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-danger, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-danger{
+      color:#ff7373; }
+      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-danger:hover, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-danger:hover,
+      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-danger:hover, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-danger:hover{
+        background:rgba(219, 55, 55, 0.2);
+        color:#ff7373; }
+      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-danger:active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-danger:active,
+      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-danger:active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-danger:active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-danger.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-danger.bp3-active,
+      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-danger.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-danger.bp3-active{
+        background:rgba(219, 55, 55, 0.3);
+        color:#ff7373; }
+      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-danger:disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-danger:disabled,
+      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-danger:disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-danger:disabled, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-danger.bp3-disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-danger.bp3-disabled,
+      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-danger.bp3-disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-danger.bp3-disabled{
+        background:none;
+        color:rgba(255, 115, 115, 0.5); }
+        .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-danger:disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-danger:disabled.bp3-active,
+        .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-danger:disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-danger:disabled.bp3-active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-danger.bp3-disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-danger.bp3-disabled.bp3-active,
+        .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-danger.bp3-disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-danger.bp3-disabled.bp3-active{
+          background:rgba(219, 55, 55, 0.3); }
+
+.bp3-html-select.bp3-large select,
+.bp3-select.bp3-large select{
+  height:40px;
+  padding-right:35px;
+  font-size:16px; }
+
+.bp3-dark .bp3-html-select select, .bp3-dark .bp3-select select{
+  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+  background-color:#394b59;
+  background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.05)), to(rgba(255, 255, 255, 0)));
+  background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.05), rgba(255, 255, 255, 0));
+  color:#f5f8fa; }
+  .bp3-dark .bp3-html-select select:hover, .bp3-dark .bp3-select select:hover, .bp3-dark .bp3-html-select select:active, .bp3-dark .bp3-select select:active, .bp3-dark .bp3-html-select select.bp3-active, .bp3-dark .bp3-select select.bp3-active{
+    color:#f5f8fa; }
+  .bp3-dark .bp3-html-select select:hover, .bp3-dark .bp3-select select:hover{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+    background-color:#30404d; }
+  .bp3-dark .bp3-html-select select:active, .bp3-dark .bp3-select select:active, .bp3-dark .bp3-html-select select.bp3-active, .bp3-dark .bp3-select select.bp3-active{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+    background-color:#202b33;
+    background-image:none; }
+  .bp3-dark .bp3-html-select select:disabled, .bp3-dark .bp3-select select:disabled, .bp3-dark .bp3-html-select select.bp3-disabled, .bp3-dark .bp3-select select.bp3-disabled{
+    -webkit-box-shadow:none;
+            box-shadow:none;
+    background-color:rgba(57, 75, 89, 0.5);
+    background-image:none;
+    color:rgba(167, 182, 194, 0.6); }
+    .bp3-dark .bp3-html-select select:disabled.bp3-active, .bp3-dark .bp3-select select:disabled.bp3-active, .bp3-dark .bp3-html-select select.bp3-disabled.bp3-active, .bp3-dark .bp3-select select.bp3-disabled.bp3-active{
+      background:rgba(57, 75, 89, 0.7); }
+  .bp3-dark .bp3-html-select select .bp3-button-spinner .bp3-spinner-head, .bp3-dark .bp3-select select .bp3-button-spinner .bp3-spinner-head{
+    background:rgba(16, 22, 26, 0.5);
+    stroke:#8a9ba8; }
+
+.bp3-html-select select:disabled,
+.bp3-select select:disabled{
+  -webkit-box-shadow:none;
+          box-shadow:none;
+  background-color:rgba(206, 217, 224, 0.5);
+  cursor:not-allowed;
+  color:rgba(92, 112, 128, 0.6); }
+
+.bp3-html-select .bp3-icon,
+.bp3-select .bp3-icon, .bp3-select::after{
+  position:absolute;
+  top:7px;
+  right:7px;
+  color:#5c7080;
+  pointer-events:none; }
+  .bp3-html-select .bp3-disabled.bp3-icon,
+  .bp3-select .bp3-disabled.bp3-icon, .bp3-disabled.bp3-select::after{
+    color:rgba(92, 112, 128, 0.6); }
+.bp3-html-select,
+.bp3-select{
+  display:inline-block;
+  position:relative;
+  vertical-align:middle;
+  letter-spacing:normal; }
+  .bp3-html-select select::-ms-expand,
+  .bp3-select select::-ms-expand{
+    display:none; }
+  .bp3-html-select .bp3-icon,
+  .bp3-select .bp3-icon{
+    color:#5c7080; }
+    .bp3-html-select .bp3-icon:hover,
+    .bp3-select .bp3-icon:hover{
+      color:#182026; }
+    .bp3-dark .bp3-html-select .bp3-icon, .bp3-dark
+    .bp3-select .bp3-icon{
+      color:#a7b6c2; }
+      .bp3-dark .bp3-html-select .bp3-icon:hover, .bp3-dark
+      .bp3-select .bp3-icon:hover{
+        color:#f5f8fa; }
+  .bp3-html-select.bp3-large::after,
+  .bp3-html-select.bp3-large .bp3-icon,
+  .bp3-select.bp3-large::after,
+  .bp3-select.bp3-large .bp3-icon{
+    top:12px;
+    right:12px; }
+  .bp3-html-select.bp3-fill,
+  .bp3-html-select.bp3-fill select,
+  .bp3-select.bp3-fill,
+  .bp3-select.bp3-fill select{
+    width:100%; }
+  .bp3-dark .bp3-html-select option, .bp3-dark
+  .bp3-select option{
+    background-color:#30404d;
+    color:#f5f8fa; }
+  .bp3-dark .bp3-html-select::after, .bp3-dark
+  .bp3-select::after{
+    color:#a7b6c2; }
+
+.bp3-select::after{
+  line-height:1;
+  font-family:"Icons16", sans-serif;
+  font-size:16px;
+  font-weight:400;
+  font-style:normal;
+  -moz-osx-font-smoothing:grayscale;
+  -webkit-font-smoothing:antialiased;
+  content:""; }
+.bp3-running-text table, table.bp3-html-table{
+  border-spacing:0;
+  font-size:14px; }
+  .bp3-running-text table th, table.bp3-html-table th,
+  .bp3-running-text table td,
+  table.bp3-html-table td{
+    padding:11px;
+    vertical-align:top;
+    text-align:left; }
+  .bp3-running-text table th, table.bp3-html-table th{
+    color:#182026;
+    font-weight:600; }
+  
+  .bp3-running-text table td,
+  table.bp3-html-table td{
+    color:#182026; }
+  .bp3-running-text table tbody tr:first-child th, table.bp3-html-table tbody tr:first-child th,
+  .bp3-running-text table tbody tr:first-child td,
+  table.bp3-html-table tbody tr:first-child td{
+    -webkit-box-shadow:inset 0 1px 0 0 rgba(16, 22, 26, 0.15);
+            box-shadow:inset 0 1px 0 0 rgba(16, 22, 26, 0.15); }
+  .bp3-dark .bp3-running-text table th, .bp3-running-text .bp3-dark table th, .bp3-dark table.bp3-html-table th{
+    color:#f5f8fa; }
+  .bp3-dark .bp3-running-text table td, .bp3-running-text .bp3-dark table td, .bp3-dark table.bp3-html-table td{
+    color:#f5f8fa; }
+  .bp3-dark .bp3-running-text table tbody tr:first-child th, .bp3-running-text .bp3-dark table tbody tr:first-child th, .bp3-dark table.bp3-html-table tbody tr:first-child th,
+  .bp3-dark .bp3-running-text table tbody tr:first-child td,
+  .bp3-running-text .bp3-dark table tbody tr:first-child td,
+  .bp3-dark table.bp3-html-table tbody tr:first-child td{
+    -webkit-box-shadow:inset 0 1px 0 0 rgba(255, 255, 255, 0.15);
+            box-shadow:inset 0 1px 0 0 rgba(255, 255, 255, 0.15); }
+
+table.bp3-html-table.bp3-html-table-condensed th,
+table.bp3-html-table.bp3-html-table-condensed td, table.bp3-html-table.bp3-small th,
+table.bp3-html-table.bp3-small td{
+  padding-top:6px;
+  padding-bottom:6px; }
+
+table.bp3-html-table.bp3-html-table-striped tbody tr:nth-child(odd) td{
+  background:rgba(191, 204, 214, 0.15); }
+
+table.bp3-html-table.bp3-html-table-bordered th:not(:first-child){
+  -webkit-box-shadow:inset 1px 0 0 0 rgba(16, 22, 26, 0.15);
+          box-shadow:inset 1px 0 0 0 rgba(16, 22, 26, 0.15); }
+
+table.bp3-html-table.bp3-html-table-bordered tbody tr td{
+  -webkit-box-shadow:inset 0 1px 0 0 rgba(16, 22, 26, 0.15);
+          box-shadow:inset 0 1px 0 0 rgba(16, 22, 26, 0.15); }
+  table.bp3-html-table.bp3-html-table-bordered tbody tr td:not(:first-child){
+    -webkit-box-shadow:inset 1px 1px 0 0 rgba(16, 22, 26, 0.15);
+            box-shadow:inset 1px 1px 0 0 rgba(16, 22, 26, 0.15); }
+
+table.bp3-html-table.bp3-html-table-bordered.bp3-html-table-striped tbody tr:not(:first-child) td{
+  -webkit-box-shadow:none;
+          box-shadow:none; }
+  table.bp3-html-table.bp3-html-table-bordered.bp3-html-table-striped tbody tr:not(:first-child) td:not(:first-child){
+    -webkit-box-shadow:inset 1px 0 0 0 rgba(16, 22, 26, 0.15);
+            box-shadow:inset 1px 0 0 0 rgba(16, 22, 26, 0.15); }
+
+table.bp3-html-table.bp3-interactive tbody tr:hover td{
+  background-color:rgba(191, 204, 214, 0.3);
+  cursor:pointer; }
+
+table.bp3-html-table.bp3-interactive tbody tr:active td{
+  background-color:rgba(191, 204, 214, 0.4); }
+
+.bp3-dark table.bp3-html-table.bp3-html-table-striped tbody tr:nth-child(odd) td{
+  background:rgba(92, 112, 128, 0.15); }
+
+.bp3-dark table.bp3-html-table.bp3-html-table-bordered th:not(:first-child){
+  -webkit-box-shadow:inset 1px 0 0 0 rgba(255, 255, 255, 0.15);
+          box-shadow:inset 1px 0 0 0 rgba(255, 255, 255, 0.15); }
+
+.bp3-dark table.bp3-html-table.bp3-html-table-bordered tbody tr td{
+  -webkit-box-shadow:inset 0 1px 0 0 rgba(255, 255, 255, 0.15);
+          box-shadow:inset 0 1px 0 0 rgba(255, 255, 255, 0.15); }
+  .bp3-dark table.bp3-html-table.bp3-html-table-bordered tbody tr td:not(:first-child){
+    -webkit-box-shadow:inset 1px 1px 0 0 rgba(255, 255, 255, 0.15);
+            box-shadow:inset 1px 1px 0 0 rgba(255, 255, 255, 0.15); }
+
+.bp3-dark table.bp3-html-table.bp3-html-table-bordered.bp3-html-table-striped tbody tr:not(:first-child) td{
+  -webkit-box-shadow:inset 1px 0 0 0 rgba(255, 255, 255, 0.15);
+          box-shadow:inset 1px 0 0 0 rgba(255, 255, 255, 0.15); }
+  .bp3-dark table.bp3-html-table.bp3-html-table-bordered.bp3-html-table-striped tbody tr:not(:first-child) td:first-child{
+    -webkit-box-shadow:none;
+            box-shadow:none; }
+
+.bp3-dark table.bp3-html-table.bp3-interactive tbody tr:hover td{
+  background-color:rgba(92, 112, 128, 0.3);
+  cursor:pointer; }
+
+.bp3-dark table.bp3-html-table.bp3-interactive tbody tr:active td{
+  background-color:rgba(92, 112, 128, 0.4); }
+
+.bp3-key-combo{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -webkit-box-orient:horizontal;
+  -webkit-box-direction:normal;
+      -ms-flex-direction:row;
+          flex-direction:row;
+  -webkit-box-align:center;
+      -ms-flex-align:center;
+          align-items:center; }
+  .bp3-key-combo > *{
+    -webkit-box-flex:0;
+        -ms-flex-positive:0;
+            flex-grow:0;
+    -ms-flex-negative:0;
+        flex-shrink:0; }
+  .bp3-key-combo > .bp3-fill{
+    -webkit-box-flex:1;
+        -ms-flex-positive:1;
+            flex-grow:1;
+    -ms-flex-negative:1;
+        flex-shrink:1; }
+  .bp3-key-combo::before,
+  .bp3-key-combo > *{
+    margin-right:5px; }
+  .bp3-key-combo:empty::before,
+  .bp3-key-combo > :last-child{
+    margin-right:0; }
+
+.bp3-hotkey-dialog{
+  top:40px;
+  padding-bottom:0; }
+  .bp3-hotkey-dialog .bp3-dialog-body{
+    margin:0;
+    padding:0; }
+  .bp3-hotkey-dialog .bp3-hotkey-label{
+    -webkit-box-flex:1;
+        -ms-flex-positive:1;
+            flex-grow:1; }
+
+.bp3-hotkey-column{
+  margin:auto;
+  max-height:80vh;
+  overflow-y:auto;
+  padding:30px; }
+  .bp3-hotkey-column .bp3-heading{
+    margin-bottom:20px; }
+    .bp3-hotkey-column .bp3-heading:not(:first-child){
+      margin-top:40px; }
+
+.bp3-hotkey{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -webkit-box-align:center;
+      -ms-flex-align:center;
+          align-items:center;
+  -webkit-box-pack:justify;
+      -ms-flex-pack:justify;
+          justify-content:space-between;
+  margin-right:0;
+  margin-left:0; }
+  .bp3-hotkey:not(:last-child){
+    margin-bottom:10px; }
+.bp3-icon{
+  display:inline-block;
+  -webkit-box-flex:0;
+      -ms-flex:0 0 auto;
+          flex:0 0 auto;
+  vertical-align:text-bottom; }
+  .bp3-icon:not(:empty)::before{
+    content:"" !important;
+    content:unset !important; }
+  .bp3-icon > svg{
+    display:block; }
+    .bp3-icon > svg:not([fill]){
+      fill:currentColor; }
+
+.bp3-icon.bp3-intent-primary, .bp3-icon-standard.bp3-intent-primary, .bp3-icon-large.bp3-intent-primary{
+  color:#106ba3; }
+  .bp3-dark .bp3-icon.bp3-intent-primary, .bp3-dark .bp3-icon-standard.bp3-intent-primary, .bp3-dark .bp3-icon-large.bp3-intent-primary{
+    color:#48aff0; }
+
+.bp3-icon.bp3-intent-success, .bp3-icon-standard.bp3-intent-success, .bp3-icon-large.bp3-intent-success{
+  color:#0d8050; }
+  .bp3-dark .bp3-icon.bp3-intent-success, .bp3-dark .bp3-icon-standard.bp3-intent-success, .bp3-dark .bp3-icon-large.bp3-intent-success{
+    color:#3dcc91; }
+
+.bp3-icon.bp3-intent-warning, .bp3-icon-standard.bp3-intent-warning, .bp3-icon-large.bp3-intent-warning{
+  color:#bf7326; }
+  .bp3-dark .bp3-icon.bp3-intent-warning, .bp3-dark .bp3-icon-standard.bp3-intent-warning, .bp3-dark .bp3-icon-large.bp3-intent-warning{
+    color:#ffb366; }
+
+.bp3-icon.bp3-intent-danger, .bp3-icon-standard.bp3-intent-danger, .bp3-icon-large.bp3-intent-danger{
+  color:#c23030; }
+  .bp3-dark .bp3-icon.bp3-intent-danger, .bp3-dark .bp3-icon-standard.bp3-intent-danger, .bp3-dark .bp3-icon-large.bp3-intent-danger{
+    color:#ff7373; }
+
+span.bp3-icon-standard{
+  line-height:1;
+  font-family:"Icons16", sans-serif;
+  font-size:16px;
+  font-weight:400;
+  font-style:normal;
+  -moz-osx-font-smoothing:grayscale;
+  -webkit-font-smoothing:antialiased;
+  display:inline-block; }
+
+span.bp3-icon-large{
+  line-height:1;
+  font-family:"Icons20", sans-serif;
+  font-size:20px;
+  font-weight:400;
+  font-style:normal;
+  -moz-osx-font-smoothing:grayscale;
+  -webkit-font-smoothing:antialiased;
+  display:inline-block; }
+
+span.bp3-icon:empty{
+  line-height:1;
+  font-family:"Icons20";
+  font-size:inherit;
+  font-weight:400;
+  font-style:normal; }
+  span.bp3-icon:empty::before{
+    -moz-osx-font-smoothing:grayscale;
+    -webkit-font-smoothing:antialiased; }
+
+.bp3-icon-add::before{
+  content:""; }
+
+.bp3-icon-add-column-left::before{
+  content:""; }
+
+.bp3-icon-add-column-right::before{
+  content:""; }
+
+.bp3-icon-add-row-bottom::before{
+  content:""; }
+
+.bp3-icon-add-row-top::before{
+  content:""; }
+
+.bp3-icon-add-to-artifact::before{
+  content:""; }
+
+.bp3-icon-add-to-folder::before{
+  content:""; }
+
+.bp3-icon-airplane::before{
+  content:""; }
+
+.bp3-icon-align-center::before{
+  content:""; }
+
+.bp3-icon-align-justify::before{
+  content:""; }
+
+.bp3-icon-align-left::before{
+  content:""; }
+
+.bp3-icon-align-right::before{
+  content:""; }
+
+.bp3-icon-alignment-bottom::before{
+  content:""; }
+
+.bp3-icon-alignment-horizontal-center::before{
+  content:""; }
+
+.bp3-icon-alignment-left::before{
+  content:""; }
+
+.bp3-icon-alignment-right::before{
+  content:""; }
+
+.bp3-icon-alignment-top::before{
+  content:""; }
+
+.bp3-icon-alignment-vertical-center::before{
+  content:""; }
+
+.bp3-icon-annotation::before{
+  content:""; }
+
+.bp3-icon-application::before{
+  content:""; }
+
+.bp3-icon-applications::before{
+  content:""; }
+
+.bp3-icon-archive::before{
+  content:""; }
+
+.bp3-icon-arrow-bottom-left::before{
+  content:"↙"; }
+
+.bp3-icon-arrow-bottom-right::before{
+  content:"↘"; }
+
+.bp3-icon-arrow-down::before{
+  content:"↓"; }
+
+.bp3-icon-arrow-left::before{
+  content:"←"; }
+
+.bp3-icon-arrow-right::before{
+  content:"→"; }
+
+.bp3-icon-arrow-top-left::before{
+  content:"↖"; }
+
+.bp3-icon-arrow-top-right::before{
+  content:"↗"; }
+
+.bp3-icon-arrow-up::before{
+  content:"↑"; }
+
+.bp3-icon-arrows-horizontal::before{
+  content:"↔"; }
+
+.bp3-icon-arrows-vertical::before{
+  content:"↕"; }
+
+.bp3-icon-asterisk::before{
+  content:"*"; }
+
+.bp3-icon-automatic-updates::before{
+  content:""; }
+
+.bp3-icon-badge::before{
+  content:""; }
+
+.bp3-icon-ban-circle::before{
+  content:""; }
+
+.bp3-icon-bank-account::before{
+  content:""; }
+
+.bp3-icon-barcode::before{
+  content:""; }
+
+.bp3-icon-blank::before{
+  content:""; }
+
+.bp3-icon-blocked-person::before{
+  content:""; }
+
+.bp3-icon-bold::before{
+  content:""; }
+
+.bp3-icon-book::before{
+  content:""; }
+
+.bp3-icon-bookmark::before{
+  content:""; }
+
+.bp3-icon-box::before{
+  content:""; }
+
+.bp3-icon-briefcase::before{
+  content:""; }
+
+.bp3-icon-bring-data::before{
+  content:""; }
+
+.bp3-icon-build::before{
+  content:""; }
+
+.bp3-icon-calculator::before{
+  content:""; }
+
+.bp3-icon-calendar::before{
+  content:""; }
+
+.bp3-icon-camera::before{
+  content:""; }
+
+.bp3-icon-caret-down::before{
+  content:"⌄"; }
+
+.bp3-icon-caret-left::before{
+  content:"〈"; }
+
+.bp3-icon-caret-right::before{
+  content:"〉"; }
+
+.bp3-icon-caret-up::before{
+  content:"⌃"; }
+
+.bp3-icon-cell-tower::before{
+  content:""; }
+
+.bp3-icon-changes::before{
+  content:""; }
+
+.bp3-icon-chart::before{
+  content:""; }
+
+.bp3-icon-chat::before{
+  content:""; }
+
+.bp3-icon-chevron-backward::before{
+  content:""; }
+
+.bp3-icon-chevron-down::before{
+  content:""; }
+
+.bp3-icon-chevron-forward::before{
+  content:""; }
+
+.bp3-icon-chevron-left::before{
+  content:""; }
+
+.bp3-icon-chevron-right::before{
+  content:""; }
+
+.bp3-icon-chevron-up::before{
+  content:""; }
+
+.bp3-icon-circle::before{
+  content:""; }
+
+.bp3-icon-circle-arrow-down::before{
+  content:""; }
+
+.bp3-icon-circle-arrow-left::before{
+  content:""; }
+
+.bp3-icon-circle-arrow-right::before{
+  content:""; }
+
+.bp3-icon-circle-arrow-up::before{
+  content:""; }
+
+.bp3-icon-citation::before{
+  content:""; }
+
+.bp3-icon-clean::before{
+  content:""; }
+
+.bp3-icon-clipboard::before{
+  content:""; }
+
+.bp3-icon-cloud::before{
+  content:"☁"; }
+
+.bp3-icon-cloud-download::before{
+  content:""; }
+
+.bp3-icon-cloud-upload::before{
+  content:""; }
+
+.bp3-icon-code::before{
+  content:""; }
+
+.bp3-icon-code-block::before{
+  content:""; }
+
+.bp3-icon-cog::before{
+  content:""; }
+
+.bp3-icon-collapse-all::before{
+  content:""; }
+
+.bp3-icon-column-layout::before{
+  content:""; }
+
+.bp3-icon-comment::before{
+  content:""; }
+
+.bp3-icon-comparison::before{
+  content:""; }
+
+.bp3-icon-compass::before{
+  content:""; }
+
+.bp3-icon-compressed::before{
+  content:""; }
+
+.bp3-icon-confirm::before{
+  content:""; }
+
+.bp3-icon-console::before{
+  content:""; }
+
+.bp3-icon-contrast::before{
+  content:""; }
+
+.bp3-icon-control::before{
+  content:""; }
+
+.bp3-icon-credit-card::before{
+  content:""; }
+
+.bp3-icon-cross::before{
+  content:"✗"; }
+
+.bp3-icon-crown::before{
+  content:""; }
+
+.bp3-icon-cube::before{
+  content:""; }
+
+.bp3-icon-cube-add::before{
+  content:""; }
+
+.bp3-icon-cube-remove::before{
+  content:""; }
+
+.bp3-icon-curved-range-chart::before{
+  content:""; }
+
+.bp3-icon-cut::before{
+  content:""; }
+
+.bp3-icon-dashboard::before{
+  content:""; }
+
+.bp3-icon-data-lineage::before{
+  content:""; }
+
+.bp3-icon-database::before{
+  content:""; }
+
+.bp3-icon-delete::before{
+  content:""; }
+
+.bp3-icon-delta::before{
+  content:"Δ"; }
+
+.bp3-icon-derive-column::before{
+  content:""; }
+
+.bp3-icon-desktop::before{
+  content:""; }
+
+.bp3-icon-diagram-tree::before{
+  content:""; }
+
+.bp3-icon-direction-left::before{
+  content:""; }
+
+.bp3-icon-direction-right::before{
+  content:""; }
+
+.bp3-icon-disable::before{
+  content:""; }
+
+.bp3-icon-document::before{
+  content:""; }
+
+.bp3-icon-document-open::before{
+  content:""; }
+
+.bp3-icon-document-share::before{
+  content:""; }
+
+.bp3-icon-dollar::before{
+  content:"$"; }
+
+.bp3-icon-dot::before{
+  content:"•"; }
+
+.bp3-icon-double-caret-horizontal::before{
+  content:""; }
+
+.bp3-icon-double-caret-vertical::before{
+  content:""; }
+
+.bp3-icon-double-chevron-down::before{
+  content:""; }
+
+.bp3-icon-double-chevron-left::before{
+  content:""; }
+
+.bp3-icon-double-chevron-right::before{
+  content:""; }
+
+.bp3-icon-double-chevron-up::before{
+  content:""; }
+
+.bp3-icon-doughnut-chart::before{
+  content:""; }
+
+.bp3-icon-download::before{
+  content:""; }
+
+.bp3-icon-drag-handle-horizontal::before{
+  content:""; }
+
+.bp3-icon-drag-handle-vertical::before{
+  content:""; }
+
+.bp3-icon-draw::before{
+  content:""; }
+
+.bp3-icon-drive-time::before{
+  content:""; }
+
+.bp3-icon-duplicate::before{
+  content:""; }
+
+.bp3-icon-edit::before{
+  content:"✎"; }
+
+.bp3-icon-eject::before{
+  content:"⏏"; }
+
+.bp3-icon-endorsed::before{
+  content:""; }
+
+.bp3-icon-envelope::before{
+  content:"✉"; }
+
+.bp3-icon-equals::before{
+  content:""; }
+
+.bp3-icon-eraser::before{
+  content:""; }
+
+.bp3-icon-error::before{
+  content:""; }
+
+.bp3-icon-euro::before{
+  content:"€"; }
+
+.bp3-icon-exchange::before{
+  content:""; }
+
+.bp3-icon-exclude-row::before{
+  content:""; }
+
+.bp3-icon-expand-all::before{
+  content:""; }
+
+.bp3-icon-export::before{
+  content:""; }
+
+.bp3-icon-eye-off::before{
+  content:""; }
+
+.bp3-icon-eye-on::before{
+  content:""; }
+
+.bp3-icon-eye-open::before{
+  content:""; }
+
+.bp3-icon-fast-backward::before{
+  content:""; }
+
+.bp3-icon-fast-forward::before{
+  content:""; }
+
+.bp3-icon-feed::before{
+  content:""; }
+
+.bp3-icon-feed-subscribed::before{
+  content:""; }
+
+.bp3-icon-film::before{
+  content:""; }
+
+.bp3-icon-filter::before{
+  content:""; }
+
+.bp3-icon-filter-keep::before{
+  content:""; }
+
+.bp3-icon-filter-list::before{
+  content:""; }
+
+.bp3-icon-filter-open::before{
+  content:""; }
+
+.bp3-icon-filter-remove::before{
+  content:""; }
+
+.bp3-icon-flag::before{
+  content:"⚑"; }
+
+.bp3-icon-flame::before{
+  content:""; }
+
+.bp3-icon-flash::before{
+  content:""; }
+
+.bp3-icon-floppy-disk::before{
+  content:""; }
+
+.bp3-icon-flow-branch::before{
+  content:""; }
+
+.bp3-icon-flow-end::before{
+  content:""; }
+
+.bp3-icon-flow-linear::before{
+  content:""; }
+
+.bp3-icon-flow-review::before{
+  content:""; }
+
+.bp3-icon-flow-review-branch::before{
+  content:""; }
+
+.bp3-icon-flows::before{
+  content:""; }
+
+.bp3-icon-folder-close::before{
+  content:""; }
+
+.bp3-icon-folder-new::before{
+  content:""; }
+
+.bp3-icon-folder-open::before{
+  content:""; }
+
+.bp3-icon-folder-shared::before{
+  content:""; }
+
+.bp3-icon-folder-shared-open::before{
+  content:""; }
+
+.bp3-icon-follower::before{
+  content:""; }
+
+.bp3-icon-following::before{
+  content:""; }
+
+.bp3-icon-font::before{
+  content:""; }
+
+.bp3-icon-fork::before{
+  content:""; }
+
+.bp3-icon-form::before{
+  content:""; }
+
+.bp3-icon-full-circle::before{
+  content:""; }
+
+.bp3-icon-full-stacked-chart::before{
+  content:""; }
+
+.bp3-icon-fullscreen::before{
+  content:""; }
+
+.bp3-icon-function::before{
+  content:""; }
+
+.bp3-icon-gantt-chart::before{
+  content:""; }
+
+.bp3-icon-geolocation::before{
+  content:""; }
+
+.bp3-icon-geosearch::before{
+  content:""; }
+
+.bp3-icon-git-branch::before{
+  content:""; }
+
+.bp3-icon-git-commit::before{
+  content:""; }
+
+.bp3-icon-git-merge::before{
+  content:""; }
+
+.bp3-icon-git-new-branch::before{
+  content:""; }
+
+.bp3-icon-git-pull::before{
+  content:""; }
+
+.bp3-icon-git-push::before{
+  content:""; }
+
+.bp3-icon-git-repo::before{
+  content:""; }
+
+.bp3-icon-glass::before{
+  content:""; }
+
+.bp3-icon-globe::before{
+  content:""; }
+
+.bp3-icon-globe-network::before{
+  content:""; }
+
+.bp3-icon-graph::before{
+  content:""; }
+
+.bp3-icon-graph-remove::before{
+  content:""; }
+
+.bp3-icon-greater-than::before{
+  content:""; }
+
+.bp3-icon-greater-than-or-equal-to::before{
+  content:""; }
+
+.bp3-icon-grid::before{
+  content:""; }
+
+.bp3-icon-grid-view::before{
+  content:""; }
+
+.bp3-icon-group-objects::before{
+  content:""; }
+
+.bp3-icon-grouped-bar-chart::before{
+  content:""; }
+
+.bp3-icon-hand::before{
+  content:""; }
+
+.bp3-icon-hand-down::before{
+  content:""; }
+
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+  content:""; }
+
+.bp3-icon-hand-right::before{
+  content:""; }
+
+.bp3-icon-hand-up::before{
+  content:""; }
+
+.bp3-icon-header::before{
+  content:""; }
+
+.bp3-icon-header-one::before{
+  content:""; }
+
+.bp3-icon-header-two::before{
+  content:""; }
+
+.bp3-icon-headset::before{
+  content:""; }
+
+.bp3-icon-heart::before{
+  content:"♥"; }
+
+.bp3-icon-heart-broken::before{
+  content:""; }
+
+.bp3-icon-heat-grid::before{
+  content:""; }
+
+.bp3-icon-heatmap::before{
+  content:""; }
+
+.bp3-icon-help::before{
+  content:"?"; }
+
+.bp3-icon-helper-management::before{
+  content:""; }
+
+.bp3-icon-highlight::before{
+  content:""; }
+
+.bp3-icon-history::before{
+  content:""; }
+
+.bp3-icon-home::before{
+  content:"⌂"; }
+
+.bp3-icon-horizontal-bar-chart::before{
+  content:""; }
+
+.bp3-icon-horizontal-bar-chart-asc::before{
+  content:""; }
+
+.bp3-icon-horizontal-bar-chart-desc::before{
+  content:""; }
+
+.bp3-icon-horizontal-distribution::before{
+  content:""; }
+
+.bp3-icon-id-number::before{
+  content:""; }
+
+.bp3-icon-image-rotate-left::before{
+  content:""; }
+
+.bp3-icon-image-rotate-right::before{
+  content:""; }
+
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+  content:""; }
+
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+  content:""; }
+
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+  content:""; }
+
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+  content:""; }
+
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+  content:""; }
+
+.bp3-icon-inbox-update::before{
+  content:""; }
+
+.bp3-icon-info-sign::before{
+  content:"ℹ"; }
+
+.bp3-icon-inheritance::before{
+  content:""; }
+
+.bp3-icon-inner-join::before{
+  content:""; }
+
+.bp3-icon-insert::before{
+  content:""; }
+
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+  content:""; }
+
+.bp3-icon-ip-address::before{
+  content:""; }
+
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+  content:""; }
+
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+  content:""; }
+
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+  content:""; }
+
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+  content:""; }
+
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+  content:""; }
+
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+  content:""; }
+
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+  content:""; }
+
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+  content:""; }
+
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+  content:""; }
+
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+  content:""; }
+
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+  content:""; }
+
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+  content:""; }
+
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+  content:""; }
+
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+  content:""; }
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+  content:""; }
+
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+  content:""; }
+
+.bp3-icon-label::before{
+  content:""; }
+
+.bp3-icon-layer::before{
+  content:""; }
+
+.bp3-icon-layers::before{
+  content:""; }
+
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+  content:""; }
+
+.bp3-icon-layout-auto::before{
+  content:""; }
+
+.bp3-icon-layout-balloon::before{
+  content:""; }
+
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+  content:""; }
+
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+  content:""; }
+
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+  content:""; }
+
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+  content:""; }
+
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+  content:""; }
+
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+  content:""; }
+
+.bp3-icon-layout-sorted-clusters::before{
+  content:""; }
+
+.bp3-icon-learning::before{
+  content:""; }
+
+.bp3-icon-left-join::before{
+  content:""; }
+
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+  content:""; }
+
+.bp3-icon-less-than-or-equal-to::before{
+  content:""; }
+
+.bp3-icon-lifesaver::before{
+  content:""; }
+
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+  content:""; }
+
+.bp3-icon-link::before{
+  content:""; }
+
+.bp3-icon-list::before{
+  content:"☰"; }
+
+.bp3-icon-list-columns::before{
+  content:""; }
+
+.bp3-icon-list-detail-view::before{
+  content:""; }
+
+.bp3-icon-locate::before{
+  content:""; }
+
+.bp3-icon-lock::before{
+  content:""; }
+
+.bp3-icon-log-in::before{
+  content:""; }
+
+.bp3-icon-log-out::before{
+  content:""; }
+
+.bp3-icon-manual::before{
+  content:""; }
+
+.bp3-icon-manually-entered-data::before{
+  content:""; }
+
+.bp3-icon-map::before{
+  content:""; }
+
+.bp3-icon-map-create::before{
+  content:""; }
+
+.bp3-icon-map-marker::before{
+  content:""; }
+
+.bp3-icon-maximize::before{
+  content:""; }
+
+.bp3-icon-media::before{
+  content:""; }
+
+.bp3-icon-menu::before{
+  content:""; }
+
+.bp3-icon-menu-closed::before{
+  content:""; }
+
+.bp3-icon-menu-open::before{
+  content:""; }
+
+.bp3-icon-merge-columns::before{
+  content:""; }
+
+.bp3-icon-merge-links::before{
+  content:""; }
+
+.bp3-icon-minimize::before{
+  content:""; }
+
+.bp3-icon-minus::before{
+  content:"−"; }
+
+.bp3-icon-mobile-phone::before{
+  content:""; }
+
+.bp3-icon-mobile-video::before{
+  content:""; }
+
+.bp3-icon-moon::before{
+  content:""; }
+
+.bp3-icon-more::before{
+  content:""; }
+
+.bp3-icon-mountain::before{
+  content:""; }
+
+.bp3-icon-move::before{
+  content:""; }
+
+.bp3-icon-mugshot::before{
+  content:""; }
+
+.bp3-icon-multi-select::before{
+  content:""; }
+
+.bp3-icon-music::before{
+  content:""; }
+
+.bp3-icon-new-drawing::before{
+  content:""; }
+
+.bp3-icon-new-grid-item::before{
+  content:""; }
+
+.bp3-icon-new-layer::before{
+  content:""; }
+
+.bp3-icon-new-layers::before{
+  content:""; }
+
+.bp3-icon-new-link::before{
+  content:""; }
+
+.bp3-icon-new-object::before{
+  content:""; }
+
+.bp3-icon-new-person::before{
+  content:""; }
+
+.bp3-icon-new-prescription::before{
+  content:""; }
+
+.bp3-icon-new-text-box::before{
+  content:""; }
+
+.bp3-icon-ninja::before{
+  content:""; }
+
+.bp3-icon-not-equal-to::before{
+  content:""; }
+
+.bp3-icon-notifications::before{
+  content:""; }
+
+.bp3-icon-notifications-updated::before{
+  content:""; }
+
+.bp3-icon-numbered-list::before{
+  content:""; }
+
+.bp3-icon-numerical::before{
+  content:""; }
+
+.bp3-icon-office::before{
+  content:""; }
+
+.bp3-icon-offline::before{
+  content:""; }
+
+.bp3-icon-oil-field::before{
+  content:""; }
+
+.bp3-icon-one-column::before{
+  content:""; }
+
+.bp3-icon-outdated::before{
+  content:""; }
+
+.bp3-icon-page-layout::before{
+  content:""; }
+
+.bp3-icon-panel-stats::before{
+  content:""; }
+
+.bp3-icon-panel-table::before{
+  content:""; }
+
+.bp3-icon-paperclip::before{
+  content:""; }
+
+.bp3-icon-paragraph::before{
+  content:""; }
+
+.bp3-icon-path::before{
+  content:""; }
+
+.bp3-icon-path-search::before{
+  content:""; }
+
+.bp3-icon-pause::before{
+  content:""; }
+
+.bp3-icon-people::before{
+  content:""; }
+
+.bp3-icon-percentage::before{
+  content:""; }
+
+.bp3-icon-person::before{
+  content:""; }
+
+.bp3-icon-phone::before{
+  content:"☎"; }
+
+.bp3-icon-pie-chart::before{
+  content:""; }
+
+.bp3-icon-pin::before{
+  content:""; }
+
+.bp3-icon-pivot::before{
+  content:""; }
+
+.bp3-icon-pivot-table::before{
+  content:""; }
+
+.bp3-icon-play::before{
+  content:""; }
+
+.bp3-icon-plus::before{
+  content:"+"; }
+
+.bp3-icon-polygon-filter::before{
+  content:""; }
+
+.bp3-icon-power::before{
+  content:""; }
+
+.bp3-icon-predictive-analysis::before{
+  content:""; }
+
+.bp3-icon-prescription::before{
+  content:""; }
+
+.bp3-icon-presentation::before{
+  content:""; }
+
+.bp3-icon-print::before{
+  content:"⎙"; }
+
+.bp3-icon-projects::before{
+  content:""; }
+
+.bp3-icon-properties::before{
+  content:""; }
+
+.bp3-icon-property::before{
+  content:""; }
+
+.bp3-icon-publish-function::before{
+  content:""; }
+
+.bp3-icon-pulse::before{
+  content:""; }
+
+.bp3-icon-random::before{
+  content:""; }
+
+.bp3-icon-record::before{
+  content:""; }
+
+.bp3-icon-redo::before{
+  content:""; }
+
+.bp3-icon-refresh::before{
+  content:""; }
+
+.bp3-icon-regression-chart::before{
+  content:""; }
+
+.bp3-icon-remove::before{
+  content:""; }
+
+.bp3-icon-remove-column::before{
+  content:""; }
+
+.bp3-icon-remove-column-left::before{
+  content:""; }
+
+.bp3-icon-remove-column-right::before{
+  content:""; }
+
+.bp3-icon-remove-row-bottom::before{
+  content:""; }
+
+.bp3-icon-remove-row-top::before{
+  content:""; }
+
+.bp3-icon-repeat::before{
+  content:""; }
+
+.bp3-icon-reset::before{
+  content:""; }
+
+.bp3-icon-resolve::before{
+  content:""; }
+
+.bp3-icon-rig::before{
+  content:""; }
+
+.bp3-icon-right-join::before{
+  content:""; }
+
+.bp3-icon-ring::before{
+  content:""; }
+
+.bp3-icon-rotate-document::before{
+  content:""; }
+
+.bp3-icon-rotate-page::before{
+  content:""; }
+
+.bp3-icon-satellite::before{
+  content:""; }
+
+.bp3-icon-saved::before{
+  content:""; }
+
+.bp3-icon-scatter-plot::before{
+  content:""; }
+
+.bp3-icon-search::before{
+  content:""; }
+
+.bp3-icon-search-around::before{
+  content:""; }
+
+.bp3-icon-search-template::before{
+  content:""; }
+
+.bp3-icon-search-text::before{
+  content:""; }
+
+.bp3-icon-segmented-control::before{
+  content:""; }
+
+.bp3-icon-select::before{
+  content:""; }
+
+.bp3-icon-selection::before{
+  content:"⦿"; }
+
+.bp3-icon-send-to::before{
+  content:""; }
+
+.bp3-icon-send-to-graph::before{
+  content:""; }
+
+.bp3-icon-send-to-map::before{
+  content:""; }
+
+.bp3-icon-series-add::before{
+  content:""; }
+
+.bp3-icon-series-configuration::before{
+  content:""; }
+
+.bp3-icon-series-derived::before{
+  content:""; }
+
+.bp3-icon-series-filtered::before{
+  content:""; }
+
+.bp3-icon-series-search::before{
+  content:""; }
+
+.bp3-icon-settings::before{
+  content:""; }
+
+.bp3-icon-share::before{
+  content:""; }
+
+.bp3-icon-shield::before{
+  content:""; }
+
+.bp3-icon-shop::before{
+  content:""; }
+
+.bp3-icon-shopping-cart::before{
+  content:""; }
+
+.bp3-icon-signal-search::before{
+  content:""; }
+
+.bp3-icon-sim-card::before{
+  content:""; }
+
+.bp3-icon-slash::before{
+  content:""; }
+
+.bp3-icon-small-cross::before{
+  content:""; }
+
+.bp3-icon-small-minus::before{
+  content:""; }
+
+.bp3-icon-small-plus::before{
+  content:""; }
+
+.bp3-icon-small-tick::before{
+  content:""; }
+
+.bp3-icon-snowflake::before{
+  content:""; }
+
+.bp3-icon-social-media::before{
+  content:""; }
+
+.bp3-icon-sort::before{
+  content:""; }
+
+.bp3-icon-sort-alphabetical::before{
+  content:""; }
+
+.bp3-icon-sort-alphabetical-desc::before{
+  content:""; }
+
+.bp3-icon-sort-asc::before{
+  content:""; }
+
+.bp3-icon-sort-desc::before{
+  content:""; }
+
+.bp3-icon-sort-numerical::before{
+  content:""; }
+
+.bp3-icon-sort-numerical-desc::before{
+  content:""; }
+
+.bp3-icon-split-columns::before{
+  content:""; }
+
+.bp3-icon-square::before{
+  content:""; }
+
+.bp3-icon-stacked-chart::before{
+  content:""; }
+
+.bp3-icon-star::before{
+  content:"★"; }
+
+.bp3-icon-star-empty::before{
+  content:"☆"; }
+
+.bp3-icon-step-backward::before{
+  content:""; }
+
+.bp3-icon-step-chart::before{
+  content:""; }
+
+.bp3-icon-step-forward::before{
+  content:""; }
+
+.bp3-icon-stop::before{
+  content:""; }
+
+.bp3-icon-stopwatch::before{
+  content:""; }
+
+.bp3-icon-strikethrough::before{
+  content:""; }
+
+.bp3-icon-style::before{
+  content:""; }
+
+.bp3-icon-swap-horizontal::before{
+  content:""; }
+
+.bp3-icon-swap-vertical::before{
+  content:""; }
+
+.bp3-icon-symbol-circle::before{
+  content:""; }
+
+.bp3-icon-symbol-cross::before{
+  content:""; }
+
+.bp3-icon-symbol-diamond::before{
+  content:""; }
+
+.bp3-icon-symbol-square::before{
+  content:""; }
+
+.bp3-icon-symbol-triangle-down::before{
+  content:""; }
+
+.bp3-icon-symbol-triangle-up::before{
+  content:""; }
+
+.bp3-icon-tag::before{
+  content:""; }
+
+.bp3-icon-take-action::before{
+  content:""; }
+
+.bp3-icon-taxi::before{
+  content:""; }
+
+.bp3-icon-text-highlight::before{
+  content:""; }
+
+.bp3-icon-th::before{
+  content:""; }
+
+.bp3-icon-th-derived::before{
+  content:""; }
+
+.bp3-icon-th-disconnect::before{
+  content:""; }
+
+.bp3-icon-th-filtered::before{
+  content:""; }
+
+.bp3-icon-th-list::before{
+  content:""; }
+
+.bp3-icon-thumbs-down::before{
+  content:""; }
+
+.bp3-icon-thumbs-up::before{
+  content:""; }
+
+.bp3-icon-tick::before{
+  content:"✓"; }
+
+.bp3-icon-tick-circle::before{
+  content:""; }
+
+.bp3-icon-time::before{
+  content:"⏲"; }
+
+.bp3-icon-timeline-area-chart::before{
+  content:""; }
+
+.bp3-icon-timeline-bar-chart::before{
+  content:""; }
+
+.bp3-icon-timeline-events::before{
+  content:""; }
+
+.bp3-icon-timeline-line-chart::before{
+  content:""; }
+
+.bp3-icon-tint::before{
+  content:""; }
+
+.bp3-icon-torch::before{
+  content:""; }
+
+.bp3-icon-tractor::before{
+  content:""; }
+
+.bp3-icon-train::before{
+  content:""; }
+
+.bp3-icon-translate::before{
+  content:""; }
+
+.bp3-icon-trash::before{
+  content:""; }
+
+.bp3-icon-tree::before{
+  content:""; }
+
+.bp3-icon-trending-down::before{
+  content:""; }
+
+.bp3-icon-trending-up::before{
+  content:""; }
+
+.bp3-icon-truck::before{
+  content:""; }
+
+.bp3-icon-two-columns::before{
+  content:""; }
+
+.bp3-icon-unarchive::before{
+  content:""; }
+
+.bp3-icon-underline::before{
+  content:"⎁"; }
+
+.bp3-icon-undo::before{
+  content:"⎌"; }
+
+.bp3-icon-ungroup-objects::before{
+  content:""; }
+
+.bp3-icon-unknown-vehicle::before{
+  content:""; }
+
+.bp3-icon-unlock::before{
+  content:""; }
+
+.bp3-icon-unpin::before{
+  content:""; }
+
+.bp3-icon-unresolve::before{
+  content:""; }
+
+.bp3-icon-updated::before{
+  content:""; }
+
+.bp3-icon-upload::before{
+  content:""; }
+
+.bp3-icon-user::before{
+  content:""; }
+
+.bp3-icon-variable::before{
+  content:""; }
+
+.bp3-icon-vertical-bar-chart-asc::before{
+  content:""; }
+
+.bp3-icon-vertical-bar-chart-desc::before{
+  content:""; }
+
+.bp3-icon-vertical-distribution::before{
+  content:""; }
+
+.bp3-icon-video::before{
+  content:""; }
+
+.bp3-icon-volume-down::before{
+  content:""; }
+
+.bp3-icon-volume-off::before{
+  content:""; }
+
+.bp3-icon-volume-up::before{
+  content:""; }
+
+.bp3-icon-walk::before{
+  content:""; }
+
+.bp3-icon-warning-sign::before{
+  content:""; }
+
+.bp3-icon-waterfall-chart::before{
+  content:""; }
+
+.bp3-icon-widget::before{
+  content:""; }
+
+.bp3-icon-widget-button::before{
+  content:""; }
+
+.bp3-icon-widget-footer::before{
+  content:""; }
+
+.bp3-icon-widget-header::before{
+  content:""; }
+
+.bp3-icon-wrench::before{
+  content:""; }
+
+.bp3-icon-zoom-in::before{
+  content:""; }
+
+.bp3-icon-zoom-out::before{
+  content:""; }
+
+.bp3-icon-zoom-to-fit::before{
+  content:""; }
+.bp3-submenu > .bp3-popover-wrapper{
+  display:block; }
+
+.bp3-submenu .bp3-popover-target{
+  display:block; }
+
+.bp3-submenu.bp3-popover{
+  -webkit-box-shadow:none;
+          box-shadow:none;
+  padding:0 5px; }
+  .bp3-submenu.bp3-popover > .bp3-popover-content{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2); }
+  .bp3-dark .bp3-submenu.bp3-popover, .bp3-submenu.bp3-popover.bp3-dark{
+    -webkit-box-shadow:none;
+            box-shadow:none; }
+    .bp3-dark .bp3-submenu.bp3-popover > .bp3-popover-content, .bp3-submenu.bp3-popover.bp3-dark > .bp3-popover-content{
+      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);
+              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4); }
+.bp3-menu{
+  margin:0;
+  border-radius:3px;
+  background:#ffffff;
+  min-width:180px;
+  padding:5px;
+  list-style:none;
+  text-align:left;
+  color:#182026; }
+
+.bp3-menu-divider{
+  display:block;
+  margin:5px;
+  border-top:1px solid rgba(16, 22, 26, 0.15); }
+  .bp3-dark .bp3-menu-divider{
+    border-top-color:rgba(255, 255, 255, 0.15); }
+
+.bp3-menu-item{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -webkit-box-orient:horizontal;
+  -webkit-box-direction:normal;
+      -ms-flex-direction:row;
+          flex-direction:row;
+  -webkit-box-align:start;
+      -ms-flex-align:start;
+          align-items:flex-start;
+  border-radius:2px;
+  padding:5px 7px;
+  text-decoration:none;
+  line-height:20px;
+  color:inherit;
+  -webkit-user-select:none;
+     -moz-user-select:none;
+      -ms-user-select:none;
+          user-select:none; }
+  .bp3-menu-item > *{
+    -webkit-box-flex:0;
+        -ms-flex-positive:0;
+            flex-grow:0;
+    -ms-flex-negative:0;
+        flex-shrink:0; }
+  .bp3-menu-item > .bp3-fill{
+    -webkit-box-flex:1;
+        -ms-flex-positive:1;
+            flex-grow:1;
+    -ms-flex-negative:1;
+        flex-shrink:1; }
+  .bp3-menu-item::before,
+  .bp3-menu-item > *{
+    margin-right:7px; }
+  .bp3-menu-item:empty::before,
+  .bp3-menu-item > :last-child{
+    margin-right:0; }
+  .bp3-menu-item > .bp3-fill{
+    word-break:break-word; }
+  .bp3-menu-item:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-menu-item{
+    background-color:rgba(167, 182, 194, 0.3);
+    cursor:pointer;
+    text-decoration:none; }
+  .bp3-menu-item.bp3-disabled{
+    background-color:inherit;
+    cursor:not-allowed;
+    color:rgba(92, 112, 128, 0.6); }
+  .bp3-dark .bp3-menu-item{
+    color:inherit; }
+    .bp3-dark .bp3-menu-item:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-menu-item{
+      background-color:rgba(138, 155, 168, 0.15);
+      color:inherit; }
+    .bp3-dark .bp3-menu-item.bp3-disabled{
+      background-color:inherit;
+      color:rgba(167, 182, 194, 0.6); }
+  .bp3-menu-item.bp3-intent-primary{
+    color:#106ba3; }
+    .bp3-menu-item.bp3-intent-primary .bp3-icon{
+      color:inherit; }
+    .bp3-menu-item.bp3-intent-primary::before, .bp3-menu-item.bp3-intent-primary::after,
+    .bp3-menu-item.bp3-intent-primary .bp3-menu-item-label{
+      color:#106ba3; }
+    .bp3-menu-item.bp3-intent-primary:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item, .bp3-menu-item.bp3-intent-primary.bp3-active{
+      background-color:#137cbd; }
+    .bp3-menu-item.bp3-intent-primary:active{
+      background-color:#106ba3; }
+    .bp3-menu-item.bp3-intent-primary:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item, .bp3-menu-item.bp3-intent-primary:hover::before, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item::before, .bp3-menu-item.bp3-intent-primary:hover::after, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item::after,
+    .bp3-menu-item.bp3-intent-primary:hover .bp3-menu-item-label,
+    .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item .bp3-menu-item-label, .bp3-menu-item.bp3-intent-primary:active, .bp3-menu-item.bp3-intent-primary:active::before, .bp3-menu-item.bp3-intent-primary:active::after,
+    .bp3-menu-item.bp3-intent-primary:active .bp3-menu-item-label, .bp3-menu-item.bp3-intent-primary.bp3-active, .bp3-menu-item.bp3-intent-primary.bp3-active::before, .bp3-menu-item.bp3-intent-primary.bp3-active::after,
+    .bp3-menu-item.bp3-intent-primary.bp3-active .bp3-menu-item-label{
+      color:#ffffff; }
+  .bp3-menu-item.bp3-intent-success{
+    color:#0d8050; }
+    .bp3-menu-item.bp3-intent-success .bp3-icon{
+      color:inherit; }
+    .bp3-menu-item.bp3-intent-success::before, .bp3-menu-item.bp3-intent-success::after,
+    .bp3-menu-item.bp3-intent-success .bp3-menu-item-label{
+      color:#0d8050; }
+    .bp3-menu-item.bp3-intent-success:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item, .bp3-menu-item.bp3-intent-success.bp3-active{
+      background-color:#0f9960; }
+    .bp3-menu-item.bp3-intent-success:active{
+      background-color:#0d8050; }
+    .bp3-menu-item.bp3-intent-success:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item, .bp3-menu-item.bp3-intent-success:hover::before, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item::before, .bp3-menu-item.bp3-intent-success:hover::after, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item::after,
+    .bp3-menu-item.bp3-intent-success:hover .bp3-menu-item-label,
+    .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item .bp3-menu-item-label, .bp3-menu-item.bp3-intent-success:active, .bp3-menu-item.bp3-intent-success:active::before, .bp3-menu-item.bp3-intent-success:active::after,
+    .bp3-menu-item.bp3-intent-success:active .bp3-menu-item-label, .bp3-menu-item.bp3-intent-success.bp3-active, .bp3-menu-item.bp3-intent-success.bp3-active::before, .bp3-menu-item.bp3-intent-success.bp3-active::after,
+    .bp3-menu-item.bp3-intent-success.bp3-active .bp3-menu-item-label{
+      color:#ffffff; }
+  .bp3-menu-item.bp3-intent-warning{
+    color:#bf7326; }
+    .bp3-menu-item.bp3-intent-warning .bp3-icon{
+      color:inherit; }
+    .bp3-menu-item.bp3-intent-warning::before, .bp3-menu-item.bp3-intent-warning::after,
+    .bp3-menu-item.bp3-intent-warning .bp3-menu-item-label{
+      color:#bf7326; }
+    .bp3-menu-item.bp3-intent-warning:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item, .bp3-menu-item.bp3-intent-warning.bp3-active{
+      background-color:#d9822b; }
+    .bp3-menu-item.bp3-intent-warning:active{
+      background-color:#bf7326; }
+    .bp3-menu-item.bp3-intent-warning:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item, .bp3-menu-item.bp3-intent-warning:hover::before, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item::before, .bp3-menu-item.bp3-intent-warning:hover::after, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item::after,
+    .bp3-menu-item.bp3-intent-warning:hover .bp3-menu-item-label,
+    .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item .bp3-menu-item-label, .bp3-menu-item.bp3-intent-warning:active, .bp3-menu-item.bp3-intent-warning:active::before, .bp3-menu-item.bp3-intent-warning:active::after,
+    .bp3-menu-item.bp3-intent-warning:active .bp3-menu-item-label, .bp3-menu-item.bp3-intent-warning.bp3-active, .bp3-menu-item.bp3-intent-warning.bp3-active::before, .bp3-menu-item.bp3-intent-warning.bp3-active::after,
+    .bp3-menu-item.bp3-intent-warning.bp3-active .bp3-menu-item-label{
+      color:#ffffff; }
+  .bp3-menu-item.bp3-intent-danger{
+    color:#c23030; }
+    .bp3-menu-item.bp3-intent-danger .bp3-icon{
+      color:inherit; }
+    .bp3-menu-item.bp3-intent-danger::before, .bp3-menu-item.bp3-intent-danger::after,
+    .bp3-menu-item.bp3-intent-danger .bp3-menu-item-label{
+      color:#c23030; }
+    .bp3-menu-item.bp3-intent-danger:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item, .bp3-menu-item.bp3-intent-danger.bp3-active{
+      background-color:#db3737; }
+    .bp3-menu-item.bp3-intent-danger:active{
+      background-color:#c23030; }
+    .bp3-menu-item.bp3-intent-danger:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item, .bp3-menu-item.bp3-intent-danger:hover::before, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item::before, .bp3-menu-item.bp3-intent-danger:hover::after, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item::after,
+    .bp3-menu-item.bp3-intent-danger:hover .bp3-menu-item-label,
+    .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item .bp3-menu-item-label, .bp3-menu-item.bp3-intent-danger:active, .bp3-menu-item.bp3-intent-danger:active::before, .bp3-menu-item.bp3-intent-danger:active::after,
+    .bp3-menu-item.bp3-intent-danger:active .bp3-menu-item-label, .bp3-menu-item.bp3-intent-danger.bp3-active, .bp3-menu-item.bp3-intent-danger.bp3-active::before, .bp3-menu-item.bp3-intent-danger.bp3-active::after,
+    .bp3-menu-item.bp3-intent-danger.bp3-active .bp3-menu-item-label{
+      color:#ffffff; }
+  .bp3-menu-item::before{
+    line-height:1;
+    font-family:"Icons16", sans-serif;
+    font-size:16px;
+    font-weight:400;
+    font-style:normal;
+    -moz-osx-font-smoothing:grayscale;
+    -webkit-font-smoothing:antialiased;
+    margin-right:7px; }
+  .bp3-menu-item::before,
+  .bp3-menu-item > .bp3-icon{
+    margin-top:2px;
+    color:#5c7080; }
+  .bp3-menu-item .bp3-menu-item-label{
+    color:#5c7080; }
+  .bp3-menu-item:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-menu-item{
+    color:inherit; }
+  .bp3-menu-item.bp3-active, .bp3-menu-item:active{
+    background-color:rgba(115, 134, 148, 0.3); }
+  .bp3-menu-item.bp3-disabled{
+    outline:none !important;
+    background-color:inherit !important;
+    cursor:not-allowed !important;
+    color:rgba(92, 112, 128, 0.6) !important; }
+    .bp3-menu-item.bp3-disabled::before,
+    .bp3-menu-item.bp3-disabled > .bp3-icon,
+    .bp3-menu-item.bp3-disabled .bp3-menu-item-label{
+      color:rgba(92, 112, 128, 0.6) !important; }
+  .bp3-large .bp3-menu-item{
+    padding:9px 7px;
+    line-height:22px;
+    font-size:16px; }
+    .bp3-large .bp3-menu-item .bp3-icon{
+      margin-top:3px; }
+    .bp3-large .bp3-menu-item::before{
+      line-height:1;
+      font-family:"Icons20", sans-serif;
+      font-size:20px;
+      font-weight:400;
+      font-style:normal;
+      -moz-osx-font-smoothing:grayscale;
+      -webkit-font-smoothing:antialiased;
+      margin-top:1px;
+      margin-right:10px; }
+
+button.bp3-menu-item{
+  border:none;
+  background:none;
+  width:100%;
+  text-align:left; }
+.bp3-menu-header{
+  display:block;
+  margin:5px;
+  border-top:1px solid rgba(16, 22, 26, 0.15);
+  cursor:default;
+  padding-left:2px; }
+  .bp3-dark .bp3-menu-header{
+    border-top-color:rgba(255, 255, 255, 0.15); }
+  .bp3-menu-header:first-of-type{
+    border-top:none; }
+  .bp3-menu-header > h6{
+    color:#182026;
+    font-weight:600;
+    overflow:hidden;
+    text-overflow:ellipsis;
+    white-space:nowrap;
+    word-wrap:normal;
+    margin:0;
+    padding:10px 7px 0 1px;
+    line-height:17px; }
+    .bp3-dark .bp3-menu-header > h6{
+      color:#f5f8fa; }
+  .bp3-menu-header:first-of-type > h6{
+    padding-top:0; }
+  .bp3-large .bp3-menu-header > h6{
+    padding-top:15px;
+    padding-bottom:5px;
+    font-size:18px; }
+  .bp3-large .bp3-menu-header:first-of-type > h6{
+    padding-top:0; }
+
+.bp3-dark .bp3-menu{
+  background:#30404d;
+  color:#f5f8fa; }
+
+.bp3-dark .bp3-menu-item.bp3-intent-primary{
+  color:#48aff0; }
+  .bp3-dark .bp3-menu-item.bp3-intent-primary .bp3-icon{
+    color:inherit; }
+  .bp3-dark .bp3-menu-item.bp3-intent-primary::before, .bp3-dark .bp3-menu-item.bp3-intent-primary::after,
+  .bp3-dark .bp3-menu-item.bp3-intent-primary .bp3-menu-item-label{
+    color:#48aff0; }
+  .bp3-dark .bp3-menu-item.bp3-intent-primary:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-primary.bp3-active{
+    background-color:#137cbd; }
+  .bp3-dark .bp3-menu-item.bp3-intent-primary:active{
+    background-color:#106ba3; }
+  .bp3-dark .bp3-menu-item.bp3-intent-primary:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-primary:hover::before, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item::before, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item::before, .bp3-dark .bp3-menu-item.bp3-intent-primary:hover::after, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item::after, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item::after,
+  .bp3-dark .bp3-menu-item.bp3-intent-primary:hover .bp3-menu-item-label,
+  .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item .bp3-menu-item-label,
+  .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-primary:active, .bp3-dark .bp3-menu-item.bp3-intent-primary:active::before, .bp3-dark .bp3-menu-item.bp3-intent-primary:active::after,
+  .bp3-dark .bp3-menu-item.bp3-intent-primary:active .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-primary.bp3-active, .bp3-dark .bp3-menu-item.bp3-intent-primary.bp3-active::before, .bp3-dark .bp3-menu-item.bp3-intent-primary.bp3-active::after,
+  .bp3-dark .bp3-menu-item.bp3-intent-primary.bp3-active .bp3-menu-item-label{
+    color:#ffffff; }
+
+.bp3-dark .bp3-menu-item.bp3-intent-success{
+  color:#3dcc91; }
+  .bp3-dark .bp3-menu-item.bp3-intent-success .bp3-icon{
+    color:inherit; }
+  .bp3-dark .bp3-menu-item.bp3-intent-success::before, .bp3-dark .bp3-menu-item.bp3-intent-success::after,
+  .bp3-dark .bp3-menu-item.bp3-intent-success .bp3-menu-item-label{
+    color:#3dcc91; }
+  .bp3-dark .bp3-menu-item.bp3-intent-success:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-success.bp3-active{
+    background-color:#0f9960; }
+  .bp3-dark .bp3-menu-item.bp3-intent-success:active{
+    background-color:#0d8050; }
+  .bp3-dark .bp3-menu-item.bp3-intent-success:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-success:hover::before, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item::before, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item::before, .bp3-dark .bp3-menu-item.bp3-intent-success:hover::after, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item::after, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item::after,
+  .bp3-dark .bp3-menu-item.bp3-intent-success:hover .bp3-menu-item-label,
+  .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item .bp3-menu-item-label,
+  .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-success:active, .bp3-dark .bp3-menu-item.bp3-intent-success:active::before, .bp3-dark .bp3-menu-item.bp3-intent-success:active::after,
+  .bp3-dark .bp3-menu-item.bp3-intent-success:active .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-success.bp3-active, .bp3-dark .bp3-menu-item.bp3-intent-success.bp3-active::before, .bp3-dark .bp3-menu-item.bp3-intent-success.bp3-active::after,
+  .bp3-dark .bp3-menu-item.bp3-intent-success.bp3-active .bp3-menu-item-label{
+    color:#ffffff; }
+
+.bp3-dark .bp3-menu-item.bp3-intent-warning{
+  color:#ffb366; }
+  .bp3-dark .bp3-menu-item.bp3-intent-warning .bp3-icon{
+    color:inherit; }
+  .bp3-dark .bp3-menu-item.bp3-intent-warning::before, .bp3-dark .bp3-menu-item.bp3-intent-warning::after,
+  .bp3-dark .bp3-menu-item.bp3-intent-warning .bp3-menu-item-label{
+    color:#ffb366; }
+  .bp3-dark .bp3-menu-item.bp3-intent-warning:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-warning.bp3-active{
+    background-color:#d9822b; }
+  .bp3-dark .bp3-menu-item.bp3-intent-warning:active{
+    background-color:#bf7326; }
+  .bp3-dark .bp3-menu-item.bp3-intent-warning:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-warning:hover::before, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item::before, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item::before, .bp3-dark .bp3-menu-item.bp3-intent-warning:hover::after, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item::after, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item::after,
+  .bp3-dark .bp3-menu-item.bp3-intent-warning:hover .bp3-menu-item-label,
+  .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item .bp3-menu-item-label,
+  .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-warning:active, .bp3-dark .bp3-menu-item.bp3-intent-warning:active::before, .bp3-dark .bp3-menu-item.bp3-intent-warning:active::after,
+  .bp3-dark .bp3-menu-item.bp3-intent-warning:active .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-warning.bp3-active, .bp3-dark .bp3-menu-item.bp3-intent-warning.bp3-active::before, .bp3-dark .bp3-menu-item.bp3-intent-warning.bp3-active::after,
+  .bp3-dark .bp3-menu-item.bp3-intent-warning.bp3-active .bp3-menu-item-label{
+    color:#ffffff; }
+
+.bp3-dark .bp3-menu-item.bp3-intent-danger{
+  color:#ff7373; }
+  .bp3-dark .bp3-menu-item.bp3-intent-danger .bp3-icon{
+    color:inherit; }
+  .bp3-dark .bp3-menu-item.bp3-intent-danger::before, .bp3-dark .bp3-menu-item.bp3-intent-danger::after,
+  .bp3-dark .bp3-menu-item.bp3-intent-danger .bp3-menu-item-label{
+    color:#ff7373; }
+  .bp3-dark .bp3-menu-item.bp3-intent-danger:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-danger.bp3-active{
+    background-color:#db3737; }
+  .bp3-dark .bp3-menu-item.bp3-intent-danger:active{
+    background-color:#c23030; }
+  .bp3-dark .bp3-menu-item.bp3-intent-danger:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-danger:hover::before, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item::before, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item::before, .bp3-dark .bp3-menu-item.bp3-intent-danger:hover::after, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item::after, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item::after,
+  .bp3-dark .bp3-menu-item.bp3-intent-danger:hover .bp3-menu-item-label,
+  .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item .bp3-menu-item-label,
+  .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-danger:active, .bp3-dark .bp3-menu-item.bp3-intent-danger:active::before, .bp3-dark .bp3-menu-item.bp3-intent-danger:active::after,
+  .bp3-dark .bp3-menu-item.bp3-intent-danger:active .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-danger.bp3-active, .bp3-dark .bp3-menu-item.bp3-intent-danger.bp3-active::before, .bp3-dark .bp3-menu-item.bp3-intent-danger.bp3-active::after,
+  .bp3-dark .bp3-menu-item.bp3-intent-danger.bp3-active .bp3-menu-item-label{
+    color:#ffffff; }
+
+.bp3-dark .bp3-menu-item::before,
+.bp3-dark .bp3-menu-item > .bp3-icon{
+  color:#a7b6c2; }
+
+.bp3-dark .bp3-menu-item .bp3-menu-item-label{
+  color:#a7b6c2; }
+
+.bp3-dark .bp3-menu-item.bp3-active, .bp3-dark .bp3-menu-item:active{
+  background-color:rgba(138, 155, 168, 0.3); }
+
+.bp3-dark .bp3-menu-item.bp3-disabled{
+  color:rgba(167, 182, 194, 0.6) !important; }
+  .bp3-dark .bp3-menu-item.bp3-disabled::before,
+  .bp3-dark .bp3-menu-item.bp3-disabled > .bp3-icon,
+  .bp3-dark .bp3-menu-item.bp3-disabled .bp3-menu-item-label{
+    color:rgba(167, 182, 194, 0.6) !important; }
+
+.bp3-dark .bp3-menu-divider,
+.bp3-dark .bp3-menu-header{
+  border-color:rgba(255, 255, 255, 0.15); }
+
+.bp3-dark .bp3-menu-header > h6{
+  color:#f5f8fa; }
+
+.bp3-label .bp3-menu{
+  margin-top:5px; }
+.bp3-navbar{
+  position:relative;
+  z-index:10;
+  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.2);
+          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.2);
+  background-color:#ffffff;
+  width:100%;
+  height:50px;
+  padding:0 15px; }
+  .bp3-navbar.bp3-dark,
+  .bp3-dark .bp3-navbar{
+    background-color:#394b59; }
+  .bp3-navbar.bp3-dark{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4); }
+  .bp3-dark .bp3-navbar{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4); }
+  .bp3-navbar.bp3-fixed-top{
+    position:fixed;
+    top:0;
+    right:0;
+    left:0; }
+
+.bp3-navbar-heading{
+  margin-right:15px;
+  font-size:16px; }
+
+.bp3-navbar-group{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -webkit-box-align:center;
+      -ms-flex-align:center;
+          align-items:center;
+  height:50px; }
+  .bp3-navbar-group.bp3-align-left{
+    float:left; }
+  .bp3-navbar-group.bp3-align-right{
+    float:right; }
+
+.bp3-navbar-divider{
+  margin:0 10px;
+  border-left:1px solid rgba(16, 22, 26, 0.15);
+  height:20px; }
+  .bp3-dark .bp3-navbar-divider{
+    border-left-color:rgba(255, 255, 255, 0.15); }
+.bp3-non-ideal-state{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -webkit-box-orient:vertical;
+  -webkit-box-direction:normal;
+      -ms-flex-direction:column;
+          flex-direction:column;
+  -webkit-box-align:center;
+      -ms-flex-align:center;
+          align-items:center;
+  -webkit-box-pack:center;
+      -ms-flex-pack:center;
+          justify-content:center;
+  width:100%;
+  height:100%;
+  text-align:center; }
+  .bp3-non-ideal-state > *{
+    -webkit-box-flex:0;
+        -ms-flex-positive:0;
+            flex-grow:0;
+    -ms-flex-negative:0;
+        flex-shrink:0; }
+  .bp3-non-ideal-state > .bp3-fill{
+    -webkit-box-flex:1;
+        -ms-flex-positive:1;
+            flex-grow:1;
+    -ms-flex-negative:1;
+        flex-shrink:1; }
+  .bp3-non-ideal-state::before,
+  .bp3-non-ideal-state > *{
+    margin-bottom:20px; }
+  .bp3-non-ideal-state:empty::before,
+  .bp3-non-ideal-state > :last-child{
+    margin-bottom:0; }
+  .bp3-non-ideal-state > *{
+    max-width:400px; }
+
+.bp3-non-ideal-state-visual{
+  color:rgba(92, 112, 128, 0.6);
+  font-size:60px; }
+  .bp3-dark .bp3-non-ideal-state-visual{
+    color:rgba(167, 182, 194, 0.6); }
+
+.bp3-overflow-list{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -ms-flex-wrap:nowrap;
+      flex-wrap:nowrap;
+  min-width:0; }
+
+.bp3-overflow-list-spacer{
+  -ms-flex-negative:1;
+      flex-shrink:1;
+  width:1px; }
+
+body.bp3-overlay-open{
+  overflow:hidden; }
+
+.bp3-overlay{
+  position:static;
+  top:0;
+  right:0;
+  bottom:0;
+  left:0;
+  z-index:20; }
+  .bp3-overlay:not(.bp3-overlay-open){
+    pointer-events:none; }
+  .bp3-overlay.bp3-overlay-container{
+    position:fixed;
+    overflow:hidden; }
+    .bp3-overlay.bp3-overlay-container.bp3-overlay-inline{
+      position:absolute; }
+  .bp3-overlay.bp3-overlay-scroll-container{
+    position:fixed;
+    overflow:auto; }
+    .bp3-overlay.bp3-overlay-scroll-container.bp3-overlay-inline{
+      position:absolute; }
+  .bp3-overlay.bp3-overlay-inline{
+    display:inline;
+    overflow:visible; }
+
+.bp3-overlay-content{
+  position:fixed;
+  z-index:20; }
+  .bp3-overlay-inline .bp3-overlay-content,
+  .bp3-overlay-scroll-container .bp3-overlay-content{
+    position:absolute; }
+
+.bp3-overlay-backdrop{
+  position:fixed;
+  top:0;
+  right:0;
+  bottom:0;
+  left:0;
+  opacity:1;
+  z-index:20;
+  background-color:rgba(16, 22, 26, 0.7);
+  overflow:auto;
+  -webkit-user-select:none;
+     -moz-user-select:none;
+      -ms-user-select:none;
+          user-select:none; }
+  .bp3-overlay-backdrop.bp3-overlay-enter, .bp3-overlay-backdrop.bp3-overlay-appear{
+    opacity:0; }
+  .bp3-overlay-backdrop.bp3-overlay-enter-active, .bp3-overlay-backdrop.bp3-overlay-appear-active{
+    opacity:1;
+    -webkit-transition-property:opacity;
+    transition-property:opacity;
+    -webkit-transition-duration:200ms;
+            transition-duration:200ms;
+    -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+    -webkit-transition-delay:0;
+            transition-delay:0; }
+  .bp3-overlay-backdrop.bp3-overlay-exit{
+    opacity:1; }
+  .bp3-overlay-backdrop.bp3-overlay-exit-active{
+    opacity:0;
+    -webkit-transition-property:opacity;
+    transition-property:opacity;
+    -webkit-transition-duration:200ms;
+            transition-duration:200ms;
+    -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+    -webkit-transition-delay:0;
+            transition-delay:0; }
+  .bp3-overlay-backdrop:focus{
+    outline:none; }
+  .bp3-overlay-inline .bp3-overlay-backdrop{
+    position:absolute; }
+.bp3-panel-stack{
+  position:relative;
+  overflow:hidden; }
+
+.bp3-panel-stack-header{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -ms-flex-negative:0;
+      flex-shrink:0;
+  -webkit-box-align:center;
+      -ms-flex-align:center;
+          align-items:center;
+  z-index:1;
+  -webkit-box-shadow:0 1px rgba(16, 22, 26, 0.15);
+          box-shadow:0 1px rgba(16, 22, 26, 0.15);
+  height:30px; }
+  .bp3-dark .bp3-panel-stack-header{
+    -webkit-box-shadow:0 1px rgba(255, 255, 255, 0.15);
+            box-shadow:0 1px rgba(255, 255, 255, 0.15); }
+  .bp3-panel-stack-header > span{
+    display:-webkit-box;
+    display:-ms-flexbox;
+    display:flex;
+    -webkit-box-flex:1;
+        -ms-flex:1;
+            flex:1;
+    -webkit-box-align:stretch;
+        -ms-flex-align:stretch;
+            align-items:stretch; }
+  .bp3-panel-stack-header .bp3-heading{
+    margin:0 5px; }
+
+.bp3-button.bp3-panel-stack-header-back{
+  margin-left:5px;
+  padding-left:0;
+  white-space:nowrap; }
+  .bp3-button.bp3-panel-stack-header-back .bp3-icon{
+    margin:0 2px; }
+
+.bp3-panel-stack-view{
+  position:absolute;
+  top:0;
+  right:0;
+  bottom:0;
+  left:0;
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -webkit-box-orient:vertical;
+  -webkit-box-direction:normal;
+      -ms-flex-direction:column;
+          flex-direction:column;
+  margin-right:-1px;
+  border-right:1px solid rgba(16, 22, 26, 0.15);
+  background-color:#ffffff;
+  overflow-y:auto; }
+  .bp3-dark .bp3-panel-stack-view{
+    background-color:#30404d; }
+
+.bp3-panel-stack-push .bp3-panel-stack-enter, .bp3-panel-stack-push .bp3-panel-stack-appear{
+  -webkit-transform:translateX(100%);
+          transform:translateX(100%);
+  opacity:0; }
+
+.bp3-panel-stack-push .bp3-panel-stack-enter-active, .bp3-panel-stack-push .bp3-panel-stack-appear-active{
+  -webkit-transform:translate(0%);
+          transform:translate(0%);
+  opacity:1;
+  -webkit-transition-property:opacity, -webkit-transform;
+  transition-property:opacity, -webkit-transform;
+  transition-property:transform, opacity;
+  transition-property:transform, opacity, -webkit-transform;
+  -webkit-transition-duration:400ms;
+          transition-duration:400ms;
+  -webkit-transition-timing-function:ease;
+          transition-timing-function:ease;
+  -webkit-transition-delay:0;
+          transition-delay:0; }
+
+.bp3-panel-stack-push .bp3-panel-stack-exit{
+  -webkit-transform:translate(0%);
+          transform:translate(0%);
+  opacity:1; }
+
+.bp3-panel-stack-push .bp3-panel-stack-exit-active{
+  -webkit-transform:translateX(-50%);
+          transform:translateX(-50%);
+  opacity:0;
+  -webkit-transition-property:opacity, -webkit-transform;
+  transition-property:opacity, -webkit-transform;
+  transition-property:transform, opacity;
+  transition-property:transform, opacity, -webkit-transform;
+  -webkit-transition-duration:400ms;
+          transition-duration:400ms;
+  -webkit-transition-timing-function:ease;
+          transition-timing-function:ease;
+  -webkit-transition-delay:0;
+          transition-delay:0; }
+
+.bp3-panel-stack-pop .bp3-panel-stack-enter, .bp3-panel-stack-pop .bp3-panel-stack-appear{
+  -webkit-transform:translateX(-50%);
+          transform:translateX(-50%);
+  opacity:0; }
+
+.bp3-panel-stack-pop .bp3-panel-stack-enter-active, .bp3-panel-stack-pop .bp3-panel-stack-appear-active{
+  -webkit-transform:translate(0%);
+          transform:translate(0%);
+  opacity:1;
+  -webkit-transition-property:opacity, -webkit-transform;
+  transition-property:opacity, -webkit-transform;
+  transition-property:transform, opacity;
+  transition-property:transform, opacity, -webkit-transform;
+  -webkit-transition-duration:400ms;
+          transition-duration:400ms;
+  -webkit-transition-timing-function:ease;
+          transition-timing-function:ease;
+  -webkit-transition-delay:0;
+          transition-delay:0; }
+
+.bp3-panel-stack-pop .bp3-panel-stack-exit{
+  -webkit-transform:translate(0%);
+          transform:translate(0%);
+  opacity:1; }
+
+.bp3-panel-stack-pop .bp3-panel-stack-exit-active{
+  -webkit-transform:translateX(100%);
+          transform:translateX(100%);
+  opacity:0;
+  -webkit-transition-property:opacity, -webkit-transform;
+  transition-property:opacity, -webkit-transform;
+  transition-property:transform, opacity;
+  transition-property:transform, opacity, -webkit-transform;
+  -webkit-transition-duration:400ms;
+          transition-duration:400ms;
+  -webkit-transition-timing-function:ease;
+          transition-timing-function:ease;
+  -webkit-transition-delay:0;
+          transition-delay:0; }
+.bp3-popover{
+  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);
+          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);
+  -webkit-transform:scale(1);
+          transform:scale(1);
+  display:inline-block;
+  z-index:20;
+  border-radius:3px; }
+  .bp3-popover .bp3-popover-arrow{
+    position:absolute;
+    width:30px;
+    height:30px; }
+    .bp3-popover .bp3-popover-arrow::before{
+      margin:5px;
+      width:20px;
+      height:20px; }
+  .bp3-tether-element-attached-bottom.bp3-tether-target-attached-top > .bp3-popover{
+    margin-top:-17px;
+    margin-bottom:17px; }
+    .bp3-tether-element-attached-bottom.bp3-tether-target-attached-top > .bp3-popover > .bp3-popover-arrow{
+      bottom:-11px; }
+      .bp3-tether-element-attached-bottom.bp3-tether-target-attached-top > .bp3-popover > .bp3-popover-arrow svg{
+        -webkit-transform:rotate(-90deg);
+                transform:rotate(-90deg); }
+  .bp3-tether-element-attached-left.bp3-tether-target-attached-right > .bp3-popover{
+    margin-left:17px; }
+    .bp3-tether-element-attached-left.bp3-tether-target-attached-right > .bp3-popover > .bp3-popover-arrow{
+      left:-11px; }
+      .bp3-tether-element-attached-left.bp3-tether-target-attached-right > .bp3-popover > .bp3-popover-arrow svg{
+        -webkit-transform:rotate(0);
+                transform:rotate(0); }
+  .bp3-tether-element-attached-top.bp3-tether-target-attached-bottom > .bp3-popover{
+    margin-top:17px; }
+    .bp3-tether-element-attached-top.bp3-tether-target-attached-bottom > .bp3-popover > .bp3-popover-arrow{
+      top:-11px; }
+      .bp3-tether-element-attached-top.bp3-tether-target-attached-bottom > .bp3-popover > .bp3-popover-arrow svg{
+        -webkit-transform:rotate(90deg);
+                transform:rotate(90deg); }
+  .bp3-tether-element-attached-right.bp3-tether-target-attached-left > .bp3-popover{
+    margin-right:17px;
+    margin-left:-17px; }
+    .bp3-tether-element-attached-right.bp3-tether-target-attached-left > .bp3-popover > .bp3-popover-arrow{
+      right:-11px; }
+      .bp3-tether-element-attached-right.bp3-tether-target-attached-left > .bp3-popover > .bp3-popover-arrow svg{
+        -webkit-transform:rotate(180deg);
+                transform:rotate(180deg); }
+  .bp3-tether-element-attached-middle > .bp3-popover > .bp3-popover-arrow{
+    top:50%;
+    -webkit-transform:translateY(-50%);
+            transform:translateY(-50%); }
+  .bp3-tether-element-attached-center > .bp3-popover > .bp3-popover-arrow{
+    right:50%;
+    -webkit-transform:translateX(50%);
+            transform:translateX(50%); }
+  .bp3-tether-element-attached-top.bp3-tether-target-attached-top > .bp3-popover > .bp3-popover-arrow{
+    top:-0.3934px; }
+  .bp3-tether-element-attached-right.bp3-tether-target-attached-right > .bp3-popover > .bp3-popover-arrow{
+    right:-0.3934px; }
+  .bp3-tether-element-attached-left.bp3-tether-target-attached-left > .bp3-popover > .bp3-popover-arrow{
+    left:-0.3934px; }
+  .bp3-tether-element-attached-bottom.bp3-tether-target-attached-bottom > .bp3-popover > .bp3-popover-arrow{
+    bottom:-0.3934px; }
+  .bp3-tether-element-attached-top.bp3-tether-element-attached-left > .bp3-popover{
+    -webkit-transform-origin:top left;
+            transform-origin:top left; }
+  .bp3-tether-element-attached-top.bp3-tether-element-attached-center > .bp3-popover{
+    -webkit-transform-origin:top center;
+            transform-origin:top center; }
+  .bp3-tether-element-attached-top.bp3-tether-element-attached-right > .bp3-popover{
+    -webkit-transform-origin:top right;
+            transform-origin:top right; }
+  .bp3-tether-element-attached-middle.bp3-tether-element-attached-left > .bp3-popover{
+    -webkit-transform-origin:center left;
+            transform-origin:center left; }
+  .bp3-tether-element-attached-middle.bp3-tether-element-attached-center > .bp3-popover{
+    -webkit-transform-origin:center center;
+            transform-origin:center center; }
+  .bp3-tether-element-attached-middle.bp3-tether-element-attached-right > .bp3-popover{
+    -webkit-transform-origin:center right;
+            transform-origin:center right; }
+  .bp3-tether-element-attached-bottom.bp3-tether-element-attached-left > .bp3-popover{
+    -webkit-transform-origin:bottom left;
+            transform-origin:bottom left; }
+  .bp3-tether-element-attached-bottom.bp3-tether-element-attached-center > .bp3-popover{
+    -webkit-transform-origin:bottom center;
+            transform-origin:bottom center; }
+  .bp3-tether-element-attached-bottom.bp3-tether-element-attached-right > .bp3-popover{
+    -webkit-transform-origin:bottom right;
+            transform-origin:bottom right; }
+  .bp3-popover .bp3-popover-content{
+    background:#ffffff;
+    color:inherit; }
+  .bp3-popover .bp3-popover-arrow::before{
+    -webkit-box-shadow:1px 1px 6px rgba(16, 22, 26, 0.2);
+            box-shadow:1px 1px 6px rgba(16, 22, 26, 0.2); }
+  .bp3-popover .bp3-popover-arrow-border{
+    fill:#10161a;
+    fill-opacity:0.1; }
+  .bp3-popover .bp3-popover-arrow-fill{
+    fill:#ffffff; }
+  .bp3-popover-enter > .bp3-popover, .bp3-popover-appear > .bp3-popover{
+    -webkit-transform:scale(0.3);
+            transform:scale(0.3); }
+  .bp3-popover-enter-active > .bp3-popover, .bp3-popover-appear-active > .bp3-popover{
+    -webkit-transform:scale(1);
+            transform:scale(1);
+    -webkit-transition-property:-webkit-transform;
+    transition-property:-webkit-transform;
+    transition-property:transform;
+    transition-property:transform, -webkit-transform;
+    -webkit-transition-duration:300ms;
+            transition-duration:300ms;
+    -webkit-transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);
+            transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);
+    -webkit-transition-delay:0;
+            transition-delay:0; }
+  .bp3-popover-exit > .bp3-popover{
+    -webkit-transform:scale(1);
+            transform:scale(1); }
+  .bp3-popover-exit-active > .bp3-popover{
+    -webkit-transform:scale(0.3);
+            transform:scale(0.3);
+    -webkit-transition-property:-webkit-transform;
+    transition-property:-webkit-transform;
+    transition-property:transform;
+    transition-property:transform, -webkit-transform;
+    -webkit-transition-duration:300ms;
+            transition-duration:300ms;
+    -webkit-transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);
+            transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);
+    -webkit-transition-delay:0;
+            transition-delay:0; }
+  .bp3-popover .bp3-popover-content{
+    position:relative;
+    border-radius:3px; }
+  .bp3-popover.bp3-popover-content-sizing .bp3-popover-content{
+    max-width:350px;
+    padding:20px; }
+  .bp3-popover-target + .bp3-overlay .bp3-popover.bp3-popover-content-sizing{
+    width:350px; }
+  .bp3-popover.bp3-minimal{
+    margin:0 !important; }
+    .bp3-popover.bp3-minimal .bp3-popover-arrow{
+      display:none; }
+    .bp3-popover.bp3-minimal.bp3-popover{
+      -webkit-transform:scale(1);
+              transform:scale(1); }
+      .bp3-popover-enter > .bp3-popover.bp3-minimal.bp3-popover, .bp3-popover-appear > .bp3-popover.bp3-minimal.bp3-popover{
+        -webkit-transform:scale(1);
+                transform:scale(1); }
+      .bp3-popover-enter-active > .bp3-popover.bp3-minimal.bp3-popover, .bp3-popover-appear-active > .bp3-popover.bp3-minimal.bp3-popover{
+        -webkit-transform:scale(1);
+                transform:scale(1);
+        -webkit-transition-property:-webkit-transform;
+        transition-property:-webkit-transform;
+        transition-property:transform;
+        transition-property:transform, -webkit-transform;
+        -webkit-transition-duration:100ms;
+                transition-duration:100ms;
+        -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+                transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+        -webkit-transition-delay:0;
+                transition-delay:0; }
+      .bp3-popover-exit > .bp3-popover.bp3-minimal.bp3-popover{
+        -webkit-transform:scale(1);
+                transform:scale(1); }
+      .bp3-popover-exit-active > .bp3-popover.bp3-minimal.bp3-popover{
+        -webkit-transform:scale(1);
+                transform:scale(1);
+        -webkit-transition-property:-webkit-transform;
+        transition-property:-webkit-transform;
+        transition-property:transform;
+        transition-property:transform, -webkit-transform;
+        -webkit-transition-duration:100ms;
+                transition-duration:100ms;
+        -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+                transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+        -webkit-transition-delay:0;
+                transition-delay:0; }
+  .bp3-popover.bp3-dark,
+  .bp3-dark .bp3-popover{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4); }
+    .bp3-popover.bp3-dark .bp3-popover-content,
+    .bp3-dark .bp3-popover .bp3-popover-content{
+      background:#30404d;
+      color:inherit; }
+    .bp3-popover.bp3-dark .bp3-popover-arrow::before,
+    .bp3-dark .bp3-popover .bp3-popover-arrow::before{
+      -webkit-box-shadow:1px 1px 6px rgba(16, 22, 26, 0.4);
+              box-shadow:1px 1px 6px rgba(16, 22, 26, 0.4); }
+    .bp3-popover.bp3-dark .bp3-popover-arrow-border,
+    .bp3-dark .bp3-popover .bp3-popover-arrow-border{
+      fill:#10161a;
+      fill-opacity:0.2; }
+    .bp3-popover.bp3-dark .bp3-popover-arrow-fill,
+    .bp3-dark .bp3-popover .bp3-popover-arrow-fill{
+      fill:#30404d; }
+
+.bp3-popover-arrow::before{
+  display:block;
+  position:absolute;
+  -webkit-transform:rotate(45deg);
+          transform:rotate(45deg);
+  border-radius:2px;
+  content:""; }
+
+.bp3-tether-pinned .bp3-popover-arrow{
+  display:none; }
+
+.bp3-popover-backdrop{
+  background:rgba(255, 255, 255, 0); }
+
+.bp3-transition-container{
+  opacity:1;
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  z-index:20; }
+  .bp3-transition-container.bp3-popover-enter, .bp3-transition-container.bp3-popover-appear{
+    opacity:0; }
+  .bp3-transition-container.bp3-popover-enter-active, .bp3-transition-container.bp3-popover-appear-active{
+    opacity:1;
+    -webkit-transition-property:opacity;
+    transition-property:opacity;
+    -webkit-transition-duration:100ms;
+            transition-duration:100ms;
+    -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+    -webkit-transition-delay:0;
+            transition-delay:0; }
+  .bp3-transition-container.bp3-popover-exit{
+    opacity:1; }
+  .bp3-transition-container.bp3-popover-exit-active{
+    opacity:0;
+    -webkit-transition-property:opacity;
+    transition-property:opacity;
+    -webkit-transition-duration:100ms;
+            transition-duration:100ms;
+    -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+    -webkit-transition-delay:0;
+            transition-delay:0; }
+  .bp3-transition-container:focus{
+    outline:none; }
+  .bp3-transition-container.bp3-popover-leave .bp3-popover-content{
+    pointer-events:none; }
+  .bp3-transition-container[data-x-out-of-boundaries]{
+    display:none; }
+
+span.bp3-popover-target{
+  display:inline-block; }
+
+.bp3-popover-wrapper.bp3-fill{
+  width:100%; }
+
+.bp3-portal{
+  position:absolute;
+  top:0;
+  right:0;
+  left:0; }
+@-webkit-keyframes linear-progress-bar-stripes{
+  from{
+    background-position:0 0; }
+  to{
+    background-position:30px 0; } }
+@keyframes linear-progress-bar-stripes{
+  from{
+    background-position:0 0; }
+  to{
+    background-position:30px 0; } }
+
+.bp3-progress-bar{
+  display:block;
+  position:relative;
+  border-radius:40px;
+  background:rgba(92, 112, 128, 0.2);
+  width:100%;
+  height:8px;
+  overflow:hidden; }
+  .bp3-progress-bar .bp3-progress-meter{
+    position:absolute;
+    border-radius:40px;
+    background:linear-gradient(-45deg, rgba(255, 255, 255, 0.2) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.2) 50%, rgba(255, 255, 255, 0.2) 75%, transparent 75%);
+    background-color:rgba(92, 112, 128, 0.8);
+    background-size:30px 30px;
+    width:100%;
+    height:100%;
+    -webkit-transition:width 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
+    transition:width 200ms cubic-bezier(0.4, 1, 0.75, 0.9); }
+  .bp3-progress-bar:not(.bp3-no-animation):not(.bp3-no-stripes) .bp3-progress-meter{
+    animation:linear-progress-bar-stripes 300ms linear infinite reverse; }
+  .bp3-progress-bar.bp3-no-stripes .bp3-progress-meter{
+    background-image:none; }
+
+.bp3-dark .bp3-progress-bar{
+  background:rgba(16, 22, 26, 0.5); }
+  .bp3-dark .bp3-progress-bar .bp3-progress-meter{
+    background-color:#8a9ba8; }
+
+.bp3-progress-bar.bp3-intent-primary .bp3-progress-meter{
+  background-color:#137cbd; }
+
+.bp3-progress-bar.bp3-intent-success .bp3-progress-meter{
+  background-color:#0f9960; }
+
+.bp3-progress-bar.bp3-intent-warning .bp3-progress-meter{
+  background-color:#d9822b; }
+
+.bp3-progress-bar.bp3-intent-danger .bp3-progress-meter{
+  background-color:#db3737; }
+@-webkit-keyframes skeleton-glow{
+  from{
+    border-color:rgba(206, 217, 224, 0.2);
+    background:rgba(206, 217, 224, 0.2); }
+  to{
+    border-color:rgba(92, 112, 128, 0.2);
+    background:rgba(92, 112, 128, 0.2); } }
+@keyframes skeleton-glow{
+  from{
+    border-color:rgba(206, 217, 224, 0.2);
+    background:rgba(206, 217, 224, 0.2); }
+  to{
+    border-color:rgba(92, 112, 128, 0.2);
+    background:rgba(92, 112, 128, 0.2); } }
+.bp3-skeleton{
+  border-color:rgba(206, 217, 224, 0.2) !important;
+  border-radius:2px;
+  -webkit-box-shadow:none !important;
+          box-shadow:none !important;
+  background:rgba(206, 217, 224, 0.2);
+  background-clip:padding-box !important;
+  cursor:default;
+  color:transparent !important;
+  -webkit-animation:1000ms linear infinite alternate skeleton-glow;
+          animation:1000ms linear infinite alternate skeleton-glow;
+  pointer-events:none;
+  -webkit-user-select:none;
+     -moz-user-select:none;
+      -ms-user-select:none;
+          user-select:none; }
+  .bp3-skeleton::before, .bp3-skeleton::after,
+  .bp3-skeleton *{
+    visibility:hidden !important; }
+.bp3-slider{
+  width:100%;
+  min-width:150px;
+  height:40px;
+  position:relative;
+  outline:none;
+  cursor:default;
+  -webkit-user-select:none;
+     -moz-user-select:none;
+      -ms-user-select:none;
+          user-select:none; }
+  .bp3-slider:hover{
+    cursor:pointer; }
+  .bp3-slider:active{
+    cursor:-webkit-grabbing;
+    cursor:grabbing; }
+  .bp3-slider.bp3-disabled{
+    opacity:0.5;
+    cursor:not-allowed; }
+  .bp3-slider.bp3-slider-unlabeled{
+    height:16px; }
+
+.bp3-slider-track,
+.bp3-slider-progress{
+  top:5px;
+  right:0;
+  left:0;
+  height:6px;
+  position:absolute; }
+
+.bp3-slider-track{
+  border-radius:3px;
+  overflow:hidden; }
+
+.bp3-slider-progress{
+  background:rgba(92, 112, 128, 0.2); }
+  .bp3-dark .bp3-slider-progress{
+    background:rgba(16, 22, 26, 0.5); }
+  .bp3-slider-progress.bp3-intent-primary{
+    background-color:#137cbd; }
+  .bp3-slider-progress.bp3-intent-success{
+    background-color:#0f9960; }
+  .bp3-slider-progress.bp3-intent-warning{
+    background-color:#d9822b; }
+  .bp3-slider-progress.bp3-intent-danger{
+    background-color:#db3737; }
+
+.bp3-slider-handle{
+  -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+          box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+  background-color:#f5f8fa;
+  background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.8)), to(rgba(255, 255, 255, 0)));
+  background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.8), rgba(255, 255, 255, 0));
+  color:#182026;
+  position:absolute;
+  top:0;
+  left:0;
+  border-radius:3px;
+  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 1px 1px rgba(16, 22, 26, 0.2);
+          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 1px 1px rgba(16, 22, 26, 0.2);
+  cursor:pointer;
+  width:16px;
+  height:16px; }
+  .bp3-slider-handle:hover{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+    background-clip:padding-box;
+    background-color:#ebf1f5; }
+  .bp3-slider-handle:active, .bp3-slider-handle.bp3-active{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+    background-color:#d8e1e8;
+    background-image:none; }
+  .bp3-slider-handle:disabled, .bp3-slider-handle.bp3-disabled{
+    outline:none;
+    -webkit-box-shadow:none;
+            box-shadow:none;
+    background-color:rgba(206, 217, 224, 0.5);
+    background-image:none;
+    cursor:not-allowed;
+    color:rgba(92, 112, 128, 0.6); }
+    .bp3-slider-handle:disabled.bp3-active, .bp3-slider-handle:disabled.bp3-active:hover, .bp3-slider-handle.bp3-disabled.bp3-active, .bp3-slider-handle.bp3-disabled.bp3-active:hover{
+      background:rgba(206, 217, 224, 0.7); }
+  .bp3-slider-handle:focus{
+    z-index:1; }
+  .bp3-slider-handle:hover{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
+    background-clip:padding-box;
+    background-color:#ebf1f5;
+    z-index:2;
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 1px 1px rgba(16, 22, 26, 0.2);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 1px 1px rgba(16, 22, 26, 0.2);
+    cursor:-webkit-grab;
+    cursor:grab; }
+  .bp3-slider-handle.bp3-active{
+    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+    background-color:#d8e1e8;
+    background-image:none;
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 1px rgba(16, 22, 26, 0.1);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 1px rgba(16, 22, 26, 0.1);
+    cursor:-webkit-grabbing;
+    cursor:grabbing; }
+  .bp3-disabled .bp3-slider-handle{
+    -webkit-box-shadow:none;
+            box-shadow:none;
+    background:#bfccd6;
+    pointer-events:none; }
+  .bp3-dark .bp3-slider-handle{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+    background-color:#394b59;
+    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.05)), to(rgba(255, 255, 255, 0)));
+    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.05), rgba(255, 255, 255, 0));
+    color:#f5f8fa; }
+    .bp3-dark .bp3-slider-handle:hover, .bp3-dark .bp3-slider-handle:active, .bp3-dark .bp3-slider-handle.bp3-active{
+      color:#f5f8fa; }
+    .bp3-dark .bp3-slider-handle:hover{
+      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
+      background-color:#30404d; }
+    .bp3-dark .bp3-slider-handle:active, .bp3-dark .bp3-slider-handle.bp3-active{
+      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
+      background-color:#202b33;
+      background-image:none; }
+    .bp3-dark .bp3-slider-handle:disabled, .bp3-dark .bp3-slider-handle.bp3-disabled{
+      -webkit-box-shadow:none;
+              box-shadow:none;
+      background-color:rgba(57, 75, 89, 0.5);
+      background-image:none;
+      color:rgba(167, 182, 194, 0.6); }
+      .bp3-dark .bp3-slider-handle:disabled.bp3-active, .bp3-dark .bp3-slider-handle.bp3-disabled.bp3-active{
+        background:rgba(57, 75, 89, 0.7); }
+    .bp3-dark .bp3-slider-handle .bp3-button-spinner .bp3-spinner-head{
+      background:rgba(16, 22, 26, 0.5);
+      stroke:#8a9ba8; }
+    .bp3-dark .bp3-slider-handle, .bp3-dark .bp3-slider-handle:hover{
+      background-color:#394b59; }
+    .bp3-dark .bp3-slider-handle.bp3-active{
+      background-color:#293742; }
+  .bp3-dark .bp3-disabled .bp3-slider-handle{
+    border-color:#5c7080;
+    -webkit-box-shadow:none;
+            box-shadow:none;
+    background:#5c7080; }
+  .bp3-slider-handle .bp3-slider-label{
+    margin-left:8px;
+    border-radius:3px;
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);
+    background:#394b59;
+    color:#f5f8fa; }
+    .bp3-dark .bp3-slider-handle .bp3-slider-label{
+      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);
+              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);
+      background:#e1e8ed;
+      color:#394b59; }
+    .bp3-disabled .bp3-slider-handle .bp3-slider-label{
+      -webkit-box-shadow:none;
+              box-shadow:none; }
+  .bp3-slider-handle.bp3-start, .bp3-slider-handle.bp3-end{
+    width:8px; }
+  .bp3-slider-handle.bp3-start{
+    border-top-right-radius:0;
+    border-bottom-right-radius:0; }
+  .bp3-slider-handle.bp3-end{
+    margin-left:8px;
+    border-top-left-radius:0;
+    border-bottom-left-radius:0; }
+    .bp3-slider-handle.bp3-end .bp3-slider-label{
+      margin-left:0; }
+
+.bp3-slider-label{
+  -webkit-transform:translate(-50%, 20px);
+          transform:translate(-50%, 20px);
+  display:inline-block;
+  position:absolute;
+  padding:2px 5px;
+  vertical-align:top;
+  line-height:1;
+  font-size:12px; }
+
+.bp3-slider.bp3-vertical{
+  width:40px;
+  min-width:40px;
+  height:150px; }
+  .bp3-slider.bp3-vertical .bp3-slider-track,
+  .bp3-slider.bp3-vertical .bp3-slider-progress{
+    top:0;
+    bottom:0;
+    left:5px;
+    width:6px;
+    height:auto; }
+  .bp3-slider.bp3-vertical .bp3-slider-progress{
+    top:auto; }
+  .bp3-slider.bp3-vertical .bp3-slider-label{
+    -webkit-transform:translate(20px, 50%);
+            transform:translate(20px, 50%); }
+  .bp3-slider.bp3-vertical .bp3-slider-handle{
+    top:auto; }
+    .bp3-slider.bp3-vertical .bp3-slider-handle .bp3-slider-label{
+      margin-top:-8px;
+      margin-left:0; }
+    .bp3-slider.bp3-vertical .bp3-slider-handle.bp3-end, .bp3-slider.bp3-vertical .bp3-slider-handle.bp3-start{
+      margin-left:0;
+      width:16px;
+      height:8px; }
+    .bp3-slider.bp3-vertical .bp3-slider-handle.bp3-start{
+      border-top-left-radius:0;
+      border-bottom-right-radius:3px; }
+      .bp3-slider.bp3-vertical .bp3-slider-handle.bp3-start .bp3-slider-label{
+        -webkit-transform:translate(20px);
+                transform:translate(20px); }
+    .bp3-slider.bp3-vertical .bp3-slider-handle.bp3-end{
+      margin-bottom:8px;
+      border-top-left-radius:3px;
+      border-bottom-left-radius:0;
+      border-bottom-right-radius:0; }
+
+@-webkit-keyframes pt-spinner-animation{
+  from{
+    -webkit-transform:rotate(0deg);
+            transform:rotate(0deg); }
+  to{
+    -webkit-transform:rotate(360deg);
+            transform:rotate(360deg); } }
+
+@keyframes pt-spinner-animation{
+  from{
+    -webkit-transform:rotate(0deg);
+            transform:rotate(0deg); }
+  to{
+    -webkit-transform:rotate(360deg);
+            transform:rotate(360deg); } }
+
+.bp3-spinner{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -webkit-box-align:center;
+      -ms-flex-align:center;
+          align-items:center;
+  -webkit-box-pack:center;
+      -ms-flex-pack:center;
+          justify-content:center;
+  overflow:visible;
+  vertical-align:middle; }
+  .bp3-spinner svg{
+    display:block; }
+  .bp3-spinner path{
+    fill-opacity:0; }
+  .bp3-spinner .bp3-spinner-head{
+    -webkit-transform-origin:center;
+            transform-origin:center;
+    -webkit-transition:stroke-dashoffset 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
+    transition:stroke-dashoffset 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
+    stroke:rgba(92, 112, 128, 0.8);
+    stroke-linecap:round; }
+  .bp3-spinner .bp3-spinner-track{
+    stroke:rgba(92, 112, 128, 0.2); }
+
+.bp3-spinner-animation{
+  -webkit-animation:pt-spinner-animation 500ms linear infinite;
+          animation:pt-spinner-animation 500ms linear infinite; }
+  .bp3-no-spin > .bp3-spinner-animation{
+    -webkit-animation:none;
+            animation:none; }
+
+.bp3-dark .bp3-spinner .bp3-spinner-head{
+  stroke:#8a9ba8; }
+
+.bp3-dark .bp3-spinner .bp3-spinner-track{
+  stroke:rgba(16, 22, 26, 0.5); }
+
+.bp3-spinner.bp3-intent-primary .bp3-spinner-head{
+  stroke:#137cbd; }
+
+.bp3-spinner.bp3-intent-success .bp3-spinner-head{
+  stroke:#0f9960; }
+
+.bp3-spinner.bp3-intent-warning .bp3-spinner-head{
+  stroke:#d9822b; }
+
+.bp3-spinner.bp3-intent-danger .bp3-spinner-head{
+  stroke:#db3737; }
+.bp3-tabs.bp3-vertical{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex; }
+  .bp3-tabs.bp3-vertical > .bp3-tab-list{
+    -webkit-box-orient:vertical;
+    -webkit-box-direction:normal;
+        -ms-flex-direction:column;
+            flex-direction:column;
+    -webkit-box-align:start;
+        -ms-flex-align:start;
+            align-items:flex-start; }
+    .bp3-tabs.bp3-vertical > .bp3-tab-list .bp3-tab{
+      border-radius:3px;
+      width:100%;
+      padding:0 10px; }
+      .bp3-tabs.bp3-vertical > .bp3-tab-list .bp3-tab[aria-selected="true"]{
+        -webkit-box-shadow:none;
+                box-shadow:none;
+        background-color:rgba(19, 124, 189, 0.2); }
+    .bp3-tabs.bp3-vertical > .bp3-tab-list .bp3-tab-indicator-wrapper .bp3-tab-indicator{
+      top:0;
+      right:0;
+      bottom:0;
+      left:0;
+      border-radius:3px;
+      background-color:rgba(19, 124, 189, 0.2);
+      height:auto; }
+  .bp3-tabs.bp3-vertical > .bp3-tab-panel{
+    margin-top:0;
+    padding-left:20px; }
+
+.bp3-tab-list{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -webkit-box-flex:0;
+      -ms-flex:0 0 auto;
+          flex:0 0 auto;
+  -webkit-box-align:end;
+      -ms-flex-align:end;
+          align-items:flex-end;
+  position:relative;
+  margin:0;
+  border:none;
+  padding:0;
+  list-style:none; }
+  .bp3-tab-list > *:not(:last-child){
+    margin-right:20px; }
+
+.bp3-tab{
+  overflow:hidden;
+  text-overflow:ellipsis;
+  white-space:nowrap;
+  word-wrap:normal;
+  -webkit-box-flex:0;
+      -ms-flex:0 0 auto;
+          flex:0 0 auto;
+  position:relative;
+  cursor:pointer;
+  max-width:100%;
+  vertical-align:top;
+  line-height:30px;
+  color:#182026;
+  font-size:14px; }
+  .bp3-tab a{
+    display:block;
+    text-decoration:none;
+    color:inherit; }
+  .bp3-tab-indicator-wrapper ~ .bp3-tab{
+    -webkit-box-shadow:none !important;
+            box-shadow:none !important;
+    background-color:transparent !important; }
+  .bp3-tab[aria-disabled="true"]{
+    cursor:not-allowed;
+    color:rgba(92, 112, 128, 0.6); }
+  .bp3-tab[aria-selected="true"]{
+    border-radius:0;
+    -webkit-box-shadow:inset 0 -3px 0 #106ba3;
+            box-shadow:inset 0 -3px 0 #106ba3; }
+  .bp3-tab[aria-selected="true"], .bp3-tab:not([aria-disabled="true"]):hover{
+    color:#106ba3; }
+  .bp3-tab:focus{
+    -moz-outline-radius:0; }
+  .bp3-large > .bp3-tab{
+    line-height:40px;
+    font-size:16px; }
+
+.bp3-tab-panel{
+  margin-top:20px; }
+  .bp3-tab-panel[aria-hidden="true"]{
+    display:none; }
+
+.bp3-tab-indicator-wrapper{
+  position:absolute;
+  top:0;
+  left:0;
+  -webkit-transform:translateX(0), translateY(0);
+          transform:translateX(0), translateY(0);
+  -webkit-transition:height, width, -webkit-transform;
+  transition:height, width, -webkit-transform;
+  transition:height, transform, width;
+  transition:height, transform, width, -webkit-transform;
+  -webkit-transition-duration:200ms;
+          transition-duration:200ms;
+  -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+          transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+  pointer-events:none; }
+  .bp3-tab-indicator-wrapper .bp3-tab-indicator{
+    position:absolute;
+    right:0;
+    bottom:0;
+    left:0;
+    background-color:#106ba3;
+    height:3px; }
+  .bp3-tab-indicator-wrapper.bp3-no-animation{
+    -webkit-transition:none;
+    transition:none; }
+
+.bp3-dark .bp3-tab{
+  color:#f5f8fa; }
+  .bp3-dark .bp3-tab[aria-disabled="true"]{
+    color:rgba(167, 182, 194, 0.6); }
+  .bp3-dark .bp3-tab[aria-selected="true"]{
+    -webkit-box-shadow:inset 0 -3px 0 #48aff0;
+            box-shadow:inset 0 -3px 0 #48aff0; }
+  .bp3-dark .bp3-tab[aria-selected="true"], .bp3-dark .bp3-tab:not([aria-disabled="true"]):hover{
+    color:#48aff0; }
+
+.bp3-dark .bp3-tab-indicator{
+  background-color:#48aff0; }
+
+.bp3-flex-expander{
+  -webkit-box-flex:1;
+      -ms-flex:1 1;
+          flex:1 1; }
+.bp3-tag{
+  display:-webkit-inline-box;
+  display:-ms-inline-flexbox;
+  display:inline-flex;
+  -webkit-box-orient:horizontal;
+  -webkit-box-direction:normal;
+      -ms-flex-direction:row;
+          flex-direction:row;
+  -webkit-box-align:center;
+      -ms-flex-align:center;
+          align-items:center;
+  position:relative;
+  border:none;
+  border-radius:3px;
+  -webkit-box-shadow:none;
+          box-shadow:none;
+  background-color:#5c7080;
+  min-width:20px;
+  max-width:100%;
+  min-height:20px;
+  padding:2px 6px;
+  line-height:16px;
+  color:#f5f8fa;
+  font-size:12px; }
+  .bp3-tag.bp3-interactive{
+    cursor:pointer; }
+    .bp3-tag.bp3-interactive:hover{
+      background-color:rgba(92, 112, 128, 0.85); }
+    .bp3-tag.bp3-interactive.bp3-active, .bp3-tag.bp3-interactive:active{
+      background-color:rgba(92, 112, 128, 0.7); }
+  .bp3-tag > *{
+    -webkit-box-flex:0;
+        -ms-flex-positive:0;
+            flex-grow:0;
+    -ms-flex-negative:0;
+        flex-shrink:0; }
+  .bp3-tag > .bp3-fill{
+    -webkit-box-flex:1;
+        -ms-flex-positive:1;
+            flex-grow:1;
+    -ms-flex-negative:1;
+        flex-shrink:1; }
+  .bp3-tag::before,
+  .bp3-tag > *{
+    margin-right:4px; }
+  .bp3-tag:empty::before,
+  .bp3-tag > :last-child{
+    margin-right:0; }
+  .bp3-tag:focus{
+    outline:rgba(19, 124, 189, 0.6) auto 2px;
+    outline-offset:0;
+    -moz-outline-radius:6px; }
+  .bp3-tag.bp3-round{
+    border-radius:30px;
+    padding-right:8px;
+    padding-left:8px; }
+  .bp3-dark .bp3-tag{
+    background-color:#bfccd6;
+    color:#182026; }
+    .bp3-dark .bp3-tag.bp3-interactive{
+      cursor:pointer; }
+      .bp3-dark .bp3-tag.bp3-interactive:hover{
+        background-color:rgba(191, 204, 214, 0.85); }
+      .bp3-dark .bp3-tag.bp3-interactive.bp3-active, .bp3-dark .bp3-tag.bp3-interactive:active{
+        background-color:rgba(191, 204, 214, 0.7); }
+    .bp3-dark .bp3-tag > .bp3-icon, .bp3-dark .bp3-tag .bp3-icon-standard, .bp3-dark .bp3-tag .bp3-icon-large{
+      fill:currentColor; }
+  .bp3-tag > .bp3-icon, .bp3-tag .bp3-icon-standard, .bp3-tag .bp3-icon-large{
+    fill:#ffffff; }
+  .bp3-tag.bp3-large,
+  .bp3-large .bp3-tag{
+    min-width:30px;
+    min-height:30px;
+    padding:0 10px;
+    line-height:20px;
+    font-size:14px; }
+    .bp3-tag.bp3-large::before,
+    .bp3-tag.bp3-large > *,
+    .bp3-large .bp3-tag::before,
+    .bp3-large .bp3-tag > *{
+      margin-right:7px; }
+    .bp3-tag.bp3-large:empty::before,
+    .bp3-tag.bp3-large > :last-child,
+    .bp3-large .bp3-tag:empty::before,
+    .bp3-large .bp3-tag > :last-child{
+      margin-right:0; }
+    .bp3-tag.bp3-large.bp3-round,
+    .bp3-large .bp3-tag.bp3-round{
+      padding-right:12px;
+      padding-left:12px; }
+  .bp3-tag.bp3-intent-primary{
+    background:#137cbd;
+    color:#ffffff; }
+    .bp3-tag.bp3-intent-primary.bp3-interactive{
+      cursor:pointer; }
+      .bp3-tag.bp3-intent-primary.bp3-interactive:hover{
+        background-color:rgba(19, 124, 189, 0.85); }
+      .bp3-tag.bp3-intent-primary.bp3-interactive.bp3-active, .bp3-tag.bp3-intent-primary.bp3-interactive:active{
+        background-color:rgba(19, 124, 189, 0.7); }
+  .bp3-tag.bp3-intent-success{
+    background:#0f9960;
+    color:#ffffff; }
+    .bp3-tag.bp3-intent-success.bp3-interactive{
+      cursor:pointer; }
+      .bp3-tag.bp3-intent-success.bp3-interactive:hover{
+        background-color:rgba(15, 153, 96, 0.85); }
+      .bp3-tag.bp3-intent-success.bp3-interactive.bp3-active, .bp3-tag.bp3-intent-success.bp3-interactive:active{
+        background-color:rgba(15, 153, 96, 0.7); }
+  .bp3-tag.bp3-intent-warning{
+    background:#d9822b;
+    color:#ffffff; }
+    .bp3-tag.bp3-intent-warning.bp3-interactive{
+      cursor:pointer; }
+      .bp3-tag.bp3-intent-warning.bp3-interactive:hover{
+        background-color:rgba(217, 130, 43, 0.85); }
+      .bp3-tag.bp3-intent-warning.bp3-interactive.bp3-active, .bp3-tag.bp3-intent-warning.bp3-interactive:active{
+        background-color:rgba(217, 130, 43, 0.7); }
+  .bp3-tag.bp3-intent-danger{
+    background:#db3737;
+    color:#ffffff; }
+    .bp3-tag.bp3-intent-danger.bp3-interactive{
+      cursor:pointer; }
+      .bp3-tag.bp3-intent-danger.bp3-interactive:hover{
+        background-color:rgba(219, 55, 55, 0.85); }
+      .bp3-tag.bp3-intent-danger.bp3-interactive.bp3-active, .bp3-tag.bp3-intent-danger.bp3-interactive:active{
+        background-color:rgba(219, 55, 55, 0.7); }
+  .bp3-tag.bp3-fill{
+    display:-webkit-box;
+    display:-ms-flexbox;
+    display:flex;
+    width:100%; }
+  .bp3-tag.bp3-minimal > .bp3-icon, .bp3-tag.bp3-minimal .bp3-icon-standard, .bp3-tag.bp3-minimal .bp3-icon-large{
+    fill:#5c7080; }
+  .bp3-tag.bp3-minimal:not([class*="bp3-intent-"]){
+    background-color:rgba(138, 155, 168, 0.2);
+    color:#182026; }
+    .bp3-tag.bp3-minimal:not([class*="bp3-intent-"]).bp3-interactive{
+      cursor:pointer; }
+      .bp3-tag.bp3-minimal:not([class*="bp3-intent-"]).bp3-interactive:hover{
+        background-color:rgba(92, 112, 128, 0.3); }
+      .bp3-tag.bp3-minimal:not([class*="bp3-intent-"]).bp3-interactive.bp3-active, .bp3-tag.bp3-minimal:not([class*="bp3-intent-"]).bp3-interactive:active{
+        background-color:rgba(92, 112, 128, 0.4); }
+    .bp3-dark .bp3-tag.bp3-minimal:not([class*="bp3-intent-"]){
+      color:#f5f8fa; }
+      .bp3-dark .bp3-tag.bp3-minimal:not([class*="bp3-intent-"]).bp3-interactive{
+        cursor:pointer; }
+        .bp3-dark .bp3-tag.bp3-minimal:not([class*="bp3-intent-"]).bp3-interactive:hover{
+          background-color:rgba(191, 204, 214, 0.3); }
+        .bp3-dark .bp3-tag.bp3-minimal:not([class*="bp3-intent-"]).bp3-interactive.bp3-active, .bp3-dark .bp3-tag.bp3-minimal:not([class*="bp3-intent-"]).bp3-interactive:active{
+          background-color:rgba(191, 204, 214, 0.4); }
+      .bp3-dark .bp3-tag.bp3-minimal:not([class*="bp3-intent-"]) > .bp3-icon, .bp3-dark .bp3-tag.bp3-minimal:not([class*="bp3-intent-"]) .bp3-icon-standard, .bp3-dark .bp3-tag.bp3-minimal:not([class*="bp3-intent-"]) .bp3-icon-large{
+        fill:#a7b6c2; }
+  .bp3-tag.bp3-minimal.bp3-intent-primary{
+    background-color:rgba(19, 124, 189, 0.15);
+    color:#106ba3; }
+    .bp3-tag.bp3-minimal.bp3-intent-primary.bp3-interactive{
+      cursor:pointer; }
+      .bp3-tag.bp3-minimal.bp3-intent-primary.bp3-interactive:hover{
+        background-color:rgba(19, 124, 189, 0.25); }
+      .bp3-tag.bp3-minimal.bp3-intent-primary.bp3-interactive.bp3-active, .bp3-tag.bp3-minimal.bp3-intent-primary.bp3-interactive:active{
+        background-color:rgba(19, 124, 189, 0.35); }
+    .bp3-tag.bp3-minimal.bp3-intent-primary > .bp3-icon, .bp3-tag.bp3-minimal.bp3-intent-primary .bp3-icon-standard, .bp3-tag.bp3-minimal.bp3-intent-primary .bp3-icon-large{
+      fill:#137cbd; }
+    .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-primary{
+      background-color:rgba(19, 124, 189, 0.25);
+      color:#48aff0; }
+      .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-primary.bp3-interactive{
+        cursor:pointer; }
+        .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-primary.bp3-interactive:hover{
+          background-color:rgba(19, 124, 189, 0.35); }
+        .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-primary.bp3-interactive.bp3-active, .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-primary.bp3-interactive:active{
+          background-color:rgba(19, 124, 189, 0.45); }
+  .bp3-tag.bp3-minimal.bp3-intent-success{
+    background-color:rgba(15, 153, 96, 0.15);
+    color:#0d8050; }
+    .bp3-tag.bp3-minimal.bp3-intent-success.bp3-interactive{
+      cursor:pointer; }
+      .bp3-tag.bp3-minimal.bp3-intent-success.bp3-interactive:hover{
+        background-color:rgba(15, 153, 96, 0.25); }
+      .bp3-tag.bp3-minimal.bp3-intent-success.bp3-interactive.bp3-active, .bp3-tag.bp3-minimal.bp3-intent-success.bp3-interactive:active{
+        background-color:rgba(15, 153, 96, 0.35); }
+    .bp3-tag.bp3-minimal.bp3-intent-success > .bp3-icon, .bp3-tag.bp3-minimal.bp3-intent-success .bp3-icon-standard, .bp3-tag.bp3-minimal.bp3-intent-success .bp3-icon-large{
+      fill:#0f9960; }
+    .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-success{
+      background-color:rgba(15, 153, 96, 0.25);
+      color:#3dcc91; }
+      .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-success.bp3-interactive{
+        cursor:pointer; }
+        .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-success.bp3-interactive:hover{
+          background-color:rgba(15, 153, 96, 0.35); }
+        .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-success.bp3-interactive.bp3-active, .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-success.bp3-interactive:active{
+          background-color:rgba(15, 153, 96, 0.45); }
+  .bp3-tag.bp3-minimal.bp3-intent-warning{
+    background-color:rgba(217, 130, 43, 0.15);
+    color:#bf7326; }
+    .bp3-tag.bp3-minimal.bp3-intent-warning.bp3-interactive{
+      cursor:pointer; }
+      .bp3-tag.bp3-minimal.bp3-intent-warning.bp3-interactive:hover{
+        background-color:rgba(217, 130, 43, 0.25); }
+      .bp3-tag.bp3-minimal.bp3-intent-warning.bp3-interactive.bp3-active, .bp3-tag.bp3-minimal.bp3-intent-warning.bp3-interactive:active{
+        background-color:rgba(217, 130, 43, 0.35); }
+    .bp3-tag.bp3-minimal.bp3-intent-warning > .bp3-icon, .bp3-tag.bp3-minimal.bp3-intent-warning .bp3-icon-standard, .bp3-tag.bp3-minimal.bp3-intent-warning .bp3-icon-large{
+      fill:#d9822b; }
+    .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-warning{
+      background-color:rgba(217, 130, 43, 0.25);
+      color:#ffb366; }
+      .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-warning.bp3-interactive{
+        cursor:pointer; }
+        .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-warning.bp3-interactive:hover{
+          background-color:rgba(217, 130, 43, 0.35); }
+        .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-warning.bp3-interactive.bp3-active, .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-warning.bp3-interactive:active{
+          background-color:rgba(217, 130, 43, 0.45); }
+  .bp3-tag.bp3-minimal.bp3-intent-danger{
+    background-color:rgba(219, 55, 55, 0.15);
+    color:#c23030; }
+    .bp3-tag.bp3-minimal.bp3-intent-danger.bp3-interactive{
+      cursor:pointer; }
+      .bp3-tag.bp3-minimal.bp3-intent-danger.bp3-interactive:hover{
+        background-color:rgba(219, 55, 55, 0.25); }
+      .bp3-tag.bp3-minimal.bp3-intent-danger.bp3-interactive.bp3-active, .bp3-tag.bp3-minimal.bp3-intent-danger.bp3-interactive:active{
+        background-color:rgba(219, 55, 55, 0.35); }
+    .bp3-tag.bp3-minimal.bp3-intent-danger > .bp3-icon, .bp3-tag.bp3-minimal.bp3-intent-danger .bp3-icon-standard, .bp3-tag.bp3-minimal.bp3-intent-danger .bp3-icon-large{
+      fill:#db3737; }
+    .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-danger{
+      background-color:rgba(219, 55, 55, 0.25);
+      color:#ff7373; }
+      .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-danger.bp3-interactive{
+        cursor:pointer; }
+        .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-danger.bp3-interactive:hover{
+          background-color:rgba(219, 55, 55, 0.35); }
+        .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-danger.bp3-interactive.bp3-active, .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-danger.bp3-interactive:active{
+          background-color:rgba(219, 55, 55, 0.45); }
+
+.bp3-tag-remove{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  opacity:0.5;
+  margin-top:-2px;
+  margin-right:-6px !important;
+  margin-bottom:-2px;
+  border:none;
+  background:none;
+  cursor:pointer;
+  padding:2px;
+  padding-left:0;
+  color:inherit; }
+  .bp3-tag-remove:hover{
+    opacity:0.8;
+    background:none;
+    text-decoration:none; }
+  .bp3-tag-remove:active{
+    opacity:1; }
+  .bp3-tag-remove:empty::before{
+    line-height:1;
+    font-family:"Icons16", sans-serif;
+    font-size:16px;
+    font-weight:400;
+    font-style:normal;
+    -moz-osx-font-smoothing:grayscale;
+    -webkit-font-smoothing:antialiased;
+    content:""; }
+  .bp3-large .bp3-tag-remove{
+    margin-right:-10px !important;
+    padding:5px;
+    padding-left:0; }
+    .bp3-large .bp3-tag-remove:empty::before{
+      line-height:1;
+      font-family:"Icons20", sans-serif;
+      font-size:20px;
+      font-weight:400;
+      font-style:normal; }
+.bp3-tag-input{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -webkit-box-orient:horizontal;
+  -webkit-box-direction:normal;
+      -ms-flex-direction:row;
+          flex-direction:row;
+  -webkit-box-align:start;
+      -ms-flex-align:start;
+          align-items:flex-start;
+  cursor:text;
+  height:auto;
+  min-height:30px;
+  padding-right:0;
+  padding-left:5px;
+  line-height:inherit; }
+  .bp3-tag-input > *{
+    -webkit-box-flex:0;
+        -ms-flex-positive:0;
+            flex-grow:0;
+    -ms-flex-negative:0;
+        flex-shrink:0; }
+  .bp3-tag-input > .bp3-tag-input-values{
+    -webkit-box-flex:1;
+        -ms-flex-positive:1;
+            flex-grow:1;
+    -ms-flex-negative:1;
+        flex-shrink:1; }
+  .bp3-tag-input .bp3-tag-input-icon{
+    margin-top:7px;
+    margin-right:7px;
+    margin-left:2px;
+    color:#5c7080; }
+  .bp3-tag-input .bp3-tag-input-values{
+    display:-webkit-box;
+    display:-ms-flexbox;
+    display:flex;
+    -webkit-box-orient:horizontal;
+    -webkit-box-direction:normal;
+        -ms-flex-direction:row;
+            flex-direction:row;
+    -ms-flex-wrap:wrap;
+        flex-wrap:wrap;
+    -webkit-box-align:center;
+        -ms-flex-align:center;
+            align-items:center;
+    -ms-flex-item-align:stretch;
+        align-self:stretch;
+    margin-top:5px;
+    margin-right:7px;
+    min-width:0; }
+    .bp3-tag-input .bp3-tag-input-values > *{
+      -webkit-box-flex:0;
+          -ms-flex-positive:0;
+              flex-grow:0;
+      -ms-flex-negative:0;
+          flex-shrink:0; }
+    .bp3-tag-input .bp3-tag-input-values > .bp3-fill{
+      -webkit-box-flex:1;
+          -ms-flex-positive:1;
+              flex-grow:1;
+      -ms-flex-negative:1;
+          flex-shrink:1; }
+    .bp3-tag-input .bp3-tag-input-values::before,
+    .bp3-tag-input .bp3-tag-input-values > *{
+      margin-right:5px; }
+    .bp3-tag-input .bp3-tag-input-values:empty::before,
+    .bp3-tag-input .bp3-tag-input-values > :last-child{
+      margin-right:0; }
+    .bp3-tag-input .bp3-tag-input-values:first-child .bp3-input-ghost:first-child{
+      padding-left:5px; }
+    .bp3-tag-input .bp3-tag-input-values > *{
+      margin-bottom:5px; }
+  .bp3-tag-input .bp3-tag{
+    overflow-wrap:break-word; }
+    .bp3-tag-input .bp3-tag.bp3-active{
+      outline:rgba(19, 124, 189, 0.6) auto 2px;
+      outline-offset:0;
+      -moz-outline-radius:6px; }
+  .bp3-tag-input .bp3-input-ghost{
+    -webkit-box-flex:1;
+        -ms-flex:1 1 auto;
+            flex:1 1 auto;
+    width:80px;
+    line-height:20px; }
+    .bp3-tag-input .bp3-input-ghost:disabled, .bp3-tag-input .bp3-input-ghost.bp3-disabled{
+      cursor:not-allowed; }
+  .bp3-tag-input .bp3-button,
+  .bp3-tag-input .bp3-spinner{
+    margin:3px;
+    margin-left:0; }
+  .bp3-tag-input .bp3-button{
+    min-width:24px;
+    min-height:24px;
+    padding:0 7px; }
+  .bp3-tag-input.bp3-large{
+    height:auto;
+    min-height:40px; }
+    .bp3-tag-input.bp3-large::before,
+    .bp3-tag-input.bp3-large > *{
+      margin-right:10px; }
+    .bp3-tag-input.bp3-large:empty::before,
+    .bp3-tag-input.bp3-large > :last-child{
+      margin-right:0; }
+    .bp3-tag-input.bp3-large .bp3-tag-input-icon{
+      margin-top:10px;
+      margin-left:5px; }
+    .bp3-tag-input.bp3-large .bp3-input-ghost{
+      line-height:30px; }
+    .bp3-tag-input.bp3-large .bp3-button{
+      min-width:30px;
+      min-height:30px;
+      padding:5px 10px;
+      margin:5px;
+      margin-left:0; }
+    .bp3-tag-input.bp3-large .bp3-spinner{
+      margin:8px;
+      margin-left:0; }
+  .bp3-tag-input.bp3-active{
+    -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+            box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+    background-color:#ffffff; }
+    .bp3-tag-input.bp3-active.bp3-intent-primary{
+      -webkit-box-shadow:0 0 0 1px #106ba3, 0 0 0 3px rgba(16, 107, 163, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+              box-shadow:0 0 0 1px #106ba3, 0 0 0 3px rgba(16, 107, 163, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+    .bp3-tag-input.bp3-active.bp3-intent-success{
+      -webkit-box-shadow:0 0 0 1px #0d8050, 0 0 0 3px rgba(13, 128, 80, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+              box-shadow:0 0 0 1px #0d8050, 0 0 0 3px rgba(13, 128, 80, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+    .bp3-tag-input.bp3-active.bp3-intent-warning{
+      -webkit-box-shadow:0 0 0 1px #bf7326, 0 0 0 3px rgba(191, 115, 38, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+              box-shadow:0 0 0 1px #bf7326, 0 0 0 3px rgba(191, 115, 38, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+    .bp3-tag-input.bp3-active.bp3-intent-danger{
+      -webkit-box-shadow:0 0 0 1px #c23030, 0 0 0 3px rgba(194, 48, 48, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
+              box-shadow:0 0 0 1px #c23030, 0 0 0 3px rgba(194, 48, 48, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
+  .bp3-dark .bp3-tag-input .bp3-tag-input-icon, .bp3-tag-input.bp3-dark .bp3-tag-input-icon{
+    color:#a7b6c2; }
+  .bp3-dark .bp3-tag-input .bp3-input-ghost, .bp3-tag-input.bp3-dark .bp3-input-ghost{
+    color:#f5f8fa; }
+    .bp3-dark .bp3-tag-input .bp3-input-ghost::-webkit-input-placeholder, .bp3-tag-input.bp3-dark .bp3-input-ghost::-webkit-input-placeholder{
+      color:rgba(167, 182, 194, 0.6); }
+    .bp3-dark .bp3-tag-input .bp3-input-ghost::-moz-placeholder, .bp3-tag-input.bp3-dark .bp3-input-ghost::-moz-placeholder{
+      color:rgba(167, 182, 194, 0.6); }
+    .bp3-dark .bp3-tag-input .bp3-input-ghost:-ms-input-placeholder, .bp3-tag-input.bp3-dark .bp3-input-ghost:-ms-input-placeholder{
+      color:rgba(167, 182, 194, 0.6); }
+    .bp3-dark .bp3-tag-input .bp3-input-ghost::-ms-input-placeholder, .bp3-tag-input.bp3-dark .bp3-input-ghost::-ms-input-placeholder{
+      color:rgba(167, 182, 194, 0.6); }
+    .bp3-dark .bp3-tag-input .bp3-input-ghost::placeholder, .bp3-tag-input.bp3-dark .bp3-input-ghost::placeholder{
+      color:rgba(167, 182, 194, 0.6); }
+  .bp3-dark .bp3-tag-input.bp3-active, .bp3-tag-input.bp3-dark.bp3-active{
+    -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+    background-color:rgba(16, 22, 26, 0.3); }
+    .bp3-dark .bp3-tag-input.bp3-active.bp3-intent-primary, .bp3-tag-input.bp3-dark.bp3-active.bp3-intent-primary{
+      -webkit-box-shadow:0 0 0 1px #106ba3, 0 0 0 3px rgba(16, 107, 163, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+              box-shadow:0 0 0 1px #106ba3, 0 0 0 3px rgba(16, 107, 163, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
+    .bp3-dark .bp3-tag-input.bp3-active.bp3-intent-success, .bp3-tag-input.bp3-dark.bp3-active.bp3-intent-success{
+      -webkit-box-shadow:0 0 0 1px #0d8050, 0 0 0 3px rgba(13, 128, 80, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+              box-shadow:0 0 0 1px #0d8050, 0 0 0 3px rgba(13, 128, 80, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
+    .bp3-dark .bp3-tag-input.bp3-active.bp3-intent-warning, .bp3-tag-input.bp3-dark.bp3-active.bp3-intent-warning{
+      -webkit-box-shadow:0 0 0 1px #bf7326, 0 0 0 3px rgba(191, 115, 38, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+              box-shadow:0 0 0 1px #bf7326, 0 0 0 3px rgba(191, 115, 38, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
+    .bp3-dark .bp3-tag-input.bp3-active.bp3-intent-danger, .bp3-tag-input.bp3-dark.bp3-active.bp3-intent-danger{
+      -webkit-box-shadow:0 0 0 1px #c23030, 0 0 0 3px rgba(194, 48, 48, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
+              box-shadow:0 0 0 1px #c23030, 0 0 0 3px rgba(194, 48, 48, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
+
+.bp3-input-ghost{
+  border:none;
+  -webkit-box-shadow:none;
+          box-shadow:none;
+  background:none;
+  padding:0; }
+  .bp3-input-ghost::-webkit-input-placeholder{
+    opacity:1;
+    color:rgba(92, 112, 128, 0.6); }
+  .bp3-input-ghost::-moz-placeholder{
+    opacity:1;
+    color:rgba(92, 112, 128, 0.6); }
+  .bp3-input-ghost:-ms-input-placeholder{
+    opacity:1;
+    color:rgba(92, 112, 128, 0.6); }
+  .bp3-input-ghost::-ms-input-placeholder{
+    opacity:1;
+    color:rgba(92, 112, 128, 0.6); }
+  .bp3-input-ghost::placeholder{
+    opacity:1;
+    color:rgba(92, 112, 128, 0.6); }
+  .bp3-input-ghost:focus{
+    outline:none !important; }
+.bp3-toast{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -webkit-box-align:start;
+      -ms-flex-align:start;
+          align-items:flex-start;
+  position:relative !important;
+  margin:20px 0 0;
+  border-radius:3px;
+  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);
+          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);
+  background-color:#ffffff;
+  min-width:300px;
+  max-width:500px;
+  pointer-events:all; }
+  .bp3-toast.bp3-toast-enter, .bp3-toast.bp3-toast-appear{
+    -webkit-transform:translateY(-40px);
+            transform:translateY(-40px); }
+  .bp3-toast.bp3-toast-enter-active, .bp3-toast.bp3-toast-appear-active{
+    -webkit-transform:translateY(0);
+            transform:translateY(0);
+    -webkit-transition-property:-webkit-transform;
+    transition-property:-webkit-transform;
+    transition-property:transform;
+    transition-property:transform, -webkit-transform;
+    -webkit-transition-duration:300ms;
+            transition-duration:300ms;
+    -webkit-transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);
+            transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);
+    -webkit-transition-delay:0;
+            transition-delay:0; }
+  .bp3-toast.bp3-toast-enter ~ .bp3-toast, .bp3-toast.bp3-toast-appear ~ .bp3-toast{
+    -webkit-transform:translateY(-40px);
+            transform:translateY(-40px); }
+  .bp3-toast.bp3-toast-enter-active ~ .bp3-toast, .bp3-toast.bp3-toast-appear-active ~ .bp3-toast{
+    -webkit-transform:translateY(0);
+            transform:translateY(0);
+    -webkit-transition-property:-webkit-transform;
+    transition-property:-webkit-transform;
+    transition-property:transform;
+    transition-property:transform, -webkit-transform;
+    -webkit-transition-duration:300ms;
+            transition-duration:300ms;
+    -webkit-transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);
+            transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);
+    -webkit-transition-delay:0;
+            transition-delay:0; }
+  .bp3-toast.bp3-toast-exit{
+    opacity:1;
+    -webkit-filter:blur(0);
+            filter:blur(0); }
+  .bp3-toast.bp3-toast-exit-active{
+    opacity:0;
+    -webkit-filter:blur(10px);
+            filter:blur(10px);
+    -webkit-transition-property:opacity, -webkit-filter;
+    transition-property:opacity, -webkit-filter;
+    transition-property:opacity, filter;
+    transition-property:opacity, filter, -webkit-filter;
+    -webkit-transition-duration:300ms;
+            transition-duration:300ms;
+    -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+    -webkit-transition-delay:0;
+            transition-delay:0; }
+  .bp3-toast.bp3-toast-exit ~ .bp3-toast{
+    -webkit-transform:translateY(0);
+            transform:translateY(0); }
+  .bp3-toast.bp3-toast-exit-active ~ .bp3-toast{
+    -webkit-transform:translateY(-40px);
+            transform:translateY(-40px);
+    -webkit-transition-property:-webkit-transform;
+    transition-property:-webkit-transform;
+    transition-property:transform;
+    transition-property:transform, -webkit-transform;
+    -webkit-transition-duration:100ms;
+            transition-duration:100ms;
+    -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+    -webkit-transition-delay:50ms;
+            transition-delay:50ms; }
+  .bp3-toast .bp3-button-group{
+    -webkit-box-flex:0;
+        -ms-flex:0 0 auto;
+            flex:0 0 auto;
+    padding:5px;
+    padding-left:0; }
+  .bp3-toast > .bp3-icon{
+    margin:12px;
+    margin-right:0;
+    color:#5c7080; }
+  .bp3-toast.bp3-dark,
+  .bp3-dark .bp3-toast{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);
+    background-color:#394b59; }
+    .bp3-toast.bp3-dark > .bp3-icon,
+    .bp3-dark .bp3-toast > .bp3-icon{
+      color:#a7b6c2; }
+  .bp3-toast[class*="bp3-intent-"] a{
+    color:rgba(255, 255, 255, 0.7); }
+    .bp3-toast[class*="bp3-intent-"] a:hover{
+      color:#ffffff; }
+  .bp3-toast[class*="bp3-intent-"] > .bp3-icon{
+    color:#ffffff; }
+  .bp3-toast[class*="bp3-intent-"] .bp3-button, .bp3-toast[class*="bp3-intent-"] .bp3-button::before,
+  .bp3-toast[class*="bp3-intent-"] .bp3-button .bp3-icon, .bp3-toast[class*="bp3-intent-"] .bp3-button:active{
+    color:rgba(255, 255, 255, 0.7) !important; }
+  .bp3-toast[class*="bp3-intent-"] .bp3-button:focus{
+    outline-color:rgba(255, 255, 255, 0.5); }
+  .bp3-toast[class*="bp3-intent-"] .bp3-button:hover{
+    background-color:rgba(255, 255, 255, 0.15) !important;
+    color:#ffffff !important; }
+  .bp3-toast[class*="bp3-intent-"] .bp3-button:active{
+    background-color:rgba(255, 255, 255, 0.3) !important;
+    color:#ffffff !important; }
+  .bp3-toast[class*="bp3-intent-"] .bp3-button::after{
+    background:rgba(255, 255, 255, 0.3) !important; }
+  .bp3-toast.bp3-intent-primary{
+    background-color:#137cbd;
+    color:#ffffff; }
+  .bp3-toast.bp3-intent-success{
+    background-color:#0f9960;
+    color:#ffffff; }
+  .bp3-toast.bp3-intent-warning{
+    background-color:#d9822b;
+    color:#ffffff; }
+  .bp3-toast.bp3-intent-danger{
+    background-color:#db3737;
+    color:#ffffff; }
+
+.bp3-toast-message{
+  -webkit-box-flex:1;
+      -ms-flex:1 1 auto;
+          flex:1 1 auto;
+  padding:11px;
+  word-break:break-word; }
+
+.bp3-toast-container{
+  display:-webkit-box !important;
+  display:-ms-flexbox !important;
+  display:flex !important;
+  -webkit-box-orient:vertical;
+  -webkit-box-direction:normal;
+      -ms-flex-direction:column;
+          flex-direction:column;
+  -webkit-box-align:center;
+      -ms-flex-align:center;
+          align-items:center;
+  position:fixed;
+  right:0;
+  left:0;
+  z-index:40;
+  overflow:hidden;
+  padding:0 20px 20px;
+  pointer-events:none; }
+  .bp3-toast-container.bp3-toast-container-top{
+    top:0;
+    bottom:auto; }
+  .bp3-toast-container.bp3-toast-container-bottom{
+    -webkit-box-orient:vertical;
+    -webkit-box-direction:reverse;
+        -ms-flex-direction:column-reverse;
+            flex-direction:column-reverse;
+    top:auto;
+    bottom:0; }
+  .bp3-toast-container.bp3-toast-container-left{
+    -webkit-box-align:start;
+        -ms-flex-align:start;
+            align-items:flex-start; }
+  .bp3-toast-container.bp3-toast-container-right{
+    -webkit-box-align:end;
+        -ms-flex-align:end;
+            align-items:flex-end; }
+
+.bp3-toast-container-bottom .bp3-toast.bp3-toast-enter:not(.bp3-toast-enter-active),
+.bp3-toast-container-bottom .bp3-toast.bp3-toast-enter:not(.bp3-toast-enter-active) ~ .bp3-toast, .bp3-toast-container-bottom .bp3-toast.bp3-toast-appear:not(.bp3-toast-appear-active),
+.bp3-toast-container-bottom .bp3-toast.bp3-toast-appear:not(.bp3-toast-appear-active) ~ .bp3-toast,
+.bp3-toast-container-bottom .bp3-toast.bp3-toast-leave-active ~ .bp3-toast{
+  -webkit-transform:translateY(60px);
+          transform:translateY(60px); }
+.bp3-tooltip{
+  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);
+          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);
+  -webkit-transform:scale(1);
+          transform:scale(1); }
+  .bp3-tooltip .bp3-popover-arrow{
+    position:absolute;
+    width:22px;
+    height:22px; }
+    .bp3-tooltip .bp3-popover-arrow::before{
+      margin:4px;
+      width:14px;
+      height:14px; }
+  .bp3-tether-element-attached-bottom.bp3-tether-target-attached-top > .bp3-tooltip{
+    margin-top:-11px;
+    margin-bottom:11px; }
+    .bp3-tether-element-attached-bottom.bp3-tether-target-attached-top > .bp3-tooltip > .bp3-popover-arrow{
+      bottom:-8px; }
+      .bp3-tether-element-attached-bottom.bp3-tether-target-attached-top > .bp3-tooltip > .bp3-popover-arrow svg{
+        -webkit-transform:rotate(-90deg);
+                transform:rotate(-90deg); }
+  .bp3-tether-element-attached-left.bp3-tether-target-attached-right > .bp3-tooltip{
+    margin-left:11px; }
+    .bp3-tether-element-attached-left.bp3-tether-target-attached-right > .bp3-tooltip > .bp3-popover-arrow{
+      left:-8px; }
+      .bp3-tether-element-attached-left.bp3-tether-target-attached-right > .bp3-tooltip > .bp3-popover-arrow svg{
+        -webkit-transform:rotate(0);
+                transform:rotate(0); }
+  .bp3-tether-element-attached-top.bp3-tether-target-attached-bottom > .bp3-tooltip{
+    margin-top:11px; }
+    .bp3-tether-element-attached-top.bp3-tether-target-attached-bottom > .bp3-tooltip > .bp3-popover-arrow{
+      top:-8px; }
+      .bp3-tether-element-attached-top.bp3-tether-target-attached-bottom > .bp3-tooltip > .bp3-popover-arrow svg{
+        -webkit-transform:rotate(90deg);
+                transform:rotate(90deg); }
+  .bp3-tether-element-attached-right.bp3-tether-target-attached-left > .bp3-tooltip{
+    margin-right:11px;
+    margin-left:-11px; }
+    .bp3-tether-element-attached-right.bp3-tether-target-attached-left > .bp3-tooltip > .bp3-popover-arrow{
+      right:-8px; }
+      .bp3-tether-element-attached-right.bp3-tether-target-attached-left > .bp3-tooltip > .bp3-popover-arrow svg{
+        -webkit-transform:rotate(180deg);
+                transform:rotate(180deg); }
+  .bp3-tether-element-attached-middle > .bp3-tooltip > .bp3-popover-arrow{
+    top:50%;
+    -webkit-transform:translateY(-50%);
+            transform:translateY(-50%); }
+  .bp3-tether-element-attached-center > .bp3-tooltip > .bp3-popover-arrow{
+    right:50%;
+    -webkit-transform:translateX(50%);
+            transform:translateX(50%); }
+  .bp3-tether-element-attached-top.bp3-tether-target-attached-top > .bp3-tooltip > .bp3-popover-arrow{
+    top:-0.22183px; }
+  .bp3-tether-element-attached-right.bp3-tether-target-attached-right > .bp3-tooltip > .bp3-popover-arrow{
+    right:-0.22183px; }
+  .bp3-tether-element-attached-left.bp3-tether-target-attached-left > .bp3-tooltip > .bp3-popover-arrow{
+    left:-0.22183px; }
+  .bp3-tether-element-attached-bottom.bp3-tether-target-attached-bottom > .bp3-tooltip > .bp3-popover-arrow{
+    bottom:-0.22183px; }
+  .bp3-tether-element-attached-top.bp3-tether-element-attached-left > .bp3-tooltip{
+    -webkit-transform-origin:top left;
+            transform-origin:top left; }
+  .bp3-tether-element-attached-top.bp3-tether-element-attached-center > .bp3-tooltip{
+    -webkit-transform-origin:top center;
+            transform-origin:top center; }
+  .bp3-tether-element-attached-top.bp3-tether-element-attached-right > .bp3-tooltip{
+    -webkit-transform-origin:top right;
+            transform-origin:top right; }
+  .bp3-tether-element-attached-middle.bp3-tether-element-attached-left > .bp3-tooltip{
+    -webkit-transform-origin:center left;
+            transform-origin:center left; }
+  .bp3-tether-element-attached-middle.bp3-tether-element-attached-center > .bp3-tooltip{
+    -webkit-transform-origin:center center;
+            transform-origin:center center; }
+  .bp3-tether-element-attached-middle.bp3-tether-element-attached-right > .bp3-tooltip{
+    -webkit-transform-origin:center right;
+            transform-origin:center right; }
+  .bp3-tether-element-attached-bottom.bp3-tether-element-attached-left > .bp3-tooltip{
+    -webkit-transform-origin:bottom left;
+            transform-origin:bottom left; }
+  .bp3-tether-element-attached-bottom.bp3-tether-element-attached-center > .bp3-tooltip{
+    -webkit-transform-origin:bottom center;
+            transform-origin:bottom center; }
+  .bp3-tether-element-attached-bottom.bp3-tether-element-attached-right > .bp3-tooltip{
+    -webkit-transform-origin:bottom right;
+            transform-origin:bottom right; }
+  .bp3-tooltip .bp3-popover-content{
+    background:#394b59;
+    color:#f5f8fa; }
+  .bp3-tooltip .bp3-popover-arrow::before{
+    -webkit-box-shadow:1px 1px 6px rgba(16, 22, 26, 0.2);
+            box-shadow:1px 1px 6px rgba(16, 22, 26, 0.2); }
+  .bp3-tooltip .bp3-popover-arrow-border{
+    fill:#10161a;
+    fill-opacity:0.1; }
+  .bp3-tooltip .bp3-popover-arrow-fill{
+    fill:#394b59; }
+  .bp3-popover-enter > .bp3-tooltip, .bp3-popover-appear > .bp3-tooltip{
+    -webkit-transform:scale(0.8);
+            transform:scale(0.8); }
+  .bp3-popover-enter-active > .bp3-tooltip, .bp3-popover-appear-active > .bp3-tooltip{
+    -webkit-transform:scale(1);
+            transform:scale(1);
+    -webkit-transition-property:-webkit-transform;
+    transition-property:-webkit-transform;
+    transition-property:transform;
+    transition-property:transform, -webkit-transform;
+    -webkit-transition-duration:100ms;
+            transition-duration:100ms;
+    -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+    -webkit-transition-delay:0;
+            transition-delay:0; }
+  .bp3-popover-exit > .bp3-tooltip{
+    -webkit-transform:scale(1);
+            transform:scale(1); }
+  .bp3-popover-exit-active > .bp3-tooltip{
+    -webkit-transform:scale(0.8);
+            transform:scale(0.8);
+    -webkit-transition-property:-webkit-transform;
+    transition-property:-webkit-transform;
+    transition-property:transform;
+    transition-property:transform, -webkit-transform;
+    -webkit-transition-duration:100ms;
+            transition-duration:100ms;
+    -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+    -webkit-transition-delay:0;
+            transition-delay:0; }
+  .bp3-tooltip .bp3-popover-content{
+    padding:10px 12px; }
+  .bp3-tooltip.bp3-dark,
+  .bp3-dark .bp3-tooltip{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4); }
+    .bp3-tooltip.bp3-dark .bp3-popover-content,
+    .bp3-dark .bp3-tooltip .bp3-popover-content{
+      background:#e1e8ed;
+      color:#394b59; }
+    .bp3-tooltip.bp3-dark .bp3-popover-arrow::before,
+    .bp3-dark .bp3-tooltip .bp3-popover-arrow::before{
+      -webkit-box-shadow:1px 1px 6px rgba(16, 22, 26, 0.4);
+              box-shadow:1px 1px 6px rgba(16, 22, 26, 0.4); }
+    .bp3-tooltip.bp3-dark .bp3-popover-arrow-border,
+    .bp3-dark .bp3-tooltip .bp3-popover-arrow-border{
+      fill:#10161a;
+      fill-opacity:0.2; }
+    .bp3-tooltip.bp3-dark .bp3-popover-arrow-fill,
+    .bp3-dark .bp3-tooltip .bp3-popover-arrow-fill{
+      fill:#e1e8ed; }
+  .bp3-tooltip.bp3-intent-primary .bp3-popover-content{
+    background:#137cbd;
+    color:#ffffff; }
+  .bp3-tooltip.bp3-intent-primary .bp3-popover-arrow-fill{
+    fill:#137cbd; }
+  .bp3-tooltip.bp3-intent-success .bp3-popover-content{
+    background:#0f9960;
+    color:#ffffff; }
+  .bp3-tooltip.bp3-intent-success .bp3-popover-arrow-fill{
+    fill:#0f9960; }
+  .bp3-tooltip.bp3-intent-warning .bp3-popover-content{
+    background:#d9822b;
+    color:#ffffff; }
+  .bp3-tooltip.bp3-intent-warning .bp3-popover-arrow-fill{
+    fill:#d9822b; }
+  .bp3-tooltip.bp3-intent-danger .bp3-popover-content{
+    background:#db3737;
+    color:#ffffff; }
+  .bp3-tooltip.bp3-intent-danger .bp3-popover-arrow-fill{
+    fill:#db3737; }
+
+.bp3-tooltip-indicator{
+  border-bottom:dotted 1px;
+  cursor:help; }
+.bp3-tree .bp3-icon, .bp3-tree .bp3-icon-standard, .bp3-tree .bp3-icon-large{
+  color:#5c7080; }
+  .bp3-tree .bp3-icon.bp3-intent-primary, .bp3-tree .bp3-icon-standard.bp3-intent-primary, .bp3-tree .bp3-icon-large.bp3-intent-primary{
+    color:#137cbd; }
+  .bp3-tree .bp3-icon.bp3-intent-success, .bp3-tree .bp3-icon-standard.bp3-intent-success, .bp3-tree .bp3-icon-large.bp3-intent-success{
+    color:#0f9960; }
+  .bp3-tree .bp3-icon.bp3-intent-warning, .bp3-tree .bp3-icon-standard.bp3-intent-warning, .bp3-tree .bp3-icon-large.bp3-intent-warning{
+    color:#d9822b; }
+  .bp3-tree .bp3-icon.bp3-intent-danger, .bp3-tree .bp3-icon-standard.bp3-intent-danger, .bp3-tree .bp3-icon-large.bp3-intent-danger{
+    color:#db3737; }
+
+.bp3-tree-node-list{
+  margin:0;
+  padding-left:0;
+  list-style:none; }
+
+.bp3-tree-root{
+  position:relative;
+  background-color:transparent;
+  cursor:default;
+  padding-left:0; }
+
+.bp3-tree-node-content-0{
+  padding-left:0px; }
+
+.bp3-tree-node-content-1{
+  padding-left:23px; }
+
+.bp3-tree-node-content-2{
+  padding-left:46px; }
+
+.bp3-tree-node-content-3{
+  padding-left:69px; }
+
+.bp3-tree-node-content-4{
+  padding-left:92px; }
+
+.bp3-tree-node-content-5{
+  padding-left:115px; }
+
+.bp3-tree-node-content-6{
+  padding-left:138px; }
+
+.bp3-tree-node-content-7{
+  padding-left:161px; }
+
+.bp3-tree-node-content-8{
+  padding-left:184px; }
+
+.bp3-tree-node-content-9{
+  padding-left:207px; }
+
+.bp3-tree-node-content-10{
+  padding-left:230px; }
+
+.bp3-tree-node-content-11{
+  padding-left:253px; }
+
+.bp3-tree-node-content-12{
+  padding-left:276px; }
+
+.bp3-tree-node-content-13{
+  padding-left:299px; }
+
+.bp3-tree-node-content-14{
+  padding-left:322px; }
+
+.bp3-tree-node-content-15{
+  padding-left:345px; }
+
+.bp3-tree-node-content-16{
+  padding-left:368px; }
+
+.bp3-tree-node-content-17{
+  padding-left:391px; }
+
+.bp3-tree-node-content-18{
+  padding-left:414px; }
+
+.bp3-tree-node-content-19{
+  padding-left:437px; }
+
+.bp3-tree-node-content-20{
+  padding-left:460px; }
+
+.bp3-tree-node-content{
+  display:-webkit-box;
+  display:-ms-flexbox;
+  display:flex;
+  -webkit-box-align:center;
+      -ms-flex-align:center;
+          align-items:center;
+  width:100%;
+  height:30px;
+  padding-right:5px; }
+  .bp3-tree-node-content:hover{
+    background-color:rgba(191, 204, 214, 0.4); }
+
+.bp3-tree-node-caret,
+.bp3-tree-node-caret-none{
+  min-width:30px; }
+
+.bp3-tree-node-caret{
+  color:#5c7080;
+  -webkit-transform:rotate(0deg);
+          transform:rotate(0deg);
+  cursor:pointer;
+  padding:7px;
+  -webkit-transition:-webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
+  transition:-webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
+  transition:transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
+  transition:transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9); }
+  .bp3-tree-node-caret:hover{
+    color:#182026; }
+  .bp3-dark .bp3-tree-node-caret{
+    color:#a7b6c2; }
+    .bp3-dark .bp3-tree-node-caret:hover{
+      color:#f5f8fa; }
+  .bp3-tree-node-caret.bp3-tree-node-caret-open{
+    -webkit-transform:rotate(90deg);
+            transform:rotate(90deg); }
+  .bp3-tree-node-caret.bp3-icon-standard::before{
+    content:""; }
+
+.bp3-tree-node-icon{
+  position:relative;
+  margin-right:7px; }
+
+.bp3-tree-node-label{
+  overflow:hidden;
+  text-overflow:ellipsis;
+  white-space:nowrap;
+  word-wrap:normal;
+  -webkit-box-flex:1;
+      -ms-flex:1 1 auto;
+          flex:1 1 auto;
+  position:relative;
+  -webkit-user-select:none;
+     -moz-user-select:none;
+      -ms-user-select:none;
+          user-select:none; }
+  .bp3-tree-node-label span{
+    display:inline; }
+
+.bp3-tree-node-secondary-label{
+  padding:0 5px;
+  -webkit-user-select:none;
+     -moz-user-select:none;
+      -ms-user-select:none;
+          user-select:none; }
+  .bp3-tree-node-secondary-label .bp3-popover-wrapper,
+  .bp3-tree-node-secondary-label .bp3-popover-target{
+    display:-webkit-box;
+    display:-ms-flexbox;
+    display:flex;
+    -webkit-box-align:center;
+        -ms-flex-align:center;
+            align-items:center; }
+
+.bp3-tree-node.bp3-disabled .bp3-tree-node-content{
+  background-color:inherit;
+  cursor:not-allowed;
+  color:rgba(92, 112, 128, 0.6); }
+
+.bp3-tree-node.bp3-disabled .bp3-tree-node-caret,
+.bp3-tree-node.bp3-disabled .bp3-tree-node-icon{
+  cursor:not-allowed;
+  color:rgba(92, 112, 128, 0.6); }
+
+.bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content{
+  background-color:#137cbd; }
+  .bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content,
+  .bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content .bp3-icon, .bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content .bp3-icon-standard, .bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content .bp3-icon-large{
+    color:#ffffff; }
+  .bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content .bp3-tree-node-caret::before{
+    color:rgba(255, 255, 255, 0.7); }
+  .bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content .bp3-tree-node-caret:hover::before{
+    color:#ffffff; }
+
+.bp3-dark .bp3-tree-node-content:hover{
+  background-color:rgba(92, 112, 128, 0.3); }
+
+.bp3-dark .bp3-tree .bp3-icon, .bp3-dark .bp3-tree .bp3-icon-standard, .bp3-dark .bp3-tree .bp3-icon-large{
+  color:#a7b6c2; }
+  .bp3-dark .bp3-tree .bp3-icon.bp3-intent-primary, .bp3-dark .bp3-tree .bp3-icon-standard.bp3-intent-primary, .bp3-dark .bp3-tree .bp3-icon-large.bp3-intent-primary{
+    color:#137cbd; }
+  .bp3-dark .bp3-tree .bp3-icon.bp3-intent-success, .bp3-dark .bp3-tree .bp3-icon-standard.bp3-intent-success, .bp3-dark .bp3-tree .bp3-icon-large.bp3-intent-success{
+    color:#0f9960; }
+  .bp3-dark .bp3-tree .bp3-icon.bp3-intent-warning, .bp3-dark .bp3-tree .bp3-icon-standard.bp3-intent-warning, .bp3-dark .bp3-tree .bp3-icon-large.bp3-intent-warning{
+    color:#d9822b; }
+  .bp3-dark .bp3-tree .bp3-icon.bp3-intent-danger, .bp3-dark .bp3-tree .bp3-icon-standard.bp3-intent-danger, .bp3-dark .bp3-tree .bp3-icon-large.bp3-intent-danger{
+    color:#db3737; }
+
+.bp3-dark .bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content{
+  background-color:#137cbd; }
+/*!
+
+Copyright 2017-present Palantir Technologies, Inc. All rights reserved.
+Licensed under the Apache License, Version 2.0.
+
+*/
+.bp3-omnibar{
+  -webkit-filter:blur(0);
+          filter:blur(0);
+  opacity:1;
+  top:20vh;
+  left:calc(50% - 250px);
+  z-index:21;
+  border-radius:3px;
+  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);
+          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);
+  background-color:#ffffff;
+  width:500px; }
+  .bp3-omnibar.bp3-overlay-enter, .bp3-omnibar.bp3-overlay-appear{
+    -webkit-filter:blur(20px);
+            filter:blur(20px);
+    opacity:0.2; }
+  .bp3-omnibar.bp3-overlay-enter-active, .bp3-omnibar.bp3-overlay-appear-active{
+    -webkit-filter:blur(0);
+            filter:blur(0);
+    opacity:1;
+    -webkit-transition-property:opacity, -webkit-filter;
+    transition-property:opacity, -webkit-filter;
+    transition-property:filter, opacity;
+    transition-property:filter, opacity, -webkit-filter;
+    -webkit-transition-duration:200ms;
+            transition-duration:200ms;
+    -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+    -webkit-transition-delay:0;
+            transition-delay:0; }
+  .bp3-omnibar.bp3-overlay-exit{
+    -webkit-filter:blur(0);
+            filter:blur(0);
+    opacity:1; }
+  .bp3-omnibar.bp3-overlay-exit-active{
+    -webkit-filter:blur(20px);
+            filter:blur(20px);
+    opacity:0.2;
+    -webkit-transition-property:opacity, -webkit-filter;
+    transition-property:opacity, -webkit-filter;
+    transition-property:filter, opacity;
+    transition-property:filter, opacity, -webkit-filter;
+    -webkit-transition-duration:200ms;
+            transition-duration:200ms;
+    -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);
+    -webkit-transition-delay:0;
+            transition-delay:0; }
+  .bp3-omnibar .bp3-input{
+    border-radius:0;
+    background-color:transparent; }
+    .bp3-omnibar .bp3-input, .bp3-omnibar .bp3-input:focus{
+      -webkit-box-shadow:none;
+              box-shadow:none; }
+  .bp3-omnibar .bp3-menu{
+    border-radius:0;
+    -webkit-box-shadow:inset 0 1px 0 rgba(16, 22, 26, 0.15);
+            box-shadow:inset 0 1px 0 rgba(16, 22, 26, 0.15);
+    background-color:transparent;
+    max-height:calc(60vh - 40px);
+    overflow:auto; }
+    .bp3-omnibar .bp3-menu:empty{
+      display:none; }
+  .bp3-dark .bp3-omnibar, .bp3-omnibar.bp3-dark{
+    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 4px 8px rgba(16, 22, 26, 0.4), 0 18px 46px 6px rgba(16, 22, 26, 0.4);
+            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 4px 8px rgba(16, 22, 26, 0.4), 0 18px 46px 6px rgba(16, 22, 26, 0.4);
+    background-color:#30404d; }
+
+.bp3-omnibar-overlay .bp3-overlay-backdrop{
+  background-color:rgba(16, 22, 26, 0.2); }
+
+.bp3-select-popover .bp3-popover-content{
+  padding:5px; }
+
+.bp3-select-popover .bp3-input-group{
+  margin-bottom:0; }
+
+.bp3-select-popover .bp3-menu{
+  max-width:400px;
+  max-height:300px;
+  overflow:auto;
+  padding:0; }
+  .bp3-select-popover .bp3-menu:not(:first-child){
+    padding-top:5px; }
+
+.bp3-multi-select{
+  min-width:150px; }
+
+.bp3-multi-select-popover .bp3-menu{
+  max-width:400px;
+  max-height:300px;
+  overflow:auto; }
+
+.bp3-select-popover .bp3-popover-content{
+  padding:5px; }
+
+.bp3-select-popover .bp3-input-group{
+  margin-bottom:0; }
+
+.bp3-select-popover .bp3-menu{
+  max-width:400px;
+  max-height:300px;
+  overflow:auto;
+  padding:0; }
+  .bp3-select-popover .bp3-menu:not(:first-child){
+    padding-top:5px; }
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+/* Icons urls */
+
+:root {
+  --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-bug: url(data:image/svg+xml;base64,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);
+  --jp-icon-build: url(data:image/svg+xml;base64,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);
+  --jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNy41TDksMTEuMmwzLjgtMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-left: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik0xMC44LDEyLjhMNy4xLDlsMy44LTMuOGwwLDcuNkgxMC44eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-right: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik03LjIsNS4yTDEwLjksOWwtMy44LDMuOFY1LjJINy4yeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-up-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iMTUuNCwxMy4zIDkuOSw3LjcgNC40LDEzLjIgMy42LDEyLjUgOS45LDYuMyAxNi4xLDEyLjYgIi8+Cgk8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-up: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik01LjIsMTAuNUw5LDYuOGwzLjgsMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-case-sensitive: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KICA8ZyBjbGFzcz0ianAtaWNvbjIiIGZpbGw9IiM0MTQxNDEiPgogICAgPHJlY3QgeD0iMiIgeT0iMiIgd2lkdGg9IjE2IiBoZWlnaHQ9IjE2Ii8+CiAgPC9nPgogIDxnIGNsYXNzPSJqcC1pY29uLWFjY2VudDIiIGZpbGw9IiNGRkYiPgogICAgPHBhdGggZD0iTTcuNiw4aDAuOWwzLjUsOGgtMS4xTDEwLDE0SDZsLTAuOSwySDRMNy42LDh6IE04LDkuMUw2LjQsMTNoMy4yTDgsOS4xeiIvPgogICAgPHBhdGggZD0iTTE2LjYsOS44Yy0wLjIsMC4xLTAuNCwwLjEtMC43LDAuMWMtMC4yLDAtMC40LTAuMS0wLjYtMC4yYy0wLjEtMC4xLTAuMi0wLjQtMC4yLTAuNyBjLTAuMywwLjMtMC42LDAuNS0wLjksMC43Yy0wLjMsMC4xLTAuNywwLjItMS4xLDAuMmMtMC4zLDAtMC41LDAtMC43LTAuMWMtMC4yLTAuMS0wLjQtMC4yLTAuNi0wLjNjLTAuMi0wLjEtMC4zLTAuMy0wLjQtMC41IGMtMC4xLTAuMi0wLjEtMC40LTAuMS0wLjdjMC0wLjMsMC4xLTAuNiwwLjItMC44YzAuMS0wLjIsMC4zLTAuNCwwLjQtMC41QzEyLDcsMTIuMiw2LjksMTIuNSw2LjhjMC4yLTAuMSwwLjUtMC4xLDAuNy0wLjIgYzAuMy0wLjEsMC41LTAuMSwwLjctMC4xYzAuMiwwLDAuNC0wLjEsMC42LTAuMWMwLjIsMCwwLjMtMC4xLDAuNC0wLjJjMC4xLTAuMSwwLjItMC4yLDAuMi0wLjRjMC0xLTEuMS0xLTEuMy0xIGMtMC40LDAtMS40LDAtMS40LDEuMmgtMC45YzAtMC40LDAuMS0wLjcsMC4yLTFjMC4xLTAuMiwwLjMtMC40LDAuNS0wLjZjMC4yLTAuMiwwLjUtMC4zLDAuOC0wLjNDMTMuMyw0LDEzLjYsNCwxMy45LDQgYzAuMywwLDAuNSwwLDAuOCwwLjFjMC4zLDAsMC41LDAuMSwwLjcsMC4yYzAuMiwwLjEsMC40LDAuMywwLjUsMC41QzE2LDUsMTYsNS4yLDE2LDUuNnYyLjljMCwwLjIsMCwwLjQsMCwwLjUgYzAsMC4xLDAuMSwwLjIsMC4zLDAuMmMwLjEsMCwwLjIsMCwwLjMsMFY5Ljh6IE0xNS4yLDYuOWMtMS4yLDAuNi0zLjEsMC4yLTMuMSwxLjRjMCwxLjQsMy4xLDEsMy4xLTAuNVY2Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-check: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTkgMTYuMTdMNC44MyAxMmwtMS40MiAxLjQxTDkgMTkgMjEgN2wtMS40MS0xLjQxeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-circle-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDJDNi40NyAyIDIgNi40NyAyIDEyczQuNDcgMTAgMTAgMTAgMTAtNC40NyAxMC0xMFMxNy41MyAyIDEyIDJ6bTAgMThjLTQuNDEgMC04LTMuNTktOC04czMuNTktOCA4LTggOCAzLjU5IDggOC0zLjU5IDgtOCA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-circle: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iOSIgY3k9IjkiIHI9IjgiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-clear: url(data:image/svg+xml;base64,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);
+  --jp-icon-close: url(data:image/svg+xml;base64,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);
+  --jp-icon-console: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwMCAyMDAiPgogIDxnIGNsYXNzPSJqcC1pY29uLWJyYW5kMSBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiMwMjg4RDEiPgogICAgPHBhdGggZD0iTTIwIDE5LjhoMTYwdjE1OS45SDIweiIvPgogIDwvZz4KICA8ZyBjbGFzcz0ianAtaWNvbi1zZWxlY3RhYmxlLWludmVyc2UiIGZpbGw9IiNmZmYiPgogICAgPHBhdGggZD0iTTEwNSAxMjcuM2g0MHYxMi44aC00MHpNNTEuMSA3N0w3NCA5OS45bC0yMy4zIDIzLjMgMTAuNSAxMC41IDIzLjMtMjMuM0w5NSA5OS45IDg0LjUgODkuNCA2MS42IDY2LjV6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-copy: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTExLjksMUgzLjJDMi40LDEsMS43LDEuNywxLjcsMi41djEwLjJoMS41VjIuNWg4LjdWMXogTTE0LjEsMy45aC04Yy0wLjgsMC0xLjUsMC43LTEuNSwxLjV2MTAuMmMwLDAuOCwwLjcsMS41LDEuNSwxLjVoOCBjMC44LDAsMS41LTAuNywxLjUtMS41VjUuNEMxNS41LDQuNiwxNC45LDMuOSwxNC4xLDMuOXogTTE0LjEsMTUuNWgtOFY1LjRoOFYxNS41eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-cut: url(data:image/svg+xml;base64,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);
+  --jp-icon-download: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDloLTRWM0g5djZINWw3IDcgNy03ek01IDE4djJoMTR2LTJINXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-edit: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMgMTcuMjVWMjFoMy43NUwxNy44MSA5Ljk0bC0zLjc1LTMuNzVMMyAxNy4yNXpNMjAuNzEgNy4wNGMuMzktLjM5LjM5LTEuMDIgMC0xLjQxbC0yLjM0LTIuMzRjLS4zOS0uMzktMS4wMi0uMzktMS40MSAwbC0xLjgzIDEuODMgMy43NSAzLjc1IDEuODMtMS44M3oiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-ellipses: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iNSIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxMiIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxOSIgY3k9IjEyIiByPSIyIi8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-extension: url(data:image/svg+xml;base64,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);
+  --jp-icon-fast-forward: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTQgMThsOC41LTZMNCA2djEyem05LTEydjEybDguNS02TDEzIDZ6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-file-upload: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTkgMTZoNnYtNmg0bC03LTctNyA3aDR6bS00IDJoMTR2Mkg1eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-file: url(data:image/svg+xml;base64,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);
+  --jp-icon-filter-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEwIDE4aDR2LTJoLTR2MnpNMyA2djJoMThWNkgzem0zIDdoMTJ2LTJINnYyeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY4YzAtMS4xLS45LTItMi0yaC04bC0yLTJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-html5: url(data:image/svg+xml;base64,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);
+  --jp-icon-image: url(data:image/svg+xml;base64,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);
+  --jp-icon-inspector: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY2YzAtMS4xLS45LTItMi0yem0tNSAxNEg0di00aDExdjR6bTAtNUg0VjloMTF2NHptNSA1aC00VjloNHY5eiIvPgo8L3N2Zz4K);
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+  --jp-icon-jupyter-favicon: url(data:image/svg+xml;base64,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);
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+  --jp-icon-jupyterlab-wordmark: 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+  --jp-icon-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzYxNjE2MSIgZD0iTTE1IDlIOXY2aDZWOXptLTIgNGgtMnYtMmgydjJ6bTgtMlY5aC0yVjdjMC0xLjEtLjktMi0yLTJoLTJWM2gtMnYyaC0yVjNIOXYySDdjLTEuMSAwLTIgLjktMiAydjJIM3YyaDJ2MkgzdjJoMnYyYzAgMS4xLjkgMiAyIDJoMnYyaDJ2LTJoMnYyaDJ2LTJoMmMxLjEgMCAyLS45IDItMnYtMmgydi0yaC0ydi0yaDJ6bS00IDZIN1Y3aDEwdjEweiIvPgo8L3N2Zz4K);
+  --jp-icon-keyboard: url(data:image/svg+xml;base64,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);
+  --jp-icon-launcher: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkgMTlINVY1aDdWM0g1YTIgMiAwIDAwLTIgMnYxNGEyIDIgMCAwMDIgMmgxNGMxLjEgMCAyLS45IDItMnYtN2gtMnY3ek0xNCAzdjJoMy41OWwtOS44MyA5LjgzIDEuNDEgMS40MUwxOSA2LjQxVjEwaDJWM2gtN3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-line-form: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGZpbGw9IndoaXRlIiBkPSJNNS44OCA0LjEyTDEzLjc2IDEybC03Ljg4IDcuODhMOCAyMmwxMC0xMEw4IDJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-link: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMuOSAxMmMwLTEuNzEgMS4zOS0zLjEgMy4xLTMuMWg0VjdIN2MtMi43NiAwLTUgMi4yNC01IDVzMi4yNCA1IDUgNWg0di0xLjlIN2MtMS43MSAwLTMuMS0xLjM5LTMuMS0zLjF6TTggMTNoOHYtMkg4djJ6bTktNmgtNHYxLjloNGMxLjcxIDAgMy4xIDEuMzkgMy4xIDMuMXMtMS4zOSAzLjEtMy4xIDMuMWgtNFYxN2g0YzIuNzYgMCA1LTIuMjQgNS01cy0yLjI0LTUtNS01eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xOSA1djE0SDVWNWgxNG0xLjEtMkgzLjljLS41IDAtLjkuNC0uOS45djE2LjJjMCAuNC40LjkuOS45aDE2LjJjLjQgMCAuOS0uNS45LS45VjMuOWMwLS41LS41LS45LS45LS45ek0xMSA3aDZ2MmgtNlY3em0wIDRoNnYyaC02di0yem0wIDRoNnYyaC02ek03IDdoMnYySDd6bTAgNGgydjJIN3ptMCA0aDJ2Mkg3eiIvPgo8L3N2Zz4=);
+  --jp-icon-listings-info: url(data:image/svg+xml;base64,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);
+  --jp-icon-markdown: url(data:image/svg+xml;base64,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);
+  --jp-icon-new-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIwIDZoLThsLTItMkg0Yy0xLjExIDAtMS45OS44OS0xLjk5IDJMMiAxOGMwIDEuMTEuODkgMiAyIDJoMTZjMS4xMSAwIDItLjg5IDItMlY4YzAtMS4xMS0uODktMi0yLTJ6bS0xIDhoLTN2M2gtMnYtM2gtM3YtMmgzVjloMnYzaDN2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-not-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-notebook: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbi13YXJuMCBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNFRjZDMDAiPgogICAgPHBhdGggZD0iTTE4LjcgMy4zdjE1LjRIMy4zVjMuM2gxNS40bTEuNS0xLjVIMS44djE4LjNoMTguM2wuMS0xOC4zeiIvPgogICAgPHBhdGggZD0iTTE2LjUgMTYuNWwtNS40LTQuMy01LjYgNC4zdi0xMWgxMXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-palette: url(data:image/svg+xml;base64,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);
+  --jp-icon-paste: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE5IDJoLTQuMThDMTQuNC44NCAxMy4zIDAgMTIgMGMtMS4zIDAtMi40Ljg0LTIuODIgMkg1Yy0xLjEgMC0yIC45LTIgMnYxNmMwIDEuMS45IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjRjMC0xLjEtLjktMi0yLTJ6bS03IDBjLjU1IDAgMSAuNDUgMSAxcy0uNDUgMS0xIDEtMS0uNDUtMS0xIC40NS0xIDEtMXptNyAxOEg1VjRoMnYzaDEwVjRoMnYxNnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-python: url(data:image/svg+xml;base64,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);
+  --jp-icon-r-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjE5NkYzIiBkPSJNNC40IDIuNWMxLjItLjEgMi45LS4zIDQuOS0uMyAyLjUgMCA0LjEuNCA1LjIgMS4zIDEgLjcgMS41IDEuOSAxLjUgMy41IDAgMi0xLjQgMy41LTIuOSA0LjEgMS4yLjQgMS43IDEuNiAyLjIgMyAuNiAxLjkgMSAzLjkgMS4zIDQuNmgtMy44Yy0uMy0uNC0uOC0xLjctMS4yLTMuN3MtMS4yLTIuNi0yLjYtMi42aC0uOXY2LjRINC40VjIuNXptMy43IDYuOWgxLjRjMS45IDAgMi45LS45IDIuOS0yLjNzLTEtMi4zLTIuOC0yLjNjLS43IDAtMS4zIDAtMS42LjJ2NC41aC4xdi0uMXoiLz4KPC9zdmc+Cg==);
+  --jp-icon-react: url(data:image/svg+xml;base64,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);
+  --jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-regex: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KICA8ZyBjbGFzcz0ianAtaWNvbjIiIGZpbGw9IiM0MTQxNDEiPgogICAgPHJlY3QgeD0iMiIgeT0iMiIgd2lkdGg9IjE2IiBoZWlnaHQ9IjE2Ii8+CiAgPC9nPgoKICA8ZyBjbGFzcz0ianAtaWNvbi1hY2NlbnQyIiBmaWxsPSIjRkZGIj4KICAgIDxjaXJjbGUgY2xhc3M9InN0MiIgY3g9IjUuNSIgY3k9IjE0LjUiIHI9IjEuNSIvPgogICAgPHJlY3QgeD0iMTIiIHk9IjQiIGNsYXNzPSJzdDIiIHdpZHRoPSIxIiBoZWlnaHQ9IjgiLz4KICAgIDxyZWN0IHg9IjguNSIgeT0iNy41IiB0cmFuc2Zvcm09Im1hdHJpeCgwLjg2NiAtMC41IDAuNSAwLjg2NiAtMi4zMjU1IDcuMzIxOSkiIGNsYXNzPSJzdDIiIHdpZHRoPSI4IiBoZWlnaHQ9IjEiLz4KICAgIDxyZWN0IHg9IjEyIiB5PSI0IiB0cmFuc2Zvcm09Im1hdHJpeCgwLjUgLTAuODY2IDAuODY2IDAuNSAtMC42Nzc5IDE0LjgyNTIpIiBjbGFzcz0ic3QyIiB3aWR0aD0iMSIgaGVpZ2h0PSI4Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-run: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTggNXYxNGwxMS03eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-running: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMjU2IDhDMTE5IDggOCAxMTkgOCAyNTZzMTExIDI0OCAyNDggMjQ4IDI0OC0xMTEgMjQ4LTI0OFMzOTMgOCAyNTYgOHptOTYgMzI4YzAgOC44LTcuMiAxNi0xNiAxNkgxNzZjLTguOCAwLTE2LTcuMi0xNi0xNlYxNzZjMC04LjggNy4yLTE2IDE2LTE2aDE2MGM4LjggMCAxNiA3LjIgMTYgMTZ2MTYweiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-save: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE3IDNINWMtMS4xMSAwLTIgLjktMiAydjE0YzAgMS4xLjg5IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjdsLTQtNHptLTUgMTZjLTEuNjYgMC0zLTEuMzQtMy0zczEuMzQtMyAzLTMgMyAxLjM0IDMgMy0xLjM0IDMtMyAzem0zLTEwSDVWNWgxMHY0eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-search: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjEsMTAuOWgtMC43bC0wLjItMC4yYzAuOC0wLjksMS4zLTIuMiwxLjMtMy41YzAtMy0yLjQtNS40LTUuNC01LjRTMS44LDQuMiwxLjgsNy4xczIuNCw1LjQsNS40LDUuNCBjMS4zLDAsMi41LTAuNSwzLjUtMS4zbDAuMiwwLjJ2MC43bDQuMSw0LjFsMS4yLTEuMkwxMi4xLDEwLjl6IE03LjEsMTAuOWMtMi4xLDAtMy43LTEuNy0zLjctMy43czEuNy0zLjcsMy43LTMuN3MzLjcsMS43LDMuNywzLjcgUzkuMiwxMC45LDcuMSwxMC45eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-settings: url(data:image/svg+xml;base64,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);
+  --jp-icon-spreadsheet: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNENBRjUwIiBkPSJNMi4yIDIuMnYxNy42aDE3LjZWMi4ySDIuMnptMTUuNCA3LjdoLTUuNVY0LjRoNS41djUuNXpNOS45IDQuNHY1LjVINC40VjQuNGg1LjV6bS01LjUgNy43aDUuNXY1LjVINC40di01LjV6bTcuNyA1LjV2LTUuNWg1LjV2NS41aC01LjV6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-stop: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik02IDZoMTJ2MTJINnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-tab: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIxIDNIM2MtMS4xIDAtMiAuOS0yIDJ2MTRjMCAxLjEuOSAyIDIgMmgxOGMxLjEgMCAyLS45IDItMlY1YzAtMS4xLS45LTItMi0yem0wIDE2SDNWNWgxMHY0aDh2MTB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-terminal: url(data:image/svg+xml;base64,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);
+  --jp-icon-text-editor: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTUgMTVIM3YyaDEydi0yem0wLThIM3YyaDEyVjd6TTMgMTNoMTh2LTJIM3Yyem0wIDhoMTh2LTJIM3Yyek0zIDN2MmgxOFYzSDN6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-yaml: url(data:image/svg+xml;base64,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);
+}
+
+/* Icon CSS class declarations */
+
+.jp-AddIcon {
+  background-image: var(--jp-icon-add);
+}
+.jp-BugIcon {
+  background-image: var(--jp-icon-bug);
+}
+.jp-BuildIcon {
+  background-image: var(--jp-icon-build);
+}
+.jp-CaretDownEmptyIcon {
+  background-image: var(--jp-icon-caret-down-empty);
+}
+.jp-CaretDownEmptyThinIcon {
+  background-image: var(--jp-icon-caret-down-empty-thin);
+}
+.jp-CaretDownIcon {
+  background-image: var(--jp-icon-caret-down);
+}
+.jp-CaretLeftIcon {
+  background-image: var(--jp-icon-caret-left);
+}
+.jp-CaretRightIcon {
+  background-image: var(--jp-icon-caret-right);
+}
+.jp-CaretUpEmptyThinIcon {
+  background-image: var(--jp-icon-caret-up-empty-thin);
+}
+.jp-CaretUpIcon {
+  background-image: var(--jp-icon-caret-up);
+}
+.jp-CaseSensitiveIcon {
+  background-image: var(--jp-icon-case-sensitive);
+}
+.jp-CheckIcon {
+  background-image: var(--jp-icon-check);
+}
+.jp-CircleEmptyIcon {
+  background-image: var(--jp-icon-circle-empty);
+}
+.jp-CircleIcon {
+  background-image: var(--jp-icon-circle);
+}
+.jp-ClearIcon {
+  background-image: var(--jp-icon-clear);
+}
+.jp-CloseIcon {
+  background-image: var(--jp-icon-close);
+}
+.jp-ConsoleIcon {
+  background-image: var(--jp-icon-console);
+}
+.jp-CopyIcon {
+  background-image: var(--jp-icon-copy);
+}
+.jp-CutIcon {
+  background-image: var(--jp-icon-cut);
+}
+.jp-DownloadIcon {
+  background-image: var(--jp-icon-download);
+}
+.jp-EditIcon {
+  background-image: var(--jp-icon-edit);
+}
+.jp-EllipsesIcon {
+  background-image: var(--jp-icon-ellipses);
+}
+.jp-ExtensionIcon {
+  background-image: var(--jp-icon-extension);
+}
+.jp-FastForwardIcon {
+  background-image: var(--jp-icon-fast-forward);
+}
+.jp-FileIcon {
+  background-image: var(--jp-icon-file);
+}
+.jp-FileUploadIcon {
+  background-image: var(--jp-icon-file-upload);
+}
+.jp-FilterListIcon {
+  background-image: var(--jp-icon-filter-list);
+}
+.jp-FolderIcon {
+  background-image: var(--jp-icon-folder);
+}
+.jp-Html5Icon {
+  background-image: var(--jp-icon-html5);
+}
+.jp-ImageIcon {
+  background-image: var(--jp-icon-image);
+}
+.jp-InspectorIcon {
+  background-image: var(--jp-icon-inspector);
+}
+.jp-JsonIcon {
+  background-image: var(--jp-icon-json);
+}
+.jp-JupyterFaviconIcon {
+  background-image: var(--jp-icon-jupyter-favicon);
+}
+.jp-JupyterIcon {
+  background-image: var(--jp-icon-jupyter);
+}
+.jp-JupyterlabWordmarkIcon {
+  background-image: var(--jp-icon-jupyterlab-wordmark);
+}
+.jp-KernelIcon {
+  background-image: var(--jp-icon-kernel);
+}
+.jp-KeyboardIcon {
+  background-image: var(--jp-icon-keyboard);
+}
+.jp-LauncherIcon {
+  background-image: var(--jp-icon-launcher);
+}
+.jp-LineFormIcon {
+  background-image: var(--jp-icon-line-form);
+}
+.jp-LinkIcon {
+  background-image: var(--jp-icon-link);
+}
+.jp-ListIcon {
+  background-image: var(--jp-icon-list);
+}
+.jp-ListingsInfoIcon {
+  background-image: var(--jp-icon-listings-info);
+}
+.jp-MarkdownIcon {
+  background-image: var(--jp-icon-markdown);
+}
+.jp-NewFolderIcon {
+  background-image: var(--jp-icon-new-folder);
+}
+.jp-NotTrustedIcon {
+  background-image: var(--jp-icon-not-trusted);
+}
+.jp-NotebookIcon {
+  background-image: var(--jp-icon-notebook);
+}
+.jp-PaletteIcon {
+  background-image: var(--jp-icon-palette);
+}
+.jp-PasteIcon {
+  background-image: var(--jp-icon-paste);
+}
+.jp-PythonIcon {
+  background-image: var(--jp-icon-python);
+}
+.jp-RKernelIcon {
+  background-image: var(--jp-icon-r-kernel);
+}
+.jp-ReactIcon {
+  background-image: var(--jp-icon-react);
+}
+.jp-RefreshIcon {
+  background-image: var(--jp-icon-refresh);
+}
+.jp-RegexIcon {
+  background-image: var(--jp-icon-regex);
+}
+.jp-RunIcon {
+  background-image: var(--jp-icon-run);
+}
+.jp-RunningIcon {
+  background-image: var(--jp-icon-running);
+}
+.jp-SaveIcon {
+  background-image: var(--jp-icon-save);
+}
+.jp-SearchIcon {
+  background-image: var(--jp-icon-search);
+}
+.jp-SettingsIcon {
+  background-image: var(--jp-icon-settings);
+}
+.jp-SpreadsheetIcon {
+  background-image: var(--jp-icon-spreadsheet);
+}
+.jp-StopIcon {
+  background-image: var(--jp-icon-stop);
+}
+.jp-TabIcon {
+  background-image: var(--jp-icon-tab);
+}
+.jp-TerminalIcon {
+  background-image: var(--jp-icon-terminal);
+}
+.jp-TextEditorIcon {
+  background-image: var(--jp-icon-text-editor);
+}
+.jp-TrustedIcon {
+  background-image: var(--jp-icon-trusted);
+}
+.jp-UndoIcon {
+  background-image: var(--jp-icon-undo);
+}
+.jp-VegaIcon {
+  background-image: var(--jp-icon-vega);
+}
+.jp-YamlIcon {
+  background-image: var(--jp-icon-yaml);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+:root {
+  --jp-icon-search-white: url(data:image/svg+xml;base64,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);
+}
+
+.jp-Icon,
+.jp-MaterialIcon {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-cover {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: cover;
+}
+
+/**
+ * (DEPRECATED) Support for specific CSS icon sizes
+ */
+
+.jp-Icon-16 {
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-18 {
+  background-size: 18px;
+  min-width: 18px;
+  min-height: 18px;
+}
+
+.jp-Icon-20 {
+  background-size: 20px;
+  min-width: 20px;
+  min-height: 20px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for icons as inline SVG HTMLElements
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+.jp-icon1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+.jp-icon2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+.jp-icon3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+.jp-icon4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+.jp-icon1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+.jp-icon2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+.jp-icon3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+.jp-icon4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+/* recolor the accent elements of an icon */
+.jp-icon-accent0[fill] {
+  fill: var(--jp-layout-color0);
+}
+.jp-icon-accent1[fill] {
+  fill: var(--jp-layout-color1);
+}
+.jp-icon-accent2[fill] {
+  fill: var(--jp-layout-color2);
+}
+.jp-icon-accent3[fill] {
+  fill: var(--jp-layout-color3);
+}
+.jp-icon-accent4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-accent0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+.jp-icon-accent1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+.jp-icon-accent2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+.jp-icon-accent3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+.jp-icon-accent4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+/* set the color of an icon to transparent */
+.jp-icon-none[fill] {
+  fill: none;
+}
+
+.jp-icon-none[stroke] {
+  stroke: none;
+}
+/* brand icon colors. Same for light and dark */
+.jp-icon-brand0[fill] {
+  fill: var(--jp-brand-color0);
+}
+.jp-icon-brand1[fill] {
+  fill: var(--jp-brand-color1);
+}
+.jp-icon-brand2[fill] {
+  fill: var(--jp-brand-color2);
+}
+.jp-icon-brand3[fill] {
+  fill: var(--jp-brand-color3);
+}
+.jp-icon-brand4[fill] {
+  fill: var(--jp-brand-color4);
+}
+
+.jp-icon-brand0[stroke] {
+  stroke: var(--jp-brand-color0);
+}
+.jp-icon-brand1[stroke] {
+  stroke: var(--jp-brand-color1);
+}
+.jp-icon-brand2[stroke] {
+  stroke: var(--jp-brand-color2);
+}
+.jp-icon-brand3[stroke] {
+  stroke: var(--jp-brand-color3);
+}
+.jp-icon-brand4[stroke] {
+  stroke: var(--jp-brand-color4);
+}
+/* warn icon colors. Same for light and dark */
+.jp-icon-warn0[fill] {
+  fill: var(--jp-warn-color0);
+}
+.jp-icon-warn1[fill] {
+  fill: var(--jp-warn-color1);
+}
+.jp-icon-warn2[fill] {
+  fill: var(--jp-warn-color2);
+}
+.jp-icon-warn3[fill] {
+  fill: var(--jp-warn-color3);
+}
+
+.jp-icon-warn0[stroke] {
+  stroke: var(--jp-warn-color0);
+}
+.jp-icon-warn1[stroke] {
+  stroke: var(--jp-warn-color1);
+}
+.jp-icon-warn2[stroke] {
+  stroke: var(--jp-warn-color2);
+}
+.jp-icon-warn3[stroke] {
+  stroke: var(--jp-warn-color3);
+}
+/* icon colors that contrast well with each other and most backgrounds */
+.jp-icon-contrast0[fill] {
+  fill: var(--jp-icon-contrast-color0);
+}
+.jp-icon-contrast1[fill] {
+  fill: var(--jp-icon-contrast-color1);
+}
+.jp-icon-contrast2[fill] {
+  fill: var(--jp-icon-contrast-color2);
+}
+.jp-icon-contrast3[fill] {
+  fill: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-contrast0[stroke] {
+  stroke: var(--jp-icon-contrast-color0);
+}
+.jp-icon-contrast1[stroke] {
+  stroke: var(--jp-icon-contrast-color1);
+}
+.jp-icon-contrast2[stroke] {
+  stroke: var(--jp-icon-contrast-color2);
+}
+.jp-icon-contrast3[stroke] {
+  stroke: var(--jp-icon-contrast-color3);
+}
+
+/* CSS for icons in selected items in the settings editor */
+#setting-editor .jp-PluginList .jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+#setting-editor
+  .jp-PluginList
+  .jp-mod-selected
+  .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* CSS for icons in selected filebrowser listing items */
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* CSS for icons in selected tabs in the sidebar tab manager */
+#tab-manager .lm-TabBar-tab.jp-mod-active .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+#tab-manager .lm-TabBar-tab.jp-mod-active .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+#tab-manager
+  .lm-TabBar-tab.jp-mod-active
+  .jp-icon-hover
+  :hover
+  .jp-icon-selectable[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+#tab-manager
+  .lm-TabBar-tab.jp-mod-active
+  .jp-icon-hover
+  :hover
+  .jp-icon-selectable-inverse[fill] {
+  fill: #fff;
+}
+
+/**
+ * TODO: come up with non css-hack solution for showing the busy icon on top
+ *  of the close icon
+ * CSS for complex behavior of close icon of tabs in the sidebar tab manager
+ */
+#tab-manager
+  .lm-TabBar-tab.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon3[fill] {
+  fill: none;
+}
+#tab-manager
+  .lm-TabBar-tab.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon-busy[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+#tab-manager
+  .lm-TabBar-tab.jp-mod-dirty.jp-mod-active
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon-busy[fill] {
+  fill: #fff;
+}
+
+/**
+* TODO: come up with non css-hack solution for showing the busy icon on top
+*  of the close icon
+* CSS for complex behavior of close icon of tabs in the main area tabbar
+*/
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon3[fill] {
+  fill: none;
+}
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon-busy[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+/* CSS for icons in status bar */
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+/* special handling for splash icon CSS. While the theme CSS reloads during
+   splash, the splash icon can loose theming. To prevent that, we set a
+   default for its color variable */
+:root {
+  --jp-warn-color0: var(--md-orange-700);
+}
+
+/* not sure what to do with this one, used in filebrowser listing */
+.jp-DragIcon {
+  margin-right: 4px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for alt colors for icons as inline SVG HTMLElements
+ */
+
+/* alt recolor the primary elements of an icon */
+.jp-icon-alt .jp-icon0[fill] {
+  fill: var(--jp-layout-color0);
+}
+.jp-icon-alt .jp-icon1[fill] {
+  fill: var(--jp-layout-color1);
+}
+.jp-icon-alt .jp-icon2[fill] {
+  fill: var(--jp-layout-color2);
+}
+.jp-icon-alt .jp-icon3[fill] {
+  fill: var(--jp-layout-color3);
+}
+.jp-icon-alt .jp-icon4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-alt .jp-icon0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+.jp-icon-alt .jp-icon1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+.jp-icon-alt .jp-icon2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+.jp-icon-alt .jp-icon3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+.jp-icon-alt .jp-icon4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* alt recolor the accent elements of an icon */
+.jp-icon-alt .jp-icon-accent0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+.jp-icon-alt .jp-icon-accent1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+.jp-icon-alt .jp-icon-accent2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+.jp-icon-alt .jp-icon-accent3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+.jp-icon-alt .jp-icon-accent4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-alt .jp-icon-accent0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+.jp-icon-alt .jp-icon-accent1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+.jp-icon-alt .jp-icon-accent2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+.jp-icon-alt .jp-icon-accent3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+.jp-icon-alt .jp-icon-accent4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-icon-hoverShow:not(:hover) svg {
+  display: none !important;
+}
+
+/**
+ * Support for hover colors for icons as inline SVG HTMLElements
+ */
+
+/**
+ * regular colors
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon-hover :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+.jp-icon-hover :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+.jp-icon-hover :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+.jp-icon-hover :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+.jp-icon-hover :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+.jp-icon-hover :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+.jp-icon-hover :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+.jp-icon-hover :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+.jp-icon-hover :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-hover :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+.jp-icon-hover :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+.jp-icon-hover :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+.jp-icon-hover :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+.jp-icon-hover :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+.jp-icon-hover :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+.jp-icon-hover :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+.jp-icon-hover :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+.jp-icon-hover :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-hover :hover .jp-icon-none-hover[fill] {
+  fill: none;
+}
+
+.jp-icon-hover :hover .jp-icon-none-hover[stroke] {
+  stroke: none;
+}
+
+/**
+ * inverse colors
+ */
+
+/* inverse recolor the primary elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* inverse recolor the accent elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* Sibling imports */
+
+/* Override Blueprint's _reset.scss styles */
+html {
+  box-sizing: unset;
+}
+
+*,
+*::before,
+*::after {
+  box-sizing: unset;
+}
+
+body {
+  color: unset;
+  font-family: var(--jp-ui-font-family);
+}
+
+p {
+  margin-top: unset;
+  margin-bottom: unset;
+}
+
+small {
+  font-size: unset;
+}
+
+strong {
+  font-weight: unset;
+}
+
+/* Override Blueprint's _typography.scss styles */
+a {
+  text-decoration: unset;
+  color: unset;
+}
+a:hover {
+  text-decoration: unset;
+  color: unset;
+}
+
+/* Override Blueprint's _accessibility.scss styles */
+:focus {
+  outline: unset;
+  outline-offset: unset;
+  -moz-outline-radius: unset;
+}
+
+/* Styles for ui-components */
+.jp-Button {
+  border-radius: var(--jp-border-radius);
+  padding: 0px 12px;
+  font-size: var(--jp-ui-font-size1);
+}
+
+/* Use our own theme for hover styles */
+button.jp-Button.bp3-button.bp3-minimal:hover {
+  background-color: var(--jp-layout-color2);
+}
+.jp-Button.minimal {
+  color: unset !important;
+}
+
+.jp-Button.jp-ToolbarButtonComponent {
+  text-transform: none;
+}
+
+.jp-InputGroup input {
+  box-sizing: border-box;
+  border-radius: 0;
+  background-color: transparent;
+  color: var(--jp-ui-font-color0);
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+}
+
+.jp-InputGroup input:focus {
+  box-shadow: inset 0 0 0 var(--jp-border-width)
+      var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-InputGroup input::placeholder,
+input::placeholder {
+  color: var(--jp-ui-font-color3);
+}
+
+.jp-BPIcon {
+  display: inline-block;
+  vertical-align: middle;
+  margin: auto;
+}
+
+/* Stop blueprint futzing with our icon fills */
+.bp3-icon.jp-BPIcon > svg:not([fill]) {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-InputGroupAction {
+  padding: 6px;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select {
+  background-color: initial;
+  border: none;
+  border-radius: 0;
+  box-shadow: none;
+  color: var(--jp-ui-font-color0);
+  display: block;
+  font-size: var(--jp-ui-font-size1);
+  height: 24px;
+  line-height: 14px;
+  padding: 0 25px 0 10px;
+  text-align: left;
+  -moz-appearance: none;
+  -webkit-appearance: none;
+}
+
+/* Use our own theme for hover and option styles */
+.jp-HTMLSelect.jp-DefaultStyle select:hover,
+.jp-HTMLSelect.jp-DefaultStyle select > option {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color0);
+}
+select {
+  box-sizing: border-box;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensurePackage() in @jupyterlab/buildutils */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapse {
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+  border-top: 1px solid var(--jp-border-color2);
+  border-bottom: 1px solid var(--jp-border-color2);
+}
+
+.jp-Collapse-header {
+  padding: 1px 12px;
+  color: var(--jp-ui-font-color1);
+  background-color: var(--jp-layout-color1);
+  font-size: var(--jp-ui-font-size2);
+}
+
+.jp-Collapse-header:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-Collapse-contents {
+  padding: 0px 12px 0px 12px;
+  background-color: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-commandpalette-search-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Overall styles
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+  padding-bottom: 0px;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Search
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-search {
+  padding: 4px;
+  background-color: var(--jp-layout-color1);
+  z-index: 2;
+}
+
+.lm-CommandPalette-wrapper {
+  overflow: overlay;
+  padding: 0px 9px;
+  background-color: var(--jp-input-active-background);
+  height: 30px;
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+}
+
+.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper {
+  box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.lm-CommandPalette-wrapper::after {
+  content: ' ';
+  color: white;
+  background-color: var(--jp-brand-color1);
+  position: absolute;
+  top: 4px;
+  right: 4px;
+  height: 30px;
+  width: 10px;
+  padding: 0px 10px;
+  background-image: var(--jp-icon-search-white);
+  background-size: 20px;
+  background-repeat: no-repeat;
+  background-position: center;
+}
+
+.lm-CommandPalette-input {
+  background: transparent;
+  width: calc(100% - 18px);
+  float: left;
+  border: none;
+  outline: none;
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  line-height: var(--jp-private-commandpalette-search-height);
+}
+
+.lm-CommandPalette-input::-webkit-input-placeholder,
+.lm-CommandPalette-input::-moz-placeholder,
+.lm-CommandPalette-input:-ms-input-placeholder {
+  color: var(--jp-ui-font-color3);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Results
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-header:first-child {
+  margin-top: 0px;
+}
+
+.lm-CommandPalette-header {
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin-top: 8px;
+  padding: 8px 0 8px 12px;
+  text-transform: uppercase;
+}
+
+.lm-CommandPalette-header.lm-mod-active {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-header > mark {
+  background-color: transparent;
+  font-weight: bold;
+  color: var(--jp-ui-font-color1);
+}
+
+.lm-CommandPalette-item {
+  padding: 4px 12px 4px 4px;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  font-weight: 400;
+  display: flex;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled {
+  color: var(--jp-ui-font-color3);
+}
+
+.lm-CommandPalette-item.lm-mod-active {
+  background: var(--jp-layout-color3);
+}
+
+.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) {
+  background: var(--jp-layout-color4);
+}
+
+.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-itemContent {
+  overflow: hidden;
+}
+
+.lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled mark {
+  color: var(--jp-ui-font-color3);
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemIcon {
+  margin: 0 4px 0 0;
+  position: relative;
+  width: 16px;
+  top: 2px;
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon {
+  opacity: 0.4;
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemShortcut {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemCaption {
+  display: none;
+}
+
+.lm-CommandPalette-content {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-CommandPalette-content:empty:after {
+  content: 'No results';
+  margin: auto;
+  margin-top: 20px;
+  width: 100px;
+  display: block;
+  font-size: var(--jp-ui-font-size2);
+  font-family: var(--jp-ui-font-family);
+  font-weight: lighter;
+}
+
+.lm-CommandPalette-emptyMessage {
+  text-align: center;
+  margin-top: 24px;
+  line-height: 1.32;
+  padding: 0px 8px;
+  color: var(--jp-content-font-color3);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Dialog {
+  position: absolute;
+  z-index: 10000;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  justify-content: center;
+  top: 0px;
+  left: 0px;
+  margin: 0;
+  padding: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-dialog-background);
+}
+
+.jp-Dialog-content {
+  display: flex;
+  flex-direction: column;
+  margin-left: auto;
+  margin-right: auto;
+  background: var(--jp-layout-color1);
+  padding: 24px;
+  padding-bottom: 12px;
+  min-width: 300px;
+  min-height: 150px;
+  max-width: 1000px;
+  max-height: 500px;
+  box-sizing: border-box;
+  box-shadow: var(--jp-elevation-z20);
+  word-wrap: break-word;
+  border-radius: var(--jp-border-radius);
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-Dialog-button {
+  overflow: visible;
+}
+
+button.jp-Dialog-button:focus {
+  outline: 1px solid var(--jp-brand-color1);
+  outline-offset: 4px;
+  -moz-outline-radius: 0px;
+}
+
+button.jp-Dialog-button:focus::-moz-focus-inner {
+  border: 0;
+}
+
+.jp-Dialog-header {
+  flex: 0 0 auto;
+  padding-bottom: 12px;
+  font-size: var(--jp-ui-font-size3);
+  font-weight: 400;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-Dialog-body {
+  display: flex;
+  flex-direction: column;
+  flex: 1 1 auto;
+  font-size: var(--jp-ui-font-size1);
+  background: var(--jp-layout-color1);
+  overflow: auto;
+}
+
+.jp-Dialog-footer {
+  display: flex;
+  flex-direction: row;
+  justify-content: flex-end;
+  flex: 0 0 auto;
+  margin-left: -12px;
+  margin-right: -12px;
+  padding: 12px;
+}
+
+.jp-Dialog-title {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.jp-Dialog-body > .jp-select-wrapper {
+  width: 100%;
+}
+
+.jp-Dialog-body > button {
+  padding: 0px 16px;
+}
+
+.jp-Dialog-body > label {
+  line-height: 1.4;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-Dialog-button.jp-mod-styled:not(:last-child) {
+  margin-right: 12px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-HoverBox {
+  position: fixed;
+}
+
+.jp-HoverBox.jp-mod-outofview {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-IFrame {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-IFrame > iframe {
+  border: none;
+}
+
+/*
+When drag events occur, `p-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-IFrame {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-IFrame:before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MainAreaWidget > :focus {
+  outline: none;
+}
+
+/**
+ * google-material-color v1.2.6
+ * https://github.com/danlevan/google-material-color
+ */
+:root {
+  --md-red-50: #ffebee;
+  --md-red-100: #ffcdd2;
+  --md-red-200: #ef9a9a;
+  --md-red-300: #e57373;
+  --md-red-400: #ef5350;
+  --md-red-500: #f44336;
+  --md-red-600: #e53935;
+  --md-red-700: #d32f2f;
+  --md-red-800: #c62828;
+  --md-red-900: #b71c1c;
+  --md-red-A100: #ff8a80;
+  --md-red-A200: #ff5252;
+  --md-red-A400: #ff1744;
+  --md-red-A700: #d50000;
+
+  --md-pink-50: #fce4ec;
+  --md-pink-100: #f8bbd0;
+  --md-pink-200: #f48fb1;
+  --md-pink-300: #f06292;
+  --md-pink-400: #ec407a;
+  --md-pink-500: #e91e63;
+  --md-pink-600: #d81b60;
+  --md-pink-700: #c2185b;
+  --md-pink-800: #ad1457;
+  --md-pink-900: #880e4f;
+  --md-pink-A100: #ff80ab;
+  --md-pink-A200: #ff4081;
+  --md-pink-A400: #f50057;
+  --md-pink-A700: #c51162;
+
+  --md-purple-50: #f3e5f5;
+  --md-purple-100: #e1bee7;
+  --md-purple-200: #ce93d8;
+  --md-purple-300: #ba68c8;
+  --md-purple-400: #ab47bc;
+  --md-purple-500: #9c27b0;
+  --md-purple-600: #8e24aa;
+  --md-purple-700: #7b1fa2;
+  --md-purple-800: #6a1b9a;
+  --md-purple-900: #4a148c;
+  --md-purple-A100: #ea80fc;
+  --md-purple-A200: #e040fb;
+  --md-purple-A400: #d500f9;
+  --md-purple-A700: #aa00ff;
+
+  --md-deep-purple-50: #ede7f6;
+  --md-deep-purple-100: #d1c4e9;
+  --md-deep-purple-200: #b39ddb;
+  --md-deep-purple-300: #9575cd;
+  --md-deep-purple-400: #7e57c2;
+  --md-deep-purple-500: #673ab7;
+  --md-deep-purple-600: #5e35b1;
+  --md-deep-purple-700: #512da8;
+  --md-deep-purple-800: #4527a0;
+  --md-deep-purple-900: #311b92;
+  --md-deep-purple-A100: #b388ff;
+  --md-deep-purple-A200: #7c4dff;
+  --md-deep-purple-A400: #651fff;
+  --md-deep-purple-A700: #6200ea;
+
+  --md-indigo-50: #e8eaf6;
+  --md-indigo-100: #c5cae9;
+  --md-indigo-200: #9fa8da;
+  --md-indigo-300: #7986cb;
+  --md-indigo-400: #5c6bc0;
+  --md-indigo-500: #3f51b5;
+  --md-indigo-600: #3949ab;
+  --md-indigo-700: #303f9f;
+  --md-indigo-800: #283593;
+  --md-indigo-900: #1a237e;
+  --md-indigo-A100: #8c9eff;
+  --md-indigo-A200: #536dfe;
+  --md-indigo-A400: #3d5afe;
+  --md-indigo-A700: #304ffe;
+
+  --md-blue-50: #e3f2fd;
+  --md-blue-100: #bbdefb;
+  --md-blue-200: #90caf9;
+  --md-blue-300: #64b5f6;
+  --md-blue-400: #42a5f5;
+  --md-blue-500: #2196f3;
+  --md-blue-600: #1e88e5;
+  --md-blue-700: #1976d2;
+  --md-blue-800: #1565c0;
+  --md-blue-900: #0d47a1;
+  --md-blue-A100: #82b1ff;
+  --md-blue-A200: #448aff;
+  --md-blue-A400: #2979ff;
+  --md-blue-A700: #2962ff;
+
+  --md-light-blue-50: #e1f5fe;
+  --md-light-blue-100: #b3e5fc;
+  --md-light-blue-200: #81d4fa;
+  --md-light-blue-300: #4fc3f7;
+  --md-light-blue-400: #29b6f6;
+  --md-light-blue-500: #03a9f4;
+  --md-light-blue-600: #039be5;
+  --md-light-blue-700: #0288d1;
+  --md-light-blue-800: #0277bd;
+  --md-light-blue-900: #01579b;
+  --md-light-blue-A100: #80d8ff;
+  --md-light-blue-A200: #40c4ff;
+  --md-light-blue-A400: #00b0ff;
+  --md-light-blue-A700: #0091ea;
+
+  --md-cyan-50: #e0f7fa;
+  --md-cyan-100: #b2ebf2;
+  --md-cyan-200: #80deea;
+  --md-cyan-300: #4dd0e1;
+  --md-cyan-400: #26c6da;
+  --md-cyan-500: #00bcd4;
+  --md-cyan-600: #00acc1;
+  --md-cyan-700: #0097a7;
+  --md-cyan-800: #00838f;
+  --md-cyan-900: #006064;
+  --md-cyan-A100: #84ffff;
+  --md-cyan-A200: #18ffff;
+  --md-cyan-A400: #00e5ff;
+  --md-cyan-A700: #00b8d4;
+
+  --md-teal-50: #e0f2f1;
+  --md-teal-100: #b2dfdb;
+  --md-teal-200: #80cbc4;
+  --md-teal-300: #4db6ac;
+  --md-teal-400: #26a69a;
+  --md-teal-500: #009688;
+  --md-teal-600: #00897b;
+  --md-teal-700: #00796b;
+  --md-teal-800: #00695c;
+  --md-teal-900: #004d40;
+  --md-teal-A100: #a7ffeb;
+  --md-teal-A200: #64ffda;
+  --md-teal-A400: #1de9b6;
+  --md-teal-A700: #00bfa5;
+
+  --md-green-50: #e8f5e9;
+  --md-green-100: #c8e6c9;
+  --md-green-200: #a5d6a7;
+  --md-green-300: #81c784;
+  --md-green-400: #66bb6a;
+  --md-green-500: #4caf50;
+  --md-green-600: #43a047;
+  --md-green-700: #388e3c;
+  --md-green-800: #2e7d32;
+  --md-green-900: #1b5e20;
+  --md-green-A100: #b9f6ca;
+  --md-green-A200: #69f0ae;
+  --md-green-A400: #00e676;
+  --md-green-A700: #00c853;
+
+  --md-light-green-50: #f1f8e9;
+  --md-light-green-100: #dcedc8;
+  --md-light-green-200: #c5e1a5;
+  --md-light-green-300: #aed581;
+  --md-light-green-400: #9ccc65;
+  --md-light-green-500: #8bc34a;
+  --md-light-green-600: #7cb342;
+  --md-light-green-700: #689f38;
+  --md-light-green-800: #558b2f;
+  --md-light-green-900: #33691e;
+  --md-light-green-A100: #ccff90;
+  --md-light-green-A200: #b2ff59;
+  --md-light-green-A400: #76ff03;
+  --md-light-green-A700: #64dd17;
+
+  --md-lime-50: #f9fbe7;
+  --md-lime-100: #f0f4c3;
+  --md-lime-200: #e6ee9c;
+  --md-lime-300: #dce775;
+  --md-lime-400: #d4e157;
+  --md-lime-500: #cddc39;
+  --md-lime-600: #c0ca33;
+  --md-lime-700: #afb42b;
+  --md-lime-800: #9e9d24;
+  --md-lime-900: #827717;
+  --md-lime-A100: #f4ff81;
+  --md-lime-A200: #eeff41;
+  --md-lime-A400: #c6ff00;
+  --md-lime-A700: #aeea00;
+
+  --md-yellow-50: #fffde7;
+  --md-yellow-100: #fff9c4;
+  --md-yellow-200: #fff59d;
+  --md-yellow-300: #fff176;
+  --md-yellow-400: #ffee58;
+  --md-yellow-500: #ffeb3b;
+  --md-yellow-600: #fdd835;
+  --md-yellow-700: #fbc02d;
+  --md-yellow-800: #f9a825;
+  --md-yellow-900: #f57f17;
+  --md-yellow-A100: #ffff8d;
+  --md-yellow-A200: #ffff00;
+  --md-yellow-A400: #ffea00;
+  --md-yellow-A700: #ffd600;
+
+  --md-amber-50: #fff8e1;
+  --md-amber-100: #ffecb3;
+  --md-amber-200: #ffe082;
+  --md-amber-300: #ffd54f;
+  --md-amber-400: #ffca28;
+  --md-amber-500: #ffc107;
+  --md-amber-600: #ffb300;
+  --md-amber-700: #ffa000;
+  --md-amber-800: #ff8f00;
+  --md-amber-900: #ff6f00;
+  --md-amber-A100: #ffe57f;
+  --md-amber-A200: #ffd740;
+  --md-amber-A400: #ffc400;
+  --md-amber-A700: #ffab00;
+
+  --md-orange-50: #fff3e0;
+  --md-orange-100: #ffe0b2;
+  --md-orange-200: #ffcc80;
+  --md-orange-300: #ffb74d;
+  --md-orange-400: #ffa726;
+  --md-orange-500: #ff9800;
+  --md-orange-600: #fb8c00;
+  --md-orange-700: #f57c00;
+  --md-orange-800: #ef6c00;
+  --md-orange-900: #e65100;
+  --md-orange-A100: #ffd180;
+  --md-orange-A200: #ffab40;
+  --md-orange-A400: #ff9100;
+  --md-orange-A700: #ff6d00;
+
+  --md-deep-orange-50: #fbe9e7;
+  --md-deep-orange-100: #ffccbc;
+  --md-deep-orange-200: #ffab91;
+  --md-deep-orange-300: #ff8a65;
+  --md-deep-orange-400: #ff7043;
+  --md-deep-orange-500: #ff5722;
+  --md-deep-orange-600: #f4511e;
+  --md-deep-orange-700: #e64a19;
+  --md-deep-orange-800: #d84315;
+  --md-deep-orange-900: #bf360c;
+  --md-deep-orange-A100: #ff9e80;
+  --md-deep-orange-A200: #ff6e40;
+  --md-deep-orange-A400: #ff3d00;
+  --md-deep-orange-A700: #dd2c00;
+
+  --md-brown-50: #efebe9;
+  --md-brown-100: #d7ccc8;
+  --md-brown-200: #bcaaa4;
+  --md-brown-300: #a1887f;
+  --md-brown-400: #8d6e63;
+  --md-brown-500: #795548;
+  --md-brown-600: #6d4c41;
+  --md-brown-700: #5d4037;
+  --md-brown-800: #4e342e;
+  --md-brown-900: #3e2723;
+
+  --md-grey-50: #fafafa;
+  --md-grey-100: #f5f5f5;
+  --md-grey-200: #eeeeee;
+  --md-grey-300: #e0e0e0;
+  --md-grey-400: #bdbdbd;
+  --md-grey-500: #9e9e9e;
+  --md-grey-600: #757575;
+  --md-grey-700: #616161;
+  --md-grey-800: #424242;
+  --md-grey-900: #212121;
+
+  --md-blue-grey-50: #eceff1;
+  --md-blue-grey-100: #cfd8dc;
+  --md-blue-grey-200: #b0bec5;
+  --md-blue-grey-300: #90a4ae;
+  --md-blue-grey-400: #78909c;
+  --md-blue-grey-500: #607d8b;
+  --md-blue-grey-600: #546e7a;
+  --md-blue-grey-700: #455a64;
+  --md-blue-grey-800: #37474f;
+  --md-blue-grey-900: #263238;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Spinner {
+  position: absolute;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  z-index: 10;
+  left: 0;
+  top: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-layout-color0);
+  outline: none;
+}
+
+.jp-SpinnerContent {
+  font-size: 10px;
+  margin: 50px auto;
+  text-indent: -9999em;
+  width: 3em;
+  height: 3em;
+  border-radius: 50%;
+  background: var(--jp-brand-color3);
+  background: linear-gradient(
+    to right,
+    #f37626 10%,
+    rgba(255, 255, 255, 0) 42%
+  );
+  position: relative;
+  animation: load3 1s infinite linear, fadeIn 1s;
+}
+
+.jp-SpinnerContent:before {
+  width: 50%;
+  height: 50%;
+  background: #f37626;
+  border-radius: 100% 0 0 0;
+  position: absolute;
+  top: 0;
+  left: 0;
+  content: '';
+}
+
+.jp-SpinnerContent:after {
+  background: var(--jp-layout-color0);
+  width: 75%;
+  height: 75%;
+  border-radius: 50%;
+  content: '';
+  margin: auto;
+  position: absolute;
+  top: 0;
+  left: 0;
+  bottom: 0;
+  right: 0;
+}
+
+@keyframes fadeIn {
+  0% {
+    opacity: 0;
+  }
+  100% {
+    opacity: 1;
+  }
+}
+
+@keyframes load3 {
+  0% {
+    transform: rotate(0deg);
+  }
+  100% {
+    transform: rotate(360deg);
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+button.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: none;
+  box-sizing: border-box;
+  text-align: center;
+  line-height: 32px;
+  height: 32px;
+  padding: 0px 12px;
+  letter-spacing: 0.8px;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input.jp-mod-styled {
+  background: var(--jp-input-background);
+  height: 28px;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+  padding-left: 7px;
+  padding-right: 7px;
+  font-size: var(--jp-ui-font-size2);
+  color: var(--jp-ui-font-color0);
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input.jp-mod-styled:focus {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-select-wrapper {
+  display: flex;
+  position: relative;
+  flex-direction: column;
+  padding: 1px;
+  background-color: var(--jp-layout-color1);
+  height: 28px;
+  box-sizing: border-box;
+  margin-bottom: 12px;
+}
+
+.jp-select-wrapper.jp-mod-focused select.jp-mod-styled {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-input-active-background);
+}
+
+select.jp-mod-styled:hover {
+  background-color: var(--jp-layout-color1);
+  cursor: pointer;
+  color: var(--jp-ui-font-color0);
+  background-color: var(--jp-input-hover-background);
+  box-shadow: inset 0 0px 1px rgba(0, 0, 0, 0.5);
+}
+
+select.jp-mod-styled {
+  flex: 1 1 auto;
+  height: 32px;
+  width: 100%;
+  font-size: var(--jp-ui-font-size2);
+  background: var(--jp-input-background);
+  color: var(--jp-ui-font-color0);
+  padding: 0 25px 0 8px;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0px;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toolbar-height: calc(
+    28px + var(--jp-border-width)
+  ); /* leave 28px for content */
+}
+
+.jp-Toolbar {
+  color: var(--jp-ui-font-color1);
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: 2px;
+  z-index: 1;
+}
+
+/* Toolbar items */
+
+.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer {
+  flex-grow: 1;
+  flex-shrink: 1;
+}
+
+.jp-Toolbar-item.jp-Toolbar-kernelStatus {
+  display: inline-block;
+  width: 32px;
+  background-repeat: no-repeat;
+  background-position: center;
+  background-size: 16px;
+}
+
+.jp-Toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  display: flex;
+  padding-left: 1px;
+  padding-right: 1px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: var(--jp-private-toolbar-height);
+  height: 100%;
+}
+
+/* Toolbar buttons */
+
+/* This is the div we use to wrap the react component into a Widget */
+div.jp-ToolbarButton {
+  color: transparent;
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0px;
+  margin: 0px;
+}
+
+button.jp-ToolbarButtonComponent {
+  background: var(--jp-layout-color1);
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0px 6px;
+  margin: 0px;
+  height: 24px;
+  border-radius: var(--jp-border-radius);
+  display: flex;
+  align-items: center;
+  text-align: center;
+  font-size: 14px;
+  min-width: unset;
+  min-height: unset;
+}
+
+button.jp-ToolbarButtonComponent:disabled {
+  opacity: 0.4;
+}
+
+button.jp-ToolbarButtonComponent span {
+  padding: 0px;
+  flex: 0 0 auto;
+}
+
+button.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {
+  font-size: var(--jp-ui-font-size1);
+  line-height: 100%;
+  padding-left: 2px;
+  color: var(--jp-ui-font-color1);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensurePackage() in @jupyterlab/buildutils */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+
+/* <DEPRECATED> */ body.p-mod-override-cursor *, /* </DEPRECATED> */
+body.lm-mod-override-cursor * {
+  cursor: inherit !important;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-JSONEditor {
+  display: flex;
+  flex-direction: column;
+  width: 100%;
+}
+
+.jp-JSONEditor-host {
+  flex: 1 1 auto;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0px;
+  background: var(--jp-layout-color0);
+  min-height: 50px;
+  padding: 1px;
+}
+
+.jp-JSONEditor.jp-mod-error .jp-JSONEditor-host {
+  border-color: red;
+  outline-color: red;
+}
+
+.jp-JSONEditor-header {
+  display: flex;
+  flex: 1 0 auto;
+  padding: 0 0 0 12px;
+}
+
+.jp-JSONEditor-header label {
+  flex: 0 0 auto;
+}
+
+.jp-JSONEditor-commitButton {
+  height: 16px;
+  width: 16px;
+  background-size: 18px;
+  background-repeat: no-repeat;
+  background-position: center;
+}
+
+.jp-JSONEditor-host.jp-mod-focused {
+  background-color: var(--jp-input-active-background);
+  border: 1px solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+.jp-Editor.jp-mod-dropTarget {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensurePackage() in @jupyterlab/buildutils */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* BASICS */
+
+.CodeMirror {
+  /* Set height, width, borders, and global font properties here */
+  font-family: monospace;
+  height: 300px;
+  color: black;
+  direction: ltr;
+}
+
+/* PADDING */
+
+.CodeMirror-lines {
+  padding: 4px 0; /* Vertical padding around content */
+}
+.CodeMirror pre.CodeMirror-line,
+.CodeMirror pre.CodeMirror-line-like {
+  padding: 0 4px; /* Horizontal padding of content */
+}
+
+.CodeMirror-scrollbar-filler, .CodeMirror-gutter-filler {
+  background-color: white; /* The little square between H and V scrollbars */
+}
+
+/* GUTTER */
+
+.CodeMirror-gutters {
+  border-right: 1px solid #ddd;
+  background-color: #f7f7f7;
+  white-space: nowrap;
+}
+.CodeMirror-linenumbers {}
+.CodeMirror-linenumber {
+  padding: 0 3px 0 5px;
+  min-width: 20px;
+  text-align: right;
+  color: #999;
+  white-space: nowrap;
+}
+
+.CodeMirror-guttermarker { color: black; }
+.CodeMirror-guttermarker-subtle { color: #999; }
+
+/* CURSOR */
+
+.CodeMirror-cursor {
+  border-left: 1px solid black;
+  border-right: none;
+  width: 0;
+}
+/* Shown when moving in bi-directional text */
+.CodeMirror div.CodeMirror-secondarycursor {
+  border-left: 1px solid silver;
+}
+.cm-fat-cursor .CodeMirror-cursor {
+  width: auto;
+  border: 0 !important;
+  background: #7e7;
+}
+.cm-fat-cursor div.CodeMirror-cursors {
+  z-index: 1;
+}
+.cm-fat-cursor-mark {
+  background-color: rgba(20, 255, 20, 0.5);
+  -webkit-animation: blink 1.06s steps(1) infinite;
+  -moz-animation: blink 1.06s steps(1) infinite;
+  animation: blink 1.06s steps(1) infinite;
+}
+.cm-animate-fat-cursor {
+  width: auto;
+  border: 0;
+  -webkit-animation: blink 1.06s steps(1) infinite;
+  -moz-animation: blink 1.06s steps(1) infinite;
+  animation: blink 1.06s steps(1) infinite;
+  background-color: #7e7;
+}
+@-moz-keyframes blink {
+  0% {}
+  50% { background-color: transparent; }
+  100% {}
+}
+@-webkit-keyframes blink {
+  0% {}
+  50% { background-color: transparent; }
+  100% {}
+}
+@keyframes blink {
+  0% {}
+  50% { background-color: transparent; }
+  100% {}
+}
+
+/* Can style cursor different in overwrite (non-insert) mode */
+.CodeMirror-overwrite .CodeMirror-cursor {}
+
+.cm-tab { display: inline-block; text-decoration: inherit; }
+
+.CodeMirror-rulers {
+  position: absolute;
+  left: 0; right: 0; top: -50px; bottom: 0;
+  overflow: hidden;
+}
+.CodeMirror-ruler {
+  border-left: 1px solid #ccc;
+  top: 0; bottom: 0;
+  position: absolute;
+}
+
+/* DEFAULT THEME */
+
+.cm-s-default .cm-header {color: blue;}
+.cm-s-default .cm-quote {color: #090;}
+.cm-negative {color: #d44;}
+.cm-positive {color: #292;}
+.cm-header, .cm-strong {font-weight: bold;}
+.cm-em {font-style: italic;}
+.cm-link {text-decoration: underline;}
+.cm-strikethrough {text-decoration: line-through;}
+
+.cm-s-default .cm-keyword {color: #708;}
+.cm-s-default .cm-atom {color: #219;}
+.cm-s-default .cm-number {color: #164;}
+.cm-s-default .cm-def {color: #00f;}
+.cm-s-default .cm-variable,
+.cm-s-default .cm-punctuation,
+.cm-s-default .cm-property,
+.cm-s-default .cm-operator {}
+.cm-s-default .cm-variable-2 {color: #05a;}
+.cm-s-default .cm-variable-3, .cm-s-default .cm-type {color: #085;}
+.cm-s-default .cm-comment {color: #a50;}
+.cm-s-default .cm-string {color: #a11;}
+.cm-s-default .cm-string-2 {color: #f50;}
+.cm-s-default .cm-meta {color: #555;}
+.cm-s-default .cm-qualifier {color: #555;}
+.cm-s-default .cm-builtin {color: #30a;}
+.cm-s-default .cm-bracket {color: #997;}
+.cm-s-default .cm-tag {color: #170;}
+.cm-s-default .cm-attribute {color: #00c;}
+.cm-s-default .cm-hr {color: #999;}
+.cm-s-default .cm-link {color: #00c;}
+
+.cm-s-default .cm-error {color: #f00;}
+.cm-invalidchar {color: #f00;}
+
+.CodeMirror-composing { border-bottom: 2px solid; }
+
+/* Default styles for common addons */
+
+div.CodeMirror span.CodeMirror-matchingbracket {color: #0b0;}
+div.CodeMirror span.CodeMirror-nonmatchingbracket {color: #a22;}
+.CodeMirror-matchingtag { background: rgba(255, 150, 0, .3); }
+.CodeMirror-activeline-background {background: #e8f2ff;}
+
+/* STOP */
+
+/* The rest of this file contains styles related to the mechanics of
+   the editor. You probably shouldn't touch them. */
+
+.CodeMirror {
+  position: relative;
+  overflow: hidden;
+  background: white;
+}
+
+.CodeMirror-scroll {
+  overflow: scroll !important; /* Things will break if this is overridden */
+  /* 30px is the magic margin used to hide the element's real scrollbars */
+  /* See overflow: hidden in .CodeMirror */
+  margin-bottom: -30px; margin-right: -30px;
+  padding-bottom: 30px;
+  height: 100%;
+  outline: none; /* Prevent dragging from highlighting the element */
+  position: relative;
+}
+.CodeMirror-sizer {
+  position: relative;
+  border-right: 30px solid transparent;
+}
+
+/* The fake, visible scrollbars. Used to force redraw during scrolling
+   before actual scrolling happens, thus preventing shaking and
+   flickering artifacts. */
+.CodeMirror-vscrollbar, .CodeMirror-hscrollbar, .CodeMirror-scrollbar-filler, .CodeMirror-gutter-filler {
+  position: absolute;
+  z-index: 6;
+  display: none;
+}
+.CodeMirror-vscrollbar {
+  right: 0; top: 0;
+  overflow-x: hidden;
+  overflow-y: scroll;
+}
+.CodeMirror-hscrollbar {
+  bottom: 0; left: 0;
+  overflow-y: hidden;
+  overflow-x: scroll;
+}
+.CodeMirror-scrollbar-filler {
+  right: 0; bottom: 0;
+}
+.CodeMirror-gutter-filler {
+  left: 0; bottom: 0;
+}
+
+.CodeMirror-gutters {
+  position: absolute; left: 0; top: 0;
+  min-height: 100%;
+  z-index: 3;
+}
+.CodeMirror-gutter {
+  white-space: normal;
+  height: 100%;
+  display: inline-block;
+  vertical-align: top;
+  margin-bottom: -30px;
+}
+.CodeMirror-gutter-wrapper {
+  position: absolute;
+  z-index: 4;
+  background: none !important;
+  border: none !important;
+}
+.CodeMirror-gutter-background {
+  position: absolute;
+  top: 0; bottom: 0;
+  z-index: 4;
+}
+.CodeMirror-gutter-elt {
+  position: absolute;
+  cursor: default;
+  z-index: 4;
+}
+.CodeMirror-gutter-wrapper ::selection { background-color: transparent }
+.CodeMirror-gutter-wrapper ::-moz-selection { background-color: transparent }
+
+.CodeMirror-lines {
+  cursor: text;
+  min-height: 1px; /* prevents collapsing before first draw */
+}
+.CodeMirror pre.CodeMirror-line,
+.CodeMirror pre.CodeMirror-line-like {
+  /* Reset some styles that the rest of the page might have set */
+  -moz-border-radius: 0; -webkit-border-radius: 0; border-radius: 0;
+  border-width: 0;
+  background: transparent;
+  font-family: inherit;
+  font-size: inherit;
+  margin: 0;
+  white-space: pre;
+  word-wrap: normal;
+  line-height: inherit;
+  color: inherit;
+  z-index: 2;
+  position: relative;
+  overflow: visible;
+  -webkit-tap-highlight-color: transparent;
+  -webkit-font-variant-ligatures: contextual;
+  font-variant-ligatures: contextual;
+}
+.CodeMirror-wrap pre.CodeMirror-line,
+.CodeMirror-wrap pre.CodeMirror-line-like {
+  word-wrap: break-word;
+  white-space: pre-wrap;
+  word-break: normal;
+}
+
+.CodeMirror-linebackground {
+  position: absolute;
+  left: 0; right: 0; top: 0; bottom: 0;
+  z-index: 0;
+}
+
+.CodeMirror-linewidget {
+  position: relative;
+  z-index: 2;
+  padding: 0.1px; /* Force widget margins to stay inside of the container */
+}
+
+.CodeMirror-widget {}
+
+.CodeMirror-rtl pre { direction: rtl; }
+
+.CodeMirror-code {
+  outline: none;
+}
+
+/* Force content-box sizing for the elements where we expect it */
+.CodeMirror-scroll,
+.CodeMirror-sizer,
+.CodeMirror-gutter,
+.CodeMirror-gutters,
+.CodeMirror-linenumber {
+  -moz-box-sizing: content-box;
+  box-sizing: content-box;
+}
+
+.CodeMirror-measure {
+  position: absolute;
+  width: 100%;
+  height: 0;
+  overflow: hidden;
+  visibility: hidden;
+}
+
+.CodeMirror-cursor {
+  position: absolute;
+  pointer-events: none;
+}
+.CodeMirror-measure pre { position: static; }
+
+div.CodeMirror-cursors {
+  visibility: hidden;
+  position: relative;
+  z-index: 3;
+}
+div.CodeMirror-dragcursors {
+  visibility: visible;
+}
+
+.CodeMirror-focused div.CodeMirror-cursors {
+  visibility: visible;
+}
+
+.CodeMirror-selected { background: #d9d9d9; }
+.CodeMirror-focused .CodeMirror-selected { background: #d7d4f0; }
+.CodeMirror-crosshair { cursor: crosshair; }
+.CodeMirror-line::selection, .CodeMirror-line > span::selection, .CodeMirror-line > span > span::selection { background: #d7d4f0; }
+.CodeMirror-line::-moz-selection, .CodeMirror-line > span::-moz-selection, .CodeMirror-line > span > span::-moz-selection { background: #d7d4f0; }
+
+.cm-searching {
+  background-color: #ffa;
+  background-color: rgba(255, 255, 0, .4);
+}
+
+/* Used to force a border model for a node */
+.cm-force-border { padding-right: .1px; }
+
+@media print {
+  /* Hide the cursor when printing */
+  .CodeMirror div.CodeMirror-cursors {
+    visibility: hidden;
+  }
+}
+
+/* See issue #2901 */
+.cm-tab-wrap-hack:after { content: ''; }
+
+/* Help users use markselection to safely style text background */
+span.CodeMirror-selectedtext { background: none; }
+
+.CodeMirror-dialog {
+  position: absolute;
+  left: 0; right: 0;
+  background: inherit;
+  z-index: 15;
+  padding: .1em .8em;
+  overflow: hidden;
+  color: inherit;
+}
+
+.CodeMirror-dialog-top {
+  border-bottom: 1px solid #eee;
+  top: 0;
+}
+
+.CodeMirror-dialog-bottom {
+  border-top: 1px solid #eee;
+  bottom: 0;
+}
+
+.CodeMirror-dialog input {
+  border: none;
+  outline: none;
+  background: transparent;
+  width: 20em;
+  color: inherit;
+  font-family: monospace;
+}
+
+.CodeMirror-dialog button {
+  font-size: 70%;
+}
+
+.CodeMirror-foldmarker {
+  color: blue;
+  text-shadow: #b9f 1px 1px 2px, #b9f -1px -1px 2px, #b9f 1px -1px 2px, #b9f -1px 1px 2px;
+  font-family: arial;
+  line-height: .3;
+  cursor: pointer;
+}
+.CodeMirror-foldgutter {
+  width: .7em;
+}
+.CodeMirror-foldgutter-open,
+.CodeMirror-foldgutter-folded {
+  cursor: pointer;
+}
+.CodeMirror-foldgutter-open:after {
+  content: "\25BE";
+}
+.CodeMirror-foldgutter-folded:after {
+  content: "\25B8";
+}
+
+/*
+  Name:       material
+  Author:     Mattia Astorino (http://github.com/equinusocio)
+  Website:    https://material-theme.site/
+*/
+
+.cm-s-material.CodeMirror {
+  background-color: #263238;
+  color: #EEFFFF;
+}
+
+.cm-s-material .CodeMirror-gutters {
+  background: #263238;
+  color: #546E7A;
+  border: none;
+}
+
+.cm-s-material .CodeMirror-guttermarker,
+.cm-s-material .CodeMirror-guttermarker-subtle,
+.cm-s-material .CodeMirror-linenumber {
+  color: #546E7A;
+}
+
+.cm-s-material .CodeMirror-cursor {
+  border-left: 1px solid #FFCC00;
+}
+
+.cm-s-material div.CodeMirror-selected {
+  background: rgba(128, 203, 196, 0.2);
+}
+
+.cm-s-material.CodeMirror-focused div.CodeMirror-selected {
+  background: rgba(128, 203, 196, 0.2);
+}
+
+.cm-s-material .CodeMirror-line::selection,
+.cm-s-material .CodeMirror-line>span::selection,
+.cm-s-material .CodeMirror-line>span>span::selection {
+  background: rgba(128, 203, 196, 0.2);
+}
+
+.cm-s-material .CodeMirror-line::-moz-selection,
+.cm-s-material .CodeMirror-line>span::-moz-selection,
+.cm-s-material .CodeMirror-line>span>span::-moz-selection {
+  background: rgba(128, 203, 196, 0.2);
+}
+
+.cm-s-material .CodeMirror-activeline-background {
+  background: rgba(0, 0, 0, 0.5);
+}
+
+.cm-s-material .cm-keyword {
+  color: #C792EA;
+}
+
+.cm-s-material .cm-operator {
+  color: #89DDFF;
+}
+
+.cm-s-material .cm-variable-2 {
+  color: #EEFFFF;
+}
+
+.cm-s-material .cm-variable-3,
+.cm-s-material .cm-type {
+  color: #f07178;
+}
+
+.cm-s-material .cm-builtin {
+  color: #FFCB6B;
+}
+
+.cm-s-material .cm-atom {
+  color: #F78C6C;
+}
+
+.cm-s-material .cm-number {
+  color: #FF5370;
+}
+
+.cm-s-material .cm-def {
+  color: #82AAFF;
+}
+
+.cm-s-material .cm-string {
+  color: #C3E88D;
+}
+
+.cm-s-material .cm-string-2 {
+  color: #f07178;
+}
+
+.cm-s-material .cm-comment {
+  color: #546E7A;
+}
+
+.cm-s-material .cm-variable {
+  color: #f07178;
+}
+
+.cm-s-material .cm-tag {
+  color: #FF5370;
+}
+
+.cm-s-material .cm-meta {
+  color: #FFCB6B;
+}
+
+.cm-s-material .cm-attribute {
+  color: #C792EA;
+}
+
+.cm-s-material .cm-property {
+  color: #C792EA;
+}
+
+.cm-s-material .cm-qualifier {
+  color: #DECB6B;
+}
+
+.cm-s-material .cm-variable-3,
+.cm-s-material .cm-type {
+  color: #DECB6B;
+}
+
+
+.cm-s-material .cm-error {
+  color: rgba(255, 255, 255, 1.0);
+  background-color: #FF5370;
+}
+
+.cm-s-material .CodeMirror-matchingbracket {
+  text-decoration: underline;
+  color: white !important;
+}
+/**
+ * "
+ *  Using Zenburn color palette from the Emacs Zenburn Theme
+ *  https://github.com/bbatsov/zenburn-emacs/blob/master/zenburn-theme.el
+ *
+ *  Also using parts of https://github.com/xavi/coderay-lighttable-theme
+ * "
+ * From: https://github.com/wisenomad/zenburn-lighttable-theme/blob/master/zenburn.css
+ */
+
+.cm-s-zenburn .CodeMirror-gutters { background: #3f3f3f !important; }
+.cm-s-zenburn .CodeMirror-foldgutter-open, .CodeMirror-foldgutter-folded { color: #999; }
+.cm-s-zenburn .CodeMirror-cursor { border-left: 1px solid white; }
+.cm-s-zenburn { background-color: #3f3f3f; color: #dcdccc; }
+.cm-s-zenburn span.cm-builtin { color: #dcdccc; font-weight: bold; }
+.cm-s-zenburn span.cm-comment { color: #7f9f7f; }
+.cm-s-zenburn span.cm-keyword { color: #f0dfaf; font-weight: bold; }
+.cm-s-zenburn span.cm-atom { color: #bfebbf; }
+.cm-s-zenburn span.cm-def { color: #dcdccc; }
+.cm-s-zenburn span.cm-variable { color: #dfaf8f; }
+.cm-s-zenburn span.cm-variable-2 { color: #dcdccc; }
+.cm-s-zenburn span.cm-string { color: #cc9393; }
+.cm-s-zenburn span.cm-string-2 { color: #cc9393; }
+.cm-s-zenburn span.cm-number { color: #dcdccc; }
+.cm-s-zenburn span.cm-tag { color: #93e0e3; }
+.cm-s-zenburn span.cm-property { color: #dfaf8f; }
+.cm-s-zenburn span.cm-attribute { color: #dfaf8f; }
+.cm-s-zenburn span.cm-qualifier { color: #7cb8bb; }
+.cm-s-zenburn span.cm-meta { color: #f0dfaf; }
+.cm-s-zenburn span.cm-header { color: #f0efd0; }
+.cm-s-zenburn span.cm-operator { color: #f0efd0; }
+.cm-s-zenburn span.CodeMirror-matchingbracket { box-sizing: border-box; background: transparent; border-bottom: 1px solid; }
+.cm-s-zenburn span.CodeMirror-nonmatchingbracket { border-bottom: 1px solid; background: none; }
+.cm-s-zenburn .CodeMirror-activeline { background: #000000; }
+.cm-s-zenburn .CodeMirror-activeline-background { background: #000000; }
+.cm-s-zenburn div.CodeMirror-selected { background: #545454; }
+.cm-s-zenburn .CodeMirror-focused div.CodeMirror-selected { background: #4f4f4f; }
+
+.cm-s-abcdef.CodeMirror { background: #0f0f0f; color: #defdef; }
+.cm-s-abcdef div.CodeMirror-selected { background: #515151; }
+.cm-s-abcdef .CodeMirror-line::selection, .cm-s-abcdef .CodeMirror-line > span::selection, .cm-s-abcdef .CodeMirror-line > span > span::selection { background: rgba(56, 56, 56, 0.99); }
+.cm-s-abcdef .CodeMirror-line::-moz-selection, .cm-s-abcdef .CodeMirror-line > span::-moz-selection, .cm-s-abcdef .CodeMirror-line > span > span::-moz-selection { background: rgba(56, 56, 56, 0.99); }
+.cm-s-abcdef .CodeMirror-gutters { background: #555; border-right: 2px solid #314151; }
+.cm-s-abcdef .CodeMirror-guttermarker { color: #222; }
+.cm-s-abcdef .CodeMirror-guttermarker-subtle { color: azure; }
+.cm-s-abcdef .CodeMirror-linenumber { color: #FFFFFF; }
+.cm-s-abcdef .CodeMirror-cursor { border-left: 1px solid #00FF00; }
+
+.cm-s-abcdef span.cm-keyword { color: darkgoldenrod; font-weight: bold; }
+.cm-s-abcdef span.cm-atom { color: #77F; }
+.cm-s-abcdef span.cm-number { color: violet; }
+.cm-s-abcdef span.cm-def { color: #fffabc; }
+.cm-s-abcdef span.cm-variable { color: #abcdef; }
+.cm-s-abcdef span.cm-variable-2 { color: #cacbcc; }
+.cm-s-abcdef span.cm-variable-3, .cm-s-abcdef span.cm-type { color: #def; }
+.cm-s-abcdef span.cm-property { color: #fedcba; }
+.cm-s-abcdef span.cm-operator { color: #ff0; }
+.cm-s-abcdef span.cm-comment { color: #7a7b7c; font-style: italic;}
+.cm-s-abcdef span.cm-string { color: #2b4; }
+.cm-s-abcdef span.cm-meta { color: #C9F; }
+.cm-s-abcdef span.cm-qualifier { color: #FFF700; }
+.cm-s-abcdef span.cm-builtin { color: #30aabc; }
+.cm-s-abcdef span.cm-bracket { color: #8a8a8a; }
+.cm-s-abcdef span.cm-tag { color: #FFDD44; }
+.cm-s-abcdef span.cm-attribute { color: #DDFF00; }
+.cm-s-abcdef span.cm-error { color: #FF0000; }
+.cm-s-abcdef span.cm-header { color: aquamarine; font-weight: bold; }
+.cm-s-abcdef span.cm-link { color: blueviolet; }
+
+.cm-s-abcdef .CodeMirror-activeline-background { background: #314151; }
+
+/*
+
+    Name:       Base16 Default Light
+    Author:     Chris Kempson (http://chriskempson.com)
+
+    CodeMirror template by Jan T. Sott (https://github.com/idleberg/base16-codemirror)
+    Original Base16 color scheme by Chris Kempson (https://github.com/chriskempson/base16)
+
+*/
+
+.cm-s-base16-light.CodeMirror { background: #f5f5f5; color: #202020; }
+.cm-s-base16-light div.CodeMirror-selected { background: #e0e0e0; }
+.cm-s-base16-light .CodeMirror-line::selection, .cm-s-base16-light .CodeMirror-line > span::selection, .cm-s-base16-light .CodeMirror-line > span > span::selection { background: #e0e0e0; }
+.cm-s-base16-light .CodeMirror-line::-moz-selection, .cm-s-base16-light .CodeMirror-line > span::-moz-selection, .cm-s-base16-light .CodeMirror-line > span > span::-moz-selection { background: #e0e0e0; }
+.cm-s-base16-light .CodeMirror-gutters { background: #f5f5f5; border-right: 0px; }
+.cm-s-base16-light .CodeMirror-guttermarker { color: #ac4142; }
+.cm-s-base16-light .CodeMirror-guttermarker-subtle { color: #b0b0b0; }
+.cm-s-base16-light .CodeMirror-linenumber { color: #b0b0b0; }
+.cm-s-base16-light .CodeMirror-cursor { border-left: 1px solid #505050; }
+
+.cm-s-base16-light span.cm-comment { color: #8f5536; }
+.cm-s-base16-light span.cm-atom { color: #aa759f; }
+.cm-s-base16-light span.cm-number { color: #aa759f; }
+
+.cm-s-base16-light span.cm-property, .cm-s-base16-light span.cm-attribute { color: #90a959; }
+.cm-s-base16-light span.cm-keyword { color: #ac4142; }
+.cm-s-base16-light span.cm-string { color: #f4bf75; }
+
+.cm-s-base16-light span.cm-variable { color: #90a959; }
+.cm-s-base16-light span.cm-variable-2 { color: #6a9fb5; }
+.cm-s-base16-light span.cm-def { color: #d28445; }
+.cm-s-base16-light span.cm-bracket { color: #202020; }
+.cm-s-base16-light span.cm-tag { color: #ac4142; }
+.cm-s-base16-light span.cm-link { color: #aa759f; }
+.cm-s-base16-light span.cm-error { background: #ac4142; color: #505050; }
+
+.cm-s-base16-light .CodeMirror-activeline-background { background: #DDDCDC; }
+.cm-s-base16-light .CodeMirror-matchingbracket { color: #f5f5f5 !important; background-color: #6A9FB5 !important}
+
+/*
+
+    Name:       Base16 Default Dark
+    Author:     Chris Kempson (http://chriskempson.com)
+
+    CodeMirror template by Jan T. Sott (https://github.com/idleberg/base16-codemirror)
+    Original Base16 color scheme by Chris Kempson (https://github.com/chriskempson/base16)
+
+*/
+
+.cm-s-base16-dark.CodeMirror { background: #151515; color: #e0e0e0; }
+.cm-s-base16-dark div.CodeMirror-selected { background: #303030; }
+.cm-s-base16-dark .CodeMirror-line::selection, .cm-s-base16-dark .CodeMirror-line > span::selection, .cm-s-base16-dark .CodeMirror-line > span > span::selection { background: rgba(48, 48, 48, .99); }
+.cm-s-base16-dark .CodeMirror-line::-moz-selection, .cm-s-base16-dark .CodeMirror-line > span::-moz-selection, .cm-s-base16-dark .CodeMirror-line > span > span::-moz-selection { background: rgba(48, 48, 48, .99); }
+.cm-s-base16-dark .CodeMirror-gutters { background: #151515; border-right: 0px; }
+.cm-s-base16-dark .CodeMirror-guttermarker { color: #ac4142; }
+.cm-s-base16-dark .CodeMirror-guttermarker-subtle { color: #505050; }
+.cm-s-base16-dark .CodeMirror-linenumber { color: #505050; }
+.cm-s-base16-dark .CodeMirror-cursor { border-left: 1px solid #b0b0b0; }
+
+.cm-s-base16-dark span.cm-comment { color: #8f5536; }
+.cm-s-base16-dark span.cm-atom { color: #aa759f; }
+.cm-s-base16-dark span.cm-number { color: #aa759f; }
+
+.cm-s-base16-dark span.cm-property, .cm-s-base16-dark span.cm-attribute { color: #90a959; }
+.cm-s-base16-dark span.cm-keyword { color: #ac4142; }
+.cm-s-base16-dark span.cm-string { color: #f4bf75; }
+
+.cm-s-base16-dark span.cm-variable { color: #90a959; }
+.cm-s-base16-dark span.cm-variable-2 { color: #6a9fb5; }
+.cm-s-base16-dark span.cm-def { color: #d28445; }
+.cm-s-base16-dark span.cm-bracket { color: #e0e0e0; }
+.cm-s-base16-dark span.cm-tag { color: #ac4142; }
+.cm-s-base16-dark span.cm-link { color: #aa759f; }
+.cm-s-base16-dark span.cm-error { background: #ac4142; color: #b0b0b0; }
+
+.cm-s-base16-dark .CodeMirror-activeline-background { background: #202020; }
+.cm-s-base16-dark .CodeMirror-matchingbracket { text-decoration: underline; color: white !important; }
+
+/*
+
+    Name:       dracula
+    Author:     Michael Kaminsky (http://github.com/mkaminsky11)
+
+    Original dracula color scheme by Zeno Rocha (https://github.com/zenorocha/dracula-theme)
+
+*/
+
+
+.cm-s-dracula.CodeMirror, .cm-s-dracula .CodeMirror-gutters {
+  background-color: #282a36 !important;
+  color: #f8f8f2 !important;
+  border: none;
+}
+.cm-s-dracula .CodeMirror-gutters { color: #282a36; }
+.cm-s-dracula .CodeMirror-cursor { border-left: solid thin #f8f8f0; }
+.cm-s-dracula .CodeMirror-linenumber { color: #6D8A88; }
+.cm-s-dracula .CodeMirror-selected { background: rgba(255, 255, 255, 0.10); }
+.cm-s-dracula .CodeMirror-line::selection, .cm-s-dracula .CodeMirror-line > span::selection, .cm-s-dracula .CodeMirror-line > span > span::selection { background: rgba(255, 255, 255, 0.10); }
+.cm-s-dracula .CodeMirror-line::-moz-selection, .cm-s-dracula .CodeMirror-line > span::-moz-selection, .cm-s-dracula .CodeMirror-line > span > span::-moz-selection { background: rgba(255, 255, 255, 0.10); }
+.cm-s-dracula span.cm-comment { color: #6272a4; }
+.cm-s-dracula span.cm-string, .cm-s-dracula span.cm-string-2 { color: #f1fa8c; }
+.cm-s-dracula span.cm-number { color: #bd93f9; }
+.cm-s-dracula span.cm-variable { color: #50fa7b; }
+.cm-s-dracula span.cm-variable-2 { color: white; }
+.cm-s-dracula span.cm-def { color: #50fa7b; }
+.cm-s-dracula span.cm-operator { color: #ff79c6; }
+.cm-s-dracula span.cm-keyword { color: #ff79c6; }
+.cm-s-dracula span.cm-atom { color: #bd93f9; }
+.cm-s-dracula span.cm-meta { color: #f8f8f2; }
+.cm-s-dracula span.cm-tag { color: #ff79c6; }
+.cm-s-dracula span.cm-attribute { color: #50fa7b; }
+.cm-s-dracula span.cm-qualifier { color: #50fa7b; }
+.cm-s-dracula span.cm-property { color: #66d9ef; }
+.cm-s-dracula span.cm-builtin { color: #50fa7b; }
+.cm-s-dracula span.cm-variable-3, .cm-s-dracula span.cm-type { color: #ffb86c; }
+
+.cm-s-dracula .CodeMirror-activeline-background { background: rgba(255,255,255,0.1); }
+.cm-s-dracula .CodeMirror-matchingbracket { text-decoration: underline; color: white !important; }
+
+/*
+
+    Name:       Hopscotch
+    Author:     Jan T. Sott
+
+    CodeMirror template by Jan T. Sott (https://github.com/idleberg/base16-codemirror)
+    Original Base16 color scheme by Chris Kempson (https://github.com/chriskempson/base16)
+
+*/
+
+.cm-s-hopscotch.CodeMirror {background: #322931; color: #d5d3d5;}
+.cm-s-hopscotch div.CodeMirror-selected {background: #433b42 !important;}
+.cm-s-hopscotch .CodeMirror-gutters {background: #322931; border-right: 0px;}
+.cm-s-hopscotch .CodeMirror-linenumber {color: #797379;}
+.cm-s-hopscotch .CodeMirror-cursor {border-left: 1px solid #989498 !important;}
+
+.cm-s-hopscotch span.cm-comment {color: #b33508;}
+.cm-s-hopscotch span.cm-atom {color: #c85e7c;}
+.cm-s-hopscotch span.cm-number {color: #c85e7c;}
+
+.cm-s-hopscotch span.cm-property, .cm-s-hopscotch span.cm-attribute {color: #8fc13e;}
+.cm-s-hopscotch span.cm-keyword {color: #dd464c;}
+.cm-s-hopscotch span.cm-string {color: #fdcc59;}
+
+.cm-s-hopscotch span.cm-variable {color: #8fc13e;}
+.cm-s-hopscotch span.cm-variable-2 {color: #1290bf;}
+.cm-s-hopscotch span.cm-def {color: #fd8b19;}
+.cm-s-hopscotch span.cm-error {background: #dd464c; color: #989498;}
+.cm-s-hopscotch span.cm-bracket {color: #d5d3d5;}
+.cm-s-hopscotch span.cm-tag {color: #dd464c;}
+.cm-s-hopscotch span.cm-link {color: #c85e7c;}
+
+.cm-s-hopscotch .CodeMirror-matchingbracket { text-decoration: underline; color: white !important;}
+.cm-s-hopscotch .CodeMirror-activeline-background { background: #302020; }
+
+/****************************************************************/
+/*   Based on mbonaci's Brackets mbo theme                      */
+/*   https://github.com/mbonaci/global/blob/master/Mbo.tmTheme  */
+/*   Create your own: http://tmtheme-editor.herokuapp.com       */
+/****************************************************************/
+
+.cm-s-mbo.CodeMirror { background: #2c2c2c; color: #ffffec; }
+.cm-s-mbo div.CodeMirror-selected { background: #716C62; }
+.cm-s-mbo .CodeMirror-line::selection, .cm-s-mbo .CodeMirror-line > span::selection, .cm-s-mbo .CodeMirror-line > span > span::selection { background: rgba(113, 108, 98, .99); }
+.cm-s-mbo .CodeMirror-line::-moz-selection, .cm-s-mbo .CodeMirror-line > span::-moz-selection, .cm-s-mbo .CodeMirror-line > span > span::-moz-selection { background: rgba(113, 108, 98, .99); }
+.cm-s-mbo .CodeMirror-gutters { background: #4e4e4e; border-right: 0px; }
+.cm-s-mbo .CodeMirror-guttermarker { color: white; }
+.cm-s-mbo .CodeMirror-guttermarker-subtle { color: grey; }
+.cm-s-mbo .CodeMirror-linenumber { color: #dadada; }
+.cm-s-mbo .CodeMirror-cursor { border-left: 1px solid #ffffec; }
+
+.cm-s-mbo span.cm-comment { color: #95958a; }
+.cm-s-mbo span.cm-atom { color: #00a8c6; }
+.cm-s-mbo span.cm-number { color: #00a8c6; }
+
+.cm-s-mbo span.cm-property, .cm-s-mbo span.cm-attribute { color: #9ddfe9; }
+.cm-s-mbo span.cm-keyword { color: #ffb928; }
+.cm-s-mbo span.cm-string { color: #ffcf6c; }
+.cm-s-mbo span.cm-string.cm-property { color: #ffffec; }
+
+.cm-s-mbo span.cm-variable { color: #ffffec; }
+.cm-s-mbo span.cm-variable-2 { color: #00a8c6; }
+.cm-s-mbo span.cm-def { color: #ffffec; }
+.cm-s-mbo span.cm-bracket { color: #fffffc; font-weight: bold; }
+.cm-s-mbo span.cm-tag { color: #9ddfe9; }
+.cm-s-mbo span.cm-link { color: #f54b07; }
+.cm-s-mbo span.cm-error { border-bottom: #636363; color: #ffffec; }
+.cm-s-mbo span.cm-qualifier { color: #ffffec; }
+
+.cm-s-mbo .CodeMirror-activeline-background { background: #494b41; }
+.cm-s-mbo .CodeMirror-matchingbracket { color: #ffb928 !important; }
+.cm-s-mbo .CodeMirror-matchingtag { background: rgba(255, 255, 255, .37); }
+
+/*
+  MDN-LIKE Theme - Mozilla
+  Ported to CodeMirror by Peter Kroon <plakroon@gmail.com>
+  Report bugs/issues here: https://github.com/codemirror/CodeMirror/issues
+  GitHub: @peterkroon
+
+  The mdn-like theme is inspired on the displayed code examples at: https://developer.mozilla.org/en-US/docs/Web/CSS/animation
+
+*/
+.cm-s-mdn-like.CodeMirror { color: #999; background-color: #fff; }
+.cm-s-mdn-like div.CodeMirror-selected { background: #cfc; }
+.cm-s-mdn-like .CodeMirror-line::selection, .cm-s-mdn-like .CodeMirror-line > span::selection, .cm-s-mdn-like .CodeMirror-line > span > span::selection { background: #cfc; }
+.cm-s-mdn-like .CodeMirror-line::-moz-selection, .cm-s-mdn-like .CodeMirror-line > span::-moz-selection, .cm-s-mdn-like .CodeMirror-line > span > span::-moz-selection { background: #cfc; }
+
+.cm-s-mdn-like .CodeMirror-gutters { background: #f8f8f8; border-left: 6px solid rgba(0,83,159,0.65); color: #333; }
+.cm-s-mdn-like .CodeMirror-linenumber { color: #aaa; padding-left: 8px; }
+.cm-s-mdn-like .CodeMirror-cursor { border-left: 2px solid #222; }
+
+.cm-s-mdn-like .cm-keyword { color: #6262FF; }
+.cm-s-mdn-like .cm-atom { color: #F90; }
+.cm-s-mdn-like .cm-number { color:  #ca7841; }
+.cm-s-mdn-like .cm-def { color: #8DA6CE; }
+.cm-s-mdn-like span.cm-variable-2, .cm-s-mdn-like span.cm-tag { color: #690; }
+.cm-s-mdn-like span.cm-variable-3, .cm-s-mdn-like span.cm-def, .cm-s-mdn-like span.cm-type { color: #07a; }
+
+.cm-s-mdn-like .cm-variable { color: #07a; }
+.cm-s-mdn-like .cm-property { color: #905; }
+.cm-s-mdn-like .cm-qualifier { color: #690; }
+
+.cm-s-mdn-like .cm-operator { color: #cda869; }
+.cm-s-mdn-like .cm-comment { color:#777; font-weight:normal; }
+.cm-s-mdn-like .cm-string { color:#07a; font-style:italic; }
+.cm-s-mdn-like .cm-string-2 { color:#bd6b18; } /*?*/
+.cm-s-mdn-like .cm-meta { color: #000; } /*?*/
+.cm-s-mdn-like .cm-builtin { color: #9B7536; } /*?*/
+.cm-s-mdn-like .cm-tag { color: #997643; }
+.cm-s-mdn-like .cm-attribute { color: #d6bb6d; } /*?*/
+.cm-s-mdn-like .cm-header { color: #FF6400; }
+.cm-s-mdn-like .cm-hr { color: #AEAEAE; }
+.cm-s-mdn-like .cm-link { color:#ad9361; font-style:italic; text-decoration:none; }
+.cm-s-mdn-like .cm-error { border-bottom: 1px solid red; }
+
+div.cm-s-mdn-like .CodeMirror-activeline-background { background: #efefff; }
+div.cm-s-mdn-like span.CodeMirror-matchingbracket { outline:1px solid grey; color: inherit; }
+
+.cm-s-mdn-like.CodeMirror { background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAFcAAAAyCAYAAAAp8UeFAAAHvklEQVR42s2b63bcNgyEQZCSHCdt2vd/0tWF7I+Q6XgMXiTtuvU5Pl57ZQKkKHzEAOtF5KeIJBGJ8uvL599FRFREZhFx8DeXv8trn68RuGaC8TRfo3SNp9dlDDHedyLyTUTeRWStXKPZrjtpZxaRw5hPqozRs1N8/enzIiQRWcCgy4MUA0f+XWliDhyL8Lfyvx7ei/Ae3iQFHyw7U/59pQVIMEEPEz0G7XiwdRjzSfC3UTtz9vchIntxvry5iMgfIhJoEflOz2CQr3F5h/HfeFe+GTdLaKcu9L8LTeQb/R/7GgbsfKedyNdoHsN31uRPWrfZ5wsj/NzzRQHuToIdU3ahwnsKPxXCjJITuOsi7XLc7SG/v5GdALs7wf8JjTFiB5+QvTEfRyGOfX3Lrx8wxyQi3sNq46O7QahQiCsRFgqddjBouVEHOKDgXAQHD9gJCr5sMKkEdjwsarG/ww3BMHBU7OBjXnzdyY7SfCxf5/z6ATccrwlKuwC/jhznnPF4CgVzhhVf4xp2EixcBActO75iZ8/fM9zAs2OMzKdslgXWJ9XG8PQoOAMA5fGcsvORgv0doBXyHrCwfLJAOwo71QLNkb8n2Pl6EWiR7OCibtkPaz4Kc/0NNAze2gju3zOwekALDaCFPI5vjPFmgGY5AZqyGEvH1x7QfIb8YtxMnA/b+QQ0aQDAwc6JMFg8CbQZ4qoYEEHbRwNojuK3EHwd7VALSgq+MNDKzfT58T8qdpADrgW0GmgcAS1lhzztJmkAzcPNOQbsWEALBDSlMKUG0Eq4CLAQWvEVQ9WU57gZJwZtgPO3r9oBTQ9WO8TjqXINx8R0EYpiZEUWOF3FxkbJkgU9B2f41YBrIj5ZfsQa0M5kTgiAAqM3ShXLgu8XMqcrQBvJ0CL5pnTsfMB13oB8athpAq2XOQmcGmoACCLydx7nToa23ATaSIY2ichfOdPTGxlasXMLaL0MLZAOwAKIM+y8CmicobGdCcbbK9DzN+yYGVoNNI5iUKTMyYOjPse4A8SM1MmcXgU0toOq1yO/v8FOxlASyc7TgeYaAMBJHcY1CcCwGI/TK4AmDbDyKYBBtFUkRwto8gygiQEaByFgJ00BH2M8JWwQS1nafDXQCidWyOI8AcjDCSjCLk8ngObuAm3JAHAdubAmOaK06V8MNEsKPJOhobSprwQa6gD7DclRQdqcwL4zxqgBrQcabUiBLclRDKAlWp+etPkBaNMA0AKlrHwTdEByZAA4GM+SNluSY6wAzcMNewxmgig5Ks0nkrSpBvSaQHMdKTBAnLojOdYyGpQ254602ZILPdTD1hdlggdIm74jbTp8vDwF5ZYUeLWGJpWsh6XNyXgcYwVoJQTEhhTYkxzZjiU5npU2TaB979TQehlaAVq4kaGpiPwwwLkYUuBbQwocyQTv1tA0+1UFWoJF3iv1oq+qoSk8EQdJmwHkziIF7oOZk14EGitibAdjLYYK78H5vZOhtWpoI0ATGHs0Q8OMb4Ey+2bU2UYztCtA0wFAs7TplGLRVQCcqaFdGSPCeTI1QNIC52iWNzof6Uib7xjEp07mNNoUYmVosVItHrHzRlLgBn9LFyRHaQCtVUMbtTNhoXWiTOO9k/V8BdAc1Oq0ArSQs6/5SU0hckNy9NnXqQY0PGYo5dWJ7nINaN6o958FWin27aBaWRka1r5myvLOAm0j30eBJqCxHLReVclxhxOEN2JfDWjxBtAC7MIH1fVaGdoOp4qJYDgKtKPSFNID2gSnGldrCqkFZ+5UeQXQBIRrSwocbdZYQT/2LwRahBPBXoHrB8nxaGROST62DKUbQOMMzZIC9abkuELfQzQALWTnDNAm8KHWFOJgJ5+SHIvTPcmx1xQyZRhNL5Qci689aXMEaN/uNIWkEwDAvFpOZmgsBaaGnbs1NPa1Jm32gBZAIh1pCtG7TSH4aE0y1uVY4uqoFPisGlpP2rSA5qTecWn5agK6BzSpgAyD+wFaqhnYoSZ1Vwr8CmlTQbrcO3ZaX0NAEyMbYaAlyquFoLKK3SPby9CeVUPThrSJmkCAE0CrKUQadi4DrdSlWhmah0YL9z9vClH59YGbHx1J8VZTyAjQepJjmXwAKTDQI3omc3p1U4gDUf6RfcdYfrUp5ClAi2J3Ba6UOXGo+K+bQrjjssitG2SJzshaLwMtXgRagUNpYYoVkMSBLM+9GGiJZMvduG6DRZ4qc04DMPtQQxOjEtACmhO7K1AbNbQDEggZyJwscFpAGwENhoBeUwh3bWolhe8BTYVKxQEWrSUn/uhcM5KhvUu/+eQu0Lzhi+VrK0PrZZNDQKs9cpYUuFYgMVpD4/NxenJTiMCNqdUEUf1qZWjppLT5qSkkUZbCwkbZMSuVnu80hfSkzRbQeqCZSAh6huR4VtoM2gHAlLf72smuWgE+VV7XpE25Ab2WFDgyhnSuKbs4GuGzCjR+tIoUuMFg3kgcWKLTwRqanJQ2W00hAsenfaApRC42hbCvK1SlE0HtE9BGgneJO+ELamitD1YjjOYnNYVcraGhtKkW0EqVVeDx733I2NH581k1NNxNLG0i0IJ8/NjVaOZ0tYZ2Vtr0Xv7tPV3hkWp9EFkgS/J0vosngTaSoaG06WHi+xObQkaAdlbanP8B2+2l0f90LmUAAAAASUVORK5CYII=); }
+
+/*
+
+    Name:       seti
+    Author:     Michael Kaminsky (http://github.com/mkaminsky11)
+
+    Original seti color scheme by Jesse Weed (https://github.com/jesseweed/seti-syntax)
+
+*/
+
+
+.cm-s-seti.CodeMirror {
+  background-color: #151718 !important;
+  color: #CFD2D1 !important;
+  border: none;
+}
+.cm-s-seti .CodeMirror-gutters {
+  color: #404b53;
+  background-color: #0E1112;
+  border: none;
+}
+.cm-s-seti .CodeMirror-cursor { border-left: solid thin #f8f8f0; }
+.cm-s-seti .CodeMirror-linenumber { color: #6D8A88; }
+.cm-s-seti.CodeMirror-focused div.CodeMirror-selected { background: rgba(255, 255, 255, 0.10); }
+.cm-s-seti .CodeMirror-line::selection, .cm-s-seti .CodeMirror-line > span::selection, .cm-s-seti .CodeMirror-line > span > span::selection { background: rgba(255, 255, 255, 0.10); }
+.cm-s-seti .CodeMirror-line::-moz-selection, .cm-s-seti .CodeMirror-line > span::-moz-selection, .cm-s-seti .CodeMirror-line > span > span::-moz-selection { background: rgba(255, 255, 255, 0.10); }
+.cm-s-seti span.cm-comment { color: #41535b; }
+.cm-s-seti span.cm-string, .cm-s-seti span.cm-string-2 { color: #55b5db; }
+.cm-s-seti span.cm-number { color: #cd3f45; }
+.cm-s-seti span.cm-variable { color: #55b5db; }
+.cm-s-seti span.cm-variable-2 { color: #a074c4; }
+.cm-s-seti span.cm-def { color: #55b5db; }
+.cm-s-seti span.cm-keyword { color: #ff79c6; }
+.cm-s-seti span.cm-operator { color: #9fca56; }
+.cm-s-seti span.cm-keyword { color: #e6cd69; }
+.cm-s-seti span.cm-atom { color: #cd3f45; }
+.cm-s-seti span.cm-meta { color: #55b5db; }
+.cm-s-seti span.cm-tag { color: #55b5db; }
+.cm-s-seti span.cm-attribute { color: #9fca56; }
+.cm-s-seti span.cm-qualifier { color: #9fca56; }
+.cm-s-seti span.cm-property { color: #a074c4; }
+.cm-s-seti span.cm-variable-3, .cm-s-seti span.cm-type { color: #9fca56; }
+.cm-s-seti span.cm-builtin { color: #9fca56; }
+.cm-s-seti .CodeMirror-activeline-background { background: #101213; }
+.cm-s-seti .CodeMirror-matchingbracket { text-decoration: underline; color: white !important; }
+
+/*
+Solarized theme for code-mirror
+http://ethanschoonover.com/solarized
+*/
+
+/*
+Solarized color palette
+http://ethanschoonover.com/solarized/img/solarized-palette.png
+*/
+
+.solarized.base03 { color: #002b36; }
+.solarized.base02 { color: #073642; }
+.solarized.base01 { color: #586e75; }
+.solarized.base00 { color: #657b83; }
+.solarized.base0 { color: #839496; }
+.solarized.base1 { color: #93a1a1; }
+.solarized.base2 { color: #eee8d5; }
+.solarized.base3  { color: #fdf6e3; }
+.solarized.solar-yellow  { color: #b58900; }
+.solarized.solar-orange  { color: #cb4b16; }
+.solarized.solar-red { color: #dc322f; }
+.solarized.solar-magenta { color: #d33682; }
+.solarized.solar-violet  { color: #6c71c4; }
+.solarized.solar-blue { color: #268bd2; }
+.solarized.solar-cyan { color: #2aa198; }
+.solarized.solar-green { color: #859900; }
+
+/* Color scheme for code-mirror */
+
+.cm-s-solarized {
+  line-height: 1.45em;
+  color-profile: sRGB;
+  rendering-intent: auto;
+}
+.cm-s-solarized.cm-s-dark {
+  color: #839496;
+  background-color: #002b36;
+  text-shadow: #002b36 0 1px;
+}
+.cm-s-solarized.cm-s-light {
+  background-color: #fdf6e3;
+  color: #657b83;
+  text-shadow: #eee8d5 0 1px;
+}
+
+.cm-s-solarized .CodeMirror-widget {
+  text-shadow: none;
+}
+
+.cm-s-solarized .cm-header { color: #586e75; }
+.cm-s-solarized .cm-quote { color: #93a1a1; }
+
+.cm-s-solarized .cm-keyword { color: #cb4b16; }
+.cm-s-solarized .cm-atom { color: #d33682; }
+.cm-s-solarized .cm-number { color: #d33682; }
+.cm-s-solarized .cm-def { color: #2aa198; }
+
+.cm-s-solarized .cm-variable { color: #839496; }
+.cm-s-solarized .cm-variable-2 { color: #b58900; }
+.cm-s-solarized .cm-variable-3, .cm-s-solarized .cm-type { color: #6c71c4; }
+
+.cm-s-solarized .cm-property { color: #2aa198; }
+.cm-s-solarized .cm-operator { color: #6c71c4; }
+
+.cm-s-solarized .cm-comment { color: #586e75; font-style:italic; }
+
+.cm-s-solarized .cm-string { color: #859900; }
+.cm-s-solarized .cm-string-2 { color: #b58900; }
+
+.cm-s-solarized .cm-meta { color: #859900; }
+.cm-s-solarized .cm-qualifier { color: #b58900; }
+.cm-s-solarized .cm-builtin { color: #d33682; }
+.cm-s-solarized .cm-bracket { color: #cb4b16; }
+.cm-s-solarized .CodeMirror-matchingbracket { color: #859900; }
+.cm-s-solarized .CodeMirror-nonmatchingbracket { color: #dc322f; }
+.cm-s-solarized .cm-tag { color: #93a1a1; }
+.cm-s-solarized .cm-attribute { color: #2aa198; }
+.cm-s-solarized .cm-hr {
+  color: transparent;
+  border-top: 1px solid #586e75;
+  display: block;
+}
+.cm-s-solarized .cm-link { color: #93a1a1; cursor: pointer; }
+.cm-s-solarized .cm-special { color: #6c71c4; }
+.cm-s-solarized .cm-em {
+  color: #999;
+  text-decoration: underline;
+  text-decoration-style: dotted;
+}
+.cm-s-solarized .cm-error,
+.cm-s-solarized .cm-invalidchar {
+  color: #586e75;
+  border-bottom: 1px dotted #dc322f;
+}
+
+.cm-s-solarized.cm-s-dark div.CodeMirror-selected { background: #073642; }
+.cm-s-solarized.cm-s-dark.CodeMirror ::selection { background: rgba(7, 54, 66, 0.99); }
+.cm-s-solarized.cm-s-dark .CodeMirror-line::-moz-selection, .cm-s-dark .CodeMirror-line > span::-moz-selection, .cm-s-dark .CodeMirror-line > span > span::-moz-selection { background: rgba(7, 54, 66, 0.99); }
+
+.cm-s-solarized.cm-s-light div.CodeMirror-selected { background: #eee8d5; }
+.cm-s-solarized.cm-s-light .CodeMirror-line::selection, .cm-s-light .CodeMirror-line > span::selection, .cm-s-light .CodeMirror-line > span > span::selection { background: #eee8d5; }
+.cm-s-solarized.cm-s-light .CodeMirror-line::-moz-selection, .cm-s-ligh .CodeMirror-line > span::-moz-selection, .cm-s-ligh .CodeMirror-line > span > span::-moz-selection { background: #eee8d5; }
+
+/* Editor styling */
+
+
+
+/* Little shadow on the view-port of the buffer view */
+.cm-s-solarized.CodeMirror {
+  -moz-box-shadow: inset 7px 0 12px -6px #000;
+  -webkit-box-shadow: inset 7px 0 12px -6px #000;
+  box-shadow: inset 7px 0 12px -6px #000;
+}
+
+/* Remove gutter border */
+.cm-s-solarized .CodeMirror-gutters {
+  border-right: 0;
+}
+
+/* Gutter colors and line number styling based of color scheme (dark / light) */
+
+/* Dark */
+.cm-s-solarized.cm-s-dark .CodeMirror-gutters {
+  background-color: #073642;
+}
+
+.cm-s-solarized.cm-s-dark .CodeMirror-linenumber {
+  color: #586e75;
+  text-shadow: #021014 0 -1px;
+}
+
+/* Light */
+.cm-s-solarized.cm-s-light .CodeMirror-gutters {
+  background-color: #eee8d5;
+}
+
+.cm-s-solarized.cm-s-light .CodeMirror-linenumber {
+  color: #839496;
+}
+
+/* Common */
+.cm-s-solarized .CodeMirror-linenumber {
+  padding: 0 5px;
+}
+.cm-s-solarized .CodeMirror-guttermarker-subtle { color: #586e75; }
+.cm-s-solarized.cm-s-dark .CodeMirror-guttermarker { color: #ddd; }
+.cm-s-solarized.cm-s-light .CodeMirror-guttermarker { color: #cb4b16; }
+
+.cm-s-solarized .CodeMirror-gutter .CodeMirror-gutter-text {
+  color: #586e75;
+}
+
+/* Cursor */
+.cm-s-solarized .CodeMirror-cursor { border-left: 1px solid #819090; }
+
+/* Fat cursor */
+.cm-s-solarized.cm-s-light.cm-fat-cursor .CodeMirror-cursor { background: #77ee77; }
+.cm-s-solarized.cm-s-light .cm-animate-fat-cursor { background-color: #77ee77; }
+.cm-s-solarized.cm-s-dark.cm-fat-cursor .CodeMirror-cursor { background: #586e75; }
+.cm-s-solarized.cm-s-dark .cm-animate-fat-cursor { background-color: #586e75; }
+
+/* Active line */
+.cm-s-solarized.cm-s-dark .CodeMirror-activeline-background {
+  background: rgba(255, 255, 255, 0.06);
+}
+.cm-s-solarized.cm-s-light .CodeMirror-activeline-background {
+  background: rgba(0, 0, 0, 0.06);
+}
+
+.cm-s-the-matrix.CodeMirror { background: #000000; color: #00FF00; }
+.cm-s-the-matrix div.CodeMirror-selected { background: #2D2D2D; }
+.cm-s-the-matrix .CodeMirror-line::selection, .cm-s-the-matrix .CodeMirror-line > span::selection, .cm-s-the-matrix .CodeMirror-line > span > span::selection { background: rgba(45, 45, 45, 0.99); }
+.cm-s-the-matrix .CodeMirror-line::-moz-selection, .cm-s-the-matrix .CodeMirror-line > span::-moz-selection, .cm-s-the-matrix .CodeMirror-line > span > span::-moz-selection { background: rgba(45, 45, 45, 0.99); }
+.cm-s-the-matrix .CodeMirror-gutters { background: #060; border-right: 2px solid #00FF00; }
+.cm-s-the-matrix .CodeMirror-guttermarker { color: #0f0; }
+.cm-s-the-matrix .CodeMirror-guttermarker-subtle { color: white; }
+.cm-s-the-matrix .CodeMirror-linenumber { color: #FFFFFF; }
+.cm-s-the-matrix .CodeMirror-cursor { border-left: 1px solid #00FF00; }
+
+.cm-s-the-matrix span.cm-keyword { color: #008803; font-weight: bold; }
+.cm-s-the-matrix span.cm-atom { color: #3FF; }
+.cm-s-the-matrix span.cm-number { color: #FFB94F; }
+.cm-s-the-matrix span.cm-def { color: #99C; }
+.cm-s-the-matrix span.cm-variable { color: #F6C; }
+.cm-s-the-matrix span.cm-variable-2 { color: #C6F; }
+.cm-s-the-matrix span.cm-variable-3, .cm-s-the-matrix span.cm-type { color: #96F; }
+.cm-s-the-matrix span.cm-property { color: #62FFA0; }
+.cm-s-the-matrix span.cm-operator { color: #999; }
+.cm-s-the-matrix span.cm-comment { color: #CCCCCC; }
+.cm-s-the-matrix span.cm-string { color: #39C; }
+.cm-s-the-matrix span.cm-meta { color: #C9F; }
+.cm-s-the-matrix span.cm-qualifier { color: #FFF700; }
+.cm-s-the-matrix span.cm-builtin { color: #30a; }
+.cm-s-the-matrix span.cm-bracket { color: #cc7; }
+.cm-s-the-matrix span.cm-tag { color: #FFBD40; }
+.cm-s-the-matrix span.cm-attribute { color: #FFF700; }
+.cm-s-the-matrix span.cm-error { color: #FF0000; }
+
+.cm-s-the-matrix .CodeMirror-activeline-background { background: #040; }
+
+/*
+Copyright (C) 2011 by MarkLogic Corporation
+Author: Mike Brevoort <mike@brevoort.com>
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
+*/
+.cm-s-xq-light span.cm-keyword { line-height: 1em; font-weight: bold; color: #5A5CAD; }
+.cm-s-xq-light span.cm-atom { color: #6C8CD5; }
+.cm-s-xq-light span.cm-number { color: #164; }
+.cm-s-xq-light span.cm-def { text-decoration:underline; }
+.cm-s-xq-light span.cm-variable { color: black; }
+.cm-s-xq-light span.cm-variable-2 { color:black; }
+.cm-s-xq-light span.cm-variable-3, .cm-s-xq-light span.cm-type { color: black; }
+.cm-s-xq-light span.cm-property {}
+.cm-s-xq-light span.cm-operator {}
+.cm-s-xq-light span.cm-comment { color: #0080FF; font-style: italic; }
+.cm-s-xq-light span.cm-string { color: red; }
+.cm-s-xq-light span.cm-meta { color: yellow; }
+.cm-s-xq-light span.cm-qualifier { color: grey; }
+.cm-s-xq-light span.cm-builtin { color: #7EA656; }
+.cm-s-xq-light span.cm-bracket { color: #cc7; }
+.cm-s-xq-light span.cm-tag { color: #3F7F7F; }
+.cm-s-xq-light span.cm-attribute { color: #7F007F; }
+.cm-s-xq-light span.cm-error { color: #f00; }
+
+.cm-s-xq-light .CodeMirror-activeline-background { background: #e8f2ff; }
+.cm-s-xq-light .CodeMirror-matchingbracket { outline:1px solid grey;color:black !important;background:yellow; }
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.CodeMirror {
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  border: 0;
+  border-radius: 0;
+  height: auto;
+  /* Changed to auto to autogrow */
+}
+
+.CodeMirror pre {
+  padding: 0 var(--jp-code-padding);
+}
+
+.jp-CodeMirrorEditor[data-type='inline'] .CodeMirror-dialog {
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+}
+
+/* This causes https://github.com/jupyter/jupyterlab/issues/522 */
+/* May not cause it not because we changed it! */
+.CodeMirror-lines {
+  padding: var(--jp-code-padding) 0;
+}
+
+.CodeMirror-linenumber {
+  padding: 0 8px;
+}
+
+.jp-CodeMirrorEditor-static {
+  margin: var(--jp-code-padding);
+}
+
+.jp-CodeMirrorEditor,
+.jp-CodeMirrorEditor-static {
+  cursor: text;
+}
+
+.jp-CodeMirrorEditor[data-type='inline'] .CodeMirror-cursor {
+  border-left: var(--jp-code-cursor-width0) solid var(--jp-editor-cursor-color);
+}
+
+/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */
+@media screen and (min-width: 2138px) and (max-width: 4319px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .CodeMirror-cursor {
+    border-left: var(--jp-code-cursor-width1) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+/* When zoomed out less than 33% */
+@media screen and (min-width: 4320px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .CodeMirror-cursor {
+    border-left: var(--jp-code-cursor-width2) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+.CodeMirror.jp-mod-readOnly .CodeMirror-cursor {
+  display: none;
+}
+
+.CodeMirror-gutters {
+  border-right: 1px solid var(--jp-border-color2);
+  background-color: var(--jp-layout-color0);
+}
+
+.jp-CollaboratorCursor {
+  border-left: 5px solid transparent;
+  border-right: 5px solid transparent;
+  border-top: none;
+  border-bottom: 3px solid;
+  background-clip: content-box;
+  margin-left: -5px;
+  margin-right: -5px;
+}
+
+.CodeMirror-selectedtext.cm-searching {
+  background-color: var(--jp-search-selected-match-background-color) !important;
+  color: var(--jp-search-selected-match-color) !important;
+}
+
+.cm-searching {
+  background-color: var(
+    --jp-search-unselected-match-background-color
+  ) !important;
+  color: var(--jp-search-unselected-match-color) !important;
+}
+
+.CodeMirror-focused .CodeMirror-selected {
+  background-color: var(--jp-editor-selected-focused-background);
+}
+
+.CodeMirror-selected {
+  background-color: var(--jp-editor-selected-background);
+}
+
+.jp-CollaboratorCursor-hover {
+  position: absolute;
+  z-index: 1;
+  transform: translateX(-50%);
+  color: white;
+  border-radius: 3px;
+  padding-left: 4px;
+  padding-right: 4px;
+  padding-top: 1px;
+  padding-bottom: 1px;
+  text-align: center;
+  font-size: var(--jp-ui-font-size1);
+  white-space: nowrap;
+}
+
+.jp-CodeMirror-ruler {
+  border-left: 1px dashed var(--jp-border-color2);
+}
+
+/**
+ * Here is our jupyter theme for CodeMirror syntax highlighting
+ * This is used in our marked.js syntax highlighting and CodeMirror itself
+ * The string "jupyter" is set in ../codemirror/widget.DEFAULT_CODEMIRROR_THEME
+ * This came from the classic notebook, which came form highlight.js/GitHub
+ */
+
+/**
+ * CodeMirror themes are handling the background/color in this way. This works
+ * fine for CodeMirror editors outside the notebook, but the notebook styles
+ * these things differently.
+ */
+.CodeMirror.cm-s-jupyter {
+  background: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+}
+
+/* In the notebook, we want this styling to be handled by its container */
+.jp-CodeConsole .CodeMirror.cm-s-jupyter,
+.jp-Notebook .CodeMirror.cm-s-jupyter {
+  background: transparent;
+}
+
+.cm-s-jupyter .CodeMirror-cursor {
+  border-left: var(--jp-code-cursor-width0) solid var(--jp-editor-cursor-color);
+}
+.cm-s-jupyter span.cm-keyword {
+  color: var(--jp-mirror-editor-keyword-color);
+  font-weight: bold;
+}
+.cm-s-jupyter span.cm-atom {
+  color: var(--jp-mirror-editor-atom-color);
+}
+.cm-s-jupyter span.cm-number {
+  color: var(--jp-mirror-editor-number-color);
+}
+.cm-s-jupyter span.cm-def {
+  color: var(--jp-mirror-editor-def-color);
+}
+.cm-s-jupyter span.cm-variable {
+  color: var(--jp-mirror-editor-variable-color);
+}
+.cm-s-jupyter span.cm-variable-2 {
+  color: var(--jp-mirror-editor-variable-2-color);
+}
+.cm-s-jupyter span.cm-variable-3 {
+  color: var(--jp-mirror-editor-variable-3-color);
+}
+.cm-s-jupyter span.cm-punctuation {
+  color: var(--jp-mirror-editor-punctuation-color);
+}
+.cm-s-jupyter span.cm-property {
+  color: var(--jp-mirror-editor-property-color);
+}
+.cm-s-jupyter span.cm-operator {
+  color: var(--jp-mirror-editor-operator-color);
+  font-weight: bold;
+}
+.cm-s-jupyter span.cm-comment {
+  color: var(--jp-mirror-editor-comment-color);
+  font-style: italic;
+}
+.cm-s-jupyter span.cm-string {
+  color: var(--jp-mirror-editor-string-color);
+}
+.cm-s-jupyter span.cm-string-2 {
+  color: var(--jp-mirror-editor-string-2-color);
+}
+.cm-s-jupyter span.cm-meta {
+  color: var(--jp-mirror-editor-meta-color);
+}
+.cm-s-jupyter span.cm-qualifier {
+  color: var(--jp-mirror-editor-qualifier-color);
+}
+.cm-s-jupyter span.cm-builtin {
+  color: var(--jp-mirror-editor-builtin-color);
+}
+.cm-s-jupyter span.cm-bracket {
+  color: var(--jp-mirror-editor-bracket-color);
+}
+.cm-s-jupyter span.cm-tag {
+  color: var(--jp-mirror-editor-tag-color);
+}
+.cm-s-jupyter span.cm-attribute {
+  color: var(--jp-mirror-editor-attribute-color);
+}
+.cm-s-jupyter span.cm-header {
+  color: var(--jp-mirror-editor-header-color);
+}
+.cm-s-jupyter span.cm-quote {
+  color: var(--jp-mirror-editor-quote-color);
+}
+.cm-s-jupyter span.cm-link {
+  color: var(--jp-mirror-editor-link-color);
+}
+.cm-s-jupyter span.cm-error {
+  color: var(--jp-mirror-editor-error-color);
+}
+.cm-s-jupyter span.cm-hr {
+  color: #999;
+}
+
+.cm-s-jupyter span.cm-tab {
+  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
+  background-position: right;
+  background-repeat: no-repeat;
+}
+
+.cm-s-jupyter .CodeMirror-activeline-background,
+.cm-s-jupyter .CodeMirror-gutter {
+  background-color: var(--jp-layout-color2);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensurePackage() in @jupyterlab/buildutils */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| RenderedText
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedText {
+  text-align: left;
+  padding-left: var(--jp-code-padding);
+  line-height: var(--jp-code-line-height);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-RenderedText pre,
+.jp-RenderedJavaScript pre,
+.jp-RenderedHTMLCommon pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+  border: none;
+  margin: 0px;
+  padding: 0px;
+  line-height: normal;
+}
+
+.jp-RenderedText pre a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+.jp-RenderedText pre a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+.jp-RenderedText pre a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* console foregrounds and backgrounds */
+.jp-RenderedText pre .ansi-black-fg {
+  color: #3e424d;
+}
+.jp-RenderedText pre .ansi-red-fg {
+  color: #e75c58;
+}
+.jp-RenderedText pre .ansi-green-fg {
+  color: #00a250;
+}
+.jp-RenderedText pre .ansi-yellow-fg {
+  color: #ddb62b;
+}
+.jp-RenderedText pre .ansi-blue-fg {
+  color: #208ffb;
+}
+.jp-RenderedText pre .ansi-magenta-fg {
+  color: #d160c4;
+}
+.jp-RenderedText pre .ansi-cyan-fg {
+  color: #60c6c8;
+}
+.jp-RenderedText pre .ansi-white-fg {
+  color: #c5c1b4;
+}
+
+.jp-RenderedText pre .ansi-black-bg {
+  background-color: #3e424d;
+}
+.jp-RenderedText pre .ansi-red-bg {
+  background-color: #e75c58;
+}
+.jp-RenderedText pre .ansi-green-bg {
+  background-color: #00a250;
+}
+.jp-RenderedText pre .ansi-yellow-bg {
+  background-color: #ddb62b;
+}
+.jp-RenderedText pre .ansi-blue-bg {
+  background-color: #208ffb;
+}
+.jp-RenderedText pre .ansi-magenta-bg {
+  background-color: #d160c4;
+}
+.jp-RenderedText pre .ansi-cyan-bg {
+  background-color: #60c6c8;
+}
+.jp-RenderedText pre .ansi-white-bg {
+  background-color: #c5c1b4;
+}
+
+.jp-RenderedText pre .ansi-black-intense-fg {
+  color: #282c36;
+}
+.jp-RenderedText pre .ansi-red-intense-fg {
+  color: #b22b31;
+}
+.jp-RenderedText pre .ansi-green-intense-fg {
+  color: #007427;
+}
+.jp-RenderedText pre .ansi-yellow-intense-fg {
+  color: #b27d12;
+}
+.jp-RenderedText pre .ansi-blue-intense-fg {
+  color: #0065ca;
+}
+.jp-RenderedText pre .ansi-magenta-intense-fg {
+  color: #a03196;
+}
+.jp-RenderedText pre .ansi-cyan-intense-fg {
+  color: #258f8f;
+}
+.jp-RenderedText pre .ansi-white-intense-fg {
+  color: #a1a6b2;
+}
+
+.jp-RenderedText pre .ansi-black-intense-bg {
+  background-color: #282c36;
+}
+.jp-RenderedText pre .ansi-red-intense-bg {
+  background-color: #b22b31;
+}
+.jp-RenderedText pre .ansi-green-intense-bg {
+  background-color: #007427;
+}
+.jp-RenderedText pre .ansi-yellow-intense-bg {
+  background-color: #b27d12;
+}
+.jp-RenderedText pre .ansi-blue-intense-bg {
+  background-color: #0065ca;
+}
+.jp-RenderedText pre .ansi-magenta-intense-bg {
+  background-color: #a03196;
+}
+.jp-RenderedText pre .ansi-cyan-intense-bg {
+  background-color: #258f8f;
+}
+.jp-RenderedText pre .ansi-white-intense-bg {
+  background-color: #a1a6b2;
+}
+
+.jp-RenderedText pre .ansi-default-inverse-fg {
+  color: var(--jp-ui-inverse-font-color0);
+}
+.jp-RenderedText pre .ansi-default-inverse-bg {
+  background-color: var(--jp-inverse-layout-color0);
+}
+
+.jp-RenderedText pre .ansi-bold {
+  font-weight: bold;
+}
+.jp-RenderedText pre .ansi-underline {
+  text-decoration: underline;
+}
+
+.jp-RenderedText[data-mime-type='application/vnd.jupyter.stderr'] {
+  background: var(--jp-rendermime-error-background);
+  padding-top: var(--jp-code-padding);
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedLatex
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedLatex {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+}
+
+/* Left-justify outputs.*/
+.jp-OutputArea-output.jp-RenderedLatex {
+  padding: var(--jp-code-padding);
+  text-align: left;
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedHTML
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedHTMLCommon {
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-content-font-family);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+  /* Give a bit more R padding on Markdown text to keep line lengths reasonable */
+  padding-right: 20px;
+}
+
+.jp-RenderedHTMLCommon em {
+  font-style: italic;
+}
+
+.jp-RenderedHTMLCommon strong {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon u {
+  text-decoration: underline;
+}
+
+.jp-RenderedHTMLCommon a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* Headings */
+
+.jp-RenderedHTMLCommon h1,
+.jp-RenderedHTMLCommon h2,
+.jp-RenderedHTMLCommon h3,
+.jp-RenderedHTMLCommon h4,
+.jp-RenderedHTMLCommon h5,
+.jp-RenderedHTMLCommon h6 {
+  line-height: var(--jp-content-heading-line-height);
+  font-weight: var(--jp-content-heading-font-weight);
+  font-style: normal;
+  margin: var(--jp-content-heading-margin-top) 0
+    var(--jp-content-heading-margin-bottom) 0;
+}
+
+.jp-RenderedHTMLCommon h1:first-child,
+.jp-RenderedHTMLCommon h2:first-child,
+.jp-RenderedHTMLCommon h3:first-child,
+.jp-RenderedHTMLCommon h4:first-child,
+.jp-RenderedHTMLCommon h5:first-child,
+.jp-RenderedHTMLCommon h6:first-child {
+  margin-top: calc(0.5 * var(--jp-content-heading-margin-top));
+}
+
+.jp-RenderedHTMLCommon h1:last-child,
+.jp-RenderedHTMLCommon h2:last-child,
+.jp-RenderedHTMLCommon h3:last-child,
+.jp-RenderedHTMLCommon h4:last-child,
+.jp-RenderedHTMLCommon h5:last-child,
+.jp-RenderedHTMLCommon h6:last-child {
+  margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom));
+}
+
+.jp-RenderedHTMLCommon h1 {
+  font-size: var(--jp-content-font-size5);
+}
+
+.jp-RenderedHTMLCommon h2 {
+  font-size: var(--jp-content-font-size4);
+}
+
+.jp-RenderedHTMLCommon h3 {
+  font-size: var(--jp-content-font-size3);
+}
+
+.jp-RenderedHTMLCommon h4 {
+  font-size: var(--jp-content-font-size2);
+}
+
+.jp-RenderedHTMLCommon h5 {
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-RenderedHTMLCommon h6 {
+  font-size: var(--jp-content-font-size0);
+}
+
+/* Lists */
+
+.jp-RenderedHTMLCommon ul:not(.list-inline),
+.jp-RenderedHTMLCommon ol:not(.list-inline) {
+  padding-left: 2em;
+}
+
+.jp-RenderedHTMLCommon ul {
+  list-style: disc;
+}
+
+.jp-RenderedHTMLCommon ul ul {
+  list-style: square;
+}
+
+.jp-RenderedHTMLCommon ul ul ul {
+  list-style: circle;
+}
+
+.jp-RenderedHTMLCommon ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol ol {
+  list-style: upper-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol {
+  list-style: lower-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol {
+  list-style: lower-roman;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol,
+.jp-RenderedHTMLCommon ul {
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon ul ul,
+.jp-RenderedHTMLCommon ul ol,
+.jp-RenderedHTMLCommon ol ul,
+.jp-RenderedHTMLCommon ol ol {
+  margin-bottom: 0em;
+}
+
+.jp-RenderedHTMLCommon hr {
+  color: var(--jp-border-color2);
+  background-color: var(--jp-border-color1);
+  margin-top: 1em;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon > pre {
+  margin: 1.5em 2em;
+}
+
+.jp-RenderedHTMLCommon pre,
+.jp-RenderedHTMLCommon code {
+  border: 0;
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  line-height: var(--jp-code-line-height);
+  padding: 0;
+  white-space: pre-wrap;
+}
+
+.jp-RenderedHTMLCommon :not(pre) > code {
+  background-color: var(--jp-layout-color2);
+  padding: 1px 5px;
+}
+
+/* Tables */
+
+.jp-RenderedHTMLCommon table {
+  border-collapse: collapse;
+  border-spacing: 0;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  font-size: 12px;
+  table-layout: fixed;
+  margin-left: auto;
+  margin-right: auto;
+}
+
+.jp-RenderedHTMLCommon thead {
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  vertical-align: bottom;
+}
+
+.jp-RenderedHTMLCommon td,
+.jp-RenderedHTMLCommon th,
+.jp-RenderedHTMLCommon tr {
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon td,
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon th {
+  max-width: none;
+}
+
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr {
+  text-align: right;
+}
+
+.jp-RenderedHTMLCommon th {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(odd) {
+  background: var(--jp-layout-color0);
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(even) {
+  background: var(--jp-rendermime-table-row-background);
+}
+
+.jp-RenderedHTMLCommon tbody tr:hover {
+  background: var(--jp-rendermime-table-row-hover-background);
+}
+
+.jp-RenderedHTMLCommon table {
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon p {
+  text-align: left;
+  margin: 0px;
+}
+
+.jp-RenderedHTMLCommon p {
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon img {
+  -moz-force-broken-image-icon: 1;
+}
+
+/* Restrict to direct children as other images could be nested in other content. */
+.jp-RenderedHTMLCommon > img {
+  display: block;
+  margin-left: 0;
+  margin-right: 0;
+  margin-bottom: 1em;
+}
+
+/* Change color behind transparent images if they need it... */
+[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-light-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-dark-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+/* ...or leave it untouched if they don't */
+[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-dark-background {
+}
+[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-light-background {
+}
+
+.jp-RenderedHTMLCommon img,
+.jp-RenderedImage img,
+.jp-RenderedHTMLCommon svg,
+.jp-RenderedSVG svg {
+  max-width: 100%;
+  height: auto;
+}
+
+.jp-RenderedHTMLCommon img.jp-mod-unconfined,
+.jp-RenderedImage img.jp-mod-unconfined,
+.jp-RenderedHTMLCommon svg.jp-mod-unconfined,
+.jp-RenderedSVG svg.jp-mod-unconfined {
+  max-width: none;
+}
+
+.jp-RenderedHTMLCommon .alert {
+  padding: var(--jp-notebook-padding);
+  border: var(--jp-border-width) solid transparent;
+  border-radius: var(--jp-border-radius);
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon .alert-info {
+  color: var(--jp-info-color0);
+  background-color: var(--jp-info-color3);
+  border-color: var(--jp-info-color2);
+}
+.jp-RenderedHTMLCommon .alert-info hr {
+  border-color: var(--jp-info-color3);
+}
+.jp-RenderedHTMLCommon .alert-info > p:last-child,
+.jp-RenderedHTMLCommon .alert-info > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-warning {
+  color: var(--jp-warn-color0);
+  background-color: var(--jp-warn-color3);
+  border-color: var(--jp-warn-color2);
+}
+.jp-RenderedHTMLCommon .alert-warning hr {
+  border-color: var(--jp-warn-color3);
+}
+.jp-RenderedHTMLCommon .alert-warning > p:last-child,
+.jp-RenderedHTMLCommon .alert-warning > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-success {
+  color: var(--jp-success-color0);
+  background-color: var(--jp-success-color3);
+  border-color: var(--jp-success-color2);
+}
+.jp-RenderedHTMLCommon .alert-success hr {
+  border-color: var(--jp-success-color3);
+}
+.jp-RenderedHTMLCommon .alert-success > p:last-child,
+.jp-RenderedHTMLCommon .alert-success > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-danger {
+  color: var(--jp-error-color0);
+  background-color: var(--jp-error-color3);
+  border-color: var(--jp-error-color2);
+}
+.jp-RenderedHTMLCommon .alert-danger hr {
+  border-color: var(--jp-error-color3);
+}
+.jp-RenderedHTMLCommon .alert-danger > p:last-child,
+.jp-RenderedHTMLCommon .alert-danger > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon blockquote {
+  margin: 1em 2em;
+  padding: 0 1em;
+  border-left: 5px solid var(--jp-border-color2);
+}
+
+a.jp-InternalAnchorLink {
+  visibility: hidden;
+  margin-left: 8px;
+  color: var(--md-blue-800);
+}
+
+h1:hover .jp-InternalAnchorLink,
+h2:hover .jp-InternalAnchorLink,
+h3:hover .jp-InternalAnchorLink,
+h4:hover .jp-InternalAnchorLink,
+h5:hover .jp-InternalAnchorLink,
+h6:hover .jp-InternalAnchorLink {
+  visibility: visible;
+}
+
+.jp-RenderedHTMLCommon kbd {
+  background-color: var(--jp-rendermime-table-row-background);
+  border: 1px solid var(--jp-border-color0);
+  border-bottom-color: var(--jp-border-color2);
+  border-radius: 3px;
+  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
+  display: inline-block;
+  font-size: 0.8em;
+  line-height: 1em;
+  padding: 0.2em 0.5em;
+}
+
+/* Most direct children of .jp-RenderedHTMLCommon have a margin-bottom of 1.0.
+ * At the bottom of cells this is a bit too much as there is also spacing
+ * between cells. Going all the way to 0 gets too tight between markdown and
+ * code cells.
+ */
+.jp-RenderedHTMLCommon > *:last-child {
+  margin-bottom: 0.5em;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensurePackage() in @jupyterlab/buildutils */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MimeDocument {
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensurePackage() in @jupyterlab/buildutils */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-filebrowser-button-height: 28px;
+  --jp-private-filebrowser-button-width: 48px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser {
+  display: flex;
+  flex-direction: column;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-FileBrowser-toolbar.jp-Toolbar {
+  border-bottom: none;
+  height: auto;
+  margin: var(--jp-toolbar-header-margin);
+  box-shadow: none;
+}
+
+.jp-BreadCrumbs {
+  flex: 0 0 auto;
+  margin: 4px 12px;
+}
+
+.jp-BreadCrumbs-item {
+  margin: 0px 2px;
+  padding: 0px 2px;
+  border-radius: var(--jp-border-radius);
+  cursor: pointer;
+}
+
+.jp-BreadCrumbs-item:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-BreadCrumbs-item:first-child {
+  margin-left: 0px;
+}
+
+.jp-BreadCrumbs-item.jp-mod-dropTarget {
+  background-color: var(--jp-brand-color2);
+  opacity: 0.7;
+}
+
+/*-----------------------------------------------------------------------------
+| Buttons
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser-toolbar.jp-Toolbar {
+  padding: 0px;
+}
+
+.jp-FileBrowser-toolbar.jp-Toolbar {
+  justify-content: space-evenly;
+}
+
+.jp-FileBrowser-toolbar.jp-Toolbar .jp-Toolbar-item {
+  flex: 1;
+}
+
+.jp-FileBrowser-toolbar.jp-Toolbar .jp-ToolbarButtonComponent {
+  width: 100%;
+}
+
+/*-----------------------------------------------------------------------------
+| DirListing
+|----------------------------------------------------------------------------*/
+
+.jp-DirListing {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+  outline: 0;
+}
+
+.jp-DirListing-header {
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  overflow: hidden;
+  border-top: var(--jp-border-width) solid var(--jp-border-color2);
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+}
+
+.jp-DirListing-headerItem {
+  padding: 4px 12px 2px 12px;
+  font-weight: 500;
+}
+
+.jp-DirListing-headerItem:hover {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-headerItem.jp-id-name {
+  flex: 1 0 84px;
+}
+
+.jp-DirListing-headerItem.jp-id-modified {
+  flex: 0 0 112px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-DirListing-narrow .jp-id-modified,
+.jp-DirListing-narrow .jp-DirListing-itemModified {
+  display: none;
+}
+
+.jp-DirListing-headerItem.jp-mod-selected {
+  font-weight: 600;
+}
+
+/* increase specificity to override bundled default */
+.jp-DirListing-content {
+  flex: 1 1 auto;
+  margin: 0;
+  padding: 0;
+  list-style-type: none;
+  overflow: auto;
+  background-color: var(--jp-layout-color1);
+}
+
+/* Style the directory listing content when a user drops a file to upload */
+.jp-DirListing.jp-mod-native-drop .jp-DirListing-content {
+  outline: 5px dashed rgba(128, 128, 128, 0.5);
+  outline-offset: -10px;
+  cursor: copy;
+}
+
+.jp-DirListing-item {
+  display: flex;
+  flex-direction: row;
+  padding: 4px 12px;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-DirListing-item.jp-mod-selected {
+  color: white;
+  background: var(--jp-brand-color1);
+}
+
+.jp-DirListing-item.jp-mod-dropTarget {
+  background: var(--jp-brand-color3);
+}
+
+.jp-DirListing-item:hover:not(.jp-mod-selected) {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-itemIcon {
+  flex: 0 0 20px;
+  margin-right: 4px;
+}
+
+.jp-DirListing-itemText {
+  flex: 1 0 64px;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  user-select: none;
+}
+
+.jp-DirListing-itemModified {
+  flex: 0 0 125px;
+  text-align: right;
+}
+
+.jp-DirListing-editor {
+  flex: 1 0 64px;
+  outline: none;
+  border: none;
+}
+
+.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon:before {
+  color: limegreen;
+  content: '\25CF';
+  font-size: 8px;
+  position: absolute;
+  left: -8px;
+}
+
+.jp-DirListing-item.lm-mod-drag-image,
+.jp-DirListing-item.jp-mod-selected.lm-mod-drag-image {
+  font-size: var(--jp-ui-font-size1);
+  padding-left: 4px;
+  margin-left: 4px;
+  width: 160px;
+  background-color: var(--jp-ui-inverse-font-color2);
+  box-shadow: var(--jp-elevation-z2);
+  border-radius: 0px;
+  color: var(--jp-ui-font-color1);
+  transform: translateX(-40%) translateY(-58%);
+}
+
+.jp-DirListing-deadSpace {
+  flex: 1 1 auto;
+  margin: 0;
+  padding: 0;
+  list-style-type: none;
+  overflow: auto;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-Document {
+  min-width: 120px;
+  min-height: 120px;
+  outline: none;
+}
+
+.jp-FileDialog.jp-mod-conflict input {
+  color: red;
+}
+
+.jp-FileDialog .jp-new-name-title {
+  margin-top: 12px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensurePackage() in @jupyterlab/buildutils */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Private CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+}
+
+/*-----------------------------------------------------------------------------
+| Main OutputArea
+| OutputArea has a list of Outputs
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea {
+  overflow-y: auto;
+}
+
+.jp-OutputArea-child {
+  display: flex;
+  flex-direction: row;
+}
+
+.jp-OutputPrompt {
+  flex: 0 0 var(--jp-cell-prompt-width);
+  color: var(--jp-cell-outprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+  opacity: var(--jp-cell-prompt-opacity);
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-OutputArea-output {
+  height: auto;
+  overflow: auto;
+  user-select: text;
+  -moz-user-select: text;
+  -webkit-user-select: text;
+  -ms-user-select: text;
+}
+
+.jp-OutputArea-child .jp-OutputArea-output {
+  flex-grow: 1;
+  flex-shrink: 1;
+}
+
+/**
+ * Isolated output.
+ */
+.jp-OutputArea-output.jp-mod-isolated {
+  width: 100%;
+  display: block;
+}
+
+/*
+When drag events occur, `p-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated:before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/* pre */
+
+.jp-OutputArea-output pre {
+  border: none;
+  margin: 0px;
+  padding: 0px;
+  overflow-x: auto;
+  overflow-y: auto;
+  word-break: break-all;
+  word-wrap: break-word;
+  white-space: pre-wrap;
+}
+
+/* tables */
+
+.jp-OutputArea-output.jp-RenderedHTMLCommon table {
+  margin-left: 0;
+  margin-right: 0;
+}
+
+/* description lists */
+
+.jp-OutputArea-output dl,
+.jp-OutputArea-output dt,
+.jp-OutputArea-output dd {
+  display: block;
+}
+
+.jp-OutputArea-output dl {
+  width: 100%;
+  overflow: hidden;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dt {
+  font-weight: bold;
+  float: left;
+  width: 20%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dd {
+  float: left;
+  width: 80%;
+  padding: 0;
+  margin: 0;
+}
+
+/* Hide the gutter in case of
+ *  - nested output areas (e.g. in the case of output widgets)
+ *  - mirrored output areas
+ */
+.jp-OutputArea .jp-OutputArea .jp-OutputArea-prompt {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| executeResult is added to any Output-result for the display of the object
+| returned by a cell
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea-output.jp-OutputArea-executeResult {
+  margin-left: 0px;
+  flex: 1 1 auto;
+}
+
+.jp-OutputArea-executeResult.jp-RenderedText {
+  padding-top: var(--jp-code-padding);
+}
+
+/*-----------------------------------------------------------------------------
+| The Stdin output
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea-stdin {
+  line-height: var(--jp-code-line-height);
+  padding-top: var(--jp-code-padding);
+  display: flex;
+}
+
+.jp-Stdin-prompt {
+  color: var(--jp-content-font-color0);
+  padding-right: var(--jp-code-padding);
+  vertical-align: baseline;
+  flex: 0 0 auto;
+}
+
+.jp-Stdin-input {
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  color: inherit;
+  background-color: inherit;
+  width: 42%;
+  min-width: 200px;
+  /* make sure input baseline aligns with prompt */
+  vertical-align: baseline;
+  /* padding + margin = 0.5em between prompt and cursor */
+  padding: 0em 0.25em;
+  margin: 0em 0.25em;
+  flex: 0 0 70%;
+}
+
+.jp-Stdin-input:focus {
+  box-shadow: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Output Area View
+|----------------------------------------------------------------------------*/
+
+.jp-LinkedOutputView .jp-OutputArea {
+  height: 100%;
+  display: block;
+}
+
+.jp-LinkedOutputView .jp-OutputArea-output:only-child {
+  height: 100%;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensurePackage() in @jupyterlab/buildutils */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapser {
+  flex: 0 0 var(--jp-cell-collapser-width);
+  padding: 0px;
+  margin: 0px;
+  border: none;
+  outline: none;
+  background: transparent;
+  border-radius: var(--jp-border-radius);
+  opacity: 1;
+}
+
+.jp-Collapser-child {
+  display: block;
+  width: 100%;
+  box-sizing: border-box;
+  /* height: 100% doesn't work because the height of its parent is computed from content */
+  position: absolute;
+  top: 0px;
+  bottom: 0px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Header/Footer
+|----------------------------------------------------------------------------*/
+
+/* Hidden by zero height by default */
+.jp-CellHeader,
+.jp-CellFooter {
+  height: 0px;
+  width: 100%;
+  padding: 0px;
+  margin: 0px;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Input
+|----------------------------------------------------------------------------*/
+
+/* All input areas */
+.jp-InputArea {
+  display: flex;
+  flex-direction: row;
+}
+
+.jp-InputArea-editor {
+  flex: 1 1 auto;
+}
+
+.jp-InputArea-editor {
+  /* This is the non-active, default styling */
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0px;
+  background: var(--jp-cell-editor-background);
+}
+
+.jp-InputPrompt {
+  flex: 0 0 var(--jp-cell-prompt-width);
+  color: var(--jp-cell-inprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  opacity: var(--jp-cell-prompt-opacity);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+  opacity: var(--jp-cell-prompt-opacity);
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Placeholder {
+  display: flex;
+  flex-direction: row;
+  flex: 1 1 auto;
+}
+
+.jp-Placeholder-prompt {
+  box-sizing: border-box;
+}
+
+.jp-Placeholder-content {
+  flex: 1 1 auto;
+  border: none;
+  background: transparent;
+  height: 20px;
+  box-sizing: border-box;
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon {
+  width: 32px;
+  height: 16px;
+  border: 1px solid transparent;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon:hover {
+  border: 1px solid var(--jp-border-color1);
+  box-shadow: 0px 0px 2px 0px rgba(0, 0, 0, 0.25);
+  background-color: var(--jp-layout-color0);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Private CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-cell-scrolling-output-offset: 5px;
+}
+
+/*-----------------------------------------------------------------------------
+| Cell
+|----------------------------------------------------------------------------*/
+
+.jp-Cell {
+  padding: var(--jp-cell-padding);
+  margin: 0px;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Common input/output
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-inputWrapper,
+.jp-Cell-outputWrapper {
+  display: flex;
+  flex-direction: row;
+  padding: 0px;
+  margin: 0px;
+  /* Added to reveal the box-shadow on the input and output collapsers. */
+  overflow: visible;
+}
+
+/* Only input/output areas inside cells */
+.jp-Cell-inputArea,
+.jp-Cell-outputArea {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Collapser
+|----------------------------------------------------------------------------*/
+
+/* Make the output collapser disappear when there is not output, but do so
+ * in a manner that leaves it in the layout and preserves its width.
+ */
+.jp-Cell.jp-mod-noOutputs .jp-Cell-outputCollapser {
+  border: none !important;
+  background: transparent !important;
+}
+
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputCollapser {
+  min-height: var(--jp-cell-collapser-min-height);
+}
+
+/*-----------------------------------------------------------------------------
+| Output
+|----------------------------------------------------------------------------*/
+
+/* Put a space between input and output when there IS output */
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputWrapper {
+  margin-top: 5px;
+}
+
+/* Text output with the Out[] prompt needs a top padding to match the
+ * alignment of the Out[] prompt itself.
+ */
+.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output {
+  padding-top: var(--jp-code-padding);
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea {
+  overflow-y: auto;
+  max-height: 200px;
+  box-shadow: inset 0 0 6px 2px rgba(0, 0, 0, 0.3);
+  margin-left: var(--jp-private-cell-scrolling-output-offset);
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt {
+  flex: 0 0
+    calc(
+      var(--jp-cell-prompt-width) -
+        var(--jp-private-cell-scrolling-output-offset)
+    );
+}
+
+/*-----------------------------------------------------------------------------
+| CodeCell
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| MarkdownCell
+|----------------------------------------------------------------------------*/
+
+.jp-MarkdownOutput {
+  flex: 1 1 auto;
+  margin-top: 0;
+  margin-bottom: 0;
+  padding-left: var(--jp-code-padding);
+}
+
+.jp-MarkdownOutput.jp-RenderedHTMLCommon {
+  overflow: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensurePackage() in @jupyterlab/buildutils */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookPanel-toolbar {
+  padding: 2px;
+}
+
+.jp-Toolbar-item.jp-Notebook-toolbarCellType .jp-select-wrapper.jp-mod-focused {
+  border: none;
+  box-shadow: none;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown select {
+  height: 24px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: 14px;
+  border-radius: 0;
+  display: block;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown span {
+  top: 5px !important;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Private CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-notebook-dragImage-width: 304px;
+  --jp-private-notebook-dragImage-height: 36px;
+  --jp-private-notebook-selected-color: var(--md-blue-400);
+  --jp-private-notebook-active-color: var(--md-green-400);
+}
+
+/*-----------------------------------------------------------------------------
+| Imports
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Notebook
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookPanel {
+  display: block;
+  height: 100%;
+}
+
+.jp-NotebookPanel.jp-Document {
+  min-width: 240px;
+  min-height: 120px;
+}
+
+.jp-Notebook {
+  padding: var(--jp-notebook-padding);
+  outline: none;
+  overflow: auto;
+  background: var(--jp-layout-color0);
+}
+
+.jp-Notebook.jp-mod-scrollPastEnd::after {
+  display: block;
+  content: '';
+  min-height: var(--jp-notebook-scroll-padding);
+}
+
+.jp-Notebook .jp-Cell {
+  overflow: visible;
+}
+
+.jp-Notebook .jp-Cell .jp-InputPrompt {
+  cursor: move;
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook state related styling
+|
+| The notebook and cells each have states, here are the possibilities:
+|
+| - Notebook
+|   - Command
+|   - Edit
+| - Cell
+|   - None
+|   - Active (only one can be active)
+|   - Selected (the cells actions are applied to)
+|   - Multiselected (when multiple selected, the cursor)
+|   - No outputs
+|----------------------------------------------------------------------------*/
+
+/* Command or edit modes */
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-InputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-OutputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+/* cell is active */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser {
+  background: var(--jp-brand-color1);
+}
+
+/* collapser is hovered */
+.jp-Notebook .jp-Cell .jp-Collapser:hover {
+  box-shadow: var(--jp-elevation-z2);
+  background: var(--jp-brand-color1);
+  opacity: var(--jp-cell-collapser-not-active-hover-opacity);
+}
+
+/* cell is active and collapser is hovered */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser:hover {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/* Command mode */
+
+.jp-Notebook.jp-mod-commandMode .jp-Cell.jp-mod-selected {
+  background: var(--jp-notebook-multiselected-color);
+}
+
+.jp-Notebook.jp-mod-commandMode
+  .jp-Cell.jp-mod-active.jp-mod-selected:not(.jp-mod-multiSelected) {
+  background: transparent;
+}
+
+/* Edit mode */
+
+.jp-Notebook.jp-mod-editMode .jp-Cell.jp-mod-active .jp-InputArea-editor {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-cell-editor-active-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook drag and drop
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-cell.jp-mod-dropSource {
+  opacity: 0.5;
+}
+
+.jp-Notebook-cell.jp-mod-dropTarget,
+.jp-Notebook.jp-mod-commandMode
+  .jp-Notebook-cell.jp-mod-active.jp-mod-selected.jp-mod-dropTarget {
+  border-top-color: var(--jp-private-notebook-selected-color);
+  border-top-style: solid;
+  border-top-width: 2px;
+}
+
+.jp-dragImage {
+  display: flex;
+  flex-direction: row;
+  width: var(--jp-private-notebook-dragImage-width);
+  height: var(--jp-private-notebook-dragImage-height);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+  overflow: visible;
+}
+
+.jp-dragImage-singlePrompt {
+  box-shadow: 2px 2px 4px 0px rgba(0, 0, 0, 0.12);
+}
+
+.jp-dragImage .jp-dragImage-content {
+  flex: 1 1 auto;
+  z-index: 2;
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  line-height: var(--jp-code-line-height);
+  padding: var(--jp-code-padding);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background-color);
+  color: var(--jp-content-font-color3);
+  text-align: left;
+  margin: 4px 4px 4px 0px;
+}
+
+.jp-dragImage .jp-dragImage-prompt {
+  flex: 0 0 auto;
+  min-width: 36px;
+  color: var(--jp-cell-inprompt-font-color);
+  padding: var(--jp-code-padding);
+  padding-left: 12px;
+  font-family: var(--jp-cell-prompt-font-family);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: 1.9;
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+}
+
+.jp-dragImage-multipleBack {
+  z-index: -1;
+  position: absolute;
+  height: 32px;
+  width: 300px;
+  top: 8px;
+  left: 8px;
+  background: var(--jp-layout-color2);
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  box-shadow: 2px 2px 4px 0px rgba(0, 0, 0, 0.12);
+}
+
+/*-----------------------------------------------------------------------------
+| Cell toolbar
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookTools {
+  display: block;
+  min-width: var(--jp-sidebar-min-width);
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+  /* This is needed so that all font sizing of children done in ems is
+    * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  overflow: auto;
+}
+
+.jp-NotebookTools-tool {
+  padding: 0px 12px 0 12px;
+}
+
+.jp-ActiveCellTool {
+  padding: 12px;
+  background-color: var(--jp-layout-color1);
+  border-top: none !important;
+}
+
+.jp-ActiveCellTool .jp-InputArea-prompt {
+  flex: 0 0 auto;
+  padding-left: 0px;
+}
+
+.jp-ActiveCellTool .jp-InputArea-editor {
+  flex: 1 1 auto;
+  background: var(--jp-cell-editor-background);
+  border-color: var(--jp-cell-editor-border-color);
+}
+
+.jp-ActiveCellTool .jp-InputArea-editor .CodeMirror {
+  background: transparent;
+}
+
+.jp-MetadataEditorTool {
+  flex-direction: column;
+  padding: 12px 0px 12px 0px;
+}
+
+.jp-RankedPanel > :not(:first-child) {
+  margin-top: 12px;
+}
+
+.jp-KeySelector select.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+}
+
+.jp-KeySelector label,
+.jp-MetadataEditorTool label {
+  line-height: 1.4;
+}
+
+/*-----------------------------------------------------------------------------
+| Presentation Mode (.jp-mod-presentationMode)
+|----------------------------------------------------------------------------*/
+
+.jp-mod-presentationMode .jp-Notebook {
+  --jp-content-font-size1: var(--jp-content-presentation-font-size1);
+  --jp-code-font-size: var(--jp-code-presentation-font-size);
+}
+
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-InputPrompt,
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-OutputPrompt {
+  flex: 0 0 110px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensurePackage() in @jupyterlab/buildutils */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+</style>
+
+    <style type="text/css">
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*
+The following CSS variables define the main, public API for styling JupyterLab.
+These variables should be used by all plugins wherever possible. In other
+words, plugins should not define custom colors, sizes, etc unless absolutely
+necessary. This enables users to change the visual theme of JupyterLab
+by changing these variables.
+
+Many variables appear in an ordered sequence (0,1,2,3). These sequences
+are designed to work well together, so for example, `--jp-border-color1` should
+be used with `--jp-layout-color1`. The numbers have the following meanings:
+
+* 0: super-primary, reserved for special emphasis
+* 1: primary, most important under normal situations
+* 2: secondary, next most important under normal situations
+* 3: tertiary, next most important under normal situations
+
+Throughout JupyterLab, we are mostly following principles from Google's
+Material Design when selecting colors. We are not, however, following
+all of MD as it is not optimized for dense, information rich UIs.
+*/
+
+:root {
+  /* Elevation
+   *
+   * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here:
+   *
+   * https://github.com/material-components/material-components-web
+   * https://material-components-web.appspot.com/elevation.html
+   */
+
+  --jp-shadow-base-lightness: 0;
+  --jp-shadow-umbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.2
+  );
+  --jp-shadow-penumbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.14
+  );
+  --jp-shadow-ambient-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.12
+  );
+  --jp-elevation-z0: none;
+  --jp-elevation-z1: 0px 2px 1px -1px var(--jp-shadow-umbra-color),
+    0px 1px 1px 0px var(--jp-shadow-penumbra-color),
+    0px 1px 3px 0px var(--jp-shadow-ambient-color);
+  --jp-elevation-z2: 0px 3px 1px -2px var(--jp-shadow-umbra-color),
+    0px 2px 2px 0px var(--jp-shadow-penumbra-color),
+    0px 1px 5px 0px var(--jp-shadow-ambient-color);
+  --jp-elevation-z4: 0px 2px 4px -1px var(--jp-shadow-umbra-color),
+    0px 4px 5px 0px var(--jp-shadow-penumbra-color),
+    0px 1px 10px 0px var(--jp-shadow-ambient-color);
+  --jp-elevation-z6: 0px 3px 5px -1px var(--jp-shadow-umbra-color),
+    0px 6px 10px 0px var(--jp-shadow-penumbra-color),
+    0px 1px 18px 0px var(--jp-shadow-ambient-color);
+  --jp-elevation-z8: 0px 5px 5px -3px var(--jp-shadow-umbra-color),
+    0px 8px 10px 1px var(--jp-shadow-penumbra-color),
+    0px 3px 14px 2px var(--jp-shadow-ambient-color);
+  --jp-elevation-z12: 0px 7px 8px -4px var(--jp-shadow-umbra-color),
+    0px 12px 17px 2px var(--jp-shadow-penumbra-color),
+    0px 5px 22px 4px var(--jp-shadow-ambient-color);
+  --jp-elevation-z16: 0px 8px 10px -5px var(--jp-shadow-umbra-color),
+    0px 16px 24px 2px var(--jp-shadow-penumbra-color),
+    0px 6px 30px 5px var(--jp-shadow-ambient-color);
+  --jp-elevation-z20: 0px 10px 13px -6px var(--jp-shadow-umbra-color),
+    0px 20px 31px 3px var(--jp-shadow-penumbra-color),
+    0px 8px 38px 7px var(--jp-shadow-ambient-color);
+  --jp-elevation-z24: 0px 11px 15px -7px var(--jp-shadow-umbra-color),
+    0px 24px 38px 3px var(--jp-shadow-penumbra-color),
+    0px 9px 46px 8px var(--jp-shadow-ambient-color);
+
+  /* Borders
+   *
+   * The following variables, specify the visual styling of borders in JupyterLab.
+   */
+
+  --jp-border-width: 1px;
+  --jp-border-color0: var(--md-grey-400);
+  --jp-border-color1: var(--md-grey-400);
+  --jp-border-color2: var(--md-grey-300);
+  --jp-border-color3: var(--md-grey-200);
+  --jp-border-radius: 2px;
+
+  /* UI Fonts
+   *
+   * The UI font CSS variables are used for the typography all of the JupyterLab
+   * user interface elements that are not directly user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-ui-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-ui-font-scale-factor: 1.2;
+  --jp-ui-font-size0: 0.83333em;
+  --jp-ui-font-size1: 13px; /* Base font size */
+  --jp-ui-font-size2: 1.2em;
+  --jp-ui-font-size3: 1.44em;
+
+  --jp-ui-font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Helvetica,
+    Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol';
+
+  /*
+   * Use these font colors against the corresponding main layout colors.
+   * In a light theme, these go from dark to light.
+   */
+
+  /* Defaults use Material Design specification */
+  --jp-ui-font-color0: rgba(0, 0, 0, 1);
+  --jp-ui-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-ui-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-ui-font-color3: rgba(0, 0, 0, 0.38);
+
+  /*
+   * Use these against the brand/accent/warn/error colors.
+   * These will typically go from light to darker, in both a dark and light theme.
+   */
+
+  --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7);
+  --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5);
+
+  /* Content Fonts
+   *
+   * Content font variables are used for typography of user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-content-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-content-line-height: 1.6;
+  --jp-content-font-scale-factor: 1.2;
+  --jp-content-font-size0: 0.83333em;
+  --jp-content-font-size1: 14px; /* Base font size */
+  --jp-content-font-size2: 1.2em;
+  --jp-content-font-size3: 1.44em;
+  --jp-content-font-size4: 1.728em;
+  --jp-content-font-size5: 2.0736em;
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-content-presentation-font-size1: 17px;
+
+  --jp-content-heading-line-height: 1;
+  --jp-content-heading-margin-top: 1.2em;
+  --jp-content-heading-margin-bottom: 0.8em;
+  --jp-content-heading-font-weight: 500;
+
+  /* Defaults use Material Design specification */
+  --jp-content-font-color0: rgba(0, 0, 0, 1);
+  --jp-content-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-content-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-content-font-color3: rgba(0, 0, 0, 0.38);
+
+  --jp-content-link-color: var(--md-blue-700);
+
+  --jp-content-font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI',
+    Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',
+    'Segoe UI Symbol';
+
+  /*
+   * Code Fonts
+   *
+   * Code font variables are used for typography of code and other monospaces content.
+   */
+
+  --jp-code-font-size: 13px;
+  --jp-code-line-height: 1.3077; /* 17px for 13px base */
+  --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */
+  --jp-code-font-family-default: Menlo, Consolas, 'DejaVu Sans Mono', monospace;
+  --jp-code-font-family: var(--jp-code-font-family-default);
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-code-presentation-font-size: 16px;
+
+  /* may need to tweak cursor width if you change font size */
+  --jp-code-cursor-width0: 1.4px;
+  --jp-code-cursor-width1: 2px;
+  --jp-code-cursor-width2: 4px;
+
+  /* Layout
+   *
+   * The following are the main layout colors use in JupyterLab. In a light
+   * theme these would go from light to dark.
+   */
+
+  --jp-layout-color0: white;
+  --jp-layout-color1: white;
+  --jp-layout-color2: var(--md-grey-200);
+  --jp-layout-color3: var(--md-grey-400);
+  --jp-layout-color4: var(--md-grey-600);
+
+  /* Inverse Layout
+   *
+   * The following are the inverse layout colors use in JupyterLab. In a light
+   * theme these would go from dark to light.
+   */
+
+  --jp-inverse-layout-color0: #111111;
+  --jp-inverse-layout-color1: var(--md-grey-900);
+  --jp-inverse-layout-color2: var(--md-grey-800);
+  --jp-inverse-layout-color3: var(--md-grey-700);
+  --jp-inverse-layout-color4: var(--md-grey-600);
+
+  /* Brand/accent */
+
+  --jp-brand-color0: var(--md-blue-700);
+  --jp-brand-color1: var(--md-blue-500);
+  --jp-brand-color2: var(--md-blue-300);
+  --jp-brand-color3: var(--md-blue-100);
+  --jp-brand-color4: var(--md-blue-50);
+
+  --jp-accent-color0: var(--md-green-700);
+  --jp-accent-color1: var(--md-green-500);
+  --jp-accent-color2: var(--md-green-300);
+  --jp-accent-color3: var(--md-green-100);
+
+  /* State colors (warn, error, success, info) */
+
+  --jp-warn-color0: var(--md-orange-700);
+  --jp-warn-color1: var(--md-orange-500);
+  --jp-warn-color2: var(--md-orange-300);
+  --jp-warn-color3: var(--md-orange-100);
+
+  --jp-error-color0: var(--md-red-700);
+  --jp-error-color1: var(--md-red-500);
+  --jp-error-color2: var(--md-red-300);
+  --jp-error-color3: var(--md-red-100);
+
+  --jp-success-color0: var(--md-green-700);
+  --jp-success-color1: var(--md-green-500);
+  --jp-success-color2: var(--md-green-300);
+  --jp-success-color3: var(--md-green-100);
+
+  --jp-info-color0: var(--md-cyan-700);
+  --jp-info-color1: var(--md-cyan-500);
+  --jp-info-color2: var(--md-cyan-300);
+  --jp-info-color3: var(--md-cyan-100);
+
+  /* Cell specific styles */
+
+  --jp-cell-padding: 5px;
+
+  --jp-cell-collapser-width: 8px;
+  --jp-cell-collapser-min-height: 20px;
+  --jp-cell-collapser-not-active-hover-opacity: 0.6;
+
+  --jp-cell-editor-background: var(--md-grey-100);
+  --jp-cell-editor-border-color: var(--md-grey-300);
+  --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-cell-editor-active-background: var(--jp-layout-color0);
+  --jp-cell-editor-active-border-color: var(--jp-brand-color1);
+
+  --jp-cell-prompt-width: 64px;
+  --jp-cell-prompt-font-family: 'Source Code Pro', monospace;
+  --jp-cell-prompt-letter-spacing: 0px;
+  --jp-cell-prompt-opacity: 1;
+  --jp-cell-prompt-not-active-opacity: 0.5;
+  --jp-cell-prompt-not-active-font-color: var(--md-grey-700);
+  /* A custom blend of MD grey and blue 600
+   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
+  --jp-cell-inprompt-font-color: #307fc1;
+  /* A custom blend of MD grey and orange 600
+   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */
+  --jp-cell-outprompt-font-color: #bf5b3d;
+
+  /* Notebook specific styles */
+
+  --jp-notebook-padding: 10px;
+  --jp-notebook-select-background: var(--jp-layout-color1);
+  --jp-notebook-multiselected-color: var(--md-blue-50);
+
+  /* The scroll padding is calculated to fill enough space at the bottom of the
+  notebook to show one single-line cell (with appropriate padding) at the top
+  when the notebook is scrolled all the way to the bottom. We also subtract one
+  pixel so that no scrollbar appears if we have just one single-line cell in the
+  notebook. This padding is to enable a 'scroll past end' feature in a notebook.
+  */
+  --jp-notebook-scroll-padding: calc(
+    100% - var(--jp-code-font-size) * var(--jp-code-line-height) -
+      var(--jp-code-padding) - var(--jp-cell-padding) - 1px
+  );
+
+  /* Rendermime styles */
+
+  --jp-rendermime-error-background: #fdd;
+  --jp-rendermime-table-row-background: var(--md-grey-100);
+  --jp-rendermime-table-row-hover-background: var(--md-light-blue-50);
+
+  /* Dialog specific styles */
+
+  --jp-dialog-background: rgba(0, 0, 0, 0.25);
+
+  /* Console specific styles */
+
+  --jp-console-padding: 10px;
+
+  /* Toolbar specific styles */
+
+  --jp-toolbar-border-color: var(--jp-border-color1);
+  --jp-toolbar-micro-height: 8px;
+  --jp-toolbar-background: var(--jp-layout-color1);
+  --jp-toolbar-box-shadow: 0px 0px 2px 0px rgba(0, 0, 0, 0.24);
+  --jp-toolbar-header-margin: 4px 4px 0px 4px;
+  --jp-toolbar-active-background: var(--md-grey-300);
+
+  /* Input field styles */
+
+  --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-input-active-background: var(--jp-layout-color1);
+  --jp-input-hover-background: var(--jp-layout-color1);
+  --jp-input-background: var(--md-grey-100);
+  --jp-input-border-color: var(--jp-border-color1);
+  --jp-input-active-border-color: var(--jp-brand-color1);
+  --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3);
+
+  /* General editor styles */
+
+  --jp-editor-selected-background: #d9d9d9;
+  --jp-editor-selected-focused-background: #d7d4f0;
+  --jp-editor-cursor-color: var(--jp-ui-font-color0);
+
+  /* Code mirror specific styles */
+
+  --jp-mirror-editor-keyword-color: #008000;
+  --jp-mirror-editor-atom-color: #88f;
+  --jp-mirror-editor-number-color: #080;
+  --jp-mirror-editor-def-color: #00f;
+  --jp-mirror-editor-variable-color: var(--md-grey-900);
+  --jp-mirror-editor-variable-2-color: #05a;
+  --jp-mirror-editor-variable-3-color: #085;
+  --jp-mirror-editor-punctuation-color: #05a;
+  --jp-mirror-editor-property-color: #05a;
+  --jp-mirror-editor-operator-color: #aa22ff;
+  --jp-mirror-editor-comment-color: #408080;
+  --jp-mirror-editor-string-color: #ba2121;
+  --jp-mirror-editor-string-2-color: #708;
+  --jp-mirror-editor-meta-color: #aa22ff;
+  --jp-mirror-editor-qualifier-color: #555;
+  --jp-mirror-editor-builtin-color: #008000;
+  --jp-mirror-editor-bracket-color: #997;
+  --jp-mirror-editor-tag-color: #170;
+  --jp-mirror-editor-attribute-color: #00c;
+  --jp-mirror-editor-header-color: blue;
+  --jp-mirror-editor-quote-color: #090;
+  --jp-mirror-editor-link-color: #00c;
+  --jp-mirror-editor-error-color: #f00;
+  --jp-mirror-editor-hr-color: #999;
+
+  /* Vega extension styles */
+
+  --jp-vega-background: white;
+
+  /* Sidebar-related styles */
+
+  --jp-sidebar-min-width: 180px;
+
+  /* Search-related styles */
+
+  --jp-search-toggle-off-opacity: 0.5;
+  --jp-search-toggle-hover-opacity: 0.8;
+  --jp-search-toggle-on-opacity: 1;
+  --jp-search-selected-match-background-color: rgb(245, 200, 0);
+  --jp-search-selected-match-color: black;
+  --jp-search-unselected-match-background-color: var(
+    --jp-inverse-layout-color0
+  );
+  --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);
+
+  /* Icon colors that work well with light or dark backgrounds */
+  --jp-icon-contrast-color0: var(--md-purple-600);
+  --jp-icon-contrast-color1: var(--md-green-600);
+  --jp-icon-contrast-color2: var(--md-pink-600);
+  --jp-icon-contrast-color3: var(--md-blue-600);
+}
+</style>
+
+<style type="text/css">
+a.anchor-link {
+   display: none;
+}
+.highlight  {
+    margin: 0.4em;
+}
+
+/* Input area styling */
+.jp-InputArea {
+    overflow: hidden;
+}
+
+.jp-InputArea-editor {
+    overflow: hidden;
+}
+
+@media print {
+  body {
+    margin: 0;
+  }
+}
+</style>
+
+
+
+<!-- Load mathjax -->
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-MML-AM_CHTML-full,Safe"> </script>
+    <!-- MathJax configuration -->
+    <script type="text/x-mathjax-config">
+    init_mathjax = function() {
+        if (window.MathJax) {
+        // MathJax loaded
+            MathJax.Hub.Config({
+                TeX: {
+                    equationNumbers: {
+                    autoNumber: "AMS",
+                    useLabelIds: true
+                    }
+                },
+                tex2jax: {
+                    inlineMath: [ ['$','$'], ["\\(","\\)"] ],
+                    displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
+                    processEscapes: true,
+                    processEnvironments: true
+                },
+                displayAlign: 'center',
+                CommonHTML: {
+                    linebreaks: { 
+                    automatic: true 
+                    }
+                },
+                "HTML-CSS": {
+                    linebreaks: { 
+                    automatic: true 
+                    }
+                }
+            });
+        
+            MathJax.Hub.Queue(["Typeset", MathJax.Hub]);
+        }
+    }
+    init_mathjax();
+    </script>
+    <!-- End of mathjax configuration --></head>
+<body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light">
+
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<h1 id="Work-Motivation-Under-Lockdown-Exploratory-Data-Analysis-(EDA)">Work Motivation Under Lockdown Exploratory Data Analysis (EDA)<a class="anchor-link" href="#Work-Motivation-Under-Lockdown-Exploratory-Data-Analysis-(EDA)">&#182;</a></h1>
+</div>
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<p>Two datasets...</p>
+<ol>
+<li><p>Post-workday evaluations of work motivation related stuff. Large spread across how many time points people collected; few decent-ish ones.</p>
+</li>
+<li><p>Traditional questionnaires from the same participants.</p>
+<ul>
+<li>Allocation indicates whether they took part in our motivation self-management training during the period or belonged to a waitlist control group.</li>
+<li>Pre-, mid- and post-questionnaires --&gt; TIME == 1, 2 and 3 respectively.</li>
+<li>Everything from intrinsic1 to Psycap5 are raw answers. From Intrinsic to Optimism are sumscores.</li>
+<li>This was a feasibility &amp; acceptability study so it's not powered for or aiming to look at outcomes. But if there was one, it could be the "Relative Autonomy Index" (RAI), a sumscore conventionally built as: <ul>
+<li>Amotivation <em> -3 + ExternalTotal </em> -2 + Introjected <em> -1 + Identified </em> 2 + Intrinsic * 3</li>
+</ul>
+</li>
+<li>If I remember correctly, there were some people whose RAI was boosted a lot</li>
+<li>In general:<ul>
+<li>Good things to go up during the intervention (or life in general):<ul>
+<li>Intrinsic, Identified</li>
+<li>Competence, Relatedness, Autonomy</li>
+</ul>
+</li>
+<li>Bad things to go up during the intervention (or life in general):<ul>
+<li>Amotivation, External (material &amp; social), Introjected</li>
+<li>AutonomyThwarting, RelatednessThwarting, CompetenceThwarting<ul>
+<li>Unsure if these were named in the data, or just some of the items named autonomyx/relatednessx/competencex</li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</li>
+</ol>
+
+</div>
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<h1 id="This-EDA-only-addresses-the-daily-data,-specifically-data==&quot;data/moti_feasibility_james_daily.csv&quot;">This EDA only addresses the daily data, specifically <code>data=="data/moti_feasibility_james_daily.csv"</code><a class="anchor-link" href="#This-EDA-only-addresses-the-daily-data,-specifically-data==&quot;data/moti_feasibility_james_daily.csv&quot;">&#182;</a></h1>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[1]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
+
+<span class="n">tmp</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">chdir</span><span class="p">(</span><span class="n">tmp</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">&quot;Coding/&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="s2">&quot;Coding/data-science-core-develop&quot;</span><span class="p">)</span>
+
+<span class="kn">from</span> <span class="nn">neuropy.correlation</span> <span class="kn">import</span> <span class="p">(</span><span class="n">correlation_analysis</span><span class="p">,</span> 
+                                 <span class="n">correlations_as_sample_increases</span><span class="p">,</span> 
+                                <span class="n">plot_correlogram</span><span class="p">)</span>
+<span class="kn">from</span> <span class="nn">neuropy.utils</span> <span class="kn">import</span> <span class="n">tiny_summary</span>
+<span class="kn">from</span> <span class="nn">neuropy.anomaly_detection</span> <span class="kn">import</span> <span class="n">univariate_outlier_removal</span>
+<span class="kn">from</span> <span class="nn">neuropy.frequentist_statistics</span> <span class="kn">import</span> <span class="p">(</span><span class="n">analysis_independent_t_test</span><span class="p">,</span>
+                                            <span class="n">analysis_independent_mannwhitneyu_test</span><span class="p">,</span>
+                                            <span class="n">normal_check</span><span class="p">,</span> 
+                                            <span class="n">find_optimal_transformation</span><span class="p">,</span> 
+                                            <span class="n">apply_power_transformations</span><span class="p">,</span>
+                                           <span class="n">multiple_ICCs</span><span class="p">,</span>
+                                           <span class="n">bland_altman_plot_repeated</span><span class="p">,</span>
+                                           <span class="n">diagnostic_plots</span><span class="p">)</span>
+
+<span class="n">_</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">chdir</span><span class="p">(</span><span class="n">tmp</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[2]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="kn">from</span> <span class="nn">matplotlib.colors</span> <span class="kn">import</span> <span class="n">LinearSegmentedColormap</span>
+<span class="kn">import</span> <span class="nn">session_info</span>
+
+<span class="c1"># from jmspack.NLTSA import (flatten, </span>
+<span class="c1">#                           ts_levels,</span>
+<span class="c1">#                           fluctuation_intensity,</span>
+<span class="c1">#                           distribution_uniformity,</span>
+<span class="c1">#                           complexity_resonance,</span>
+<span class="c1">#                           complexity_resonance_diagram)</span>
+
+<span class="kn">from</span> <span class="nn">sklearn.preprocessing</span> <span class="kn">import</span> <span class="n">MinMaxScaler</span><span class="p">,</span> <span class="n">StandardScaler</span>
+
+<span class="kn">from</span> <span class="nn">work_motivation_extras</span> <span class="kn">import</span> <span class="o">*</span>
+
+<span class="kn">import</span> <span class="nn">statsmodels.api</span> <span class="k">as</span> <span class="nn">sm</span>
+<span class="kn">import</span> <span class="nn">statsmodels.formula.api</span> <span class="k">as</span> <span class="nn">smf</span>
+
+<span class="c1"># Import the lmm model class</span>
+<span class="c1"># from pymer4.models import Lmer</span>
+<span class="c1"># from pymer4.stats import rsquared, rsquared_adj, vif</span>
+
+<span class="c1"># To use this experimental feature, we need to explicitly ask for it:</span>
+<span class="c1"># from sklearn.experimental import enable_iterative_imputer  # noqa</span>
+<span class="c1"># from sklearn.impute import IterativeImputer</span>
+<span class="c1"># from sklearn.tree import DecisionTreeRegressor</span>
+<span class="c1"># from sklearn.ensemble import ExtraTreesRegressor</span>
+<span class="c1"># from sklearn.neighbors import KNeighborsRegressor</span>
+<span class="c1"># from sklearn.pipeline import make_pipeline</span>
+
+<span class="c1"># from pyunicorn.timeseries import RecurrencePlot</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[3]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">sklearn.metrics</span> <span class="kn">import</span> <span class="n">mean_squared_error</span><span class="p">,</span> <span class="n">mean_absolute_error</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<p>Show the session information of the packages used in this analysis</p>
+
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[4]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">session_info</span><span class="o">.</span><span class="n">show</span><span class="p">(</span><span class="n">write_req_file</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+                  <span class="n">req_file_name</span><span class="o">=</span><span class="s2">&quot;work_motivation_pre_mid_post_EDA_requirements.txt&quot;</span><span class="p">,)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[4]:</div>
+
+
+
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<details>
+<summary>Click to view session information</summary>
+<pre>
+-----
+matplotlib          3.3.4
+neuropy             1.4.3
+numpy               1.19.2
+pandas              1.2.3
+seaborn             0.11.1
+session_info        1.0.0
+sklearn             0.24.1
+statsmodels         0.12.2
+-----
+</pre>
+<details>
+<summary>Click to view modules imported as dependencies</summary>
+<pre>
+PIL                         8.1.2
+appnope                     0.1.2
+backcall                    0.2.0
+cffi                        1.14.5
+colorama                    0.4.4
+cycler                      0.10.0
+cython_runtime              NA
+dateutil                    2.8.1
+decorator                   4.4.2
+ipykernel                   5.3.4
+ipython_genutils            0.2.0
+ipywidgets                  7.6.3
+jedi                        0.17.2
+joblib                      0.17.0
+kiwisolver                  1.3.1
+mpl_toolkits                NA
+parso                       0.7.0
+patsy                       0.5.1
+pexpect                     4.8.0
+pickleshare                 0.7.5
+pkg_resources               NA
+prompt_toolkit              3.0.8
+ptyprocess                  0.7.0
+pyexpat                     NA
+pygments                    2.8.1
+pyparsing                   2.4.7
+pytz                        2021.1
+scipy                       1.5.3
+six                         1.15.0
+storemagic                  NA
+tornado                     6.1
+traitlets                   5.0.5
+wcwidth                     0.2.5
+work_motivation_extras      NA
+zmq                         20.0.0
+</pre>
+</details> <!-- seems like this ends pre, so might as well be explicit -->
+<pre>
+-----
+IPython             7.21.0
+jupyter_client      6.1.7
+jupyter_core        4.7.1
+jupyterlab          2.2.6
+notebook            6.2.0
+-----
+Python 3.9.2 (default, Mar  3 2021, 11:58:52) [Clang 10.0.0 ]
+macOS-10.16-x86_64-i386-64bit
+-----
+Session information updated at 2021-06-13 20:54
+</pre>
+</details>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<h2 id="Read-in-the-raw-daily-data">Read in the raw daily data<a class="anchor-link" href="#Read-in-the-raw-daily-data">&#182;</a></h2>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[5]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s2">&quot;data/moti_feasibility_james_pre-mid-post.csv&quot;</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[6]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">_df</span> <span class="o">=</span> <span class="n">_df</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">date</span><span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">to_datetime</span><span class="p">(</span><span class="n">_df</span><span class="p">[</span><span class="s2">&quot;datestamp&quot;</span><span class="p">],</span> <span class="nb">format</span><span class="o">=</span><span class="s2">&quot;%Y-%m-</span><span class="si">%d</span><span class="s2"> %H:%M:%S&quot;</span><span class="p">))</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[7]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">convert_numeric_where_possible</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
+    <span class="k">try</span><span class="p">:</span>
+        <span class="k">return</span> <span class="n">x</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">number</span><span class="p">)</span>
+    <span class="k">except</span><span class="p">:</span>
+        <span class="k">return</span> <span class="n">x</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<h2 id="Reshape-the-data-frame-and-convert-data-types-to-numeric-where-possible">Reshape the data frame and convert data types to numeric where possible<a class="anchor-link" href="#Reshape-the-data-frame-and-convert-data-types-to-numeric-where-possible">&#182;</a></h2>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[8]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">demographics_columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;User&#39;</span><span class="p">,</span> <span class="s1">&#39;TIME&#39;</span><span class="p">,</span> <span class="s1">&#39;date&#39;</span><span class="p">,</span> <span class="s1">&#39;Allocation&#39;</span><span class="p">,</span> <span class="s1">&#39;gender&#39;</span><span class="p">,</span> <span class="s1">&#39;age&#39;</span><span class="p">,</span> <span class="s1">&#39;education&#39;</span><span class="p">]</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[9]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">target_columns</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;Amotivation&quot;</span><span class="p">,</span> <span class="s2">&quot;ExternalTotal&quot;</span><span class="p">,</span> <span class="s2">&quot;Introjected&quot;</span><span class="p">,</span> <span class="s2">&quot;Identified&quot;</span><span class="p">,</span> <span class="s2">&quot;Intrinsic&quot;</span><span class="p">]</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[10]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="p">(</span><span class="n">_df</span>
+      <span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s2">&quot;datestamp&quot;</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+      <span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="n">convert_numeric_where_possible</span><span class="p">)</span>
+      <span class="o">.</span><span class="n">loc</span><span class="p">[:,</span> <span class="n">demographics_columns</span> <span class="o">+</span> <span class="n">sum_scores_columns</span><span class="p">]</span>
+      <span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">RAI</span> <span class="o">=</span> <span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="p">[</span><span class="s2">&quot;Amotivation&quot;</span><span class="p">]</span> <span class="o">*</span> <span class="o">-</span><span class="mi">3</span> <span class="o">+</span> <span class="n">x</span><span class="p">[</span><span class="s2">&quot;ExternalTotal&quot;</span><span class="p">]</span> <span class="o">*</span> <span class="o">-</span><span class="mi">2</span> <span class="o">+</span> <span class="n">x</span><span class="p">[</span><span class="s2">&quot;Introjected&quot;</span><span class="p">]</span> <span class="o">*</span> <span class="o">-</span><span class="mi">1</span> <span class="o">+</span> <span class="n">x</span><span class="p">[</span><span class="s2">&quot;Identified&quot;</span><span class="p">]</span> <span class="o">*</span> <span class="mi">2</span> <span class="o">+</span> <span class="n">x</span><span class="p">[</span><span class="s2">&quot;Intrinsic&quot;</span><span class="p">]</span> <span class="o">*</span> <span class="mi">3</span><span class="p">)</span>
+     <span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">target_columns</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">))</span>
+<span class="n">df</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[10]:</div>
+
+
+
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>User</th>
+      <th>TIME</th>
+      <th>date</th>
+      <th>Allocation</th>
+      <th>gender</th>
+      <th>age</th>
+      <th>education</th>
+      <th>ExternalSocial</th>
+      <th>ExternalMaterial</th>
+      <th>AutonomySat</th>
+      <th>...</th>
+      <th>Interest</th>
+      <th>Control</th>
+      <th>AutonomousFunctioning</th>
+      <th>IncStructResources</th>
+      <th>DecHinderDemands</th>
+      <th>IncChallengeDemands</th>
+      <th>IncSocialResources</th>
+      <th>Resilience</th>
+      <th>Optimism</th>
+      <th>RAI</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>0</th>
+      <td>AAMoti?1</td>
+      <td>1.0</td>
+      <td>2020-03-27 09:01:15</td>
+      <td>NaN</td>
+      <td>0.0</td>
+      <td>54.0</td>
+      <td>A4</td>
+      <td>3.0</td>
+      <td>1.333333</td>
+      <td>4.50</td>
+      <td>...</td>
+      <td>2.8</td>
+      <td>1.6</td>
+      <td>4.8</td>
+      <td>6.2</td>
+      <td>3.0</td>
+      <td>4.6</td>
+      <td>4.2</td>
+      <td>4.666667</td>
+      <td>5.5</td>
+      <td>10.75</td>
+    </tr>
+    <tr>
+      <th>1</th>
+      <td>AAMoti?2</td>
+      <td>1.0</td>
+      <td>2020-04-23 13:16:36</td>
+      <td>NaN</td>
+      <td>0.0</td>
+      <td>41.0</td>
+      <td>A5</td>
+      <td>5.0</td>
+      <td>2.000000</td>
+      <td>3.75</td>
+      <td>...</td>
+      <td>4.6</td>
+      <td>3.6</td>
+      <td>5.0</td>
+      <td>4.0</td>
+      <td>2.0</td>
+      <td>2.8</td>
+      <td>2.2</td>
+      <td>4.666667</td>
+      <td>1.0</td>
+      <td>1.25</td>
+    </tr>
+  </tbody>
+</table>
+<p>2 rows × 31 columns</p>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[11]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">info</span><span class="p">()</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
+RangeIndex: 234 entries, 0 to 233
+Data columns (total 31 columns):
+ #   Column                 Non-Null Count  Dtype         
+---  ------                 --------------  -----         
+ 0   User                   234 non-null    object        
+ 1   TIME                   234 non-null    float64       
+ 2   date                   234 non-null    datetime64[ns]
+ 3   Allocation             228 non-null    float64       
+ 4   gender                 101 non-null    float64       
+ 5   age                    98 non-null     float64       
+ 6   education              101 non-null    object        
+ 7   ExternalSocial         214 non-null    float64       
+ 8   ExternalMaterial       214 non-null    float64       
+ 9   AutonomySat            211 non-null    float64       
+ 10  CompetenceSat          212 non-null    float64       
+ 11  RelatedSat             211 non-null    float64       
+ 12  AutonomyFrust          211 non-null    float64       
+ 13  CompetenceFrust        211 non-null    float64       
+ 14  RelatedFrust           211 non-null    float64       
+ 15  Vigor                  212 non-null    float64       
+ 16  Dedication             212 non-null    float64       
+ 17  Absorption             212 non-null    float64       
+ 18  WorkEngagement         212 non-null    float64       
+ 19  SelfControl            209 non-null    float64       
+ 20  Congruence             209 non-null    float64       
+ 21  Interest               209 non-null    float64       
+ 22  Control                209 non-null    float64       
+ 23  AutonomousFunctioning  209 non-null    float64       
+ 24  IncStructResources     183 non-null    float64       
+ 25  DecHinderDemands       183 non-null    float64       
+ 26  IncChallengeDemands    183 non-null    float64       
+ 27  IncSocialResources     183 non-null    float64       
+ 28  Resilience             183 non-null    float64       
+ 29  Optimism               183 non-null    float64       
+ 30  RAI                    214 non-null    float64       
+dtypes: datetime64[ns](1), float64(28), object(2)
+memory usage: 56.8+ KB
+</pre>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[12]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tiny_summary</span><span class="p">(</span><span class="n">df</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>====== SUMMARY =====
+- Number of columns = 31
+- Number of samples = 234 
+
+- Percentage % of missing values per feature
+User                      0.00
+TIME                      0.00
+date                      0.00
+Allocation                2.56
+gender                   56.84
+age                      58.12
+education                56.84
+ExternalSocial            8.55
+ExternalMaterial          8.55
+AutonomySat               9.83
+CompetenceSat             9.40
+RelatedSat                9.83
+AutonomyFrust             9.83
+CompetenceFrust           9.83
+RelatedFrust              9.83
+Vigor                     9.40
+Dedication                9.40
+Absorption                9.40
+WorkEngagement            9.40
+SelfControl              10.68
+Congruence               10.68
+Interest                 10.68
+Control                  10.68
+AutonomousFunctioning    10.68
+IncStructResources       21.79
+DecHinderDemands         21.79
+IncChallengeDemands      21.79
+IncSocialResources       21.79
+Resilience               21.79
+Optimism                 21.79
+RAI                       8.55
+dtype: float64
+
+- Total number of missing values = 1124
+
+- Overall percentage of missing values = 0.155 %
+=================
+</pre>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<h2 id="Count-the-amount-of-rows-per-user-and-plot">Count the amount of rows per user and plot<a class="anchor-link" href="#Count-the-amount-of-rows-per-user-and-plot">&#182;</a></h2><p>The aim of this is to assess whether there is enough data to do some of the more complext NLTSA methods</p>
+
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[13]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">row_amount_df</span> <span class="o">=</span> <span class="p">(</span><span class="n">df</span>
+<span class="o">.</span><span class="n">reset_index</span><span class="p">()</span>
+<span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s2">&quot;User&quot;</span><span class="p">)</span>
+<span class="o">.</span><span class="n">count</span><span class="p">()</span>
+<span class="o">.</span><span class="n">loc</span><span class="p">[:,</span> <span class="p">[</span><span class="s2">&quot;date&quot;</span><span class="p">]]</span>
+<span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="p">{</span><span class="s2">&quot;date&quot;</span><span class="p">:</span> <span class="s2">&quot;row_amount&quot;</span><span class="p">})</span>
+<span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s2">&quot;row_amount&quot;</span><span class="p">)</span>
+<span class="o">.</span><span class="n">reset_index</span><span class="p">())</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[14]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">row_amount_df</span><span class="o">.</span><span class="n">tail</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[14]:</div>
+
+
+
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>User</th>
+      <th>row_amount</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>111</th>
+      <td>Moti218</td>
+      <td>3</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[15]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">_</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">4</span><span class="p">))</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">barplot</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">row_amount_df</span><span class="p">,</span> <span class="n">x</span><span class="o">=</span><span class="s2">&quot;User&quot;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s2">&quot;row_amount&quot;</span><span class="p">)</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="n">rotation</span><span class="o">=</span><span class="mi">90</span><span class="p">)</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">axhline</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="s2">&quot;red&quot;</span><span class="p">,</span> <span class="n">ls</span><span class="o">=</span><span class="s2">&quot;--&quot;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">&quot;3 day cutoff&quot;</span><span class="p">)</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Row amounts per user&quot;</span><span class="p">)</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+
+
+<div class="jp-RenderedImage jp-OutputArea-output ">
+<img 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
+"
+>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<h2 id="Plot-the-heatmaps-of-the-top-5-users-with-the-highest-amount-of-rows">Plot the heatmaps of the top 5 users with the highest amount of rows<a class="anchor-link" href="#Plot-the-heatmaps-of-the-top-5-users-with-the-highest-amount-of-rows">&#182;</a></h2><p>The aim of this is to assess the amount of missingness time wise (i.e. the user could have a lot of data, spread over a long period with large gaps in the middle).</p>
+
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[16]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">scale_data</span> <span class="o">=</span> <span class="kc">True</span>
+<span class="n">plot_df</span><span class="o">=</span><span class="n">df</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s2">&quot;date&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">select_dtypes</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">number</span><span class="p">)</span>
+<span class="n">plot_df</span><span class="o">.</span><span class="n">index</span> <span class="o">=</span> <span class="n">plot_df</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">date</span>
+<span class="k">if</span> <span class="n">scale_data</span><span class="p">:</span>
+    <span class="n">plot_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">MinMaxScaler</span><span class="p">()</span><span class="o">.</span><span class="n">fit_transform</span><span class="p">(</span><span class="n">plot_df</span><span class="p">),</span> <span class="n">index</span><span class="o">=</span><span class="n">plot_df</span><span class="o">.</span><span class="n">index</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="n">plot_df</span><span class="o">.</span><span class="n">columns</span><span class="p">)</span>
+
+<span class="n">_</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">10</span><span class="p">))</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">heatmap</span><span class="p">(</span><span class="n">plot_df</span><span class="o">.</span><span class="n">T</span><span class="p">)</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Heatmap of raw values - all users&quot;</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
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
+"
+>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[17]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plot_df</span> <span class="o">=</span> <span class="p">(</span><span class="n">df</span>
+           <span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s2">&quot;User&quot;</span><span class="p">)</span>
+           <span class="o">.</span><span class="n">select_dtypes</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">number</span><span class="p">)</span>
+           <span class="o">.</span><span class="n">reset_index</span><span class="p">()</span>
+           <span class="o">.</span><span class="n">melt</span><span class="p">(</span><span class="n">id_vars</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;User&quot;</span><span class="p">,</span> <span class="s2">&quot;TIME&quot;</span><span class="p">]))</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[18]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">_</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">10</span><span class="p">))</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">lineplot</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">plot_df</span><span class="p">,</span> <span class="n">x</span><span class="o">=</span><span class="s2">&quot;TIME&quot;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s2">&quot;value&quot;</span><span class="p">,</span> <span class="n">hue</span><span class="o">=</span><span class="s2">&quot;User&quot;</span><span class="p">,</span> <span class="n">legend</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+
+
+<div class="jp-RenderedImage jp-OutputArea-output ">
+<img 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+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[19]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># _ = plt.figure(figsize=(20, 10))</span>
+<span class="c1"># _ = sns.barplot(data=plot_df, x=&quot;variable&quot;, y=&quot;value&quot;)</span>
+<span class="c1"># _ = plt.xticks(rotation=90)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[20]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">_</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">10</span><span class="p">))</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">boxplot</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">plot_df</span><span class="p">,</span> <span class="n">x</span><span class="o">=</span><span class="s2">&quot;variable&quot;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s2">&quot;value&quot;</span><span class="p">)</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="n">rotation</span><span class="o">=</span><span class="mi">90</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+
+
+<div class="jp-RenderedImage jp-OutputArea-output ">
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
+"
+>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<h3 id="Visualize-outliers">Visualize outliers<a class="anchor-link" href="#Visualize-outliers">&#182;</a></h3>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[21]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plot_bool</span> <span class="o">=</span> <span class="kc">True</span>
+<span class="n">df_RT_no_out</span><span class="p">,</span> <span class="n">O_summary</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">univariate_outlier_removal</span><span class="p">(</span><span class="n">df</span><span class="o">=</span><span class="n">df</span><span class="p">,</span> 
+                                                        <span class="n">nonparam_args</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;factor&#39;</span><span class="p">:</span> <span class="mi">3</span><span class="p">},</span>
+                                                        <span class="n">nonparam_name</span><span class="o">=</span><span class="s1">&#39;inter-quartile range, k=3&#39;</span><span class="p">,</span>
+                                                        <span class="n">remove</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="c1">#set remove to True to remove the outliers from the original data frame (as well as the returned data frame) </span>
+                                                        <span class="n">plot</span><span class="o">=</span><span class="n">plot_bool</span><span class="p">,</span>
+                                                        <span class="n">figsize</span> <span class="o">=</span> <span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">10</span><span class="p">)</span>
+                                                       <span class="p">)</span> 
+<span class="c1"># _ = plt.savefig(&quot;images/Outliers_plot.png&quot;, dpi=400, format=&quot;png&quot;, bbox_inches=&#39;tight&#39;)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+
+
+<div class="jp-RenderedImage jp-OutputArea-output ">
+<img 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
+"
+>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[22]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">O_summary</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span> <span class="o">=</span> <span class="s2">&quot;outliers-removed %&quot;</span><span class="p">,</span> <span class="n">ascending</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">5</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[22]:</div>
+
+
+
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>var</th>
+      <th>method</th>
+      <th>outliers-removed</th>
+      <th>outliers-removed %</th>
+      <th>index</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>17</th>
+      <td>Congruence</td>
+      <td>inter-quartile range, k=3</td>
+      <td>3</td>
+      <td>1.4</td>
+      <td>[18, 105, 175]</td>
+    </tr>
+    <tr>
+      <th>20</th>
+      <td>AutonomousFunctioning</td>
+      <td>standard deviation, k=3.0</td>
+      <td>2</td>
+      <td>1.0</td>
+      <td>[105, 175]</td>
+    </tr>
+    <tr>
+      <th>9</th>
+      <td>AutonomyFrust</td>
+      <td>standard deviation, k=3.0</td>
+      <td>2</td>
+      <td>0.9</td>
+      <td>[17, 226]</td>
+    </tr>
+    <tr>
+      <th>14</th>
+      <td>Absorption</td>
+      <td>inter-quartile range, k=3</td>
+      <td>1</td>
+      <td>0.5</td>
+      <td>[167]</td>
+    </tr>
+    <tr>
+      <th>15</th>
+      <td>WorkEngagement</td>
+      <td>inter-quartile range, k=3</td>
+      <td>1</td>
+      <td>0.5</td>
+      <td>[80]</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<h3 id="Check-the-normality-using-the-Kolmogrov-Smirnov-test">Check the normality using the Kolmogrov-Smirnov test<a class="anchor-link" href="#Check-the-normality-using-the-Kolmogrov-Smirnov-test">&#182;</a></h3>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[23]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># subset data frame with only numerical variables</span>
+<span class="n">X</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select_dtypes</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">number</span><span class="p">)</span>
+<span class="n">df_normal_check</span> <span class="o">=</span> <span class="n">normal_check</span><span class="p">(</span><span class="n">X</span><span class="p">)</span>
+
+<span class="c1"># data frame containing variables with Gaussian distribution</span>
+<span class="n">X_normal</span>    <span class="o">=</span> <span class="n">X</span><span class="p">[</span><span class="n">df_normal_check</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">df_normal_check</span><span class="p">[</span><span class="s1">&#39;normality&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="kc">True</span><span class="p">,</span> <span class="s1">&#39;feature&#39;</span><span class="p">]]</span>
+
+<span class="c1"># data frame containing variables with non-Gaussian distribution</span>
+<span class="n">X_nonnormal</span> <span class="o">=</span> <span class="n">X</span><span class="p">[</span><span class="n">df_normal_check</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">df_normal_check</span><span class="p">[</span><span class="s1">&#39;normality&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="kc">False</span><span class="p">,</span> <span class="s1">&#39;feature&#39;</span><span class="p">]]</span>
+
+<span class="c1"># Print Info</span>
+<span class="n">display</span><span class="p">(</span><span class="n">df_normal_check</span><span class="o">.</span><span class="n">T</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;====== Normality test based on Kolmogorov-Smirnov test =====</span><span class="se">\n</span><span class="s2">&quot;</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;- Size normally distributed feature: </span><span class="si">{</span><span class="n">X_normal</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;- Size NOT normally distributed feature: </span><span class="si">{</span><span class="n">X_nonnormal</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output " data-mime-type="text/html">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>0</th>
+      <th>1</th>
+      <th>2</th>
+      <th>3</th>
+      <th>4</th>
+      <th>5</th>
+      <th>6</th>
+      <th>7</th>
+      <th>8</th>
+      <th>9</th>
+      <th>...</th>
+      <th>18</th>
+      <th>19</th>
+      <th>20</th>
+      <th>21</th>
+      <th>22</th>
+      <th>23</th>
+      <th>24</th>
+      <th>25</th>
+      <th>26</th>
+      <th>27</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>feature</th>
+      <td>TIME</td>
+      <td>Allocation</td>
+      <td>gender</td>
+      <td>age</td>
+      <td>ExternalSocial</td>
+      <td>ExternalMaterial</td>
+      <td>AutonomySat</td>
+      <td>CompetenceSat</td>
+      <td>RelatedSat</td>
+      <td>AutonomyFrust</td>
+      <td>...</td>
+      <td>Interest</td>
+      <td>Control</td>
+      <td>AutonomousFunctioning</td>
+      <td>IncStructResources</td>
+      <td>DecHinderDemands</td>
+      <td>IncChallengeDemands</td>
+      <td>IncSocialResources</td>
+      <td>Resilience</td>
+      <td>Optimism</td>
+      <td>RAI</td>
+    </tr>
+    <tr>
+      <th>p-value</th>
+      <td>0.0</td>
+      <td>0.0</td>
+      <td>0.0</td>
+      <td>0.275094</td>
+      <td>0.103033</td>
+      <td>0.10707</td>
+      <td>0.032465</td>
+      <td>0.000052</td>
+      <td>0.000212</td>
+      <td>0.07133</td>
+      <td>...</td>
+      <td>0.046558</td>
+      <td>0.082886</td>
+      <td>0.276185</td>
+      <td>0.029861</td>
+      <td>0.435267</td>
+      <td>0.047239</td>
+      <td>0.218575</td>
+      <td>0.017274</td>
+      <td>0.000186</td>
+      <td>0.609656</td>
+    </tr>
+    <tr>
+      <th>normality</th>
+      <td>False</td>
+      <td>False</td>
+      <td>False</td>
+      <td>True</td>
+      <td>True</td>
+      <td>True</td>
+      <td>False</td>
+      <td>False</td>
+      <td>False</td>
+      <td>True</td>
+      <td>...</td>
+      <td>False</td>
+      <td>True</td>
+      <td>True</td>
+      <td>False</td>
+      <td>True</td>
+      <td>False</td>
+      <td>True</td>
+      <td>False</td>
+      <td>False</td>
+      <td>True</td>
+    </tr>
+  </tbody>
+</table>
+<p>3 rows × 28 columns</p>
+</div>
+</div>
+
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>====== Normality test based on Kolmogorov-Smirnov test =====
+
+- Size normally distributed feature: 9
+- Size NOT normally distributed feature: 19
+</pre>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[24]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">transformed_X_nonnormal</span> <span class="o">=</span> <span class="n">apply_power_transformations</span><span class="p">(</span><span class="n">X</span><span class="p">[</span><span class="n">X_nonnormal</span><span class="o">.</span><span class="n">columns</span><span class="p">])</span>
+
+<span class="n">df_transformed_normal_check</span> <span class="o">=</span> <span class="n">normal_check</span><span class="p">(</span><span class="n">transformed_X_nonnormal</span><span class="p">)</span>
+<span class="n">use_transformation</span><span class="p">,</span> <span class="n">use_nonparametric</span> <span class="o">=</span> <span class="n">find_optimal_transformation</span><span class="p">(</span><span class="n">df_transformed_normal_check</span><span class="p">,</span> <span class="n">X_nonnormal</span><span class="o">.</span><span class="n">columns</span><span class="p">)</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Normal features = </span><span class="si">{</span><span class="n">X_normal</span><span class="o">.</span><span class="n">columns</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Normal features after transformation = </span><span class="si">{</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">use_transformation</span><span class="p">)</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Non normal features after transformation = </span><span class="si">{</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">use_nonparametric</span><span class="p">)</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>Normal features = [&#39;age&#39; &#39;ExternalSocial&#39; &#39;ExternalMaterial&#39; &#39;AutonomyFrust&#39; &#39;Control&#39;
+ &#39;AutonomousFunctioning&#39; &#39;DecHinderDemands&#39; &#39;IncSocialResources&#39; &#39;RAI&#39;]
+Normal features after transformation = [&#39;box_square_AutonomySat&#39; &#39;box_square_Interest&#39;
+ &#39;box_square_IncStructResources&#39; &#39;box_square_IncChallengeDemands&#39;]
+Non normal features after transformation = [&#39;TIME&#39; &#39;Allocation&#39; &#39;gender&#39; &#39;CompetenceSat&#39; &#39;RelatedSat&#39;
+ &#39;CompetenceFrust&#39; &#39;RelatedFrust&#39; &#39;Vigor&#39; &#39;Dedication&#39; &#39;Absorption&#39;
+ &#39;WorkEngagement&#39; &#39;SelfControl&#39; &#39;Congruence&#39; &#39;Resilience&#39; &#39;Optimism&#39;]
+</pre>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[25]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">len</span><span class="p">(</span><span class="n">X_normal</span><span class="o">.</span><span class="n">columns</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">use_transformation</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">use_nonparametric</span><span class="p">),</span> <span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">X_normal</span><span class="o">.</span><span class="n">columns</span><span class="p">)</span> <span class="o">+</span> <span class="nb">len</span><span class="p">(</span><span class="n">use_transformation</span><span class="p">)</span> <span class="o">+</span> <span class="nb">len</span><span class="p">(</span><span class="n">use_nonparametric</span><span class="p">))</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[25]:</div>
+
+
+
+
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<pre>(9, 4, 15, 28)</pre>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[26]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">trans_df</span> <span class="o">=</span> <span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">X_normal</span><span class="p">,</span> 
+         <span class="n">transformed_X_nonnormal</span><span class="p">[</span><span class="n">use_transformation</span> <span class="o">+</span> <span class="n">use_nonparametric</span><span class="p">],</span> 
+         <span class="n">left_index</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> 
+         <span class="n">right_index</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">df</span><span class="p">[[</span><span class="s2">&quot;date&quot;</span><span class="p">]],</span> <span class="n">left_index</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">right_index</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+           <span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[27]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">trans_df</span><span class="p">[</span><span class="s2">&quot;gender&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[27]:</div>
+
+
+
+
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<pre>0.0    75
+1.0    23
+3.0     3
+Name: gender, dtype: int64</pre>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[28]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">trans_df</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="n">df</span><span class="p">[</span><span class="s2">&quot;gender&quot;</span><span class="p">]</span> <span class="o">!=</span> <span class="mi">3</span><span class="p">]</span>
+<span class="c1"># df[&quot;gender&quot;] = df.gender.astype(int)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[29]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">trans_df</span><span class="p">[</span><span class="s2">&quot;gender&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[29]:</div>
+
+
+
+
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<pre>0.0    75
+1.0    23
+Name: gender, dtype: int64</pre>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[30]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plot_densities</span> <span class="o">=</span> <span class="kc">True</span>
+<span class="k">if</span> <span class="n">plot_densities</span><span class="p">:</span>
+    <span class="c1"># Consider only float features</span>
+    <span class="n">features_list</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">select_dtypes</span><span class="p">(</span><span class="nb">float</span><span class="p">)</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s2">&quot;gender&quot;</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">columns</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
+    <span class="c1"># Consider the interested group to analyze</span>
+    <span class="n">grouping_var</span> <span class="o">=</span> <span class="s2">&quot;gender&quot;</span>
+
+    <span class="c1"># Plot</span>
+    <span class="n">set_plot_limits</span><span class="o">=</span><span class="kc">False</span>
+    <span class="n">fig</span><span class="p">,</span> <span class="n">axs</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span><span class="mi">75</span><span class="p">),</span> <span class="n">nrows</span><span class="o">=</span><span class="nb">len</span><span class="p">(</span><span class="n">features_list</span><span class="p">),</span> <span class="n">ncols</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">gridspec_kw</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;width_ratios&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">]})</span>
+    <span class="n">fig</span><span class="o">.</span><span class="n">subplots_adjust</span><span class="p">(</span><span class="n">hspace</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">,</span> <span class="n">wspace</span><span class="o">=</span><span class="mf">0.2</span><span class="p">)</span>
+    <span class="n">axs</span> <span class="o">=</span> <span class="n">axs</span><span class="o">.</span><span class="n">ravel</span><span class="p">()</span>
+
+    <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">features_list</span><span class="p">)</span><span class="o">*</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">):</span>
+        <span class="k">try</span><span class="p">:</span>
+            <span class="n">_</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">histplot</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">trans_df</span><span class="p">,</span> <span class="n">x</span><span class="o">=</span><span class="n">features_list</span><span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">i</span><span class="o">/</span><span class="mi">2</span><span class="p">)],</span> <span class="n">hue</span><span class="o">=</span><span class="n">grouping_var</span><span class="p">,</span> <span class="n">kde</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">axs</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
+            <span class="n">_</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">boxplot</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">trans_df</span><span class="p">,</span> <span class="n">x</span><span class="o">=</span><span class="n">grouping_var</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="n">features_list</span><span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">i</span><span class="o">/</span><span class="mi">2</span><span class="p">)],</span> <span class="n">ax</span><span class="o">=</span><span class="n">axs</span><span class="p">[</span><span class="n">i</span><span class="o">+</span><span class="mi">1</span><span class="p">])</span>
+            <span class="n">_</span> <span class="o">=</span> <span class="n">axs</span><span class="p">[</span><span class="n">i</span><span class="o">+</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">axes</span><span class="o">.</span><span class="n">get_yaxis</span><span class="p">()</span><span class="o">.</span><span class="n">get_label</span><span class="p">()</span><span class="o">.</span><span class="n">set_visible</span><span class="p">(</span><span class="kc">False</span><span class="p">)</span>
+        <span class="k">except</span><span class="p">:</span>
+            <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">features_list</span><span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">i</span><span class="o">/</span><span class="mi">2</span><span class="p">)]</span><span class="si">}</span><span class="s2"> - this had an error&quot;</span><span class="p">)</span>
+
+    <span class="c1"># _ = plt.savefig(f&quot;images/density_boxplots_all_fitbit_features_{grouping_var}.png&quot;, dpi=400, format=&quot;png&quot;, bbox_inches=&#39;tight&#39;)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+
+
+<div class="jp-RenderedImage jp-OutputArea-output ">
+<img 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+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[31]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">transformed_fitbit_cols</span> <span class="o">=</span> <span class="n">X_normal</span><span class="o">.</span><span class="n">columns</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span> <span class="o">+</span> <span class="n">use_transformation</span> <span class="o">+</span> <span class="n">use_nonparametric</span>
+<span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">transformed_fitbit_cols</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[31]:</div>
+
+
+
+
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<pre>array([&#39;age&#39;, &#39;ExternalSocial&#39;, &#39;ExternalMaterial&#39;, &#39;AutonomyFrust&#39;,
+       &#39;Control&#39;, &#39;AutonomousFunctioning&#39;, &#39;DecHinderDemands&#39;,
+       &#39;IncSocialResources&#39;, &#39;RAI&#39;, &#39;box_square_AutonomySat&#39;,
+       &#39;box_square_Interest&#39;, &#39;box_square_IncStructResources&#39;,
+       &#39;box_square_IncChallengeDemands&#39;, &#39;TIME&#39;, &#39;Allocation&#39;, &#39;gender&#39;,
+       &#39;CompetenceSat&#39;, &#39;RelatedSat&#39;, &#39;CompetenceFrust&#39;, &#39;RelatedFrust&#39;,
+       &#39;Vigor&#39;, &#39;Dedication&#39;, &#39;Absorption&#39;, &#39;WorkEngagement&#39;,
+       &#39;SelfControl&#39;, &#39;Congruence&#39;, &#39;Resilience&#39;, &#39;Optimism&#39;],
+      dtype=&#39;&lt;U30&#39;)</pre>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[32]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">corr_out</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">correlation_analysis</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">trans_df</span><span class="p">,</span>
+<span class="c1">#                     col_list=[&quot;RAI&quot;, &quot;Optimism&quot;],</span>
+<span class="c1">#                     row_list = transformed_fitbit_cols,</span>
+                                  <span class="n">check_norm</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">corrs</span> <span class="o">=</span> <span class="n">corr_out</span><span class="p">[</span><span class="s2">&quot;summary&quot;</span><span class="p">]</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
+<pre>/opt/miniconda3/envs/general/lib/python3.9/site-packages/scipy/stats/stats.py:4196: SpearmanRConstantInputWarning: An input array is constant; the correlation coefficent is not defined.
+  warnings.warn(SpearmanRConstantInputWarning())
+/opt/miniconda3/envs/general/lib/python3.9/site-packages/scipy/stats/stats.py:4196: SpearmanRConstantInputWarning: An input array is constant; the correlation coefficent is not defined.
+  warnings.warn(SpearmanRConstantInputWarning())
+</pre>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[33]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">corrs</span><span class="p">[</span><span class="n">corrs</span><span class="p">[</span><span class="s2">&quot;feature2&quot;</span><span class="p">]</span> <span class="o">==</span> <span class="s2">&quot;RAI&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s2">&quot;p-value&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">20</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[33]:</div>
+
+
+
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>analysis</th>
+      <th>feature1</th>
+      <th>feature2</th>
+      <th>r-value</th>
+      <th>p-value</th>
+      <th>stat-sign</th>
+      <th>N</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>286</th>
+      <td>Spearman Rank</td>
+      <td>Dedication</td>
+      <td>RAI</td>
+      <td>0.693083</td>
+      <td>2.148071e-31</td>
+      <td>True</td>
+      <td>210</td>
+    </tr>
+    <tr>
+      <th>167</th>
+      <td>Spearman Rank</td>
+      <td>AutonomySat</td>
+      <td>RAI</td>
+      <td>0.676722</td>
+      <td>2.418086e-29</td>
+      <td>True</td>
+      <td>209</td>
+    </tr>
+    <tr>
+      <th>187</th>
+      <td>Spearman Rank</td>
+      <td>CompetenceSat</td>
+      <td>RAI</td>
+      <td>0.628806</td>
+      <td>1.635579e-24</td>
+      <td>True</td>
+      <td>210</td>
+    </tr>
+    <tr>
+      <th>311</th>
+      <td>Spearman Rank</td>
+      <td>WorkEngagement</td>
+      <td>RAI</td>
+      <td>0.625542</td>
+      <td>3.316445e-24</td>
+      <td>True</td>
+      <td>210</td>
+    </tr>
+    <tr>
+      <th>224</th>
+      <td>Pearson</td>
+      <td>AutonomyFrust</td>
+      <td>RAI</td>
+      <td>-0.619377</td>
+      <td>1.573851e-23</td>
+      <td>True</td>
+      <td>209</td>
+    </tr>
+    <tr>
+      <th>272</th>
+      <td>Spearman Rank</td>
+      <td>Vigor</td>
+      <td>RAI</td>
+      <td>0.571688</td>
+      <td>1.277075e-19</td>
+      <td>True</td>
+      <td>210</td>
+    </tr>
+    <tr>
+      <th>241</th>
+      <td>Spearman Rank</td>
+      <td>CompetenceFrust</td>
+      <td>RAI</td>
+      <td>-0.514979</td>
+      <td>1.494000e-15</td>
+      <td>True</td>
+      <td>209</td>
+    </tr>
+    <tr>
+      <th>349</th>
+      <td>Pearson</td>
+      <td>Control</td>
+      <td>RAI</td>
+      <td>-0.496807</td>
+      <td>2.663397e-14</td>
+      <td>True</td>
+      <td>207</td>
+    </tr>
+    <tr>
+      <th>362</th>
+      <td>Spearman Rank</td>
+      <td>IncStructResources</td>
+      <td>RAI</td>
+      <td>0.526186</td>
+      <td>2.802045e-14</td>
+      <td>True</td>
+      <td>181</td>
+    </tr>
+    <tr>
+      <th>377</th>
+      <td>Spearman Rank</td>
+      <td>Optimism</td>
+      <td>RAI</td>
+      <td>0.518632</td>
+      <td>7.506659e-14</td>
+      <td>True</td>
+      <td>181</td>
+    </tr>
+    <tr>
+      <th>371</th>
+      <td>Pearson</td>
+      <td>IncChallengeDemands</td>
+      <td>RAI</td>
+      <td>0.497916</td>
+      <td>9.916126e-13</td>
+      <td>True</td>
+      <td>181</td>
+    </tr>
+    <tr>
+      <th>322</th>
+      <td>Spearman Rank</td>
+      <td>SelfControl</td>
+      <td>RAI</td>
+      <td>0.452299</td>
+      <td>7.829674e-12</td>
+      <td>True</td>
+      <td>207</td>
+    </tr>
+    <tr>
+      <th>299</th>
+      <td>Spearman Rank</td>
+      <td>Absorption</td>
+      <td>RAI</td>
+      <td>0.411519</td>
+      <td>5.469874e-10</td>
+      <td>True</td>
+      <td>210</td>
+    </tr>
+    <tr>
+      <th>124</th>
+      <td>Pearson</td>
+      <td>ExternalSocial</td>
+      <td>RAI</td>
+      <td>-0.378030</td>
+      <td>1.315857e-08</td>
+      <td>True</td>
+      <td>212</td>
+    </tr>
+    <tr>
+      <th>332</th>
+      <td>Spearman Rank</td>
+      <td>Congruence</td>
+      <td>RAI</td>
+      <td>0.374809</td>
+      <td>2.635422e-08</td>
+      <td>True</td>
+      <td>207</td>
+    </tr>
+    <tr>
+      <th>367</th>
+      <td>Pearson</td>
+      <td>DecHinderDemands</td>
+      <td>RAI</td>
+      <td>-0.393722</td>
+      <td>4.172293e-08</td>
+      <td>True</td>
+      <td>181</td>
+    </tr>
+    <tr>
+      <th>206</th>
+      <td>Spearman Rank</td>
+      <td>RelatedSat</td>
+      <td>RAI</td>
+      <td>0.354944</td>
+      <td>1.339931e-07</td>
+      <td>True</td>
+      <td>209</td>
+    </tr>
+    <tr>
+      <th>356</th>
+      <td>Pearson</td>
+      <td>AutonomousFunctioning</td>
+      <td>RAI</td>
+      <td>0.313403</td>
+      <td>4.262429e-06</td>
+      <td>True</td>
+      <td>207</td>
+    </tr>
+    <tr>
+      <th>146</th>
+      <td>Pearson</td>
+      <td>ExternalMaterial</td>
+      <td>RAI</td>
+      <td>-0.296031</td>
+      <td>1.168136e-05</td>
+      <td>True</td>
+      <td>212</td>
+    </tr>
+    <tr>
+      <th>257</th>
+      <td>Spearman Rank</td>
+      <td>RelatedFrust</td>
+      <td>RAI</td>
+      <td>-0.297875</td>
+      <td>1.184926e-05</td>
+      <td>True</td>
+      <td>209</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[34]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span> <span class="o">=</span> <span class="n">plot_correlogram</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">trans_df</span><span class="p">,</span>
+<span class="c1">#                     col_list=transformed_fitbit_cols,</span>
+<span class="c1">#                     row_list = [&quot;RAI&quot;],</span>
+                                  <span class="n">check_norm</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                    <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">10</span><span class="p">),</span>
+                         <span class="n">font_scale</span><span class="o">=</span><span class="mf">0.7</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
+<pre>/opt/miniconda3/envs/general/lib/python3.9/site-packages/scipy/stats/stats.py:4196: SpearmanRConstantInputWarning: An input array is constant; the correlation coefficent is not defined.
+  warnings.warn(SpearmanRConstantInputWarning())
+/opt/miniconda3/envs/general/lib/python3.9/site-packages/scipy/stats/stats.py:4196: SpearmanRConstantInputWarning: An input array is constant; the correlation coefficent is not defined.
+  warnings.warn(SpearmanRConstantInputWarning())
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+
+
+<div class="jp-RenderedImage jp-OutputArea-output ">
+<img 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
+"
+>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[35]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">top_feature1</span> <span class="o">=</span> <span class="n">corrs</span><span class="p">[</span><span class="n">corrs</span><span class="p">[</span><span class="s2">&quot;feature2&quot;</span><span class="p">]</span> <span class="o">==</span> <span class="s2">&quot;RAI&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s2">&quot;r-value&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">feature1</span><span class="o">.</span><span class="n">tolist</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span>
+<span class="n">top_feature2</span> <span class="o">=</span> <span class="n">corrs</span><span class="p">[</span><span class="n">corrs</span><span class="p">[</span><span class="s2">&quot;feature2&quot;</span><span class="p">]</span> <span class="o">==</span> <span class="s2">&quot;RAI&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s2">&quot;r-value&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">feature2</span><span class="o">.</span><span class="n">tolist</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[36]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">_</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">regplot</span><span class="p">(</span><span class="n">x</span> <span class="o">=</span> <span class="n">top_feature2</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">top_feature1</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">trans_df</span><span class="p">)</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">top_feature1</span><span class="si">}</span><span class="s1"> vs </span><span class="si">{</span><span class="n">top_feature2</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">&quot;_&quot;</span><span class="p">,</span> <span class="s2">&quot; &quot;</span><span class="p">)</span><span class="o">.</span><span class="n">title</span><span class="p">()</span><span class="si">}</span><span class="s1"> regression plot&#39;</span><span class="p">)</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">despine</span><span class="p">()</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+
+
+<div class="jp-RenderedImage jp-OutputArea-output ">
+<img 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
+"
+>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[37]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">top_feature1</span> <span class="o">=</span> <span class="n">corrs</span><span class="p">[</span><span class="n">corrs</span><span class="p">[</span><span class="s2">&quot;feature2&quot;</span><span class="p">]</span> <span class="o">==</span> <span class="s2">&quot;RAI&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s2">&quot;r-value&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">tail</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">feature1</span><span class="o">.</span><span class="n">tolist</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span>
+<span class="n">top_feature2</span> <span class="o">=</span> <span class="n">corrs</span><span class="p">[</span><span class="n">corrs</span><span class="p">[</span><span class="s2">&quot;feature2&quot;</span><span class="p">]</span> <span class="o">==</span> <span class="s2">&quot;RAI&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s2">&quot;r-value&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">tail</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">feature2</span><span class="o">.</span><span class="n">tolist</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[38]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">_</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">regplot</span><span class="p">(</span><span class="n">x</span> <span class="o">=</span> <span class="n">top_feature2</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">top_feature1</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">trans_df</span><span class="p">)</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">top_feature1</span><span class="si">}</span><span class="s1"> vs </span><span class="si">{</span><span class="n">top_feature2</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">&quot;_&quot;</span><span class="p">,</span> <span class="s2">&quot; &quot;</span><span class="p">)</span><span class="o">.</span><span class="n">title</span><span class="p">()</span><span class="si">}</span><span class="s1"> regression plot&#39;</span><span class="p">)</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">despine</span><span class="p">()</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+
+
+<div class="jp-RenderedImage jp-OutputArea-output ">
+<img 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
+"
+>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<h3 id="Run-the-correlations-as-sample-size-increases-for-the-highest-correlations">Run the correlations as sample size increases for the highest correlations<a class="anchor-link" href="#Run-the-correlations-as-sample-size-increases-for-the-highest-correlations">&#182;</a></h3>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[39]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">amount_top_correlations</span> <span class="o">=</span> <span class="mi">2</span>
+<span class="n">top_corrs_sorted</span> <span class="o">=</span> <span class="n">corrs</span><span class="p">[</span><span class="n">corrs</span><span class="p">[</span><span class="s2">&quot;feature2&quot;</span><span class="p">]</span> <span class="o">==</span> <span class="s2">&quot;RAI&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s2">&quot;r-value&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="n">amount_top_correlations</span><span class="p">)</span>
+<span class="n">top_corrs_sorted_descending</span> <span class="o">=</span> <span class="n">corrs</span><span class="p">[</span><span class="n">corrs</span><span class="p">[</span><span class="s2">&quot;feature2&quot;</span><span class="p">]</span> <span class="o">==</span> <span class="s2">&quot;RAI&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s2">&quot;r-value&quot;</span><span class="p">,</span> <span class="n">ascending</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="n">amount_top_correlations</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[40]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">top_corrs_zip</span> <span class="o">=</span> <span class="nb">zip</span><span class="p">(</span><span class="n">top_corrs_sorted</span><span class="o">.</span><span class="n">analysis</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span> <span class="o">+</span> <span class="n">top_corrs_sorted_descending</span><span class="o">.</span><span class="n">analysis</span><span class="o">.</span><span class="n">tolist</span><span class="p">(),</span>
+                    <span class="n">top_corrs_sorted</span><span class="o">.</span><span class="n">feature1</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span> <span class="o">+</span> <span class="n">top_corrs_sorted_descending</span><span class="o">.</span><span class="n">feature1</span><span class="o">.</span><span class="n">tolist</span><span class="p">(),</span>
+                    <span class="n">top_corrs_sorted</span><span class="o">.</span><span class="n">feature2</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span> <span class="o">+</span> <span class="n">top_corrs_sorted_descending</span><span class="o">.</span><span class="n">feature2</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
+                   <span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[41]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># # Take all of the features from the feature2 column of the above data frame and show how the </span>
+<span class="c1"># # r-value and p-value changes as N increases when correlating them with petal_width</span>
+<span class="c1"># # for feature in dict_results[&quot;summary&quot;].feature2.tolist():</span>
+<span class="c1"># for cor_type, feat_1, feat_2 in top_corrs_zip:</span>
+<span class="c1">#     summary, fig = correlations_as_sample_increases(data = trans_df, </span>
+<span class="c1">#                                                     feature1=feat_1, </span>
+<span class="c1">#                                                     feature2=feat_2, </span>
+<span class="c1">#                                                     method=cor_type.split(&quot; &quot;)[0].lower(),</span>
+<span class="c1">#                                                     bootstrap = False,</span>
+<span class="c1">#                                                     bootstrap_per_N = 20,</span>
+<span class="c1">#                                                     starting_N=20, </span>
+<span class="c1">#                                                     random_state=42069, </span>
+<span class="c1">#                                                     plot=True)</span>
+    
+<span class="c1"># #     fig.savefig(f&quot;Images/{feat_1}_{feat_2}_correlation_as_sample_increases.png&quot;, dpi=400, format=&quot;png&quot;, bbox_inches = &quot;tight&quot;)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[42]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">hue_column</span> <span class="o">=</span> <span class="s2">&quot;gender&quot;</span>
+<span class="n">hue_column</span> <span class="o">=</span> <span class="kc">None</span>
+<span class="c1"># POM</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span><span class="mi">4</span><span class="p">))</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">boxplot</span><span class="p">(</span><span class="n">x</span> <span class="o">=</span> <span class="s2">&quot;TIME&quot;</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">top_feature1</span><span class="p">,</span> <span class="n">hue</span><span class="o">=</span><span class="n">hue_column</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">trans_df</span><span class="p">)</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">stripplot</span><span class="p">(</span><span class="n">x</span> <span class="o">=</span> <span class="s2">&quot;TIME&quot;</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">top_feature1</span><span class="p">,</span> <span class="n">hue</span><span class="o">=</span><span class="n">hue_column</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">trans_df</span><span class="p">,</span> <span class="n">dodge</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> 
+                  <span class="n">edgecolor</span><span class="o">=</span><span class="s2">&quot;white&quot;</span><span class="p">)</span>
+<span class="c1"># _ = plt.legend(loc=&quot;lower center&quot;, ncol=6)</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">despine</span><span class="p">()</span>
+
+<span class="c1"># Fitbit feature</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span><span class="mi">4</span><span class="p">))</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">boxplot</span><span class="p">(</span><span class="n">x</span> <span class="o">=</span> <span class="s2">&quot;TIME&quot;</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">top_feature2</span><span class="p">,</span> <span class="n">hue</span><span class="o">=</span><span class="n">hue_column</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">trans_df</span><span class="p">)</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">stripplot</span><span class="p">(</span><span class="n">x</span> <span class="o">=</span> <span class="s2">&quot;TIME&quot;</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">top_feature2</span><span class="p">,</span> <span class="n">hue</span><span class="o">=</span><span class="n">hue_column</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">trans_df</span><span class="p">,</span> <span class="n">dodge</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s2">&quot;white&quot;</span><span class="p">)</span>
+<span class="c1"># _ = plt.legend(loc=&quot;lower center&quot;, ncol=6)</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">despine</span><span class="p">()</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+
+
+<div class="jp-RenderedImage jp-OutputArea-output ">
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h5/kOyV28letZOw0TwT0QrRFM4Bk4gZcAZhbzV1K98jVFlwVPvHjrmM+NGXgclE3bpsTBYb1uRMfPmrcK+bE5nJXYgW1Dm+MxcNu4hBnQZhwsS64nV8vP5jyt1HP+3NyK4jufWUW4m1x7Jk5xKe//75ZohYHEhGrtqIUb0zeP72c3AFLKwu8XHK4O5gdTBpZD+evPEslILEGDuzZ51PWloq2ytD3HT2SEKWGFYU+fj1padw5uh+vJVTzDaXj5unjuR/91/EHdPG4vIY/Gd5EYN6deXlO6Zhs0ROi5+fNYJ7Lz6Zj9eVs2J3LT+ZMIjqsJX3VpfQKSWBm84ezcNXn97Kr4zoyBIn/YLUM+8ktuQH4nUNnW98A2vGgCbvn3LeA6RMuAHbmtnYdi8medLtJCanEFvwDcmjziP9sr81Y/RCHKxHcg9euOIFlFMxt3AuyfHJjO09lpeufIkuCV2Oqq/T+5zO4xc+zsqKlbyz7R0mD5zMM5c900yRi33JyFUb8fOzR/LwnM18tDoyceL8TWV8fOcETvnLV3x856lk9enM4O6pfL+zgl+/v47HrxjJP7/axgvf7uDk3inscQf4yXPfY2h4e/lunrp6NFMGZ7C2oJqbZkdKDr2zfDfv3DKes0b0ZN6aXVw3aSjTn15E3h4P/7p6NI99sYVXl+QB8Pm6YhbcO4kRvTLo3yWZbcWVrfXSiA7K5Egg4aSrUE+NBs+eSA2KujISJ9yA68PfHnl/ZyKxI6ajnhwOnj0w8X7U+vfhk5mR7avfxP6LFdi6DCFQLMUlRMu4Zsw1vLHpDV5e/zIA2Tuz+fzSz/kk9xOuHHUlT377ZJP7uvXUW/nX6n/x+sbXAfgy70vmXj6X7ond2V29+wh7i+MhI1dtRGZqPGsKqhqW8ys8GFoT77SyrrCazNR4uqclsGZ3pLRHz5QY1uyOtO+ZGsu6wmr2vXq3Or8Stz/MmoL9i9Dm7KokMzWeBKcNgLw9kdnge6TGsHr33uO76gK46vzs2uMhMzU++k9YiCMwJ3RG15ZGEqN6qnAF1pTuTds/vlNk3x/3T+kNBcv3NggHoWQdluSm9SdENHRL7MaGPRsalmsCNRTWFVLmLaNbUrej6ivOHsd61956r5X+Svb49jAwY2DU4hWNk+SqjVi1s5TLx+z9xZo8MIMaXwhtaCYNzGBVXhmrdpRy8aiuWM2K5XkVXD42E4DleRVMHphBWlwkYbKZTVw0qhuJTivThnUm3h4ZwIy1mblgRBdW7yijos6H2x/krMEZDX1cOW7vh8zYnsnEO6wM7pLAunwpfyNaXnDPTnCmQObeIhB61E/x7lp5mL0O2N+RBN3GRlbs+h5GXxcp1gyQ0A3V6zT8BaujG7gQh7GmcA0X9b2oYXlQyiC6xHZhdMZo1hSuOaq+iquKuaT/JQ3Lw9KGkepI5ftd30ctXtE4uSzYRvw7eyXP3jqVU/um4gsZjOqezJrdlcy7ZyL//W4jeWXV7HbVMHFodxbccwabSqo5pW86I7snssvlxmJSLLxvEsvzKhnaNQG7xcR3mwrI6teF7349mZX5lYzunsy8NTtZvr0EgAffXsRT15/JhqJqEhxWMpNjGNcrhbJaHyMzkzC05l/ZK3HVeFv51REdUjjInjkPkvrT9yH/B0joSlibqPnPrU3e3/XZI6TNmBMZsYrvDPFdYNYqdNFq6HU61d88R7hGaq2JlvPWqrd4/KLH+ejCjyj3lTMybSRVviqSzEm8t+a9I3ewjz99+SdevvplPr34U4rdxYzJGMM7q9/BHXA3U/TiR5JctRHlNV6ufPwTTurXBafdwku1PjolxbA+30VhRR0AYUPzmze+YXBmKj3S4nn64+/pmhJHcqyDv/7vW2IdVqaO6sWGHfDl6jyKKuvISIxhyoieOG0Wnp3zAztK914mXJZbwrSH3+WKCQOJtVl5f+kWMlMTGN4jjfkrt/L9liJKm1BEWojm4t36DUX/mo6j93jCnkr8ecuBpn971bshm8Id3xN30jUoNlG77L9YkrthSe6Of+7ThGtKmi94IRrhDri5/d3bGdl1JD2Se7BQL2RX5S7WFq896r5K6kq44MULuGLUFWTEZfDk/CcpqD66b9OKYyPJVRsSNjTfby06YrtNBXvYVBC5j6Socu9fKFUeP68uWL9f27JqD29+t+mQfbn9wf32Ka70sDxXPnDEicPwVuPZ+OVx7F9FzTf/blgOeCsJFK0/zB5CNC+NZnXRalYXrT7uvgwM3l799vEHJY6K3HMlhBBCCBFFklwJIYQQQkSRJFdCCCGEEFEkyZUQQgghRBRJciWEEEIIEUWSXAkhhBBCRJFMxdAOOKxmbjtnFCN6puPxB9lUsAdDQyAU5tuNBXRJjmVwZirbiiv5bmMBpwzsyrAeaThtFtz+ICt3lFFW5Wby8B74AmG+XL2TTkmxTBjUjYo6L3NX51HnCx50XIvZxKUn9+eMod0pqXLz8vy1+039IEQ0KIuduHFX4+w7AR0OEnTtwL97Nd4tX4MOA+Docwr27qMJeypRVicAno1fEq4qbLRPe69xOHpmEaosxLPxS3TIv//2nlk4eo0jVFsOKCzxafh2LsOfv6JZn6sQ+zKbzFw89GIm9p1IcU0xryx9hTJ32XH1GWeL4+wBZ5PkTGJJ3hK2lm8l3h7PlAFTiHfEs2TnEra5tkXpGXRcMnLVxsU5rHz828sY0L0zi3bW0KNTCj+ZMJiundKxxSTy/O3ncM+FJ+MzObnmjBF8+JtLuWnKGDw4GdW3G2eO7MsfrpjAqzPPJyY+iR5dO/H+ry7myRvPRNnjGNW/B2/dcyEZiTH7HddmMTF71vlMGzeQ5bvdDO/dhTfvvoBx/Tq30ish2iNli6XLbR+SNPEW7K71ONwFxI++hNQzbqbTNc+AyULq9D+Sds69JKg6kodPIWncFSQlJdLl5//F0ffUg/pMPudXpJ//fyQoD8lDJ9P5pv+g7HF7t0+5l/QL/kCC8pAydDIpk+8gwRom/cIHSTrr7pZ8+qIDs5gsvHjFi5w34jxWVKxgSLchzP7pbIZ1HnbMfXaK78Tsa2YzrOcwzLFmHr3gUW46+SZmXzObQd0HYY2z8thFj3HxsIuj90Q6qHY3clVQUIDJU41j45zWDqVFzLr9JlbkV3LrG5F6as8u3M63v5rM37/cwg6Xm7eW7+bd207hma+3szK/ij9MH8LF/15CyNA8MX8r7912KinpsVz78lLW1hdxXltQzTlDO/PXL7YA8NtzB3DjqASefPZ/Dcc9f8pkav0GP3n+BwD+9XUu8+45g99eOIprfv6LFn4VmpfJs4eCglBrh7GfgoIC3LVmHsmJO3LjNmzqxVdzmSMW9eZPIL++Htroa1HDLkdb4lnW7UYu6HUKpmezIOiBBY/A1W9D6QbU5s8wT3qUR965rqG/zt168sDgczA9Mwb8tSggdOmrLMu4hi8//C/pXTL547Dpke2++moFl74AngrUCxNx3LmK5177DFfpkSfzbWt21ZqJLZDZu08Uk/tNJqiCXPPpNWg0z619jg8v/JD7Jt/H9W9df0x9Xpd1HZ/s+ISnVz8NwNtb3ub9C97n9Y2v89za5wB4d+u7vHXeW3y55Uu8QSltdqxk5KqN69uvL/M27h0mrvOHWLGrgkFd4gHYXl6H2x+iS6KDgZ3i+XpzGSEjUh7E0PDdtnLsFlNDYgWwcGs5fTL2fmgv3LaHPn1673/c3r2Yu89x/SGDxbkuundKb5bnKTqmfv0HoKyOvYkVQO586DwMx8759Bs8Er1rSSSx2nd7p2Gw/StSuvZBmfa+zXXr1Zdwfg74axvW2XbMo2/fvpHtPfsS3r1ib2K1z/HwVRMqWEm3nn2a7fkK8aMB6QNYkL8AXV/OKWSEWFK0hB5JPY65z35p/VhctLhhudhdTNAI7rdud+1uKnwVdI6XqxDHo92NXGVmZlLqt+AbMr21Q2kRG8sCnDe8C++tiPzFmeC0MK5XCo98FilpM6hzPDE2M0VVPjaV1HLNyT149IstBMIGZpNi0sAMfMEwY3sms2JXJQBTBncit3Tvh8+UwRlscvn3e003eOO55NTOvLRoB1qD02pmYv808spr2t1r79g4h8zME+uNJjMzE1+omAey6lo7lGYV716NDo5D9Z4IO7+NrBwwDYrXYPQ/hx7r5mI79TqwxUGgDpSCAefC5s9gwLmEyrbwf2NqGvqzxK7G3vtucCSBrwoAY8B59Ny9ngey6jDHrcbe61fgTAZv5T7HWw0xKTh6ZnFx/GNc0A5f90dy4nBkZrZ2GKLe5rLNXDPuGl5e/zKGNrCZbJyeeTp5FXnH3OfWsq2ckXkGK8siVzq6x3fHarIyKXMS61zrAOid2JtkRzJFNe1vdLYltbvkqqN5du5q3r3vYj75xQRW7qrkvBFdMJkUf7pwKIWVXi4c1ZVaX5D7zhnAaX1TMSvNnJkT+G6bi0mDMtBaEw4bvHbDOD5dU0S8w8LE/umEtebBCwbTPTmG/hmx3PzvL/Y77tzVefzk1EF8+cuJfLutnHOHdSbOYeGPb33bSq+EaI/qVn1AXNaVWK5+GzZ+Ekmi+kxE15YRqCigbvlb2FIyibltEWrLZ9B7EjiT0G4XDDiHivfu26+/UEU+das/Ju62RahNn6C7jCZsjafuk0cACFcVUrfiXeJuW4za+BF0PxmSe4FnD/rWRdQuf5twdXFLvwyiA1q4fSFXjLqCDy/8kEWFizizx5kk2BJ48PMHj7nP13Ne59+X/5veCb0p9hRzTs9zeHPFm1w0/CL6JfWj1FPKub3O5ZlFz+A/4Ese4ugorZteQb65ZWVl6ZycnOPqY9asWazYXtLuRk8Ox2I2cePkYYzqk0GdN8jmwgpChoFhaL7dtJsuSXEN3xb8YWsRWX07M7R7Kg6bBY8vyKq8MsqqPUwe1gNfMMT8NbtIT4jh1PpvC361Nh9f8OB7jswmxbTRvZk8vAfFlW5eW7AeV237u0bv2DiHsX0789RTT7V2KA1mzZqFL295ux+5AsBkIXbUJTj7T0SHfIT25OEvWItv+2LQBgD2HmOwdx9NqM6FyRYLCryb5hOubfybVbZuI7D3zCJUWYB3ywIw9j+/bV2HYe91EuGaUkBjTuiMP28pgaINzf1sW80jOXE4eo074c7zVYWrMCYZrR1KqzApE+cMPIdJ/SZRVF3E7JzZVHmrjqtPp9XJpL6TSHYmsyRvCXmVecRYY5jUbxKJjkQW5y0mvzI/Ok/gBGRaaGJ0t9HRPM9VYytl5KodCIUNXpi/9pDb88trWbpt71/bS7cV77f8o/9+t6nhcY03wPbSqsMeN2xo5qzYwZwVO44+aCGaygjhXvku7pXvHrKJP38l/vyVTe4yULiWQOGhf2cCResJFK0/qjCFiDZDG2RvziZ7c3bU+vQGvQf15wl6+HzT51E7hpAb2oUQQgghokqSKyGEEEKIKJLkSgghhBAiiiS5EkIIIYSIIkmuhBBCCCGiSJIrIYQQQogoatapGJRSeUAtEAZCWuus5jxee2cxm5gwqBtxDiuLNxdS5T70JG+DM1MZ0CWZzUV7SIlz0q9LEqf070bQCDN/zS6SYu1oDVuLK1meW8yRpjsbP6ALU0f2YktRJet2lTOgawoWs8IfDLM8t4SSKneUn63osMw2nP1PR1md+LZ9iyWlB9aM/gSKNxAs3bpfU2uXIdi7j8ZkjyW4ZxdKmQEDf/FGHJmjCHsq8W1fAjqMKaETCadcD4ZB9eKX0J7K/fvqNBDHgMnYOw8kULaNmsUvY+s0EGt6XwJF6wmWbWu510CIeknOJMb3HE+dv44fdv1AqH5ONpMykZWZRVpcGjHWGPqn9ydndw7zts4DoHdKb4Z0GkKlp5IRXUdgt9iZs2kOPZJ6YDFZ2FS6ieFdhuMJerCarPRP709JTQmLdi6i3F3emk+5XWiJea4ma61dLXCcdi09wclzt51DWW0AV12Aey8cxx/eWsSizYUHtf3DFacypm8XVuVXctcF4yip9rKrwsOwnmkUV/v49SWdMYDF21ycP24Abq+PX7w4v9GJQgGeuukshvZI57ttLmZM7o7TZmbxdhcn9UphT52fu6Zn8dTnK/h4WW4zvwqivTMnZdL5Zy+iKrZHCiuf+2u0vxbyFsGk23BvWkDll48CkDr9jzgHnIGyOiO1BweeDkk90TWFqNQ+6K1zISGT8FmzqF31EclnzoSStRDwED/rC1wfPYB3c+SDKOXc3xAzfDrKYoXcBTgHn0Hi+J+ifdWwcxFMuh33hi+pnPd4a748ooM5pdcp/H7K71lavJQURwp3nnYnMz+YiSfg4YmLn8BkNlHiLeGUrqewrXIbWT2zuDbrWpbmLWXqoKksL13Oad1Oo9pfzaaKTTx3+XOU1pVSF6yjf0p/FhUsIjMhk86xncmtzOWSEZdw26m38Y9v/sGXW75s7affpskkom3ErVNHkb2+jEe/3ALAuF7JPH3VKVz4l/cJG3uHnU4Z0JXB3TM4+x/fcsfkfgQ3lXLv/9YA0Dc9lg/umMBTC7ZxWr90bnljBUrBcz8dwxUTBvL6woNnnx7XtzODu6cz8W9fU+MLYTOb+GzWaXj9YU7/29d8Nut0fv/xBh65OIsF6/Kp9QZa5gUR7VLyWbMwrXgF9d3j0H8qpPZFvXAGhPxgjyf2tsW4N3yBsjpxdh+OKRyAd38Gu5ZEOpjyMCrrBnhpCqo0Mgmomv5Pkifdjvr277DoH5F2A84h9cJnKNg8D3v30cT0m4DJYoPnJ4IrMjqmL3kBU/pg+Og2sCcQe8cPuNdnEyje2BovjehgzCYzv5r8K2Z+PZNVZasAuHvM3dx48o2U1pay27ObX333KwB6xPfgrfPfYvqH03lhygtMHzqd8z48j+l9phNrjWXmgploNJ1iOvHxxR+TFEri+i+uZ8OeyHv+b076DQrFm5veZObomfxy4i/5bsd3ePYtiC6OSnMnVxqYq5TSwPNa6xea+Xjt1oheGTz/1pqG5eV5lRgaOifFUlhRt0+7dLLXl+APGYztkcyL3+2dPX17uZsd5XVsLanjtjP6AaA1fLymiMtHZgAHJ1dnjejB3A0l1Pgio1qBsMGHqwq5bGwmnkCY+ZtKyUyOYWtpDQO7JpOzvbSZXgHREdi7j0LNvT+y0P1k2PBhJLGCyEjWlmzsmSNRthjUzm9h0Hl7EyuAwhUw+EIo3Tu7ulr3DnrIRbBunxnet36JssdhciZi6z4KVbYRwv6GxApArX0bLnm+/tg1sPVLbN1HSXLVggoKCqA6UrKko+nSqQvhcLghsQL4bOdnPDbuMTKMDN7c+WbD+vzafLZVbaNfcj8+2v4Rl/S9hJpADaMzRpO9MxtN5A/wUk8pG/dspEd8j4bECuCzHZ/xwPgH+Ouyv/KX0//Czj076burLxu2tsNyT1VQoAua/TDNfcZO0FqPAaYBdyqlJh7YQCl1i1IqRymVU14u13kPJb+8hrE9kxuWM5OdxNrN7Dmgll9+eQ3jekXa7XS5GbPPPglOC73TYkmNs7HTtfceqayeyeSXVzd63PX5Lk7uk4Jpn+pJp/RNpaDCg1IwtkcyRVVe+mfEs9tVG42nKjqw0J486HFyZGFPLvQ4Ze9GpdDdTyK4J4/Qnjx0p2FgcUYKK/8ooRvEpUNsWsMq3X08KBN0P2lvu4whEA5h+OoI7dmFju8KSd3Buff3hR7jwV9/TisTZI6LxCdEC6ioqiDGGkPX2K4N60anjya/MJ/dBbsZlTaqYX2cNY6+iX3Jr8lnfJfxJNuTMSkTeTV5jMrY285hdtA/qT+x1lgyYjL29psxmrzqPAanDKY6UE23hG4Ul0mB8uPRrCNXWuui+n/LlFIfAicB3x7Q5gXgBYgUbm7OeNqyl+av4amfn02v1Bj21AX46fgevDR/Lb5geL9289fu4qrTBvPKjLGsLazhptN60yXBztayOn56cg9yy+r44wVDqfIEuOm03gzuEs+EPinc8K/G60p9tnIHN509kvdvP5WPVhdxxoB0RndP4uVFO3nr5vEkOq3cMakPn63cQWm1DCGL41O18FnSr3gC1WkYBL3QbQxc8x4qdy7GoOkEA0F8uYtAmUg46RostSWYbshGL3sR4jrBqKuhbBPc8i1q6bPoxB7ooZfg2foNsRc+DV1GRhKm8XdQvfQ/oMN4t35D8OSfYvNWoW79FpY+j07tDyOvQJdswHTSLRiDLyToqcG3/fvWfok6lMzMTMpVeYcs3OzBw+wVs3nlnFf435b/keJI4YK+F3DPR/dQ46/hudOfI9GRSF5NHlcOvJLNFZv53cm/Y2TaSLaVb+OlKS+xpGgJ5w06j0R7ImvL13LFwCso95RT5i3jrfPf4j8b/0PXuK6c3+d85myfw7NTniUQDvDxpo9xjWqft0qbFprI7JbZ7MdR+khfEzvWjpWKBUxa69r6x/OAh7TWXxxqn6ysLJ2Tk3Ncx501axYrtpfgGzL9uPo5EXVNjuOCcX2Jc9j4en0+K3c0fgnOYTVz3ti+9O+STMGeGmJsVrL6daZ3RiLBsMH24kq0UoQNzeqdpXyyPPew3zy0Wkzcdf5YRvbuRHlVHWvzXXRPSyDObqHCHWDJ5gK+3dj8w6ytxbFxDmP7do5mFfXjNmvWLHx5y3kgq+7IjdsYS0pP4kZeiLI68Gz9BmtqL2wZ/fAXb8S97jMIBwFQFjsxw6fj7HcaJpuTUHUx2tDoQB3BygJs6X0Iuytxr/6IcG0pMcPPJ37cVZFvC/7wOr7NX+09qNlG7PDziR19CZbYVEI1JVR98yy29L7Y0vviL9oQObbR+Jc+2oNHcuJw9Bp3wp3nqwpXdcjk6keju43mjL5nUOuv5fNNn1NcExlRSnYmM33odLomdKVbYjfi7HHscO3gn9/9E2/Qy5QBUxjceTBmzPRJ6wNATn4OVosVi8lCYVUhPVN6olA4bU66JXRjj2cP2Zuy+X5X+/0jwrTQxOhuo6N5nqvGVjbnyFUn4EOl1I/H+e/hEitxZEWVdTw/d80R2/mCYT74Yf+vrL84f+0xHzcYMnjs4+XHvL8QRyNUsYuqr59uWPbnLWu0nQ75ca96H/eq9xvdfuDkIJ51n+FZ91njBw0HcK/+EPfqD/dbHdh1fH/sCXG8VhWuYlXhqoPWV3oreSPnjUPul705m+zN2c0ZmjiMZkuutNY7gJHN1b8QQgghxImo430FQwghhBCiGUlyJYQQQggRRZJcCSGEEEJEkSRXQgghhBBRJMmVEEIIIUQUSXLVRplNiulj+3DD5GGcOqgbCU5bw7YBXZMZ06cTFvPB/739Oicxtk8nbJb9t5lNilG9MhiSmUpagpOT+nchJc6xX5s4h5Vx/TrTLSWueZ6UEFFiSemBvffJKFvsQdvMSd0i2xwJ+29QZuzdR2PrMqSFohRif1aTlVFdR9Evrd9h23WK60RW9ywSHYlROW7P5J6MyRyDw+I4cmPRJFK4uQ0a1C2Vf918NmEDKj0BbkhyAppnsldx1ohepCfGUOkJ0CXRyX2vLWDD7j04bRYemzGZHumJlNf66J4cw6/fWMiqnWX0zkjkyZvOotobIsFpJSnGxraSGvpmxPPa1+t4feEGpo3pzf0XncyWkhr6ZsTx3cYC/t9732M00yS0QhwTZSbtwodw9B0Pe7ZDxmAq5jyMZ9NcQJFy/gPEDDoTyrdCp6FUfvko7rWfYk3vR8bVT6O8FWCNIRzwUvrWTAz3ntZ+RqKDGNppKH8+/88Uu4tJdiRTVlvGb+b8Bndg/xnbfnHaL5g2eBq5lbkMTBnI898/z4frPjxEr4dnNVl58NwHGdJ5CEV1RfRK6MUj8x5p15OIthRJrtqgR392Boty9/DLt1dhaDhrcAYPXTSMO84dzddbyrj8xW/QGs4b3pk/XXU6P/n7R1w/eRgur8FP//Y1hoZJA9L5y9Wnc9FfP+D3V0zg2YU7eHPZbgB+O20Q6fF2bntzFXNmTmBDvov7LzqZy577ntyyOpxWM2/dfDLnjO5F9sqdrfxqCLFX7MgLcSSlY3pyOIR80GkYKdd/jnfnDzj7nkpMlwGY/jkCAm5I60/KTfPxbl9C6gUPYvruMdSK1wBQU/8fKWfdheuT37fuExIdgkLx+3N+z8PLHmZB/gIUikcmPML1467nmcXPNLQb33M8J/c+mfM+OI/aYC1dY7vyzvR3WJa/jMLqwqM+7mUjL8Nit3DOB+cQMkKMTB/Jv6b8i0tfuxR/6NBVO8SRSXLVxjisFuKddl5ZtBOjftDoq01l/HG6ZvXuKraV1vHjYNLn60p48IIhdE6K5eQB3fjTZ1sa9lm4tRxfyGBQ1xQGdEnireVLG47x2pI8PvnFadzzvzV8traYC0/qx/K8PeSWRUqteINh3l6+mwn9u0py1Yry68w8kiOXaPc18+zTSF3xaiSxAihdjzd/JbNrJjA1aQJpK1+PJFYArm34ti9mvuVsrkvvj1r5ekM/aulzcMOCDvX65teZGdDaQXRQXRO6YjVbWZC/AACN5s3Nb/LIKY/A4r3txnUfxyfbP6E2GCkoXuQuYuHuhWRlZh1TcpXVPYv/bv0vofqyTmvK17C7djeDMgaxpujI1UDEoUly1cYEQmEMw6BfRhyrdlcBkOi0khRjJWQ4sFnMDW1TY204rGaqPX7Kqt30y4gjZ1clAPF2Cymxdoqr3fiCYTKTY8iviBRe7pcRR0m1r+Hx+p2FnDMmA5OiITnrlxFLuRRqbjX9+h3+noyOqtKvCKcNouG3wGTGlNaPkioPVUErwdSBWH/cphQqfSA1ajuhUAhzUg+ozItsSx9AbU0Njl7jWvw5tJYByHnVWqp91cRaY0myJ1HlrwKgT2IfXHX7F08ud5fTu1Pv/db1TuzN4s2LORYut4veCb1ZyEIAbCYbXeO6HnRccfQkuWpjDK35cvVO/njBUBKdVkprfNw8sQ8lNT4Ih7hqXCauWh8VniC3nN6b97/fiscf4o1v1vP49WcSazdTWuPnxgm9yF61g4paH7O/Xs8rM8byzMIdxNjM3D1lAP9bns+jlw2nS4KNXy3cwOg+nXn+2jG8t7KQYV0TuXhUV2Y89Xlrvxwd1qxZs1o7hBNX8DTAgOLVcNItFJRUYDKZmHrueRD0guGD3Ush60YcyV0ir2UoADM+hQWPgC0OzvoDnRyJJ1QRY9F+1QXq+HTDpzx71rO8vul1Uh2p/HzYz/njF3/cr132pmxeGfkK92fdT05pDuf2PBcbNpbuWnqIng/vnVXv8PSlT2NWZnbV7uLKAVeyomAFhTVHPwom9qf0CXRDclZWls7JOb5CqbNmzWLF9hJ8Q6ZHKaoT03VnDOXS8QNw2Cx4/UE+zcnlncWb6dMpictPGUisw8bC9bv4bMWOhn0GdUvhJ6cOIjHWzncbdvNJTm7DJcSzhvdg6ug+oCEQChHntLO5wMXbizZT7fHjsJq5YsIgRvfuTGFFLW99t5HCirpWevYty7FxDmP7dpYP2rYk6IOwH2zx3HPffYRCob3/fyEfhPyRJMpk3n8/fy0oEzTyLUPR8mbNmsWqwlUYk4zWDqXZKRTnDjqX0/ueTp2/jg/Xfcim0k0HtUuLTePKUVfSM6UnG0s28u6adw+66f1o9E7pzeUjLyctNo2l+Uv5eP3HhI3w8TyVE5ppoYnR3UZH8/1cNbZSRq7aqDe+2cAb32w4aP36fBfr8xsf0t1cWMHD7y5pdNtX6/L5al3+IY/nC4Z5feEGXl948DGFOOFYHZEfIBQK7b/N4oj8NMYe38yBCdE4jSZ7czbZm7MP287ldu13k/vx2lmxk8e+fixq/YkImedKCCGEECKKJLkSQgghhIgiSa6EEEIIIaJIkishhBBCiCiS5EoIIYQQIookuRJCCCGEiCJJrtoxp81C97R4LKaDp+HokhxLl6TYQ24/lHinjczUOFT9LkpBZmocCU5btMIWQgixD5My0S2xGzHWGCwmC5mJmTgOmE7ErMwNbZoiwZFAl4QuzRGuQOa5ard+Nmko108eTo0viM2s+PN737NocyHd0+L5y0/PoHNyLA6bBY8/RCgc5pF3l7BkS9Eh+zMpxb0XjuO8sX3w+EN4AyFenLeam6eMwmmzEGO3kL1qJ3//aBnGCTQxregg/HWRTB8NWoPZeui5rJoiUAfaAJM18u+P57QyRY4hk4yKFjKq6yj+b8r/oZQi0Z5ISIeoDdQSZ43j1WWv8u6adxmbOZbfnf07DAzibfG8s/odXl32aqP9mU1m7pt0H5P7TcYX8lHtq+bBLx5kZ4XUiY0mSa7aoZP6d+GS8QOZ9s/vKKr2kdUzmZdnnMalj37E/7tmIu+uKubVJXk4LGaeunoUlZ4gj1xzOpc8+hHVnsYroV86fgD9uqVz2t++psYb4sKRXfnL5afy+4/W88GqQhKcFl66biyXnTKAd5dsaeFnLDq0gBvW/Q8+vz+yPPX/wbBLIe4Ykyt/HSx6AhY9HknQLnsFYlLgtfNAmeHif8Og6WB1Ru85CNEIh8XBw+c9zP8t/j82V2zmo4s+4o75d7DWtZZucd14deqr7KrYxR/P/SP3f3s/PxT/QJozjZemvMS28m0s2rnooD6vHHUl6UnpTHl/Cu6gm8v7X87D0x7m2jevbYVn2H61y+TK5KnAsXFOa4fRas6edDOvf59PUX3x5ZxdlfywrZTpXdx0TnTy6pI8tAZvMMy/FuTy6OUjWLa9jNNjS5if03gB0DOvHcdz3+6gxhuZ7fqTNUXcf85AcssjJXBqvCGe+3Ynt49N5NOX2tdrb/JUAJ1bOwxxKGY7zP8TGPUzsS/8M4y7MZIk2eOOvj+TBRY/ERmtCnphwcNw1ZtghIEwfPVQJLkSLaMqUrKkIxo9ejTbXdtZVLiIi/tdzOLCxax1rQWgsK6Q97a9x6VdL2Vj6UZ+KP4BAJfXxX+3/JczEs5gycKDK3JMPH8iT6x/AncwUjLnvW3vcfOQm+m9rTe7Cne13JNrLVVAt+Y/TLtLrqSqO8RaNBl2637rOiU6KLIrHFYzsTYLdf7IB1FavJ0ab4hOCQ46x9sY27fxJMJkBEmLszcsW0yKBIcFt39vaZG0ODvKCB2yj7ars5xXJzIjCHHp4KuKLMemQ8ADFvthdzskpcCeAN7KyHJcRiRR+1Fsen2iJZpbR/+96xrTlfSYdABqA7WkOFP2255uT8fsNze0+VGaPQ2H38HobqMP6lMHNamO1IZlu9lOnD2OXgm9SCHloPbtTreWOa/aXeFmEeENhvnz55tYuauSn4ztzhXjMomxWfAGQqwpqOaxL7eQEmvjjxcMYVtpHSf3SSHGdvhcu9YX5HcfrCO/wsOdk/txSt9Uvt++h2e+zqV7Sgx/vnQ4CQ7rYfsQIurCQajYCdn3R0abznkEUvpECjMTKf4LNL1Qa9ALxWth/h/AkQjT/wnhAHx8RyRhO/8JSMw8uOizEM3AE/Qwb9c83t3yLv+Y/A8+3/E5c3bMIatTFneNvQuHxYEn6GFO7hzey32PIalD+PVJv8ZpOfRl62p/NX/6/k+Uuku5Y9QdjM4Y3eQb4cVBGv1GmCRX7ZjbH8LQGqvZhMO694MgFDbwBsN4vD5M2iAhPg67tWkfFLW+IAAOqxmr2UQwbOALhlFAnCRWorUYBvhrAR1JgPa5H+qokyuAcAiCnshjR0JkpCoQuYyCPZ6Gr8sK0QL8YT/BcBATJkwmEyEjhEmZ9kuIFn63kD4D+pCakkqs9chfuKgLREZjHRYHFlO7u4jVkhp9M5BXtB2LtTf+32sxm4g3m/i/X90LHN2HTvwBCZTVbMJq7pj3Q4gTiMkEzsTo9We2gDlhn/7NkSRLiFZgN9uxmw9/mfuDdz8Amv5+Hmc7hvsRRZPJp6IQQgghRBQ1KblSSl2qlNqmlKpWStUopWqVUjXNHZwQQgghRFvT1MuCfwMu0Fpvas5ghBBCCCHauqZeFiyVxEoIIYQQ4siaOnKVo5R6B/gIaJjCW2v9QXMEJYQQQgjRVjU1uUoAPMDUfdZpQJIrIYQQQoh9NCm50lrf0NyBCCGEEEK0B039tmCmUupDpVSZUqpUKfW+UiqzifualVKrlFLtq+DcCSxsGHgDYcKGbihzc7w8gRChsEEwbOD2hwgbmlpfEMPQ+5XAEaLVGUak/I1hgL+OzMxM+vTpEylhYxiRyUD3/ddf29oRC0HICOEL+QjrMLWBWkJGqGFdU3Tt2pWZ984krMN4Q17CUqKpVTX1hvZXgU+ArkRKHn5av64pfgnIzfAtqMId5JJ/L2bgA9n89fNNeAPH90vmCYT4Yn0Jox+axyl/+YqcvArc/hCz3lpNn999zi1v5OANSIIlThD+anjtPHg4FT6/j5m338ztN98AH90GD6fAm5dD0A1z7o4sf3wnBJv2ASZEc3F5XVwx5wqy/pPF82uep7CukLPePYulxUublGDdcsctvL77dca+MZYZ2TOoDcgfDa2pqclVutb6Va11qP7nNSD9SDvVj26dD7x0HDGKo+D2h3hy/lY2l9QSMjT/WZpPYZX3uPq0mk38/qP11PpDuOoCPDRnE4bWfL2lDIDFuXt4f2UhJ1IpJdFBBX2w6AkoWgXagDVvYXZtweTaAps+jdQe3LUElr8Eaf0jyxs/hl2LWjty0YG5A27+ufKf7KzeScgIMXvjbALhAJlxmTz0w0OY1JE/qvNq8/ho+0eEdZhNFZt4Ye0LTR71EtHX1OTKpZS6tv4Sn1kpdS2wpwn7PQn8CjAO1UApdYtSKkcplVNeXt7EcMShmJQ6qByNxXT8ddDM5r192CwK44A8ym4xoaTemmhtCjDb9l9nsaEP/HAy28HYZ7T1wH2EaEmKg+r7WUwWQjqE1WRFc+Q/XA/c32a2oRoveydaQFOTqxuBK4ASoBi4vH7dISmlpgNlWusVh2untX5Ba52ltc5KTz/iYJg4AqfNzN1TBnBK31SSY6zcdXZ/MhIOX5PqSEJhgyevHEVmspN+GXE8cvEwzCa4fGwmCU4LF4zowvQRXaP0DIQ4DhYHTPgl9DsLnMlw6i/xx2USTuoLY28ARxIMvgDGzoC68kibrBshc1xrRy46sFhrLPeMvYcxGWNIcaRw15i7CBkh3EE3fz7tz03qo7O9MzcOvZFEeyKndD2Fm4bfhN1yfO/94tip5rqUo5T6C3AdEAIcRKZz+EBrfe2h9snKytI5OTnNEk9HYhgaTyCMzWIiGDYOWcB51qxZQNMKffqDYTRgaI3WYDMrvEEDh9VMIGQQ55Aa4OIE4q+NjE6FAzz8tyewWq385u4769f5wR6/T5v6ZSFakWEYeMNerCYrwXAQs8kMgEmZsDVhZPWhhx7iwssuZMigIQTCAWKtsXI1oWU0+iIf9hNRKfUrrfXflFJPw8HjklrrWYfaV2v9W+C39f1MAu47XGIlosdkUg3Jjs0Sndrcdqv5oHVWizmqxxAian5Mliw2Gm432Gddo8tCtCKTyUSsKRagScnUgVwuF688/wpPPfXUMe0voutIww0/fstPhpOEEEIIIZrgsMmV1vrT+ocerfW7+25TSv2kqQfRWi8EFh5tcEIIIYQQbU1Tr+f8tonrhBBCCCE6tCPdczUNOA/oppTa967nBCI3qgshhBBCiH0c6Z6rIiL3W10I7DulQi1wd3MFJYQQQgjRVh3pnqs1wBql1H+11sEWikkIIYQQos1q6uREvernrRpCZM4qALTWfZolKiGEEEKINqqpydWrwB+BJ4DJwA0cYuIs0XakpKRw48234faHCBuaWJsZX8hAKQiGI8sWs8xhJToArSOTiposkXc2a0xrRySEaMOa+snp1Fp/RWRG911a6weBM5svLNESfnH3fWyo0Fzw9CJufG05nmCYVxbv5OzHv+H+d9fgDYYJhg5ZFlKI9sNbCe/OgH+Ph9VvQcDd2hEJIdqwpiZXPqWUCdimlPqFUuoSIKMZ4xItIC7GyT3/W8MOlxu71USey83jc7dSVO1j7sZSnl24nUA43NphCtG8/HUw7w+wfQFU7YLP75XkSghxXJqaXN0FxACzgLHAtcCMZopJtBBDa4LhyMiU3WLGHdg/kXIHwjRT6UkhThzagKBnn2UNIV/rxSOEaPOalFxprZdrreu01gVa6xu01pdprX9o7uBE8woGw9w7dQB2i4ktxTUM75bIhSO7ohT0TY/j9jP6St1A0f45EuDM30NSD1AmGHczxKS1dlRCiDasSTe0K6XmAT/RWlfVLycDb2utz2nG2EQzm/3y81xz/U38/PQ+aK0xtOb/XTKMv/9kBIaO/AFvsxxcsFmIdiehG/xiOWCCcABsckO7EOLYNXVYIu3HxApAa12J3HPV5uXm5vLQA7/FajZhs5hxWC3EO6z1j804bZJYiQ7CYgOLI/KvPa61oxFCtHFNTa4MpVSPHxeUUj0BuRtHCCGEEOIATZ3n6v+ARUqpb+qXJwK3NE9IQgghhBBtV5OSK631F0qpMcB4IlPs3a21djVrZEIIIYQQbdBhLwsqpQbV/zsG6EGkkHMh0KN+nRBCCCGE2MeRRq7uBW4GHm9km0ZmaRdCCCGE2M9hkyut9c31/05umXCEEEIIIdq2wyZXSqlLD7dda/1BdMMRQgghhGjbjnRZ8IL6fzOAU4EF9cuTgYWAJFcngDp/CMPQOG1mrGaZUV10QOFgpISNMh95nip/HegwWGPAbG2Z+ISIotpALQBx1jiUUg3rExMT8Yf8BIwAVpMVh8XRWiF2eIf9JK4vdXMDkfurhtSXvbkMGNoi0YkjcvtDPDxnIze/nsPiXBcef6i1QxKiZQXcsP1reOtq+PK3EKg7TNu6SJu3ro7sIwWaRRsSNsIU1RXxwKIH+M13v2FXzS6C4SAANpuNX9z9C97Z8g63z7+dVze8ik9qZLaaps5z1UtrXbzPcikwoBniEUfB7Q/x6BebeWf5bgBW7Kpk5e+ntHJUoqN66qmnyM3NbdFjZmRk8KuZt2B7+2owQrBrMYbFybr0i3n5jbcB2LZtGwBrcr5neNmHmFa+Htl591ICd23mb397grKyshaNG6Bfv37MmjWrxY8r2i5/2M/dX9/NxoqNAOys3smHF30IwIgRI9hWu43Hch4DYE35Gvol9mNKL/lMaA1NTa4WKqW+BN4iMop1FfB1s0UlmiRsaIqqvA3LIUNT6QmQ4JRLHaJjiI2NJVxXHkms6plqConvvbc2oNPpBCAhNgZTTcHenY0Q4dpyYmNjWyxeIY6H1WSlxFPSsFzuKcdiinyMx8XFUewp3q99fm0+hjYwKbldpKU1dRLRXyilLiEyMzvAC1rrD5svLNEUcXYLM8/sz/fb9+AOhDlrcAYZCXKNXbSOVhuFCXphwDmw9UuwxcHE++jTeQRPPfXU/u0MAxLvhx3fRC4PDjgHZ0Zv7r777taJW4ijFNIh7hh5B39e9me01tw68lb8IT8x1hg2bNjArHNn8cbmN9hZs5MusV24fMDlkli1kqaOXAGsBGq11vOVUjFKqXitdW1zBSaOzGRSDOgUR84DU6jxBUlwWHBapdiy6GCsTrj8NfBVgzMRUGBq5APFZIK0gXD/NvDWt7U6WzpaIY6Z0+Lkgr4XcF6f8zC0gdVkJcYaGaUtLy/n048+5d0r3qXCV0GKMwWzks+D1tKklFYpdTPwHvB8/apuwEfNFJM4Ck6bBafNTKcEB07b0eTKQrQjthhI6BL5BuDhEiZbTKTNj22FaGNirDHE2+JJtCc2JFY/WvbDMuwWO13iumA32xsuGYqW19TxwjuBCUANgNZ6G5HpGYQQQgghxD6amlz5tdaBHxeUUhYiN7YLIYQQQoh9NDW5+kYp9TvAqZSaArwLfNp8YQkhhBBCtE1NTa5+A5QD64Bbgc+BB5orKCGEEEKItqqpUzEYSqmPgI+01uXNG5IQQgghRNt12JErFfGgUsoFbAa2KKXKlVJ/aJnwhBBCCCHaliNdFryLyLcEx2mtU7XWKcDJwASllMy8J4QQQghxgCMlVz8DrtZa7/xxhdZ6B3Bt/bZDUko5lFLLlFJrlFIblFJ/Ov5wxYG8gTDuA4o1h8IGdb4gYcPYb73WGrcvSI03gGFoLJbGrwr7Q2HqfMGG5UDIwO0P4mvkWEIIIY6foQ3qAnUNhZibkzvoxh/yN7rNG/TiDXob3Saa7kjJlVVr7TpwZf19V0cqYOcHztRajwRGAecqpcYfU5SiUXX+EE/O38ojn22kuNpLMGzgDYT5aHUhv/twPd9tc+GpT4a8gRBuf5h3cgr4/ccbWJFfyU233nFQn95AmJe/28kfPtnApuIa6nwhvtxQQjCseWZhLg9+soE8lxtfMNzST1cIIdolT9DD6rLVPPLDI7y37T18IV+zHMcf8rOrZhd/XfZXXlz3It7Q3iTKMAyqfFU8sfIJnlz5JFX+KowD/kAXTXekG9oDx7gNrbUG6uoXrfU/MjdWlNT6gtz37lq+3BAp4rko18W8u8/gu9xy7nt3LQCfrCli/j1n0C8jjpCheW9FAQ/NiVRTn7O2mEW/OoMePXo09OkNhHjm6+386+tcALLXlbD0d2eR4LTw1+zNvL18NwBfbS5jyW/ObMmnK4QQ7ZY76ObGL28krMN8tvMzLMrCJf0vaZYZ1q/9/Fqq/FUAVPoquSfrHmKtsfjCPm7/6nbWu9YDsKliE8+e/SyxJilsfiyONHI1UilV08hPLTD8SJ0rpcxKqdVAGTBPa720kTa3KKVylFI55eXyRcSmMpsUm4prGpZ3V3jRsN86gA1F1UAkGdtUvLcUZNjQbC9zk5KS0rAuGNasr28P4A2Gya/w0CMlZr9+K9wB6nxyeVAIIaJhR/UOwnrv1YD1e9YTCB92/OKY1ARqGhIrgC2VWzB0ZHTKYXGwtWLr3m0VW3CYHVGPoaM4bHKltTZrrRMa+YnXWh/psiBa67DWehSQCZyklBrWSJsXtNZZWuus9PT0Y34iHY1CMePUng3LF4zogmFoLh2dSYwtUqwzI97OWYM7AZAe5+CKrExs5sh/ec/UGEb3SGL79u0NfcTazdxwai9MKrI8vFsifdNj+XZLOdecvPdYp/VLI9YuNauEECIaRqaPpHt8dwBsJhtXD7r6oLqB0RBni+Pkzic3LF8z+BrsZjsA3pCXKwde2bDtyoFX4gs3z+XJjkBFrt61wIGU+iPg1lr//VBtsrKydE5OTovE0x54AiFcdQHc/hC902JxWM34gmGCYYMtJbUM7ZqIxaywmk0YhsYTDBEIaXaU1zGsWyIfvv8e3y9ZzFNPPbW3T38IdyBMYZWXwZ3j0Wh8QYOwofGHDPa4A/TPiMNhlWrrQggRDWEjTMgIsaliE70Te2Mz23BaDlOAvBGzZs0C2O/9vDH+kJ/cqlzSnGnE2+L3S+K8IS/FdcUopegc2/moY+igVGMrm234QSmVDgS11lVKKSdwNvBocx2vI4qxWeiRsv9/ocNqxmE1k9UrZb/1JpMizm4FO6TERrZ9v2TxwX3aLcTYLaTH2/fpc+/2rknyyyaEENFkNpkxm8yMyhjV7MeyW+wMTRva6DanxUmfpD7NHkNH0JzXdroAs5VSZiKXH/+ntZ7TjMcTQgghhGh1zZZcaa3XAqObq38hhBBCiBNRUws3CyGEEEKIJpDkSgghhBAiiiS5EkIIIYSIIkmuhBBCCCGiSJIrIUS75nK5mDlzJnv27GntUIQQHYQkV0KItsMIR36OwuzZs1m7di2zZ89upqCEaDvCRni/UjuieUhyJYRoGwJuWPYC/PBc5HETuFwusrOz0VqTnZ0to1eiQ/MEPby56U3e2vQW3pC3tcNp16RAnBDixOevhfduhG1zI8vb58MVb4A97rC7zZ49mx9LfBmGwezZs7nnnnuaO1ohTjjuoJu7vr6LH4p/AOCH4h94dOKjxFpjWzmy9klGroQQJz5rDOR9t3d557dgO/KHwrx58wgGgwAEg0Hmzp3bXBEKcUKLtcayvGR5w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+<h3 id="Level-of-aggreement-between-two-clinical-measurements-accounting-for-multiple-data-points">Level of aggreement between two clinical measurements accounting for multiple data points<a class="anchor-link" href="#Level-of-aggreement-between-two-clinical-measurements-accounting-for-multiple-data-points">&#182;</a></h3>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
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+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[43]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span><span class="p">,</span> <span class="n">means</span><span class="p">,</span> <span class="n">diffs</span> <span class="o">=</span> <span class="n">bland_altman_plot_repeated</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">trans_df</span><span class="p">[[</span><span class="n">top_feature1</span><span class="p">,</span> <span class="n">top_feature2</span><span class="p">,</span> <span class="s2">&quot;TIME&quot;</span><span class="p">]],</span>
+                                                   <span class="n">column1</span><span class="o">=</span><span class="n">top_feature1</span><span class="p">,</span>
+                                                   <span class="n">column2</span><span class="o">=</span><span class="n">top_feature2</span><span class="p">,</span>
+                                                   <span class="n">group_column</span><span class="o">=</span><span class="s2">&quot;TIME&quot;</span><span class="p">,</span> 
+<span class="c1">#                                                    hue_column=&quot;diagnosis_ms&quot;,</span>
+                                                   <span class="n">limits_approach</span><span class="o">=</span><span class="s2">&quot;anova&quot;</span><span class="p">,</span>
+                                                   <span class="n">aggregate_scatter</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+                                                   <span class="n">aggregate_scatter_method</span><span class="o">=</span><span class="s2">&quot;median&quot;</span><span class="p">,</span>
+                                                   <span class="n">plt_title</span><span class="o">=</span><span class="sa">f</span><span class="s2">&quot;Bland-Altman mean difference plot between </span><span class="si">{</span><span class="n">top_feature1</span><span class="si">}</span><span class="s2"> and</span><span class="se">\n</span><span class="s2"> </span><span class="si">{</span><span class="n">top_feature2</span><span class="si">}</span><span class="s2">, taking into account multiple time points&quot;</span><span class="p">,</span>
+                                                   <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">9</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
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+<pre>/Users/jamestwose/Coding/data-science-core-develop/neuropy/frequentist_statistics.py:2576: UserWarning: The amount of data in the columns is not equal across columns, hence the amount of data shown in the plot is equal to 210, column == Dedication
+  warnings.warn(
+</pre>
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
+"
+>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[44]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">target_name</span> <span class="o">=</span> <span class="s2">&quot;RAI&quot;</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[45]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">feature_collection</span> <span class="o">=</span> <span class="s2">&quot; + &quot;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">features_list</span><span class="p">[</span><span class="mi">3</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
+<span class="n">feature_collection</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[45]:</div>
+
+
+
+
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<pre>&#39;ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + RelatedFrust + Vigor + Dedication + Absorption + WorkEngagement + SelfControl + Congruence + Interest + Control + AutonomousFunctioning + IncStructResources + DecHinderDemands + IncChallengeDemands + IncSocialResources + Resilience + Optimism&#39;</pre>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[46]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">trans_df</span><span class="p">[</span><span class="n">features_list</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">]]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">value_counts</span><span class="p">())</span>
+<span class="n">trans_df</span><span class="p">[</span><span class="n">features_list</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">]]</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[46]:</div>
+
+
+
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>Allocation</th>
+      <th>age</th>
+      <th>ExternalSocial</th>
+      <th>ExternalMaterial</th>
+      <th>AutonomySat</th>
+      <th>CompetenceSat</th>
+      <th>RelatedSat</th>
+      <th>AutonomyFrust</th>
+      <th>CompetenceFrust</th>
+      <th>RelatedFrust</th>
+      <th>...</th>
+      <th>Congruence</th>
+      <th>Interest</th>
+      <th>Control</th>
+      <th>AutonomousFunctioning</th>
+      <th>IncStructResources</th>
+      <th>DecHinderDemands</th>
+      <th>IncChallengeDemands</th>
+      <th>IncSocialResources</th>
+      <th>Resilience</th>
+      <th>Optimism</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>count</th>
+      <td>226.000000</td>
+      <td>95.000000</td>
+      <td>212.000000</td>
+      <td>212.000000</td>
+      <td>209.000000</td>
+      <td>210.000000</td>
+      <td>209.000000</td>
+      <td>209.000000</td>
+      <td>209.000000</td>
+      <td>209.000000</td>
+      <td>...</td>
+      <td>207.000000</td>
+      <td>207.000000</td>
+      <td>207.000000</td>
+      <td>207.000000</td>
+      <td>181.000000</td>
+      <td>181.000000</td>
+      <td>181.000000</td>
+      <td>181.000000</td>
+      <td>181.000000</td>
+      <td>181.000000</td>
+    </tr>
+    <tr>
+      <th>mean</th>
+      <td>0.650442</td>
+      <td>46.115789</td>
+      <td>3.701258</td>
+      <td>3.166667</td>
+      <td>5.129984</td>
+      <td>5.654762</td>
+      <td>5.455742</td>
+      <td>2.801435</td>
+      <td>2.330542</td>
+      <td>2.262360</td>
+      <td>...</td>
+      <td>3.850483</td>
+      <td>3.421256</td>
+      <td>2.201208</td>
+      <td>5.070531</td>
+      <td>5.692818</td>
+      <td>3.046961</td>
+      <td>4.907182</td>
+      <td>4.020718</td>
+      <td>4.550645</td>
+      <td>5.298343</td>
+    </tr>
+    <tr>
+      <th>std</th>
+      <td>0.477889</td>
+      <td>9.934748</td>
+      <td>1.410806</td>
+      <td>1.336686</td>
+      <td>1.016055</td>
+      <td>0.922137</td>
+      <td>1.006954</td>
+      <td>1.273122</td>
+      <td>1.126968</td>
+      <td>0.965801</td>
+      <td>...</td>
+      <td>0.489228</td>
+      <td>0.897546</td>
+      <td>0.805208</td>
+      <td>1.245400</td>
+      <td>0.828069</td>
+      <td>1.211355</td>
+      <td>1.217741</td>
+      <td>1.286867</td>
+      <td>0.921309</td>
+      <td>1.374145</td>
+    </tr>
+    <tr>
+      <th>min</th>
+      <td>0.000000</td>
+      <td>23.000000</td>
+      <td>1.000000</td>
+      <td>1.000000</td>
+      <td>1.250000</td>
+      <td>2.750000</td>
+      <td>2.000000</td>
+      <td>1.000000</td>
+      <td>1.000000</td>
+      <td>1.000000</td>
+      <td>...</td>
+      <td>2.000000</td>
+      <td>1.000000</td>
+      <td>1.000000</td>
+      <td>0.400000</td>
+      <td>2.800000</td>
+      <td>1.000000</td>
+      <td>1.000000</td>
+      <td>1.400000</td>
+      <td>1.666667</td>
+      <td>1.000000</td>
+    </tr>
+    <tr>
+      <th>25%</th>
+      <td>0.000000</td>
+      <td>40.000000</td>
+      <td>2.666667</td>
+      <td>2.000000</td>
+      <td>4.500000</td>
+      <td>5.250000</td>
+      <td>5.000000</td>
+      <td>1.750000</td>
+      <td>1.500000</td>
+      <td>1.500000</td>
+      <td>...</td>
+      <td>3.600000</td>
+      <td>2.800000</td>
+      <td>1.600000</td>
+      <td>4.400000</td>
+      <td>5.200000</td>
+      <td>2.166667</td>
+      <td>4.200000</td>
+      <td>3.000000</td>
+      <td>4.000000</td>
+      <td>4.500000</td>
+    </tr>
+    <tr>
+      <th>50%</th>
+      <td>1.000000</td>
+      <td>47.000000</td>
+      <td>3.666667</td>
+      <td>3.333333</td>
+      <td>5.250000</td>
+      <td>6.000000</td>
+      <td>5.750000</td>
+      <td>2.750000</td>
+      <td>2.000000</td>
+      <td>2.000000</td>
+      <td>...</td>
+      <td>4.000000</td>
+      <td>3.600000</td>
+      <td>2.200000</td>
+      <td>5.000000</td>
+      <td>5.800000</td>
+      <td>3.000000</td>
+      <td>5.000000</td>
+      <td>4.000000</td>
+      <td>4.666667</td>
+      <td>5.500000</td>
+    </tr>
+    <tr>
+      <th>75%</th>
+      <td>1.000000</td>
+      <td>55.000000</td>
+      <td>4.666667</td>
+      <td>4.000000</td>
+      <td>6.000000</td>
+      <td>6.250000</td>
+      <td>6.000000</td>
+      <td>3.750000</td>
+      <td>3.000000</td>
+      <td>2.750000</td>
+      <td>...</td>
+      <td>4.000000</td>
+      <td>4.000000</td>
+      <td>2.600000</td>
+      <td>5.900000</td>
+      <td>6.400000</td>
+      <td>3.833333</td>
+      <td>5.800000</td>
+      <td>5.000000</td>
+      <td>5.000000</td>
+      <td>6.000000</td>
+    </tr>
+    <tr>
+      <th>max</th>
+      <td>1.000000</td>
+      <td>63.000000</td>
+      <td>7.000000</td>
+      <td>6.333333</td>
+      <td>7.000000</td>
+      <td>7.000000</td>
+      <td>7.000000</td>
+      <td>7.000000</td>
+      <td>5.500000</td>
+      <td>5.000000</td>
+      <td>...</td>
+      <td>5.000000</td>
+      <td>5.000000</td>
+      <td>4.600000</td>
+      <td>8.200000</td>
+      <td>7.000000</td>
+      <td>6.166667</td>
+      <td>7.000000</td>
+      <td>7.000000</td>
+      <td>7.000000</td>
+      <td>7.000000</td>
+    </tr>
+  </tbody>
+</table>
+<p>8 rows × 25 columns</p>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[47]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">scale_bool</span> <span class="o">=</span> <span class="kc">True</span>
+<span class="k">if</span> <span class="n">scale_bool</span><span class="p">:</span>
+    <span class="n">trans_df</span><span class="p">[</span><span class="n">features_list</span><span class="p">[</span><span class="mi">3</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="p">[</span><span class="n">target_name</span><span class="p">]]</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">MinMaxScaler</span><span class="p">()</span><span class="o">.</span><span class="n">fit_transform</span><span class="p">(</span><span class="n">trans_df</span><span class="p">[</span><span class="n">features_list</span><span class="p">[</span><span class="mi">3</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="p">[</span><span class="n">target_name</span><span class="p">]]),</span> <span class="n">index</span><span class="o">=</span><span class="n">trans_df</span><span class="o">.</span><span class="n">index</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="n">features_list</span><span class="p">[</span><span class="mi">3</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="p">[</span><span class="n">target_name</span><span class="p">])</span>
+<span class="c1">#     trans_df[features_list[3:-1] + [target_name]] = pd.DataFrame(StandardScaler().fit_transform(trans_df[features_list[3:-1] + [target_name]]), index=trans_df.index, columns=features_list[3:-1] + [target_name])</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
+<pre>/opt/miniconda3/envs/general/lib/python3.9/site-packages/pandas/core/frame.py:3191: SettingWithCopyWarning: 
+A value is trying to be set on a copy of a slice from a DataFrame.
+Try using .loc[row_indexer,col_indexer] = value instead
+
+See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
+  self[k1] = value[k2]
+</pre>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<h3 id="Specify-the-model-with-the-formula_string-as-the-model-syntax">Specify the model with the formula_string as the model syntax<a class="anchor-link" href="#Specify-the-model-with-the-formula_string-as-the-model-syntax">&#182;</a></h3>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[48]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">md</span> <span class="o">=</span> <span class="n">smf</span><span class="o">.</span><span class="n">mixedlm</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">target_name</span><span class="si">}</span><span class="s2"> ~ </span><span class="si">{</span><span class="n">feature_collection</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">trans_df</span><span class="p">,</span> <span class="n">groups</span><span class="o">=</span><span class="n">trans_df</span><span class="p">[</span><span class="s2">&quot;User&quot;</span><span class="p">],</span> <span class="n">re_formula</span><span class="o">=</span><span class="s2">&quot;~TIME&quot;</span><span class="p">,</span> <span class="n">missing</span><span class="o">=</span><span class="s2">&quot;drop&quot;</span><span class="p">)</span>
+<span class="c1"># md = smf.mixedlm(f&quot;RAI ~ Allocation&quot;, data=trans_df, groups=trans_df[&quot;User&quot;], missing=&quot;drop&quot;)</span>
+<span class="n">mdf</span> <span class="o">=</span> <span class="n">md</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">method</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;lbfgs&quot;</span><span class="p">])</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">mdf</span><span class="o">.</span><span class="n">summary</span><span class="p">())</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>                    Mixed Linear Model Regression Results
+==============================================================================
+Model:                    MixedLM         Dependent Variable:         RAI     
+No. Observations:         180             Method:                     REML    
+No. Groups:               94              Scale:                      0.0027  
+Min. group size:          1               Log-Likelihood:             204.1497
+Max. group size:          3               Converged:                  No      
+Mean group size:          1.9                                                 
+------------------------------------------------------------------------------
+                       Coef.   Std.Err.    z    P&gt;|z|    [0.025       0.975]  
+------------------------------------------------------------------------------
+Intercept              12.758 178230.804  0.000 1.000  -349313.198  349338.714
+ExternalSocial         -0.108      0.037 -2.907 0.004       -0.181      -0.035
+ExternalMaterial       -0.114      0.034 -3.328 0.001       -0.181      -0.047
+AutonomySat             0.231      0.054  4.241 0.000        0.124       0.337
+CompetenceSat           0.104      0.051  2.048 0.041        0.004       0.204
+RelatedSat              0.077      0.047  1.649 0.099       -0.015       0.170
+AutonomyFrust          -0.143      0.043 -3.324 0.001       -0.227      -0.059
+CompetenceFrust         0.124      0.042  2.924 0.003        0.041       0.206
+RelatedFrust            0.007      0.034  0.191 0.849       -0.061       0.074
+Vigor                  -3.905 100669.667 -0.000 1.000  -197312.827  197305.016
+Dedication             -3.934 108413.487 -0.000 1.000  -212490.465  212482.596
+Absorption             -5.103 139388.770 -0.000 1.000  -273202.071  273191.865
+WorkEngagement         11.382 302009.001  0.000 1.000  -591915.382  591938.146
+SelfControl             0.023      0.042  0.540 0.589       -0.060       0.105
+Congruence             20.200 313374.475  0.000 1.000  -614182.485  614222.885
+Interest               26.895 417832.634  0.000 1.000  -818910.018  818963.809
+Control               -24.294 376049.370 -0.000 1.000  -737067.516  737018.928
+AutonomousFunctioning -52.517 814773.636 -0.000 1.000 -1596979.498 1596874.464
+IncStructResources      0.112      0.042  2.689 0.007        0.030       0.193
+DecHinderDemands       -0.101      0.032 -3.187 0.001       -0.163      -0.039
+IncChallengeDemands     0.031      0.045  0.686 0.493       -0.058       0.120
+IncSocialResources      0.054      0.035  1.534 0.125       -0.015       0.122
+Resilience              0.067      0.039  1.703 0.088       -0.010       0.144
+Optimism               -0.044      0.037 -1.204 0.229       -0.116       0.028
+Group Var               0.003      0.004                                      
+Group x TIME Cov        0.000      0.001                                      
+TIME Var                0.000      0.001                                      
+==============================================================================
+
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
+<pre>/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/base/model.py:566: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals
+  warnings.warn(&#34;Maximum Likelihood optimization failed to &#34;
+/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2206: ConvergenceWarning: MixedLM optimization failed, trying a different optimizer may help.
+  warnings.warn(msg, ConvergenceWarning)
+/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2218: ConvergenceWarning: Gradient optimization failed, |grad| = 294.669673
+  warnings.warn(msg, ConvergenceWarning)
+/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.
+  warnings.warn(msg, ConvergenceWarning)
+/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2261: ConvergenceWarning: The Hessian matrix at the estimated parameter values is not positive definite.
+  warnings.warn(msg, ConvergenceWarning)
+</pre>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[49]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">axs</span> <span class="o">=</span> <span class="n">diagnostic_plots</span><span class="p">(</span><span class="n">model_fit</span><span class="o">=</span><span class="n">mdf</span><span class="p">,</span>
+                                             <span class="n">X</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+                                             <span class="n">y</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+                                             <span class="n">figsize</span> <span class="o">=</span> <span class="p">(</span><span class="mi">8</span><span class="p">,</span><span class="mi">8</span><span class="p">),</span>
+                                             <span class="n">limit_cooks_plot</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+                                             <span class="n">subplot_adjust_args</span><span class="o">=</span><span class="p">{</span><span class="s2">&quot;wspace&quot;</span><span class="p">:</span> <span class="mf">0.3</span><span class="p">,</span> <span class="s2">&quot;hspace&quot;</span><span class="p">:</span> <span class="mf">0.3</span><span class="p">}</span>
+                                            <span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+
+
+<div class="jp-RenderedImage jp-OutputArea-output ">
+<img 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
+"
+>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[50]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">cutoff</span> <span class="o">=</span> <span class="mf">0.06</span>
+<span class="n">drop_amount</span> <span class="o">=</span> <span class="mi">1</span>
+<span class="n">fixed_effect_output</span> <span class="o">=</span> <span class="n">mdf</span><span class="o">.</span><span class="n">summary</span><span class="p">()</span><span class="o">.</span><span class="n">tables</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+<span class="n">fixed_effect_output_no_empty</span> <span class="o">=</span> <span class="n">fixed_effect_output</span><span class="p">[</span><span class="n">fixed_effect_output</span><span class="p">[</span><span class="s2">&quot;P&gt;|z|&quot;</span><span class="p">]</span> <span class="o">!=</span> <span class="s2">&quot;&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">float</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[51]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="k">while</span> <span class="n">fixed_effect_output_no_empty</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s2">&quot;Intercept&quot;</span><span class="p">)[</span><span class="n">fixed_effect_output_no_empty</span><span class="p">[</span><span class="s2">&quot;P&gt;|z|&quot;</span><span class="p">]</span> <span class="o">&gt;</span> <span class="n">cutoff</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+    <span class="n">feature_to_drop</span> <span class="o">=</span> <span class="n">fixed_effect_output_no_empty</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s2">&quot;Intercept&quot;</span><span class="p">)[</span><span class="n">fixed_effect_output_no_empty</span><span class="p">[</span><span class="s2">&quot;P&gt;|z|&quot;</span><span class="p">]</span> <span class="o">&gt;</span> <span class="n">cutoff</span><span class="p">]</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span> <span class="o">=</span> <span class="s2">&quot;P&gt;|z|&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">tail</span><span class="p">(</span><span class="n">drop_amount</span><span class="p">)</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
+    <span class="n">sig_predictors</span> <span class="o">=</span> <span class="n">fixed_effect_output_no_empty</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span><span class="s2">&quot;Intercept&quot;</span><span class="p">,</span> <span class="n">feature_to_drop</span><span class="p">[</span><span class="mi">0</span><span class="p">]])</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
+
+    <span class="n">feature_collection</span> <span class="o">=</span> <span class="s2">&quot; + &quot;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">sig_predictors</span><span class="p">)</span>
+
+    <span class="nb">print</span><span class="p">(</span><span class="n">feature_collection</span><span class="p">)</span>
+    
+    <span class="n">md</span> <span class="o">=</span> <span class="n">smf</span><span class="o">.</span><span class="n">mixedlm</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">target_name</span><span class="si">}</span><span class="s2"> ~ </span><span class="si">{</span><span class="n">feature_collection</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">trans_df</span><span class="p">,</span> <span class="n">groups</span><span class="o">=</span><span class="n">trans_df</span><span class="p">[</span><span class="s2">&quot;User&quot;</span><span class="p">],</span> <span class="n">re_formula</span><span class="o">=</span><span class="s2">&quot;~TIME&quot;</span><span class="p">,</span> <span class="n">missing</span><span class="o">=</span><span class="s2">&quot;drop&quot;</span><span class="p">)</span>
+    <span class="n">mdf</span> <span class="o">=</span> <span class="n">md</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">method</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;lbfgs&quot;</span><span class="p">])</span>
+    
+    <span class="n">fixed_effect_output</span> <span class="o">=</span> <span class="n">mdf</span><span class="o">.</span><span class="n">summary</span><span class="p">()</span><span class="o">.</span><span class="n">tables</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+    <span class="n">fixed_effect_output_no_empty</span> <span class="o">=</span> <span class="n">fixed_effect_output</span><span class="p">[</span><span class="n">fixed_effect_output</span><span class="p">[</span><span class="s2">&quot;P&gt;|z|&quot;</span><span class="p">]</span> <span class="o">!=</span> <span class="s2">&quot;&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">float</span><span class="p">)</span>
+<span class="c1">#     print(mdf.summary())</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
+<pre>&lt;ipython-input-51-b9bb0bc68d69&gt;:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  while fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].shape[0] &gt; 0:
+&lt;ipython-input-51-b9bb0bc68d69&gt;:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  feature_to_drop = fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].sort_values(by = &#34;P&gt;|z|&#34;).tail(drop_amount).index.tolist()
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + RelatedFrust + Vigor + Dedication + Absorption + WorkEngagement + SelfControl + Congruence + Interest + Control + IncStructResources + DecHinderDemands + IncChallengeDemands + IncSocialResources + Resilience + Optimism
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
+<pre>/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/base/model.py:566: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals
+  warnings.warn(&#34;Maximum Likelihood optimization failed to &#34;
+/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2206: ConvergenceWarning: MixedLM optimization failed, trying a different optimizer may help.
+  warnings.warn(msg, ConvergenceWarning)
+/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2218: ConvergenceWarning: Gradient optimization failed, |grad| = 29.675986
+  warnings.warn(msg, ConvergenceWarning)
+/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.
+  warnings.warn(msg, ConvergenceWarning)
+/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2261: ConvergenceWarning: The Hessian matrix at the estimated parameter values is not positive definite.
+  warnings.warn(msg, ConvergenceWarning)
+&lt;ipython-input-51-b9bb0bc68d69&gt;:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  while fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].shape[0] &gt; 0:
+&lt;ipython-input-51-b9bb0bc68d69&gt;:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  feature_to_drop = fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].sort_values(by = &#34;P&gt;|z|&#34;).tail(drop_amount).index.tolist()
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + RelatedFrust + Vigor + Dedication + Absorption + SelfControl + Congruence + Interest + Control + IncStructResources + DecHinderDemands + IncChallengeDemands + IncSocialResources + Resilience + Optimism
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
+<pre>/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:1634: UserWarning: Random effects covariance is singular
+  warnings.warn(msg)
+/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.
+  warnings.warn(msg, ConvergenceWarning)
+&lt;ipython-input-51-b9bb0bc68d69&gt;:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  while fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].shape[0] &gt; 0:
+&lt;ipython-input-51-b9bb0bc68d69&gt;:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  feature_to_drop = fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].sort_values(by = &#34;P&gt;|z|&#34;).tail(drop_amount).index.tolist()
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + RelatedFrust + Vigor + Dedication + Absorption + SelfControl + Interest + Control + IncStructResources + DecHinderDemands + IncChallengeDemands + IncSocialResources + Resilience + Optimism
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
+<pre>/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.
+  warnings.warn(msg, ConvergenceWarning)
+&lt;ipython-input-51-b9bb0bc68d69&gt;:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  while fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].shape[0] &gt; 0:
+&lt;ipython-input-51-b9bb0bc68d69&gt;:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  feature_to_drop = fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].sort_values(by = &#34;P&gt;|z|&#34;).tail(drop_amount).index.tolist()
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + Vigor + Dedication + Absorption + SelfControl + Interest + Control + IncStructResources + DecHinderDemands + IncChallengeDemands + IncSocialResources + Resilience + Optimism
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
+<pre>/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.
+  warnings.warn(msg, ConvergenceWarning)
+&lt;ipython-input-51-b9bb0bc68d69&gt;:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  while fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].shape[0] &gt; 0:
+&lt;ipython-input-51-b9bb0bc68d69&gt;:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  feature_to_drop = fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].sort_values(by = &#34;P&gt;|z|&#34;).tail(drop_amount).index.tolist()
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + Vigor + Dedication + Absorption + Interest + Control + IncStructResources + DecHinderDemands + IncChallengeDemands + IncSocialResources + Resilience + Optimism
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
+<pre>/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.
+  warnings.warn(msg, ConvergenceWarning)
+&lt;ipython-input-51-b9bb0bc68d69&gt;:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  while fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].shape[0] &gt; 0:
+&lt;ipython-input-51-b9bb0bc68d69&gt;:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  feature_to_drop = fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].sort_values(by = &#34;P&gt;|z|&#34;).tail(drop_amount).index.tolist()
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + Vigor + Dedication + Absorption + Interest + Control + IncStructResources + DecHinderDemands + IncSocialResources + Resilience + Optimism
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
+<pre>/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:1634: UserWarning: Random effects covariance is singular
+  warnings.warn(msg)
+/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/base/model.py:566: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals
+  warnings.warn(&#34;Maximum Likelihood optimization failed to &#34;
+/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2206: ConvergenceWarning: MixedLM optimization failed, trying a different optimizer may help.
+  warnings.warn(msg, ConvergenceWarning)
+/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2218: ConvergenceWarning: Gradient optimization failed, |grad| = 0.002142
+  warnings.warn(msg, ConvergenceWarning)
+/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.
+  warnings.warn(msg, ConvergenceWarning)
+&lt;ipython-input-51-b9bb0bc68d69&gt;:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  while fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].shape[0] &gt; 0:
+&lt;ipython-input-51-b9bb0bc68d69&gt;:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  feature_to_drop = fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].sort_values(by = &#34;P&gt;|z|&#34;).tail(drop_amount).index.tolist()
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + Vigor + Dedication + Absorption + Control + IncStructResources + DecHinderDemands + IncSocialResources + Resilience + Optimism
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
+<pre>/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.
+  warnings.warn(msg, ConvergenceWarning)
+&lt;ipython-input-51-b9bb0bc68d69&gt;:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  while fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].shape[0] &gt; 0:
+&lt;ipython-input-51-b9bb0bc68d69&gt;:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  feature_to_drop = fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].sort_values(by = &#34;P&gt;|z|&#34;).tail(drop_amount).index.tolist()
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + Vigor + Dedication + Absorption + Control + IncStructResources + DecHinderDemands + IncSocialResources + Resilience
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
+<pre>/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.
+  warnings.warn(msg, ConvergenceWarning)
+&lt;ipython-input-51-b9bb0bc68d69&gt;:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  while fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].shape[0] &gt; 0:
+&lt;ipython-input-51-b9bb0bc68d69&gt;:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  feature_to_drop = fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].sort_values(by = &#34;P&gt;|z|&#34;).tail(drop_amount).index.tolist()
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + Vigor + Dedication + Absorption + Control + IncStructResources + DecHinderDemands + Resilience
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
+<pre>/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.
+  warnings.warn(msg, ConvergenceWarning)
+&lt;ipython-input-51-b9bb0bc68d69&gt;:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  while fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].shape[0] &gt; 0:
+&lt;ipython-input-51-b9bb0bc68d69&gt;:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  feature_to_drop = fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].sort_values(by = &#34;P&gt;|z|&#34;).tail(drop_amount).index.tolist()
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + Vigor + Dedication + Absorption + IncStructResources + DecHinderDemands + Resilience
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
+<pre>/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.
+  warnings.warn(msg, ConvergenceWarning)
+&lt;ipython-input-51-b9bb0bc68d69&gt;:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  while fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].shape[0] &gt; 0:
+&lt;ipython-input-51-b9bb0bc68d69&gt;:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  feature_to_drop = fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].sort_values(by = &#34;P&gt;|z|&#34;).tail(drop_amount).index.tolist()
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + Dedication + Absorption + IncStructResources + DecHinderDemands + Resilience
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
+<pre>/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.
+  warnings.warn(msg, ConvergenceWarning)
+&lt;ipython-input-51-b9bb0bc68d69&gt;:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  while fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].shape[0] &gt; 0:
+&lt;ipython-input-51-b9bb0bc68d69&gt;:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  feature_to_drop = fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].sort_values(by = &#34;P&gt;|z|&#34;).tail(drop_amount).index.tolist()
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + Dedication + Absorption + IncStructResources + DecHinderDemands
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
+<pre>/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.
+  warnings.warn(msg, ConvergenceWarning)
+&lt;ipython-input-51-b9bb0bc68d69&gt;:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  while fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].shape[0] &gt; 0:
+&lt;ipython-input-51-b9bb0bc68d69&gt;:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  feature_to_drop = fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].sort_values(by = &#34;P&gt;|z|&#34;).tail(drop_amount).index.tolist()
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + AutonomyFrust + CompetenceFrust + Dedication + Absorption + IncStructResources + DecHinderDemands
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
+<pre>/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.
+  warnings.warn(msg, ConvergenceWarning)
+&lt;ipython-input-51-b9bb0bc68d69&gt;:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  while fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].shape[0] &gt; 0:
+&lt;ipython-input-51-b9bb0bc68d69&gt;:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  feature_to_drop = fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].sort_values(by = &#34;P&gt;|z|&#34;).tail(drop_amount).index.tolist()
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + AutonomyFrust + CompetenceFrust + Dedication + IncStructResources + DecHinderDemands
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
+<pre>/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.
+  warnings.warn(msg, ConvergenceWarning)
+&lt;ipython-input-51-b9bb0bc68d69&gt;:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
+  while fixed_effect_output_no_empty.drop(&#34;Intercept&#34;)[fixed_effect_output_no_empty[&#34;P&gt;|z|&#34;] &gt; cutoff].shape[0] &gt; 0:
+</pre>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[52]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">mdf</span><span class="o">.</span><span class="n">summary</span><span class="p">())</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>            Mixed Linear Model Regression Results
+=============================================================
+Model:               MixedLM   Dependent Variable:   RAI     
+No. Observations:    180       Method:               REML    
+No. Groups:          94        Scale:                0.0029  
+Min. group size:     1         Log-Likelihood:       192.6853
+Max. group size:     3         Converged:            Yes     
+Mean group size:     1.9                                     
+-------------------------------------------------------------
+                   Coef.  Std.Err.   z    P&gt;|z| [0.025 0.975]
+-------------------------------------------------------------
+Intercept           0.269    0.044  6.180 0.000  0.184  0.355
+ExternalSocial     -0.103    0.033 -3.066 0.002 -0.168 -0.037
+ExternalMaterial   -0.115    0.032 -3.608 0.000 -0.177 -0.053
+AutonomySat         0.246    0.050  4.948 0.000  0.148  0.343
+CompetenceSat       0.124    0.030  4.143 0.000  0.066  0.183
+AutonomyFrust      -0.127    0.036 -3.498 0.000 -0.198 -0.056
+CompetenceFrust     0.116    0.034  3.412 0.001  0.049  0.182
+Dedication          0.194    0.029  6.767 0.000  0.138  0.250
+IncStructResources  0.129    0.015  8.408 0.000  0.099  0.159
+DecHinderDemands   -0.090    0.015 -6.204 0.000 -0.119 -0.062
+Group Var           0.002                                    
+Group x TIME Cov    0.000                                    
+TIME Var            0.000                                    
+=============================================================
+
+</pre>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[53]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># top_feature = fixed_effect_output_no_empty.sort_values(&quot;P&gt;|z|&quot;).drop(&quot;Intercept&quot;).head(1).index.tolist()[0]</span>
+<span class="c1"># top_feature</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[54]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">top_feature</span> <span class="o">=</span> <span class="s2">&quot;Dedication&quot;</span> <span class="c1">#based on top correlation</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[55]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">md</span> <span class="o">=</span> <span class="n">smf</span><span class="o">.</span><span class="n">mixedlm</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">target_name</span><span class="si">}</span><span class="s2"> ~ </span><span class="si">{</span><span class="n">top_feature</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">trans_df</span><span class="p">,</span> <span class="n">groups</span><span class="o">=</span><span class="n">trans_df</span><span class="p">[</span><span class="s2">&quot;User&quot;</span><span class="p">],</span> <span class="n">re_formula</span><span class="o">=</span><span class="s2">&quot;~TIME&quot;</span><span class="p">,</span> <span class="n">missing</span><span class="o">=</span><span class="s2">&quot;drop&quot;</span><span class="p">)</span>
+<span class="n">mdf</span> <span class="o">=</span> <span class="n">md</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">method</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;lbfgs&quot;</span><span class="p">])</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
+<pre>/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.
+  warnings.warn(msg, ConvergenceWarning)
+</pre>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[56]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">mdf</span><span class="o">.</span><span class="n">summary</span><span class="p">())</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>          Mixed Linear Model Regression Results
+==========================================================
+Model:              MixedLM  Dependent Variable:  RAI     
+No. Observations:   210      Method:              REML    
+No. Groups:         105      Scale:               0.0051  
+Min. group size:    1        Log-Likelihood:      172.0057
+Max. group size:    3        Converged:           Yes     
+Mean group size:    2.0                                   
+----------------------------------------------------------
+                 Coef. Std.Err.   z    P&gt;|z| [0.025 0.975]
+----------------------------------------------------------
+Intercept        0.285    0.033  8.773 0.000  0.222  0.349
+Dedication       0.432    0.040 10.786 0.000  0.354  0.511
+Group Var        0.007    0.123                           
+Group x TIME Cov 0.001    0.042                           
+TIME Var         0.000    0.023                           
+==========================================================
+
+</pre>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[57]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">axs</span> <span class="o">=</span> <span class="n">diagnostic_plots</span><span class="p">(</span><span class="n">model_fit</span><span class="o">=</span><span class="n">mdf</span><span class="p">,</span>
+                                             <span class="n">X</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+                                             <span class="n">y</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+                                             <span class="n">figsize</span> <span class="o">=</span> <span class="p">(</span><span class="mi">8</span><span class="p">,</span><span class="mi">8</span><span class="p">),</span>
+                                             <span class="n">limit_cooks_plot</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+                                             <span class="n">subplot_adjust_args</span><span class="o">=</span><span class="p">{</span><span class="s2">&quot;wspace&quot;</span><span class="p">:</span> <span class="mf">0.3</span><span class="p">,</span> <span class="s2">&quot;hspace&quot;</span><span class="p">:</span> <span class="mf">0.3</span><span class="p">}</span>
+                                            <span class="p">)</span>
+<span class="n">fig</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;images/</span><span class="si">{</span><span class="n">target_name</span><span class="si">}</span><span class="s2">_</span><span class="si">{</span><span class="n">top_feature</span><span class="si">}</span><span class="s2">_model_diagnostics.png&quot;</span><span class="p">,</span> <span class="n">dpi</span><span class="o">=</span><span class="mi">400</span><span class="p">,</span> <span class="nb">format</span><span class="o">=</span><span class="s2">&quot;png&quot;</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+
+
+<div class="jp-RenderedImage jp-OutputArea-output ">
+<img 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
+"
+>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[59]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_test</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s2">&quot;User&quot;</span><span class="p">:</span> <span class="n">trans_df</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">mdf</span><span class="o">.</span><span class="n">fittedvalues</span><span class="o">.</span><span class="n">index</span><span class="p">,</span> <span class="s2">&quot;User&quot;</span><span class="p">],</span>
+    <span class="s2">&quot;fitted&quot;</span><span class="p">:</span> <span class="n">mdf</span><span class="o">.</span><span class="n">fittedvalues</span><span class="p">,</span>
+              <span class="n">target_name</span><span class="p">:</span> <span class="n">trans_df</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">mdf</span><span class="o">.</span><span class="n">fittedvalues</span><span class="o">.</span><span class="n">index</span><span class="p">,</span> <span class="n">target_name</span><span class="p">]})</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s2">&quot;User&quot;</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[60]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">30</span><span class="p">,</span><span class="mi">6</span><span class="p">))</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Linear Mixed Model | Outcome Measure == </span><span class="si">{</span><span class="n">target_name</span><span class="si">}</span><span class="s2"> | RMSE = </span><span class="si">{</span><span class="nb">round</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">mean_squared_error</span><span class="p">(</span><span class="n">df_test</span><span class="p">[</span><span class="s1">&#39;fitted&#39;</span><span class="p">],</span> <span class="n">df_test</span><span class="p">[</span><span class="n">target_name</span><span class="p">])),</span><span class="mi">2</span><span class="p">)</span><span class="si">}</span><span class="s2"> | bias Error = </span><span class="si">{</span> <span class="nb">round</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_test</span><span class="p">[</span><span class="s1">&#39;fitted&#39;</span><span class="p">]</span> <span class="o">-</span> <span class="n">df_test</span><span class="p">[</span><span class="n">target_name</span><span class="p">]),</span> <span class="mi">2</span><span class="p">)</span><span class="si">}</span><span class="s2"> &quot;</span><span class="p">)</span>
+<span class="n">markerline</span><span class="p">,</span> <span class="n">stemlines</span><span class="p">,</span> <span class="n">baseline</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">stem</span><span class="p">(</span><span class="n">df_test</span><span class="o">.</span><span class="n">index</span><span class="p">,</span> <span class="n">df_test</span><span class="p">[</span><span class="s1">&#39;fitted&#39;</span><span class="p">]</span> <span class="o">-</span> <span class="n">df_test</span><span class="p">[</span><span class="n">target_name</span><span class="p">],</span> <span class="n">use_line_collection</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">linefmt</span><span class="o">=</span><span class="s2">&quot;black&quot;</span><span class="p">,</span> <span class="n">markerfmt</span><span class="o">=</span><span class="s1">&#39;D&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">setp</span><span class="p">(</span><span class="n">markerline</span><span class="p">,</span> <span class="s2">&quot;alpha&quot;</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">hlines</span><span class="p">(</span><span class="n">y</span><span class="o">=</span><span class="nb">round</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">mean_squared_error</span><span class="p">(</span><span class="n">df_test</span><span class="p">[</span><span class="s1">&#39;fitted&#39;</span><span class="p">],</span> <span class="n">df_test</span><span class="p">[</span><span class="n">target_name</span><span class="p">])),</span><span class="mi">2</span><span class="p">),</span> <span class="n">colors</span><span class="o">=</span><span class="s2">&quot;grey&quot;</span><span class="p">,</span> <span class="n">linestyles</span><span class="o">=</span><span class="s1">&#39;-.&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;+ RMSE&#39;</span><span class="p">,</span> 
+           <span class="n">xmin</span> <span class="o">=</span> <span class="n">df_test</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">xmax</span> <span class="o">=</span> <span class="s2">&quot;Moti201&quot;</span>
+          <span class="p">)</span> 
+<span class="n">plt</span><span class="o">.</span><span class="n">hlines</span><span class="p">(</span><span class="n">y</span><span class="o">=</span><span class="nb">round</span><span class="p">(</span><span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">mean_squared_error</span><span class="p">(</span><span class="n">df_test</span><span class="p">[</span><span class="s1">&#39;fitted&#39;</span><span class="p">],</span> <span class="n">df_test</span><span class="p">[</span><span class="n">target_name</span><span class="p">])),</span><span class="mi">2</span><span class="p">),</span> <span class="n">colors</span><span class="o">=</span><span class="s2">&quot;grey&quot;</span><span class="p">,</span> <span class="n">linestyles</span><span class="o">=</span><span class="s1">&#39;-.&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;- RMSE&#39;</span><span class="p">,</span> 
+            <span class="n">xmin</span> <span class="o">=</span> <span class="n">df_test</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">xmax</span> <span class="o">=</span> <span class="s2">&quot;Moti201&quot;</span>
+          <span class="p">)</span> 
+<span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="n">rotation</span><span class="o">=</span><span class="mi">90</span><span class="p">,</span> <span class="n">ticks</span><span class="o">=</span><span class="n">df_test</span><span class="o">.</span><span class="n">index</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;&#39;Error = fitted values - real </span><span class="si">{</span><span class="n">target_name</span><span class="si">}</span><span class="s2">&#39;&quot;</span><span class="p">)</span>
+<span class="c1"># plt.ylim([-.5,.6])</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;images/</span><span class="si">{</span><span class="n">target_name</span><span class="si">}</span><span class="s2">_fitted_RMSE_plot.png&quot;</span><span class="p">,</span> <span class="n">dpi</span><span class="o">=</span><span class="mi">400</span><span class="p">,</span> <span class="nb">format</span><span class="o">=</span><span class="s2">&quot;png&quot;</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+
+
+<div class="jp-RenderedImage jp-OutputArea-output ">
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
+"
+>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[61]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">trans_df</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">mdf</span><span class="o">.</span><span class="n">fittedvalues</span><span class="o">.</span><span class="n">index</span><span class="p">,</span> <span class="n">target_name</span><span class="p">]</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">trans_df</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">mdf</span><span class="o">.</span><span class="n">fittedvalues</span><span class="o">.</span><span class="n">index</span><span class="p">,</span> <span class="n">target_name</span><span class="p">]</span><span class="o">.</span><span class="n">max</span><span class="p">()</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[61]:</div>
+
+
+
+
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<pre>(0.0, 1.0)</pre>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[62]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fit_errors_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s2">&quot;RMSE&quot;</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">mean_squared_error</span><span class="p">(</span><span class="n">df_test</span><span class="p">[</span><span class="s1">&#39;fitted&#39;</span><span class="p">],</span> <span class="n">df_test</span><span class="p">[</span><span class="n">target_name</span><span class="p">])),</span> 
+              <span class="s2">&quot;MAE&quot;</span><span class="p">:</span> <span class="n">mean_absolute_error</span><span class="p">(</span><span class="n">df_test</span><span class="p">[</span><span class="s1">&#39;fitted&#39;</span><span class="p">],</span> <span class="n">df_test</span><span class="p">[</span><span class="n">target_name</span><span class="p">]),</span>
+              <span class="s2">&quot;bias error&quot;</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_test</span><span class="p">[</span><span class="s1">&#39;fitted&#39;</span><span class="p">]</span> <span class="o">-</span> <span class="n">df_test</span><span class="p">[</span><span class="n">target_name</span><span class="p">])},</span>
+              <span class="n">index</span><span class="o">=</span><span class="p">[</span><span class="n">target_name</span><span class="p">])</span>
+<span class="n">fit_errors_df</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[62]:</div>
+
+
+
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>RMSE</th>
+      <th>MAE</th>
+      <th>bias error</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>RAI</th>
+      <td>0.06</td>
+      <td>0.04</td>
+      <td>0.0</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[63]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">_</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">lmplot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">top_feature</span><span class="p">,</span> 
+               <span class="n">y</span><span class="o">=</span><span class="n">target_name</span><span class="p">,</span> 
+               <span class="n">hue</span><span class="o">=</span><span class="s2">&quot;TIME&quot;</span><span class="p">,</span> 
+               <span class="n">data</span><span class="o">=</span><span class="n">trans_df</span><span class="p">,</span>
+               <span class="n">ci</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+               <span class="n">scatter_kws</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;s&#39;</span><span class="p">:</span><span class="mi">100</span><span class="p">},</span> 
+               <span class="n">height</span><span class="o">=</span><span class="mi">6</span><span class="p">,</span> 
+               <span class="n">aspect</span><span class="o">=</span><span class="mf">1.5</span><span class="p">,</span>
+              <span class="n">legend</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">regplot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">top_feature</span><span class="p">,</span> 
+                <span class="n">y</span><span class="o">=</span><span class="n">target_name</span><span class="p">,</span> 
+                <span class="n">data</span><span class="o">=</span><span class="n">trans_df</span><span class="p">,</span>
+                <span class="n">color</span><span class="o">=</span><span class="s2">&quot;black&quot;</span><span class="p">,</span> 
+                <span class="n">scatter_kws</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;s&#39;</span><span class="p">:</span> <span class="mi">20</span><span class="p">},</span> 
+                <span class="n">line_kws</span><span class="o">=</span><span class="p">{</span><span class="s2">&quot;linestyle&quot;</span><span class="p">:</span> <span class="s2">&quot;--&quot;</span><span class="p">})</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">target_name</span><span class="si">}</span><span class="s2"> vs </span><span class="si">{</span><span class="n">top_feature</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;_&#39;</span><span class="p">,</span> <span class="s1">&#39; &#39;</span><span class="p">)</span><span class="o">.</span><span class="n">title</span><span class="p">()</span><span class="si">}</span><span class="se">\n</span><span class="s2">black line is the regression line of the group | coloured lines are regression lines within TIME&quot;</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+
+
+<div class="jp-RenderedImage jp-OutputArea-output ">
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
+"
+>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[64]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">_</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">lmplot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">top_feature</span><span class="p">,</span> 
+               <span class="n">y</span><span class="o">=</span><span class="n">target_name</span><span class="p">,</span> 
+               <span class="n">hue</span><span class="o">=</span><span class="s2">&quot;User&quot;</span><span class="p">,</span> 
+               <span class="n">data</span><span class="o">=</span><span class="n">trans_df</span><span class="p">,</span>
+               <span class="n">ci</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+               <span class="n">scatter_kws</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;s&#39;</span><span class="p">:</span><span class="mi">100</span><span class="p">},</span> 
+               <span class="n">height</span><span class="o">=</span><span class="mi">6</span><span class="p">,</span> 
+               <span class="n">aspect</span><span class="o">=</span><span class="mf">1.5</span><span class="p">,</span>
+              <span class="n">legend</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">regplot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">top_feature</span><span class="p">,</span> 
+                <span class="n">y</span><span class="o">=</span><span class="n">target_name</span><span class="p">,</span> 
+                <span class="n">data</span><span class="o">=</span><span class="n">trans_df</span><span class="p">,</span>
+                <span class="n">color</span><span class="o">=</span><span class="s2">&quot;black&quot;</span><span class="p">,</span> 
+                <span class="n">scatter_kws</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;s&#39;</span><span class="p">:</span> <span class="mi">20</span><span class="p">},</span> 
+                <span class="n">line_kws</span><span class="o">=</span><span class="p">{</span><span class="s2">&quot;linestyle&quot;</span><span class="p">:</span> <span class="s2">&quot;--&quot;</span><span class="p">})</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">target_name</span><span class="si">}</span><span class="s2"> vs </span><span class="si">{</span><span class="n">top_feature</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;_&#39;</span><span class="p">,</span> <span class="s1">&#39; &#39;</span><span class="p">)</span><span class="o">.</span><span class="n">title</span><span class="p">()</span><span class="si">}</span><span class="se">\n</span><span class="s2">black line is the regression line of the group | coloured lines are regression lines within User&quot;</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+
+
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+<img 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
+"
+>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<h1 id="Create-a-train-and-test-set,-use-a-fitted-model-to-predict-previously-unseen-rows-(this-is-not-controlled-for-user)">Create a train and test set, use a fitted model to predict previously unseen rows (this is not controlled for user)<a class="anchor-link" href="#Create-a-train-and-test-set,-use-a-fitted-model-to-predict-previously-unseen-rows-(this-is-not-controlled-for-user)">&#182;</a></h1>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[65]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">top_feature</span> <span class="o">=</span> <span class="s2">&quot;Dedication&quot;</span> <span class="c1">#based on top correlation</span>
+
+<span class="n">x_train_index</span> <span class="o">=</span> <span class="n">trans_df</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="n">frac</span><span class="o">=</span><span class="mf">0.8</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">42</span><span class="p">)</span><span class="o">.</span><span class="n">index</span>
+
+<span class="n">x_test_index</span> <span class="o">=</span> <span class="n">trans_df</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">x_train_index</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span><span class="o">.</span><span class="n">index</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[66]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">md</span> <span class="o">=</span> <span class="n">smf</span><span class="o">.</span><span class="n">mixedlm</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">target_name</span><span class="si">}</span><span class="s2"> ~ </span><span class="si">{</span><span class="n">top_feature</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">trans_df</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">x_train_index</span><span class="p">,</span> <span class="p">:],</span> <span class="n">groups</span><span class="o">=</span><span class="n">trans_df</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">x_train_index</span><span class="p">,</span> <span class="s2">&quot;User&quot;</span><span class="p">],</span> <span class="n">re_formula</span><span class="o">=</span><span class="s2">&quot;~TIME&quot;</span><span class="p">,</span> <span class="n">missing</span><span class="o">=</span><span class="s2">&quot;drop&quot;</span><span class="p">)</span>
+<span class="n">mdf</span> <span class="o">=</span> <span class="n">md</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">method</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;lbfgs&quot;</span><span class="p">])</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="application/vnd.jupyter.stderr">
+<pre>/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/base/model.py:566: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals
+  warnings.warn(&#34;Maximum Likelihood optimization failed to &#34;
+/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2206: ConvergenceWarning: MixedLM optimization failed, trying a different optimizer may help.
+  warnings.warn(msg, ConvergenceWarning)
+/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2218: ConvergenceWarning: Gradient optimization failed, |grad| = 0.933821
+  warnings.warn(msg, ConvergenceWarning)
+/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.
+  warnings.warn(msg, ConvergenceWarning)
+</pre>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[67]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">mdf</span><span class="o">.</span><span class="n">summary</span><span class="p">())</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>          Mixed Linear Model Regression Results
+=========================================================
+Model:             MixedLM  Dependent Variable:  RAI     
+No. Observations:  167      Method:              REML    
+No. Groups:        97       Scale:               0.0043  
+Min. group size:   1        Log-Likelihood:      140.8881
+Max. group size:   3        Converged:           No      
+Mean group size:   1.7                                   
+---------------------------------------------------------
+                 Coef. Std.Err.   z   P&gt;|z| [0.025 0.975]
+---------------------------------------------------------
+Intercept        0.318    0.036 8.835 0.000  0.248  0.389
+Dedication       0.397    0.044 9.099 0.000  0.312  0.483
+Group Var        0.007    0.095                          
+Group x TIME Cov 0.001    0.027                          
+TIME Var         0.000    0.014                          
+=========================================================
+
+</pre>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[68]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_test</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s2">&quot;User&quot;</span><span class="p">:</span> <span class="n">trans_df</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">x_test_index</span><span class="p">,</span> <span class="s2">&quot;User&quot;</span><span class="p">],</span>
+    <span class="s2">&quot;predicted&quot;</span><span class="p">:</span> <span class="n">mdf</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">trans_df</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">x_test_index</span><span class="p">,</span> <span class="s2">&quot;Dedication&quot;</span><span class="p">]),</span>
+              <span class="n">target_name</span><span class="p">:</span> <span class="n">trans_df</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">x_test_index</span><span class="p">,</span> <span class="n">target_name</span><span class="p">]})</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s2">&quot;User&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[69]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">30</span><span class="p">,</span><span class="mi">6</span><span class="p">))</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Linear Mixed Model | Outcome Measure == </span><span class="si">{</span><span class="n">target_name</span><span class="si">}</span><span class="s2"> | RMSE = </span><span class="si">{</span><span class="nb">round</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">mean_squared_error</span><span class="p">(</span><span class="n">df_test</span><span class="p">[</span><span class="s1">&#39;predicted&#39;</span><span class="p">],</span> <span class="n">df_test</span><span class="p">[</span><span class="n">target_name</span><span class="p">])),</span><span class="mi">2</span><span class="p">)</span><span class="si">}</span><span class="s2"> | bias Error = </span><span class="si">{</span> <span class="nb">round</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_test</span><span class="p">[</span><span class="s1">&#39;predicted&#39;</span><span class="p">]</span> <span class="o">-</span> <span class="n">df_test</span><span class="p">[</span><span class="n">target_name</span><span class="p">]),</span> <span class="mi">2</span><span class="p">)</span><span class="si">}</span><span class="s2"> &quot;</span><span class="p">)</span>
+<span class="n">markerline</span><span class="p">,</span> <span class="n">stemlines</span><span class="p">,</span> <span class="n">baseline</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">stem</span><span class="p">(</span><span class="n">df_test</span><span class="o">.</span><span class="n">index</span><span class="p">,</span> <span class="n">df_test</span><span class="p">[</span><span class="s1">&#39;predicted&#39;</span><span class="p">]</span> <span class="o">-</span> <span class="n">df_test</span><span class="p">[</span><span class="n">target_name</span><span class="p">],</span> <span class="n">use_line_collection</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">linefmt</span><span class="o">=</span><span class="s2">&quot;black&quot;</span><span class="p">,</span> <span class="n">markerfmt</span><span class="o">=</span><span class="s1">&#39;D&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">setp</span><span class="p">(</span><span class="n">markerline</span><span class="p">,</span> <span class="s2">&quot;alpha&quot;</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">hlines</span><span class="p">(</span><span class="n">y</span><span class="o">=</span><span class="nb">round</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">mean_squared_error</span><span class="p">(</span><span class="n">df_test</span><span class="p">[</span><span class="s1">&#39;predicted&#39;</span><span class="p">],</span> <span class="n">df_test</span><span class="p">[</span><span class="n">target_name</span><span class="p">])),</span><span class="mi">2</span><span class="p">),</span> <span class="n">colors</span><span class="o">=</span><span class="s2">&quot;grey&quot;</span><span class="p">,</span> <span class="n">linestyles</span><span class="o">=</span><span class="s1">&#39;-.&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;+ RMSE&#39;</span><span class="p">,</span> 
+           <span class="n">xmin</span> <span class="o">=</span> <span class="n">df_test</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">xmax</span> <span class="o">=</span> <span class="s2">&quot;Moti201&quot;</span>
+          <span class="p">)</span> 
+<span class="n">plt</span><span class="o">.</span><span class="n">hlines</span><span class="p">(</span><span class="n">y</span><span class="o">=</span><span class="nb">round</span><span class="p">(</span><span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">mean_squared_error</span><span class="p">(</span><span class="n">df_test</span><span class="p">[</span><span class="s1">&#39;predicted&#39;</span><span class="p">],</span> <span class="n">df_test</span><span class="p">[</span><span class="n">target_name</span><span class="p">])),</span><span class="mi">2</span><span class="p">),</span> <span class="n">colors</span><span class="o">=</span><span class="s2">&quot;grey&quot;</span><span class="p">,</span> <span class="n">linestyles</span><span class="o">=</span><span class="s1">&#39;-.&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;- RMSE&#39;</span><span class="p">,</span> 
+            <span class="n">xmin</span> <span class="o">=</span> <span class="n">df_test</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">xmax</span> <span class="o">=</span> <span class="s2">&quot;Moti201&quot;</span>
+          <span class="p">)</span> 
+<span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="n">rotation</span><span class="o">=</span><span class="mi">90</span><span class="p">,</span> <span class="n">ticks</span><span class="o">=</span><span class="n">df_test</span><span class="o">.</span><span class="n">index</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;&#39;Error = predicted values - real </span><span class="si">{</span><span class="n">target_name</span><span class="si">}</span><span class="s2">&#39;&quot;</span><span class="p">)</span>
+<span class="c1"># plt.ylim([-.5,.6])</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;images/</span><span class="si">{</span><span class="n">target_name</span><span class="si">}</span><span class="s2">_pred_test_RMSE_plot.png&quot;</span><span class="p">,</span> <span class="n">dpi</span><span class="o">=</span><span class="mi">400</span><span class="p">,</span> <span class="nb">format</span><span class="o">=</span><span class="s2">&quot;png&quot;</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
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+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+
+
+<div class="jp-RenderedImage jp-OutputArea-output ">
+<img 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+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[70]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fit_errors_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s2">&quot;RMSE&quot;</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">mean_squared_error</span><span class="p">(</span><span class="n">df_test</span><span class="p">[</span><span class="s1">&#39;predicted&#39;</span><span class="p">],</span> <span class="n">df_test</span><span class="p">[</span><span class="n">target_name</span><span class="p">])),</span> 
+              <span class="s2">&quot;MAE&quot;</span><span class="p">:</span> <span class="n">mean_absolute_error</span><span class="p">(</span><span class="n">df_test</span><span class="p">[</span><span class="s1">&#39;predicted&#39;</span><span class="p">],</span> <span class="n">df_test</span><span class="p">[</span><span class="n">target_name</span><span class="p">]),</span>
+              <span class="s2">&quot;bias error&quot;</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">df_test</span><span class="p">[</span><span class="s1">&#39;predicted&#39;</span><span class="p">]</span> <span class="o">-</span> <span class="n">df_test</span><span class="p">[</span><span class="n">target_name</span><span class="p">])},</span>
+              <span class="n">index</span><span class="o">=</span><span class="p">[</span><span class="n">target_name</span><span class="p">])</span>
+<span class="n">fit_errors_df</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[70]:</div>
+
+
+
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>RMSE</th>
+      <th>MAE</th>
+      <th>bias error</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>RAI</th>
+      <td>0.14</td>
+      <td>0.1</td>
+      <td>0.01</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<h1 id="Users-included-in-the-training-set">Users included in the training set<a class="anchor-link" href="#Users-included-in-the-training-set">&#182;</a></h1>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[84]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">trans_df</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">x_train_index</span><span class="p">,</span> <span class="p">:]</span><span class="o">.</span><span class="n">User</span><span class="o">.</span><span class="n">sort_values</span><span class="p">()</span><span class="o">.</span><span class="n">unique</span><span class="p">()</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[84]:</div>
+
+
+
+
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<pre>array([&#39;AAMoti?1&#39;, &#39;AAMoti?4&#39;, &#39;AAMoti?5&#39;, &#39;AAMoti?6&#39;, &#39;Moti105&#39;,
+       &#39;Moti106&#39;, &#39;Moti108&#39;, &#39;Moti109&#39;, &#39;Moti110&#39;, &#39;Moti111&#39;, &#39;Moti112&#39;,
+       &#39;Moti113&#39;, &#39;Moti114&#39;, &#39;Moti115&#39;, &#39;Moti116&#39;, &#39;Moti117&#39;, &#39;Moti118&#39;,
+       &#39;Moti119&#39;, &#39;Moti120&#39;, &#39;Moti121&#39;, &#39;Moti122&#39;, &#39;Moti123&#39;, &#39;Moti125&#39;,
+       &#39;Moti126&#39;, &#39;Moti127&#39;, &#39;Moti128&#39;, &#39;Moti129&#39;, &#39;Moti130&#39;, &#39;Moti131&#39;,
+       &#39;Moti132&#39;, &#39;Moti134&#39;, &#39;Moti135&#39;, &#39;Moti137&#39;, &#39;Moti138&#39;, &#39;Moti140&#39;,
+       &#39;Moti141&#39;, &#39;Moti143&#39;, &#39;Moti144&#39;, &#39;Moti146&#39;, &#39;Moti147&#39;, &#39;Moti148&#39;,
+       &#39;Moti149&#39;, &#39;Moti150&#39;, &#39;Moti151&#39;, &#39;Moti152&#39;, &#39;Moti153&#39;, &#39;Moti154&#39;,
+       &#39;Moti155&#39;, &#39;Moti156&#39;, &#39;Moti157&#39;, &#39;Moti159&#39;, &#39;Moti160&#39;, &#39;Moti161&#39;,
+       &#39;Moti162&#39;, &#39;Moti163&#39;, &#39;Moti164&#39;, &#39;Moti165&#39;, &#39;Moti166&#39;, &#39;Moti167&#39;,
+       &#39;Moti168&#39;, &#39;Moti169&#39;, &#39;Moti170&#39;, &#39;Moti171&#39;, &#39;Moti172&#39;, &#39;Moti173&#39;,
+       &#39;Moti175&#39;, &#39;Moti176&#39;, &#39;Moti177&#39;, &#39;Moti178&#39;, &#39;Moti179&#39;, &#39;Moti180&#39;,
+       &#39;Moti181&#39;, &#39;Moti182&#39;, &#39;Moti183&#39;, &#39;Moti184&#39;, &#39;Moti185&#39;, &#39;Moti186&#39;,
+       &#39;Moti187&#39;, &#39;Moti188&#39;, &#39;Moti189&#39;, &#39;Moti190&#39;, &#39;Moti191&#39;, &#39;Moti192&#39;,
+       &#39;Moti193&#39;, &#39;Moti194&#39;, &#39;Moti195&#39;, &#39;Moti197&#39;, &#39;Moti198&#39;, &#39;Moti199&#39;,
+       &#39;Moti200&#39;, &#39;Moti202&#39;, &#39;Moti203&#39;, &#39;Moti205&#39;, &#39;Moti206&#39;, &#39;Moti207&#39;,
+       &#39;Moti208&#39;, &#39;Moti209&#39;, &#39;Moti212&#39;, &#39;Moti213&#39;, &#39;Moti215&#39;, &#39;Moti216&#39;,
+       &#39;Moti217&#39;, &#39;Moti218&#39;], dtype=object)</pre>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<h1 id="Users-included-in-the-test-set">Users included in the test set<a class="anchor-link" href="#Users-included-in-the-test-set">&#182;</a></h1>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[85]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">trans_df</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">x_test_index</span><span class="p">,</span> <span class="p">:]</span><span class="o">.</span><span class="n">User</span><span class="o">.</span><span class="n">sort_values</span><span class="p">()</span><span class="o">.</span><span class="n">unique</span><span class="p">()</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[85]:</div>
+
+
+
+
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<pre>array([&#39;AAMoti?2&#39;, &#39;Moti109&#39;, &#39;Moti110&#39;, &#39;Moti114&#39;, &#39;Moti115&#39;, &#39;Moti116&#39;,
+       &#39;Moti117&#39;, &#39;Moti118&#39;, &#39;Moti121&#39;, &#39;Moti122&#39;, &#39;Moti123&#39;, &#39;Moti127&#39;,
+       &#39;Moti143&#39;, &#39;Moti144&#39;, &#39;Moti145&#39;, &#39;Moti147&#39;, &#39;Moti150&#39;, &#39;Moti156&#39;,
+       &#39;Moti158&#39;, &#39;Moti160&#39;, &#39;Moti163&#39;, &#39;Moti164&#39;, &#39;Moti165&#39;, &#39;Moti167&#39;,
+       &#39;Moti168&#39;, &#39;Moti173&#39;, &#39;Moti178&#39;, &#39;Moti183&#39;, &#39;Moti187&#39;, &#39;Moti188&#39;,
+       &#39;Moti190&#39;, &#39;Moti191&#39;, &#39;Moti196&#39;, &#39;Moti201&#39;, &#39;Moti203&#39;, &#39;Moti204&#39;,
+       &#39;Moti207&#39;, &#39;Moti210&#39;, &#39;Moti211&#39;, &#39;Moti218&#39;], dtype=object)</pre>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div>
+<div class="jp-Cell-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<h1 id="Users-in-the-test-set-that-were-not-included-in-the-training-set">Users in the test set that were not included in the training set<a class="anchor-link" href="#Users-in-the-test-set-that-were-not-included-in-the-training-set">&#182;</a></h1>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[89]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># set(trans_df.loc[x_train_index, :].User.unique().tolist()) - set(trans_df.loc[x_test_index, :].User.unique().tolist())</span>
+<span class="nb">set</span><span class="p">(</span><span class="n">trans_df</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">x_test_index</span><span class="p">,</span> <span class="p">:]</span><span class="o">.</span><span class="n">User</span><span class="o">.</span><span class="n">unique</span><span class="p">()</span><span class="o">.</span><span class="n">tolist</span><span class="p">())</span> <span class="o">-</span> <span class="nb">set</span><span class="p">(</span><span class="n">trans_df</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">x_train_index</span><span class="p">,</span> <span class="p">:]</span><span class="o">.</span><span class="n">User</span><span class="o">.</span><span class="n">unique</span><span class="p">()</span><span class="o">.</span><span class="n">tolist</span><span class="p">())</span><span class="o">.</span><span class="n">intersection</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">trans_df</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">x_test_index</span><span class="p">,</span> <span class="p">:]</span><span class="o">.</span><span class="n">User</span><span class="o">.</span><span class="n">unique</span><span class="p">()</span><span class="o">.</span><span class="n">tolist</span><span class="p">()))</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[89]:</div>
+
+
+
+
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<pre>{&#39;AAMoti?2&#39;,
+ &#39;Moti145&#39;,
+ &#39;Moti158&#39;,
+ &#39;Moti196&#39;,
+ &#39;Moti201&#39;,
+ &#39;Moti204&#39;,
+ &#39;Moti210&#39;,
+ &#39;Moti211&#39;}</pre>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[90]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+     <div class="CodeMirror cm-s-jupyter">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="mf">0.14</span> <span class="o">-</span> <span class="mf">0.06</span>
+</pre></div>
+
+     </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
+
+<div class="jp-OutputArea-child">
+
+    
+    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[90]:</div>
+
+
+
+
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<pre>0.08000000000000002</pre>
+</div>
+
+</div>
+
+</div>
+
+</div>
+
+</div>
+</body>
+
+
+
+
+
+
+
+</html>
diff --git a/work_motivation_pre_mid_post_EDA.ipynb b/work_motivation_pre_mid_post_EDA.ipynb
new file mode 100644
index 0000000..37e80eb
--- /dev/null
+++ b/work_motivation_pre_mid_post_EDA.ipynb
@@ -0,0 +1,3423 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "interpreted-arthur",
+   "metadata": {},
+   "source": [
+    "# Work Motivation Under Lockdown Exploratory Data Analysis (EDA)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "attached-snowboard",
+   "metadata": {},
+   "source": [
+    "Two datasets...\n",
+    "\n",
+    "1. Post-workday evaluations of work motivation related stuff. Large spread across how many time points people collected; few decent-ish ones.\n",
+    "\n",
+    "2. Traditional questionnaires from the same participants. \n",
+    "    - Allocation indicates whether they took part in our motivation self-management training during the period or belonged to a waitlist control group.\n",
+    "    - Pre-, mid- and post-questionnaires --> TIME == 1, 2 and 3 respectively.\n",
+    "    - Everything from intrinsic1 to Psycap5 are raw answers. From Intrinsic to Optimism are sumscores.\n",
+    "    - This was a feasibility & acceptability study so it's not powered for or aiming to look at outcomes. But if there was one, it could be the \"Relative Autonomy Index\" (RAI), a sumscore conventionally built as: \n",
+    "        - Amotivation * -3 + ExternalTotal * -2 + Introjected * -1 + Identified * 2 + Intrinsic * 3\n",
+    "    - If I remember correctly, there were some people whose RAI was boosted a lot\n",
+    "    - In general:\n",
+    "        - Good things to go up during the intervention (or life in general):\n",
+    "            - Intrinsic, Identified\n",
+    "            - Competence, Relatedness, Autonomy\n",
+    "        - Bad things to go up during the intervention (or life in general):\n",
+    "            - Amotivation, External (material & social), Introjected\n",
+    "            - AutonomyThwarting, RelatednessThwarting, CompetenceThwarting\n",
+    "                - Unsure if these were named in the data, or just some of the items named autonomyx/relatednessx/competencex"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "original-accused",
+   "metadata": {},
+   "source": [
+    "# This EDA only addresses the daily data, specifically `data==\"data/moti_feasibility_james_daily.csv\"`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "peripheral-father",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "tmp = os.getcwd()\n",
+    "_ = os.chdir(tmp.split(\"Coding/\")[0] + \"Coding/data-science-core-develop\")\n",
+    "\n",
+    "from neuropy.correlation import (correlation_analysis, \n",
+    "                                 correlations_as_sample_increases, \n",
+    "                                plot_correlogram)\n",
+    "from neuropy.utils import tiny_summary\n",
+    "from neuropy.anomaly_detection import univariate_outlier_removal\n",
+    "from neuropy.frequentist_statistics import (analysis_independent_t_test,\n",
+    "                                            analysis_independent_mannwhitneyu_test,\n",
+    "                                            normal_check, \n",
+    "                                            find_optimal_transformation, \n",
+    "                                            apply_power_transformations,\n",
+    "                                           multiple_ICCs,\n",
+    "                                           bland_altman_plot_repeated,\n",
+    "                                           diagnostic_plots)\n",
+    "\n",
+    "_ = os.chdir(tmp)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "naked-target",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib.colors import LinearSegmentedColormap\n",
+    "import session_info\n",
+    "\n",
+    "# from jmspack.NLTSA import (flatten, \n",
+    "#                           ts_levels,\n",
+    "#                           fluctuation_intensity,\n",
+    "#                           distribution_uniformity,\n",
+    "#                           complexity_resonance,\n",
+    "#                           complexity_resonance_diagram)\n",
+    "\n",
+    "from sklearn.preprocessing import MinMaxScaler, StandardScaler\n",
+    "\n",
+    "from work_motivation_extras import *\n",
+    "\n",
+    "import statsmodels.api as sm\n",
+    "import statsmodels.formula.api as smf\n",
+    "\n",
+    "# Import the lmm model class\n",
+    "# from pymer4.models import Lmer\n",
+    "# from pymer4.stats import rsquared, rsquared_adj, vif\n",
+    "\n",
+    "# To use this experimental feature, we need to explicitly ask for it:\n",
+    "# from sklearn.experimental import enable_iterative_imputer  # noqa\n",
+    "# from sklearn.impute import IterativeImputer\n",
+    "# from sklearn.tree import DecisionTreeRegressor\n",
+    "# from sklearn.ensemble import ExtraTreesRegressor\n",
+    "# from sklearn.neighbors import KNeighborsRegressor\n",
+    "# from sklearn.pipeline import make_pipeline\n",
+    "\n",
+    "# from pyunicorn.timeseries import RecurrencePlot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "fitted-amazon",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.metrics import mean_squared_error, mean_absolute_error"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "attached-ministry",
+   "metadata": {},
+   "source": [
+    "Show the session information of the packages used in this analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "living-routine",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<details>\n",
+       "<summary>Click to view session information</summary>\n",
+       "<pre>\n",
+       "-----\n",
+       "matplotlib          3.3.4\n",
+       "neuropy             1.4.3\n",
+       "numpy               1.19.2\n",
+       "pandas              1.2.3\n",
+       "seaborn             0.11.1\n",
+       "session_info        1.0.0\n",
+       "sklearn             0.24.1\n",
+       "statsmodels         0.12.2\n",
+       "-----\n",
+       "</pre>\n",
+       "<details>\n",
+       "<summary>Click to view modules imported as dependencies</summary>\n",
+       "<pre>\n",
+       "PIL                         8.1.2\n",
+       "appnope                     0.1.2\n",
+       "backcall                    0.2.0\n",
+       "cffi                        1.14.5\n",
+       "colorama                    0.4.4\n",
+       "cycler                      0.10.0\n",
+       "cython_runtime              NA\n",
+       "dateutil                    2.8.1\n",
+       "decorator                   4.4.2\n",
+       "ipykernel                   5.3.4\n",
+       "ipython_genutils            0.2.0\n",
+       "ipywidgets                  7.6.3\n",
+       "jedi                        0.17.2\n",
+       "joblib                      0.17.0\n",
+       "kiwisolver                  1.3.1\n",
+       "mpl_toolkits                NA\n",
+       "parso                       0.7.0\n",
+       "patsy                       0.5.1\n",
+       "pexpect                     4.8.0\n",
+       "pickleshare                 0.7.5\n",
+       "pkg_resources               NA\n",
+       "prompt_toolkit              3.0.8\n",
+       "ptyprocess                  0.7.0\n",
+       "pyexpat                     NA\n",
+       "pygments                    2.8.1\n",
+       "pyparsing                   2.4.7\n",
+       "pytz                        2021.1\n",
+       "scipy                       1.5.3\n",
+       "six                         1.15.0\n",
+       "storemagic                  NA\n",
+       "tornado                     6.1\n",
+       "traitlets                   5.0.5\n",
+       "wcwidth                     0.2.5\n",
+       "work_motivation_extras      NA\n",
+       "zmq                         20.0.0\n",
+       "</pre>\n",
+       "</details> <!-- seems like this ends pre, so might as well be explicit -->\n",
+       "<pre>\n",
+       "-----\n",
+       "IPython             7.21.0\n",
+       "jupyter_client      6.1.7\n",
+       "jupyter_core        4.7.1\n",
+       "jupyterlab          2.2.6\n",
+       "notebook            6.2.0\n",
+       "-----\n",
+       "Python 3.9.2 (default, Mar  3 2021, 11:58:52) [Clang 10.0.0 ]\n",
+       "macOS-10.16-x86_64-i386-64bit\n",
+       "-----\n",
+       "Session information updated at 2021-06-13 20:54\n",
+       "</pre>\n",
+       "</details>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "session_info.show(write_req_file=False,\n",
+    "                  req_file_name=\"work_motivation_pre_mid_post_EDA_requirements.txt\",)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "controlling-visit",
+   "metadata": {},
+   "source": [
+    "## Read in the raw daily data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "suffering-expense",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "_df = pd.read_csv(\"data/moti_feasibility_james_pre-mid-post.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "alternative-parish",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "_df = _df.assign(date=pd.to_datetime(_df[\"datestamp\"], format=\"%Y-%m-%d %H:%M:%S\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "broken-locking",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def convert_numeric_where_possible(x):\n",
+    "    try:\n",
+    "        return x.astype(np.number)\n",
+    "    except:\n",
+    "        return x"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "wound-refund",
+   "metadata": {},
+   "source": [
+    "## Reshape the data frame and convert data types to numeric where possible"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "charged-sister",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "demographics_columns = ['User', 'TIME', 'date', 'Allocation', 'gender', 'age', 'education']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "close-poster",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "target_columns = [\"Amotivation\", \"ExternalTotal\", \"Introjected\", \"Identified\", \"Intrinsic\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "promising-blind",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>User</th>\n",
+       "      <th>TIME</th>\n",
+       "      <th>date</th>\n",
+       "      <th>Allocation</th>\n",
+       "      <th>gender</th>\n",
+       "      <th>age</th>\n",
+       "      <th>education</th>\n",
+       "      <th>ExternalSocial</th>\n",
+       "      <th>ExternalMaterial</th>\n",
+       "      <th>AutonomySat</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Interest</th>\n",
+       "      <th>Control</th>\n",
+       "      <th>AutonomousFunctioning</th>\n",
+       "      <th>IncStructResources</th>\n",
+       "      <th>DecHinderDemands</th>\n",
+       "      <th>IncChallengeDemands</th>\n",
+       "      <th>IncSocialResources</th>\n",
+       "      <th>Resilience</th>\n",
+       "      <th>Optimism</th>\n",
+       "      <th>RAI</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>AAMoti?1</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2020-03-27 09:01:15</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>54.0</td>\n",
+       "      <td>A4</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1.333333</td>\n",
+       "      <td>4.50</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.8</td>\n",
+       "      <td>1.6</td>\n",
+       "      <td>4.8</td>\n",
+       "      <td>6.2</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>4.6</td>\n",
+       "      <td>4.2</td>\n",
+       "      <td>4.666667</td>\n",
+       "      <td>5.5</td>\n",
+       "      <td>10.75</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>AAMoti?2</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2020-04-23 13:16:36</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>A5</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>3.75</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.6</td>\n",
+       "      <td>3.6</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.8</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>4.666667</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.25</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2 rows × 31 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       User  TIME                date  Allocation  gender   age education  \\\n",
+       "0  AAMoti?1   1.0 2020-03-27 09:01:15         NaN     0.0  54.0        A4   \n",
+       "1  AAMoti?2   1.0 2020-04-23 13:16:36         NaN     0.0  41.0        A5   \n",
+       "\n",
+       "   ExternalSocial  ExternalMaterial  AutonomySat  ...  Interest  Control  \\\n",
+       "0             3.0          1.333333         4.50  ...       2.8      1.6   \n",
+       "1             5.0          2.000000         3.75  ...       4.6      3.6   \n",
+       "\n",
+       "   AutonomousFunctioning  IncStructResources  DecHinderDemands  \\\n",
+       "0                    4.8                 6.2               3.0   \n",
+       "1                    5.0                 4.0               2.0   \n",
+       "\n",
+       "   IncChallengeDemands  IncSocialResources  Resilience  Optimism    RAI  \n",
+       "0                  4.6                 4.2    4.666667       5.5  10.75  \n",
+       "1                  2.8                 2.2    4.666667       1.0   1.25  \n",
+       "\n",
+       "[2 rows x 31 columns]"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = (_df\n",
+    "      .drop(\"datestamp\", axis=1)\n",
+    "      .apply(convert_numeric_where_possible)\n",
+    "      .loc[:, demographics_columns + sum_scores_columns]\n",
+    "      .assign(RAI = lambda x: x[\"Amotivation\"] * -3 + x[\"ExternalTotal\"] * -2 + x[\"Introjected\"] * -1 + x[\"Identified\"] * 2 + x[\"Intrinsic\"] * 3)\n",
+    "     .drop(target_columns, axis=1))\n",
+    "df.head(2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "educated-microphone",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 234 entries, 0 to 233\n",
+      "Data columns (total 31 columns):\n",
+      " #   Column                 Non-Null Count  Dtype         \n",
+      "---  ------                 --------------  -----         \n",
+      " 0   User                   234 non-null    object        \n",
+      " 1   TIME                   234 non-null    float64       \n",
+      " 2   date                   234 non-null    datetime64[ns]\n",
+      " 3   Allocation             228 non-null    float64       \n",
+      " 4   gender                 101 non-null    float64       \n",
+      " 5   age                    98 non-null     float64       \n",
+      " 6   education              101 non-null    object        \n",
+      " 7   ExternalSocial         214 non-null    float64       \n",
+      " 8   ExternalMaterial       214 non-null    float64       \n",
+      " 9   AutonomySat            211 non-null    float64       \n",
+      " 10  CompetenceSat          212 non-null    float64       \n",
+      " 11  RelatedSat             211 non-null    float64       \n",
+      " 12  AutonomyFrust          211 non-null    float64       \n",
+      " 13  CompetenceFrust        211 non-null    float64       \n",
+      " 14  RelatedFrust           211 non-null    float64       \n",
+      " 15  Vigor                  212 non-null    float64       \n",
+      " 16  Dedication             212 non-null    float64       \n",
+      " 17  Absorption             212 non-null    float64       \n",
+      " 18  WorkEngagement         212 non-null    float64       \n",
+      " 19  SelfControl            209 non-null    float64       \n",
+      " 20  Congruence             209 non-null    float64       \n",
+      " 21  Interest               209 non-null    float64       \n",
+      " 22  Control                209 non-null    float64       \n",
+      " 23  AutonomousFunctioning  209 non-null    float64       \n",
+      " 24  IncStructResources     183 non-null    float64       \n",
+      " 25  DecHinderDemands       183 non-null    float64       \n",
+      " 26  IncChallengeDemands    183 non-null    float64       \n",
+      " 27  IncSocialResources     183 non-null    float64       \n",
+      " 28  Resilience             183 non-null    float64       \n",
+      " 29  Optimism               183 non-null    float64       \n",
+      " 30  RAI                    214 non-null    float64       \n",
+      "dtypes: datetime64[ns](1), float64(28), object(2)\n",
+      "memory usage: 56.8+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "eleven-front",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "====== SUMMARY =====\n",
+      "- Number of columns = 31\n",
+      "- Number of samples = 234 \n",
+      "\n",
+      "- Percentage % of missing values per feature\n",
+      "User                      0.00\n",
+      "TIME                      0.00\n",
+      "date                      0.00\n",
+      "Allocation                2.56\n",
+      "gender                   56.84\n",
+      "age                      58.12\n",
+      "education                56.84\n",
+      "ExternalSocial            8.55\n",
+      "ExternalMaterial          8.55\n",
+      "AutonomySat               9.83\n",
+      "CompetenceSat             9.40\n",
+      "RelatedSat                9.83\n",
+      "AutonomyFrust             9.83\n",
+      "CompetenceFrust           9.83\n",
+      "RelatedFrust              9.83\n",
+      "Vigor                     9.40\n",
+      "Dedication                9.40\n",
+      "Absorption                9.40\n",
+      "WorkEngagement            9.40\n",
+      "SelfControl              10.68\n",
+      "Congruence               10.68\n",
+      "Interest                 10.68\n",
+      "Control                  10.68\n",
+      "AutonomousFunctioning    10.68\n",
+      "IncStructResources       21.79\n",
+      "DecHinderDemands         21.79\n",
+      "IncChallengeDemands      21.79\n",
+      "IncSocialResources       21.79\n",
+      "Resilience               21.79\n",
+      "Optimism                 21.79\n",
+      "RAI                       8.55\n",
+      "dtype: float64\n",
+      "\n",
+      "- Total number of missing values = 1124\n",
+      "\n",
+      "- Overall percentage of missing values = 0.155 %\n",
+      "=================\n"
+     ]
+    }
+   ],
+   "source": [
+    "tiny_summary(df)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bizarre-pulse",
+   "metadata": {},
+   "source": [
+    "## Count the amount of rows per user and plot\n",
+    "The aim of this is to assess whether there is enough data to do some of the more complext NLTSA methods"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "animated-mirror",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "row_amount_df = (df\n",
+    ".reset_index()\n",
+    ".groupby(\"User\")\n",
+    ".count()\n",
+    ".loc[:, [\"date\"]]\n",
+    ".rename(columns={\"date\": \"row_amount\"})\n",
+    ".sort_values(by=\"row_amount\")\n",
+    ".reset_index())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "removable-server",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>User</th>\n",
+       "      <th>row_amount</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>111</th>\n",
+       "      <td>Moti218</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        User  row_amount\n",
+       "111  Moti218           3"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "row_amount_df.tail(1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "italic-glory",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_ = plt.figure(figsize=(20, 4))\n",
+    "_ = sns.barplot(data=row_amount_df, x=\"User\", y=\"row_amount\")\n",
+    "_ = plt.xticks(rotation=90)\n",
+    "_ = plt.axhline(3, c=\"red\", ls=\"--\", label=\"3 day cutoff\")\n",
+    "_ = plt.title(\"Row amounts per user\")\n",
+    "_ = plt.legend()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cloudy-battery",
+   "metadata": {},
+   "source": [
+    "## Plot the heatmaps of the top 5 users with the highest amount of rows\n",
+    "The aim of this is to assess the amount of missingness time wise (i.e. the user could have a lot of data, spread over a long period with large gaps in the middle)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "prerequisite-workplace",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "scale_data = True\n",
+    "plot_df=df.set_index(\"date\").select_dtypes(np.number)\n",
+    "plot_df.index = plot_df.index.date\n",
+    "if scale_data:\n",
+    "    plot_df = pd.DataFrame(MinMaxScaler().fit_transform(plot_df), index=plot_df.index, columns=plot_df.columns)\n",
+    "\n",
+    "_ = plt.figure(figsize=(20, 10))\n",
+    "_ = sns.heatmap(plot_df.T)\n",
+    "_ = plt.title(f\"Heatmap of raw values - all users\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "solid-program",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plot_df = (df\n",
+    "           .set_index(\"User\")\n",
+    "           .select_dtypes(np.number)\n",
+    "           .reset_index()\n",
+    "           .melt(id_vars=[\"User\", \"TIME\"]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "latest-briefs",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_ = plt.figure(figsize=(20, 10))\n",
+    "_ = sns.lineplot(data=plot_df, x=\"TIME\", y=\"value\", hue=\"User\", legend=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "sitting-faculty",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# _ = plt.figure(figsize=(20, 10))\n",
+    "# _ = sns.barplot(data=plot_df, x=\"variable\", y=\"value\")\n",
+    "# _ = plt.xticks(rotation=90)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "polished-batman",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_ = plt.figure(figsize=(20, 10))\n",
+    "_ = sns.boxplot(data=plot_df, x=\"variable\", y=\"value\")\n",
+    "_ = plt.xticks(rotation=90)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "continuing-auditor",
+   "metadata": {},
+   "source": [
+    "### Visualize outliers"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "dimensional-brand",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_bool = True\n",
+    "df_RT_no_out, O_summary, _ = univariate_outlier_removal(df=df, \n",
+    "                                                        nonparam_args={'factor': 3},\n",
+    "                                                        nonparam_name='inter-quartile range, k=3',\n",
+    "                                                        remove=False, #set remove to True to remove the outliers from the original data frame (as well as the returned data frame) \n",
+    "                                                        plot=plot_bool,\n",
+    "                                                        figsize = (10, 10)\n",
+    "                                                       ) \n",
+    "# _ = plt.savefig(\"images/Outliers_plot.png\", dpi=400, format=\"png\", bbox_inches='tight')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "separate-impression",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>var</th>\n",
+       "      <th>method</th>\n",
+       "      <th>outliers-removed</th>\n",
+       "      <th>outliers-removed %</th>\n",
+       "      <th>index</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>Congruence</td>\n",
+       "      <td>inter-quartile range, k=3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>[18, 105, 175]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>AutonomousFunctioning</td>\n",
+       "      <td>standard deviation, k=3.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>[105, 175]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>AutonomyFrust</td>\n",
+       "      <td>standard deviation, k=3.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.9</td>\n",
+       "      <td>[17, 226]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>Absorption</td>\n",
+       "      <td>inter-quartile range, k=3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.5</td>\n",
+       "      <td>[167]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>WorkEngagement</td>\n",
+       "      <td>inter-quartile range, k=3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.5</td>\n",
+       "      <td>[80]</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                      var                     method  outliers-removed  \\\n",
+       "17             Congruence  inter-quartile range, k=3                 3   \n",
+       "20  AutonomousFunctioning  standard deviation, k=3.0                 2   \n",
+       "9           AutonomyFrust  standard deviation, k=3.0                 2   \n",
+       "14             Absorption  inter-quartile range, k=3                 1   \n",
+       "15         WorkEngagement  inter-quartile range, k=3                 1   \n",
+       "\n",
+       "    outliers-removed %           index  \n",
+       "17                 1.4  [18, 105, 175]  \n",
+       "20                 1.0      [105, 175]  \n",
+       "9                  0.9       [17, 226]  \n",
+       "14                 0.5           [167]  \n",
+       "15                 0.5            [80]  "
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "O_summary.sort_values(by = \"outliers-removed %\", ascending=False).head(5)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "answering-scheme",
+   "metadata": {},
+   "source": [
+    "### Check the normality using the Kolmogrov-Smirnov test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "matched-wound",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
+       "      <th>1</th>\n",
+       "      <th>2</th>\n",
+       "      <th>3</th>\n",
+       "      <th>4</th>\n",
+       "      <th>5</th>\n",
+       "      <th>6</th>\n",
+       "      <th>7</th>\n",
+       "      <th>8</th>\n",
+       "      <th>9</th>\n",
+       "      <th>...</th>\n",
+       "      <th>18</th>\n",
+       "      <th>19</th>\n",
+       "      <th>20</th>\n",
+       "      <th>21</th>\n",
+       "      <th>22</th>\n",
+       "      <th>23</th>\n",
+       "      <th>24</th>\n",
+       "      <th>25</th>\n",
+       "      <th>26</th>\n",
+       "      <th>27</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>feature</th>\n",
+       "      <td>TIME</td>\n",
+       "      <td>Allocation</td>\n",
+       "      <td>gender</td>\n",
+       "      <td>age</td>\n",
+       "      <td>ExternalSocial</td>\n",
+       "      <td>ExternalMaterial</td>\n",
+       "      <td>AutonomySat</td>\n",
+       "      <td>CompetenceSat</td>\n",
+       "      <td>RelatedSat</td>\n",
+       "      <td>AutonomyFrust</td>\n",
+       "      <td>...</td>\n",
+       "      <td>Interest</td>\n",
+       "      <td>Control</td>\n",
+       "      <td>AutonomousFunctioning</td>\n",
+       "      <td>IncStructResources</td>\n",
+       "      <td>DecHinderDemands</td>\n",
+       "      <td>IncChallengeDemands</td>\n",
+       "      <td>IncSocialResources</td>\n",
+       "      <td>Resilience</td>\n",
+       "      <td>Optimism</td>\n",
+       "      <td>RAI</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>p-value</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.275094</td>\n",
+       "      <td>0.103033</td>\n",
+       "      <td>0.10707</td>\n",
+       "      <td>0.032465</td>\n",
+       "      <td>0.000052</td>\n",
+       "      <td>0.000212</td>\n",
+       "      <td>0.07133</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.046558</td>\n",
+       "      <td>0.082886</td>\n",
+       "      <td>0.276185</td>\n",
+       "      <td>0.029861</td>\n",
+       "      <td>0.435267</td>\n",
+       "      <td>0.047239</td>\n",
+       "      <td>0.218575</td>\n",
+       "      <td>0.017274</td>\n",
+       "      <td>0.000186</td>\n",
+       "      <td>0.609656</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>normality</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>3 rows × 28 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              0           1       2         3               4   \\\n",
+       "feature     TIME  Allocation  gender       age  ExternalSocial   \n",
+       "p-value      0.0         0.0     0.0  0.275094        0.103033   \n",
+       "normality  False       False   False      True            True   \n",
+       "\n",
+       "                         5            6              7           8   \\\n",
+       "feature    ExternalMaterial  AutonomySat  CompetenceSat  RelatedSat   \n",
+       "p-value             0.10707     0.032465       0.000052    0.000212   \n",
+       "normality              True        False          False       False   \n",
+       "\n",
+       "                      9   ...        18        19                     20  \\\n",
+       "feature    AutonomyFrust  ...  Interest   Control  AutonomousFunctioning   \n",
+       "p-value          0.07133  ...  0.046558  0.082886               0.276185   \n",
+       "normality           True  ...     False      True                   True   \n",
+       "\n",
+       "                           21                22                   23  \\\n",
+       "feature    IncStructResources  DecHinderDemands  IncChallengeDemands   \n",
+       "p-value              0.029861          0.435267             0.047239   \n",
+       "normality               False              True                False   \n",
+       "\n",
+       "                           24          25        26        27  \n",
+       "feature    IncSocialResources  Resilience  Optimism       RAI  \n",
+       "p-value              0.218575    0.017274  0.000186  0.609656  \n",
+       "normality                True       False     False      True  \n",
+       "\n",
+       "[3 rows x 28 columns]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "====== Normality test based on Kolmogorov-Smirnov test =====\n",
+      "\n",
+      "- Size normally distributed feature: 9\n",
+      "- Size NOT normally distributed feature: 19\n"
+     ]
+    }
+   ],
+   "source": [
+    "# subset data frame with only numerical variables\n",
+    "X = df.select_dtypes(np.number)\n",
+    "df_normal_check = normal_check(X)\n",
+    "\n",
+    "# data frame containing variables with Gaussian distribution\n",
+    "X_normal    = X[df_normal_check.loc[df_normal_check['normality'] == True, 'feature']]\n",
+    "\n",
+    "# data frame containing variables with non-Gaussian distribution\n",
+    "X_nonnormal = X[df_normal_check.loc[df_normal_check['normality'] == False, 'feature']]\n",
+    "\n",
+    "# Print Info\n",
+    "display(df_normal_check.T)\n",
+    "print(\"====== Normality test based on Kolmogorov-Smirnov test =====\\n\")\n",
+    "print(f\"- Size normally distributed feature: {X_normal.shape[1]}\")\n",
+    "print(f\"- Size NOT normally distributed feature: {X_nonnormal.shape[1]}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "abandoned-census",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Normal features = ['age' 'ExternalSocial' 'ExternalMaterial' 'AutonomyFrust' 'Control'\n",
+      " 'AutonomousFunctioning' 'DecHinderDemands' 'IncSocialResources' 'RAI']\n",
+      "Normal features after transformation = ['box_square_AutonomySat' 'box_square_Interest'\n",
+      " 'box_square_IncStructResources' 'box_square_IncChallengeDemands']\n",
+      "Non normal features after transformation = ['TIME' 'Allocation' 'gender' 'CompetenceSat' 'RelatedSat'\n",
+      " 'CompetenceFrust' 'RelatedFrust' 'Vigor' 'Dedication' 'Absorption'\n",
+      " 'WorkEngagement' 'SelfControl' 'Congruence' 'Resilience' 'Optimism']\n"
+     ]
+    }
+   ],
+   "source": [
+    "transformed_X_nonnormal = apply_power_transformations(X[X_nonnormal.columns])\n",
+    "\n",
+    "df_transformed_normal_check = normal_check(transformed_X_nonnormal)\n",
+    "use_transformation, use_nonparametric = find_optimal_transformation(df_transformed_normal_check, X_nonnormal.columns)\n",
+    "\n",
+    "print(f\"Normal features = {X_normal.columns.to_numpy()}\")\n",
+    "print(f\"Normal features after transformation = {np.array(use_transformation)}\")\n",
+    "print(f\"Non normal features after transformation = {np.array(use_nonparametric)}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "solved-oakland",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(9, 4, 15, 28)"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(X_normal.columns), len(use_transformation), len(use_nonparametric), (len(X_normal.columns) + len(use_transformation) + len(use_nonparametric))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "several-mention",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "trans_df = (pd.merge(X_normal, \n",
+    "         transformed_X_nonnormal[use_transformation + use_nonparametric], \n",
+    "         left_index=True, \n",
+    "         right_index=True)\n",
+    ".merge(df[[\"date\"]], left_index=True, right_index=True)\n",
+    "           )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "exact-owner",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.0    75\n",
+       "1.0    23\n",
+       "3.0     3\n",
+       "Name: gender, dtype: int64"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "trans_df[\"gender\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "champion-citizen",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "trans_df = df[df[\"gender\"] != 3]\n",
+    "# df[\"gender\"] = df.gender.astype(int)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "fifty-massage",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.0    75\n",
+       "1.0    23\n",
+       "Name: gender, dtype: int64"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "trans_df[\"gender\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "southern-textbook",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x5400 with 54 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_densities = True\n",
+    "if plot_densities:\n",
+    "    # Consider only float features\n",
+    "    features_list = df.select_dtypes(float).drop(\"gender\", axis=1).columns.tolist()\n",
+    "    # Consider the interested group to analyze\n",
+    "    grouping_var = \"gender\"\n",
+    "\n",
+    "    # Plot\n",
+    "    set_plot_limits=False\n",
+    "    fig, axs = plt.subplots(figsize=(20,75), nrows=len(features_list), ncols=2, gridspec_kw={'width_ratios': [2, 1]})\n",
+    "    fig.subplots_adjust(hspace = 0.5, wspace=0.2)\n",
+    "    axs = axs.ravel()\n",
+    "\n",
+    "    for i in range(0, len(features_list)*2, 2):\n",
+    "        try:\n",
+    "            _ = sns.histplot(data=trans_df, x=features_list[int(i/2)], hue=grouping_var, kde=False, bins=10, ax=axs[i])\n",
+    "            _ = sns.boxplot(data=trans_df, x=grouping_var, y=features_list[int(i/2)], ax=axs[i+1])\n",
+    "            _ = axs[i+1].axes.get_yaxis().get_label().set_visible(False)\n",
+    "        except:\n",
+    "            print(f\"{features_list[int(i/2)]} - this had an error\")\n",
+    "\n",
+    "    # _ = plt.savefig(f\"images/density_boxplots_all_fitbit_features_{grouping_var}.png\", dpi=400, format=\"png\", bbox_inches='tight')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "variable-decline",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['age', 'ExternalSocial', 'ExternalMaterial', 'AutonomyFrust',\n",
+       "       'Control', 'AutonomousFunctioning', 'DecHinderDemands',\n",
+       "       'IncSocialResources', 'RAI', 'box_square_AutonomySat',\n",
+       "       'box_square_Interest', 'box_square_IncStructResources',\n",
+       "       'box_square_IncChallengeDemands', 'TIME', 'Allocation', 'gender',\n",
+       "       'CompetenceSat', 'RelatedSat', 'CompetenceFrust', 'RelatedFrust',\n",
+       "       'Vigor', 'Dedication', 'Absorption', 'WorkEngagement',\n",
+       "       'SelfControl', 'Congruence', 'Resilience', 'Optimism'],\n",
+       "      dtype='<U30')"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "transformed_fitbit_cols = X_normal.columns.tolist() + use_transformation + use_nonparametric\n",
+    "np.array(transformed_fitbit_cols)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "international-sculpture",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/scipy/stats/stats.py:4196: SpearmanRConstantInputWarning: An input array is constant; the correlation coefficent is not defined.\n",
+      "  warnings.warn(SpearmanRConstantInputWarning())\n",
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/scipy/stats/stats.py:4196: SpearmanRConstantInputWarning: An input array is constant; the correlation coefficent is not defined.\n",
+      "  warnings.warn(SpearmanRConstantInputWarning())\n"
+     ]
+    }
+   ],
+   "source": [
+    "corr_out, _ = correlation_analysis(data=trans_df,\n",
+    "#                     col_list=[\"RAI\", \"Optimism\"],\n",
+    "#                     row_list = transformed_fitbit_cols,\n",
+    "                                  check_norm=True)\n",
+    "corrs = corr_out[\"summary\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "outstanding-czech",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>analysis</th>\n",
+       "      <th>feature1</th>\n",
+       "      <th>feature2</th>\n",
+       "      <th>r-value</th>\n",
+       "      <th>p-value</th>\n",
+       "      <th>stat-sign</th>\n",
+       "      <th>N</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>286</th>\n",
+       "      <td>Spearman Rank</td>\n",
+       "      <td>Dedication</td>\n",
+       "      <td>RAI</td>\n",
+       "      <td>0.693083</td>\n",
+       "      <td>2.148071e-31</td>\n",
+       "      <td>True</td>\n",
+       "      <td>210</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>167</th>\n",
+       "      <td>Spearman Rank</td>\n",
+       "      <td>AutonomySat</td>\n",
+       "      <td>RAI</td>\n",
+       "      <td>0.676722</td>\n",
+       "      <td>2.418086e-29</td>\n",
+       "      <td>True</td>\n",
+       "      <td>209</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>187</th>\n",
+       "      <td>Spearman Rank</td>\n",
+       "      <td>CompetenceSat</td>\n",
+       "      <td>RAI</td>\n",
+       "      <td>0.628806</td>\n",
+       "      <td>1.635579e-24</td>\n",
+       "      <td>True</td>\n",
+       "      <td>210</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>311</th>\n",
+       "      <td>Spearman Rank</td>\n",
+       "      <td>WorkEngagement</td>\n",
+       "      <td>RAI</td>\n",
+       "      <td>0.625542</td>\n",
+       "      <td>3.316445e-24</td>\n",
+       "      <td>True</td>\n",
+       "      <td>210</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>224</th>\n",
+       "      <td>Pearson</td>\n",
+       "      <td>AutonomyFrust</td>\n",
+       "      <td>RAI</td>\n",
+       "      <td>-0.619377</td>\n",
+       "      <td>1.573851e-23</td>\n",
+       "      <td>True</td>\n",
+       "      <td>209</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>272</th>\n",
+       "      <td>Spearman Rank</td>\n",
+       "      <td>Vigor</td>\n",
+       "      <td>RAI</td>\n",
+       "      <td>0.571688</td>\n",
+       "      <td>1.277075e-19</td>\n",
+       "      <td>True</td>\n",
+       "      <td>210</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>241</th>\n",
+       "      <td>Spearman Rank</td>\n",
+       "      <td>CompetenceFrust</td>\n",
+       "      <td>RAI</td>\n",
+       "      <td>-0.514979</td>\n",
+       "      <td>1.494000e-15</td>\n",
+       "      <td>True</td>\n",
+       "      <td>209</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>349</th>\n",
+       "      <td>Pearson</td>\n",
+       "      <td>Control</td>\n",
+       "      <td>RAI</td>\n",
+       "      <td>-0.496807</td>\n",
+       "      <td>2.663397e-14</td>\n",
+       "      <td>True</td>\n",
+       "      <td>207</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>362</th>\n",
+       "      <td>Spearman Rank</td>\n",
+       "      <td>IncStructResources</td>\n",
+       "      <td>RAI</td>\n",
+       "      <td>0.526186</td>\n",
+       "      <td>2.802045e-14</td>\n",
+       "      <td>True</td>\n",
+       "      <td>181</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>377</th>\n",
+       "      <td>Spearman Rank</td>\n",
+       "      <td>Optimism</td>\n",
+       "      <td>RAI</td>\n",
+       "      <td>0.518632</td>\n",
+       "      <td>7.506659e-14</td>\n",
+       "      <td>True</td>\n",
+       "      <td>181</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>371</th>\n",
+       "      <td>Pearson</td>\n",
+       "      <td>IncChallengeDemands</td>\n",
+       "      <td>RAI</td>\n",
+       "      <td>0.497916</td>\n",
+       "      <td>9.916126e-13</td>\n",
+       "      <td>True</td>\n",
+       "      <td>181</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>322</th>\n",
+       "      <td>Spearman Rank</td>\n",
+       "      <td>SelfControl</td>\n",
+       "      <td>RAI</td>\n",
+       "      <td>0.452299</td>\n",
+       "      <td>7.829674e-12</td>\n",
+       "      <td>True</td>\n",
+       "      <td>207</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>299</th>\n",
+       "      <td>Spearman Rank</td>\n",
+       "      <td>Absorption</td>\n",
+       "      <td>RAI</td>\n",
+       "      <td>0.411519</td>\n",
+       "      <td>5.469874e-10</td>\n",
+       "      <td>True</td>\n",
+       "      <td>210</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>124</th>\n",
+       "      <td>Pearson</td>\n",
+       "      <td>ExternalSocial</td>\n",
+       "      <td>RAI</td>\n",
+       "      <td>-0.378030</td>\n",
+       "      <td>1.315857e-08</td>\n",
+       "      <td>True</td>\n",
+       "      <td>212</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>332</th>\n",
+       "      <td>Spearman Rank</td>\n",
+       "      <td>Congruence</td>\n",
+       "      <td>RAI</td>\n",
+       "      <td>0.374809</td>\n",
+       "      <td>2.635422e-08</td>\n",
+       "      <td>True</td>\n",
+       "      <td>207</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>367</th>\n",
+       "      <td>Pearson</td>\n",
+       "      <td>DecHinderDemands</td>\n",
+       "      <td>RAI</td>\n",
+       "      <td>-0.393722</td>\n",
+       "      <td>4.172293e-08</td>\n",
+       "      <td>True</td>\n",
+       "      <td>181</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>206</th>\n",
+       "      <td>Spearman Rank</td>\n",
+       "      <td>RelatedSat</td>\n",
+       "      <td>RAI</td>\n",
+       "      <td>0.354944</td>\n",
+       "      <td>1.339931e-07</td>\n",
+       "      <td>True</td>\n",
+       "      <td>209</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>356</th>\n",
+       "      <td>Pearson</td>\n",
+       "      <td>AutonomousFunctioning</td>\n",
+       "      <td>RAI</td>\n",
+       "      <td>0.313403</td>\n",
+       "      <td>4.262429e-06</td>\n",
+       "      <td>True</td>\n",
+       "      <td>207</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>146</th>\n",
+       "      <td>Pearson</td>\n",
+       "      <td>ExternalMaterial</td>\n",
+       "      <td>RAI</td>\n",
+       "      <td>-0.296031</td>\n",
+       "      <td>1.168136e-05</td>\n",
+       "      <td>True</td>\n",
+       "      <td>212</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>257</th>\n",
+       "      <td>Spearman Rank</td>\n",
+       "      <td>RelatedFrust</td>\n",
+       "      <td>RAI</td>\n",
+       "      <td>-0.297875</td>\n",
+       "      <td>1.184926e-05</td>\n",
+       "      <td>True</td>\n",
+       "      <td>209</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          analysis               feature1 feature2   r-value       p-value  \\\n",
+       "286  Spearman Rank             Dedication      RAI  0.693083  2.148071e-31   \n",
+       "167  Spearman Rank            AutonomySat      RAI  0.676722  2.418086e-29   \n",
+       "187  Spearman Rank          CompetenceSat      RAI  0.628806  1.635579e-24   \n",
+       "311  Spearman Rank         WorkEngagement      RAI  0.625542  3.316445e-24   \n",
+       "224        Pearson          AutonomyFrust      RAI -0.619377  1.573851e-23   \n",
+       "272  Spearman Rank                  Vigor      RAI  0.571688  1.277075e-19   \n",
+       "241  Spearman Rank        CompetenceFrust      RAI -0.514979  1.494000e-15   \n",
+       "349        Pearson                Control      RAI -0.496807  2.663397e-14   \n",
+       "362  Spearman Rank     IncStructResources      RAI  0.526186  2.802045e-14   \n",
+       "377  Spearman Rank               Optimism      RAI  0.518632  7.506659e-14   \n",
+       "371        Pearson    IncChallengeDemands      RAI  0.497916  9.916126e-13   \n",
+       "322  Spearman Rank            SelfControl      RAI  0.452299  7.829674e-12   \n",
+       "299  Spearman Rank             Absorption      RAI  0.411519  5.469874e-10   \n",
+       "124        Pearson         ExternalSocial      RAI -0.378030  1.315857e-08   \n",
+       "332  Spearman Rank             Congruence      RAI  0.374809  2.635422e-08   \n",
+       "367        Pearson       DecHinderDemands      RAI -0.393722  4.172293e-08   \n",
+       "206  Spearman Rank             RelatedSat      RAI  0.354944  1.339931e-07   \n",
+       "356        Pearson  AutonomousFunctioning      RAI  0.313403  4.262429e-06   \n",
+       "146        Pearson       ExternalMaterial      RAI -0.296031  1.168136e-05   \n",
+       "257  Spearman Rank           RelatedFrust      RAI -0.297875  1.184926e-05   \n",
+       "\n",
+       "     stat-sign    N  \n",
+       "286       True  210  \n",
+       "167       True  209  \n",
+       "187       True  210  \n",
+       "311       True  210  \n",
+       "224       True  209  \n",
+       "272       True  210  \n",
+       "241       True  209  \n",
+       "349       True  207  \n",
+       "362       True  181  \n",
+       "377       True  181  \n",
+       "371       True  181  \n",
+       "322       True  207  \n",
+       "299       True  210  \n",
+       "124       True  212  \n",
+       "332       True  207  \n",
+       "367       True  181  \n",
+       "206       True  209  \n",
+       "356       True  207  \n",
+       "146       True  212  \n",
+       "257       True  209  "
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "corrs[corrs[\"feature2\"] == \"RAI\"].sort_values(\"p-value\").head(20)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "indie-input",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/scipy/stats/stats.py:4196: SpearmanRConstantInputWarning: An input array is constant; the correlation coefficent is not defined.\n",
+      "  warnings.warn(SpearmanRConstantInputWarning())\n",
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/scipy/stats/stats.py:4196: SpearmanRConstantInputWarning: An input array is constant; the correlation coefficent is not defined.\n",
+      "  warnings.warn(SpearmanRConstantInputWarning())\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plot_correlogram(data=trans_df,\n",
+    "#                     col_list=transformed_fitbit_cols,\n",
+    "#                     row_list = [\"RAI\"],\n",
+    "                                  check_norm=True,\n",
+    "                    figsize=(20, 10),\n",
+    "                         font_scale=0.7)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "starting-pacific",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "top_feature1 = corrs[corrs[\"feature2\"] == \"RAI\"].sort_values(\"r-value\").head(1).feature1.tolist()[0]\n",
+    "top_feature2 = corrs[corrs[\"feature2\"] == \"RAI\"].sort_values(\"r-value\").head(1).feature2.tolist()[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "chronic-lingerie",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_ = sns.regplot(x = top_feature2, y = top_feature1, data=trans_df)\n",
+    "_ = plt.title(f'{top_feature1} vs {top_feature2.replace(\"_\", \" \").title()} regression plot')\n",
+    "_ = sns.despine()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "photographic-blocking",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "top_feature1 = corrs[corrs[\"feature2\"] == \"RAI\"].sort_values(\"r-value\").tail(1).feature1.tolist()[0]\n",
+    "top_feature2 = corrs[corrs[\"feature2\"] == \"RAI\"].sort_values(\"r-value\").tail(1).feature2.tolist()[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "alive-deposit",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_ = sns.regplot(x = top_feature2, y = top_feature1, data=trans_df)\n",
+    "_ = plt.title(f'{top_feature1} vs {top_feature2.replace(\"_\", \" \").title()} regression plot')\n",
+    "_ = sns.despine()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "whole-crawford",
+   "metadata": {},
+   "source": [
+    "### Run the correlations as sample size increases for the highest correlations"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "developmental-fleece",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "amount_top_correlations = 2\n",
+    "top_corrs_sorted = corrs[corrs[\"feature2\"] == \"RAI\"].sort_values(\"r-value\").head(amount_top_correlations)\n",
+    "top_corrs_sorted_descending = corrs[corrs[\"feature2\"] == \"RAI\"].sort_values(\"r-value\", ascending=False).head(amount_top_correlations)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "weekly-provision",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "top_corrs_zip = zip(top_corrs_sorted.analysis.tolist() + top_corrs_sorted_descending.analysis.tolist(),\n",
+    "                    top_corrs_sorted.feature1.tolist() + top_corrs_sorted_descending.feature1.tolist(),\n",
+    "                    top_corrs_sorted.feature2.tolist() + top_corrs_sorted_descending.feature2.tolist()\n",
+    "                   )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "id": "collective-roberts",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # Take all of the features from the feature2 column of the above data frame and show how the \n",
+    "# # r-value and p-value changes as N increases when correlating them with petal_width\n",
+    "# # for feature in dict_results[\"summary\"].feature2.tolist():\n",
+    "# for cor_type, feat_1, feat_2 in top_corrs_zip:\n",
+    "#     summary, fig = correlations_as_sample_increases(data = trans_df, \n",
+    "#                                                     feature1=feat_1, \n",
+    "#                                                     feature2=feat_2, \n",
+    "#                                                     method=cor_type.split(\" \")[0].lower(),\n",
+    "#                                                     bootstrap = False,\n",
+    "#                                                     bootstrap_per_N = 20,\n",
+    "#                                                     starting_N=20, \n",
+    "#                                                     random_state=42069, \n",
+    "#                                                     plot=True)\n",
+    "    \n",
+    "# #     fig.savefig(f\"Images/{feat_1}_{feat_2}_correlation_as_sample_increases.png\", dpi=400, format=\"png\", bbox_inches = \"tight\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "blind-porcelain",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "hue_column = \"gender\"\n",
+    "hue_column = None\n",
+    "# POM\n",
+    "_ = plt.figure(figsize=(10,4))\n",
+    "_ = sns.boxplot(x = \"TIME\", y = top_feature1, hue=hue_column, data=trans_df)\n",
+    "_ = sns.stripplot(x = \"TIME\", y = top_feature1, hue=hue_column, data=trans_df, dodge=True, linewidth=1, \n",
+    "                  edgecolor=\"white\")\n",
+    "# _ = plt.legend(loc=\"lower center\", ncol=6)\n",
+    "_ = sns.despine()\n",
+    "\n",
+    "# Fitbit feature\n",
+    "_ = plt.figure(figsize=(10,4))\n",
+    "_ = sns.boxplot(x = \"TIME\", y = top_feature2, hue=hue_column, data=trans_df)\n",
+    "_ = sns.stripplot(x = \"TIME\", y = top_feature2, hue=hue_column, data=trans_df, dodge=True, linewidth=1, edgecolor=\"white\")\n",
+    "# _ = plt.legend(loc=\"lower center\", ncol=6)\n",
+    "_ = sns.despine()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "baking-sandwich",
+   "metadata": {},
+   "source": [
+    "### Level of aggreement between two clinical measurements accounting for multiple data points"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "charming-dance",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/jamestwose/Coding/data-science-core-develop/neuropy/frequentist_statistics.py:2576: UserWarning: The amount of data in the columns is not equal across columns, hence the amount of data shown in the plot is equal to 210, column == Dedication\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 648x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax, means, diffs = bland_altman_plot_repeated(data=trans_df[[top_feature1, top_feature2, \"TIME\"]],\n",
+    "                                                   column1=top_feature1,\n",
+    "                                                   column2=top_feature2,\n",
+    "                                                   group_column=\"TIME\", \n",
+    "#                                                    hue_column=\"diagnosis_ms\",\n",
+    "                                                   limits_approach=\"anova\",\n",
+    "                                                   aggregate_scatter=False,\n",
+    "                                                   aggregate_scatter_method=\"median\",\n",
+    "                                                   plt_title=f\"Bland-Altman mean difference plot between {top_feature1} and\\n {top_feature2}, taking into account multiple time points\",\n",
+    "                                                   figsize=(9, 5))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "id": "strong-validation",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "target_name = \"RAI\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "national-photographer",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + RelatedFrust + Vigor + Dedication + Absorption + WorkEngagement + SelfControl + Congruence + Interest + Control + AutonomousFunctioning + IncStructResources + DecHinderDemands + IncChallengeDemands + IncSocialResources + Resilience + Optimism'"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "feature_collection = \" + \".join(features_list[3:-1])\n",
+    "feature_collection"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "bearing-swedish",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Allocation</th>\n",
+       "      <th>age</th>\n",
+       "      <th>ExternalSocial</th>\n",
+       "      <th>ExternalMaterial</th>\n",
+       "      <th>AutonomySat</th>\n",
+       "      <th>CompetenceSat</th>\n",
+       "      <th>RelatedSat</th>\n",
+       "      <th>AutonomyFrust</th>\n",
+       "      <th>CompetenceFrust</th>\n",
+       "      <th>RelatedFrust</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Congruence</th>\n",
+       "      <th>Interest</th>\n",
+       "      <th>Control</th>\n",
+       "      <th>AutonomousFunctioning</th>\n",
+       "      <th>IncStructResources</th>\n",
+       "      <th>DecHinderDemands</th>\n",
+       "      <th>IncChallengeDemands</th>\n",
+       "      <th>IncSocialResources</th>\n",
+       "      <th>Resilience</th>\n",
+       "      <th>Optimism</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>226.000000</td>\n",
+       "      <td>95.000000</td>\n",
+       "      <td>212.000000</td>\n",
+       "      <td>212.000000</td>\n",
+       "      <td>209.000000</td>\n",
+       "      <td>210.000000</td>\n",
+       "      <td>209.000000</td>\n",
+       "      <td>209.000000</td>\n",
+       "      <td>209.000000</td>\n",
+       "      <td>209.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>207.000000</td>\n",
+       "      <td>207.000000</td>\n",
+       "      <td>207.000000</td>\n",
+       "      <td>207.000000</td>\n",
+       "      <td>181.000000</td>\n",
+       "      <td>181.000000</td>\n",
+       "      <td>181.000000</td>\n",
+       "      <td>181.000000</td>\n",
+       "      <td>181.000000</td>\n",
+       "      <td>181.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>0.650442</td>\n",
+       "      <td>46.115789</td>\n",
+       "      <td>3.701258</td>\n",
+       "      <td>3.166667</td>\n",
+       "      <td>5.129984</td>\n",
+       "      <td>5.654762</td>\n",
+       "      <td>5.455742</td>\n",
+       "      <td>2.801435</td>\n",
+       "      <td>2.330542</td>\n",
+       "      <td>2.262360</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3.850483</td>\n",
+       "      <td>3.421256</td>\n",
+       "      <td>2.201208</td>\n",
+       "      <td>5.070531</td>\n",
+       "      <td>5.692818</td>\n",
+       "      <td>3.046961</td>\n",
+       "      <td>4.907182</td>\n",
+       "      <td>4.020718</td>\n",
+       "      <td>4.550645</td>\n",
+       "      <td>5.298343</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>0.477889</td>\n",
+       "      <td>9.934748</td>\n",
+       "      <td>1.410806</td>\n",
+       "      <td>1.336686</td>\n",
+       "      <td>1.016055</td>\n",
+       "      <td>0.922137</td>\n",
+       "      <td>1.006954</td>\n",
+       "      <td>1.273122</td>\n",
+       "      <td>1.126968</td>\n",
+       "      <td>0.965801</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.489228</td>\n",
+       "      <td>0.897546</td>\n",
+       "      <td>0.805208</td>\n",
+       "      <td>1.245400</td>\n",
+       "      <td>0.828069</td>\n",
+       "      <td>1.211355</td>\n",
+       "      <td>1.217741</td>\n",
+       "      <td>1.286867</td>\n",
+       "      <td>0.921309</td>\n",
+       "      <td>1.374145</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>23.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.250000</td>\n",
+       "      <td>2.750000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.400000</td>\n",
+       "      <td>2.800000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.400000</td>\n",
+       "      <td>1.666667</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>40.000000</td>\n",
+       "      <td>2.666667</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>4.500000</td>\n",
+       "      <td>5.250000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>1.750000</td>\n",
+       "      <td>1.500000</td>\n",
+       "      <td>1.500000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3.600000</td>\n",
+       "      <td>2.800000</td>\n",
+       "      <td>1.600000</td>\n",
+       "      <td>4.400000</td>\n",
+       "      <td>5.200000</td>\n",
+       "      <td>2.166667</td>\n",
+       "      <td>4.200000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>4.500000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>47.000000</td>\n",
+       "      <td>3.666667</td>\n",
+       "      <td>3.333333</td>\n",
+       "      <td>5.250000</td>\n",
+       "      <td>6.000000</td>\n",
+       "      <td>5.750000</td>\n",
+       "      <td>2.750000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>3.600000</td>\n",
+       "      <td>2.200000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.800000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>4.666667</td>\n",
+       "      <td>5.500000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>55.000000</td>\n",
+       "      <td>4.666667</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>6.000000</td>\n",
+       "      <td>6.250000</td>\n",
+       "      <td>6.000000</td>\n",
+       "      <td>3.750000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>2.750000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>2.600000</td>\n",
+       "      <td>5.900000</td>\n",
+       "      <td>6.400000</td>\n",
+       "      <td>3.833333</td>\n",
+       "      <td>5.800000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>6.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>63.000000</td>\n",
+       "      <td>7.000000</td>\n",
+       "      <td>6.333333</td>\n",
+       "      <td>7.000000</td>\n",
+       "      <td>7.000000</td>\n",
+       "      <td>7.000000</td>\n",
+       "      <td>7.000000</td>\n",
+       "      <td>5.500000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>4.600000</td>\n",
+       "      <td>8.200000</td>\n",
+       "      <td>7.000000</td>\n",
+       "      <td>6.166667</td>\n",
+       "      <td>7.000000</td>\n",
+       "      <td>7.000000</td>\n",
+       "      <td>7.000000</td>\n",
+       "      <td>7.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>8 rows × 25 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       Allocation        age  ExternalSocial  ExternalMaterial  AutonomySat  \\\n",
+       "count  226.000000  95.000000      212.000000        212.000000   209.000000   \n",
+       "mean     0.650442  46.115789        3.701258          3.166667     5.129984   \n",
+       "std      0.477889   9.934748        1.410806          1.336686     1.016055   \n",
+       "min      0.000000  23.000000        1.000000          1.000000     1.250000   \n",
+       "25%      0.000000  40.000000        2.666667          2.000000     4.500000   \n",
+       "50%      1.000000  47.000000        3.666667          3.333333     5.250000   \n",
+       "75%      1.000000  55.000000        4.666667          4.000000     6.000000   \n",
+       "max      1.000000  63.000000        7.000000          6.333333     7.000000   \n",
+       "\n",
+       "       CompetenceSat  RelatedSat  AutonomyFrust  CompetenceFrust  \\\n",
+       "count     210.000000  209.000000     209.000000       209.000000   \n",
+       "mean        5.654762    5.455742       2.801435         2.330542   \n",
+       "std         0.922137    1.006954       1.273122         1.126968   \n",
+       "min         2.750000    2.000000       1.000000         1.000000   \n",
+       "25%         5.250000    5.000000       1.750000         1.500000   \n",
+       "50%         6.000000    5.750000       2.750000         2.000000   \n",
+       "75%         6.250000    6.000000       3.750000         3.000000   \n",
+       "max         7.000000    7.000000       7.000000         5.500000   \n",
+       "\n",
+       "       RelatedFrust  ...  Congruence    Interest     Control  \\\n",
+       "count    209.000000  ...  207.000000  207.000000  207.000000   \n",
+       "mean       2.262360  ...    3.850483    3.421256    2.201208   \n",
+       "std        0.965801  ...    0.489228    0.897546    0.805208   \n",
+       "min        1.000000  ...    2.000000    1.000000    1.000000   \n",
+       "25%        1.500000  ...    3.600000    2.800000    1.600000   \n",
+       "50%        2.000000  ...    4.000000    3.600000    2.200000   \n",
+       "75%        2.750000  ...    4.000000    4.000000    2.600000   \n",
+       "max        5.000000  ...    5.000000    5.000000    4.600000   \n",
+       "\n",
+       "       AutonomousFunctioning  IncStructResources  DecHinderDemands  \\\n",
+       "count             207.000000          181.000000        181.000000   \n",
+       "mean                5.070531            5.692818          3.046961   \n",
+       "std                 1.245400            0.828069          1.211355   \n",
+       "min                 0.400000            2.800000          1.000000   \n",
+       "25%                 4.400000            5.200000          2.166667   \n",
+       "50%                 5.000000            5.800000          3.000000   \n",
+       "75%                 5.900000            6.400000          3.833333   \n",
+       "max                 8.200000            7.000000          6.166667   \n",
+       "\n",
+       "       IncChallengeDemands  IncSocialResources  Resilience    Optimism  \n",
+       "count           181.000000          181.000000  181.000000  181.000000  \n",
+       "mean              4.907182            4.020718    4.550645    5.298343  \n",
+       "std               1.217741            1.286867    0.921309    1.374145  \n",
+       "min               1.000000            1.400000    1.666667    1.000000  \n",
+       "25%               4.200000            3.000000    4.000000    4.500000  \n",
+       "50%               5.000000            4.000000    4.666667    5.500000  \n",
+       "75%               5.800000            5.000000    5.000000    6.000000  \n",
+       "max               7.000000            7.000000    7.000000    7.000000  \n",
+       "\n",
+       "[8 rows x 25 columns]"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "trans_df[features_list[1:-1]].apply(lambda x: x.value_counts())\n",
+    "trans_df[features_list[1:-1]].describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "qualified-programmer",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/pandas/core/frame.py:3191: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  self[k1] = value[k2]\n"
+     ]
+    }
+   ],
+   "source": [
+    "scale_bool = True\n",
+    "if scale_bool:\n",
+    "    trans_df[features_list[3:-1] + [target_name]] = pd.DataFrame(MinMaxScaler().fit_transform(trans_df[features_list[3:-1] + [target_name]]), index=trans_df.index, columns=features_list[3:-1] + [target_name])\n",
+    "#     trans_df[features_list[3:-1] + [target_name]] = pd.DataFrame(StandardScaler().fit_transform(trans_df[features_list[3:-1] + [target_name]]), index=trans_df.index, columns=features_list[3:-1] + [target_name])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "inappropriate-frame",
+   "metadata": {},
+   "source": [
+    "### Specify the model with the formula_string as the model syntax"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "fancy-stream",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                    Mixed Linear Model Regression Results\n",
+      "==============================================================================\n",
+      "Model:                    MixedLM         Dependent Variable:         RAI     \n",
+      "No. Observations:         180             Method:                     REML    \n",
+      "No. Groups:               94              Scale:                      0.0027  \n",
+      "Min. group size:          1               Log-Likelihood:             204.1497\n",
+      "Max. group size:          3               Converged:                  No      \n",
+      "Mean group size:          1.9                                                 \n",
+      "------------------------------------------------------------------------------\n",
+      "                       Coef.   Std.Err.    z    P>|z|    [0.025       0.975]  \n",
+      "------------------------------------------------------------------------------\n",
+      "Intercept              12.758 178230.804  0.000 1.000  -349313.198  349338.714\n",
+      "ExternalSocial         -0.108      0.037 -2.907 0.004       -0.181      -0.035\n",
+      "ExternalMaterial       -0.114      0.034 -3.328 0.001       -0.181      -0.047\n",
+      "AutonomySat             0.231      0.054  4.241 0.000        0.124       0.337\n",
+      "CompetenceSat           0.104      0.051  2.048 0.041        0.004       0.204\n",
+      "RelatedSat              0.077      0.047  1.649 0.099       -0.015       0.170\n",
+      "AutonomyFrust          -0.143      0.043 -3.324 0.001       -0.227      -0.059\n",
+      "CompetenceFrust         0.124      0.042  2.924 0.003        0.041       0.206\n",
+      "RelatedFrust            0.007      0.034  0.191 0.849       -0.061       0.074\n",
+      "Vigor                  -3.905 100669.667 -0.000 1.000  -197312.827  197305.016\n",
+      "Dedication             -3.934 108413.487 -0.000 1.000  -212490.465  212482.596\n",
+      "Absorption             -5.103 139388.770 -0.000 1.000  -273202.071  273191.865\n",
+      "WorkEngagement         11.382 302009.001  0.000 1.000  -591915.382  591938.146\n",
+      "SelfControl             0.023      0.042  0.540 0.589       -0.060       0.105\n",
+      "Congruence             20.200 313374.475  0.000 1.000  -614182.485  614222.885\n",
+      "Interest               26.895 417832.634  0.000 1.000  -818910.018  818963.809\n",
+      "Control               -24.294 376049.370 -0.000 1.000  -737067.516  737018.928\n",
+      "AutonomousFunctioning -52.517 814773.636 -0.000 1.000 -1596979.498 1596874.464\n",
+      "IncStructResources      0.112      0.042  2.689 0.007        0.030       0.193\n",
+      "DecHinderDemands       -0.101      0.032 -3.187 0.001       -0.163      -0.039\n",
+      "IncChallengeDemands     0.031      0.045  0.686 0.493       -0.058       0.120\n",
+      "IncSocialResources      0.054      0.035  1.534 0.125       -0.015       0.122\n",
+      "Resilience              0.067      0.039  1.703 0.088       -0.010       0.144\n",
+      "Optimism               -0.044      0.037 -1.204 0.229       -0.116       0.028\n",
+      "Group Var               0.003      0.004                                      \n",
+      "Group x TIME Cov        0.000      0.001                                      \n",
+      "TIME Var                0.000      0.001                                      \n",
+      "==============================================================================\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/base/model.py:566: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals\n",
+      "  warnings.warn(\"Maximum Likelihood optimization failed to \"\n",
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2206: ConvergenceWarning: MixedLM optimization failed, trying a different optimizer may help.\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n",
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2218: ConvergenceWarning: Gradient optimization failed, |grad| = 294.669673\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n",
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n",
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2261: ConvergenceWarning: The Hessian matrix at the estimated parameter values is not positive definite.\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n"
+     ]
+    }
+   ],
+   "source": [
+    "md = smf.mixedlm(f\"{target_name} ~ {feature_collection}\", data=trans_df, groups=trans_df[\"User\"], re_formula=\"~TIME\", missing=\"drop\")\n",
+    "# md = smf.mixedlm(f\"RAI ~ Allocation\", data=trans_df, groups=trans_df[\"User\"], missing=\"drop\")\n",
+    "mdf = md.fit(method=[\"lbfgs\"])\n",
+    "print(mdf.summary())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "second-wound",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 4 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axs = diagnostic_plots(model_fit=mdf,\n",
+    "                                             X=None,\n",
+    "                                             y=None,\n",
+    "                                             figsize = (8,8),\n",
+    "                                             limit_cooks_plot = False,\n",
+    "                                             subplot_adjust_args={\"wspace\": 0.3, \"hspace\": 0.3}\n",
+    "                                            )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "opposite-walnut",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cutoff = 0.06\n",
+    "drop_amount = 1\n",
+    "fixed_effect_output = mdf.summary().tables[1]\n",
+    "fixed_effect_output_no_empty = fixed_effect_output[fixed_effect_output[\"P>|z|\"] != \"\"].astype(float)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "happy-distance",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<ipython-input-51-b9bb0bc68d69>:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  while fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].shape[0] > 0:\n",
+      "<ipython-input-51-b9bb0bc68d69>:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  feature_to_drop = fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].sort_values(by = \"P>|z|\").tail(drop_amount).index.tolist()\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + RelatedFrust + Vigor + Dedication + Absorption + WorkEngagement + SelfControl + Congruence + Interest + Control + IncStructResources + DecHinderDemands + IncChallengeDemands + IncSocialResources + Resilience + Optimism\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/base/model.py:566: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals\n",
+      "  warnings.warn(\"Maximum Likelihood optimization failed to \"\n",
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2206: ConvergenceWarning: MixedLM optimization failed, trying a different optimizer may help.\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n",
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2218: ConvergenceWarning: Gradient optimization failed, |grad| = 29.675986\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n",
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n",
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2261: ConvergenceWarning: The Hessian matrix at the estimated parameter values is not positive definite.\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n",
+      "<ipython-input-51-b9bb0bc68d69>:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  while fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].shape[0] > 0:\n",
+      "<ipython-input-51-b9bb0bc68d69>:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  feature_to_drop = fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].sort_values(by = \"P>|z|\").tail(drop_amount).index.tolist()\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + RelatedFrust + Vigor + Dedication + Absorption + SelfControl + Congruence + Interest + Control + IncStructResources + DecHinderDemands + IncChallengeDemands + IncSocialResources + Resilience + Optimism\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:1634: UserWarning: Random effects covariance is singular\n",
+      "  warnings.warn(msg)\n",
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n",
+      "<ipython-input-51-b9bb0bc68d69>:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  while fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].shape[0] > 0:\n",
+      "<ipython-input-51-b9bb0bc68d69>:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  feature_to_drop = fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].sort_values(by = \"P>|z|\").tail(drop_amount).index.tolist()\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + RelatedFrust + Vigor + Dedication + Absorption + SelfControl + Interest + Control + IncStructResources + DecHinderDemands + IncChallengeDemands + IncSocialResources + Resilience + Optimism\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n",
+      "<ipython-input-51-b9bb0bc68d69>:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  while fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].shape[0] > 0:\n",
+      "<ipython-input-51-b9bb0bc68d69>:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  feature_to_drop = fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].sort_values(by = \"P>|z|\").tail(drop_amount).index.tolist()\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + Vigor + Dedication + Absorption + SelfControl + Interest + Control + IncStructResources + DecHinderDemands + IncChallengeDemands + IncSocialResources + Resilience + Optimism\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n",
+      "<ipython-input-51-b9bb0bc68d69>:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  while fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].shape[0] > 0:\n",
+      "<ipython-input-51-b9bb0bc68d69>:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  feature_to_drop = fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].sort_values(by = \"P>|z|\").tail(drop_amount).index.tolist()\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + Vigor + Dedication + Absorption + Interest + Control + IncStructResources + DecHinderDemands + IncChallengeDemands + IncSocialResources + Resilience + Optimism\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n",
+      "<ipython-input-51-b9bb0bc68d69>:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  while fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].shape[0] > 0:\n",
+      "<ipython-input-51-b9bb0bc68d69>:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  feature_to_drop = fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].sort_values(by = \"P>|z|\").tail(drop_amount).index.tolist()\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + Vigor + Dedication + Absorption + Interest + Control + IncStructResources + DecHinderDemands + IncSocialResources + Resilience + Optimism\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:1634: UserWarning: Random effects covariance is singular\n",
+      "  warnings.warn(msg)\n",
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/base/model.py:566: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals\n",
+      "  warnings.warn(\"Maximum Likelihood optimization failed to \"\n",
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2206: ConvergenceWarning: MixedLM optimization failed, trying a different optimizer may help.\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n",
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2218: ConvergenceWarning: Gradient optimization failed, |grad| = 0.002142\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n",
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n",
+      "<ipython-input-51-b9bb0bc68d69>:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  while fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].shape[0] > 0:\n",
+      "<ipython-input-51-b9bb0bc68d69>:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  feature_to_drop = fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].sort_values(by = \"P>|z|\").tail(drop_amount).index.tolist()\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + Vigor + Dedication + Absorption + Control + IncStructResources + DecHinderDemands + IncSocialResources + Resilience + Optimism\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n",
+      "<ipython-input-51-b9bb0bc68d69>:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  while fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].shape[0] > 0:\n",
+      "<ipython-input-51-b9bb0bc68d69>:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  feature_to_drop = fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].sort_values(by = \"P>|z|\").tail(drop_amount).index.tolist()\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + Vigor + Dedication + Absorption + Control + IncStructResources + DecHinderDemands + IncSocialResources + Resilience\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n",
+      "<ipython-input-51-b9bb0bc68d69>:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  while fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].shape[0] > 0:\n",
+      "<ipython-input-51-b9bb0bc68d69>:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  feature_to_drop = fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].sort_values(by = \"P>|z|\").tail(drop_amount).index.tolist()\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + Vigor + Dedication + Absorption + Control + IncStructResources + DecHinderDemands + Resilience\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n",
+      "<ipython-input-51-b9bb0bc68d69>:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  while fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].shape[0] > 0:\n",
+      "<ipython-input-51-b9bb0bc68d69>:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  feature_to_drop = fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].sort_values(by = \"P>|z|\").tail(drop_amount).index.tolist()\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + Vigor + Dedication + Absorption + IncStructResources + DecHinderDemands + Resilience\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n",
+      "<ipython-input-51-b9bb0bc68d69>:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  while fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].shape[0] > 0:\n",
+      "<ipython-input-51-b9bb0bc68d69>:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  feature_to_drop = fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].sort_values(by = \"P>|z|\").tail(drop_amount).index.tolist()\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + Dedication + Absorption + IncStructResources + DecHinderDemands + Resilience\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n",
+      "<ipython-input-51-b9bb0bc68d69>:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  while fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].shape[0] > 0:\n",
+      "<ipython-input-51-b9bb0bc68d69>:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  feature_to_drop = fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].sort_values(by = \"P>|z|\").tail(drop_amount).index.tolist()\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + RelatedSat + AutonomyFrust + CompetenceFrust + Dedication + Absorption + IncStructResources + DecHinderDemands\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n",
+      "<ipython-input-51-b9bb0bc68d69>:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  while fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].shape[0] > 0:\n",
+      "<ipython-input-51-b9bb0bc68d69>:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  feature_to_drop = fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].sort_values(by = \"P>|z|\").tail(drop_amount).index.tolist()\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + AutonomyFrust + CompetenceFrust + Dedication + Absorption + IncStructResources + DecHinderDemands\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n",
+      "<ipython-input-51-b9bb0bc68d69>:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  while fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].shape[0] > 0:\n",
+      "<ipython-input-51-b9bb0bc68d69>:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  feature_to_drop = fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].sort_values(by = \"P>|z|\").tail(drop_amount).index.tolist()\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ExternalSocial + ExternalMaterial + AutonomySat + CompetenceSat + AutonomyFrust + CompetenceFrust + Dedication + IncStructResources + DecHinderDemands\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n",
+      "<ipython-input-51-b9bb0bc68d69>:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  while fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].shape[0] > 0:\n"
+     ]
+    }
+   ],
+   "source": [
+    "while fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].shape[0] > 0:\n",
+    "    feature_to_drop = fixed_effect_output_no_empty.drop(\"Intercept\")[fixed_effect_output_no_empty[\"P>|z|\"] > cutoff].sort_values(by = \"P>|z|\").tail(drop_amount).index.tolist()\n",
+    "    sig_predictors = fixed_effect_output_no_empty.drop([\"Intercept\", feature_to_drop[0]]).index.tolist()\n",
+    "\n",
+    "    feature_collection = \" + \".join(sig_predictors)\n",
+    "\n",
+    "    print(feature_collection)\n",
+    "    \n",
+    "    md = smf.mixedlm(f\"{target_name} ~ {feature_collection}\", data=trans_df, groups=trans_df[\"User\"], re_formula=\"~TIME\", missing=\"drop\")\n",
+    "    mdf = md.fit(method=[\"lbfgs\"])\n",
+    "    \n",
+    "    fixed_effect_output = mdf.summary().tables[1]\n",
+    "    fixed_effect_output_no_empty = fixed_effect_output[fixed_effect_output[\"P>|z|\"] != \"\"].astype(float)\n",
+    "#     print(mdf.summary())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "continued-perry",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "            Mixed Linear Model Regression Results\n",
+      "=============================================================\n",
+      "Model:               MixedLM   Dependent Variable:   RAI     \n",
+      "No. Observations:    180       Method:               REML    \n",
+      "No. Groups:          94        Scale:                0.0029  \n",
+      "Min. group size:     1         Log-Likelihood:       192.6853\n",
+      "Max. group size:     3         Converged:            Yes     \n",
+      "Mean group size:     1.9                                     \n",
+      "-------------------------------------------------------------\n",
+      "                   Coef.  Std.Err.   z    P>|z| [0.025 0.975]\n",
+      "-------------------------------------------------------------\n",
+      "Intercept           0.269    0.044  6.180 0.000  0.184  0.355\n",
+      "ExternalSocial     -0.103    0.033 -3.066 0.002 -0.168 -0.037\n",
+      "ExternalMaterial   -0.115    0.032 -3.608 0.000 -0.177 -0.053\n",
+      "AutonomySat         0.246    0.050  4.948 0.000  0.148  0.343\n",
+      "CompetenceSat       0.124    0.030  4.143 0.000  0.066  0.183\n",
+      "AutonomyFrust      -0.127    0.036 -3.498 0.000 -0.198 -0.056\n",
+      "CompetenceFrust     0.116    0.034  3.412 0.001  0.049  0.182\n",
+      "Dedication          0.194    0.029  6.767 0.000  0.138  0.250\n",
+      "IncStructResources  0.129    0.015  8.408 0.000  0.099  0.159\n",
+      "DecHinderDemands   -0.090    0.015 -6.204 0.000 -0.119 -0.062\n",
+      "Group Var           0.002                                    \n",
+      "Group x TIME Cov    0.000                                    \n",
+      "TIME Var            0.000                                    \n",
+      "=============================================================\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(mdf.summary())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "id": "lesbian-universe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# top_feature = fixed_effect_output_no_empty.sort_values(\"P>|z|\").drop(\"Intercept\").head(1).index.tolist()[0]\n",
+    "# top_feature"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "id": "fifty-compression",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "top_feature = \"Dedication\" #based on top correlation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "id": "funded-doubt",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n"
+     ]
+    }
+   ],
+   "source": [
+    "md = smf.mixedlm(f\"{target_name} ~ {top_feature}\", data=trans_df, groups=trans_df[\"User\"], re_formula=\"~TIME\", missing=\"drop\")\n",
+    "mdf = md.fit(method=[\"lbfgs\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "id": "unknown-manitoba",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "          Mixed Linear Model Regression Results\n",
+      "==========================================================\n",
+      "Model:              MixedLM  Dependent Variable:  RAI     \n",
+      "No. Observations:   210      Method:              REML    \n",
+      "No. Groups:         105      Scale:               0.0051  \n",
+      "Min. group size:    1        Log-Likelihood:      172.0057\n",
+      "Max. group size:    3        Converged:           Yes     \n",
+      "Mean group size:    2.0                                   \n",
+      "----------------------------------------------------------\n",
+      "                 Coef. Std.Err.   z    P>|z| [0.025 0.975]\n",
+      "----------------------------------------------------------\n",
+      "Intercept        0.285    0.033  8.773 0.000  0.222  0.349\n",
+      "Dedication       0.432    0.040 10.786 0.000  0.354  0.511\n",
+      "Group Var        0.007    0.123                           \n",
+      "Group x TIME Cov 0.001    0.042                           \n",
+      "TIME Var         0.000    0.023                           \n",
+      "==========================================================\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(mdf.summary())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "id": "operating-reality",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 4 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axs = diagnostic_plots(model_fit=mdf,\n",
+    "                                             X=None,\n",
+    "                                             y=None,\n",
+    "                                             figsize = (8,8),\n",
+    "                                             limit_cooks_plot = False,\n",
+    "                                             subplot_adjust_args={\"wspace\": 0.3, \"hspace\": 0.3}\n",
+    "                                            )\n",
+    "fig.savefig(f\"images/{target_name}_{top_feature}_model_diagnostics.png\", dpi=400, format=\"png\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "id": "laughing-intensity",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_test = pd.DataFrame({\"User\": trans_df.loc[mdf.fittedvalues.index, \"User\"],\n",
+    "    \"fitted\": mdf.fittedvalues,\n",
+    "              target_name: trans_df.loc[mdf.fittedvalues.index, target_name]}).set_index(\"User\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "id": "korean-stage",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 2160x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(30,6))\n",
+    "plt.title(f\"Linear Mixed Model | Outcome Measure == {target_name} | RMSE = {round(np.sqrt(mean_squared_error(df_test['fitted'], df_test[target_name])),2)} | bias Error = { round(np.mean(df_test['fitted'] - df_test[target_name]), 2)} \")\n",
+    "markerline, stemlines, baseline = plt.stem(df_test.index, df_test['fitted'] - df_test[target_name], use_line_collection=True, linefmt=\"black\", markerfmt='D')\n",
+    "plt.setp(markerline, \"alpha\", 0.5)\n",
+    "\n",
+    "plt.hlines(y=round(np.sqrt(mean_squared_error(df_test['fitted'], df_test[target_name])),2), colors=\"grey\", linestyles='-.', label='+ RMSE', \n",
+    "           xmin = df_test.index.min(), xmax = \"Moti201\"\n",
+    "          ) \n",
+    "plt.hlines(y=round(-np.sqrt(mean_squared_error(df_test['fitted'], df_test[target_name])),2), colors=\"grey\", linestyles='-.', label='- RMSE', \n",
+    "            xmin = df_test.index.min(), xmax = \"Moti201\"\n",
+    "          ) \n",
+    "plt.xticks(rotation=90, ticks=df_test.index)\n",
+    "plt.ylabel(f\"'Error = fitted values - real {target_name}'\")\n",
+    "# plt.ylim([-.5,.6])\n",
+    "_ = plt.legend()\n",
+    "plt.savefig(f\"images/{target_name}_fitted_RMSE_plot.png\", dpi=400, format=\"png\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "id": "cubic-closing",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(0.0, 1.0)"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "trans_df.loc[mdf.fittedvalues.index, target_name].min(), trans_df.loc[mdf.fittedvalues.index, target_name].max()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "id": "ready-ratio",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>RMSE</th>\n",
+       "      <th>MAE</th>\n",
+       "      <th>bias error</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>RAI</th>\n",
+       "      <td>0.06</td>\n",
+       "      <td>0.04</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     RMSE   MAE  bias error\n",
+       "RAI  0.06  0.04         0.0"
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fit_errors_df = pd.DataFrame({\"RMSE\": np.sqrt(mean_squared_error(df_test['fitted'], df_test[target_name])), \n",
+    "              \"MAE\": mean_absolute_error(df_test['fitted'], df_test[target_name]),\n",
+    "              \"bias error\": np.mean(df_test['fitted'] - df_test[target_name])},\n",
+    "              index=[target_name])\n",
+    "fit_errors_df.round(2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "id": "prepared-ebony",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 700x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_ = sns.lmplot(x=top_feature, \n",
+    "               y=target_name, \n",
+    "               hue=\"TIME\", \n",
+    "               data=trans_df,\n",
+    "               ci=None,\n",
+    "               scatter_kws={'s':100}, \n",
+    "               height=6, \n",
+    "               aspect=1.5,\n",
+    "              legend=True)\n",
+    "_ = sns.regplot(x=top_feature, \n",
+    "                y=target_name, \n",
+    "                data=trans_df,\n",
+    "                color=\"black\", \n",
+    "                scatter_kws={'s': 20}, \n",
+    "                line_kws={\"linestyle\": \"--\"})\n",
+    "_ = plt.title(f\"{target_name} vs {top_feature.replace('_', ' ').title()}\\nblack line is the regression line of the group | coloured lines are regression lines within TIME\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "id": "unavailable-riding",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 648x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_ = sns.lmplot(x=top_feature, \n",
+    "               y=target_name, \n",
+    "               hue=\"User\", \n",
+    "               data=trans_df,\n",
+    "               ci=None,\n",
+    "               scatter_kws={'s':100}, \n",
+    "               height=6, \n",
+    "               aspect=1.5,\n",
+    "              legend=False)\n",
+    "_ = sns.regplot(x=top_feature, \n",
+    "                y=target_name, \n",
+    "                data=trans_df,\n",
+    "                color=\"black\", \n",
+    "                scatter_kws={'s': 20}, \n",
+    "                line_kws={\"linestyle\": \"--\"})\n",
+    "_ = plt.title(f\"{target_name} vs {top_feature.replace('_', ' ').title()}\\nblack line is the regression line of the group | coloured lines are regression lines within User\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "controlling-tennis",
+   "metadata": {},
+   "source": [
+    "# Create a train and test set, use a fitted model to predict previously unseen rows (this is not controlled for user)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "id": "executed-bruce",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "top_feature = \"Dedication\" #based on top correlation\n",
+    "\n",
+    "x_train_index = trans_df.sample(frac=0.8, random_state=42).index\n",
+    "\n",
+    "x_test_index = trans_df.drop(x_train_index, axis=0).index"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "id": "passive-moses",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/base/model.py:566: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals\n",
+      "  warnings.warn(\"Maximum Likelihood optimization failed to \"\n",
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2206: ConvergenceWarning: MixedLM optimization failed, trying a different optimizer may help.\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n",
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2218: ConvergenceWarning: Gradient optimization failed, |grad| = 0.933821\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n",
+      "/opt/miniconda3/envs/general/lib/python3.9/site-packages/statsmodels/regression/mixed_linear_model.py:2237: ConvergenceWarning: The MLE may be on the boundary of the parameter space.\n",
+      "  warnings.warn(msg, ConvergenceWarning)\n"
+     ]
+    }
+   ],
+   "source": [
+    "md = smf.mixedlm(f\"{target_name} ~ {top_feature}\", data=trans_df.loc[x_train_index, :], groups=trans_df.loc[x_train_index, \"User\"], re_formula=\"~TIME\", missing=\"drop\")\n",
+    "mdf = md.fit(method=[\"lbfgs\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "id": "dense-light",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "          Mixed Linear Model Regression Results\n",
+      "=========================================================\n",
+      "Model:             MixedLM  Dependent Variable:  RAI     \n",
+      "No. Observations:  167      Method:              REML    \n",
+      "No. Groups:        97       Scale:               0.0043  \n",
+      "Min. group size:   1        Log-Likelihood:      140.8881\n",
+      "Max. group size:   3        Converged:           No      \n",
+      "Mean group size:   1.7                                   \n",
+      "---------------------------------------------------------\n",
+      "                 Coef. Std.Err.   z   P>|z| [0.025 0.975]\n",
+      "---------------------------------------------------------\n",
+      "Intercept        0.318    0.036 8.835 0.000  0.248  0.389\n",
+      "Dedication       0.397    0.044 9.099 0.000  0.312  0.483\n",
+      "Group Var        0.007    0.095                          \n",
+      "Group x TIME Cov 0.001    0.027                          \n",
+      "TIME Var         0.000    0.014                          \n",
+      "=========================================================\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(mdf.summary())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "id": "early-oracle",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_test = pd.DataFrame({\"User\": trans_df.loc[x_test_index, \"User\"],\n",
+    "    \"predicted\": mdf.predict(trans_df.loc[x_test_index, \"Dedication\"]),\n",
+    "              target_name: trans_df.loc[x_test_index, target_name]}).set_index(\"User\").dropna()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "id": "paperback-principle",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 2160x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(30,6))\n",
+    "plt.title(f\"Linear Mixed Model | Outcome Measure == {target_name} | RMSE = {round(np.sqrt(mean_squared_error(df_test['predicted'], df_test[target_name])),2)} | bias Error = { round(np.mean(df_test['predicted'] - df_test[target_name]), 2)} \")\n",
+    "markerline, stemlines, baseline = plt.stem(df_test.index, df_test['predicted'] - df_test[target_name], use_line_collection=True, linefmt=\"black\", markerfmt='D')\n",
+    "plt.setp(markerline, \"alpha\", 0.5)\n",
+    "\n",
+    "plt.hlines(y=round(np.sqrt(mean_squared_error(df_test['predicted'], df_test[target_name])),2), colors=\"grey\", linestyles='-.', label='+ RMSE', \n",
+    "           xmin = df_test.index.min(), xmax = \"Moti201\"\n",
+    "          ) \n",
+    "plt.hlines(y=round(-np.sqrt(mean_squared_error(df_test['predicted'], df_test[target_name])),2), colors=\"grey\", linestyles='-.', label='- RMSE', \n",
+    "            xmin = df_test.index.min(), xmax = \"Moti201\"\n",
+    "          ) \n",
+    "plt.xticks(rotation=90, ticks=df_test.index)\n",
+    "plt.ylabel(f\"'Error = predicted values - real {target_name}'\")\n",
+    "# plt.ylim([-.5,.6])\n",
+    "_ = plt.legend()\n",
+    "plt.savefig(f\"images/{target_name}_pred_test_RMSE_plot.png\", dpi=400, format=\"png\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "id": "handled-cannon",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>RMSE</th>\n",
+       "      <th>MAE</th>\n",
+       "      <th>bias error</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>RAI</th>\n",
+       "      <td>0.14</td>\n",
+       "      <td>0.1</td>\n",
+       "      <td>0.01</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     RMSE  MAE  bias error\n",
+       "RAI  0.14  0.1        0.01"
+      ]
+     },
+     "execution_count": 70,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fit_errors_df = pd.DataFrame({\"RMSE\": np.sqrt(mean_squared_error(df_test['predicted'], df_test[target_name])), \n",
+    "              \"MAE\": mean_absolute_error(df_test['predicted'], df_test[target_name]),\n",
+    "              \"bias error\": np.mean(df_test['predicted'] - df_test[target_name])},\n",
+    "              index=[target_name])\n",
+    "fit_errors_df.round(2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "modular-kidney",
+   "metadata": {},
+   "source": [
+    "# Users included in the training set"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "id": "chronic-brooklyn",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['AAMoti?1', 'AAMoti?4', 'AAMoti?5', 'AAMoti?6', 'Moti105',\n",
+       "       'Moti106', 'Moti108', 'Moti109', 'Moti110', 'Moti111', 'Moti112',\n",
+       "       'Moti113', 'Moti114', 'Moti115', 'Moti116', 'Moti117', 'Moti118',\n",
+       "       'Moti119', 'Moti120', 'Moti121', 'Moti122', 'Moti123', 'Moti125',\n",
+       "       'Moti126', 'Moti127', 'Moti128', 'Moti129', 'Moti130', 'Moti131',\n",
+       "       'Moti132', 'Moti134', 'Moti135', 'Moti137', 'Moti138', 'Moti140',\n",
+       "       'Moti141', 'Moti143', 'Moti144', 'Moti146', 'Moti147', 'Moti148',\n",
+       "       'Moti149', 'Moti150', 'Moti151', 'Moti152', 'Moti153', 'Moti154',\n",
+       "       'Moti155', 'Moti156', 'Moti157', 'Moti159', 'Moti160', 'Moti161',\n",
+       "       'Moti162', 'Moti163', 'Moti164', 'Moti165', 'Moti166', 'Moti167',\n",
+       "       'Moti168', 'Moti169', 'Moti170', 'Moti171', 'Moti172', 'Moti173',\n",
+       "       'Moti175', 'Moti176', 'Moti177', 'Moti178', 'Moti179', 'Moti180',\n",
+       "       'Moti181', 'Moti182', 'Moti183', 'Moti184', 'Moti185', 'Moti186',\n",
+       "       'Moti187', 'Moti188', 'Moti189', 'Moti190', 'Moti191', 'Moti192',\n",
+       "       'Moti193', 'Moti194', 'Moti195', 'Moti197', 'Moti198', 'Moti199',\n",
+       "       'Moti200', 'Moti202', 'Moti203', 'Moti205', 'Moti206', 'Moti207',\n",
+       "       'Moti208', 'Moti209', 'Moti212', 'Moti213', 'Moti215', 'Moti216',\n",
+       "       'Moti217', 'Moti218'], dtype=object)"
+      ]
+     },
+     "execution_count": 84,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "trans_df.loc[x_train_index, :].User.sort_values().unique()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "oriental-tsunami",
+   "metadata": {},
+   "source": [
+    "# Users included in the test set"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "id": "protected-blast",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['AAMoti?2', 'Moti109', 'Moti110', 'Moti114', 'Moti115', 'Moti116',\n",
+       "       'Moti117', 'Moti118', 'Moti121', 'Moti122', 'Moti123', 'Moti127',\n",
+       "       'Moti143', 'Moti144', 'Moti145', 'Moti147', 'Moti150', 'Moti156',\n",
+       "       'Moti158', 'Moti160', 'Moti163', 'Moti164', 'Moti165', 'Moti167',\n",
+       "       'Moti168', 'Moti173', 'Moti178', 'Moti183', 'Moti187', 'Moti188',\n",
+       "       'Moti190', 'Moti191', 'Moti196', 'Moti201', 'Moti203', 'Moti204',\n",
+       "       'Moti207', 'Moti210', 'Moti211', 'Moti218'], dtype=object)"
+      ]
+     },
+     "execution_count": 85,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "trans_df.loc[x_test_index, :].User.sort_values().unique()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "metallic-modeling",
+   "metadata": {},
+   "source": [
+    "# Users in the test set that were not included in the training set"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "id": "sealed-oxide",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'AAMoti?2',\n",
+       " 'Moti145',\n",
+       " 'Moti158',\n",
+       " 'Moti196',\n",
+       " 'Moti201',\n",
+       " 'Moti204',\n",
+       " 'Moti210',\n",
+       " 'Moti211'}"
+      ]
+     },
+     "execution_count": 89,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# set(trans_df.loc[x_train_index, :].User.unique().tolist()) - set(trans_df.loc[x_test_index, :].User.unique().tolist())\n",
+    "set(trans_df.loc[x_test_index, :].User.unique().tolist()) - set(trans_df.loc[x_train_index, :].User.unique().tolist()).intersection(set(trans_df.loc[x_test_index, :].User.unique().tolist()))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "id": "virtual-pearl",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.08000000000000002"
+      ]
+     },
+     "execution_count": 90,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "0.14 - 0.06"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "general",
+   "language": "python",
+   "name": "general"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}