diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..87620ac7e74efee566c6ee9d2ed7281ebafb4788
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1 @@
+.ipynb_checkpoints/
diff --git a/Tarea-Clase-5-Ejercicio-01.html b/Tarea-Clase-5-Ejercicio-01.html
new file mode 100644
index 0000000000000000000000000000000000000000..3f14863c69df4c80849c52bd39113988990c45fc
--- /dev/null
+++ b/Tarea-Clase-5-Ejercicio-01.html
@@ -0,0 +1,16534 @@
+<!DOCTYPE html>
+<html>
+<head><meta charset="utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0">
+
+<title>Tarea-Clase-5-Ejercicio-01</title><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
+
+
+
+
+<style type="text/css">
+ pre { line-height: 125%; margin: 0; }
+td.linenos pre { color: #000000; background-color: #f0f0f0; padding-left: 5px; padding-right: 5px; }
+span.linenos { color: #000000; background-color: #f0f0f0; padding-left: 5px; padding-right: 5px; }
+td.linenos pre.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+.highlight .hll { background-color: var(--jp-cell-editor-active-background) }
+.highlight { background: var(--jp-cell-editor-background); color: var(--jp-mirror-editor-variable-color) }
+.highlight .c { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment */
+.highlight .err { color: var(--jp-mirror-editor-error-color) } /* Error */
+.highlight .k { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword */
+.highlight .o { color: var(--jp-mirror-editor-operator-color); font-weight: bold } /* Operator */
+.highlight .p { color: var(--jp-mirror-editor-punctuation-color) } /* Punctuation */
+.highlight .ch { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Hashbang */
+.highlight .cm { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Multiline */
+.highlight .cp { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Preproc */
+.highlight .cpf { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.PreprocFile */
+.highlight .c1 { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Single */
+.highlight .cs { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Special */
+.highlight .kc { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Constant */
+.highlight .kd { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Declaration */
+.highlight .kn { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Namespace */
+.highlight .kp { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Pseudo */
+.highlight .kr { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Reserved */
+.highlight .kt { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Type */
+.highlight .m { color: var(--jp-mirror-editor-number-color) } /* Literal.Number */
+.highlight .s { color: var(--jp-mirror-editor-string-color) } /* Literal.String */
+.highlight .ow { color: var(--jp-mirror-editor-operator-color); font-weight: bold } /* Operator.Word */
+.highlight .w { color: var(--jp-mirror-editor-variable-color) } /* Text.Whitespace */
+.highlight .mb { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Bin */
+.highlight .mf { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Float */
+.highlight .mh { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Hex */
+.highlight .mi { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Integer */
+.highlight .mo { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Oct */
+.highlight .sa { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Affix */
+.highlight .sb { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Backtick */
+.highlight .sc { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Char */
+.highlight .dl { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Delimiter */
+.highlight .sd { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Doc */
+.highlight .s2 { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Double */
+.highlight .se { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Escape */
+.highlight .sh { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Heredoc */
+.highlight .si { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Interpol */
+.highlight .sx { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Other */
+.highlight .sr { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Regex */
+.highlight .s1 { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Single */
+.highlight .ss { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Symbol */
+.highlight .il { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Integer.Long */
+ </style>
+
+
+
+<style type="text/css">
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*
+ * Mozilla scrollbar styling
+ */
+
+/* use standard opaque scrollbars for most nodes */
+[data-jp-theme-scrollbars='true'] {
+ scrollbar-color: rgb(var(--jp-scrollbar-thumb-color))
+ var(--jp-scrollbar-background-color);
+}
+
+/* for code nodes, use a transparent style of scrollbar. These selectors
+ * will match lower in the tree, and so will override the above */
+[data-jp-theme-scrollbars='true'] .CodeMirror-hscrollbar,
+[data-jp-theme-scrollbars='true'] .CodeMirror-vscrollbar {
+ scrollbar-color: rgba(var(--jp-scrollbar-thumb-color), 0.5) transparent;
+}
+
+/*
+ * Webkit scrollbar styling
+ */
+
+/* use standard opaque scrollbars for most nodes */
+
+[data-jp-theme-scrollbars='true'] ::-webkit-scrollbar,
+[data-jp-theme-scrollbars='true'] ::-webkit-scrollbar-corner {
+ background: var(--jp-scrollbar-background-color);
+}
+
+[data-jp-theme-scrollbars='true'] ::-webkit-scrollbar-thumb {
+ background: rgb(var(--jp-scrollbar-thumb-color));
+ border: var(--jp-scrollbar-thumb-margin) solid transparent;
+ background-clip: content-box;
+ border-radius: var(--jp-scrollbar-thumb-radius);
+}
+
+[data-jp-theme-scrollbars='true'] ::-webkit-scrollbar-track:horizontal {
+ border-left: var(--jp-scrollbar-endpad) solid
+ var(--jp-scrollbar-background-color);
+ border-right: var(--jp-scrollbar-endpad) solid
+ var(--jp-scrollbar-background-color);
+}
+
+[data-jp-theme-scrollbars='true'] ::-webkit-scrollbar-track:vertical {
+ border-top: var(--jp-scrollbar-endpad) solid
+ var(--jp-scrollbar-background-color);
+ border-bottom: var(--jp-scrollbar-endpad) solid
+ var(--jp-scrollbar-background-color);
+}
+
+/* for code nodes, use a transparent style of scrollbar */
+
+[data-jp-theme-scrollbars='true'] .CodeMirror-hscrollbar::-webkit-scrollbar,
+[data-jp-theme-scrollbars='true'] .CodeMirror-vscrollbar::-webkit-scrollbar,
+[data-jp-theme-scrollbars='true']
+ .CodeMirror-hscrollbar::-webkit-scrollbar-corner,
+[data-jp-theme-scrollbars='true']
+ .CodeMirror-vscrollbar::-webkit-scrollbar-corner {
+ background-color: transparent;
+}
+
+[data-jp-theme-scrollbars='true']
+ .CodeMirror-hscrollbar::-webkit-scrollbar-thumb,
+[data-jp-theme-scrollbars='true']
+ .CodeMirror-vscrollbar::-webkit-scrollbar-thumb {
+ background: rgba(var(--jp-scrollbar-thumb-color), 0.5);
+ border: var(--jp-scrollbar-thumb-margin) solid transparent;
+ background-clip: content-box;
+ border-radius: var(--jp-scrollbar-thumb-radius);
+}
+
+[data-jp-theme-scrollbars='true']
+ .CodeMirror-hscrollbar::-webkit-scrollbar-track:horizontal {
+ border-left: var(--jp-scrollbar-endpad) solid transparent;
+ border-right: var(--jp-scrollbar-endpad) solid transparent;
+}
+
+[data-jp-theme-scrollbars='true']
+ .CodeMirror-vscrollbar::-webkit-scrollbar-track:vertical {
+ border-top: var(--jp-scrollbar-endpad) solid transparent;
+ border-bottom: var(--jp-scrollbar-endpad) solid transparent;
+}
+
+/*
+ * Phosphor
+ */
+
+.lm-ScrollBar[data-orientation='horizontal'] {
+ min-height: 16px;
+ max-height: 16px;
+ min-width: 45px;
+ border-top: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] {
+ min-width: 16px;
+ max-width: 16px;
+ min-height: 45px;
+ border-left: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar-button {
+ background-color: #f0f0f0;
+ background-position: center center;
+ min-height: 15px;
+ max-height: 15px;
+ min-width: 15px;
+ max-width: 15px;
+}
+
+.lm-ScrollBar-button:hover {
+ background-color: #dadada;
+}
+
+.lm-ScrollBar-button.lm-mod-active {
+ background-color: #cdcdcd;
+}
+
+.lm-ScrollBar-track {
+ background: #f0f0f0;
+}
+
+.lm-ScrollBar-thumb {
+ background: #cdcdcd;
+}
+
+.lm-ScrollBar-thumb:hover {
+ background: #bababa;
+}
+
+.lm-ScrollBar-thumb.lm-mod-active {
+ background: #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='horizontal'] .lm-ScrollBar-thumb {
+ height: 100%;
+ min-width: 15px;
+ border-left: 1px solid #a0a0a0;
+ border-right: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] .lm-ScrollBar-thumb {
+ width: 100%;
+ min-height: 15px;
+ border-top: 1px solid #a0a0a0;
+ border-bottom: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='horizontal']
+ .lm-ScrollBar-button[data-action='decrement'] {
+ background-image: var(--jp-icon-caret-left);
+ background-size: 17px;
+}
+
+.lm-ScrollBar[data-orientation='horizontal']
+ .lm-ScrollBar-button[data-action='increment'] {
+ background-image: var(--jp-icon-caret-right);
+ background-size: 17px;
+}
+
+.lm-ScrollBar[data-orientation='vertical']
+ .lm-ScrollBar-button[data-action='decrement'] {
+ background-image: var(--jp-icon-caret-up);
+ background-size: 17px;
+}
+
+.lm-ScrollBar[data-orientation='vertical']
+ .lm-ScrollBar-button[data-action='increment'] {
+ background-image: var(--jp-icon-caret-down);
+ background-size: 17px;
+}
+
+/*-----------------------------------------------------------------------------
+| 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-Widget, /* </DEPRECATED> */
+.lm-Widget {
+ box-sizing: border-box;
+ position: relative;
+ overflow: hidden;
+ cursor: default;
+}
+
+
+/* <DEPRECATED> */ .p-Widget.p-mod-hidden, /* </DEPRECATED> */
+.lm-Widget.lm-mod-hidden {
+ display: none !important;
+}
+
+/*-----------------------------------------------------------------------------
+| 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-CommandPalette, /* </DEPRECATED> */
+.lm-CommandPalette {
+ display: flex;
+ flex-direction: column;
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+
+/* <DEPRECATED> */ .p-CommandPalette-search, /* </DEPRECATED> */
+.lm-CommandPalette-search {
+ flex: 0 0 auto;
+}
+
+
+/* <DEPRECATED> */ .p-CommandPalette-content, /* </DEPRECATED> */
+.lm-CommandPalette-content {
+ flex: 1 1 auto;
+ margin: 0;
+ padding: 0;
+ min-height: 0;
+ overflow: auto;
+ list-style-type: none;
+}
+
+
+/* <DEPRECATED> */ .p-CommandPalette-header, /* </DEPRECATED> */
+.lm-CommandPalette-header {
+ overflow: hidden;
+ white-space: nowrap;
+ text-overflow: ellipsis;
+}
+
+
+/* <DEPRECATED> */ .p-CommandPalette-item, /* </DEPRECATED> */
+.lm-CommandPalette-item {
+ display: flex;
+ flex-direction: row;
+}
+
+
+/* <DEPRECATED> */ .p-CommandPalette-itemIcon, /* </DEPRECATED> */
+.lm-CommandPalette-itemIcon {
+ flex: 0 0 auto;
+}
+
+
+/* <DEPRECATED> */ .p-CommandPalette-itemContent, /* </DEPRECATED> */
+.lm-CommandPalette-itemContent {
+ flex: 1 1 auto;
+ overflow: hidden;
+}
+
+
+/* <DEPRECATED> */ .p-CommandPalette-itemShortcut, /* </DEPRECATED> */
+.lm-CommandPalette-itemShortcut {
+ flex: 0 0 auto;
+}
+
+
+/* <DEPRECATED> */ .p-CommandPalette-itemLabel, /* </DEPRECATED> */
+.lm-CommandPalette-itemLabel {
+ overflow: hidden;
+ white-space: nowrap;
+ text-overflow: ellipsis;
+}
+
+/*-----------------------------------------------------------------------------
+| 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-DockPanel, /* </DEPRECATED> */
+.lm-DockPanel {
+ z-index: 0;
+}
+
+
+/* <DEPRECATED> */ .p-DockPanel-widget, /* </DEPRECATED> */
+.lm-DockPanel-widget {
+ z-index: 0;
+}
+
+
+/* <DEPRECATED> */ .p-DockPanel-tabBar, /* </DEPRECATED> */
+.lm-DockPanel-tabBar {
+ z-index: 1;
+}
+
+
+/* <DEPRECATED> */ .p-DockPanel-handle, /* </DEPRECATED> */
+.lm-DockPanel-handle {
+ z-index: 2;
+}
+
+
+/* <DEPRECATED> */ .p-DockPanel-handle.p-mod-hidden, /* </DEPRECATED> */
+.lm-DockPanel-handle.lm-mod-hidden {
+ display: none !important;
+}
+
+
+/* <DEPRECATED> */ .p-DockPanel-handle:after, /* </DEPRECATED> */
+.lm-DockPanel-handle:after {
+ position: absolute;
+ top: 0;
+ left: 0;
+ width: 100%;
+ height: 100%;
+ content: '';
+}
+
+
+/* <DEPRECATED> */
+.p-DockPanel-handle[data-orientation='horizontal'],
+/* </DEPRECATED> */
+.lm-DockPanel-handle[data-orientation='horizontal'] {
+ cursor: ew-resize;
+}
+
+
+/* <DEPRECATED> */
+.p-DockPanel-handle[data-orientation='vertical'],
+/* </DEPRECATED> */
+.lm-DockPanel-handle[data-orientation='vertical'] {
+ cursor: ns-resize;
+}
+
+
+/* <DEPRECATED> */
+.p-DockPanel-handle[data-orientation='horizontal']:after,
+/* </DEPRECATED> */
+.lm-DockPanel-handle[data-orientation='horizontal']:after {
+ left: 50%;
+ min-width: 8px;
+ transform: translateX(-50%);
+}
+
+
+/* <DEPRECATED> */
+.p-DockPanel-handle[data-orientation='vertical']:after,
+/* </DEPRECATED> */
+.lm-DockPanel-handle[data-orientation='vertical']:after {
+ top: 50%;
+ min-height: 8px;
+ transform: translateY(-50%);
+}
+
+
+/* <DEPRECATED> */ .p-DockPanel-overlay, /* </DEPRECATED> */
+.lm-DockPanel-overlay {
+ z-index: 3;
+ box-sizing: border-box;
+ pointer-events: none;
+}
+
+
+/* <DEPRECATED> */ .p-DockPanel-overlay.p-mod-hidden, /* </DEPRECATED> */
+.lm-DockPanel-overlay.lm-mod-hidden {
+ display: none !important;
+}
+
+/*-----------------------------------------------------------------------------
+| 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-Menu, /* </DEPRECATED> */
+.lm-Menu {
+ z-index: 10000;
+ position: absolute;
+ white-space: nowrap;
+ overflow-x: hidden;
+ overflow-y: auto;
+ outline: none;
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+
+/* <DEPRECATED> */ .p-Menu-content, /* </DEPRECATED> */
+.lm-Menu-content {
+ margin: 0;
+ padding: 0;
+ display: table;
+ list-style-type: none;
+}
+
+
+/* <DEPRECATED> */ .p-Menu-item, /* </DEPRECATED> */
+.lm-Menu-item {
+ display: table-row;
+}
+
+
+/* <DEPRECATED> */
+.p-Menu-item.p-mod-hidden,
+.p-Menu-item.p-mod-collapsed,
+/* </DEPRECATED> */
+.lm-Menu-item.lm-mod-hidden,
+.lm-Menu-item.lm-mod-collapsed {
+ display: none !important;
+}
+
+
+/* <DEPRECATED> */
+.p-Menu-itemIcon,
+.p-Menu-itemSubmenuIcon,
+/* </DEPRECATED> */
+.lm-Menu-itemIcon,
+.lm-Menu-itemSubmenuIcon {
+ display: table-cell;
+ text-align: center;
+}
+
+
+/* <DEPRECATED> */ .p-Menu-itemLabel, /* </DEPRECATED> */
+.lm-Menu-itemLabel {
+ display: table-cell;
+ text-align: left;
+}
+
+
+/* <DEPRECATED> */ .p-Menu-itemShortcut, /* </DEPRECATED> */
+.lm-Menu-itemShortcut {
+ display: table-cell;
+ text-align: right;
+}
+
+/*-----------------------------------------------------------------------------
+| 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-MenuBar, /* </DEPRECATED> */
+.lm-MenuBar {
+ outline: none;
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+
+/* <DEPRECATED> */ .p-MenuBar-content, /* </DEPRECATED> */
+.lm-MenuBar-content {
+ margin: 0;
+ padding: 0;
+ display: flex;
+ flex-direction: row;
+ list-style-type: none;
+}
+
+
+/* <DEPRECATED> */ .p--MenuBar-item, /* </DEPRECATED> */
+.lm-MenuBar-item {
+ box-sizing: border-box;
+}
+
+
+/* <DEPRECATED> */
+.p-MenuBar-itemIcon,
+.p-MenuBar-itemLabel,
+/* </DEPRECATED> */
+.lm-MenuBar-itemIcon,
+.lm-MenuBar-itemLabel {
+ display: inline-block;
+}
+
+/*-----------------------------------------------------------------------------
+| 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-ScrollBar, /* </DEPRECATED> */
+.lm-ScrollBar {
+ display: flex;
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+
+/* <DEPRECATED> */
+.p-ScrollBar[data-orientation='horizontal'],
+/* </DEPRECATED> */
+.lm-ScrollBar[data-orientation='horizontal'] {
+ flex-direction: row;
+}
+
+
+/* <DEPRECATED> */
+.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:"î›·"; }
+
+.bp3-icon-add-to-artifact::before{
+ content:""; }
+
+.bp3-icon-add-to-folder::before{
+ content:"î›’"; }
+
+.bp3-icon-airplane::before{
+ content:"î‹"; }
+
+.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:"î›°"; }
+
+.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:"â†"; }
+
+.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:"îš"; }
+
+.bp3-icon-bank-account::before{
+ content:"î¯"; }
+
+.bp3-icon-barcode::before{
+ content:""; }
+
+.bp3-icon-blank::before{
+ content:""; }
+
+.bp3-icon-blocked-person::before{
+ content:"î¨"; }
+
+.bp3-icon-bold::before{
+ content:""; }
+
+.bp3-icon-book::before{
+ content:""; }
+
+.bp3-icon-bookmark::before{
+ content:""; }
+
+.bp3-icon-box::before{
+ content:"îš¿"; }
+
+.bp3-icon-briefcase::before{
+ content:"î™´"; }
+
+.bp3-icon-bring-data::before{
+ content:""; }
+
+.bp3-icon-build::before{
+ content:"îœ"; }
+
+.bp3-icon-calculator::before{
+ content:""; }
+
+.bp3-icon-calendar::before{
+ content:""; }
+
+.bp3-icon-camera::before{
+ content:"îšž"; }
+
+.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:"î°"; }
+
+.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:"îš—"; }
+
+.bp3-icon-chevron-forward::before{
+ content:"î› "; }
+
+.bp3-icon-chevron-left::before{
+ content:"îš”"; }
+
+.bp3-icon-chevron-right::before{
+ content:"îš•"; }
+
+.bp3-icon-chevron-up::before{
+ content:"îš–"; }
+
+.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:"îš‹"; }
+
+.bp3-icon-circle-arrow-up::before{
+ content:"îš"; }
+
+.bp3-icon-citation::before{
+ content:""; }
+
+.bp3-icon-clean::before{
+ content:""; }
+
+.bp3-icon-clipboard::before{
+ content:"î˜"; }
+
+.bp3-icon-cloud::before{
+ content:"â˜"; }
+
+.bp3-icon-cloud-download::before{
+ content:"îš"; }
+
+.bp3-icon-cloud-upload::before{
+ content:"îš‘"; }
+
+.bp3-icon-code::before{
+ content:""; }
+
+.bp3-icon-code-block::before{
+ content:"î›…"; }
+
+.bp3-icon-cog::before{
+ content:"î™…"; }
+
+.bp3-icon-collapse-all::before{
+ content:"î£"; }
+
+.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:"îž›"; }
+
+.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:"îž´"; }
+
+.bp3-icon-cube::before{
+ content:""; }
+
+.bp3-icon-cube-add::before{
+ content:""; }
+
+.bp3-icon-cube-remove::before{
+ content:"îŸ"; }
+
+.bp3-icon-curved-range-chart::before{
+ content:""; }
+
+.bp3-icon-cut::before{
+ content:""; }
+
+.bp3-icon-dashboard::before{
+ content:"î‘"; }
+
+.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:"îž³"; }
+
+.bp3-icon-direction-left::before{
+ content:"îš"; }
+
+.bp3-icon-direction-right::before{
+ content:"îš‚"; }
+
+.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:"îœ"; }
+
+.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:"â"; }
+
+.bp3-icon-endorsed::before{
+ content:"îŸ"; }
+
+.bp3-icon-envelope::before{
+ content:"✉"; }
+
+.bp3-icon-equals::before{
+ content:""; }
+
+.bp3-icon-eraser::before{
+ content:"î³"; }
+
+.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:"î¤"; }
+
+.bp3-icon-export::before{
+ content:""; }
+
+.bp3-icon-eye-off::before{
+ content:""; }
+
+.bp3-icon-eye-on::before{
+ content:"îš"; }
+
+.bp3-icon-eye-open::before{
+ content:""; }
+
+.bp3-icon-fast-backward::before{
+ content:""; }
+
+.bp3-icon-fast-forward::before{
+ content:""; }
+
+.bp3-icon-feed::before{
+ content:"î™–"; }
+
+.bp3-icon-feed-subscribed::before{
+ content:"îž"; }
+
+.bp3-icon-film::before{
+ content:"îš¡"; }
+
+.bp3-icon-filter::before{
+ content:""; }
+
+.bp3-icon-filter-keep::before{
+ content:""; }
+
+.bp3-icon-filter-list::before{
+ content:"î›®"; }
+
+.bp3-icon-filter-open::before{
+ content:""; }
+
+.bp3-icon-filter-remove::before{
+ content:"îž"; }
+
+.bp3-icon-flag::before{
+ content:"âš‘"; }
+
+.bp3-icon-flame::before{
+ content:"îž©"; }
+
+.bp3-icon-flash::before{
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+
+.bp3-icon-unpin::before{
+ content:"î™"; }
+
+.bp3-icon-unresolve::before{
+ content:""; }
+
+.bp3-icon-updated::before{
+ content:""; }
+
+.bp3-icon-upload::before{
+ content:"îš"; }
+
+.bp3-icon-user::before{
+ content:""; }
+
+.bp3-icon-variable::before{
+ content:""; }
+
+.bp3-icon-vertical-bar-chart-asc::before{
+ content:"î›"; }
+
+.bp3-icon-vertical-bar-chart-desc::before{
+ content:""; }
+
+.bp3-icon-vertical-distribution::before{
+ content:""; }
+
+.bp3-icon-video::before{
+ content:"îš "; }
+
+.bp3-icon-volume-down::before{
+ content:""; }
+
+.bp3-icon-volume-off::before{
+ content:""; }
+
+.bp3-icon-volume-up::before{
+ content:""; }
+
+.bp3-icon-walk::before{
+ content:"îž"; }
+
+.bp3-icon-warning-sign::before{
+ content:""; }
+
+.bp3-icon-waterfall-chart::before{
+ content:""; }
+
+.bp3-icon-widget::before{
+ content:""; }
+
+.bp3-icon-widget-button::before{
+ content:"îž"; }
+
+.bp3-icon-widget-footer::before{
+ content:"îž’"; }
+
+.bp3-icon-widget-header::before{
+ content:"îž‘"; }
+
+.bp3-icon-wrench::before{
+ content:""; }
+
+.bp3-icon-zoom-in::before{
+ content:"î™"; }
+
+.bp3-icon-zoom-out::before{
+ content:""; }
+
+.bp3-icon-zoom-to-fit::before{
+ content:"î™»"; }
+.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:"î›—"; }
+ .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:"îš•"; }
+
+.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,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);
+ --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,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTkuNjQgNy42NGMuMjMtLjUuMzYtMS4wNS4zNi0xLjY0IDAtMi4yMS0xLjc5LTQtNC00UzIgMy43OSAyIDZzMS43OSA0IDQgNGMuNTkgMCAxLjE0LS4xMyAxLjY0LS4zNkwxMCAxMmwtMi4zNiAyLjM2QzcuMTQgMTQuMTMgNi41OSAxNCA2IDE0Yy0yLjIxIDAtNCAxLjc5LTQgNHMxLjc5IDQgNCA0IDQtMS43OSA0LTRjMC0uNTktLjEzLTEuMTQtLjM2LTEuNjRMMTIgMTRsNyA3aDN2LTFMOS42NCA3LjY0ek02IDhjLTEuMSAwLTItLjg5LTItMnMuOS0yIDItMiAyIC44OSAyIDItLjkgMi0yIDJ6bTAgMTJjLTEuMSAwLTItLjg5LTItMnMuOS0yIDItMiAyIC44OSAyIDItLjkgMi0yIDJ6bTYtNy41Yy0uMjggMC0uNS0uMjItLjUtLjVzLjIyLS41LjUtLjUuNS4yMi41LjUtLjIyLjUtLjUuNXpNMTkgM2wtNiA2IDIgMiA3LTdWM3oiLz4KICA8L2c+Cjwvc3ZnPgo=);
+ --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);
+ --jp-icon-json: url(data:image/svg+xml;base64,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);
+ --jp-icon-jupyter-favicon: url(data:image/svg+xml;base64,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);
+ --jp-icon-jupyter: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMzkiIGhlaWdodD0iNTEiIHZpZXdCb3g9IjAgMCAzOSA1MSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyB0cmFuc2Zvcm09InRyYW5zbGF0ZSgtMTYzOCAtMjI4MSkiPgogICAgPGcgY2xhc3M9ImpwLWljb24td2FybjAiIGZpbGw9IiNGMzc3MjYiPgogICAgICA8cGF0aCB0cmFuc2Zvcm09InRyYW5zbGF0ZSgxNjM5Ljc0IDIzMTEuOTgpIiBkPSJNIDE4LjI2NDYgNy4xMzQxMUMgMTAuNDE0NSA3LjEzNDExIDMuNTU4NzIgNC4yNTc2IDAgMEMgMS4zMjUzOSAzLjgyMDQgMy43OTU1NiA3LjEzMDgxIDcuMDY4NiA5LjQ3MzAzQyAxMC4zNDE3IDExLjgxNTIgMTQuMjU1NyAxMy4wNzM0IDE4LjI2OSAxMy4wNzM0QyAyMi4yODIzIDEzLjA3MzQgMjYuMTk2MyAxMS44MTUyIDI5LjQ2OTQgOS40NzMwM0MgMzIuNzQyNCA3LjEzMDgxIDM1LjIxMjYgMy44MjA0IDM2LjUzOCAwQyAzMi45NzA1IDQuMjU3NiAyNi4xMTQ4IDcuMTM0MTEgMTguMjY0NiA3LjEzNDExWiIvPgogICAgICA8cGF0aCB0cmFuc2Zvcm09InRyYW5zbGF0ZSgxNjM5LjczIDIyODUuNDgpIiBkPSJNIDE4LjI3MzMgNS45MzkzMUMgMjYuMTIzNSA1LjkzOTMxIDMyLjk3OTMgOC44MTU4MyAzNi41MzggMTMuMDczNEMgMzUuMjEyNiA5LjI1MzAzIDMyLjc0MjQgNS45NDI2MiAyOS40Njk0IDMuNjAwNEMgMjYuMTk2MyAxLjI1ODE4IDIyLjI4MjMgMCAxOC4yNjkgMEMgMTQuMjU1NyAwIDEwLjM0MTcgMS4yNTgxOCA3LjA2ODYgMy42MDA0QyAzLjc5NTU2IDUuOTQyNjIgMS4zMjUzOSA5LjI1MzAzIDAgMTMuMDczNEMgMy41Njc0NSA4LjgyNDYzIDEwLjQyMzIgNS45MzkzMSAxOC4yNzMzIDUuOTM5MzFaIi8+CiAgICA8L2c+CiAgICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgICA8cGF0aCB0cmFuc2Zvcm09InRyYW5zbGF0ZSgxNjY5LjMgMjI4MS4zMSkiIGQ9Ik0gNS44OTM1MyAyLjg0NEMgNS45MTg4OSAzLjQzMTY1IDUuNzcwODUgNC4wMTM2NyA1LjQ2ODE1IDQuNTE2NDVDIDUuMTY1NDUgNS4wMTkyMiA0LjcyMTY4IDUuNDIwMTUgNC4xOTI5OSA1LjY2ODUxQyAzLjY2NDMgNS45MTY4OCAzLjA3NDQ0IDYuMDAxNTEgMi40OTgwNSA1LjkxMTcxQyAxLjkyMTY2IDUuODIxOSAxLjM4NDYzIDUuNTYxNyAwLjk1NDg5OCA1LjE2NDAxQyAwLjUyNTE3IDQuNzY2MzMgMC4yMjIwNTYgNC4yNDkwMyAwLjA4MzkwMzcgMy42Nzc1N0MgLTAuMDU0MjQ4MyAzLjEwNjExIC0wLjAyMTIzIDIuNTA2MTcgMC4xNzg3ODEgMS45NTM2NEMgMC4zNzg3OTMgMS40MDExIDAuNzM2ODA5IDAuOTIwODE3IDEuMjA3NTQgMC41NzM1MzhDIDEuNjc4MjYgMC4yMjYyNTkgMi4yNDA1NSAwLjAyNzU5MTkgMi44MjMyNiAwLjAwMjY3MjI5QyAzLjYwMzg5IC0wLjAzMDcxMTUgNC4zNjU3MyAwLjI0OTc4OSA0Ljk0MTQyIDAuNzgyNTUxQyA1LjUxNzExIDEuMzE1MzEgNS44NTk1NiAyLjA1Njc2IDUuODkzNTMgMi44NDRaIi8+CiAgICAgIDxwYXRoIHRyYW5zZm9ybT0idHJhbnNsYXRlKDE2MzkuOCAyMzIzLjgxKSIgZD0iTSA3LjQyNzg5IDMuNTgzMzhDIDcuNDYwMDggNC4zMjQzIDcuMjczNTUgNS4wNTgxOSA2Ljg5MTkzIDUuNjkyMTNDIDYuNTEwMzEgNi4zMjYwNyA1Ljk1MDc1IDYuODMxNTYgNS4yODQxMSA3LjE0NDZDIDQuNjE3NDcgNy40NTc2MyAzLjg3MzcxIDcuNTY0MTQgMy4xNDcwMiA3LjQ1MDYzQyAyLjQyMDMyIDcuMzM3MTIgMS43NDMzNiA3LjAwODcgMS4yMDE4NCA2LjUwNjk1QyAwLjY2MDMyOCA2LjAwNTIgMC4yNzg2MSA1LjM1MjY4IDAuMTA1MDE3IDQuNjMyMDJDIC0wLjA2ODU3NTcgMy45MTEzNSAtMC4wMjYyMzYxIDMuMTU0OTQgMC4yMjY2NzUgMi40NTg1NkMgMC40Nzk1ODcgMS43NjIxNyAwLjkzMTY5NyAxLjE1NzEzIDEuNTI1NzYgMC43MjAwMzNDIDIuMTE5ODMgMC4yODI5MzUgMi44MjkxNCAwLjAzMzQzOTUgMy41NjM4OSAwLjAwMzEzMzQ0QyA0LjU0NjY3IC0wLjAzNzQwMzMgNS41MDUyOSAwLjMxNjcwNiA2LjIyOTYxIDAuOTg3ODM1QyA2Ljk1MzkzIDEuNjU4OTYgNy4zODQ4NCAyLjU5MjM1IDcuNDI3ODkgMy41ODMzOEwgNy40Mjc4OSAzLjU4MzM4WiIvPgogICAgICA8cGF0aCB0cmFuc2Zvcm09InRyYW5zbGF0ZSgxNjM4LjM2IDIyODYuMDYpIiBkPSJNIDIuMjc0NzEgNC4zOTYyOUMgMS44NDM2MyA0LjQxNTA4IDEuNDE2NzEgNC4zMDQ0NSAxLjA0Nzk5IDQuMDc4NDNDIDAuNjc5MjY4IDMuODUyNCAwLjM4NTMyOCAzLjUyMTE0IDAuMjAzMzcxIDMuMTI2NTZDIDAuMDIxNDEzNiAyLjczMTk4IC0wLjA0MDM3OTggMi4yOTE4MyAwLjAyNTgxMTYgMS44NjE4MUMgMC4wOTIwMDMxIDEuNDMxOCAwLjI4MzIwNCAxLjAzMTI2IDAuNTc1MjEzIDAuNzEwODgzQyAwLjg2NzIyMiAwLjM5MDUxIDEuMjQ2OTEgMC4xNjQ3MDggMS42NjYyMiAwLjA2MjA1OTJDIDIuMDg1NTMgLTAuMDQwNTg5NyAyLjUyNTYxIC0wLjAxNTQ3MTQgMi45MzA3NiAwLjEzNDIzNUMgMy4zMzU5MSAwLjI4Mzk0MSAzLjY4NzkyIDAuNTUxNTA1IDMuOTQyMjIgMC45MDMwNkMgNC4xOTY1MiAxLjI1NDYyIDQuMzQxNjkgMS42NzQzNiA0LjM1OTM1IDIuMTA5MTZDIDQuMzgyOTkgMi42OTEwNyA0LjE3Njc4IDMuMjU4NjkgMy43ODU5NyAzLjY4NzQ2QyAzLjM5NTE2IDQuMTE2MjQgMi44NTE2NiA0LjM3MTE2IDIuMjc0NzEgNC4zOTYyOUwgMi4yNzQ3MSA0LjM5NjI5WiIvPgogICAgPC9nPgogIDwvZz4+Cjwvc3ZnPgo=);
+ --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,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);
+ --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,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);
+ --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,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);
+ --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,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); }
+
+/*
+
+ 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
+ *
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+ --jp-error-color0: var(--md-red-700);
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+ --jp-cell-editor-active-background: var(--jp-layout-color0);
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+ /* A custom blend of MD grey and blue 600
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+ --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;
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+ --jp-notebook-padding: 10px;
+ --jp-notebook-select-background: var(--jp-layout-color1);
+ --jp-notebook-multiselected-color: var(--md-blue-50);
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+ );
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+ --jp-rendermime-error-background: #fdd;
+ --jp-rendermime-table-row-background: var(--md-grey-100);
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+ --jp-toolbar-micro-height: 8px;
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+ /* Input field styles */
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+ --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
+ --jp-input-active-background: var(--jp-layout-color1);
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+ --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;
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+
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+
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+
+ /* Sidebar-related styles */
+
+ --jp-sidebar-min-width: 180px;
+
+ /* Search-related styles */
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+ --jp-search-selected-match-background-color: rgb(245, 200, 0);
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+ --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;
+}
+
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+ overflow: hidden;
+}
+
+@media print {
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+ 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
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+ equationNumbers: {
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+ "HTML-CSS": {
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+
+ 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="Ejercicio-Nº-1:-Ejercicios-para-practicar-numpy-y-optimización-con-scipy">Ejercicio Nº 1: Ejercicios para practicar numpy y optimización con scipy<a class="anchor-link" href="#Ejercicio-Nº-1:-Ejercicios-para-practicar-numpy-y-optimización-con-scipy">¶</a></h1><p> </p>
+<p><strong>Autor</strong>: Nicolás Fernández Cinquepalmi</p>
+<p> </p>
+<p><strong>Breve descripción</strong>: En observaciones astronómicas e imágenes en general, llamamos resolución espacial a la distancia angular minima a la que pueden estar dos fuentes puntuales de luz y aun poder ser reconocidas como objetos individuales.
+ </p>
+<p>En el caso de la astronomÃa, este efecto tiene que ver con la dispersión de la luz al atravezar la atmósfera, la cual hace que una estrella, que deberÃa en principio aparecer como una fuente puntual (pues las estrellas están muy lejos), aparezca en cambio como una mancha. AsÃ, si dos estrellas están demasiado cerca sus manchas se superpondrán hasta el punto en que sea imposible distinguirlas como fuentes individuales.
+ </p>
+<p>Para modelar este efecto, tÃpicamente consideramos la acción de la atmósfera como la convolución de la imagen "perfecta" (como se verÃa desde el espacio) con un kernel gaussiano. El ancho de esa función gaussiana 2D caracteriza las condiciones de observación, varÃa con las condiciones climáticas y para cada sitio de la Tierra.
+ </p>
+<p>La resolución espacial normalmente se toma como el FWHM de la gaussiana caracteristica registrada durante una observación. Es decir, si dos estrellas están a una distancia aparente en el cielo menor que el FWHM del efecto atmosférico, la luz de ambas fuentes se mezclará después de la convolución hasta el punto de impedir reconocerlas de modo individual.
+ </p>
+<p>Además, la atmósfera puede interactuar de maneras distintas con la luz de distintas longitudes de onda, de manera que el ancho de la gaussiana puede ser distinto para observaciones con diferentes filtros.
+ </p>
+<p>El objetivo de esta tarea es medir de forma aproximada la resolución espacial en una noche de observación en Zapatoca, Santander (Colombia), a partir de una foto del cielo estrellado.</p>
+<p> </p>
+<p><strong>Paso 1</strong>: Comenzamos con importar los módulos necesarios para este trabajo.</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 [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">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">from</span> <span class="nn">matplotlib</span> <span class="kn">import</span> <span class="n">image</span>
+<span class="kn">from</span> <span class="nn">matplotlib</span> <span class="kn">import</span> <span class="n">pyplot</span>
+<span class="kn">from</span> <span class="nn">PIL</span> <span class="kn">import</span> <span class="n">Image</span>
+<span class="kn">from</span> <span class="nn">scipy</span> <span class="kn">import</span> <span class="n">optimize</span>
+<span class="kn">from</span> <span class="nn">matplotlib.pyplot</span> <span class="kn">import</span> <span class="n">figure</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> </p>
+<p><strong>Paso 2</strong>: Cargamos la imagen desde su ubicación en el repositorio.</p>
+<p> </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 [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="n">imageRGB</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">imread</span><span class="p">(</span><span class="s1">'/home/fernandezn/ejercicios-clase-05-datos/data/zapatocaImage.jpeg'</span><span class="p">)</span><span class="o">/</span><span class="mi">255</span>
+<span class="nb">print</span><span class="p">(</span><span class="s2">"Dimensiones de la imagen:"</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">imageRGB</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s2">"Dtype:"</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">imageRGB</span><span class="o">.</span><span class="n">dtype</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>Dimensiones de la imagen:
+(789, 1184, 3)
+Dtype:
+float64
+</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 [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="n">pyplot</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">imageRGB</span><span class="p">)</span>
+<span class="n">pyplot</span><span class="o">.</span><span class="n">show</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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+>
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+</div>
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<p> </p>
+<p><strong>Paso 3</strong>: Convertimos la imagen RGB en escala de grises haciendo un promedio de los 3 canales.</p>
+<p> </p>
+
+</div>
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+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [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">im_gray</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">imageRGB</span><span class="p">,</span> <span class="n">axis</span> <span class="o">=</span> <span class="mi">2</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">im_gray</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'gray'</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-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<pre><matplotlib.image.AxesImage at 0x7effe9c67048></pre>
+</div>
+
+</div>
+
+<div class="jp-OutputArea-child">
+
+
+ <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
+
+
+
+<div class="jp-RenderedImage jp-OutputArea-output ">
+<img src="data:image/png;base64,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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">
+<p> </p>
+<p><strong>Paso 4</strong>: Realizamos cortes de la imagen, localizados en una estrella particular. Luego calculamos los centros para localizarlos en la imagen.</p>
+<p> </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 [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">im_cut1</span> <span class="o">=</span> <span class="n">im_gray</span><span class="p">[</span><span class="mi">540</span><span class="p">:</span><span class="mi">570</span><span class="p">,</span><span class="mi">640</span><span class="p">:</span><span class="mi">680</span><span class="p">]</span>
+
+<span class="n">max_index</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">im_cut1</span> <span class="o">>=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">im_cut1</span><span class="p">))</span>
+<span class="n">x01</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+<span class="n">y01</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+
+<span class="n">im_cut2</span> <span class="o">=</span> <span class="n">im_gray</span><span class="p">[</span><span class="mi">300</span><span class="p">:</span><span class="mi">315</span><span class="p">,</span><span class="mi">470</span><span class="p">:</span><span class="mi">485</span><span class="p">]</span>
+
+<span class="n">max_index</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">im_cut2</span> <span class="o">>=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">im_cut2</span><span class="p">))</span>
+<span class="n">x02</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+<span class="n">y02</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+
+<span class="n">im_cut3</span> <span class="o">=</span> <span class="n">im_gray</span><span class="p">[</span><span class="mi">310</span><span class="p">:</span><span class="mi">325</span><span class="p">,</span><span class="mi">615</span><span class="p">:</span><span class="mi">640</span><span class="p">]</span>
+
+<span class="n">max_index</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">im_cut3</span> <span class="o">>=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">im_cut3</span><span class="p">))</span>
+<span class="n">x03</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+<span class="n">y03</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+
+<span class="n">im_cut4</span> <span class="o">=</span> <span class="n">im_gray</span><span class="p">[</span><span class="mi">295</span><span class="p">:</span><span class="mi">315</span><span class="p">,</span><span class="mi">470</span><span class="p">:</span><span class="mi">490</span><span class="p">]</span>
+
+<span class="n">max_index</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">im_cut4</span> <span class="o">>=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">im_cut4</span><span class="p">))</span>
+<span class="n">x04</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+<span class="n">y04</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">0</span><span class="p">])</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="mi">2</span><span class="p">,</span><span class="mi">2</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="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">im_cut1</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'gray'</span><span class="p">)</span>
+<span class="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x01</span><span class="p">,</span><span class="n">y01</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'r'</span><span class="p">,</span><span class="n">marker</span><span class="o">=</span><span class="s1">'+'</span><span class="p">,</span><span class="n">markersize</span> <span class="o">=</span> <span class="mi">30</span><span class="p">)</span>
+
+<span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">im_cut2</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'gray'</span><span class="p">)</span>
+<span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x02</span><span class="p">,</span><span class="n">y02</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'r'</span><span class="p">,</span><span class="n">marker</span><span class="o">=</span><span class="s1">'+'</span><span class="p">,</span><span class="n">markersize</span> <span class="o">=</span> <span class="mi">30</span><span class="p">)</span>
+
+<span class="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">im_cut3</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'gray'</span><span class="p">)</span>
+<span class="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x03</span><span class="p">,</span><span class="n">y03</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'r'</span><span class="p">,</span><span class="n">marker</span><span class="o">=</span><span class="s1">'+'</span><span class="p">,</span><span class="n">markersize</span> <span class="o">=</span> <span class="mi">30</span><span class="p">)</span>
+
+<span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">im_cut4</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'gray'</span><span class="p">)</span>
+<span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x04</span><span class="p">,</span><span class="n">y04</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'r'</span><span class="p">,</span><span class="n">marker</span><span class="o">=</span><span class="s1">'+'</span><span class="p">,</span><span class="n">markersize</span> <span class="o">=</span> <span class="mi">30</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[5]:</div>
+
+
+
+
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<pre>[<matplotlib.lines.Line2D at 0x7effe9b9a710>]</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-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<p> </p>
+<p><strong>Paso 5</strong>: Definimos la función gaussiana 2D, la función de los momentos estadÃsticos y la función para realizar el ajuste.</p>
+<p> </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 [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="k">def</span> <span class="nf">gaussian</span><span class="p">(</span><span class="n">height</span><span class="p">,</span> <span class="n">center_x</span><span class="p">,</span> <span class="n">center_y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">):</span>
+ <span class="sd">"""Returns a gaussian function with the given parameters"""</span>
+ <span class="n">width_x</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">width_x</span><span class="p">)</span>
+ <span class="n">width_y</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">width_y</span><span class="p">)</span>
+ <span class="k">return</span> <span class="k">lambda</span> <span class="n">x</span><span class="p">,</span><span class="n">y</span><span class="p">:</span> <span class="n">height</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span>
+ <span class="o">-</span><span class="p">(((</span><span class="n">center_x</span><span class="o">-</span><span class="n">x</span><span class="p">)</span><span class="o">/</span><span class="n">width_x</span><span class="p">)</span><span class="o">**</span><span class="mi">2</span><span class="o">+</span><span class="p">((</span><span class="n">center_y</span><span class="o">-</span><span class="n">y</span><span class="p">)</span><span class="o">/</span><span class="n">width_y</span><span class="p">)</span><span class="o">**</span><span class="mi">2</span><span class="p">)</span><span class="o">/</span><span class="mi">2</span><span class="p">)</span>
+
+<span class="k">def</span> <span class="nf">moments</span><span class="p">(</span><span class="n">data</span><span class="p">):</span>
+ <span class="sd">"""Returns (height, x, y, width_x, width_y)</span>
+<span class="sd"> the gaussian parameters of a 2D distribution by calculating its</span>
+<span class="sd"> moments """</span>
+ <span class="n">total</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span>
+ <span class="n">X</span><span class="p">,</span> <span class="n">Y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">indices</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+ <span class="n">x</span> <span class="o">=</span> <span class="p">(</span><span class="n">X</span><span class="o">*</span><span class="n">data</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">/</span><span class="n">total</span>
+ <span class="n">y</span> <span class="o">=</span> <span class="p">(</span><span class="n">Y</span><span class="o">*</span><span class="n">data</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">/</span><span class="n">total</span>
+ <span class="n">col</span> <span class="o">=</span> <span class="n">data</span><span class="p">[:,</span> <span class="nb">int</span><span class="p">(</span><span class="n">y</span><span class="p">)]</span>
+ <span class="n">width_x</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">np</span><span class="o">.</span><span class="n">abs</span><span class="p">((</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">col</span><span class="o">.</span><span class="n">size</span><span class="p">)</span><span class="o">-</span><span class="n">x</span><span class="p">)</span><span class="o">**</span><span class="mi">2</span><span class="o">*</span><span class="n">col</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">/</span><span class="n">col</span><span class="o">.</span><span class="n">sum</span><span class="p">())</span>
+ <span class="n">row</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">x</span><span class="p">),</span> <span class="p">:]</span>
+ <span class="n">width_y</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">np</span><span class="o">.</span><span class="n">abs</span><span class="p">((</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">row</span><span class="o">.</span><span class="n">size</span><span class="p">)</span><span class="o">-</span><span class="n">y</span><span class="p">)</span><span class="o">**</span><span class="mi">2</span><span class="o">*</span><span class="n">row</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">/</span><span class="n">row</span><span class="o">.</span><span class="n">sum</span><span class="p">())</span>
+ <span class="n">height</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">max</span><span class="p">()</span>
+ <span class="k">return</span> <span class="n">height</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span>
+
+<span class="k">def</span> <span class="nf">fitgaussian</span><span class="p">(</span><span class="n">data</span><span class="p">):</span>
+ <span class="sd">"""Returns (height, x, y, width_x, width_y)</span>
+<span class="sd"> the gaussian parameters of a 2D distribution found by a fit"""</span>
+ <span class="n">params</span> <span class="o">=</span> <span class="n">moments</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+ <span class="n">errorfunction</span> <span class="o">=</span> <span class="k">lambda</span> <span class="n">p</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">ravel</span><span class="p">(</span><span class="n">gaussian</span><span class="p">(</span><span class="o">*</span><span class="n">p</span><span class="p">)(</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">indices</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">))</span> <span class="o">-</span> <span class="n">data</span><span class="p">)</span>
+ <span class="n">p</span><span class="p">,</span> <span class="n">success</span> <span class="o">=</span> <span class="n">optimize</span><span class="o">.</span><span class="n">leastsq</span><span class="p">(</span><span class="n">errorfunction</span><span class="p">,</span> <span class="n">params</span><span class="p">)</span>
+ <span class="k">return</span> <span class="n">p</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> </p>
+<p><strong>Paso 6</strong>: Realizamos el ajuste gaussiano para cada corte y calculamos su valor de FWHM.</p>
+<p> </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 [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="c1"># FIT IMAGEN 1</span>
+
+<span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mgrid</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">30</span><span class="p">,</span> <span class="mi">0</span><span class="p">:</span><span class="mi">40</span><span class="p">]</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">40</span><span class="p">)(</span><span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span><span class="p">)</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">random</span><span class="p">(</span><span class="n">Xin</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">matshow</span><span class="p">(</span><span class="n">im_cut1</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">cubehelix</span><span class="p">)</span>
+
+<span class="n">params</span> <span class="o">=</span> <span class="n">fitgaussian</span><span class="p">(</span><span class="n">im_cut1</span><span class="p">)</span>
+<span class="n">fit</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="o">*</span><span class="n">params</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">contour</span><span class="p">(</span><span class="n">fit</span><span class="p">(</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">indices</span><span class="p">(</span><span class="n">im_cut1</span><span class="o">.</span><span class="n">shape</span><span class="p">)),</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">copper</span><span class="p">)</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">()</span>
+<span class="p">(</span><span class="n">height</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">)</span> <span class="o">=</span> <span class="n">params</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.95</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">,</span> <span class="s2">"""</span>
+<span class="s2">x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">y : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_y : </span><span class="si">%.1f</span><span class="s2">"""</span> <span class="o">%</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">),</span>
+ <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">,</span> <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">'right'</span><span class="p">,</span>
+ <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">'bottom'</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'white'</span><span class="p">)</span>
+
+<span class="n">FWHM1</span> <span class="o">=</span> <span class="mi">2</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="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mi">2</span><span class="p">))</span><span class="o">*</span><span class="n">width_x</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'El valor de FWHM es: '</span><span class="p">,</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">FWHM1</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"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>El valor de FWHM es: 37.85
+</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 ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [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="c1"># FIT IMAGEN 2</span>
+
+<span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mgrid</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">15</span><span class="p">,</span> <span class="mi">0</span><span class="p">:</span><span class="mi">25</span><span class="p">]</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">40</span><span class="p">)(</span><span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span><span class="p">)</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">random</span><span class="p">(</span><span class="n">Xin</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">matshow</span><span class="p">(</span><span class="n">im_cut2</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">cubehelix</span><span class="p">)</span>
+
+<span class="n">params</span> <span class="o">=</span> <span class="n">fitgaussian</span><span class="p">(</span><span class="n">im_cut2</span><span class="p">)</span>
+<span class="n">fit</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="o">*</span><span class="n">params</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">contour</span><span class="p">(</span><span class="n">fit</span><span class="p">(</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">indices</span><span class="p">(</span><span class="n">im_cut2</span><span class="o">.</span><span class="n">shape</span><span class="p">)),</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">copper</span><span class="p">)</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">()</span>
+<span class="p">(</span><span class="n">height</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">)</span> <span class="o">=</span> <span class="n">params</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.95</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">,</span> <span class="s2">"""</span>
+<span class="s2">x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">y : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_y : </span><span class="si">%.1f</span><span class="s2">"""</span> <span class="o">%</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">),</span>
+ <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">,</span> <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">'right'</span><span class="p">,</span>
+ <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">'bottom'</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'white'</span><span class="p">)</span>
+
+<span class="n">FWHM2</span> <span class="o">=</span> <span class="mi">2</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="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mi">2</span><span class="p">))</span><span class="o">*</span><span class="n">width_x</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'El valor de FWHM es: '</span><span class="p">,</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">FWHM2</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"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>El valor de FWHM es: 20.08
+</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 ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [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="c1"># FIT IMAGEN 3</span>
+
+<span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mgrid</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">14</span><span class="p">,</span> <span class="mi">0</span><span class="p">:</span><span class="mi">14</span><span class="p">]</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">40</span><span class="p">)(</span><span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span><span class="p">)</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">random</span><span class="p">(</span><span class="n">Xin</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">matshow</span><span class="p">(</span><span class="n">im_cut3</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">cubehelix</span><span class="p">)</span>
+
+<span class="n">params</span> <span class="o">=</span> <span class="n">fitgaussian</span><span class="p">(</span><span class="n">im_cut3</span><span class="p">)</span>
+<span class="n">fit</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="o">*</span><span class="n">params</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">contour</span><span class="p">(</span><span class="n">fit</span><span class="p">(</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">indices</span><span class="p">(</span><span class="n">im_cut3</span><span class="o">.</span><span class="n">shape</span><span class="p">)),</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">copper</span><span class="p">)</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">()</span>
+<span class="p">(</span><span class="n">height</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">)</span> <span class="o">=</span> <span class="n">params</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.95</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">,</span> <span class="s2">"""</span>
+<span class="s2">x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">y : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_y : </span><span class="si">%.1f</span><span class="s2">"""</span> <span class="o">%</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">),</span>
+ <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">,</span> <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">'right'</span><span class="p">,</span>
+ <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">'bottom'</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'white'</span><span class="p">)</span>
+
+<span class="n">FWHM3</span> <span class="o">=</span> <span class="mi">2</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="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mi">2</span><span class="p">))</span><span class="o">*</span><span class="n">width_x</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'El valor de FWHM es: '</span><span class="p">,</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">FWHM3</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"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>El valor de FWHM es: 18.3
+</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 ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [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="c1"># FIT IMAGEN 4</span>
+
+<span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mgrid</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">20</span><span class="p">,</span> <span class="mi">0</span><span class="p">:</span><span class="mi">20</span><span class="p">]</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">40</span><span class="p">)(</span><span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span><span class="p">)</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">random</span><span class="p">(</span><span class="n">Xin</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">matshow</span><span class="p">(</span><span class="n">im_cut4</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">cubehelix</span><span class="p">)</span>
+
+<span class="n">params</span> <span class="o">=</span> <span class="n">fitgaussian</span><span class="p">(</span><span class="n">im_cut4</span><span class="p">)</span>
+<span class="n">fit</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="o">*</span><span class="n">params</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">contour</span><span class="p">(</span><span class="n">fit</span><span class="p">(</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">indices</span><span class="p">(</span><span class="n">im_cut4</span><span class="o">.</span><span class="n">shape</span><span class="p">)),</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">copper</span><span class="p">)</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">()</span>
+<span class="p">(</span><span class="n">height</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">)</span> <span class="o">=</span> <span class="n">params</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.95</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">,</span> <span class="s2">"""</span>
+<span class="s2">x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">y : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_y : </span><span class="si">%.1f</span><span class="s2">"""</span> <span class="o">%</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">),</span>
+ <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">,</span> <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">'right'</span><span class="p">,</span>
+ <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">'bottom'</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'white'</span><span class="p">)</span>
+
+<span class="n">FWHM4</span> <span class="o">=</span> <span class="mi">2</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="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mi">2</span><span class="p">))</span><span class="o">*</span><span class="n">width_x</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'El valor de FWHM es: '</span><span class="p">,</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">FWHM4</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"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>El valor de FWHM es: 32.03
+</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-inputWrapper"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+<p> </p>
+<p><strong>Paso 7</strong>: Calculamos el valor medio, mediana y desvÃo estandar de los FWHM obtenidos para los cortes realizados. Por último, realizamos un histograma.</p>
+<p> </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 [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">FWHM</span> <span class="o">=</span> <span class="p">[</span><span class="n">FWHM1</span><span class="p">,</span> <span class="n">FWHM2</span><span class="p">,</span> <span class="n">FWHM3</span><span class="p">,</span> <span class="n">FWHM4</span><span class="p">]</span>
+<span class="n">Media</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">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">FWHM</span><span class="p">),</span><span class="mi">2</span><span class="p">)</span>
+<span class="n">Mediana</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">median</span><span class="p">(</span><span class="n">FWHM</span><span class="p">),</span><span class="mi">2</span><span class="p">)</span>
+<span class="n">Desvio</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">FWHM</span><span class="p">),</span><span class="mi">2</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'El valor medio de FWHM es: '</span><span class="p">,</span> <span class="n">Media</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'La mediana de FWHM es: '</span><span class="p">,</span> <span class="n">Mediana</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'El desvÃo estándar de FWHM es: '</span><span class="p">,</span> <span class="n">Desvio</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">FWHM</span><span class="p">,</span> <span class="n">bins</span> <span class="o">=</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">10</span><span class="p">,</span><span class="mi">20</span><span class="p">,</span><span class="mi">30</span><span class="p">,</span><span class="mi">40</span><span class="p">,</span><span class="mi">50</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="s2">"Histograma Gray"</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
+
+ </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
+
+
+<div class="jp-OutputArea jp-Cell-outputArea">
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+<div class="jp-OutputArea-child">
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+ <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
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+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>El valor medio de FWHM es: 27.06
+La mediana de FWHM es: 26.05
+El desvÃo estándar de FWHM es: 8.16
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
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+ <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
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+<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">
+<p> </p>
+<p><strong>Comentario</strong>: Cuanto menor sea el FWHM de tu fotografÃa mejor, ya que esto indica que la luz está más concentrada en el punto de origen que la causa y menos desparramada por los pÃxeles adyacentes. En este caso el valor medio es de 27.06.</p>
+<p> </p>
+<p><strong>Paso 8</strong>: Realizamos el ajuste gaussiano, de la misma forma pero ahora con el canal rojo.</p>
+<p> </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 [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">image_red</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">copy</span><span class="p">(</span><span class="n">imageRGB</span><span class="p">)</span> <span class="c1"># creo una copia de la imagen para preservar la original</span>
+<span class="n">image_red</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span><span class="o">=</span><span class="mi">0</span>
+<span class="n">image_red</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">=</span><span class="mi">0</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"Canal rojo"</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">image_red</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[12]:</div>
+
+
+
+
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<pre><matplotlib.image.AxesImage at 0x7effe61bdba8></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 ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [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">im_red</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">image_red</span><span class="p">,</span> <span class="n">axis</span> <span class="o">=</span> <span class="mi">2</span><span class="p">)</span>
+<span class="n">red_cut1</span> <span class="o">=</span> <span class="n">im_red</span><span class="p">[</span><span class="mi">540</span><span class="p">:</span><span class="mi">570</span><span class="p">,</span><span class="mi">640</span><span class="p">:</span><span class="mi">680</span><span class="p">]</span>
+
+<span class="n">max_index</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">red_cut1</span> <span class="o">>=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">red_cut1</span><span class="p">))</span>
+<span class="n">r_x01</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+<span class="n">r_y01</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+
+<span class="n">red_cut2</span> <span class="o">=</span> <span class="n">im_red</span><span class="p">[</span><span class="mi">300</span><span class="p">:</span><span class="mi">315</span><span class="p">,</span><span class="mi">470</span><span class="p">:</span><span class="mi">485</span><span class="p">]</span>
+
+<span class="n">max_index</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">red_cut2</span> <span class="o">>=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">red_cut2</span><span class="p">))</span>
+<span class="n">r_x02</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+<span class="n">r_y02</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+
+<span class="n">red_cut3</span> <span class="o">=</span> <span class="n">im_red</span><span class="p">[</span><span class="mi">310</span><span class="p">:</span><span class="mi">325</span><span class="p">,</span><span class="mi">615</span><span class="p">:</span><span class="mi">640</span><span class="p">]</span>
+
+<span class="n">max_index</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">red_cut3</span> <span class="o">>=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">red_cut3</span><span class="p">))</span>
+<span class="n">r_x03</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+<span class="n">r_y03</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+
+<span class="n">red_cut4</span> <span class="o">=</span> <span class="n">im_red</span><span class="p">[</span><span class="mi">295</span><span class="p">:</span><span class="mi">315</span><span class="p">,</span><span class="mi">470</span><span class="p">:</span><span class="mi">490</span><span class="p">]</span>
+
+<span class="n">max_index</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">red_cut4</span> <span class="o">>=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">red_cut4</span><span class="p">))</span>
+<span class="n">r_x04</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+<span class="n">r_y04</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">0</span><span class="p">])</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="mi">2</span><span class="p">,</span><span class="mi">2</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="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">red_cut1</span><span class="p">)</span>
+<span class="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">r_x01</span><span class="p">,</span><span class="n">r_y01</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'b'</span><span class="p">,</span><span class="n">marker</span><span class="o">=</span><span class="s1">'+'</span><span class="p">,</span><span class="n">markersize</span> <span class="o">=</span> <span class="mi">30</span><span class="p">)</span>
+
+<span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">red_cut2</span><span class="p">)</span>
+<span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">r_x02</span><span class="p">,</span><span class="n">r_y02</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'b'</span><span class="p">,</span><span class="n">marker</span><span class="o">=</span><span class="s1">'+'</span><span class="p">,</span><span class="n">markersize</span> <span class="o">=</span> <span class="mi">30</span><span class="p">)</span>
+
+<span class="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">red_cut3</span><span class="p">)</span>
+<span class="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">r_x03</span><span class="p">,</span><span class="n">r_y03</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'b'</span><span class="p">,</span><span class="n">marker</span><span class="o">=</span><span class="s1">'+'</span><span class="p">,</span><span class="n">markersize</span> <span class="o">=</span> <span class="mi">30</span><span class="p">)</span>
+
+<span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">red_cut4</span><span class="p">)</span>
+<span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">r_x04</span><span class="p">,</span><span class="n">r_y04</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'b'</span><span class="p">,</span><span class="n">marker</span><span class="o">=</span><span class="s1">'+'</span><span class="p">,</span><span class="n">markersize</span> <span class="o">=</span> <span class="mi">30</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[13]:</div>
+
+
+
+
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<pre>[<matplotlib.lines.Line2D at 0x7effe60763c8>]</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 ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [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="c1"># FIT IMAGEN_RED 1</span>
+
+<span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mgrid</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">30</span><span class="p">,</span> <span class="mi">0</span><span class="p">:</span><span class="mi">40</span><span class="p">]</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">40</span><span class="p">)(</span><span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span><span class="p">)</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">random</span><span class="p">(</span><span class="n">Xin</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">matshow</span><span class="p">(</span><span class="n">red_cut1</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">cubehelix</span><span class="p">)</span>
+
+<span class="n">params</span> <span class="o">=</span> <span class="n">fitgaussian</span><span class="p">(</span><span class="n">red_cut1</span><span class="p">)</span>
+<span class="n">fit</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="o">*</span><span class="n">params</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">contour</span><span class="p">(</span><span class="n">fit</span><span class="p">(</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">indices</span><span class="p">(</span><span class="n">red_cut1</span><span class="o">.</span><span class="n">shape</span><span class="p">)),</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">copper</span><span class="p">)</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">()</span>
+<span class="p">(</span><span class="n">height</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">)</span> <span class="o">=</span> <span class="n">params</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.95</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">,</span> <span class="s2">"""</span>
+<span class="s2">x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">y : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_y : </span><span class="si">%.1f</span><span class="s2">"""</span> <span class="o">%</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">),</span>
+ <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">,</span> <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">'right'</span><span class="p">,</span>
+ <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">'bottom'</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'white'</span><span class="p">)</span>
+
+<span class="n">FWHM_r1</span> <span class="o">=</span> <span class="mi">2</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="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mi">2</span><span class="p">))</span><span class="o">*</span><span class="n">width_x</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'El valor de FWHM es: '</span><span class="p">,</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">FWHM_r1</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"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>El valor de FWHM es: 49.7
+</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 ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [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="c1"># FIT IMAGEN_RED 2</span>
+
+<span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mgrid</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">15</span><span class="p">,</span> <span class="mi">0</span><span class="p">:</span><span class="mi">25</span><span class="p">]</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">40</span><span class="p">)(</span><span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span><span class="p">)</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">random</span><span class="p">(</span><span class="n">Xin</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">matshow</span><span class="p">(</span><span class="n">red_cut2</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">cubehelix</span><span class="p">)</span>
+
+<span class="n">params</span> <span class="o">=</span> <span class="n">fitgaussian</span><span class="p">(</span><span class="n">red_cut2</span><span class="p">)</span>
+<span class="n">fit</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="o">*</span><span class="n">params</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">contour</span><span class="p">(</span><span class="n">fit</span><span class="p">(</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">indices</span><span class="p">(</span><span class="n">red_cut2</span><span class="o">.</span><span class="n">shape</span><span class="p">)),</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">copper</span><span class="p">)</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">()</span>
+<span class="p">(</span><span class="n">height</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">)</span> <span class="o">=</span> <span class="n">params</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.95</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">,</span> <span class="s2">"""</span>
+<span class="s2">x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">y : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_y : </span><span class="si">%.1f</span><span class="s2">"""</span> <span class="o">%</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">),</span>
+ <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">,</span> <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">'right'</span><span class="p">,</span>
+ <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">'bottom'</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'white'</span><span class="p">)</span>
+
+<span class="n">FWHM_r2</span> <span class="o">=</span> <span class="mi">2</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="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mi">2</span><span class="p">))</span><span class="o">*</span><span class="n">width_x</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'El valor de FWHM es: '</span><span class="p">,</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">FWHM_r2</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"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>El valor de FWHM es: 24.24
+</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 ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [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="c1"># FIT IMAGEN_RED 3</span>
+
+<span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mgrid</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">14</span><span class="p">,</span> <span class="mi">0</span><span class="p">:</span><span class="mi">14</span><span class="p">]</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">40</span><span class="p">)(</span><span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span><span class="p">)</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">random</span><span class="p">(</span><span class="n">Xin</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">matshow</span><span class="p">(</span><span class="n">red_cut3</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">cubehelix</span><span class="p">)</span>
+
+<span class="n">params</span> <span class="o">=</span> <span class="n">fitgaussian</span><span class="p">(</span><span class="n">red_cut3</span><span class="p">)</span>
+<span class="n">fit</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="o">*</span><span class="n">params</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">contour</span><span class="p">(</span><span class="n">fit</span><span class="p">(</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">indices</span><span class="p">(</span><span class="n">red_cut3</span><span class="o">.</span><span class="n">shape</span><span class="p">)),</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">copper</span><span class="p">)</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">()</span>
+<span class="p">(</span><span class="n">height</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">)</span> <span class="o">=</span> <span class="n">params</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.95</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">,</span> <span class="s2">"""</span>
+<span class="s2">x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">y : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_y : </span><span class="si">%.1f</span><span class="s2">"""</span> <span class="o">%</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">),</span>
+ <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">,</span> <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">'right'</span><span class="p">,</span>
+ <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">'bottom'</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'white'</span><span class="p">)</span>
+
+<span class="n">FWHM_r3</span> <span class="o">=</span> <span class="mi">2</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="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mi">2</span><span class="p">))</span><span class="o">*</span><span class="n">width_x</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'El valor de FWHM es: '</span><span class="p">,</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">FWHM_r3</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"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>El valor de FWHM es: 22.8
+</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 ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [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="c1"># FIT IMAGEN_RED 4</span>
+
+<span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mgrid</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">20</span><span class="p">,</span> <span class="mi">0</span><span class="p">:</span><span class="mi">20</span><span class="p">]</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">40</span><span class="p">)(</span><span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span><span class="p">)</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">random</span><span class="p">(</span><span class="n">Xin</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">matshow</span><span class="p">(</span><span class="n">red_cut4</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">cubehelix</span><span class="p">)</span>
+
+<span class="n">params</span> <span class="o">=</span> <span class="n">fitgaussian</span><span class="p">(</span><span class="n">red_cut4</span><span class="p">)</span>
+<span class="n">fit</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="o">*</span><span class="n">params</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">contour</span><span class="p">(</span><span class="n">fit</span><span class="p">(</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">indices</span><span class="p">(</span><span class="n">red_cut4</span><span class="o">.</span><span class="n">shape</span><span class="p">)),</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">copper</span><span class="p">)</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">()</span>
+<span class="p">(</span><span class="n">height</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">)</span> <span class="o">=</span> <span class="n">params</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.95</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">,</span> <span class="s2">"""</span>
+<span class="s2">x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">y : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_y : </span><span class="si">%.1f</span><span class="s2">"""</span> <span class="o">%</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">),</span>
+ <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">,</span> <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">'right'</span><span class="p">,</span>
+ <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">'bottom'</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'white'</span><span class="p">)</span>
+
+<span class="n">FWHM_r4</span> <span class="o">=</span> <span class="mi">2</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="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mi">2</span><span class="p">))</span><span class="o">*</span><span class="n">width_x</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'El valor de FWHM es: '</span><span class="p">,</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">FWHM_r4</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"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>El valor de FWHM es: 40.37
+</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 ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [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">FWHM_r</span> <span class="o">=</span> <span class="p">[</span><span class="n">FWHM_r1</span><span class="p">,</span> <span class="n">FWHM_r2</span><span class="p">,</span> <span class="n">FWHM_r3</span><span class="p">,</span> <span class="n">FWHM_r4</span><span class="p">]</span>
+<span class="n">Media</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">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">FWHM_r</span><span class="p">),</span><span class="mi">2</span><span class="p">)</span>
+<span class="n">Mediana</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">median</span><span class="p">(</span><span class="n">FWHM_r</span><span class="p">),</span><span class="mi">2</span><span class="p">)</span>
+<span class="n">Desvio</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">FWHM_r</span><span class="p">),</span><span class="mi">2</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'El valor medio de FWHM es: '</span><span class="p">,</span> <span class="n">Media</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'La mediana de FWHM es: '</span><span class="p">,</span> <span class="n">Mediana</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'El desvÃo estándar de FWHM es: '</span><span class="p">,</span> <span class="n">Desvio</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">FWHM_r</span><span class="p">,</span> <span class="n">bins</span> <span class="o">=</span> <span class="p">[</span><span class="mi">10</span><span class="p">,</span><span class="mi">20</span><span class="p">,</span><span class="mi">30</span><span class="p">,</span><span class="mi">40</span><span class="p">,</span><span class="mi">50</span><span class="p">,</span><span class="mi">60</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="s2">"Histograma Red"</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">show</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-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>El valor medio de FWHM es: 34.28
+La mediana de FWHM es: 32.31
+El desvÃo estándar de FWHM es: 11.26
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+
+ <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
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+<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">
+<p> </p>
+<p><strong>Comentario</strong>: El valor medio para el canal rojo es de 34.28, lo cual indica que el cielo posee altos valores de rojo.</p>
+<p> </p>
+<p><strong>Paso 9</strong>: Se realiza el mismo proceso para el canal verde.</p>
+<p> </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 [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="n">image_green</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">copy</span><span class="p">(</span><span class="n">imageRGB</span><span class="p">)</span> <span class="c1"># creo una copia de la imagen para preservar la original</span>
+<span class="n">image_green</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span><span class="o">=</span><span class="mi">0</span>
+<span class="n">image_green</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">=</span><span class="mi">0</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"Canal verde"</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">image_green</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[19]:</div>
+
+
+
+
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<pre><matplotlib.image.AxesImage at 0x7effe60c94a8></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 ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [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">im_green</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">image_green</span><span class="p">,</span> <span class="n">axis</span> <span class="o">=</span> <span class="mi">2</span><span class="p">)</span>
+<span class="n">green_cut1</span> <span class="o">=</span> <span class="n">im_green</span><span class="p">[</span><span class="mi">540</span><span class="p">:</span><span class="mi">570</span><span class="p">,</span><span class="mi">640</span><span class="p">:</span><span class="mi">680</span><span class="p">]</span>
+
+<span class="n">max_index</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">green_cut1</span> <span class="o">>=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">green_cut1</span><span class="p">))</span>
+<span class="n">g_x01</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+<span class="n">g_y01</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+
+<span class="n">green_cut2</span> <span class="o">=</span> <span class="n">im_green</span><span class="p">[</span><span class="mi">300</span><span class="p">:</span><span class="mi">315</span><span class="p">,</span><span class="mi">470</span><span class="p">:</span><span class="mi">485</span><span class="p">]</span>
+
+<span class="n">max_index</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">green_cut2</span> <span class="o">>=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">green_cut2</span><span class="p">))</span>
+<span class="n">g_x02</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+<span class="n">g_y02</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+
+<span class="n">green_cut3</span> <span class="o">=</span> <span class="n">im_green</span><span class="p">[</span><span class="mi">310</span><span class="p">:</span><span class="mi">325</span><span class="p">,</span><span class="mi">615</span><span class="p">:</span><span class="mi">640</span><span class="p">]</span>
+
+<span class="n">max_index</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">green_cut3</span> <span class="o">>=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">green_cut3</span><span class="p">))</span>
+<span class="n">g_x03</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+<span class="n">g_y03</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+
+<span class="n">green_cut4</span> <span class="o">=</span> <span class="n">im_green</span><span class="p">[</span><span class="mi">295</span><span class="p">:</span><span class="mi">315</span><span class="p">,</span><span class="mi">470</span><span class="p">:</span><span class="mi">490</span><span class="p">]</span>
+
+<span class="n">max_index</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">green_cut4</span> <span class="o">>=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">green_cut4</span><span class="p">))</span>
+<span class="n">g_x04</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+<span class="n">g_y04</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">0</span><span class="p">])</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="mi">2</span><span class="p">,</span><span class="mi">2</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="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">green_cut1</span><span class="p">)</span>
+<span class="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">g_x01</span><span class="p">,</span><span class="n">g_y01</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'b'</span><span class="p">,</span><span class="n">marker</span><span class="o">=</span><span class="s1">'+'</span><span class="p">,</span><span class="n">markersize</span> <span class="o">=</span> <span class="mi">30</span><span class="p">)</span>
+
+<span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">green_cut2</span><span class="p">)</span>
+<span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">g_x02</span><span class="p">,</span><span class="n">g_y02</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'b'</span><span class="p">,</span><span class="n">marker</span><span class="o">=</span><span class="s1">'+'</span><span class="p">,</span><span class="n">markersize</span> <span class="o">=</span> <span class="mi">30</span><span class="p">)</span>
+
+<span class="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">green_cut3</span><span class="p">)</span>
+<span class="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">g_x03</span><span class="p">,</span><span class="n">g_y03</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'b'</span><span class="p">,</span><span class="n">marker</span><span class="o">=</span><span class="s1">'+'</span><span class="p">,</span><span class="n">markersize</span> <span class="o">=</span> <span class="mi">30</span><span class="p">)</span>
+
+<span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">green_cut4</span><span class="p">)</span>
+<span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">g_x04</span><span class="p">,</span><span class="n">g_y04</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'b'</span><span class="p">,</span><span class="n">marker</span><span class="o">=</span><span class="s1">'+'</span><span class="p">,</span><span class="n">markersize</span> <span class="o">=</span> <span class="mi">30</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[20]:</div>
+
+
+
+
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<pre>[<matplotlib.lines.Line2D at 0x7effe5f2b978>]</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 ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [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="c1"># FIT IMAGEN_GREEN 1</span>
+
+<span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mgrid</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">30</span><span class="p">,</span> <span class="mi">0</span><span class="p">:</span><span class="mi">40</span><span class="p">]</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">40</span><span class="p">)(</span><span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span><span class="p">)</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">random</span><span class="p">(</span><span class="n">Xin</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">matshow</span><span class="p">(</span><span class="n">green_cut1</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">cubehelix</span><span class="p">)</span>
+
+<span class="n">params</span> <span class="o">=</span> <span class="n">fitgaussian</span><span class="p">(</span><span class="n">green_cut1</span><span class="p">)</span>
+<span class="n">fit</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="o">*</span><span class="n">params</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">contour</span><span class="p">(</span><span class="n">fit</span><span class="p">(</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">indices</span><span class="p">(</span><span class="n">green_cut1</span><span class="o">.</span><span class="n">shape</span><span class="p">)),</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">copper</span><span class="p">)</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">()</span>
+<span class="p">(</span><span class="n">height</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">)</span> <span class="o">=</span> <span class="n">params</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.95</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">,</span> <span class="s2">"""</span>
+<span class="s2">x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">y : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_y : </span><span class="si">%.1f</span><span class="s2">"""</span> <span class="o">%</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">),</span>
+ <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">,</span> <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">'right'</span><span class="p">,</span>
+ <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">'bottom'</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'white'</span><span class="p">)</span>
+
+<span class="n">FWHM_g1</span> <span class="o">=</span> <span class="mi">2</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="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mi">2</span><span class="p">))</span><span class="o">*</span><span class="n">width_x</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'El valor de FWHM es: '</span><span class="p">,</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">FWHM_g1</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"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>El valor de FWHM es: 37.36
+</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 ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [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="c1"># FIT IMAGEN_GREEN 2</span>
+
+<span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mgrid</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">15</span><span class="p">,</span> <span class="mi">0</span><span class="p">:</span><span class="mi">25</span><span class="p">]</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">40</span><span class="p">)(</span><span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span><span class="p">)</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">random</span><span class="p">(</span><span class="n">Xin</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">matshow</span><span class="p">(</span><span class="n">green_cut2</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">cubehelix</span><span class="p">)</span>
+
+<span class="n">params</span> <span class="o">=</span> <span class="n">fitgaussian</span><span class="p">(</span><span class="n">green_cut2</span><span class="p">)</span>
+<span class="n">fit</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="o">*</span><span class="n">params</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">contour</span><span class="p">(</span><span class="n">fit</span><span class="p">(</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">indices</span><span class="p">(</span><span class="n">green_cut2</span><span class="o">.</span><span class="n">shape</span><span class="p">)),</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">copper</span><span class="p">)</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">()</span>
+<span class="p">(</span><span class="n">height</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">)</span> <span class="o">=</span> <span class="n">params</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.95</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">,</span> <span class="s2">"""</span>
+<span class="s2">x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">y : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_y : </span><span class="si">%.1f</span><span class="s2">"""</span> <span class="o">%</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">),</span>
+ <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">,</span> <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">'right'</span><span class="p">,</span>
+ <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">'bottom'</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'white'</span><span class="p">)</span>
+
+<span class="n">FWHM_g2</span> <span class="o">=</span> <span class="mi">2</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="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mi">2</span><span class="p">))</span><span class="o">*</span><span class="n">width_x</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'El valor de FWHM es: '</span><span class="p">,</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">FWHM_g2</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"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>El valor de FWHM es: 20.68
+</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 ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [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"># FIT IMAGEN_GREEN 3</span>
+
+<span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mgrid</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">14</span><span class="p">,</span> <span class="mi">0</span><span class="p">:</span><span class="mi">14</span><span class="p">]</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">40</span><span class="p">)(</span><span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span><span class="p">)</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">random</span><span class="p">(</span><span class="n">Xin</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">matshow</span><span class="p">(</span><span class="n">green_cut3</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">cubehelix</span><span class="p">)</span>
+
+<span class="n">params</span> <span class="o">=</span> <span class="n">fitgaussian</span><span class="p">(</span><span class="n">green_cut3</span><span class="p">)</span>
+<span class="n">fit</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="o">*</span><span class="n">params</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">contour</span><span class="p">(</span><span class="n">fit</span><span class="p">(</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">indices</span><span class="p">(</span><span class="n">green_cut3</span><span class="o">.</span><span class="n">shape</span><span class="p">)),</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">copper</span><span class="p">)</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">()</span>
+<span class="p">(</span><span class="n">height</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">)</span> <span class="o">=</span> <span class="n">params</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.95</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">,</span> <span class="s2">"""</span>
+<span class="s2">x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">y : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_y : </span><span class="si">%.1f</span><span class="s2">"""</span> <span class="o">%</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">),</span>
+ <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">,</span> <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">'right'</span><span class="p">,</span>
+ <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">'bottom'</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'white'</span><span class="p">)</span>
+
+<span class="n">FWHM_g3</span> <span class="o">=</span> <span class="mi">2</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="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mi">2</span><span class="p">))</span><span class="o">*</span><span class="n">width_x</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'El valor de FWHM es: '</span><span class="p">,</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">FWHM_g3</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"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>El valor de FWHM es: 18.0
+</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 ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [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="c1"># FIT IMAGEN_GREEN 4</span>
+
+<span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mgrid</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">20</span><span class="p">,</span> <span class="mi">0</span><span class="p">:</span><span class="mi">20</span><span class="p">]</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">40</span><span class="p">)(</span><span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span><span class="p">)</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">random</span><span class="p">(</span><span class="n">Xin</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">matshow</span><span class="p">(</span><span class="n">green_cut4</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">cubehelix</span><span class="p">)</span>
+
+<span class="n">params</span> <span class="o">=</span> <span class="n">fitgaussian</span><span class="p">(</span><span class="n">green_cut4</span><span class="p">)</span>
+<span class="n">fit</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="o">*</span><span class="n">params</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">contour</span><span class="p">(</span><span class="n">fit</span><span class="p">(</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">indices</span><span class="p">(</span><span class="n">green_cut4</span><span class="o">.</span><span class="n">shape</span><span class="p">)),</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">copper</span><span class="p">)</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">()</span>
+<span class="p">(</span><span class="n">height</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">)</span> <span class="o">=</span> <span class="n">params</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.95</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">,</span> <span class="s2">"""</span>
+<span class="s2">x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">y : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_y : </span><span class="si">%.1f</span><span class="s2">"""</span> <span class="o">%</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">),</span>
+ <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">,</span> <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">'right'</span><span class="p">,</span>
+ <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">'bottom'</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'white'</span><span class="p">)</span>
+
+<span class="n">FWHM_g4</span> <span class="o">=</span> <span class="mi">2</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="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mi">2</span><span class="p">))</span><span class="o">*</span><span class="n">width_x</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'El valor de FWHM es: '</span><span class="p">,</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">FWHM_g4</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"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>El valor de FWHM es: 33.55
+</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 ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [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="n">FWHM_g</span> <span class="o">=</span> <span class="p">[</span><span class="n">FWHM_g1</span><span class="p">,</span> <span class="n">FWHM_g2</span><span class="p">,</span> <span class="n">FWHM_g3</span><span class="p">,</span> <span class="n">FWHM_g4</span><span class="p">]</span>
+<span class="n">Media</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">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">FWHM_g</span><span class="p">),</span><span class="mi">2</span><span class="p">)</span>
+<span class="n">Mediana</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">median</span><span class="p">(</span><span class="n">FWHM_g</span><span class="p">),</span><span class="mi">2</span><span class="p">)</span>
+<span class="n">Desvio</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">FWHM_g</span><span class="p">),</span><span class="mi">2</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'El valor medio de FWHM es: '</span><span class="p">,</span> <span class="n">Media</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'La mediana de FWHM es: '</span><span class="p">,</span> <span class="n">Mediana</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'El desvÃo estándar de FWHM es: '</span><span class="p">,</span> <span class="n">Desvio</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">FWHM_g</span><span class="p">,</span> <span class="n">bins</span> <span class="o">=</span> <span class="p">[</span><span class="mi">10</span><span class="p">,</span><span class="mi">20</span><span class="p">,</span><span class="mi">30</span><span class="p">,</span><span class="mi">40</span><span class="p">,</span><span class="mi">50</span><span class="p">,</span><span class="mi">60</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="s2">"Histograma Green"</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
+
+ </div>
+</div>
+</div>
+</div>
+
+<div class="jp-Cell-outputWrapper">
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+ <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
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+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>El valor medio de FWHM es: 27.4
+La mediana de FWHM es: 27.11
+El desvÃo estándar de FWHM es: 8.22
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
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+ <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
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+<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">
+<p> </p>
+<p><strong>Comentario</strong>: El valor medio para el canal verde es de 27.4, un poco menor que para el color rojo.</p>
+<p> </p>
+<p><strong>Paso 9</strong>: Se realiza el mismo proceso para el canal azúl.</p>
+<p> </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 [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">image_blue</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">copy</span><span class="p">(</span><span class="n">imageRGB</span><span class="p">)</span> <span class="c1"># creo una copia de la imagen para preservar la original</span>
+<span class="n">image_blue</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span><span class="o">=</span><span class="mi">0</span>
+<span class="n">image_blue</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span><span class="o">=</span><span class="mi">0</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"Canal azul"</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">image_blue</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[26]:</div>
+
+
+
+
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<pre><matplotlib.image.AxesImage at 0x7effe5c60588></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 ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [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">im_blue</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">image_blue</span><span class="p">,</span> <span class="n">axis</span> <span class="o">=</span> <span class="mi">2</span><span class="p">)</span>
+<span class="n">blue_cut1</span> <span class="o">=</span> <span class="n">im_green</span><span class="p">[</span><span class="mi">540</span><span class="p">:</span><span class="mi">570</span><span class="p">,</span><span class="mi">640</span><span class="p">:</span><span class="mi">680</span><span class="p">]</span>
+
+<span class="n">max_index</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">blue_cut1</span> <span class="o">>=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">blue_cut1</span><span class="p">))</span>
+<span class="n">b_x01</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+<span class="n">b_y01</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+
+<span class="n">blue_cut2</span> <span class="o">=</span> <span class="n">im_blue</span><span class="p">[</span><span class="mi">300</span><span class="p">:</span><span class="mi">315</span><span class="p">,</span><span class="mi">470</span><span class="p">:</span><span class="mi">485</span><span class="p">]</span>
+
+<span class="n">max_index</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">blue_cut2</span> <span class="o">>=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">blue_cut2</span><span class="p">))</span>
+<span class="n">b_x02</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+<span class="n">b_y02</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+
+<span class="n">blue_cut3</span> <span class="o">=</span> <span class="n">im_blue</span><span class="p">[</span><span class="mi">310</span><span class="p">:</span><span class="mi">325</span><span class="p">,</span><span class="mi">615</span><span class="p">:</span><span class="mi">640</span><span class="p">]</span>
+
+<span class="n">max_index</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">blue_cut3</span> <span class="o">>=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">blue_cut3</span><span class="p">))</span>
+<span class="n">b_x03</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+<span class="n">b_y03</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+
+<span class="n">blue_cut4</span> <span class="o">=</span> <span class="n">im_blue</span><span class="p">[</span><span class="mi">295</span><span class="p">:</span><span class="mi">315</span><span class="p">,</span><span class="mi">470</span><span class="p">:</span><span class="mi">490</span><span class="p">]</span>
+
+<span class="n">max_index</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">blue_cut4</span> <span class="o">>=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">blue_cut4</span><span class="p">))</span>
+<span class="n">b_x04</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+<span class="n">b_y04</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">max_index</span><span class="p">[</span><span class="mi">0</span><span class="p">])</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="mi">2</span><span class="p">,</span><span class="mi">2</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="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">blue_cut1</span><span class="p">)</span>
+<span class="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">g_x01</span><span class="p">,</span><span class="n">g_y01</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'b'</span><span class="p">,</span><span class="n">marker</span><span class="o">=</span><span class="s1">'+'</span><span class="p">,</span><span class="n">markersize</span> <span class="o">=</span> <span class="mi">30</span><span class="p">)</span>
+
+<span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">blue_cut2</span><span class="p">)</span>
+<span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">g_x02</span><span class="p">,</span><span class="n">g_y02</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'b'</span><span class="p">,</span><span class="n">marker</span><span class="o">=</span><span class="s1">'+'</span><span class="p">,</span><span class="n">markersize</span> <span class="o">=</span> <span class="mi">30</span><span class="p">)</span>
+
+<span class="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">blue_cut3</span><span class="p">)</span>
+<span class="n">axs</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">g_x03</span><span class="p">,</span><span class="n">g_y03</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'b'</span><span class="p">,</span><span class="n">marker</span><span class="o">=</span><span class="s1">'+'</span><span class="p">,</span><span class="n">markersize</span> <span class="o">=</span> <span class="mi">30</span><span class="p">)</span>
+
+<span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">blue_cut4</span><span class="p">)</span>
+<span class="n">axs</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">g_x04</span><span class="p">,</span><span class="n">g_y04</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'b'</span><span class="p">,</span><span class="n">marker</span><span class="o">=</span><span class="s1">'+'</span><span class="p">,</span><span class="n">markersize</span> <span class="o">=</span> <span class="mi">30</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>[<matplotlib.lines.Line2D at 0x7effe5b08320>]</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 ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [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="c1"># FIT IMAGEN_BLUE 1</span>
+
+<span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mgrid</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">30</span><span class="p">,</span> <span class="mi">0</span><span class="p">:</span><span class="mi">40</span><span class="p">]</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">40</span><span class="p">)(</span><span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span><span class="p">)</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">random</span><span class="p">(</span><span class="n">Xin</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">matshow</span><span class="p">(</span><span class="n">blue_cut1</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">cubehelix</span><span class="p">)</span>
+
+<span class="n">params</span> <span class="o">=</span> <span class="n">fitgaussian</span><span class="p">(</span><span class="n">blue_cut1</span><span class="p">)</span>
+<span class="n">fit</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="o">*</span><span class="n">params</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">contour</span><span class="p">(</span><span class="n">fit</span><span class="p">(</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">indices</span><span class="p">(</span><span class="n">blue_cut1</span><span class="o">.</span><span class="n">shape</span><span class="p">)),</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">copper</span><span class="p">)</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">()</span>
+<span class="p">(</span><span class="n">height</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">)</span> <span class="o">=</span> <span class="n">params</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.95</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">,</span> <span class="s2">"""</span>
+<span class="s2">x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">y : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_y : </span><span class="si">%.1f</span><span class="s2">"""</span> <span class="o">%</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">),</span>
+ <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">,</span> <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">'right'</span><span class="p">,</span>
+ <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">'bottom'</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'white'</span><span class="p">)</span>
+
+<span class="n">FWHM_b1</span> <span class="o">=</span> <span class="mi">2</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="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mi">2</span><span class="p">))</span><span class="o">*</span><span class="n">width_x</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'El valor de FWHM es: '</span><span class="p">,</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">FWHM_b1</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"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>El valor de FWHM es: 37.36
+</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 ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [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="c1"># FIT IMAGEN_BLUE 2</span>
+
+<span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mgrid</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">15</span><span class="p">,</span> <span class="mi">0</span><span class="p">:</span><span class="mi">25</span><span class="p">]</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">40</span><span class="p">)(</span><span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span><span class="p">)</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">random</span><span class="p">(</span><span class="n">Xin</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">matshow</span><span class="p">(</span><span class="n">blue_cut2</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">cubehelix</span><span class="p">)</span>
+
+<span class="n">params</span> <span class="o">=</span> <span class="n">fitgaussian</span><span class="p">(</span><span class="n">blue_cut2</span><span class="p">)</span>
+<span class="n">fit</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="o">*</span><span class="n">params</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">contour</span><span class="p">(</span><span class="n">fit</span><span class="p">(</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">indices</span><span class="p">(</span><span class="n">blue_cut2</span><span class="o">.</span><span class="n">shape</span><span class="p">)),</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">copper</span><span class="p">)</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">()</span>
+<span class="p">(</span><span class="n">height</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">)</span> <span class="o">=</span> <span class="n">params</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.95</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">,</span> <span class="s2">"""</span>
+<span class="s2">x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">y : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_y : </span><span class="si">%.1f</span><span class="s2">"""</span> <span class="o">%</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">),</span>
+ <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">,</span> <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">'right'</span><span class="p">,</span>
+ <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">'bottom'</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'white'</span><span class="p">)</span>
+
+<span class="n">FWHM_b2</span> <span class="o">=</span> <span class="mi">2</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="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mi">2</span><span class="p">))</span><span class="o">*</span><span class="n">width_x</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'El valor de FWHM es: '</span><span class="p">,</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">FWHM_b2</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"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>El valor de FWHM es: 16.14
+</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 ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [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="c1"># FIT IMAGEN_BLUE 3</span>
+
+<span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mgrid</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">14</span><span class="p">,</span> <span class="mi">0</span><span class="p">:</span><span class="mi">14</span><span class="p">]</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">40</span><span class="p">)(</span><span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span><span class="p">)</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">random</span><span class="p">(</span><span class="n">Xin</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">matshow</span><span class="p">(</span><span class="n">blue_cut3</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">cubehelix</span><span class="p">)</span>
+
+<span class="n">params</span> <span class="o">=</span> <span class="n">fitgaussian</span><span class="p">(</span><span class="n">blue_cut3</span><span class="p">)</span>
+<span class="n">fit</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="o">*</span><span class="n">params</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">contour</span><span class="p">(</span><span class="n">fit</span><span class="p">(</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">indices</span><span class="p">(</span><span class="n">blue_cut3</span><span class="o">.</span><span class="n">shape</span><span class="p">)),</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">copper</span><span class="p">)</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">()</span>
+<span class="p">(</span><span class="n">height</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">)</span> <span class="o">=</span> <span class="n">params</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.95</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">,</span> <span class="s2">"""</span>
+<span class="s2">x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">y : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_y : </span><span class="si">%.1f</span><span class="s2">"""</span> <span class="o">%</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">),</span>
+ <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">,</span> <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">'right'</span><span class="p">,</span>
+ <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">'bottom'</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'white'</span><span class="p">)</span>
+
+<span class="n">FWHM_b3</span> <span class="o">=</span> <span class="mi">2</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="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mi">2</span><span class="p">))</span><span class="o">*</span><span class="n">width_x</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'El valor de FWHM es: '</span><span class="p">,</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">FWHM_b3</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"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>El valor de FWHM es: 15.1
+</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 ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [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="c1"># FIT IMAGEN_BLUE 4</span>
+
+<span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mgrid</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">20</span><span class="p">,</span> <span class="mi">0</span><span class="p">:</span><span class="mi">20</span><span class="p">]</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">40</span><span class="p">)(</span><span class="n">Xin</span><span class="p">,</span> <span class="n">Yin</span><span class="p">)</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">random</span><span class="p">(</span><span class="n">Xin</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">matshow</span><span class="p">(</span><span class="n">blue_cut4</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">cubehelix</span><span class="p">)</span>
+
+<span class="n">params</span> <span class="o">=</span> <span class="n">fitgaussian</span><span class="p">(</span><span class="n">blue_cut4</span><span class="p">)</span>
+<span class="n">fit</span> <span class="o">=</span> <span class="n">gaussian</span><span class="p">(</span><span class="o">*</span><span class="n">params</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">contour</span><span class="p">(</span><span class="n">fit</span><span class="p">(</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">indices</span><span class="p">(</span><span class="n">blue_cut4</span><span class="o">.</span><span class="n">shape</span><span class="p">)),</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">copper</span><span class="p">)</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">()</span>
+<span class="p">(</span><span class="n">height</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">)</span> <span class="o">=</span> <span class="n">params</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.95</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">,</span> <span class="s2">"""</span>
+<span class="s2">x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">y : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_x : </span><span class="si">%.1f</span><span class="s2"></span>
+<span class="s2">width_y : </span><span class="si">%.1f</span><span class="s2">"""</span> <span class="o">%</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">width_x</span><span class="p">,</span> <span class="n">width_y</span><span class="p">),</span>
+ <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">,</span> <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">'right'</span><span class="p">,</span>
+ <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">'bottom'</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">,</span><span class="n">c</span><span class="o">=</span><span class="s1">'white'</span><span class="p">)</span>
+
+<span class="n">FWHM_b4</span> <span class="o">=</span> <span class="mi">2</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="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mi">2</span><span class="p">))</span><span class="o">*</span><span class="n">width_x</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'El valor de FWHM es: '</span><span class="p">,</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">FWHM_b4</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"></div>
+
+
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain">
+<pre>El valor de FWHM es: 24.69
+</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 ">
+<div class="jp-Cell-inputWrapper">
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [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">FWHM_b</span> <span class="o">=</span> <span class="p">[</span><span class="n">FWHM_b1</span><span class="p">,</span> <span class="n">FWHM_b2</span><span class="p">,</span> <span class="n">FWHM_b3</span><span class="p">,</span> <span class="n">FWHM_b4</span><span class="p">]</span>
+<span class="n">Media</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">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">FWHM_b</span><span class="p">),</span><span class="mi">2</span><span class="p">)</span>
+<span class="n">Mediana</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">median</span><span class="p">(</span><span class="n">FWHM_b</span><span class="p">),</span><span class="mi">2</span><span class="p">)</span>
+<span class="n">Desvio</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">FWHM_b</span><span class="p">),</span><span class="mi">2</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'El valor medio de FWHM es: '</span><span class="p">,</span> <span class="n">Media</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'La mediana de FWHM es: '</span><span class="p">,</span> <span class="n">Mediana</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'El desvÃo estándar de FWHM es: '</span><span class="p">,</span> <span class="n">Desvio</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">FWHM_b</span><span class="p">,</span> <span class="n">bins</span> <span class="o">=</span> <span class="p">[</span><span class="mi">10</span><span class="p">,</span><span class="mi">20</span><span class="p">,</span><span class="mi">30</span><span class="p">,</span><span class="mi">40</span><span class="p">,</span><span class="mi">50</span><span class="p">,</span><span class="mi">60</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="s2">"Histograma Blue"</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">show</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>El valor medio de FWHM es: 23.32
+La mediana de FWHM es: 20.41
+El desvÃo estándar de FWHM es: 8.92
+</pre>
+</div>
+</div>
+
+<div class="jp-OutputArea-child">
+
+
+ <div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+
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+
+<div class="jp-RenderedImage jp-OutputArea-output ">
+<img 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+<p> </p>
+<p><strong>Comentario</strong>: El valor medio para el canal verde es de 23.32, siento éste el menor de todos. Esto nos indica que se obtiene una mejor calidad de imagen ultizando la banda azúl.</p>
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diff --git a/Tarea-Clase-5-Ejercicio-01.ipynb b/Tarea-Clase-5-Ejercicio-01.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..27008afaadff5bd44877acc79474fcb0bd234f4b
--- /dev/null
+++ b/Tarea-Clase-5-Ejercicio-01.ipynb
@@ -0,0 +1,1694 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Ejercicio Nº 1: Ejercicios para practicar numpy y optimización con scipy\n",
+ " \n",
+ " \n",
+ "\n",
+ "**Autor**: Nicolás Fernández Cinquepalmi\n",
+ "\n",
+ " \n",
+ "\n",
+ "**Breve descripción**: En observaciones astronómicas e imágenes en general, llamamos resolución espacial a la distancia angular minima a la que pueden estar dos fuentes puntuales de luz y aun poder ser reconocidas como objetos individuales.\n",
+ " \n",
+ "\n",
+ "En el caso de la astronomÃa, este efecto tiene que ver con la dispersión de la luz al atravezar la atmósfera, la cual hace que una estrella, que deberÃa en principio aparecer como una fuente puntual (pues las estrellas están muy lejos), aparezca en cambio como una mancha. AsÃ, si dos estrellas están demasiado cerca sus manchas se superpondrán hasta el punto en que sea imposible distinguirlas como fuentes individuales.\n",
+ " \n",
+ "\n",
+ "Para modelar este efecto, tÃpicamente consideramos la acción de la atmósfera como la convolución de la imagen \"perfecta\" (como se verÃa desde el espacio) con un kernel gaussiano. El ancho de esa función gaussiana 2D caracteriza las condiciones de observación, varÃa con las condiciones climáticas y para cada sitio de la Tierra.\n",
+ " \n",
+ "\n",
+ "La resolución espacial normalmente se toma como el FWHM de la gaussiana caracteristica registrada durante una observación. Es decir, si dos estrellas están a una distancia aparente en el cielo menor que el FWHM del efecto atmosférico, la luz de ambas fuentes se mezclará después de la convolución hasta el punto de impedir reconocerlas de modo individual.\n",
+ " \n",
+ "\n",
+ "Además, la atmósfera puede interactuar de maneras distintas con la luz de distintas longitudes de onda, de manera que el ancho de la gaussiana puede ser distinto para observaciones con diferentes filtros.\n",
+ " \n",
+ "\n",
+ "El objetivo de esta tarea es medir de forma aproximada la resolución espacial en una noche de observación en Zapatoca, Santander (Colombia), a partir de una foto del cielo estrellado.\n",
+ "\n",
+ " \n",
+ "\n",
+ "**Paso 1**: Comenzamos con importar los módulos necesarios para este trabajo."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+ "from matplotlib import image\n",
+ "from matplotlib import pyplot\n",
+ "from PIL import Image\n",
+ "from scipy import optimize\n",
+ "from matplotlib.pyplot import figure"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "\n",
+ " \n",
+ "\n",
+ "**Paso 2**: Cargamos la imagen desde su ubicación en el repositorio.\n",
+ "\n",
+ " \n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Dimensiones de la imagen:\n",
+ "(789, 1184, 3)\n",
+ "Dtype:\n",
+ "float64\n"
+ ]
+ }
+ ],
+ "source": [
+ "imageRGB = image.imread('/home/fernandezn/ejercicios-clase-05-datos/data/zapatocaImage.jpeg')/255\n",
+ "print(\"Dimensiones de la imagen:\")\n",
+ "print(imageRGB.shape)\n",
+ "print(\"Dtype:\")\n",
+ "print(imageRGB.dtype)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "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": [
+ "pyplot.imshow(imageRGB)\n",
+ "pyplot.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "\n",
+ " \n",
+ "\n",
+ "**Paso 3**: Convertimos la imagen RGB en escala de grises haciendo un promedio de los 3 canales.\n",
+ "\n",
+ " \n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<matplotlib.image.AxesImage at 0x7effe9c67048>"
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "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": [
+ "im_gray = np.mean(imageRGB, axis = 2)\n",
+ "plt.imshow(im_gray, cmap='gray')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "\n",
+ " \n",
+ "\n",
+ "**Paso 4**: Realizamos cortes de la imagen, localizados en una estrella particular. Luego calculamos los centros para localizarlos en la imagen.\n",
+ "\n",
+ " \n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[<matplotlib.lines.Line2D at 0x7effe9b9a710>]"
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 720x720 with 4 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "im_cut1 = im_gray[540:570,640:680]\n",
+ "\n",
+ "max_index = np.where(im_cut1 >= np.max(im_cut1))\n",
+ "x01 = np.mean(max_index[1])\n",
+ "y01 = np.mean(max_index[0])\n",
+ "\n",
+ "im_cut2 = im_gray[300:315,470:485]\n",
+ "\n",
+ "max_index = np.where(im_cut2 >= np.max(im_cut2))\n",
+ "x02 = np.mean(max_index[1])\n",
+ "y02 = np.mean(max_index[0])\n",
+ "\n",
+ "im_cut3 = im_gray[310:325,615:640]\n",
+ "\n",
+ "max_index = np.where(im_cut3 >= np.max(im_cut3))\n",
+ "x03 = np.mean(max_index[1])\n",
+ "y03 = np.mean(max_index[0])\n",
+ "\n",
+ "im_cut4 = im_gray[295:315,470:490]\n",
+ "\n",
+ "max_index = np.where(im_cut4 >= np.max(im_cut4))\n",
+ "x04 = np.mean(max_index[1])\n",
+ "y04 = np.mean(max_index[0])\n",
+ "\n",
+ "fig, axs = plt.subplots(2,2, figsize=(10,10))\n",
+ "axs[0,0].imshow(im_cut1, cmap='gray')\n",
+ "axs[0,0].plot(x01,y01,c='r',marker='+',markersize = 30)\n",
+ "\n",
+ "axs[1,0].imshow(im_cut2, cmap='gray')\n",
+ "axs[1,0].plot(x02,y02,c='r',marker='+',markersize = 30)\n",
+ "\n",
+ "axs[0,1].imshow(im_cut3, cmap='gray')\n",
+ "axs[0,1].plot(x03,y03,c='r',marker='+',markersize = 30)\n",
+ "\n",
+ "axs[1,1].imshow(im_cut4, cmap='gray')\n",
+ "axs[1,1].plot(x04,y04,c='r',marker='+',markersize = 30)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "\n",
+ " \n",
+ "\n",
+ "**Paso 5**: Definimos la función gaussiana 2D, la función de los momentos estadÃsticos y la función para realizar el ajuste.\n",
+ "\n",
+ " \n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def gaussian(height, center_x, center_y, width_x, width_y):\n",
+ " \"\"\"Returns a gaussian function with the given parameters\"\"\"\n",
+ " width_x = float(width_x)\n",
+ " width_y = float(width_y)\n",
+ " return lambda x,y: height*np.exp(\n",
+ " -(((center_x-x)/width_x)**2+((center_y-y)/width_y)**2)/2)\n",
+ "\n",
+ "def moments(data):\n",
+ " \"\"\"Returns (height, x, y, width_x, width_y)\n",
+ " the gaussian parameters of a 2D distribution by calculating its\n",
+ " moments \"\"\"\n",
+ " total = data.sum()\n",
+ " X, Y = np.indices(data.shape)\n",
+ " x = (X*data).sum()/total\n",
+ " y = (Y*data).sum()/total\n",
+ " col = data[:, int(y)]\n",
+ " width_x = np.sqrt(np.abs((np.arange(col.size)-x)**2*col).sum()/col.sum())\n",
+ " row = data[int(x), :]\n",
+ " width_y = np.sqrt(np.abs((np.arange(row.size)-y)**2*row).sum()/row.sum())\n",
+ " height = data.max()\n",
+ " return height, x, y, width_x, width_y\n",
+ "\n",
+ "def fitgaussian(data):\n",
+ " \"\"\"Returns (height, x, y, width_x, width_y)\n",
+ " the gaussian parameters of a 2D distribution found by a fit\"\"\"\n",
+ " params = moments(data)\n",
+ " errorfunction = lambda p: np.ravel(gaussian(*p)(*np.indices(data.shape)) - data)\n",
+ " p, success = optimize.leastsq(errorfunction, params)\n",
+ " return p"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "\n",
+ " \n",
+ "\n",
+ "**Paso 6**: Realizamos el ajuste gaussiano para cada corte y calculamos su valor de FWHM.\n",
+ "\n",
+ " \n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "El valor de FWHM es: 37.85\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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WGO/UOLc0zsUTJCvHSTbUC9bXC4I61uJ0oLpdo8MX4ZxpRi6YYWR3fYwtlbEhZbPrC1KKU4hSDyNGliCIa+k9vcOsMb044RK0tw5C0fQOAAHMLYE5xeAOwitVRtx6Fsg0YUqBiUtmOyjONNLkjvLft93srg+hyb7fuKczBGAxgNUAVoPAauj5nvis9qjnun+vCXH0S1xCICYJxsAfTXwORCEYS2tWzBFHjVfhn/sUiq0xzhmncX6Z5KwSyZt1gnV1gog2fOPXG4bnd0VZMsHA7BIDeQ7Bmv1hApHR8QTetTPHaUkQZTSWkCj1/KpSAasRVkyCQhdUtMKmaogNYZk3GJRmGbl0rouJ+SY6/DH++7abXXWhd8VkV4BcGxTZBdkWQbZVkGMRZFs4+jnDDMpgEy7rIBCVdIWhLShpD0nagtAe0GgLJra1BhMkezqjwSd4aJ9KfrXkgjKNC8slS4skq2sEm5rRjShLJTQJG4/EaPZoLJ9o4KqFVtbuD9PQNfKZRN6VZNlDlOEY7Ks3EEll6pFekGOH86Yk3BHWHYEjbd0Nw1S0I8OqcOlcF/PGW/GFNJ7e7mHTkSDx05AlBZBvg3FOhXEuwTinYLxTUOIUmNUTidAbkbQHJR0hqHJrdIYS+rdgt4SY+Esk8gjGIKZJhDjOOU3pCaVNSJ1Wg8BmBHu3NGo3gq17W5YZcq2CObkKWRZQT8ro3RqQ1Hg0qr2Smg5JjVuj3iOJnWbPoCWQIM3x9ZJLJmhcPUWyPD+fZ7e7qWgevowulW0abZ4g586wcNFsM9uqo+ys1dflpxvvOrLsWXqHY7C33kCsF4V1KlGaCSsnQTAKrxzglNjXdMKgwDnTHayc5kAIeG2vl7WHgkROoxlqN8LULIXp2YLp2QqTswRWw7Fn1haU1Hoku9vi1HolzQFJa0DSGYLIEHWv8pSXmUzy+UQoArKNkhyrINcqKLQnCH28SzA3X8E4JTGtYpqkwSs51BFnX5vGvtY4Tf7T49nUeAR/2aEwIwfeUya445xc9tQHeX67mw7/8Eh5nqDkue1BzpxiZmG5CZdVsP5QZNik3JMxYtbwk5EKa7jVKJlVmogI2FNnINpNlHpWs6FYw+dMyGHxeGj3w+sHOTUVmUHHSj9Ea/jEPBNXL8og12lgZ02QF3d56QrET7GGnwzdcMdhsIbnWWF2rsK07ARBjncl+hvXJJUeycEOSZVbo8YrqfNKAmlc3qbDGq4KKDHHGZ+hUNb9Ny1HxWlOnKszpLG/Q7KvXbKvQ6PSLQc0+VNjDe8FOm5UoqWGFVMdnDfDiaoI3tjv5Y193qOGwlRYw3vD8dbwueOMLCw30dAZ5/V9CU+OoVrDkyGZNXzYyTLLWtRrWzyu75umlzhYNdgwGSSzSmIIkSDK8HE6yuPTv52MUKRL97wmw6mDTABLJjuYM95OTQe8deSUGlXA4P0h9VyDLEbBZfMzWTzRQbs3yhObOznccmx51NcgUfQI0dwHWRqS+xbGc3v3szQImJ4lWJQnWJinMN6ZeC6+qGR/p+RAl2SfGyo8ktBgBJYhEJ4cgpOCiOq4Dp2k/xBAiQNmZAlmZCnMyBYUWrvvQ0yyvRM2dUi2dIBXX2bA0ORPfl6dQAdpTp6RqC9EqxNZF11WlcsX5LGg3ElTV5hH326mtj08JLe+gdTRmVxgYsU0G12BOC/v8hEI6zyDPmpR6dXPeleTpclkZVZpDJOaWHoHTnIPSiVZqgqcNyuD8jwL+5pgS03yBVuqyXJ2qZWrFmZhMyu8dcDL6j0eoidPzFFAlllmWJQnWJSnMC83sayOapI9HZKtrZIdbRq1vmP3TapDUJWcBmR5MjSHSrYJZrpgfpZgUTZkmxJZ5Q96EsS5qR2qe+HFkSTLHkwvtvG+xfm4bAbeOtDFyzvdp4zDHqSSLAGKswycP8tBNC55eaeXTn/vupgxsuxtu4DZ403YzZJ9DSre0Kk3KVVkaTEKLp6bRZ7LwMZDXiq6dFKwkTqydFlV3rsoi5klVuo7Iqza1EFjV+9L9ZEiS1uRk+WFCmcXC2ZlJ55Ba1CytVVja6tkZ3tyyfF/kSxP+D0w0QFnZMPiLMEUV+KaWkOSt1phTbOkspsjRwNZApgNCu+Zn8OZUzNp90VZ9U4bh5tPncOpJkuAbLvKRXMdGFXB6t0+GrtOPcYYWZ4EAUwvVcmyKxxsUun0936DUkGWLqvKpfMzsZlUXt/jprotjNlRoLtvKshyySQ775mXiSLgld0e1h/06uq4hpMszQY4o9TEygkm5hcbMSiCOp/kzUaNjU0aNX1UUO3B/zpZntgIWSZYmA3LcgQLssGoCKr9kjXNknV7ArQFej/+cJJlDybkWbhuaSF5LiPvHPby3LYOQtFjJJcOsgSwmwUXz3Xisiq8dSDA4eYT5/gYWZ6EyYUqBZkKR1oUWjw6xochkmW2w8B75mcB8PKOTlq93Yk50kiWNpPCdUuymVFipaIpxOObO+jshxVyOMhyRr6Bi6eaWTzOhMUgaPPHebMZ1jZoVPVRMrs3jJHl8Y0nfnUa4Kw8OKdAMLO7cuKelhhvVEVZXxs7wag4EmQJYDQYuXB2JmdPz8AXivPwxtajUma6yBLAZBCcP8tOcZaRTYcD7Ko9Tnc/RpbHUJKtUJ6vUtMWp6Er+YXD0MiyIMPF5QuyiGmS57d14gkeI6x0keW4DLj5zBwcZpUXdnSx4ZCv347l6SJLgwJnTrJz+QwLk3IMeMMaG6ojvFkZYX9LjFgSA09/MEaWxzcmb8q3wHnWKOeUGyhxqfgjkpcPR3j+UJSOoBwxsuwx8BRnmbh5eR65TiMv7+rkjb1uRBrJEhKP/+zpdiYWmHjncIDd3YSZDrI8Lf0ss+yCsjyFVo9GbZummwxnaOcxctmCLOJS8ty2TrzB9PuXnTnZxnvmOHAH4vxhdTMNfeTbTDecZsFF02xcOsNKtk2ltivOHzf6WXskTGTkgyr+p9ASglVVEVbtizAtR+HyqSaummbiymkm1tXEeHZvkMrOkXsoDZ0RfvNyA9cuyeXSedmMz7Xw6DtdhHReLEOFJmHNfj8IWDLJRlyDffXpcZ4/7cjSaoKpxSr+MFQ0pm9gZNqMXHVGIVImJMp0E6XZILh2kYvZpRb21AV47J2OtA6yvlCSoXLFLBtnT7JiNgi21YX53foAOxpHlrzHkMCBdo0DG0Lk2QSXTzVx4UQj55S72NUU5Zl9IbY1xEYkzDUSkzy0vpWq1hBXLMjh0xeZ+M+GjrS+9KWENfv8qAKWT7GhaZKDTal30B3WZbjJaJd52dN7bdOi+qEvitmOIjRm5roxKBp72zKJxBPLmWBnte6+eiK5yZp9yjanBS6dZUIo8MTbtXT6e3/QrqxJuufVIsmvSRznsF6UoXLTEidZNoWX9gRYXz2EZ6L1sXQxJV+OaRkuihyCG2cYWFGqEtVgTU2cZyti1Hklmiv5kkpz6S+Hhd7Y7SMsVOq80oWqc6/M+vdCMSVvV036ky3q01le9pV8Qi+hSx8lWxVP7/2yGeCSwjiXTzOTY1Oodcd5dFeYDTXRBGlG+nDg1MvtadJfSifbtzRDcNM8BbtJ8NyeMJtreum7bk5KfQHlZK8RRcB5M0yUZCms3e+loim5hBnXUc11hltP92W4ZEKmD4shzoF211GiTDUcZrh4lglFgZf2RJMSZaowt9TE+xY6CEQ07n/TQ01HDGEcvH5psMh3KFy3yMg541WicXjiYIxnDsXw9DHHxjA6EIjB0/siPLc/wpllRq6ZaeYLK2xUdsb5744QW6qG/0HWuSW/Xxvg+gUWrp5rYXxWlGd2hYmmKUWgJuH1fREumGli5XQnmgZHWlK3JD9tyLLQHiTbGqHWbcMb6eNNN0jYTQmiNHYTZVcSF41UQAAXzLBy3nQblW1RHnrbezRj+XAix65w7Vw750+1okl4riLOEwejuIcvZ8IYUoi4hDeroqyrjnLmeCM3zjXz1XPtHGgx8eBWP3uahleNEojCP98Jcd5UE+dOMZLvVPj3phA+neiboUCT8Nq+CBfMUDlnhhNNSqpaU/OiOC3I0mWJU+qK0BE00eTvw71lkLAY4eJZRswGeHlPlM40EqVRFVy/xMHsEjObq0I8vd0/7BmCXGbBtfMdXDwtcT9fPRDksUpBR/oqIoxhGKFJeKs6yoaaKOdNNHL9bDPfvTSTnQ0RHtrq51Db8OWUk8BrByM0uONcv8DCJ1ZY+femEI2e9IiYcQ1e3uXm0nmZnDfTxau7PdS2D50whymJ2OBhUCST8yOEYiqVXQ6SVX8cClQFLphhxGoSvLo3SnsaM8PYTIKPnJPNzGITz+3088S24SfK86dY+NW1uVw63cqaiiCfXtXG/Ru9Y0T5LkRcwquHo3zq8Q7+/o6PsiwDP74ii0+vcB5N7jFc2N8c5y/rgkjgI2damZSbvgoCsTi8tMNNuy/GBbNd5LuGLheOcrKUTMyLoAo43OlEOzWnVkpw1mQDOXbB2oMxWgdRkrO/yLAq3HleLoWZRv6z0cv6w8PLTkUZBr57aRafXJFBbWeMLzzZzh/Xe2lLEl87hncPonF4bm+Qu1a1s2qHn7MmmrnvmmxWTBhe/XiTV+OPbwXpDGh8YLGFmUXJQ2iHimhc8tION/6QxgWzM7Cbh8Yfo5os85xxsmwatZ1GgrH0aAzmlqpMyFXZUh2nrjN9pJHnVPnY+bm4rAp/X9vB/mHUHRkUuHaBi3uvK6Is28Af3vLw7Rc6qXePOUr+ryEUg4e2Bfjy0520eON87hwXX73ARa59+KjAF5bcvyFIg1vjpsU2Fo5Pjw0CIByTvLLLjUGFC+e4MAzhMoc3gsdglbmuCb22adETpSyLUTK3DLzBROlaQ2bvkT8AkQ796nNakiiB8jwLF83NoqIpwpsHenfz8QQakx43M6P3a+lBTzRNcabKB890ISX8Y72HRndcv+xsX2GHOnklOclNalqegY8vszEu08C6qjB/2xmnK4lyPZ7dRyRUps5p+3qX6bj46Lr/AMKcnNQt5hjFJgPjzCrFZgOZBgWXQcGpKmQaBS6DgktNfDcKgez2PpTyWLCMBGJS4o5ruGNxumIaHi2W+B6P447FaYzGqAlH8Xa7ZoVCySe4jOvPyHgk+c3SvH3kYexI3qa4k+vlROTUl7Mi4D1TTNwy14yU8J+dIV6qiJ6Se0BEh6DfDCdfPRlVuHmhian5Bl7YG2bdkZP62Gd1x+TjIh4+MTFBabaBC2fbqG6L8fregG7+3LZAfepdh4QQVYAXiAOx3k4wOEgmFyYG9OFmSIeeMsdh4NxZGbR4Yqw/mL705iWZKh86y0UwKvn7Og8dw7TkNanwgYU23jPdQqsvzo9e87K1Poq0DL9bUiqQaRDMcRiZbDMwzmJgvFVlnEWlyKxiOKnuTjCu4YlLvPE4nrhGQySGN64R1SR0l5UQCISQRz8bBbhUlUyDSpnZSKbBiqOXl1JXLE5NJEpVIE51OEpVKEZlMMaRUFQvUnFUQpPw3MEI79RH+dgZVj6yyMrKMiN/eCdEbZqML8cjGof/bApx3QIz75lpxmoUvHogPS5OdR0xNh0JsWSSlfllZrZWDvw8qVjbnielbOv7Z/1HaTY4rXCwIT2FxqwmhYvnZROOSl7bHUibgaU0y8CHznLiD0v++pYHd3B4ptOELJXPrnRQmqHy7L4Q/90eODWL+yiGWYEZDgNzXUbmZhiY4zIw3npsqHZFNWpCMXZ4ozzfEaA2FKM2HKM+HKMzptET+GQw6qsZhEj+4FU1jkFAhqqSoaoUmwyMNxkZbzYy3mRiqcvMVSb70d/74hq7/RF2+sLs8MbY6YvQFTs96LPVL/nBmgBnlxn50EIzP7/Ezr93hHnuYCTtUUBxCY9sDROKwrlTTAgBr+xPD2HuqYuQZVdZUG6hwxcesEvRqHMdspslJTnQ6oF2X3os3xfNzcJsFDyzuZ1gND36knHZxmEnSgFcOdPCzfOteMKS777iYVcawr5SDYOABRlGVmSbWJplZJbTgKE7QUZDKM4uX5RHmoPs8kY5GIjiPq7GkKGPSJuhICahPRanPRbnSPjEiRUKmbAqgnFmA1OtRuY6TMy1m/lwkQtDcaLv1aEEaW50h3mrK0THKCfPtdVRtjfF+MRiCx9aaGFeoYHfvh3Ek2b1ugSe3hVGAudMTszHdBHm+oNBMqwK58xw4Q120e7r//gZks5SCFEJdJK43j9JKf+s9/u+dJaChJ7SoML2KogfFzZmyCxMetyB6CzPnpHBtGIbr+zspKo1hKGXshHHYzA6y9IsAx9emYUvLPnrmx48oVMnSap1li6z4LMrncwrNvF2TYQ/bPDj68XJXW8ZPpw6ywyD4Jw8ExfkmTgrx4jDoBDVJLs8Md7pirDTE2O3J0ZrRNPVWeqR5VAlSz0k01laFcEMizlBng4TC5wmcowqmpTs8kd5vSPISy1RqpPkGhhOnaUeLpls5Pb5FoIxya/e9A3+paujswTguMxCArhyjpklZUbeOBTh1b2BPnbtv87yeFiMgisXJlYFT23uPCUHQ1p0lsAKKWW9ECIfeEUIsV9Kufb4Hwgh7gTuBP3SEABFWWAzw/76E4kyVZhcaGVasY0tR7xUtabHbSfHoXL7WVkEIhp/fdPbK1GmGpNyDHzpXCcus8IfNvhZXTE6w2/squCyQhOXFZhZnJVIFtwcivN8c5g32yNs6IziPx3r9x6HoCbZ4o2wpbuYjgCm24ycnWnhnCwLnxufwefGwyF/jFfaQ7zYGqIiMPq8El6qiLK3Jc4XzrTyjQuc/GtrgGf3pXdcSeCZXWEUkViSewIx3klDmGYoKnl1l4crFmZy9gwnL+/UL1rYgyGRpZSyvvt/ixDiCWAJsPak3/wZ+DMkJMtkxzIZJKU50OGDTn/qidJhUTlrmoumrgjbKvuZwnug5zArfGhFJgB/f6sLTyj9Tr/nTTLz0WUOuoIa33ixi8rO0Uc2czMMXD/ezGUFZuwGwRF/jPurgqxujbDbE9O1lJ/ukMC+QJR9gSh/avBSYFI532XjwhwLHxtn55PjHWx1R3ikKchLbSGGsZJyn6j1aHz1VT+fXmzhg2fYmZht4I8b/WlNzdezJLebBFfMteINSfalwc2u3RfjncM+lk52kOMw9Gs5PmiyFELYAUVK6e3+fDHwvcEeryw38Rauah3sEZJDAOfOzADgjT1daVFamwyC28/KxGFWuX9tB+2+eJ+JeIcCAdy6yMZ7Z9nY0RDhvje9eMPyFNehkUKGUXBVsZnrSs1McxoIxCXPN4V5tD7EDveJA3N440hGFs2ROP9uCPLvhiA5RoUr8i3cUGjlJ9My+OpEJ0/UhXm4JkTlKAkUCMXg3rU+rplt4ab5VkozVH72ho+2QPr6p0l4ZFuIDy+zcMMZNv62zkdtGvJ07qsPUd8RPSGhtx4GrbMUQkwEnuj+agAelFL+UG8fo2qROY7xp2x3WTVmlsSpadOobe+9P6as0qTHjXv0jfGzigWLJ9lYu89PxUm1OlSTvs7S561L2uawFwMJf7XbVmQzKd/Ev9Z1clAnNVQPhE5NcWF16O5rNBn51Fl2zio38+KBEH/bFDjqGyeN+gSt2ZPrJeMFfWRZz9J5w3erTabYVe4YZ+PSfAtmRbDLE+XRxiAve31Jl9hWu75KJNOSvL3QlHyZ5tLRSQJYRXKa7isQryKW/KXk6yMjljt8qt54oc3K1VkZnOt0YFQEmzxhHmn282pnkOPsWUS7dFy/OpP3SenDwCjCyQlD8SSKpC0sMfLZFXZCMfjRa16q+0NgA9BZngybQXLnChtWo+DPbwVoP/kForOvFtOfgyf7dR+PFl9lanWWUsojwLzB7t8DgaQ8N04oIqnvSL3Ml21XWDjBQmVr5BSiTBWuXOBiaqGZVZu6+kWUQ4HDJPjKhU5mFBj555YAT+8dHQHdc5wGPlZm54JcM/6YxqrGII82htjfvbzR0cCMAdgaCLI1EMQUdHB1no3r8u38fEo2daEYf23w8lRbgBHMBZ3oY32Ub7zk5RvnO/n+xS5+vsabVm+LQETyz40B7lxp5/ZlNv70lh9/mrIV9QcjvmYryNCwmaGyVdOtWjgYqAqcPd1MOCpZf0DfsjZYLJ9sY+kkO2v2+9hSlV6NU75D4YeXZzM518Av1vpGBVEuzjDy1zmZPLIom0UZRn5T6eOCje18/5DvKFGOof/oiGn8rdHH5TuauetAO+0xjW9PzOL5eQXcXGDHNMIztrYrzldfdNPqj/O1852snJC+UEWAjoDkX28HcJgFtyy2oo7g9Y/orTeqktIcjU6/oCMNNpdF5SYybQpr9/sJx1L/RppSYOby+S721Id4edcgyhoOAJNyDPzoimxcVoXvveplffXIZuU9O8vEf+Zl8c952UyxGfjZYS8XbGzn99WBE/wgxzA4SGBtV4hb97Ry57426sNxvlaeyatnZ/PBMguWEZy5HQHJN1/ycqA1xmdXOLh6lr7L2VBR36WxaluQsmwDV89L77n0MKJO6aXZcRQB1W0qkFopJN+lMLPEyN76KA2dqZdwsuwmblqWSZM7xqNvp8do1IOpeUa+cXEm3rDkR690UJ+kPvpwYJxF5dtTnJyVZaY+FOd7hzysagoSif8vmWmGFxs8YTZ4wpzhNHFnQQZ3T3dwe5mVew8FeLZxZNzEAlHJD1Z7+dSZdm5daMOkCh7Zmb6V1Z7GGKv3h7hguoXazjjvVA1/LagRI0uzUZLvkjS5FUJ6NUkGAQEsm2TCH9bYmgY/LUXAbWdPQAj4z/pOImn0DewhSndI49svdNIR0BhS6pRBwiDgw6U27ipzEJOSH1R4eLjxROPDGNKLzd4IG2o9LM4y8OVpdu6Z6+TKIjPf3eujYRj8eU9GTINfveUnFJPcMM+KRPLozvSpht44GGF8toH3zLJQ1R6nZRji14/HiIkopVlxNAkNOha8wWJ6sYFsh8o7hyOkI8Ls0nlFTCpw8OQWN53+9Dmdjc8y8LWLTiLKEcDcLJVV57j44kQnb3aGuXxzO/9pGCPKkcKmzhg3bnTzw30+zsgy8sxZWXxgvGUoJdQHDQn8aWOA1yrC3DjPxrVz0rdMlsCqbUHCMckNi6zDLjMMq2QphEDpdpkJxgQNbklcmFAMEArpxHEBpnD/RHyrUbCgzER9R4zq9gSR6UUOKfZM3ePZTnIxmJhv5uJ5BWw+4mNXQwyhU7Q8phNypSrJn7SIRcl3qnzjokzCUY3vPtdKh6+fvmB66dsAoWNFO7kCo90An5tl4/2TzLQEJZ/a6WZ1W4+kfmL/jS59icJhT/78Jtj9uvvO13l+k2R+0rZimTytH4ANV9I2o9APOd2mbkraVm/Q118fMSVvP6zjCgXQZj7mVrYq7Gf9gS6+Ni6Hr89wcHlxlK/v83K4lxe41tXHuAgmZ1oR7IMmojH+uDFRivbm+TZ8YclLB7vVAzruPUCfadhOhi8Eq7YGuH25g0tnWXl2V+/jqi8fZ8U4cFIfMcmyyWOk0Z16S9oZE02oCmw8nPrlt82kcOOyXNq9MZ7eqk/uQ0GGVeGb78nDqAq+/2Ibbf0kylTivCIjz16UwfsnmXnwcJjLX+k6jijHMFrQGI3z6SMtfKO6jTKryhNLsrhrgg3jMEuZmoTfbfCzqTbCHUtsLB+fvgzoh1pirKsIsWyimemFwyfvjbjrUCqR71KYlG9gd10Ubyj1a8TrluRgN6s8tL6VSJrWoDaTwjcuzSXLpvCjl9qoS4NxSg9mBb4138YfznTiiUpuet3DD3YE8I95AY1qPN/p57KNHbzUEubTE+2sWpLFVEf6atz0Bk3CL9/0caA1xmdWOJidRiJ7eV+Ihq4Y18y34bQMz5vhXUOWAljabdTZVZt6S9myyQ5mltp4YUcnDV3pscQZVcHdl5cwLtvIPa+2c6hleCW5KS6VR893ccskC/cfCHLdag870xBmNob0oDMq+b89Xj623U2mUfDoGVncWDK8rjaROPzkdR8NnjhfPsfJhJz0SJhxDR7ZEkhUSl1oG5aQ2XcNWU4uMJDjUNlcmXqjTrbDwGXzszjQGGTdwfT4UwrgcxcVMbPYym/e6GB73fC6hFwxxcKj57vINit85C0v9+wOjnjEyBgGhzXtEa5+u5N3uqJ8d7qTe2c5GWKtrgHBH5H8cLUXf0Tj65fmkmtPj4Tb5tN4dleQiXlGzpqc/goA7wqyVATMG2+k1ROnsjX1ktCVC7KQEla9057yY/fgmkXZLJ/s5J/rWll3ePhyzwjgM4vt/PSCDHZ2xLj6VTdvNQ+/D9sYUouOqOTO7W5+WeHn8kILD5ztInsYS992BCXfX+3FaBB88cKctFmut9ZE2NsY5fxpFjLSvBx/V5DlpAIDDovC9prUT/JpRVZmlNhYvcfd7+wkA8W8cTZuXprLmwc9PL29My3n6A0WA9xzUQYfW+Rg1b4gd7zppW0EY2/HkFpI4E/VAT6z0830TJWHz3Mx0Tl8U77Bo/G7NR1MyTfxweWZaTvPC7uDCAGXzOojafYQcdqTpRAwd5yRNm+c+hTr11QBVy7MosUTZd3B/iUIHShy7AY+f3ER9Z0R/vB6U1rO0et5rQr/uCqbiyea+fkGL99a4xlbdr9L8XJrhNvWeLCqgv+e62Jp3vBZkN+pCvHkDi+XznRw9mT9DF+DRWdA481DYeaWmijPSZ9Ra3gjeISCMPXO/sGYvi7QHHT3un1KoRGnxcaGg27isd4NIlLH10vV8Us8q1yQ61T5+zoPGB2npu3qy4dMB0IoKAI+d3ERRoPCz16oIxwTCJ20Ycd21nnHxfVfGFIRFNoV/np5JgV2lc+87Oa16khClzEEsszP1H9+xabkOtgViv4kWiLnJz+vdXnyHZ2TdI8bt2YkbZM6/rMA5zbOSdoWCB/W3XeP3Ji07R1Ls+6+O5TkL+1GnZR0O9vgxi2d/HFeBvevcPKNfV6eOi5DltRLSteH765uBhyDkQe3BZicb+ZjK7OocktqjvfwGKCf5fE4vqzE2oN+Fow3csUcK7973Z2W8OPTWrIUAuaNt9DqiVLbnlrLcYYZzp2osLchQkVLenR41y7KZlaJjb+saaHRPTx6wnFOlX9dlUWuTeGjz3cliPJdCw2jGsBqasdprSPDVk2GrQaXrRaXrZYMcyUuUyUuUxVOUy0WtR1VhBnSW2MUoz6kcfPmLjZ3RfnpLNewWco1Cb98w00govH5czIwpUH4i8bhhV0BCjMMLJmQnusaddUdB4JJ+UacVoUNh1Jvob5kqoIAnt+lH10yWMwosnD94mzWHPCw5kB6Mxb1YGKOkb9clYlRFXzwmS72tZ/+zpNCaFgsQaxWP2ZzCJMpjMEQxWiMYjBsGdQx45qBqOYgojmO/g/Fc/BHC4hJe98HGMXwxSUf2+Hm13NcfHe6E5Mi+Fdt+g2K7pDGb9708K1Lsrh9iZO/bEj9mN/TEKGiJcKFM6zsrAsT6KVg31Bw2pKlAOaVmWnzxlMuVU7IEswtVHjtsEZnGuKxHRaVz15USIs3yp/XtKT8+L1hWr6JP99QRBy4/ZlOKk5T/0mLCTKdCi67wOUQOKzbUZTEpIjHFSIRC9GoiWDQTlQpIBa3EI1bicWtaFpCpOmp6qiZ7SASCagFcYyqD5Pix6ge+7MaajAqx3KhRuIO/LFCQjkhfD4n4bCV060wRkSDT+/0cM9sF1+f6sCswP1d6V9h7GyI8OQuP1fPsbOjPsI7Nal3j3t2Z4BPn5/BxTNtPLk9tYLOaUuW43MNuKwqq3enXvK7eIpCV1Cytio9iStuX1lMtt3AVx+rPaUMZzpQmmHgT9cXEopqfPgFDzWe04soTUYoylEozFWxWxPEFItLvH5Je3s+waA9QY5RIycQV186S8NJOstYwdGPx+ssBTGshjbshmZshmbshkayihLjLhYz4PO56OzMwe93croQZ1TCF3Z7+MlMJ1+a7KDT7WNVGjJ0nYz/bvUxp8jER5c72d0YIZBivmz1xtl4JMTySRberAjS7kvdHD5tyXJ6sRlvSKM2xUvJydmCcRmCp/bG05KxaGqRjYvn5PLUtk4Ot6bf8TzDovD76wpRFcHHHm2kRku/824qYBCCKVlZzMnJY4LLiBCCLq/Ggeo4XV6JP5h4yeRbk9dmShUkBgKxQgKxY7XrrW1vYbd7cDi8OBxuMjM7iERMdHbm0tCsEY2OfnNAXMJX93rJNCp8d4GdxoDG+pb0qmZiGvx5vYcfX5nNDQvs/OPN1FcwWHMwyJIJFs6ZauXxrakTpk5LsnRZFYqzDGypDKVcFX/uRAV3SLK1IfUSnyLgY+ePo90X4ZFN6XNw74FJFfzqmgKKMwx89OFGqjqikDm6ybLE7mBObi7Ts7KxGAy4w2GqGjSa2uMER1E59GjURFdXLl1duQih4XJ1kZXVRkFBA/n54PYYaG0z0eU2IuXolTZjEj63y8ODCzL51TIHt7zh5VCaVx6H22O8eiDIe2bYeG2PkZqO1Bo3/WHJpsoQSydaeG1fkK4+irX1F8NLllIio4Mb8QZHztHPM0rjaFJyxGPH4HD0ecyAtyFpm8l3zCWpPMdAeVYGz+zwE/MmUo5JTedNq+k/BIP5xCqNl8zKYHKBjXtfaiQsLIhkSZfsTt3j6lVwlMcVKfn+RZksGmflCy91sqVLAbsVadMxRTr7uB578mWanmsQwBydlFlnyiVkOKGsGDJdCe+n1k5obgO310xW0a04sqG3mpdds6YmPa4s1icpVaeImmrQf1l6q64+4XsHUAVY4h2UNq4nx7mHKRk+opqNlugCWqML0EjESS+unpn0uJn+Vfp9Nh1M2vaOI3lKwEgoeYx2BPjYNi8PL8vgTysc3LTRTctxwQmaRT++W0+GFpHeWx/cFmBZuYWPrMzlW88mqX/dh1uRUJKP5TcPhVgy0cLKqVae2ZEa6XL0rxVOgiokk3IkNZ2CUCy1b+zzplvxhjQ2V6U+27PLonLLshx21gVYX5GGgkMn4YPz7Vw21covN3h4qWLkC5slQ7nDxdxpMG86WC1QUQ0bt8PBSnAPj5NAShFSs2mMnMnuwB1UBK8moBVQYl7HLNvfyDNuRaS4fEqq0BTS+PgWDxlGhT8sdKW9xo8vLHlwi5+ZRWZWTkp95I0npLGtOsyiMjPOFIV5nnZkOT5LYjbAobbUEmVJpsrkfBPrKoJp0VXeujwHi1Hh/rXpt34vLTHxheVOXq4Icn8KdTapRJnDyR1TZ/Ox6XMTJFkDm3ZCQ0sio8zpDwVPfAKHQ1dzIHAjIS2HceY1zLL9g6zMZmD0XeQ+b5wv7vAyw6XynVnpd5FafSjEoZYIty3LxJqGBJxrDgZRBJw1JTVkfNqR5ZRcDU8ImrypvblnT7USjGi8U5l6xdjUAgsXzMzgmR2d1Hem1/m8yKFwzyWZVHbF+PprvUc9jSSKbXY+PGUWH58+jwKrjWdrj7BpFzQ06weCnM7wa8UcCl3HoeC1RKWdkpLDTJm8nYyMVkabA/wbrVF+VxHk6hILN45Lr35bAvev6yTDqnD9wuRZ6weLzoDGzroISydYsJmGzhenFVm6zJICJxxqU0ili0a2XWFmsYm3K0NpKZn7wRW5tPuiPLY5fdnVIWFAuveSLIyK4LMvdBIYRcHeAjivaBx3zZhPkc3Oc7WV/HzXZtY1N/Sl+n3XwBsfz4HgTVRXT0dKhXGlh5g4YRdGwyiyXAG/PxxkTWuEr8+wM82Z3gTCh9uirN7v5/LZDooyUm9CWXMwiMkgWJqCqJ7TiizHZyUmf2VHaqXKBeMTb9C3j6R+0M4stjKt0MpjmzvT7lN5y1w78wpNfH+Nm6qu0eNLaVcN3Dp5BheXlLGzo5V7d2/hreZ6ov8rLHkCBF5fNhWH51FbNwWzOcikSTux2dKTqGUwkMBXdvrwRiXfnWVPeyG0hzZ7iGlwzTx9w+Zg0OqNU9ESYWGZecji1elFlpkarT4IprB0riBBlhUtUTxpKCf63vmZuIMx3tif3slQ6FD59HIXb1WHeO7Q6DHolFnt/HLWQqa5sni6+jAPVx4k1Eeyj/8NCNzuPA4fmUM8rjKhfA/ZWY0j3amj6IpKfrLfz/xMI9dPT2/qM09IY/UBPysn28iypZ6SttaEybarlOUMTXI9bcjSbpLk2KGmK7VdnpBrIMumsi0NoVclWUbOmODghV3utNYWB/jauRkoAr63ZvRIKOfk5HPvzIWYFZW/HNzFhtbRQwajBZGIjcNH5uL1ZVJcXMmC8owRKWnbG55pjLC+LcIXltrJtaaXKp7d5UUR8J6ZvTmIDQ17GyKEo5KFZUPTwfZJtUKIvwFXAC1Sytnd27KBh4FyEu5lN0gp+5G1ViZNa5ZpK9Hds3iOE+iisjSf6LiT/L58+qPLuKkradv8UpVQRGNXVSfxXghNUZNXoFSSpJvrwVXzswnHNF7a7Tk1rZpOmrXjfSV7bTed+NgunGDm/IlW7tngpVao4EquZ9Kcye+VKbOPcrbO5NEW5cfNcEUIrimdyHkFpVR4u/jr4b0siJSSTVav++ZkX6573vYzpidty5qe3GBW6tCvHmruo1yqHloykyefqC/u/Tp7EDevPGXbAc6lJP4m5fkbyLPnUF1VSix2qn+jN5Lc7azVVJe0rcOu/2xj/t7v1fcO+XhqSRZfOdvJFzck8awwJh+vfVGs6D5kSwjeqYlw8UwHj+8JExqih9XxozwmYXdDhNklZp7dFSI6yIVNf14X/wAuPWnb3cBqKeUUYHX397SijCAdGPGI1BVAMhsEc8bZ2FHrJ5ZiyS/TqnLONCev7/emZXnfA4dJ8LUVTva3RfnXrtSHjg0UVtXAZ6bO5byCUl5rruPXB3fijY2VqegbgnrtbKqqSrFYQkyZWonNNvLPszoY5497g1xeZmZlUfrK2wI8vSeAw6xwfopcfY7HttoIZoNg5hCuoU+ylFKuJRGgcDzeCzzQ/fkB4OpB96AfsBgFhYSpJrU3cfY4ByaDwpYjqfdFfM8cJ6oCz+5Ir/vOZ5c4yLMpfGetJy3+oQOBw2Dks9PmUWZ38Y8j+3i89jCaHD0W+dMBHreLiooJaJpg4qQqMjJGXq1y/74Qh91xvr3IhiWNxvFDrTH2NUe5fKY15aqI6vY4Hf44C8frrzb0MFhFRIGUskcB1QQU6P14qBiXY0BAysnyjAlOWj1RatpTq680GwQXz3TyTqU/rUl9Z+cZuGmWlf/sDrIrzQkQ+kKG0cTnp88nz2zlTxW72dwxPKnn3o0IhyxUHJpIMGBlfFkdmZkj6y8b1eA7m/2UOlQ+meY6N8/sCVDgVFk6RP3iyZDA9tooE3INZFgHx8RD1tpKKSU6nrVCiDuFEJuFEJs1OThlQWm2ER8qHaRuGWA3K0zIt7CjJvVS5dIJNpwWlefSLFXeudBOV0jym3fSHz6pB6MQfGTSLDKNZn53aCf7PcNXdO3dinhc5UhlGX6/jdJx9VhHeEm+qTXGk5VhbptqSWuVyM21EZq9cc6fkvps59vrIihCMGOQS/HBkmWzEKIIoPt/UjFCSvlnKeUZUsozFDE4GT4/Q6UJc6KORIowpdCGIgT7G1KfJfrMSXZavTH2NabPhWecS+W8cjOP7A3gH2Hn829OHc8Eh4t/Vu7niG/kl43vFkhNobpqHLGokbKyOlR1ZFcPf9wbxKTCrVPTV45Ck7CuMszcIiOOFBc77/BrtPniTMkbXrJ8Gri9+/PtwFODPE6fcFkVbCaFZlIrlk8tsuEPx6nvTG3CU5tJYd44KxsO+9MayHbLbCtxDf67Z/hqjPeGG4pzubEkj5caq9nR1TaifXk3Ih5Xqa4uxWCIM76sbkRTC1d5NV6vj3LjJDOmNHoSbagKoyqCpeWpJ+WKlhgTcg304XDSK/rjOvQQcC6QK4SoA74N/AR4RAhxB1AN3NC/04mkLjNq0YRetxe5woAf66Quppl7X9a2hvRvqndPzinbphXZOdwaQxtKFInl1GQDSyabMaqC9XUaWiT50knVSS8l+sgkYTMK3jfdyouHQ7SeXPaij9kkjMkp3GjWl1ycphNfLHOcDr41dTzrOjo5UNfBFJLH95Yok5O2hfOTtwGohcnvR6Et+RC2Kn2kFhvCSqXYqpNoIl9ftVMzIXmkirX+1PRtYaChI4fS3M2sKC3ncF3vz6lQJPdjtRj1n63PnFxFpjmOzdl/1ga5oDSDy6aaeKIuoevXFB3mieo/AzV6qsGl0geN3jhnTrKz+rCOzn8QyQQOtWksmygozzVzpG1gknp/rOE3SymLpJRGKWWplPKvUsp2KeUFUsopUsoLpZRpC3rOt0YJxQXBwRuxTkGhS8FpUTiUBqPImeVmmr1xKgb4IAaCa6ZbcJiUEXUVyjEa+dn06TSHI3zjwMFRlg7i3YcuXzkd3glMKDKSlzlysSQb22Mc9MT4QJoqKPZgfXWU2UUmXCnWj1a2x4lpksn5A/exHfURPPnWGK1BQ0r1lZPzE2+7itbUWqodZsHcYhMbqtKXGEER8P7ZNrY1RdjTOjI6LIMQ/HT6NBwGlS/t2493LHxxWNDYMR+3X2PWBBPWNBpZ+sK/qkLMyjCwKDt9ucPX10RRFcGSstSSciQONR1xpuQPXG85qsnSomq4TBrNwdQ+lCn5Bprccbyh1MpDS8abMSiC9Wkky7MnWhmfYeCfO0dOqvxk2XjmZ7j43qEKKgIj7zj9vwIpVXZVRNAkzJtsQm/1m048XRemK6JxWxp0ij2o7tKod8c4c0Lq08RVtMYpylBxDPCFM6rJMs+akJxagqlzGTIoUJZtSLlUCbB0vIlGT5wjaazHfcNcJ42+OKvTkHezP5hss3FrSTGPNTbxSlv66wiN4USEIpLdRyLYrYLJpemNqEnaBw0erQlzUZGJ3DRKuBsqQ8wqNOFIQS7K43GoNbESmpQ3MCFsVJNlpilxUV3h1IUN5DtVDKqgtiO1S0cBTC8wsqsxfeVErQbB0vEWXqwIkea8HElxW2kJwbjG76qqR6YDY6DDo9HQFqckT0WnHFNa8VxDGFUIVual0JhwEnY1RlAVMaglsx6avRrRuKQoY2C8MqrJMsMUxxdViKWwOl5h9w1qSnEFu9JMFbtJ4UBL+iJ2lpZZMBkEb6YhQ1J/UGg2c3FeLk80N4/pKUcY1U0xVEVQOghDRSqwzxOnJaRxdoqJ7HhUtEWJa5JpKT6HJqHZE3/3kaU7ktpg1EKXSjgm6fCnNpB6WrejazrJcuUEK/6IxtamkUlMcUtxEUjJQ/XJq2WOYXgQCElaO+OMyzeMWEq3tS0RVuQZUdN0/nAMqjpiR+dWKtHkiVOok52rNwzva0kIhJrkwoMnO1dLMoxxWrwggkEOri1OeljZh6e/0Xys1GZRlpFmn0Sau2NcA32E5ulp0Y/LpjM1z447GKep85jUp1p0Mj+bk8fYapbelzYrJ9pYXxshYhj8O07qJE4WIvnaPsOo8r7CAtZ0tCDwUXhSF4NCfyg5jOVJ29xT83T3HZefXAfsNNiStvXlR6kMQVbQdAqO5Zj1jRKdE5KvDLwtycvkAuS55x397G4PkJdVx5SCMjo6MimL7NXpk77vZ5c5+X3UzL0/27WdEa4bb2F+joEtyVzldNK3QfKxDqD4vRxsDnPuFBtKPDowt0qDPsE2eeGMMgWnzYg33L8Dj1rJ0maUGFRwh1PbxUKnoNGTeoXftHwjB1vSp6+cnG2gyKmytnpksqDfOi4Hi6ryeGPtiJx/DKfC77cSCJjJz+9kJAqfre+IEtUkZ6cxddvB5jBWk8K4rNSeo0cNV+jqP7+MWrLMMCcevieUOhk/0wJWo6DJm9oluMMsKMk0cqA5fcvjs7uzsLxZPfz6SrMi+OD4XDZ3tVMdHJ2ldf83IWhtzcZsjuJyDf9z8cUk27pinF2YPrI80C2ATCtIrSGpyZPggKJ3BVlaEmSZSsmy0Jk4VpM3tW/hyd0WwUOt6ZMsV5aZ2dcaPTW8cRjwvuIscs1GVo1JlaMOXV0OIhEDeXkjk+lpTVuEGVkG8geZ9qwvtHjjdAbiKSfLUCxRKvddIVnajZKYxpDTyx+PbFvigbb5U0uWpZkJnU51R3okSwHMyTexuSF9ZKyHSwoyqPCF2OXtGpHzj0EPgvb2DByOIBZDesvW9oZNnYkxPzsrfeaPqvYopZmpl15bfRo59ncBWZoNklBMkMr64A4zxDRJMMWclmNXCUY1fP1UFA8UBQ4Fq1FwpHP4wxsVYGGmnY0dI5szcwzJ4fcnjIXFjtQX++oLVYGE7q88jfXFW30xch2pP74vLAcUxTNqydJikIRTzA1Os8CXBpVfrl2lw58+v8Oy7uLz1V3DT5bTnBacBpUtXWO6ytGKQMCCpkHJCJClJybpCGmUO9JHJe3+OBlWFWOK+dIbltjNot/i2DC7DgFqklNGTmQxs6IRih7bbmjqSn7cPhykNW8iKZJdzcYbEEe/AxjM+gNMmHVScXUj267S3pvfZrJrBVD7n6KtvFuvUt0RQcS1odk9dca07MX5f1Fm4v5s6gxgtyQfVg6p7y4jhjDUVB0XID33IEMfyaYVnQqbfWPwM9dqTO7REDDrH1eI3u9zMGilxOHElOQ+99Vbkyn5i7gv5U+VL05ZEslSGvugIj0GNCautS2YOEZOhvVE42xUR/Lpw89IRsN4AwKDYsIsIgQjfc+q0StZGiGc4uWyw6LgC6feQJJjV2lLp2SZZSQY1WjxDb9xZ3GWncZQhLpU6y7GkFIEAnby7dYh5egcLKq9GuVpWCb3oEcQybGn9hy+7qqr/c3IPmrJ0mxIrXEHwGlR8Ka4LK0iIMumpHUZXp5poKYrPiI5Ixdn2djcOZZZaLTD77dhUBTy7ektKNYbqnxxCmwKOnmYh4S2HrK0pZauerjA2U+95agkS1VIjCqEY6l7SwoSRcp8odSSWqZVQVUEbb70keX4TJWqEdBXlliMFFlMbOoc01eOdgQCiQicIkffaqNUo8qbGPvj0yRddnQbkXJTLVl2rzIdltNYsjR1v6FSaeCxmRQUIfCneBmeZUs8wM5g+siy1GWgzj38ZDk7IyGlbO8akyxHO2IxI55wmDzb8EuWtd3qodIBuOEMBJF4gtgyUyxZ+ru9V07rZXiP2kWmcN3ZE+LdR3mbAaOn8FEsjUl4jKogPAI52SzdN82bzosbQ8oQiWuoI5ARONxtTDGkUV8a10h5wo54N8H0NxHJ6CTL7v+nQ12XdKvTe44/iNpMQ0bPIBp+s9IYBgMpR2ZC94zNdGY/0khpZZkEeubU6UyW6cBRAk6luAqI7ieopfi4PThKWCNAlj0uO/E0XdsYUguJPDoeh/W8w0CWSJlywWSAXDm8fpZSi6MFei9nq5iO6Vp6MoVJKY8+CelNHvsaDXt0z6sqJqRUu4+pIbVj+j/FlavfaR1/SOnthFh3/6IRZOTENHPCNHT9kTjG8sc2xnTIq6+oMB0xMR4/adh0+11GY4J4XOCNJ78XcUVf/oxrOmWB+/Ak8EWTH1szJ78XyhCWpJrUv56h+GjqHVnoXCuApnMfo1IjLjTc4lQ/zmgfCbQ1Lfn1yEAf19qt21KiEhE8sf+ij2WJiOo8++NSIGoShNRO2CZ1/CyF2sd9jATQutf1Mh7VLVvdg9EpWabhDZWupX26VQZiBJfCPdSYLql5DKmFRNL/eJTUoWdspl0lleITDFSyHJ1k2YNUztE0sVqvkl8K0fOARnQZPvynHsMgIGUa9Hr9QM/YTOe5pST1L4KeOftu0FmeBlyZdsmyJyJjJIQ7Jc362DGkFhpyRCJ4eoZHuspLJM4hxyTL3tDj3jOE6gmnINrtemMypPaOB7v1h9Y+0ucPFqGYJBKXZPTTcTaVaOuONy2xpq+C3xhShwyTGX90+MNSM7sjYLz9iK8eLKwmhVA0tcc3dRNMtJ9ueaOSLHuc0ZOU/hgUAhENTUrs/XRA7S86/YnOZtnTYyuTQL0nRukAK9GlAtvdCYPV/Mzhd3Qew8BgMMTINJtp8A9/Kr3S7iQaNd70KGxMasJxvDOQ2uP3cEF/A1VGJVlqMuHkbUoh/0gJgbCGo4+sLgOFOxhHk5KsFIdiHY86d5xxruEveVofjNISijI/I3kxqzGMDthsCctwg3/4Q1PHdYc51qUp0UtmT5RcismyJ3KnvyHQwzoDtXgUn7/3Mqou06QTvodjJ0mWOq4aWlw/iZTRkgmAPyKxW40opmOTX9r1iUCEkrsnaJEAGuAOxMiycIr7gWodZH7Bk1LO1XVFmVtoP7pdaDqPTc+tCBA61R1j4VP9jrZ1hpiXYSMWNhKIJz/vfpO++9a06I6kbUWV+qV1O8pKk7Zlmk+uCnoMuX0ouUxKcj+rvlyDIlry5W5DH3WK2huT30dXTY3uvp3Rg71uzzQLNCnYGmgn3IvvRHtYf5xHwzpjqg+RqtSp0BnS8Pe2TO4jZE70w3J5LKT4JLckvflltugeUzVbceYkxkfQlIWaeVyj93Cv+/QpWQoh/iaEaBFC7D5u23eEEPVCiO3df5f1dZyB4hSyTAH8YdnvONCBoNMfIztNy3CAOneMDIuCawBZnVOF7R0hJjtNOFOpQB5DyuG0CxqDfsLa8DuZjXOq1KYxkUx2d0x4qjN72btzbfr7Wa2lPzPgH8ClvWz/pZRyfvff8/3sX7+RHrLUUq6zBOjwR8myp6/CXW13Eo3SjOFfim/tDKIIwbws/Tf1GEYWTjtUB7wjcu5Sh0pdiiumHo+ePJYdKV+GJ/4HUkWWUsq1QEdfv0s1IvE0kGUkkUY+1ej0xchypFeyhJEhyx2diWiQBWNkOWphMYHJKKjyDz9ZKkCxQ6E2TcYdSCzDwzGZ8hpXdhMEopL+5qgZipj1KSHEzu5lelayHwkh7hRCbBZCbJYD8EYMRRPZ0lMJX0jDZlJSXsujzRcl02ZIuVtSD2rdMTQpmZI7/C487qjGAU+YCwqHv77LGPqH7IzEuKv06euN04Fyh4JREVSnkSzznSrtaUiu7RpgTa7BkuUfgEnAfKARuDfZD6WUf5ZSniGlPGMgHvjecEKyTKVFvKX7geanuBJdZWtiqTohLz0uNsGoZHdThOXjR0a6e7Cqi6W5Nqb3YQwbw8igpEDg9Uvq+jAspQNn5SUkmnea0uffOTnPyJG21JeBzncIWnz9F+AGRZZSymYpZVxKqQF/AZYM5jh68HQbOTNSyA9NnsRyNj/FbjgVzYnOTilInz/iuuoQcwpNI2LkeajKjS8a5/0lRcN+7jHoI8sFdqugrnlkoqzOyjNS5Y5Tny63IatCnsNARWtqydioQraNAZHloFhDCFEkpWzs/noNsFvv9z2QSOIyScZvw4lLTE9MAlGcNpXWkAqR5C4iwaj+8sMYSSwh2zohEsugwCGPuvmo/j6yjehkn1GMCSZ3R6DdF2VqsRNlTz/f7joVKUX01Hu04bCPTyzLYFmxiZdrkmdNl33kyRLB5O1aqPfh4AYeOuLl9ik5fH9fM22RU89fa05esRBgr6hI2lZc/6buvuZtVyZtO0Jy9YCvQN9BO0dHz2NS9FcfR9zJr9fTqj+t7Jt0TACNa3T3rZdVJ3yfnF9IMGpme3s1QTF4wozHkl+vYu99rBoFLM018sSRMNLau9zVV9YhqeNlIQxGphQmeOFQuwaGE5+XnttfvA8de4EljiICNJjsxEpPGge1ve/TH9ehh4ANwDQhRJ0Q4g7gZ0KIXUKIncB5wOf7Os5A4QsnnNNdltS9MaWEFk+MwozUW64PNYeZXKBfDnYo2NUYxhvWOHPCyETT3H/AjUEIbh3XR0q7MQwbHGYDJZk2Klo8I5JoZX6GEZsqeKs5jUvwXANxTVLZkdqyKoWWBIs3hfuvkutTspRS3tzL5r/2+wyDhETgDYNLJ1/hYNDkjjK1MPW6v4PNIZZNcqSlgiRATIO3q4OcWW6FNcNv9azyRVnd6uGWcTn8vrKZyEjMzjGcgKkFGUgJh1qG37ADcFa2iagmeaclfWQ5Jc9IdWeMSIrtO4XmOBEN2iP9V2uNak9jT0jgSjGvNXdFcFlVbKbUXvqh5sSybEpB+oww66sCFGcYKc8cfhcigL9Xt5JrMnJVYVLnhzEMEwyKYFKuk+oOH0G9BLppxFnZRnZ4ovjTVEtPAJNyDRxqTf0JCi0aLWGFgeRfH91kGRa4zBKRwgRoze7EW7AwM7VL8SOtIeKaZGo6ybIyobddWZ6+5b4eNnb62OcN8pHyPNLkJTWGfmJyvguTQeVAc++VB9KNHKNgptPAuo70SZUlGSp2k0JFW6rPISm0aDSFBkZ/o5osOwMCVYFMa+rIsrYjgqZJJuallnBCUcmh5hBnTEifP2K9O8buxhDXzhr+2tA9uK+iiakOK3eWF4xYH/7XkWk1Ma80m4auAO3+ATgKphDvK7agCMHLLek7/xnjEsadXY2pJcs8k4bTIKkNDsyFcFSTZas/0b08e+rIMhSV1HVGmJQGveWGwz4m5JrTYkDqwUNbPUzOMbK4dGRyTL7S6uaZxk4+M6mAeWPZiIYdBkWwcnIB0ZjGhiMtI9IHBbipxMqGjghHUhyCeDyWlpmpaIvS5k+tDWCyI9HnQ76BqbNGNVn6Iom4zTxHao0JFU0hxmWbMBtTu5Z8+0jCVWXZxPRJly/u99MZjHPL3JGLqPnmvjqaw1F+N7ecrFSHQ41BB5KlE/JwWIy8dbiZ0AjVcz8310SxReWh+uTufENFnjVh3NlYlXrJdYo9TntE0BEdGP0Nq6VAESpWo2sAewha/YJ8u0Y01JX0V8G4/kOzayd6/x9s9HH+rAzKc1UqvIMX8UVW/gnf24BD7TGWTcvkqSojhHV8D3X8LPXaIsDjO7x8cEkGhcYYzSeFmQm1jwGg0xz36w+HoCUhjQeBj2xo4Olzyrhn5gRuXVeHu4+oqGpjcv/T/eEXdfedsju5L6yleUXSto7yCbrHbc5O/hKWZn0iUjuSv2gzK3pP8dWDSONLSdsOxN5O2jYxz0F5TjZv1Nfyjr/hlGcZ1Cn/MRTnBdl54rO9ZZaNxkCc1YfiSKmi6ugtRUg/8kYEe58jy4sTLnIb9rcjA70bePREHSVJ6J+CZKI9xs52FWWAlqlRLVlCYinuMIPNlDopsLo9RCSmMaUw9cvIt2uiTMkxkGtLnwXkke0JV5Eb5g3kxZNa7OwK840dzZxX4OBz03NGrB//K8i0GVlQlsVhdxfrGvXzf6YT5Q6FswqMPFwZ7ncCisFgaZmZqrbw0ai7VKHEoWFRocI98BXR6CdLX4J08lOoB4xrcKQlyJTC1Dt4b6xNPNxl49Knt2zwxFhzOMC181wpTwoyEPy7ys0j1W6+OCOXJRmZI9eRdzkMimD55FzCsThPV+pLrenGzRMtRDTJo5XpM+xkWhWm5RvYeCT1se5TXBqahMPegVPfqCfLjqAgpkFBiuO5DzUFyXeZyLCkVgJs8mlUdsZZmkayhIShJ8eucsm0kc0GdPf2JvZ7wnxzynQKTCPj0vRux+IJ2djNBjZWtBOIpcmpsR+wqXBNmYmX6yK0pzhd2vFYOt6EIgQbD6e+ntAkl0ZDQBCMDXzej3qy1KSgzS8ozkot+RxoTOjBphekXjTbUB1lRr6B4jQWGdtYHaSiLcKdyzNTWgVzoAjGJR/ZWI8qBL+eNYdC8xhhphKLyrMYl2NnV20XbQPJJ5YGfHSaFZdJ4YEK/TwAQ8V5UyzUdsao7Uyty5DdIBnv1Dg0iCU4nAZkCVDnVsh2GHCksBxsiydKQ2eY+SWpJ7RXD0eIxCWXz0yva819azqYkGPiloUZaT1PX6j0R/nC3l04DQZ+O2suJZaxRMFDhQAWlWczKd/JvgY3B5pGJgt6DyY4FO6YZuHJ6jC7OtNnhZ+eb2ByrpEX9qfe0j43J44qYEf7u5gsa7sS3SxLcfLbrVVexmWp5NpTuxT3hCVrK6OcO9mKI40p1dYcDrDmsJ+7VmRRkOIcnQPFfr+Pz+zZhVlR+e2suUywjvlgDhYGRXDW1Dwm5TvYW+9mV93IROkcj2/MtxOKSX6+q48sXUPE5TNteMMaaw6nXnpdkBOj3i9oCQ6O9oY5yFggklTNkzop2LwR6PBpjM8xsLPq1JuYY9XPs6hOmdPr9p2K5DIZZO50F6809U7EalPydFrSmPz2PXs4xoWTTVw8xcLjO3rRvcSGkMxUPUaMP36xmSfuLOcr52XzhccbUEL6pKkpyZfJoo+XeTyY/HpbglZaghrv33qAv8+fyh9mz+cr+yp5pbULgF0i+SSLGCp1z3sk3pS0bWLD2qRt45tm6R43wzguaZtQ9F/MUkv+/Foj23X33cu+pG2d1jAfnTyLPIuFR6oPsa618QSRplUml+qqo8lVVT6/vjEz3pl83ytcCQv499/00FUX4eQRpvh0CFTPRe6k9nyHypLxJp7a5SccjiP7mCPSl3xuKtETVRa5dkGpw87ze8IoLV5dvkl6zAHvMUKoag1SmGnCbExdl71RQYVXZX5WLKXx5wC1Hsn2uhCXzrSnVadY747y53XtXDTdycpJIxcG2YMKf4hrN+3jkD/Ib+dM5jMTigeQquB/GyVOB1+YsQCn0cTvD+5MEOUIw67Cl890srslyiN70+eEDvCeWTYk8OLe1Euv80uNaFKys2HwBrLThyxbQihCMD43tQaEbZ0Gss2SMnvq06o9s8tPtl3lzInpzUH5j40dHGkL87WL87GMggwXLZEot249wGMNrdw1oZjfz52MXR2L9NHD7Lwc3jttIp5ohHv3baPCO/JLb4BPTbWRZ1P4wVvpzZlpNQoumGplQ2WIjkBq56IA5pUYqGiND6no2WlDlm3eKL5QnPIU17nZ41YJx2FBVupdMnbUh6ntjHLl7PS698Q0+MFLzZRmmfjo0pE19vQgKiVf31/Ndw9UszLbxe9mL2CcZWQSF49mKALOKSvh3PJSqt0efrlvO+16kV/DiKlOldsmWHh0b5BdLel1WTp/qhWbSeHZ3an3rSzLVsiyKeyoH9o1nDZkCVDdGqQ0x4xBTZ30FNUEe9wG5mTFMCmpf3U+u9vPhFwj80rS61KzqTrI07vcfGixixn5I5Nkozc8WN/Kh7YfxGkw8PvZC7gyv2hsWd6NbKuF902fzJz8XLY0tvD8oSrC2sjEe58Mo4AfzLXjiUp+9U7q/R2Ph0mFK2bb2dcU4XBb6kl5QamRcEyyt+l/iCwrmoIYVYWJ+amVUN5uM2BV4Yzs1D+otRUBWrwxbl3ioo/yOEPGz19tpT0Q5xdX5eFKoZvVULGpy8cndm1jv9/L5ydO4dez5jHXOTok4JGA02TkwgnjuHnWVDItZl48XM2GusYUa82Hhv+bYWNelpHv7PbjTqMDOsBVc+zkOVT+uzX1pOwwC+aVGNheF2OoOZJHz4zqB5rdETr9UaaXpNYtpSagUulTWJEfRUnxkI3G4d+bPEzIMXLhtPS603QF43zh6VYKHCo/fk/OqJLgWiJh/m/fLn56+AAFZgv3zZrHz2fMYabDOdJdGzYYDTBlvMqtc6YzOTuTbU2t/Hvnfio6uka6ayfg0iITt0+08sCRIC81pr4E7fHItStcM8/B+iNB9qThXMsnGFEUWHdk6Mc+rcgSYH99gMJMM5n21Ho9vdliJMskmZOZ+mXQ+iMhdjeEufkMV1r9LgF2NUX46esdnD3RNmr0l8fjpdZmbt22id9XHWaizc5vZy/gk5NnM942smGb6YSqwoRileVzjZTkK+xv6+RfO/ezvq6RUF+uNcOMCXaFH861s60zys/3pdenEuADSxIvy39uSr3TvcUAS8uM7G6I0REYuhA0rH6WEo1IrPcHYIjoPxiDISGVVbZKlkyWzCzN4J3DCVcGw7ipuvu6VnYlbfP5EsetQNIq4dyyMHvGxehJACU7k0ejiGD/XSn+tsHNz6/J46ZFLu5f70bGdUK5kviiHm2O6exrMPLwVjfzi0zcdVYGuxqCbKg61k+hsxYREf0BJcPJ+9XZmKm7bzTvxKF2j9vL7w/v5/bxudxZnsdXZy7ijfY2/lJbw+HAiWOhwZB8bDQqVUnb/FJ/TBWF65K2mYS+qqeO6qRtVaIdAIuqsiA3n2WFxdiMKns62nmjvpZ1oc6k+7bH9Z+9O57cH7LZm1xKj7Tor2rUpjgZZsEfV2YQicEXX3Sj+TVUQJr1PRlkNLk+XupkepmZIzhroon/7ovSYnbBSYdR+tJbRZKHf8pomCUTrFiMgrUH/MiTxn00PPAibyNT+WoICEUl1W1RphSa2FIZJJ4iLwOJYK1UuFbRmIrkYIoXsTWdMV7a5+eSGXZe3e+nMs0udN97uY1p+WbuuSqfW//dQGUaa6UMFoG4xh8qW3ixo5qbi0u4qaiYc3Ny2dTVxTMtzazpaCespd6lK90Y73CyMC+fGVk5GBWFw+4uXquvpTGQektvqmBU4FcXZlDsUPnQ8100pTg7+clQBHxkjoGWgOTJQ6mXro0qnDnZwoGmCI3u1Bz/tCNLgAMNYSbmmyjPM3G4OXV6jp1ScL6EcxSNg5pAP73owPHwFi9nTbRyx5kZfGNVev3oglHJp1Y18eAHivn9dYW8/9/1KfdfSxX88Tj319bwSGMD1xYWcUV+Ad+bOg1vLMYrba2sb2/gkH9kY6P7gtmgMCnHxeS8DDKtJkKxGNvbWtja2kJzMP3L2aHi22c5WVJk4suvu9k2yDrgdpuVL951K3NnTWHOzMk4HXbed8dX2LB51ym/e/Dnn2PujMlgz2Lnt2Icqa7nrw8+xarnXu/zPI8+8lvOXL7w1Gv45j3c/+eHAFhUZsFhVlhzMHWO9KclWTZ2xXAH4kwvNqeULDUEb0mFKxWNciRVKSZLf0Ty4GYvn1iZydlTnaw9mF4CaPDE+NSqZv5+cxG/vqaQjz7SyGietp5YjL/X1fKPuloWuDK4Ir+Ay/LyeV9hETUBP2+0N7O5q53aoJ/RQPsOs4E8u5XSTDvjs+yoikKLL8hTlYfZ29lO9DSRij82ycr7pln5/VY/zx4efGajrEwXN77vEnbvrWDt+m1cfnHvWeyz7QbGOSQbn3+M361twGQ08t5Lz+a3P/4yOVkZ/PnfT/Z5rr17D/GVL/3ghG21NYnlmiJgxRQLVW1RqttT5+FyWpIlwP6GMEsn28hzqSTXAA0cW6XgHAmXKBp/1lIdBAmvHQhwwTQbH16Zx56GIO2+9Dr77m4Kc/ezLdz73gL+cF0hn3yuE38fusmRhgS2etxs9bi5t1LlmvxsLswt5LZxE7lt3ESC8TgVfi+H/B66Aj5q/F46dfRXqYAiwGkXZDgEGQ6F5Y4JWLtzA4RjcQ62ujnU6qErGDmqszwdcMdEC5+fZuPZihC/3To0NUFdQzOzll8HwMrlC5KS5c3lQQ499gu+8kaUGk/ihfLaW5uYWFbCTddc3C+y9PkCbN2yu9e2ZRNMZNlUntyWWrXHaUuWBxrDzCuzMK/MwhtdqTtuDMHLUuE6RWO+kGxN3aGBBBH8+o1Ofn5NHp+5oIDvPl2f1jAygNWHAnz5mRZ+ckU+f7k6l48/1YYnzb5zqYI/HueV1kZeaW0k12RmljOTqQ4nU+0uriwoxagkDCLuSJi6gI+OSBh3JIw7GiE3YiUQjRGIxIj0Q7ltNgqsZgWLScFuVrCYRPcf2K3iqMEhEJI0uAO0+kK0+IK4g5FR5SN5MqwmCy//4fd4AwGu+PJXiHVb4H922VJu//hXeefZB/jaXx8blr5cMF5hWbHKA7tj1HhPvGudXR7MpqEFVNhNgvOmmTnQFKGiJbV6+tOWLGNx2FMbZtFEK9mBKB2R1CUH3ikFSyRcJDT2qBCOpzibuifOX9e28KkLCnnvgiye2JpK2bh3vHzATzTezL3vLeD+a3L56JPtuEOnxzKxB22RMGvam1nT3gyAQQjOtDsZb3dSZndRarNT7nBhN5w6FmKaRkyTRxUrQoDS7TknREJyFOLE5xyLSUIRSSgCHR4Nt0/D7ZNEY1BHc1qvNZUIRkJ87Of38MI9P+fuW9/PDx74J1+eX8htt3+K2v1bufovT6BT64wvffRmvvTRW1j83juobRx8+d0iu+DDcwzsbNV4+nCCsFVVweWwc/mFKzj3zEV88Tv39etYs2dPZd+hNVitFg4dquSvf3mI/z74FBdON2NS4fldqTemDStZqkYrzqLe06VpHv2li9LLanV/Y4w54yVzMnysrU3uGtH5TnbSNpGk6tIztjh3TQ1xznjJyxVJSCXQR8SBjgvQG5UGFhwJctPSHHa3SCpaj3sLDiXphI5b0ev73XxaKNx3ZS5/f18OH13VQvtxRh8R7cN1KJD8eqSm7/Lib0vuR1kT0A8FbbElX2IfCoahrQM4lq7LrAhyTSYm2SHXaCLXZCbHZMKsKEgJGhIJGJGJzxJiUqMtEqYtEqY1EqYjEiKg4wNZH0kuAcWk/r3QZPKx6gnouywFmpNnlhLm5C+/3dHD/OBfD/Cd2z9Ebsd+rrv0vQRjcS79yS+JGyRCJ5uXDEaIxeLgCaK4TzWYiF6kdhFNTFjFH0BxezEo8LmzMojFJb9d04UIaHzotvfxw+99HoBIJMq3v3kvqx547Jjzd7x3FdXb6zfzxKPPcriikowMJ9fdcBX3/vJbTBqXg3nvo6w/HKLVo2/LMJh0/HqT8KyQeq8UQAgxDvgnUEBiFflnKeWvhBDZwMNAOVAF3CCl1BWRTGanzCua32tbX2SZLLfd/DIT88vMPFNhpyvcO8nECpJXQUxGlgDXjgszPyvKbzZI2nszqvn78NXS85dUDdhNgnuuySOmwf892Uqoh6zSmKFHWq0sHWfmN+/No8kb5+NPtNDgSZCClqnvi6c5dSaURX8cKbbkE1m16S+XLDpk6bAkb8sy6esxnYpOn3T3HCpZJl+ppIssZVTBKGDjj79H6cTZoKhc/91vsnbXzsS+OgUj1U59i3JvZLnyzIX895/3cN1Nn2bDxu188Aw7V8y08vM3PLxdk5jL2dmZlOZnkZ2dycUXn82tH7iGr331p/z7X08kDpKELI9e03Fx9H994JdceOEK/vap9/LTZxsJhge/BG/q3LdFSnnGydv7E8ETA74opZwJLAPuEkLMBO4GVksppwCru78PO/bVR4jGYXZu6hX8LzUaiWtw6dT0RN34I5Jfv9FFvlPl4yuGL9rm7dowH3+ilVybykM3FTK7YPQk3hhDeuAwCP60wEVW9dsIg5HdVZVHiTLdWDrexBUzrTy/L3iUKAE6OrrYuWMfb7y+ga999aeseuwFvvmtz2IwDFxY2PLGKxjNZg7Hio8JHSlGn2QppWyUUm7t/uwF9gElwHuBB7p/9gBwdVp62AfCMTjQaaIsI4bTlFrnVl9M4fVKyYw8weTkK/khYV9zhP9u8bJiko33zBy+5L1b68Pc+nATgZjkHzfkc+HksfRp71YUmRUeXJzB0pJctGU3s+NwBbPKJ/DRy69M+7mzrQp3nengYGuUf27R1yPu2LEXh8NOXt7A6tAbVZg/LqHK2deQvlj2AcWGCyHKgQXA20CBlLInDqWJxDJ9RLCvzYQmYV5e6qXLDTXQFpBcMU2QwiTtJ+DJHT4214S4fZkr7ancjseRjhjvf6iJ/S1R7rsyj88vsjEKcgePIYVYnmXkkUXZFJkVahd/EG84wnXf+QZ/fvZpvvmBDzKzrDyt5795gY24hF+s9RLrw564fPlCfD4/bW3Jy0X0hvOm2Zh79sWEgkH27js0hN7qo9/TXwjhAFYBn5NSnqCskwnFZ6+yrxDiTiHEZiHEZk0vHnoICMUV9rabmJAZI8+aWr/FuISn9kly7YKLJqeHSSTw69c7qeuM8aULs5iUM3x2t46gxh2PtfDITi8fnWvjgcsyKLafdvlVxnASFODT5Xbun5tJV1TjqdxzmTdjLp+87xe4/X6+/+8HOFhXyx8//39Y+nDX+fxdt1Kz5yVKivP7PO95Zy/h8kvPZvmShCF3wqy5vK0sYM7ixUd/c+stV/GLn3+Va957EcuWL+Q9l53H7//wQ6648kJ+dd/fiEaPzeG33n6Khx/749HvS5Yu4J//+TU33XI1K1Yu5fabLua7v7qH8fPP4t6f/ZFgIH2lL/o1K4UQRhJE+R8p5ePdm5uFEEVSykYhRBHQq0+BlPLPwJ8hYeBJQZ97xZ42M5Mzo5xRFOKFI3ZSGapY2QnrayRnjhccbJNUDOzF1y8EopIfvtTOD6/M5WsXZfH15zto8gxPRppwXPK91Z1s7JB870wHq96byTfe8rG6Jr3pucaQHhSaFX4y3cXSLBOrGoM8Gc3n8c/eyq8ef4wNexOO3NFYjI/94ue8es99fO+Dd/CV7/wh6fEUoWAwqKe4VvWGH3/vc4wrLTz6vfyCm/nmBVBb18iyFTcAsH//ES6+aAXf/PpdZGY46ejoouJQFbfd+jlWr153wvEMqgHlOINnS0sbQlH40lc+QXZ2JkLGaK05wmc+/hUee+yFAd2ngaI/1nBBQifZIaX83HHbfw60Syl/IoS4G8iWUn5Z71jpsIYDqDklAEzIiLCiNMS6OgtH3MfeloO1hgOobYmQRIMCn1gisBnhtxsl/ihDtob3hiKXyg+uyiMU1fj6c510BVPrCymtyXWTWqaNcU6Fe85xMifPyCMHQty72Y+3O+JnzBp+DKPRGq6YNW4otvCliQ4UIfjeQS9PNSdKVMhoH5msUmgN/8gZFi6dauZvW4I8v6cPf0e9Ehp9WMNvWGRlVrGJP6/1UNd54m+lNvgVZjJreH/IcgXwJrALjobkfo2E3vIRYDxQTcJ1SFfmMhntMi97eq9t8ZB+nLRIQi4AirXHkiy5dGoEu0ny9F4zUa17UOotM/qodyLDxx52gUvlE+dlcbglwr82ePpMpaYHoSSfjpMLrXz78jyaPDG+/UwrgVRa9yzJ3YM0Z6LNqMBnlji4fZ6d9qDGD970sLoyjOZI7vgvbfpSh9RZwwiL/gtBsSWXsI06RGow6B/XYEg+oVQdIgWI6/iVxuN9pDTTIcugR58steben8F4u8IPzrCzJM/I+pYo39zip/74xCl9LFIMTTqE2EeM+/Fk+b5ZZm6ZZ+HJvWH+vT2k6/cL6M4/GU3+bOePM3H9GU5e3u3jjQOpdUAftOuQlPItKaWQUs6VUs7v/nteStkupbxASjlFSnlhX0R5MuzGGBmWVC/zBO/UGrEaYG5R6mOumz1xXtzlY3qRmWUTk+e5HCoqWqPc82o747KMfPniHHRSAqYFUQ3u3ejjplXttAc0fn1pFvddkkmedcz6M9qgAB+eauHpizOYnqHy9S0+Pvym90SiHCZcMMnILfMsrKmM8J/t6Su6lmVTuHKencrWCGtSTJR6GDFN/rjMAOWZgZTX6+4IKhxqV5meFyezD4llMNh4JMSBpjCXznFQ4Eofi+2oC/O7NZ3MLrbw2fOy016/pzfsbYtx0+Pt/GKDl5XjzTx7VSbXTzaPqnIV/8uY4lL57/kuvjzXxrrmKFe84mZV1cjomc8uN/KxJVa2NUT5w9vBtMXKKwJuWOxASnhkk3tYY/JHjCwbPFZMBo08e+rdfbY1GIjGYXFplCRG+iFh1RYvoajkxsWOtEp9b1YE+PuGLpZNsPHZ87IxjMDTimnw1+1+rnmkjX0dcb633MEDF7uYljVWB3ykkGkSfGG2lVUXuiixKXx+o4+71vtoCY1MOo+V5UbuWmZlT3Ocn78Z6NNFaCg4f7qV8dlGntrux51ifX5fGDGy9IQNeEIGSlxBVJHai47EBVsbDBQ6JdNyU29R9oclj272kOdUuW6RI62S1nO7fTywsYuzJtn42qW5WI0jI9fVuON88BUP39jgY0qmypNXZPKrsx3MzB4jzeFCljFBkqvfk8lHpll4oTbC5S+7eaFu5LwWrpxm5LNn2tjbEmdteCr3/OyrrHvt31TsfoF1r/2bH//gi+TkZJ6y393/dycP/vNedu95hfrGTdxwwxV9nmtmsYnzptvYUh1iV33imseXlXKkbguNHXspnzA+1Zd3AkbQoU5Q02VDVSQlGan3japoV6lzKywsieFKcWQPwOGWKC/uDjC7xMz509Mb/fLMLh+/eaODmUVmvn9lHlm2kXtsqyrCXPJkF7/bEWBZkZFVl2fyx/OczM8+bRNYjXpkGwVfLHfwyuJcPjLNwhuNEa56xcNXNvnpGqHcpAK4fb6ZD863sKEmyo/e8HPTTVeRleniV7/7N7d++Cv89o8PctGFZ/HME3/CZjtxjnzo9muxWMy8+upb/TpfoUvl+kUOajqiPL39mJ7yJ/d8E48nvXXNezCiIzwYM9DiN5NvD9NsMhCIpFJqEmysMXLFjDArSoO8cMSOTLEMuK4iRIFL5fwZNlq88aNvu3RgzaEAXYE4X7owhx9dlc8PX2yjriu9iYOTwROR/HZnkH/sC3HLNAu3z7Dw31IXG1qi/HF/kLdbR6Zf7zbkGhU+XGrjxiIbJgWebw3xh21hjnhHNrWeQYFPLbGwsszI84ci/GNzEE3CV799Hx0dx8qlbHxnJ0cqqnj8kd9y5eXn8fCjzx9tmz7nUqSUlBflcn0fUqXdJLh1mZNgVOPBjcciga659nJmz5nBb+77C9/70VfTcq3HY3irO2rxU1yEalok2WVQlhtlT23yfcUg/Kb8wIYKhfOmG5llb2V79an60WhU/60kdNyDTOZMntwcIceWw7WLHLR72qnvPM5VQtFLaZb8eoTWuyS8vSrMN58M8fXLi/jBlXn85IUm9jWeaHXUc0kCdF01hFF/OJx8NQHg/o0R/rPZy3ULHNwx08oDZ7vY1hLlgX0hXquLEO0e2Hr+zHpVIwHiIR03HXfyPgtzH25x6uClMsWS/PnFg0OYVl0qc7NUbppo4bJxJowKPFMT4U/7g1T6NNSWSHIf0CRZpC+/8Czuv++bXHDdJ9l7sPKEtlV//Slms4mrLr09aZdkxrEkL1YD/N+ZFuYVqPx7Z4QnDkQR3ac9nih7sGPHPgCKCvNOPGYfLos9MKpw23IXdrPC/W+68XYnrc7IcPKdH3yF733r5yc4rR9FGkp6jHhcW1wT1LarZNgEOckreQ4aNR0aFU0R5pWZyXWmXr8W1+A/GzrxhuLcviKLLHt6dXiVbRG++ng97mCcb11ZxLKJw5d8IxmCMckD+0Jc+EQn333bR75N4b5znLx+bRZfWmijTMeZfQwJ2FS4scTC4xe4eOT8DC4pMfFEdZjLXnZz92Y/lb7BT/4XX99AY3MbH7j+shO2Ty4v5czFc/nnI8/p7v/Fuz5Aw76XmTOxkO+da2F2nsJv3wnzxIG+w5eXLZsPwKGK5KWDk0EANy52Upyl8vAmL/Vdx4SIb3znC1QcOsJjjzwz4OMOFqNiFLd4BL6QpDyPtLjIbKwIEghLzp5uTYtF2R/WeODNDhRF8MGV2VhN6TXCtHpjfO3xeo60hvniJQVcszAzrefrLyIa/PdgmIuf7OLO1R62tcS4fYaFF6/O4u8Xuris3JS2ZCSnK6Y6VL41zcHaFTl8d7oTBfj2Vj9nP9/Jd7cFqB4CSfYgHtf4z+Mv8r7LzsNqPZao5dbr3kOXx8vTL63V3V+TGvFYnLvPMlPoUPjxujCvV/e90rPbrXz3W5/h4KEqXnz5zQH3+4q5dmYUmXh2h5/9TceIecmyhVx3w5V89f++P+BjnoyBzNRRMnQFlc2JGiilA8vO1C9E4/DWgQAZNpUz0uRM3uqN86+3Osi0qdx2VvrdfHxhje8+3ci6Qz5uXZbDFy8uwDJKUgZpEt5siPLpNV7Of7yTX24LUGJXuHeFkzXvy+KrZ9hYnG/4n81wNMGmcmeZlccWZ/L00myuLbLwamuEGzd1cvVqDw9XhvGnWO3778dewGoxc817zgXAbDJy/VUX8tgzqwmF9XXtu154mHXfuZaO1hbuXh1kW1PfBlNVVfj9L79BYUEen/z0d4jrZJ3vDWdNNLJskoU3DwV5u/KY+sxoNPCze7/JX/74Lw4eODygY56MPKfCVQvNuPoZbDFqTJjeELS4JcVZ0OaBQIptJY1dcfbUhZlVaqaxK0Z1W+qNENXtUR55u4ubl2fy/jOz+M9Gd1p9ziJxyX2vtnC4NcwHludQllPKr1a3caRt9CTAaA1K/rw7yF/2BFleaOT6KWZunGLhtulWPBGN9Y1R1jZHebMpSusI+QmmG0YBZ2QaOTfXxLm5ZspsCVXNdneUHx/08WRjCHes59rTo8Zpbu3gpTc2ctv1l/Hg4y9x5cUryc508a9HkyefsBgFHz0zg3OmmNnaGOOXb4cJ9CNxmBCC+352NyvOWsTtH/oy+/YPjNTOGG/gPTPN7KwL89LuE4s3f/TjHyAj08Vf//IgLldCb2e1JgQgh8OO3WHD7+u74LPFCOdMN6JJCPbTo2DUkCVAVStk2WFyEeyqTr07+eYjIfKcKiun2/Bu89HhTz2T7akP8cRmN9cuzuT9ywX/2dCVVsIEeGaHmyOtYT57YQE/vKaIh97p5JkdnlFVcVAC65uirG+KYjPAWUUmzi4xsrLYxKVliaXhns4YbzZG2dIWY1dHbMTcYoYKkwKznAYWZBhZkGHkzGwjdoNCKC7Z2Bnh7zUB3miL0BQeXqv2Px5+lsfu/wlzZ0zmA9ddxsYtuzh4pKbX307KNfK587LId6o8tDvC4/ui/a7V/pPvf56rLj+POz/1Hd5av2VAfVw4zsDVcy0caI7x2BbfKWN4ytSJFBTksW336lP2fWXNKnbv2s9F57xP9xyKgPNmmDAbBM/vDBPtp9DbZyKNVMKoWmSOo3fHUS2ekIZyHDCtRFDTKqk7LtpczyqtGPWX1lr0mAXYahRcudCBBJ7Z6sMb6COBRx/W8GRYVG7l2sWZHGgKD5gwhTK4d5jDrPCJ8/JZNtHOjrogv32tjc7ASSPBkDypiHToFHECpCX5vnpJNgBd5dDUPANnFxk5u8jIghwDhm7FdbU3zq6OGDs8MXZ2xtnnjnEKv+hYtIfLGl5kVpnvMDLPaWK+08g0uxFT9zXUBOKs74jwRluEjZ0R+iyo2aUvWaotOqsGvZrK3f1Z++SfaOtws/yMOXzy7p/yxPNvJJq7E+4K4Mo5dm5Z7KIzEOdXr3exL6TvRyyOyz/5ra9+nI9+6Do+9+WfsurJV/pMpFFelMu6DU/w+c9+l0PrX+SaeWYqWuM8uDlENHyq98rkyeXkFeQCx2rwnHfBCj79uY9y151f5nBFJTu279G1hi+fbGRqoYE39keobjuVKZvcB3pNpDGqJEuAdh+0eSSludDhh0CKoyGDUcnqPX4um+/gvJk2nt3iTUvd7i1VQYSi8L5FLm5ZlsmDG9MvYfrCGve83MqFM4J86Mxs7r2+mD+uaeedqr6XJSOJA+44B9xx/rI/hN0As7IMzMk2MC/HwKI8A1d0S55RTXLEF6fGr1Hji1Pt16gJxanxx2kMav2WfAYDuyoot6mU21TKrCoTnArlVpUyiwFnt4I6GJfs9kX4R02Q7e4oOzxR2keZdPzAI8/xg7s/QXuHm+deOTF3ZKFL5RMrM5lVZGZjZZA/vNmFPyL5/Fc/wuc/cSvLL7md+obkpXA/eedNfOyOG3jo0eeprKpj4fwZR9Ostbd3UV1zLA/csqXzycnOJC8rsZQ+/6xZXDFdo9mj8eALLx6dKw8//hdKS4s4a0nCF7OiooqKiirgmPvduPGJFI1bt+ykqrJ3SbkH04tUphYa2FkT7ZUo9TDMZCmT+hfG48ekv0ONsNBqYUqhZFtlGClBSp3cg5q+jk476ZzNXbB2X4zzZ2exbKqDNXvbku5rVAdvENpSHUYIL9csdPL+5Zk8uNHTP8LUuVagz9Rwr+7zsbcxzOcvzOXLl+az4bCfv67roOtkKfPkw0b076PQeatIdQjp6o4LRggCm7vibD5OqZ9nEczNMzA3z8ikLAMTXCpn5xkxH2chisQlDT6NrrCGOyJxhzU8cXBHJJ5IYltUO+bvKUjcRtH92aAIMs2CTJMgy6yQaRZkmQSZZoXs7v890KSkIaBR5dPY3hThsDfOjo4YB91xYhJEsOc+CURvIrUOf4o+BoiiJz3ojZvuMfPcU6v5wd2f4JFVLxJz+1BICJ1XzrZwwxmZxOLw+9fbeO3AMf9jBZFI/iulrsR23jlLALj5+su4+SQ3pUcefY7Pf+GHR79/8XMf4szlC49+v/KG64DrAPi/+148ul1VleQFzHr60rM61rSj23rjmcJMlcUTjdS0RdlaNfCsSMO8DDfLbFtJr22x2InST5ZDYfZ4M3XtUSqbY/pkqeqnxT+ZLHuweJKT+eUO3tjbyp7a3hP56pGl2aJfxawnB+cZ5Rbeu8BBdVuUf23wEI4N8Z7rkOXxTumqAlfNy+D6RZlE45J/buhgdYUOIfZRXgBD8qV23DmEkM++zOK9kLQA8m0K47KNlLkUxjtVSh0qGWaByyRwmRUyzAKnUaD0I8N3D8JxSWdY0hnR6IpIurr/1/s1qnxxqrwaNf44ET1eCvbxfHXJso9k1B06Kcn6QZa33Hg5P/3+51l50W1UVTdQlqnwyWU2JmWrvF3p5/43O05R3cgsfReV3krhHkUf+WLPKYeLppvZ1xTj4a2hE4QJvXyWoJ8Q/GSydFgEVyywE4xoPL89oKunbPYePj2W4T3o9Gk0dMQoyTbQ4dXoSoMxZvNhL5k2wcrpuXT6IjR0picH3+aqEOGY5PoznNyxMoN/rHMTGIblWVyDJ7a52XjEz8fPyeUT5+aycmqYP77VNWwlK9IFCTQHNJqiUTY1J/mNWUEATmOCQHt8PCUJYUQq3f9JZFdyRzSCPbflXZYfZMrkMsrHF/PFz9zOi6+so762gZvnmnnvTDO+sOSel1vYeGR41TUXT1U5e6KB7XVRHt8RTos6DMCgwgWzrAjgtT3Bfht0TsaolSwhsTxYMNGMImDr4WDSJexgJcsEQly7tASrSWXV23W4Ayf+NhWSZQ+mFpi4eakLdzDOP9e7B2+N76dkecJ24IIZDj6wLBujKnh8h5end/qIHD9wTiPJsgdSx8tdmvtQDeg1D4EsR6Nk+eiD93HGglls3raH3/3oJ1xTHqAkQ+X1IxEe2BrCp1NRMdWSpSLgqpkGzhin8nZVlGd3h3u9JamQLAVw3kwLpTkGXtkVpLGrb6ZMJlmOarKEhPg8b4KZTl+cPTW937yhkGUkFiDDZuTapSVEYhqPv11P4DgGSSVZApTlGLh1WQYSeHCjh6r2QVS8HARZ9iDTaeFDyzM4a6KVVm+Mh7d6WVuRSIQwRpbH4V1GlgiFKTkqt8yzMKfQQJM3zl82h9jR2D03PJ3JD5tCsrQY4Ob5RiblKrxeEWP1/sGVlYD+keVZUy1MKTSysSLE/ob+zbXTliwBirJUJheZqGqJUNN66gUPlSwB8l1mrl5cjCcY48lN9YS6M0CkmiwBsu0Kt52ZQZZd5altXrb2kuBD/8CDJ8se16FZRSZuW+JiUp6J+q4Yj2z1sL5O0/fNHCPLfmG0keW4DIWb59lYMs6IO6SxaneYlysiJ67UhoEss63wgUVGsmyCp3bH2Nag6boWDZUsl042M6PYxPbqMNur+x+ocVqTJcDUYgP5GQZ214Tp9J0oSqeCLAFKsi1csbCITn+UpzY1EI5paSFLSERH3LzExeQCE2sPBnh5t7//TuQpIMseLCmzcNMiJ+OzjVR3xvjv9gCbapMMrDGy7BdGC1nmOxRunGthZbmJYBSe2hfm+QNhQr1NhzST5aQcwQ3zjAjgwW1Rqjq7rzNNZLmoTGX2OBO7aiNsqRyYMDI6yNJglbmuCb22BfxNuvvG4kGWTc3BbFTZcLCd0HFLZZNBf6KajclL4Z6MkiwDF85x0OGL8+IOLzGdKn6qKXmlREDfxUdqKAIun+tg2SQrB5sjPLrJ0z/Dj47TutAhtGT7KgKWT7Bw40IHxRkGKtqiPLTVz45+LluOHiRd0LkmqXNeeVzSiF7bTTpEqw7sem68/AJ+/c3PccY1d1B/qD7p70qLC9j08gN89pu/4JGnXwXghqsuRFEE/33ylROu58YrL+RX3/s8y676CFW1jQCoXp1E2d3x17l2hatnWbhwipm4Bs/vD/HUvjA+vbEV0iEUnfLJwFHCu+iCM3nvVRcyb850ystL2PjODm5438c5e7KBC6YaafVJ/rM5TEcg0Y/rrnsPH/rQ9UybNpFINMaB/RV89cs/Yv++CgC02Kl9sjtsfPHLdzFv/izmzJ2J0+XgfVfcxoa33jn6m3njDcwfb2R/Q4y3jwxczXXaOKUngyZhe2UXy6blML88k3cOtafFelbfGeO1PX4umGXn4rlOXt7pT5szuSbhmR0+mtwxrpjn4K7zs3jo7VNrIKcbmoR1R0JsqIlyziQz18+3882LMznUGuWZPUE2VqfPUvluwavrNnHZHV+iWcdQkgw3XnUhBoPKf598ZUh9mJitctVMC8vLTEjg1UNhVu0K0hmU6X2ZdeOSi1cya+YUtm7bg9lsQhFwyxkmZhQY2FEf48ldkaOW6Lvv/gQf+ehN/P63/+CH37sPq9XC/IWzj8Z5J0NWViY3vf997Nqxl7VvrOfyqy4+oX12aYIoDzUNjij1cNqQJUAgEmdXtZuFE7OYOS6D3TWnJhtNBWrbo7yxz8+5M+1cOMfOK7v86K00hopNVSHqu2LcvNTFR8/J5PmdPt4+kr5SosmgSXi9IsybR8KcP8XCFTOtfOFcF62+OC/sC/LqodCwuDydjmjv8tDelfDVHc5UXgJYUGzgqhlmZhcYCEQkz+4L8fz+MO3DXA73/+7+2dGkvs89/jtKnIKpeSrP7I7w9nEp3RYtms1dn7qNj3zkK7z07KtHt6/uR4mJutoGZk5aDsDKlUtPIMvpRSqLyo0caYmxoSK1RAmjJkVb/9HqCVPR6KUk20pZXh/L4CGgqjXK2n0BCjNULphlY4CrsgGjoSvG71/rpKI5wlXzndyw2IlphHKYxTR4+UCIzz7RyY9fddPsjXPbYgd/uj6bDy6xU/guTuY7d/okmjY9y5J5M49uu+P6K2je+Ax3f+zWo9smjCuieeMzXHhmYrV24+UX0LzxGcYV5R/9jdVi5sffuIs9bz1CxTtP8I/ffIfi7rjmHqy6/yecuXguSxbMonHH8zRte47H//LjE36Tnenidz/8EofefJQt6x7he9/8FA6rkQsmGfnF5Q6+dq6dAofCPzYH+Njjnfxra/AEorzphsuoP/wGl1y04ug2RVF47MH7WPfaf3A4UjOPeohyQZGg0CkQAu7fED6BKAFuu+1aamoaeOlF/TyaA8GUApWlk0xUt8V561A0LUlkTivJsgeHm/04rUamFTsJRuJ0panO+pGWCAZVsGKajQvn2Fm9O31LckjErf97g4ezp9m4cKaN0iwjj2wa/mV5DySwpS7ClroIE7INXDHLyqXTrVwx08aO+ghrj4R4uzpCaKgRSaMIuw4cocvjY8WiubyzYy8AKxbNJRAKs2LR3KO/W7FoHtFYjA3b9yQ91s++/RmuuvRsfvGH/7B990HOXr6Q3//sKyf85qs/+h2//dH/oSgKX/7+b5CKwOc/0dj52x98kSdfXMsdX/ohly+cwoc+8gHOK4nQvPZhjnTEuW9dgA01UeKx3n0I//vI85x79hLu+dH/sWPnfpqa2/jcp27jjIWzuebGT+PrI6VZfcVrPLLqRT7/lZ/p/s5sgCunK8wvUgjHJE0eSW3XqRNm8ZJ57NlzkE988lbuuONG8vKyqThUxS/v+RPPPvNqL0fWx/hshalTTNR1xFl7IEK6zDCnrYiws7oLdyDK3LJMMmzpC7c41BRl7f4AhZkql8yznxCPnA5IYM2BAPevdaMIuPOcTM6fkX7Jti9UdsT4zZtePvFoB//d5qcoQ+XTK1389aYcPn+OkzNKTSNS1zzVkFKycdtuViyaAyRyMy5fMJsHHn+e+TOnYOvWqa1YNIed+yvwB3o3uEwqL+Way87l57/9F7/6839Zs34r37/3fl5d+84Jvzt4pBavL4A/EGTrrgNs3XWAg0dOLEa1evUaGl9/iA849zC17ik6Dm4lY9ZKvvWqjy+/6OOt6ijxPgjiy1+/l0AwyK/v/RrLlszjs3d9gHvu+xvbumvk6CEWixPvo6bN1FzBZ5arzCkQvFoRp9lH0j4VFOSycuUSbrvtWn7w3V9y682fouJQJX/668+5+NJz++zPyZhZYqCmPc7r+yJp1a2ftsNbk7D1SCfBSJw5ZXbsfbmJDAGHm6O8vidAtl3l8gV2nJb037bq9ii/Wd3JzrowF8ywc9f5WYzLGvmFQGdQ47EdAT75WAdff66T1w+FmF1k4u7zXfzl+mw+tszBzALDcNgT0oa3Nu9k0ezpmE1GZk+dSIbTzu/+/TiRSJRl82cBcNaiOazbsivpMRbOnYaqqqeUbHjqhTX96kOhDRbkJ27issh23jtJocoj+eW6AI+sOYQ9O4+9Lf2P2/N4fdz1+R+wdPE8/vOP/2/vzMPkqMr9/zlVvffsk9knmclMkknIZCNkISGAAiJcjSJcUETxesXrBiIoqwpcFxQBUQEVBeHykx0kbIHAhQRISAJZJvvsk9n3raf3rjr3j5pJZuvuScgs4def5+lneqq7qk93V3/rPee85/v+jm0flvDAX58c0755c8/jxzffPepjDrPkkmKFry9R8QbhoQ81NlZHVixFUYiPd3LVVTfx4guv896mbXznqhs5dLCCq3/4zTG1SRHGZA5AbYfGxnEWSjhJu+EDBDXJjspOVs6ZxsJ8Jzur+vAHx+cTq+0I8cYeN+cUO/i3JU7e2ueh6wTbxw3HH5I895GLvfV+1i6O49tnJ7G10subB/1DlylOEqVtIUrb+vjH9j4W5lhYU2DljJlWzptjo9ens7vR6MKXNAXp8588XfXNH+3BZrWwbME8iosK2F9eTVtnN9tKDrB66QIamttIS0nmvR17wh4jfZqRg9vWMTR/cfj/gzklVXBapsppmQq5cYK0bOOi/M/d3fxrZ5CeAKiuICv8QWzWKKutRmHnrgNUVtVSNGcmDz/2wpgrLI6OpDgdPjcbbCbB25U6m6r1qBEuQFdXDxazmX17S48eTUref287X7vykqj7m1X4VJGZ7CSjR3mgUZsQo+uoYimEmA78D5CB0Ut8SEr5ByHE7cBVQFv/U2+RUr42+lH6j0V4M11VRCnDGibZOqDBvtoAi/KtLM6Po6TaP2JcMVI+ZCRz3+F0+GD9Po1z55m4YJGT9yqhLvy5H91qLdxu2tAxykMNIapavJxfHM/KWQ7mZVt5abebspYTPOMXJQk4nD2XBuws7WZnKVhNgqX5TpbmOVmS5+DMAhuaLilv8bGz1sPOwx6qh5e9+BiWdMIcPpdSBCNPXEjb6PuW7i6jo7OHNYuKKZ5byOatu1E8ITZv3c3az6yhqa4VfyDIh3sPHk3JGYikhUBoOq2tHQCkJyVS23c0hzgtub+srC5JNOksSlfJjRfE2wS/PMNCUJfs65Csr9XJsWn8AtjYLOnRBZj6rfD6XZSG2+KJKMsdr7vmG8zMz+XAwUpuv/X7bNlagquvf8A/0lLXYUsW463w+VNMnJKhUt+t8689flpcw+RqwM5NGzneXlZaSXFxEWihIwa+A/tIKYduG4bDAufMM5NkF+xt6D+2EBHLTo/G8Rhsj2WPEHC9lHKnECIe2CGEGEgI+72UcvT4fALx+CUH6gIUz7BwygwL+w6PX0ju8sH6vSE+PU/l7NmC7YehNIzrzYkkEJK8vLuXkjovXzotiStXJbC71s+re91TKp3HH5JsqehjS0UfioDCdCun5jk5Nc/J5StSuXxFKt2eEKXNPg41+yht9lHZ4iM0xRI5t3y0hzNPX8LsmTN49OlXANi8rYRbrvkGLreHXQfK8EYo9LWr5BCaprH2s2dx/9+fBiDTKfjeZZ8G4Ir5Jr6sGsnedhHCJ+38dquf3b0Kvn6tuGzBiXs/y09bwDXf+yq//t3feenVd3jzlb9x539fyw8GeUxGQwCn5ih8dq4JkwLrD4X44LCGfowTfOtfe4c1Z65g4aJ5lOw0onMhBGeevZKSXeEnzJIcgnPnmTGr8NbBILOiOOGfaKKKpZSyCWjqv+8SQhwERl+zOIn0eHRKGwLMzbUwN9fCwbrAuIXmvhBs2K+xZo6JFfmCOItkR130/U4EtR1B7n+nh7Pm2DmryM7sDDMbDnjYUTO6c8tkoksob/FT3uLn6Q+7SbSrnDrDwfwcO3OzbKwoMMpYBDWdyla/IaBNXmra/bS5QpP6fjZ/WMJvbv0BoZDGtp3GD3jvoUr63F7OWL6Yux+OPN7X1ljPO/+7kRuu+Tpn5puxdFaQO+9UUouXAdDlk7ywN8j+do2vzarmyi9/joyFZ1DU2kqfx0vl4fCrgI6VxIQ47r/3Ft7/YBd/6RfuG396L3/9021seu9Dnv3Xhoj7H65+l9fWrWf3U3czPUmhulPnxX0hOjxDv6GcnEwWLzZSrpKTE9B1yb997hwAdu/eT0O9EWE/9cQ6vvEfl/K3h3/Hb3/9Jzo7u7ni6xdTOCufr1zynSPHO33VaTzz4iNcd/VPeXf9y3x6rpmQDu60FZyaaWfeKXOM561eRkpqMl6Pl7ffOvaSu2PlmGJRIUQ+sATYBqwGfiCE+DrwEUb0GalTOu60u3Qqm4PMyrJQlGOmtGF88q3AyEXcWAbL8iTzswVxNsnmSsa9dAQYPpVvH/KyryHAFxY7uWhJHCtn2nh9v4fKSf0GItPj1Xin1MU7pUbdo0S7SlGmlbmZNooybVy4MJEvLEkGwBvUaegKUN8ZoL47aNzvCtLSGxzXBQIDbNluRDwlB8qPpPLous4HO/by2U+dzuadexFAkgUy7VCcbHSNf1SskDzLTrJNQdn2EO1JQZZfcBEoJvbvLuHnP76Tv//997xaqbGu3OhG3v/wsxTm53LPHdcS53SwZcdevvSdm0/Ye7nrVz/GZrNy7U9+c2TbK+s38cQzr/LL267hw537qKka/WqfaAWTycS8LDM1NsFze4KUNI5uuLJ69VJ+f9/Ph2x76GEj3ehH19zOM0+/DIDfH+CyS77LT2/7If/96xux223s23uIKy77Hu+/t+3ozkJgMpnISlI57xQzLp/krQNB3tn+8yOlJAB+ctMPAKirbWD54vOO5yMaE2NeGy6EiAM2Ab+SUr4ghMgA2jHGMX8BZEkpR0xlCSG+DXwbQFXMS9OT5ox6fJ87fG0PAL8WPhfMZhpaaCsnxURBppn2Xo1DDQHMEQwvjmXMcgT94x7zMmHpDOj1wbvl0D2QTRJpDCnCY8PHLIcjhplhLMix8Jn5DlKcKpVtId44FKCxJ8zxI43VRPT9JGJJATnKOt4hRFknD2BWBfnTrOSlWpieYiE32bhNiz+6NlyXkh6PRoc7RKdbo9Mj6fRodLg1ujwanoCONyjxBiU+xYYvJMMOyYw2ZmlRwGEW2OwqTrNx32GGZKtgml2Qajf+TnMKUqwcKa4G4A1J6txQ1xmitkentkfncI9Oz7CPJlIJDmmPMnbfG35llwhF+P6inefD6nrbTHBmvuD06cb/HxzW2FSp4R9tODFSTfAo57LUwo+7q4Q4vdBEQZpKQ5fOu2XBEzaxGWnMsqlj7/EbaQghzMArwBtSyntHeTwfeEVKWRzpOBaTXU5LLBz1sRMplnDU1q3TpVHR4UTK0XNZToRYAmQmwJpCY6ZuWw1UtjNhYglGCYnlM218aq4Dp0WwpyHIm6UBuoZ1laayWIbDblHJ6RfO9AQTqU4TKU4TqXEqKU5z1FQuX8gQT61fNQUChDEvIIwNqEJgN4M5Qs5TUJN0+CTtXmgPQrvPuLX6DJFs69cxNYrj/lQWS1XA8lz41EyBzQwlTfBWWYCeSG9pHMQy0Q5nzRYk2AUldRp76k9s+sfxiOVYZsMF8DBwcLBQCiGy+sczAS4C9h1zi8eRpi4NKQPMyjJTZApQ1mJBDyOYJ4LmXnh5nyGYqwsFGQmS7dUT0y0Ho2v+QaWPXY2SNYUWVhWYOSXLxEe1Qd6vDNIdzTZsCuMNSipa/VS0jhRkYbZiUQUpToVkh4rdrGA3C+Ovw4rdbPzo7WaBKsSR7qOUEqmq/feNBGpvUOIJgSco8egCd9CIFj1B6PJLev1H3dWilv6dIBRFOVqETY7MGNF1fUwpQmYFTsuBNXmCBJugokPyRoWkyYUxxTuBzEwVrCwQhDR4c3+Q5t6pce5GjSyFEGcA7wF74Ui10VuArwCLMc6fGuC/BonnqAy1aJP9N+OKpwWOv/5HpNSgaXEhCqYFcfkVylpsIwRTj+CJB5E9KRXzSOsqgWRBtmRhNvR4dTaWhugZRagiGpdGibSUCP6dA1FnvE3w6bkOTs2zIoCSOj+byrx0eCJYmkXoEkHkz0qJZlcXIWqN9n4jRf9CjSBaNmfkNkVIl5HmyHFEaHp42zK1OYrRbIQCaro9St3w3qHHfu7Ru1i1fFHY5z/z3Hp+9ONfh40sLaoRSZ4xQxBnFVR3STZW6VR2DjpnvVF+m5F6SRHSgIajCFiWLyjKUGjplbxbruM9zuy4qL6uEc6pxtadU8vP0mbqxaz4cQVSAWXcxBIg1alTmObHHVAobbGh6UdP1hMtlgNkJUhWF+iYFNhaFaKqbegJNd5iOUCiXWH1LBvL8m2YVDjQGGRTuZ+mnpEncUwsB7XpJBHLwvxcnE6jLcI3sq/c2dVDfX3zCHGwmWDldFg1XeCwCMrbjaTymu5RXnQCxDLOCmfNVkiNE+xr0NlVJz/W5OxYxdKk6CM8a6ecWJoUP05zJyHdgjuYghaIYGoahWhiKYRCkiPErDQ/3n7BDPUL5niJJYAVL2fOMZOZqFDeorG9OnSkWz5RYjmA0yJYNcvGygI7NrOgtCXIu2U+DncePZljYjmoTSeJWA45rCeCqPV/hglWWJErWDHdWHlzsE2yqVpSH25CEMZdLAvTBMvyjCGSzRU69d1Rd4lKdLEU5CZ4SXX6OdCSSHCQYIYTy0lbGx7SrXiCiZjVAA5zNxG99k8A3R4T5a1W7GadeVleLKbxH0z0BmHD/iB76kLMSldYu9hCevzkLJp2ByRvHvBy94Ze3jzgJTdJ5ao18Xz3rDhOnWHB/Akr/ToZXHbep2ndsI7c7PSIz8vNTqep5DUuXXvukW2Xrj2XL39xZNrLgPVbfm7Wx2pbfhJcViy4frVgTT5UdMD9W3X+WSKp7/1Yhz5CXJyTa6//NutefZR9h97hQPm7vPTa//DZCz416vNXr1rCxnce5+3d27jtn2+x4KLraPdFdrcfIDs7g4ceuYdDVZsprd7C3x+9l5yczDG2VJKf5CErwUe310JQH9tvclLXhgd1B96gjt3swmnTcftsHF03duLp8Zo41CKYk+5jfpaX8lYbveM8eC2BXXUaDd06Z8w2c8ECC4eaND6qChDGUWtc8YUkm8r9bKnys2S6hRUzrXxpiYMLi+3srvWxvdpLy0leU3yyeGv7R1xwzU9obTv2ZNcBt/Qn3nj7hLXHZoLFWYLluQrpcQJvUPJBHWyrk0SZsD8ucnIzufI//p2nn3yJ++75G7rU+cIXz+eRx//ALTf8ikcfefrIc89ZNYeHn/0rZTs/4NbvX40el8NPb7+OaRnpfOdbN0R8HbvdxjMv/p2AP8i13/8pEskNN1/Nsy8+zDlnXYI3jBMUgCokhaluEu0hGnttNPTaGavmTLqRhl9zIoSOzeJGSvD4x1cw+/wqB5rtzEn3MTfTR2WLSkff+AfYrS7JS7sDLJmhMi9LJTfZyQflPhq6JkeYghpsrwmwvSZAXorKsnwrS/NtrCy0U9sR5MMaL3vr/cddkP7/Rzp6euno6UUNnniX7rEigLwkWJKtsCBTYFEFdT2SF/br7G2B4Dh2qGprGzh92efxeY8q8cb/fZ/snEy+f803efSRp7GbYcVMhZtu/h5dba1cfvn1tLuMiCUQCPLHB3/FA3/8B3v3hLeOu/xrF5OXl8ualWupqTaS6Q/sL2fz9pf52pWX8NCfHx91P4uqMTvNjc2kU93ppN0ztih2gClg0SbwheLxBSzYrQHs1nG28gF8QYUDTXb6/AqzMzVykjXGexgAjDSiD2s01u8NEtIk5y1wcEaRDeskX7IOd2o8t9PDb9d38OqePuwWwcVLE7jl36Zx6bJ45mVZiJAa+IljwfzZNB7cwPJT5x/Z9s2vfoHGgxu44YffOLJtZnYWrRvWce7ypcDo3XC7zcqdt36f/e8+TcXWF3j0j7dFdEtv2foyLVtf5oUHfz3kOamJCTx4x/WUbn+BnRuf4Be3fBerZWC8VpLp0Dl/tsKP16h8a5mJ4gxBSZPkwa0h/rpd465H/sGfH/zliPd6+orFNFRv4uyzln/MTw28Ht8QoRxgz+79ZGSmUZgmWLtIITfVxKwlq3j6mTeOCCXAy+vewO8PcH6YbvsAn/ns2ez8aM8RoQRj9c6H23eH3ddpCXFKRh8WVVLWduxCCVMgsjQQ/V1wicPqR0rwBSIXLvq4hHRBabON/BQv01N17BZJZasaNnn9RNLWJ3lpp4eFMywsnG4hJ9nJh1V+qlonxxF9AG9AsqXCy5YKL3mpZhZNt1KcY2XRdBvegM7+Bi8ltV6qWj/ZBcz2Haigu8fF6pWL2d6/Lnz1ysV4vT7OWLGIAb/wNUsWGm7pew+EPdZdP7vacEv/yxP9bulLePDOod3MwW7pP7nrQQBcw93Sb7+Of214l2/98BcsXTSP679/BX63i/eff4yFaToZDommC8o7JG+U6xxslUOiyMf/uY47fn41GemptPQ7IgFccflaDtc2snHTUFPi4TS07OCZp17mRz+8PcqnN5LVq5fSXFvD6kIjJahZZGO12Th0qGLI8/z+AIdr6pg9pyDi8YqKCnnj9XdGbC89VMnn144c9022ByhI8RDQFcpbnfhC6nF1XidWLKUMuzpFtTjx6Q4UrRunzYdQrQS0o7OZEWeeo9gzaZ7whc0O1vXRN83MzAwLZtXPgVrfkK6nyRR+llexRp5t1YPhB4Z0PcCOKh/VLSqr58Zz5lw7RVlBPijro9019oLwI9oU7QkRZvcHp29VNRm3dQJmZdhYlOekONfOaTOduLwh9ta5ONjgpqLFQ0iTWJMzIr9uMPyFIKK1GERe4RNpZUoUB+JwK2kksHXnPlatWMy9f3sKIQQrly3ksWde5T8v/wL2BCcuq8bqJcWUVFTi1j1gBcz9VxCrCWkzUTgjh4suPJs7//z/uP/x5wDYuGsPzngHV158IZgUpFWltKERl8eLqqrsOFR2tCGqOPKFvvDmJn73yBNMD/gw1X9E5Rlz+OoXz8b+0SNU9wjWVarsr3ThCTMC8NxTL3HzDd/mKxefz333PQJASkoSF5y/hnvu+RsEImRnaEFCoRBaKBg1Y2IwFhVuuPZiFi9dxOO/uYXNFUEqWnVOW26suOvu6kIOy5Lo7uomKSkBqYfCrrJJSk6kp7t3xIx3T3cviUkJxnahAJLsBC85CT5cfhMVHXFGmpDgmC3dYMpElgMIPMEkoBuH2ZiiGyyY40VdexCvX6co18qphXYO1PlxeSdm6U2nW+PlHd3MzrSxrNDJF05L4lCjl4/G0cj4WNAllDX7KGv28dxWP3OznSzOj+e0gkRWzUkmGNKpaPFQ3isoa5d0T3xRynFh8/YSbr32m1gtZuYUzjDc0v/xHF/79wtZubSYN+tKOGPBQp54K3zNmFOL5xhu6cOccF7c8J4hlmNgQA5CZVu4ebabRLOx1r2ltpr84qXc9aGZnoBxURARdMzt9vDC8+v5yuVr+cMf/oGUkksv+xxCCJ568uWo7ZiReeqY2jvArDTBpZ9bxlU33MTbr6zjp/e8OKGG1arQKUhxk2QP0u62UNPlRH7MuZApJpZwVDC7cJh7EUj82si13yeadpeGt9rH/OlWFuXbqGgK0Nw9cd3i8mYfh9v9LMl3cEqOnYJ0Gzuq+jjY6B23AkzHSkiX7KvvY199HyZFUJBhZ252HPNynMzLMX7WLX2SsnZJVaektluObrxwErB5ewk2q4XTFp9C8dxC9pdW097ZzfZd+1m1bCG1opO05CTe3xPeLT2j3y29vbN7yPa2Yf8PRkGSbdOZ6dQodIS4IMu4+kynk4+8KmXVkrJuhe8s0VhjsRwRyrHw2GPPc+U3LuGcc1bx1lubueKrX+T11zfSEcG9/VhJdRoTOIuXzOc/b7+PD97fxpXf/NmQzI+e/pLBiYkJI/ZPSk6idFj3fDgDEeTIfRPp6XZhM2nMnubGYtI53OWg1W3lREwaT0GxBEMwk4Fu7GbDzivI+M6SA7h9OjurvMzNtTInx0qCQ6GmjQkbnwuEJNsq3Bxq8HD6nHhWFSUwN8fBh5Uu6jqOv2s+HoR0SVmTh7ImDy/tgOz8QoqmCeZME5w+Q7AmX0GXkmYXHO6WHO5QONyp4xr/+bsTwsHyGjo6ezhj+SLDLX37bgDe317C2s+soT7QiT8YZPvB8OOVLe2dAExLSaK28ahDdFpK0pH7JiGZ7tBJsug4zILbivqw9oeTrX6FKrfK2cADVU4qG+yoH6OWSWlpFVu37uKKr12E3x9gZsF0brzxzug7joF4GyzKFRRMU0jMLuTrtz1IyZ5Srrzih4SGGXzUVNfh8/kpmjtryHar1cKMvFxeXvdGlPdRSVHRSEOe2XMKqK6s4JQMF7oUlLbF0xc4cWv4p6hYwuAuud3sQtEV/DKF8RbMkAb7DvvJS9OZkWYmwQFljeCZQK3q9mis391NfpqVZYVxnL8omZaeADuq3DR2TS3RHKDDA1tqJVtqJWYFpicJ8pMEeUmwNEdw+gxjtUyXxyiP2tyr09QraXLp9E3Rrnskt/QLQz52lUV2S9+5r8xwSz93Dff/z3OYFUmWTefba1cD8OnMAMXFbkwKJCoBFGsiO3vMVHtUqj0qrpDCZUXGj107Qef9Y489z5/+dDuJiQlUVh5m8+YdH+t4TgsszBUUpgl0HTrUXK775V+orqnn61/5AT7fSHEPBoNs/N/3+fwXP8vdv30Ard+16HNrz8dms7JhfeRc0w2vb+Tnd1zHjLwcavtNkmfMyGL58kU8fv9deIIqlR3xQ1blnAimsFjCgGBK2YvV1IPQNXwyjfEWTIDDbUF6PBpzc20syIPqVmgNP080LtS0+alt9zM7y86SfCcXLkmmqTvArpoALaOs7Z4qBHWo6jS64mDMs2TaNfKSFfKSFWYkKyzMPjo43+eXNPfqNLsMEW13SzrdetjJiokiklv6mkULufvJ0d3STUKSYdOw9Rxm86Z3uOm/LmdNehBP/SFy55/GzNOMlXRBHTa3m6lxq+h7G7jiS4th/rmIhmbSPV5ctSfOLX2A1159mzvu+BHLly/ijtvvG/N+tc07efapl7j+2tsBsJthQY5gdn8FykPNkiZ/Mi+89hfMZjN3//ZB5hQVIuXRqHLfnoMEAsaXevdvH+CVDU/y0CP38o+Hn2T6jGx+dsdPeHndG+wpORqtX3Lp57n3j3dw6ZeuYusWQ9j/+fjz/Md/fplHHvs9d/3mQcyKxo03f5f2liYeffR5KlrjolvSHQdTXCwBBN5QAlKxYlO6EFLHq6czESmi3W6dkhqYnQWzMgVJDkllCxPi1D2ALqG00Ut5k5eibDuL851cuDiOxq4Qu2p8tJ4Eq210CY09ksYejQ9qjPbaTJCZIMiMV8hKEGTGC1bkmTAPKpDuC8p+c1+dTrdOp0enxyvp8xs3d0Aynl/F6G7pGtt37uW8s0+n6uBuFtuCJKk6qarkbKcRZV4310Nfh7GKpOb5u0nEw7ILL0VRzezYVcJVt97Nk3+5m/daLbzeZOT73ffY8+RPz+Xem35AnMPB5p17+dLVt57w9xQKaWx4410uvuQCnn321THvZzKZUFQVqwmKswVFmQIFqGiT7GmQeAJw+uqCIw7mjz/5wIhjLFt0LvV1jQDs33eIr1z8LW69/Xoef+rPuHpdPPf0Ou78xX1D9lEUwy1dDFpP7/V4ufSib3H7r27gTw/8AkWBku1b+Omtd1PRJBmvYGpCjTRUoUqHafTZbbMaOa/SZHJgNftx2nyENBWX5+jsVlQjjUjGE9EW3AMgyYr3kZ3gJaQJqruc9PotUU0CQt7usI9FanOkNClVSGZnCIozdexmaOgR7GtWaO0DEMhoFRqPNw2HyJUUda8rystGnyxTBKTGmUiNN5EaZyIlrt/oN95MslMd4ko+gDvQL5x+SV9AEghBQJMENQigEtCMCC6o9V/kxNGf0uCjKYrhkm4xgVUVWFSJVTX+t6iGEUm8xXDHGa0driC0+xQ6/IIOD3T6BB39N7829PmKL8JQij/KmEQko90xVBNVVZXNH7zA9m27uebq244+EOG7lwEvTgvMyzIiSVWB6nZJSb2kzx/ZFEbXIg8b6fL4JlEtJpidqZDkFHT1SSqaGZLyF8lsBkAJYzgD0NS5//jMf6cS/qAVKQVxdi8Jzj5cHie6nIilJYIml50en5mCFDdFaX209lmp7bKOq6HwaGhScKhVoaJdMCdNMj9D5/wijQ43HGhRqGmdiLVI44Muoc0Vos019AckTBYEkOhQSLCrxFkV42ZTiHdaibMYXoxZCQpWk1GewqKCGiXPMnw7JAFNENDAHzLKLXsCkjY39PnBFdDpMdnpCwpcQUFvUBAYZMYgpuAa0bg4J3PnFvLFi84nOzuDv/7ln2PaL9muc8oMQX6qAAnVHZJ9DTKyc/o4kxYvKMgQCAGVzZKWCRoeO6nEEiAQstDrUYh3uEl09tHrGf88zAE8QRP7WxLITfSSEecjwRqkqtNOn3/iP8aQLjjQIihtFRSkSuZl6Kwp0FmSo3CwSVLeKifMpX0ikEC3R6fbM/RNKRFKSqg2G2bViAwt6iBnNDn0giIx3NIHxDGkR7eN05Knzk/HcEsXEObCres6CxYU8dwLf6WtrYOf/+we9u8vG/W5BpKseMn8DI2sBEkgJDjYJDnYLCd0onM4JgUKMwTTEhR6vZKKJvBN4Lj21PnGj4GQZqLXHXdEMN1BMyF9fJdHDiAR1PU46PKaKUjpY166m2aXhfoe24QslRyOJgXl7cYtN1EyL11jWb7ColxJWauktFninpoT6OOOJo0SML7JXUU67jz9zP2sWrU07OPPPP0KP7r2DnKylkU8jkmR5CfrFKXppDgMYdzRoFLWGJh0Q5VkJ8zKVDCpUNOm09ApERNsbXFSiiWApqv0uONIcLhxmrvwheLxa04mYqYcoC9gZm9TPDOSvWQlBEi2h6jutOOahCjTQFDfI6hrD5LqhPnZglOyBPOzBI09UN6qU981cTmjMSaOm278DU6ng3ADMJ0d3RH3T7FLZqWFmJmiY1Gh2yvYUqNS3aWgS4GcRKG0mGBmusK0eIHbLzlQr+OepFzdk1YsAaRU6HHHEe8MYDe7UJUQnmAiEyWYuhTUdDrodIfIT/EyL8NNh9tMbbeNoDZ5Nj0dbni3XOK0SGalC2alCc6eo+INSqraoKJVp+f4jeljTDEqK2uNO2OY4BnApEhmpkhmT9NJdRpDD4e7FMrbFdrcgon6DYVDAFnJghnTjHYc7o8mJ/Naf1KLpYGRi6npfdjNfSgihDuQjGTirL97/Sb2NseRneAnK8FPkj1IfY+NRu/kTra4A1BSL9lTL8lKhNnpCvMyFeZnq7T26pS36tR2yknvYsWYGASSjHhDJPOSJWYVujywvVahuksloE2uQA4Qb4fCDAWnVdDZJ6lq1fFPcs4tfCLEEkDg1+LRpRmHuZt4azvuQBKaPHbPuuNFSkFDj412t5m8ZB95yT6mOaC6BXonOYqTQGMPNPbo2Ew6BdMUZmcorJ5lYqUuaeiW1LQbtU8+SZNCMQAkaU7IT9HJS5bYzUaKzeEuQXmbQrsHjhRRn2RMKuSnCTISFfxBycEGjc6+yW7VUSY0z9KkmGWCJXn0hkTJ8VMiFEUX4uhjqqIRb/egKDoevw1fwEKkLoWMkuelH2ehrdR4lcJMCzaLQkt3iKqWAMHQ0c86ovVblByxSETLaxtMWoLKzDQLM9MtOK0KIU1S1xGkui1IfWdoRPJ9pNzQcNZ7Rx4fQ55lOBRz+Mk7EckmL0JBsqhEG9wNRQh1onwWJ6p0bCSSHTBzmpHyE2cVaDrUd0NNBzR0G5NfY0WPUkwwUlG/sSFJiw8xPSmAokBzr5nGbjPaOA6wRzpfW3rLT/48y7EwMPHjtHtx2nyY1RB9XsfHtmc6VjpcGl19XmakmclNNZMab6euPUhDR3DKTLK09Wq09XrZXuklI9FEQbqF/DQzM9MtBEOS+q4Q9R2GcPqmgF1cjPAoAjITIDdZkJtsCKSuSxp7YHedTn23Mq4lJY4PSaJdY0ZyALtF0utTONxhxRtUjjw+lfjERZZHkdgsARxWH7pUcHkcaPrIcczxiiwHY7cIZmZYmJZgwh/UqWkN0tEXPuqZqMhyOEIoCCAzSWVmv8g7rcb30tYboqFHUNuh0z1KoBGLLAcxQZGlWYW8FEMcsxKNZPyQJmnqgfpuSW2nxN/flLGtVBud8Ygs7WaNGSkBEu06vqCgtstCt0dlcC9wrL+v4yEWWQ5B4AtYCWkqcf3d8tHEciLwBiQH6vwkOIIUZFhIS1TpmEJjMYORQFO3RlO3BuU+UuIUpqeYyU01sShXQRFGpBJj8rGaYFWhgtsvqWoz3Jxaeo6tiz1ZOCw6DovO4Q4LrS7ThPf8jodPcGQ5mPCL6ycishyOSQGUyR+zHE6078DhcCDE6KsmYpHlICZwzDLRxpiWHk61yBIkqjAWVYR9RiyynAym1lUrpPcL5kmG/xO+EuZkZDLXaH88xEkRAQ/mJPzJxogRI8bEM6HdcCFEG3B40KZpQPuENWBsxNo0NmJtGjtTsV2xNoUnT0qZNnzjhIrliBcX4qPRxgYmk1ibxkasTWNnKrYr1qZjJ9YNjxEjRowxEBPLGDFixBgDky2WD03y649GrE1jI9amsTMV2xVr0zEyqWOWMWLEiHGyMNmRZYwYMWKcFMTEMkaMGDHGQEwsY8SIEWMMxMQyRowYMcZATCxjxIgRYwz8H/c7qvyvS59uAAAAAElFTkSuQmCC\n",
+ "text/plain": [
+ "<Figure size 384x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# FIT IMAGEN 1\n",
+ "\n",
+ "Xin, Yin = np.mgrid[0:30, 0:40]\n",
+ "data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)\n",
+ "\n",
+ "plt.matshow(im_cut1, cmap=plt.cm.cubehelix)\n",
+ "\n",
+ "params = fitgaussian(im_cut1)\n",
+ "fit = gaussian(*params)\n",
+ "\n",
+ "plt.contour(fit(*np.indices(im_cut1.shape)), cmap=plt.cm.copper)\n",
+ "ax = plt.gca()\n",
+ "(height, x, y, width_x, width_y) = params\n",
+ "\n",
+ "plt.text(0.95, 0.05, \"\"\"\n",
+ "x : %.1f\n",
+ "y : %.1f\n",
+ "width_x : %.1f\n",
+ "width_y : %.1f\"\"\" %(x, y, width_x, width_y),\n",
+ " fontsize=16, horizontalalignment='right',\n",
+ " verticalalignment='bottom', transform=ax.transAxes,c='white')\n",
+ "\n",
+ "FWHM1 = 2*np.sqrt(2*np.log(2))*width_x\n",
+ "print('El valor de FWHM es: ',np.round(FWHM1,2))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "El valor de FWHM es: 20.08\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 288x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# FIT IMAGEN 2\n",
+ "\n",
+ "Xin, Yin = np.mgrid[0:15, 0:25]\n",
+ "data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)\n",
+ "\n",
+ "plt.matshow(im_cut2, cmap=plt.cm.cubehelix)\n",
+ "\n",
+ "params = fitgaussian(im_cut2)\n",
+ "fit = gaussian(*params)\n",
+ "\n",
+ "plt.contour(fit(*np.indices(im_cut2.shape)), cmap=plt.cm.copper)\n",
+ "ax = plt.gca()\n",
+ "(height, x, y, width_x, width_y) = params\n",
+ "\n",
+ "plt.text(0.95, 0.05, \"\"\"\n",
+ "x : %.1f\n",
+ "y : %.1f\n",
+ "width_x : %.1f\n",
+ "width_y : %.1f\"\"\" %(x, y, width_x, width_y),\n",
+ " fontsize=16, horizontalalignment='right',\n",
+ " verticalalignment='bottom', transform=ax.transAxes,c='white')\n",
+ "\n",
+ "FWHM2 = 2*np.sqrt(2*np.log(2))*width_x\n",
+ "print('El valor de FWHM es: ',np.round(FWHM2,2))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "El valor de FWHM es: 18.3\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 480x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# FIT IMAGEN 3\n",
+ "\n",
+ "Xin, Yin = np.mgrid[0:14, 0:14]\n",
+ "data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)\n",
+ "\n",
+ "plt.matshow(im_cut3, cmap=plt.cm.cubehelix)\n",
+ "\n",
+ "params = fitgaussian(im_cut3)\n",
+ "fit = gaussian(*params)\n",
+ "\n",
+ "plt.contour(fit(*np.indices(im_cut3.shape)), cmap=plt.cm.copper)\n",
+ "ax = plt.gca()\n",
+ "(height, x, y, width_x, width_y) = params\n",
+ "\n",
+ "plt.text(0.95, 0.05, \"\"\"\n",
+ "x : %.1f\n",
+ "y : %.1f\n",
+ "width_x : %.1f\n",
+ "width_y : %.1f\"\"\" %(x, y, width_x, width_y),\n",
+ " fontsize=16, horizontalalignment='right',\n",
+ " verticalalignment='bottom', transform=ax.transAxes,c='white')\n",
+ "\n",
+ "FWHM3 = 2*np.sqrt(2*np.log(2))*width_x\n",
+ "print('El valor de FWHM es: ',np.round(FWHM3,2))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "El valor de FWHM es: 32.03\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 288x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# FIT IMAGEN 4\n",
+ "\n",
+ "Xin, Yin = np.mgrid[0:20, 0:20]\n",
+ "data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)\n",
+ "\n",
+ "plt.matshow(im_cut4, cmap=plt.cm.cubehelix)\n",
+ "\n",
+ "params = fitgaussian(im_cut4)\n",
+ "fit = gaussian(*params)\n",
+ "\n",
+ "plt.contour(fit(*np.indices(im_cut4.shape)), cmap=plt.cm.copper)\n",
+ "ax = plt.gca()\n",
+ "(height, x, y, width_x, width_y) = params\n",
+ "\n",
+ "plt.text(0.95, 0.05, \"\"\"\n",
+ "x : %.1f\n",
+ "y : %.1f\n",
+ "width_x : %.1f\n",
+ "width_y : %.1f\"\"\" %(x, y, width_x, width_y),\n",
+ " fontsize=16, horizontalalignment='right',\n",
+ " verticalalignment='bottom', transform=ax.transAxes,c='white')\n",
+ "\n",
+ "FWHM4 = 2*np.sqrt(2*np.log(2))*width_x\n",
+ "print('El valor de FWHM es: ',np.round(FWHM4,2))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "\n",
+ " \n",
+ "\n",
+ "**Paso 7**: Calculamos el valor medio, mediana y desvÃo estandar de los FWHM obtenidos para los cortes realizados. Por último, realizamos un histograma.\n",
+ "\n",
+ " \n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "El valor medio de FWHM es: 27.06\n",
+ "La mediana de FWHM es: 26.05\n",
+ "El desvÃo estándar de FWHM es: 8.16\n"
+ ]
+ },
+ {
+ "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": [
+ "FWHM = [FWHM1, FWHM2, FWHM3, FWHM4]\n",
+ "Media = np.round(np.mean(FWHM),2)\n",
+ "Mediana = np.round(np.median(FWHM),2)\n",
+ "Desvio = np.round(np.std(FWHM),2)\n",
+ "print('El valor medio de FWHM es: ', Media)\n",
+ "print('La mediana de FWHM es: ', Mediana)\n",
+ "print('El desvÃo estándar de FWHM es: ', Desvio)\n",
+ "\n",
+ "plt.hist(FWHM, bins = [0,10,20,30,40,50])\n",
+ "plt.title(\"Histograma Gray\") \n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "\n",
+ " \n",
+ "\n",
+ "**Comentario**: Cuanto menor sea el FWHM de tu fotografÃa mejor, ya que esto indica que la luz está más concentrada en el punto de origen que la causa y menos desparramada por los pÃxeles adyacentes. En este caso el valor medio es de 27.06.\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "**Paso 8**: Realizamos el ajuste gaussiano, de la misma forma pero ahora con el canal rojo.\n",
+ "\n",
+ " \n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<matplotlib.image.AxesImage at 0x7effe61bdba8>"
+ ]
+ },
+ "execution_count": 12,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "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": [
+ "image_red = np.copy(imageRGB) # creo una copia de la imagen para preservar la original\n",
+ "image_red[:,:,1]=0\n",
+ "image_red[:,:,2]=0\n",
+ "plt.title(\"Canal rojo\")\n",
+ "plt.imshow(image_red)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[<matplotlib.lines.Line2D at 0x7effe60763c8>]"
+ ]
+ },
+ "execution_count": 13,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 720x720 with 4 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "im_red = np.mean(image_red, axis = 2)\n",
+ "red_cut1 = im_red[540:570,640:680]\n",
+ "\n",
+ "max_index = np.where(red_cut1 >= np.max(red_cut1))\n",
+ "r_x01 = np.mean(max_index[1])\n",
+ "r_y01 = np.mean(max_index[0])\n",
+ "\n",
+ "red_cut2 = im_red[300:315,470:485]\n",
+ "\n",
+ "max_index = np.where(red_cut2 >= np.max(red_cut2))\n",
+ "r_x02 = np.mean(max_index[1])\n",
+ "r_y02 = np.mean(max_index[0])\n",
+ "\n",
+ "red_cut3 = im_red[310:325,615:640]\n",
+ "\n",
+ "max_index = np.where(red_cut3 >= np.max(red_cut3))\n",
+ "r_x03 = np.mean(max_index[1])\n",
+ "r_y03 = np.mean(max_index[0])\n",
+ "\n",
+ "red_cut4 = im_red[295:315,470:490]\n",
+ "\n",
+ "max_index = np.where(red_cut4 >= np.max(red_cut4))\n",
+ "r_x04 = np.mean(max_index[1])\n",
+ "r_y04 = np.mean(max_index[0])\n",
+ "\n",
+ "fig, axs = plt.subplots(2,2, figsize=(10,10))\n",
+ "axs[0,0].imshow(red_cut1)\n",
+ "axs[0,0].plot(r_x01,r_y01,c='b',marker='+',markersize = 30)\n",
+ "\n",
+ "axs[1,0].imshow(red_cut2)\n",
+ "axs[1,0].plot(r_x02,r_y02,c='b',marker='+',markersize = 30)\n",
+ "\n",
+ "axs[0,1].imshow(red_cut3)\n",
+ "axs[0,1].plot(r_x03,r_y03,c='b',marker='+',markersize = 30)\n",
+ "\n",
+ "axs[1,1].imshow(red_cut4)\n",
+ "axs[1,1].plot(r_x04,r_y04,c='b',marker='+',markersize = 30)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "El valor de FWHM es: 49.7\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 384x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# FIT IMAGEN_RED 1\n",
+ "\n",
+ "Xin, Yin = np.mgrid[0:30, 0:40]\n",
+ "data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)\n",
+ "\n",
+ "plt.matshow(red_cut1, cmap=plt.cm.cubehelix)\n",
+ "\n",
+ "params = fitgaussian(red_cut1)\n",
+ "fit = gaussian(*params)\n",
+ "\n",
+ "plt.contour(fit(*np.indices(red_cut1.shape)), cmap=plt.cm.copper)\n",
+ "ax = plt.gca()\n",
+ "(height, x, y, width_x, width_y) = params\n",
+ "\n",
+ "plt.text(0.95, 0.05, \"\"\"\n",
+ "x : %.1f\n",
+ "y : %.1f\n",
+ "width_x : %.1f\n",
+ "width_y : %.1f\"\"\" %(x, y, width_x, width_y),\n",
+ " fontsize=16, horizontalalignment='right',\n",
+ " verticalalignment='bottom', transform=ax.transAxes,c='white')\n",
+ "\n",
+ "FWHM_r1 = 2*np.sqrt(2*np.log(2))*width_x\n",
+ "print('El valor de FWHM es: ',np.round(FWHM_r1,2))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "El valor de FWHM es: 24.24\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 288x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# FIT IMAGEN_RED 2\n",
+ "\n",
+ "Xin, Yin = np.mgrid[0:15, 0:25]\n",
+ "data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)\n",
+ "\n",
+ "plt.matshow(red_cut2, cmap=plt.cm.cubehelix)\n",
+ "\n",
+ "params = fitgaussian(red_cut2)\n",
+ "fit = gaussian(*params)\n",
+ "\n",
+ "plt.contour(fit(*np.indices(red_cut2.shape)), cmap=plt.cm.copper)\n",
+ "ax = plt.gca()\n",
+ "(height, x, y, width_x, width_y) = params\n",
+ "\n",
+ "plt.text(0.95, 0.05, \"\"\"\n",
+ "x : %.1f\n",
+ "y : %.1f\n",
+ "width_x : %.1f\n",
+ "width_y : %.1f\"\"\" %(x, y, width_x, width_y),\n",
+ " fontsize=16, horizontalalignment='right',\n",
+ " verticalalignment='bottom', transform=ax.transAxes,c='white')\n",
+ "\n",
+ "FWHM_r2 = 2*np.sqrt(2*np.log(2))*width_x\n",
+ "print('El valor de FWHM es: ',np.round(FWHM_r2,2))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "El valor de FWHM es: 22.8\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 480x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# FIT IMAGEN_RED 3\n",
+ "\n",
+ "Xin, Yin = np.mgrid[0:14, 0:14]\n",
+ "data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)\n",
+ "\n",
+ "plt.matshow(red_cut3, cmap=plt.cm.cubehelix)\n",
+ "\n",
+ "params = fitgaussian(red_cut3)\n",
+ "fit = gaussian(*params)\n",
+ "\n",
+ "plt.contour(fit(*np.indices(red_cut3.shape)), cmap=plt.cm.copper)\n",
+ "ax = plt.gca()\n",
+ "(height, x, y, width_x, width_y) = params\n",
+ "\n",
+ "plt.text(0.95, 0.05, \"\"\"\n",
+ "x : %.1f\n",
+ "y : %.1f\n",
+ "width_x : %.1f\n",
+ "width_y : %.1f\"\"\" %(x, y, width_x, width_y),\n",
+ " fontsize=16, horizontalalignment='right',\n",
+ " verticalalignment='bottom', transform=ax.transAxes,c='white')\n",
+ "\n",
+ "FWHM_r3 = 2*np.sqrt(2*np.log(2))*width_x\n",
+ "print('El valor de FWHM es: ',np.round(FWHM_r3,2))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "El valor de FWHM es: 40.37\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 288x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# FIT IMAGEN_RED 4\n",
+ "\n",
+ "Xin, Yin = np.mgrid[0:20, 0:20]\n",
+ "data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)\n",
+ "\n",
+ "plt.matshow(red_cut4, cmap=plt.cm.cubehelix)\n",
+ "\n",
+ "params = fitgaussian(red_cut4)\n",
+ "fit = gaussian(*params)\n",
+ "\n",
+ "plt.contour(fit(*np.indices(red_cut4.shape)), cmap=plt.cm.copper)\n",
+ "ax = plt.gca()\n",
+ "(height, x, y, width_x, width_y) = params\n",
+ "\n",
+ "plt.text(0.95, 0.05, \"\"\"\n",
+ "x : %.1f\n",
+ "y : %.1f\n",
+ "width_x : %.1f\n",
+ "width_y : %.1f\"\"\" %(x, y, width_x, width_y),\n",
+ " fontsize=16, horizontalalignment='right',\n",
+ " verticalalignment='bottom', transform=ax.transAxes,c='white')\n",
+ "\n",
+ "FWHM_r4 = 2*np.sqrt(2*np.log(2))*width_x\n",
+ "print('El valor de FWHM es: ',np.round(FWHM_r4,2))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "El valor medio de FWHM es: 34.28\n",
+ "La mediana de FWHM es: 32.31\n",
+ "El desvÃo estándar de FWHM es: 11.26\n"
+ ]
+ },
+ {
+ "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": [
+ "FWHM_r = [FWHM_r1, FWHM_r2, FWHM_r3, FWHM_r4]\n",
+ "Media = np.round(np.mean(FWHM_r),2)\n",
+ "Mediana = np.round(np.median(FWHM_r),2)\n",
+ "Desvio = np.round(np.std(FWHM_r),2)\n",
+ "print('El valor medio de FWHM es: ', Media)\n",
+ "print('La mediana de FWHM es: ', Mediana)\n",
+ "print('El desvÃo estándar de FWHM es: ', Desvio)\n",
+ "\n",
+ "plt.hist(FWHM_r, bins = [10,20,30,40,50,60])\n",
+ "plt.title(\"Histograma Red\") \n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ " \n",
+ "\n",
+ "**Comentario**: El valor medio para el canal rojo es de 34.28, lo cual indica que el cielo posee altos valores de rojo.\n",
+ "\n",
+ " \n",
+ "\n",
+ "**Paso 9**: Se realiza el mismo proceso para el canal verde.\n",
+ "\n",
+ " "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<matplotlib.image.AxesImage at 0x7effe60c94a8>"
+ ]
+ },
+ "execution_count": 19,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "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": [
+ "image_green = np.copy(imageRGB) # creo una copia de la imagen para preservar la original\n",
+ "image_green[:,:,0]=0\n",
+ "image_green[:,:,2]=0\n",
+ "plt.title(\"Canal verde\")\n",
+ "plt.imshow(image_green)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[<matplotlib.lines.Line2D at 0x7effe5f2b978>]"
+ ]
+ },
+ "execution_count": 20,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 720x720 with 4 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "im_green = np.mean(image_green, axis = 2)\n",
+ "green_cut1 = im_green[540:570,640:680]\n",
+ "\n",
+ "max_index = np.where(green_cut1 >= np.max(green_cut1))\n",
+ "g_x01 = np.mean(max_index[1])\n",
+ "g_y01 = np.mean(max_index[0])\n",
+ "\n",
+ "green_cut2 = im_green[300:315,470:485]\n",
+ "\n",
+ "max_index = np.where(green_cut2 >= np.max(green_cut2))\n",
+ "g_x02 = np.mean(max_index[1])\n",
+ "g_y02 = np.mean(max_index[0])\n",
+ "\n",
+ "green_cut3 = im_green[310:325,615:640]\n",
+ "\n",
+ "max_index = np.where(green_cut3 >= np.max(green_cut3))\n",
+ "g_x03 = np.mean(max_index[1])\n",
+ "g_y03 = np.mean(max_index[0])\n",
+ "\n",
+ "green_cut4 = im_green[295:315,470:490]\n",
+ "\n",
+ "max_index = np.where(green_cut4 >= np.max(green_cut4))\n",
+ "g_x04 = np.mean(max_index[1])\n",
+ "g_y04 = np.mean(max_index[0])\n",
+ "\n",
+ "fig, axs = plt.subplots(2,2, figsize=(10,10))\n",
+ "axs[0,0].imshow(green_cut1)\n",
+ "axs[0,0].plot(g_x01,g_y01,c='b',marker='+',markersize = 30)\n",
+ "\n",
+ "axs[1,0].imshow(green_cut2)\n",
+ "axs[1,0].plot(g_x02,g_y02,c='b',marker='+',markersize = 30)\n",
+ "\n",
+ "axs[0,1].imshow(green_cut3)\n",
+ "axs[0,1].plot(g_x03,g_y03,c='b',marker='+',markersize = 30)\n",
+ "\n",
+ "axs[1,1].imshow(green_cut4)\n",
+ "axs[1,1].plot(g_x04,g_y04,c='b',marker='+',markersize = 30)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "El valor de FWHM es: 37.36\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 384x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# FIT IMAGEN_GREEN 1\n",
+ "\n",
+ "Xin, Yin = np.mgrid[0:30, 0:40]\n",
+ "data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)\n",
+ "\n",
+ "plt.matshow(green_cut1, cmap=plt.cm.cubehelix)\n",
+ "\n",
+ "params = fitgaussian(green_cut1)\n",
+ "fit = gaussian(*params)\n",
+ "\n",
+ "plt.contour(fit(*np.indices(green_cut1.shape)), cmap=plt.cm.copper)\n",
+ "ax = plt.gca()\n",
+ "(height, x, y, width_x, width_y) = params\n",
+ "\n",
+ "plt.text(0.95, 0.05, \"\"\"\n",
+ "x : %.1f\n",
+ "y : %.1f\n",
+ "width_x : %.1f\n",
+ "width_y : %.1f\"\"\" %(x, y, width_x, width_y),\n",
+ " fontsize=16, horizontalalignment='right',\n",
+ " verticalalignment='bottom', transform=ax.transAxes,c='white')\n",
+ "\n",
+ "FWHM_g1 = 2*np.sqrt(2*np.log(2))*width_x\n",
+ "print('El valor de FWHM es: ',np.round(FWHM_g1,2))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "El valor de FWHM es: 20.68\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 288x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# FIT IMAGEN_GREEN 2\n",
+ "\n",
+ "Xin, Yin = np.mgrid[0:15, 0:25]\n",
+ "data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)\n",
+ "\n",
+ "plt.matshow(green_cut2, cmap=plt.cm.cubehelix)\n",
+ "\n",
+ "params = fitgaussian(green_cut2)\n",
+ "fit = gaussian(*params)\n",
+ "\n",
+ "plt.contour(fit(*np.indices(green_cut2.shape)), cmap=plt.cm.copper)\n",
+ "ax = plt.gca()\n",
+ "(height, x, y, width_x, width_y) = params\n",
+ "\n",
+ "plt.text(0.95, 0.05, \"\"\"\n",
+ "x : %.1f\n",
+ "y : %.1f\n",
+ "width_x : %.1f\n",
+ "width_y : %.1f\"\"\" %(x, y, width_x, width_y),\n",
+ " fontsize=16, horizontalalignment='right',\n",
+ " verticalalignment='bottom', transform=ax.transAxes,c='white')\n",
+ "\n",
+ "FWHM_g2 = 2*np.sqrt(2*np.log(2))*width_x\n",
+ "print('El valor de FWHM es: ',np.round(FWHM_g2,2))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "El valor de FWHM es: 18.0\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 480x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# FIT IMAGEN_GREEN 3\n",
+ "\n",
+ "Xin, Yin = np.mgrid[0:14, 0:14]\n",
+ "data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)\n",
+ "\n",
+ "plt.matshow(green_cut3, cmap=plt.cm.cubehelix)\n",
+ "\n",
+ "params = fitgaussian(green_cut3)\n",
+ "fit = gaussian(*params)\n",
+ "\n",
+ "plt.contour(fit(*np.indices(green_cut3.shape)), cmap=plt.cm.copper)\n",
+ "ax = plt.gca()\n",
+ "(height, x, y, width_x, width_y) = params\n",
+ "\n",
+ "plt.text(0.95, 0.05, \"\"\"\n",
+ "x : %.1f\n",
+ "y : %.1f\n",
+ "width_x : %.1f\n",
+ "width_y : %.1f\"\"\" %(x, y, width_x, width_y),\n",
+ " fontsize=16, horizontalalignment='right',\n",
+ " verticalalignment='bottom', transform=ax.transAxes,c='white')\n",
+ "\n",
+ "FWHM_g3 = 2*np.sqrt(2*np.log(2))*width_x\n",
+ "print('El valor de FWHM es: ',np.round(FWHM_g3,2))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "El valor de FWHM es: 33.55\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 288x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# FIT IMAGEN_GREEN 4\n",
+ "\n",
+ "Xin, Yin = np.mgrid[0:20, 0:20]\n",
+ "data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)\n",
+ "\n",
+ "plt.matshow(green_cut4, cmap=plt.cm.cubehelix)\n",
+ "\n",
+ "params = fitgaussian(green_cut4)\n",
+ "fit = gaussian(*params)\n",
+ "\n",
+ "plt.contour(fit(*np.indices(green_cut4.shape)), cmap=plt.cm.copper)\n",
+ "ax = plt.gca()\n",
+ "(height, x, y, width_x, width_y) = params\n",
+ "\n",
+ "plt.text(0.95, 0.05, \"\"\"\n",
+ "x : %.1f\n",
+ "y : %.1f\n",
+ "width_x : %.1f\n",
+ "width_y : %.1f\"\"\" %(x, y, width_x, width_y),\n",
+ " fontsize=16, horizontalalignment='right',\n",
+ " verticalalignment='bottom', transform=ax.transAxes,c='white')\n",
+ "\n",
+ "FWHM_g4 = 2*np.sqrt(2*np.log(2))*width_x\n",
+ "print('El valor de FWHM es: ',np.round(FWHM_g4,2))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "El valor medio de FWHM es: 27.4\n",
+ "La mediana de FWHM es: 27.11\n",
+ "El desvÃo estándar de FWHM es: 8.22\n"
+ ]
+ },
+ {
+ "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": [
+ "FWHM_g = [FWHM_g1, FWHM_g2, FWHM_g3, FWHM_g4]\n",
+ "Media = np.round(np.mean(FWHM_g),2)\n",
+ "Mediana = np.round(np.median(FWHM_g),2)\n",
+ "Desvio = np.round(np.std(FWHM_g),2)\n",
+ "print('El valor medio de FWHM es: ', Media)\n",
+ "print('La mediana de FWHM es: ', Mediana)\n",
+ "print('El desvÃo estándar de FWHM es: ', Desvio)\n",
+ "\n",
+ "plt.hist(FWHM_g, bins = [10,20,30,40,50,60])\n",
+ "plt.title(\"Histograma Green\") \n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ " \n",
+ "\n",
+ "**Comentario**: El valor medio para el canal verde es de 27.4, un poco menor que para el color rojo.\n",
+ "\n",
+ " \n",
+ "\n",
+ "**Paso 9**: Se realiza el mismo proceso para el canal azúl.\n",
+ "\n",
+ " "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<matplotlib.image.AxesImage at 0x7effe5c60588>"
+ ]
+ },
+ "execution_count": 26,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "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": [
+ "image_blue = np.copy(imageRGB) # creo una copia de la imagen para preservar la original\n",
+ "image_blue[:,:,0]=0\n",
+ "image_blue[:,:,1]=0\n",
+ "plt.title(\"Canal azul\")\n",
+ "plt.imshow(image_blue)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[<matplotlib.lines.Line2D at 0x7effe5b08320>]"
+ ]
+ },
+ "execution_count": 27,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 720x720 with 4 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "im_blue = np.mean(image_blue, axis = 2)\n",
+ "blue_cut1 = im_green[540:570,640:680]\n",
+ "\n",
+ "max_index = np.where(blue_cut1 >= np.max(blue_cut1))\n",
+ "b_x01 = np.mean(max_index[1])\n",
+ "b_y01 = np.mean(max_index[0])\n",
+ "\n",
+ "blue_cut2 = im_blue[300:315,470:485]\n",
+ "\n",
+ "max_index = np.where(blue_cut2 >= np.max(blue_cut2))\n",
+ "b_x02 = np.mean(max_index[1])\n",
+ "b_y02 = np.mean(max_index[0])\n",
+ "\n",
+ "blue_cut3 = im_blue[310:325,615:640]\n",
+ "\n",
+ "max_index = np.where(blue_cut3 >= np.max(blue_cut3))\n",
+ "b_x03 = np.mean(max_index[1])\n",
+ "b_y03 = np.mean(max_index[0])\n",
+ "\n",
+ "blue_cut4 = im_blue[295:315,470:490]\n",
+ "\n",
+ "max_index = np.where(blue_cut4 >= np.max(blue_cut4))\n",
+ "b_x04 = np.mean(max_index[1])\n",
+ "b_y04 = np.mean(max_index[0])\n",
+ "\n",
+ "fig, axs = plt.subplots(2,2, figsize=(10,10))\n",
+ "axs[0,0].imshow(blue_cut1)\n",
+ "axs[0,0].plot(g_x01,g_y01,c='b',marker='+',markersize = 30)\n",
+ "\n",
+ "axs[1,0].imshow(blue_cut2)\n",
+ "axs[1,0].plot(g_x02,g_y02,c='b',marker='+',markersize = 30)\n",
+ "\n",
+ "axs[0,1].imshow(blue_cut3)\n",
+ "axs[0,1].plot(g_x03,g_y03,c='b',marker='+',markersize = 30)\n",
+ "\n",
+ "axs[1,1].imshow(blue_cut4)\n",
+ "axs[1,1].plot(g_x04,g_y04,c='b',marker='+',markersize = 30)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "El valor de FWHM es: 37.36\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 384x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# FIT IMAGEN_BLUE 1\n",
+ "\n",
+ "Xin, Yin = np.mgrid[0:30, 0:40]\n",
+ "data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)\n",
+ "\n",
+ "plt.matshow(blue_cut1, cmap=plt.cm.cubehelix)\n",
+ "\n",
+ "params = fitgaussian(blue_cut1)\n",
+ "fit = gaussian(*params)\n",
+ "\n",
+ "plt.contour(fit(*np.indices(blue_cut1.shape)), cmap=plt.cm.copper)\n",
+ "ax = plt.gca()\n",
+ "(height, x, y, width_x, width_y) = params\n",
+ "\n",
+ "plt.text(0.95, 0.05, \"\"\"\n",
+ "x : %.1f\n",
+ "y : %.1f\n",
+ "width_x : %.1f\n",
+ "width_y : %.1f\"\"\" %(x, y, width_x, width_y),\n",
+ " fontsize=16, horizontalalignment='right',\n",
+ " verticalalignment='bottom', transform=ax.transAxes,c='white')\n",
+ "\n",
+ "FWHM_b1 = 2*np.sqrt(2*np.log(2))*width_x\n",
+ "print('El valor de FWHM es: ',np.round(FWHM_b1,2))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "El valor de FWHM es: 16.14\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 288x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# FIT IMAGEN_BLUE 2\n",
+ "\n",
+ "Xin, Yin = np.mgrid[0:15, 0:25]\n",
+ "data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)\n",
+ "\n",
+ "plt.matshow(blue_cut2, cmap=plt.cm.cubehelix)\n",
+ "\n",
+ "params = fitgaussian(blue_cut2)\n",
+ "fit = gaussian(*params)\n",
+ "\n",
+ "plt.contour(fit(*np.indices(blue_cut2.shape)), cmap=plt.cm.copper)\n",
+ "ax = plt.gca()\n",
+ "(height, x, y, width_x, width_y) = params\n",
+ "\n",
+ "plt.text(0.95, 0.05, \"\"\"\n",
+ "x : %.1f\n",
+ "y : %.1f\n",
+ "width_x : %.1f\n",
+ "width_y : %.1f\"\"\" %(x, y, width_x, width_y),\n",
+ " fontsize=16, horizontalalignment='right',\n",
+ " verticalalignment='bottom', transform=ax.transAxes,c='white')\n",
+ "\n",
+ "FWHM_b2 = 2*np.sqrt(2*np.log(2))*width_x\n",
+ "print('El valor de FWHM es: ',np.round(FWHM_b2,2))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "El valor de FWHM es: 15.1\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 480x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# FIT IMAGEN_BLUE 3\n",
+ "\n",
+ "Xin, Yin = np.mgrid[0:14, 0:14]\n",
+ "data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)\n",
+ "\n",
+ "plt.matshow(blue_cut3, cmap=plt.cm.cubehelix)\n",
+ "\n",
+ "params = fitgaussian(blue_cut3)\n",
+ "fit = gaussian(*params)\n",
+ "\n",
+ "plt.contour(fit(*np.indices(blue_cut3.shape)), cmap=plt.cm.copper)\n",
+ "ax = plt.gca()\n",
+ "(height, x, y, width_x, width_y) = params\n",
+ "\n",
+ "plt.text(0.95, 0.05, \"\"\"\n",
+ "x : %.1f\n",
+ "y : %.1f\n",
+ "width_x : %.1f\n",
+ "width_y : %.1f\"\"\" %(x, y, width_x, width_y),\n",
+ " fontsize=16, horizontalalignment='right',\n",
+ " verticalalignment='bottom', transform=ax.transAxes,c='white')\n",
+ "\n",
+ "FWHM_b3 = 2*np.sqrt(2*np.log(2))*width_x\n",
+ "print('El valor de FWHM es: ',np.round(FWHM_b3,2))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 31,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "El valor de FWHM es: 24.69\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 288x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# FIT IMAGEN_BLUE 4\n",
+ "\n",
+ "Xin, Yin = np.mgrid[0:20, 0:20]\n",
+ "data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)\n",
+ "\n",
+ "plt.matshow(blue_cut4, cmap=plt.cm.cubehelix)\n",
+ "\n",
+ "params = fitgaussian(blue_cut4)\n",
+ "fit = gaussian(*params)\n",
+ "\n",
+ "plt.contour(fit(*np.indices(blue_cut4.shape)), cmap=plt.cm.copper)\n",
+ "ax = plt.gca()\n",
+ "(height, x, y, width_x, width_y) = params\n",
+ "\n",
+ "plt.text(0.95, 0.05, \"\"\"\n",
+ "x : %.1f\n",
+ "y : %.1f\n",
+ "width_x : %.1f\n",
+ "width_y : %.1f\"\"\" %(x, y, width_x, width_y),\n",
+ " fontsize=16, horizontalalignment='right',\n",
+ " verticalalignment='bottom', transform=ax.transAxes,c='white')\n",
+ "\n",
+ "FWHM_b4 = 2*np.sqrt(2*np.log(2))*width_x\n",
+ "print('El valor de FWHM es: ',np.round(FWHM_b4,2))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "El valor medio de FWHM es: 23.32\n",
+ "La mediana de FWHM es: 20.41\n",
+ "El desvÃo estándar de FWHM es: 8.92\n"
+ ]
+ },
+ {
+ "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": [
+ "FWHM_b = [FWHM_b1, FWHM_b2, FWHM_b3, FWHM_b4]\n",
+ "Media = np.round(np.mean(FWHM_b),2)\n",
+ "Mediana = np.round(np.median(FWHM_b),2)\n",
+ "Desvio = np.round(np.std(FWHM_b),2)\n",
+ "print('El valor medio de FWHM es: ', Media)\n",
+ "print('La mediana de FWHM es: ', Mediana)\n",
+ "print('El desvÃo estándar de FWHM es: ', Desvio)\n",
+ "\n",
+ "plt.hist(FWHM_b, bins = [10,20,30,40,50,60])\n",
+ "plt.title(\"Histograma Blue\") \n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ " \n",
+ "\n",
+ "**Comentario**: El valor medio para el canal verde es de 23.32, siento éste el menor de todos. Esto nos indica que se obtiene una mejor calidad de imagen ultizando la banda azúl."
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.7.3"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Tarea-Clase-5-Ejercicio-01.md b/Tarea-Clase-5-Ejercicio-01.md
new file mode 100644
index 0000000000000000000000000000000000000000..39f427356659841f1bef8b50c579db2fa554e932
--- /dev/null
+++ b/Tarea-Clase-5-Ejercicio-01.md
@@ -0,0 +1,1180 @@
+# Ejercicio Nº 1: Ejercicios para practicar numpy y optimización con scipy
+
+
+
+**Autor**: Nicolás Fernández Cinquepalmi
+
+
+
+**Breve descripción**: En observaciones astronómicas e imágenes en general, llamamos resolución espacial a la distancia angular minima a la que pueden estar dos fuentes puntuales de luz y aun poder ser reconocidas como objetos individuales.
+
+
+En el caso de la astronomÃa, este efecto tiene que ver con la dispersión de la luz al atravezar la atmósfera, la cual hace que una estrella, que deberÃa en principio aparecer como una fuente puntual (pues las estrellas están muy lejos), aparezca en cambio como una mancha. AsÃ, si dos estrellas están demasiado cerca sus manchas se superpondrán hasta el punto en que sea imposible distinguirlas como fuentes individuales.
+
+
+Para modelar este efecto, tÃpicamente consideramos la acción de la atmósfera como la convolución de la imagen "perfecta" (como se verÃa desde el espacio) con un kernel gaussiano. El ancho de esa función gaussiana 2D caracteriza las condiciones de observación, varÃa con las condiciones climáticas y para cada sitio de la Tierra.
+
+
+La resolución espacial normalmente se toma como el FWHM de la gaussiana caracteristica registrada durante una observación. Es decir, si dos estrellas están a una distancia aparente en el cielo menor que el FWHM del efecto atmosférico, la luz de ambas fuentes se mezclará después de la convolución hasta el punto de impedir reconocerlas de modo individual.
+
+
+Además, la atmósfera puede interactuar de maneras distintas con la luz de distintas longitudes de onda, de manera que el ancho de la gaussiana puede ser distinto para observaciones con diferentes filtros.
+
+
+El objetivo de esta tarea es medir de forma aproximada la resolución espacial en una noche de observación en Zapatoca, Santander (Colombia), a partir de una foto del cielo estrellado.
+
+
+
+**Paso 1**: Comenzamos con importar los módulos necesarios para este trabajo.
+
+
+```python
+import matplotlib.pyplot as plt
+import numpy as np
+from matplotlib import image
+from matplotlib import pyplot
+from PIL import Image
+from scipy import optimize
+from matplotlib.pyplot import figure
+```
+
+
+
+
+**Paso 2**: Cargamos la imagen desde su ubicación en el repositorio.
+
+
+
+
+
+```python
+imageRGB = image.imread('/home/fernandezn/ejercicios-clase-05-datos/data/zapatocaImage.jpeg')/255
+print("Dimensiones de la imagen:")
+print(imageRGB.shape)
+print("Dtype:")
+print(imageRGB.dtype)
+```
+
+ Dimensiones de la imagen:
+ (789, 1184, 3)
+ Dtype:
+ float64
+
+
+
+```python
+pyplot.imshow(imageRGB)
+pyplot.show()
+```
+
+
+
+
+
+
+
+
+
+
+**Paso 3**: Convertimos la imagen RGB en escala de grises haciendo un promedio de los 3 canales.
+
+
+
+
+
+```python
+im_gray = np.mean(imageRGB, axis = 2)
+plt.imshow(im_gray, cmap='gray')
+```
+
+
+
+
+ <matplotlib.image.AxesImage at 0x7effe9c67048>
+
+
+
+
+
+
+
+
+
+
+
+
+**Paso 4**: Realizamos cortes de la imagen, localizados en una estrella particular. Luego calculamos los centros para localizarlos en la imagen.
+
+
+
+
+
+```python
+im_cut1 = im_gray[540:570,640:680]
+
+max_index = np.where(im_cut1 >= np.max(im_cut1))
+x01 = np.mean(max_index[1])
+y01 = np.mean(max_index[0])
+
+im_cut2 = im_gray[300:315,470:485]
+
+max_index = np.where(im_cut2 >= np.max(im_cut2))
+x02 = np.mean(max_index[1])
+y02 = np.mean(max_index[0])
+
+im_cut3 = im_gray[310:325,615:640]
+
+max_index = np.where(im_cut3 >= np.max(im_cut3))
+x03 = np.mean(max_index[1])
+y03 = np.mean(max_index[0])
+
+im_cut4 = im_gray[295:315,470:490]
+
+max_index = np.where(im_cut4 >= np.max(im_cut4))
+x04 = np.mean(max_index[1])
+y04 = np.mean(max_index[0])
+
+fig, axs = plt.subplots(2,2, figsize=(10,10))
+axs[0,0].imshow(im_cut1, cmap='gray')
+axs[0,0].plot(x01,y01,c='r',marker='+',markersize = 30)
+
+axs[1,0].imshow(im_cut2, cmap='gray')
+axs[1,0].plot(x02,y02,c='r',marker='+',markersize = 30)
+
+axs[0,1].imshow(im_cut3, cmap='gray')
+axs[0,1].plot(x03,y03,c='r',marker='+',markersize = 30)
+
+axs[1,1].imshow(im_cut4, cmap='gray')
+axs[1,1].plot(x04,y04,c='r',marker='+',markersize = 30)
+```
+
+
+
+
+ [<matplotlib.lines.Line2D at 0x7effe9b9a710>]
+
+
+
+
+
+
+
+
+
+
+
+
+**Paso 5**: Definimos la función gaussiana 2D, la función de los momentos estadÃsticos y la función para realizar el ajuste.
+
+
+
+
+
+```python
+def gaussian(height, center_x, center_y, width_x, width_y):
+ """Returns a gaussian function with the given parameters"""
+ width_x = float(width_x)
+ width_y = float(width_y)
+ return lambda x,y: height*np.exp(
+ -(((center_x-x)/width_x)**2+((center_y-y)/width_y)**2)/2)
+
+def moments(data):
+ """Returns (height, x, y, width_x, width_y)
+ the gaussian parameters of a 2D distribution by calculating its
+ moments """
+ total = data.sum()
+ X, Y = np.indices(data.shape)
+ x = (X*data).sum()/total
+ y = (Y*data).sum()/total
+ col = data[:, int(y)]
+ width_x = np.sqrt(np.abs((np.arange(col.size)-x)**2*col).sum()/col.sum())
+ row = data[int(x), :]
+ width_y = np.sqrt(np.abs((np.arange(row.size)-y)**2*row).sum()/row.sum())
+ height = data.max()
+ return height, x, y, width_x, width_y
+
+def fitgaussian(data):
+ """Returns (height, x, y, width_x, width_y)
+ the gaussian parameters of a 2D distribution found by a fit"""
+ params = moments(data)
+ errorfunction = lambda p: np.ravel(gaussian(*p)(*np.indices(data.shape)) - data)
+ p, success = optimize.leastsq(errorfunction, params)
+ return p
+```
+
+
+
+
+**Paso 6**: Realizamos el ajuste gaussiano para cada corte y calculamos su valor de FWHM.
+
+
+
+
+
+```python
+# FIT IMAGEN 1
+
+Xin, Yin = np.mgrid[0:30, 0:40]
+data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)
+
+plt.matshow(im_cut1, cmap=plt.cm.cubehelix)
+
+params = fitgaussian(im_cut1)
+fit = gaussian(*params)
+
+plt.contour(fit(*np.indices(im_cut1.shape)), cmap=plt.cm.copper)
+ax = plt.gca()
+(height, x, y, width_x, width_y) = params
+
+plt.text(0.95, 0.05, """
+x : %.1f
+y : %.1f
+width_x : %.1f
+width_y : %.1f""" %(x, y, width_x, width_y),
+ fontsize=16, horizontalalignment='right',
+ verticalalignment='bottom', transform=ax.transAxes,c='white')
+
+FWHM1 = 2*np.sqrt(2*np.log(2))*width_x
+print('El valor de FWHM es: ',np.round(FWHM1,2))
+```
+
+ El valor de FWHM es: 37.85
+
+
+
+
+
+
+
+
+
+```python
+# FIT IMAGEN 2
+
+Xin, Yin = np.mgrid[0:15, 0:25]
+data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)
+
+plt.matshow(im_cut2, cmap=plt.cm.cubehelix)
+
+params = fitgaussian(im_cut2)
+fit = gaussian(*params)
+
+plt.contour(fit(*np.indices(im_cut2.shape)), cmap=plt.cm.copper)
+ax = plt.gca()
+(height, x, y, width_x, width_y) = params
+
+plt.text(0.95, 0.05, """
+x : %.1f
+y : %.1f
+width_x : %.1f
+width_y : %.1f""" %(x, y, width_x, width_y),
+ fontsize=16, horizontalalignment='right',
+ verticalalignment='bottom', transform=ax.transAxes,c='white')
+
+FWHM2 = 2*np.sqrt(2*np.log(2))*width_x
+print('El valor de FWHM es: ',np.round(FWHM2,2))
+```
+
+ El valor de FWHM es: 20.08
+
+
+
+
+
+
+
+
+
+```python
+# FIT IMAGEN 3
+
+Xin, Yin = np.mgrid[0:14, 0:14]
+data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)
+
+plt.matshow(im_cut3, cmap=plt.cm.cubehelix)
+
+params = fitgaussian(im_cut3)
+fit = gaussian(*params)
+
+plt.contour(fit(*np.indices(im_cut3.shape)), cmap=plt.cm.copper)
+ax = plt.gca()
+(height, x, y, width_x, width_y) = params
+
+plt.text(0.95, 0.05, """
+x : %.1f
+y : %.1f
+width_x : %.1f
+width_y : %.1f""" %(x, y, width_x, width_y),
+ fontsize=16, horizontalalignment='right',
+ verticalalignment='bottom', transform=ax.transAxes,c='white')
+
+FWHM3 = 2*np.sqrt(2*np.log(2))*width_x
+print('El valor de FWHM es: ',np.round(FWHM3,2))
+```
+
+ El valor de FWHM es: 18.3
+
+
+
+
+
+
+
+
+
+```python
+# FIT IMAGEN 4
+
+Xin, Yin = np.mgrid[0:20, 0:20]
+data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)
+
+plt.matshow(im_cut4, cmap=plt.cm.cubehelix)
+
+params = fitgaussian(im_cut4)
+fit = gaussian(*params)
+
+plt.contour(fit(*np.indices(im_cut4.shape)), cmap=plt.cm.copper)
+ax = plt.gca()
+(height, x, y, width_x, width_y) = params
+
+plt.text(0.95, 0.05, """
+x : %.1f
+y : %.1f
+width_x : %.1f
+width_y : %.1f""" %(x, y, width_x, width_y),
+ fontsize=16, horizontalalignment='right',
+ verticalalignment='bottom', transform=ax.transAxes,c='white')
+
+FWHM4 = 2*np.sqrt(2*np.log(2))*width_x
+print('El valor de FWHM es: ',np.round(FWHM4,2))
+```
+
+ El valor de FWHM es: 32.03
+
+
+
+
+
+
+
+
+
+
+
+**Paso 7**: Calculamos el valor medio, mediana y desvÃo estandar de los FWHM obtenidos para los cortes realizados. Por último, realizamos un histograma.
+
+
+
+
+
+```python
+FWHM = [FWHM1, FWHM2, FWHM3, FWHM4]
+Media = np.round(np.mean(FWHM),2)
+Mediana = np.round(np.median(FWHM),2)
+Desvio = np.round(np.std(FWHM),2)
+print('El valor medio de FWHM es: ', Media)
+print('La mediana de FWHM es: ', Mediana)
+print('El desvÃo estándar de FWHM es: ', Desvio)
+
+plt.hist(FWHM, bins = [0,10,20,30,40,50])
+plt.title("Histograma Gray")
+plt.show()
+```
+
+ El valor medio de FWHM es: 27.06
+ La mediana de FWHM es: 26.05
+ El desvÃo estándar de FWHM es: 8.16
+
+
+
+
+
+
+
+
+
+
+
+**Comentario**: Cuanto menor sea el FWHM de tu fotografÃa mejor, ya que esto indica que la luz está más concentrada en el punto de origen que la causa y menos desparramada por los pÃxeles adyacentes. En este caso el valor medio es de 27.06.
+
+
+
+
+**Paso 8**: Realizamos el ajuste gaussiano, de la misma forma pero ahora con el canal rojo.
+
+
+
+
+
+```python
+image_red = np.copy(imageRGB) # creo una copia de la imagen para preservar la original
+image_red[:,:,1]=0
+image_red[:,:,2]=0
+plt.title("Canal rojo")
+plt.imshow(image_red)
+```
+
+
+
+
+ <matplotlib.image.AxesImage at 0x7effe61bdba8>
+
+
+
+
+
+
+
+
+
+
+```python
+im_red = np.mean(image_red, axis = 2)
+red_cut1 = im_red[540:570,640:680]
+
+max_index = np.where(red_cut1 >= np.max(red_cut1))
+r_x01 = np.mean(max_index[1])
+r_y01 = np.mean(max_index[0])
+
+red_cut2 = im_red[300:315,470:485]
+
+max_index = np.where(red_cut2 >= np.max(red_cut2))
+r_x02 = np.mean(max_index[1])
+r_y02 = np.mean(max_index[0])
+
+red_cut3 = im_red[310:325,615:640]
+
+max_index = np.where(red_cut3 >= np.max(red_cut3))
+r_x03 = np.mean(max_index[1])
+r_y03 = np.mean(max_index[0])
+
+red_cut4 = im_red[295:315,470:490]
+
+max_index = np.where(red_cut4 >= np.max(red_cut4))
+r_x04 = np.mean(max_index[1])
+r_y04 = np.mean(max_index[0])
+
+fig, axs = plt.subplots(2,2, figsize=(10,10))
+axs[0,0].imshow(red_cut1)
+axs[0,0].plot(r_x01,r_y01,c='b',marker='+',markersize = 30)
+
+axs[1,0].imshow(red_cut2)
+axs[1,0].plot(r_x02,r_y02,c='b',marker='+',markersize = 30)
+
+axs[0,1].imshow(red_cut3)
+axs[0,1].plot(r_x03,r_y03,c='b',marker='+',markersize = 30)
+
+axs[1,1].imshow(red_cut4)
+axs[1,1].plot(r_x04,r_y04,c='b',marker='+',markersize = 30)
+```
+
+
+
+
+ [<matplotlib.lines.Line2D at 0x7effe60763c8>]
+
+
+
+
+
+
+
+
+
+
+```python
+# FIT IMAGEN_RED 1
+
+Xin, Yin = np.mgrid[0:30, 0:40]
+data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)
+
+plt.matshow(red_cut1, cmap=plt.cm.cubehelix)
+
+params = fitgaussian(red_cut1)
+fit = gaussian(*params)
+
+plt.contour(fit(*np.indices(red_cut1.shape)), cmap=plt.cm.copper)
+ax = plt.gca()
+(height, x, y, width_x, width_y) = params
+
+plt.text(0.95, 0.05, """
+x : %.1f
+y : %.1f
+width_x : %.1f
+width_y : %.1f""" %(x, y, width_x, width_y),
+ fontsize=16, horizontalalignment='right',
+ verticalalignment='bottom', transform=ax.transAxes,c='white')
+
+FWHM_r1 = 2*np.sqrt(2*np.log(2))*width_x
+print('El valor de FWHM es: ',np.round(FWHM_r1,2))
+```
+
+ El valor de FWHM es: 49.7
+
+
+
+
+
+
+
+
+
+```python
+# FIT IMAGEN_RED 2
+
+Xin, Yin = np.mgrid[0:15, 0:25]
+data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)
+
+plt.matshow(red_cut2, cmap=plt.cm.cubehelix)
+
+params = fitgaussian(red_cut2)
+fit = gaussian(*params)
+
+plt.contour(fit(*np.indices(red_cut2.shape)), cmap=plt.cm.copper)
+ax = plt.gca()
+(height, x, y, width_x, width_y) = params
+
+plt.text(0.95, 0.05, """
+x : %.1f
+y : %.1f
+width_x : %.1f
+width_y : %.1f""" %(x, y, width_x, width_y),
+ fontsize=16, horizontalalignment='right',
+ verticalalignment='bottom', transform=ax.transAxes,c='white')
+
+FWHM_r2 = 2*np.sqrt(2*np.log(2))*width_x
+print('El valor de FWHM es: ',np.round(FWHM_r2,2))
+```
+
+ El valor de FWHM es: 24.24
+
+
+
+
+
+
+
+
+
+```python
+# FIT IMAGEN_RED 3
+
+Xin, Yin = np.mgrid[0:14, 0:14]
+data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)
+
+plt.matshow(red_cut3, cmap=plt.cm.cubehelix)
+
+params = fitgaussian(red_cut3)
+fit = gaussian(*params)
+
+plt.contour(fit(*np.indices(red_cut3.shape)), cmap=plt.cm.copper)
+ax = plt.gca()
+(height, x, y, width_x, width_y) = params
+
+plt.text(0.95, 0.05, """
+x : %.1f
+y : %.1f
+width_x : %.1f
+width_y : %.1f""" %(x, y, width_x, width_y),
+ fontsize=16, horizontalalignment='right',
+ verticalalignment='bottom', transform=ax.transAxes,c='white')
+
+FWHM_r3 = 2*np.sqrt(2*np.log(2))*width_x
+print('El valor de FWHM es: ',np.round(FWHM_r3,2))
+```
+
+ El valor de FWHM es: 22.8
+
+
+
+
+
+
+
+
+
+```python
+# FIT IMAGEN_RED 4
+
+Xin, Yin = np.mgrid[0:20, 0:20]
+data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)
+
+plt.matshow(red_cut4, cmap=plt.cm.cubehelix)
+
+params = fitgaussian(red_cut4)
+fit = gaussian(*params)
+
+plt.contour(fit(*np.indices(red_cut4.shape)), cmap=plt.cm.copper)
+ax = plt.gca()
+(height, x, y, width_x, width_y) = params
+
+plt.text(0.95, 0.05, """
+x : %.1f
+y : %.1f
+width_x : %.1f
+width_y : %.1f""" %(x, y, width_x, width_y),
+ fontsize=16, horizontalalignment='right',
+ verticalalignment='bottom', transform=ax.transAxes,c='white')
+
+FWHM_r4 = 2*np.sqrt(2*np.log(2))*width_x
+print('El valor de FWHM es: ',np.round(FWHM_r4,2))
+```
+
+ El valor de FWHM es: 40.37
+
+
+
+
+
+
+
+
+
+```python
+FWHM_r = [FWHM_r1, FWHM_r2, FWHM_r3, FWHM_r4]
+Media = np.round(np.mean(FWHM_r),2)
+Mediana = np.round(np.median(FWHM_r),2)
+Desvio = np.round(np.std(FWHM_r),2)
+print('El valor medio de FWHM es: ', Media)
+print('La mediana de FWHM es: ', Mediana)
+print('El desvÃo estándar de FWHM es: ', Desvio)
+
+plt.hist(FWHM_r, bins = [10,20,30,40,50,60])
+plt.title("Histograma Red")
+plt.show()
+```
+
+ El valor medio de FWHM es: 34.28
+ La mediana de FWHM es: 32.31
+ El desvÃo estándar de FWHM es: 11.26
+
+
+
+
+
+
+
+
+
+
+**Comentario**: El valor medio para el canal rojo es de 34.28, lo cual indica que el cielo posee altos valores de rojo.
+
+
+
+**Paso 9**: Se realiza el mismo proceso para el canal verde.
+
+
+
+
+```python
+image_green = np.copy(imageRGB) # creo una copia de la imagen para preservar la original
+image_green[:,:,0]=0
+image_green[:,:,2]=0
+plt.title("Canal verde")
+plt.imshow(image_green)
+```
+
+
+
+
+ <matplotlib.image.AxesImage at 0x7effe60c94a8>
+
+
+
+
+
+
+
+
+
+
+```python
+im_green = np.mean(image_green, axis = 2)
+green_cut1 = im_green[540:570,640:680]
+
+max_index = np.where(green_cut1 >= np.max(green_cut1))
+g_x01 = np.mean(max_index[1])
+g_y01 = np.mean(max_index[0])
+
+green_cut2 = im_green[300:315,470:485]
+
+max_index = np.where(green_cut2 >= np.max(green_cut2))
+g_x02 = np.mean(max_index[1])
+g_y02 = np.mean(max_index[0])
+
+green_cut3 = im_green[310:325,615:640]
+
+max_index = np.where(green_cut3 >= np.max(green_cut3))
+g_x03 = np.mean(max_index[1])
+g_y03 = np.mean(max_index[0])
+
+green_cut4 = im_green[295:315,470:490]
+
+max_index = np.where(green_cut4 >= np.max(green_cut4))
+g_x04 = np.mean(max_index[1])
+g_y04 = np.mean(max_index[0])
+
+fig, axs = plt.subplots(2,2, figsize=(10,10))
+axs[0,0].imshow(green_cut1)
+axs[0,0].plot(g_x01,g_y01,c='b',marker='+',markersize = 30)
+
+axs[1,0].imshow(green_cut2)
+axs[1,0].plot(g_x02,g_y02,c='b',marker='+',markersize = 30)
+
+axs[0,1].imshow(green_cut3)
+axs[0,1].plot(g_x03,g_y03,c='b',marker='+',markersize = 30)
+
+axs[1,1].imshow(green_cut4)
+axs[1,1].plot(g_x04,g_y04,c='b',marker='+',markersize = 30)
+```
+
+
+
+
+ [<matplotlib.lines.Line2D at 0x7effe5f2b978>]
+
+
+
+
+
+
+
+
+
+
+```python
+# FIT IMAGEN_GREEN 1
+
+Xin, Yin = np.mgrid[0:30, 0:40]
+data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)
+
+plt.matshow(green_cut1, cmap=plt.cm.cubehelix)
+
+params = fitgaussian(green_cut1)
+fit = gaussian(*params)
+
+plt.contour(fit(*np.indices(green_cut1.shape)), cmap=plt.cm.copper)
+ax = plt.gca()
+(height, x, y, width_x, width_y) = params
+
+plt.text(0.95, 0.05, """
+x : %.1f
+y : %.1f
+width_x : %.1f
+width_y : %.1f""" %(x, y, width_x, width_y),
+ fontsize=16, horizontalalignment='right',
+ verticalalignment='bottom', transform=ax.transAxes,c='white')
+
+FWHM_g1 = 2*np.sqrt(2*np.log(2))*width_x
+print('El valor de FWHM es: ',np.round(FWHM_g1,2))
+```
+
+ El valor de FWHM es: 37.36
+
+
+
+
+
+
+
+
+
+```python
+# FIT IMAGEN_GREEN 2
+
+Xin, Yin = np.mgrid[0:15, 0:25]
+data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)
+
+plt.matshow(green_cut2, cmap=plt.cm.cubehelix)
+
+params = fitgaussian(green_cut2)
+fit = gaussian(*params)
+
+plt.contour(fit(*np.indices(green_cut2.shape)), cmap=plt.cm.copper)
+ax = plt.gca()
+(height, x, y, width_x, width_y) = params
+
+plt.text(0.95, 0.05, """
+x : %.1f
+y : %.1f
+width_x : %.1f
+width_y : %.1f""" %(x, y, width_x, width_y),
+ fontsize=16, horizontalalignment='right',
+ verticalalignment='bottom', transform=ax.transAxes,c='white')
+
+FWHM_g2 = 2*np.sqrt(2*np.log(2))*width_x
+print('El valor de FWHM es: ',np.round(FWHM_g2,2))
+```
+
+ El valor de FWHM es: 20.68
+
+
+
+
+
+
+
+
+
+```python
+# FIT IMAGEN_GREEN 3
+
+Xin, Yin = np.mgrid[0:14, 0:14]
+data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)
+
+plt.matshow(green_cut3, cmap=plt.cm.cubehelix)
+
+params = fitgaussian(green_cut3)
+fit = gaussian(*params)
+
+plt.contour(fit(*np.indices(green_cut3.shape)), cmap=plt.cm.copper)
+ax = plt.gca()
+(height, x, y, width_x, width_y) = params
+
+plt.text(0.95, 0.05, """
+x : %.1f
+y : %.1f
+width_x : %.1f
+width_y : %.1f""" %(x, y, width_x, width_y),
+ fontsize=16, horizontalalignment='right',
+ verticalalignment='bottom', transform=ax.transAxes,c='white')
+
+FWHM_g3 = 2*np.sqrt(2*np.log(2))*width_x
+print('El valor de FWHM es: ',np.round(FWHM_g3,2))
+```
+
+ El valor de FWHM es: 18.0
+
+
+
+
+
+
+
+
+
+```python
+# FIT IMAGEN_GREEN 4
+
+Xin, Yin = np.mgrid[0:20, 0:20]
+data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)
+
+plt.matshow(green_cut4, cmap=plt.cm.cubehelix)
+
+params = fitgaussian(green_cut4)
+fit = gaussian(*params)
+
+plt.contour(fit(*np.indices(green_cut4.shape)), cmap=plt.cm.copper)
+ax = plt.gca()
+(height, x, y, width_x, width_y) = params
+
+plt.text(0.95, 0.05, """
+x : %.1f
+y : %.1f
+width_x : %.1f
+width_y : %.1f""" %(x, y, width_x, width_y),
+ fontsize=16, horizontalalignment='right',
+ verticalalignment='bottom', transform=ax.transAxes,c='white')
+
+FWHM_g4 = 2*np.sqrt(2*np.log(2))*width_x
+print('El valor de FWHM es: ',np.round(FWHM_g4,2))
+```
+
+ El valor de FWHM es: 33.55
+
+
+
+
+
+
+
+
+
+```python
+FWHM_g = [FWHM_g1, FWHM_g2, FWHM_g3, FWHM_g4]
+Media = np.round(np.mean(FWHM_g),2)
+Mediana = np.round(np.median(FWHM_g),2)
+Desvio = np.round(np.std(FWHM_g),2)
+print('El valor medio de FWHM es: ', Media)
+print('La mediana de FWHM es: ', Mediana)
+print('El desvÃo estándar de FWHM es: ', Desvio)
+
+plt.hist(FWHM_g, bins = [10,20,30,40,50,60])
+plt.title("Histograma Green")
+plt.show()
+```
+
+ El valor medio de FWHM es: 27.4
+ La mediana de FWHM es: 27.11
+ El desvÃo estándar de FWHM es: 8.22
+
+
+
+
+
+
+
+
+
+
+**Comentario**: El valor medio para el canal verde es de 27.4, un poco menor que para el color rojo.
+
+
+
+**Paso 9**: Se realiza el mismo proceso para el canal azúl.
+
+
+
+
+```python
+image_blue = np.copy(imageRGB) # creo una copia de la imagen para preservar la original
+image_blue[:,:,0]=0
+image_blue[:,:,1]=0
+plt.title("Canal azul")
+plt.imshow(image_blue)
+```
+
+
+
+
+ <matplotlib.image.AxesImage at 0x7effe5c60588>
+
+
+
+
+
+
+
+
+
+
+```python
+im_blue = np.mean(image_blue, axis = 2)
+blue_cut1 = im_green[540:570,640:680]
+
+max_index = np.where(blue_cut1 >= np.max(blue_cut1))
+b_x01 = np.mean(max_index[1])
+b_y01 = np.mean(max_index[0])
+
+blue_cut2 = im_blue[300:315,470:485]
+
+max_index = np.where(blue_cut2 >= np.max(blue_cut2))
+b_x02 = np.mean(max_index[1])
+b_y02 = np.mean(max_index[0])
+
+blue_cut3 = im_blue[310:325,615:640]
+
+max_index = np.where(blue_cut3 >= np.max(blue_cut3))
+b_x03 = np.mean(max_index[1])
+b_y03 = np.mean(max_index[0])
+
+blue_cut4 = im_blue[295:315,470:490]
+
+max_index = np.where(blue_cut4 >= np.max(blue_cut4))
+b_x04 = np.mean(max_index[1])
+b_y04 = np.mean(max_index[0])
+
+fig, axs = plt.subplots(2,2, figsize=(10,10))
+axs[0,0].imshow(blue_cut1)
+axs[0,0].plot(g_x01,g_y01,c='b',marker='+',markersize = 30)
+
+axs[1,0].imshow(blue_cut2)
+axs[1,0].plot(g_x02,g_y02,c='b',marker='+',markersize = 30)
+
+axs[0,1].imshow(blue_cut3)
+axs[0,1].plot(g_x03,g_y03,c='b',marker='+',markersize = 30)
+
+axs[1,1].imshow(blue_cut4)
+axs[1,1].plot(g_x04,g_y04,c='b',marker='+',markersize = 30)
+```
+
+
+
+
+ [<matplotlib.lines.Line2D at 0x7effe5b08320>]
+
+
+
+
+
+
+
+
+
+
+```python
+# FIT IMAGEN_BLUE 1
+
+Xin, Yin = np.mgrid[0:30, 0:40]
+data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)
+
+plt.matshow(blue_cut1, cmap=plt.cm.cubehelix)
+
+params = fitgaussian(blue_cut1)
+fit = gaussian(*params)
+
+plt.contour(fit(*np.indices(blue_cut1.shape)), cmap=plt.cm.copper)
+ax = plt.gca()
+(height, x, y, width_x, width_y) = params
+
+plt.text(0.95, 0.05, """
+x : %.1f
+y : %.1f
+width_x : %.1f
+width_y : %.1f""" %(x, y, width_x, width_y),
+ fontsize=16, horizontalalignment='right',
+ verticalalignment='bottom', transform=ax.transAxes,c='white')
+
+FWHM_b1 = 2*np.sqrt(2*np.log(2))*width_x
+print('El valor de FWHM es: ',np.round(FWHM_b1,2))
+```
+
+ El valor de FWHM es: 37.36
+
+
+
+
+
+
+
+
+
+```python
+# FIT IMAGEN_BLUE 2
+
+Xin, Yin = np.mgrid[0:15, 0:25]
+data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)
+
+plt.matshow(blue_cut2, cmap=plt.cm.cubehelix)
+
+params = fitgaussian(blue_cut2)
+fit = gaussian(*params)
+
+plt.contour(fit(*np.indices(blue_cut2.shape)), cmap=plt.cm.copper)
+ax = plt.gca()
+(height, x, y, width_x, width_y) = params
+
+plt.text(0.95, 0.05, """
+x : %.1f
+y : %.1f
+width_x : %.1f
+width_y : %.1f""" %(x, y, width_x, width_y),
+ fontsize=16, horizontalalignment='right',
+ verticalalignment='bottom', transform=ax.transAxes,c='white')
+
+FWHM_b2 = 2*np.sqrt(2*np.log(2))*width_x
+print('El valor de FWHM es: ',np.round(FWHM_b2,2))
+```
+
+ El valor de FWHM es: 16.14
+
+
+
+
+
+
+
+
+
+```python
+# FIT IMAGEN_BLUE 3
+
+Xin, Yin = np.mgrid[0:14, 0:14]
+data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)
+
+plt.matshow(blue_cut3, cmap=plt.cm.cubehelix)
+
+params = fitgaussian(blue_cut3)
+fit = gaussian(*params)
+
+plt.contour(fit(*np.indices(blue_cut3.shape)), cmap=plt.cm.copper)
+ax = plt.gca()
+(height, x, y, width_x, width_y) = params
+
+plt.text(0.95, 0.05, """
+x : %.1f
+y : %.1f
+width_x : %.1f
+width_y : %.1f""" %(x, y, width_x, width_y),
+ fontsize=16, horizontalalignment='right',
+ verticalalignment='bottom', transform=ax.transAxes,c='white')
+
+FWHM_b3 = 2*np.sqrt(2*np.log(2))*width_x
+print('El valor de FWHM es: ',np.round(FWHM_b3,2))
+```
+
+ El valor de FWHM es: 15.1
+
+
+
+
+
+
+
+
+
+```python
+# FIT IMAGEN_BLUE 4
+
+Xin, Yin = np.mgrid[0:20, 0:20]
+data = gaussian(3, 100, 100, 20, 40)(Xin, Yin) + np.random.random(Xin.shape)
+
+plt.matshow(blue_cut4, cmap=plt.cm.cubehelix)
+
+params = fitgaussian(blue_cut4)
+fit = gaussian(*params)
+
+plt.contour(fit(*np.indices(blue_cut4.shape)), cmap=plt.cm.copper)
+ax = plt.gca()
+(height, x, y, width_x, width_y) = params
+
+plt.text(0.95, 0.05, """
+x : %.1f
+y : %.1f
+width_x : %.1f
+width_y : %.1f""" %(x, y, width_x, width_y),
+ fontsize=16, horizontalalignment='right',
+ verticalalignment='bottom', transform=ax.transAxes,c='white')
+
+FWHM_b4 = 2*np.sqrt(2*np.log(2))*width_x
+print('El valor de FWHM es: ',np.round(FWHM_b4,2))
+```
+
+ El valor de FWHM es: 24.69
+
+
+
+
+
+
+
+
+
+```python
+FWHM_b = [FWHM_b1, FWHM_b2, FWHM_b3, FWHM_b4]
+Media = np.round(np.mean(FWHM_b),2)
+Mediana = np.round(np.median(FWHM_b),2)
+Desvio = np.round(np.std(FWHM_b),2)
+print('El valor medio de FWHM es: ', Media)
+print('La mediana de FWHM es: ', Mediana)
+print('El desvÃo estándar de FWHM es: ', Desvio)
+
+plt.hist(FWHM_b, bins = [10,20,30,40,50,60])
+plt.title("Histograma Blue")
+plt.show()
+```
+
+ El valor medio de FWHM es: 23.32
+ La mediana de FWHM es: 20.41
+ El desvÃo estándar de FWHM es: 8.92
+
+
+
+
+
+
+
+
+
+
+**Comentario**: El valor medio para el canal verde es de 23.32, siento éste el menor de todos. Esto nos indica que se obtiene una mejor calidad de imagen ultizando la banda azúl.
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