{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Display of MCMC samples\n", "\n", "[Data set download](https://s3.amazonaws.com/bebi103.caltech.edu/data/good_invitro_droplet_data.csv)\n", "\n", "
" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "nbsphinx": "hidden", "tags": [] }, "outputs": [], "source": [ "# Colab setup ------------------\n", "import os, sys, subprocess\n", "if \"google.colab\" in sys.modules:\n", " cmd = \"pip install --upgrade iqplot colorcet bebi103 arviz cmdstanpy watermark\"\n", " process = subprocess.Popen(cmd.split(), stdout=subprocess.PIPE, stderr=subprocess.PIPE)\n", " stdout, stderr = process.communicate()\n", " import cmdstanpy; cmdstanpy.install_cmdstan()\n", " data_path = \"https://s3.amazonaws.com/bebi103.caltech.edu/data/\"\n", "else:\n", " data_path = \"../data/\"\n", "# ------------------------------" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/bois/opt/anaconda3/lib/python3.9/site-packages/colorcet/__init__.py:74: UserWarning: Trying to register the cmap 'cet_gray' which already exists.\n", " register_cmap(\"cet_\"+name, cmap=cm[name])\n", "/Users/bois/opt/anaconda3/lib/python3.9/site-packages/colorcet/__init__.py:74: UserWarning: Trying to register the cmap 'cet_gray_r' which already exists.\n", " register_cmap(\"cet_\"+name, cmap=cm[name])\n" ] }, { "data": { "application/javascript": [ "\n", "(function(root) {\n", " function now() {\n", " return new Date();\n", " }\n", "\n", " var force = true;\n", "\n", " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", " root._bokeh_onload_callbacks = [];\n", " root._bokeh_is_loading = undefined;\n", " }\n", "\n", " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", " }\n", "\n", " function run_callbacks() {\n", " try {\n", " root._bokeh_onload_callbacks.forEach(function(callback) {\n", " if (callback != null)\n", " callback();\n", " });\n", " } finally {\n", " delete root._bokeh_onload_callbacks\n", " }\n", " console.debug(\"Bokeh: all callbacks have finished\");\n", " }\n", "\n", " function load_libs(css_urls, js_urls, js_modules, callback) {\n", " if (css_urls == null) css_urls = [];\n", " if (js_urls == null) js_urls = [];\n", " if (js_modules == null) js_modules = [];\n", "\n", " root._bokeh_onload_callbacks.push(callback);\n", " if (root._bokeh_is_loading > 0) {\n", " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", " return null;\n", " }\n", " if (js_urls.length === 0 && js_modules.length === 0) {\n", " run_callbacks();\n", " return null;\n", " }\n", " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", " root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length;\n", "\n", " function on_load() {\n", " root._bokeh_is_loading--;\n", " if (root._bokeh_is_loading === 0) {\n", " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", " run_callbacks()\n", " }\n", " }\n", "\n", " function on_error() {\n", " console.error(\"failed to load \" + url);\n", " }\n", "\n", " for (var i = 0; i < css_urls.length; i++) {\n", " var url = css_urls[i];\n", " const element = document.createElement(\"link\");\n", " element.onload = on_load;\n", " element.onerror = on_error;\n", " element.rel = \"stylesheet\";\n", " element.type = \"text/css\";\n", " element.href = url;\n", " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", " document.body.appendChild(element);\n", " }\n", "\n", " var skip = [];\n", " if (window.requirejs) {\n", " window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n", " \n", " }\n", " for (var i = 0; i < js_urls.length; i++) {\n", " var url = js_urls[i];\n", " if (skip.indexOf(url) >= 0) { on_load(); continue; }\n", " var element = document.createElement('script');\n", " element.onload = on_load;\n", " element.onerror = on_error;\n", " element.async = false;\n", " element.src = url;\n", " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", " document.head.appendChild(element);\n", " }\n", " for (var i = 0; i < js_modules.length; i++) {\n", " var url = js_modules[i];\n", " if (skip.indexOf(url) >= 0) { on_load(); continue; }\n", " var element = document.createElement('script');\n", " element.onload = on_load;\n", " element.onerror = on_error;\n", " element.async = false;\n", " element.src = url;\n", " element.type = \"module\";\n", " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", " document.head.appendChild(element);\n", " }\n", " if (!js_urls.length && !js_modules.length) {\n", " on_load()\n", " }\n", " };\n", "\n", " function inject_raw_css(css) {\n", " const element = document.createElement(\"style\");\n", " element.appendChild(document.createTextNode(css));\n", " document.body.appendChild(element);\n", " }\n", "\n", " var js_urls = [];\n", " var js_modules = [];\n", " var css_urls = [];\n", " var inline_js = [\n", " function(Bokeh) {\n", " inject_raw_css(\".bk.alert {\\n padding: 0.75rem 1.25rem;\\n border: 1px solid transparent;\\n border-radius: 0.25rem;\\n /* Don't set margin because that will not render correctly! */\\n /* margin-bottom: 1rem; */\\n margin-top: 15px;\\n margin-bottom: 15px;\\n}\\n.bk.alert a {\\n color: rgb(11, 46, 19); /* #002752; */\\n font-weight: 700;\\n text-decoration: rgb(11, 46, 19);\\n text-decoration-color: rgb(11, 46, 19);\\n text-decoration-line: none;\\n text-decoration-style: solid;\\n text-decoration-thickness: auto;\\n }\\n.bk.alert a:hover {\\n color: rgb(11, 46, 19);\\n font-weight: 700;\\n text-decoration: underline;\\n}\\n\\n.bk.alert-primary {\\n color: #004085;\\n background-color: #cce5ff;\\n border-color: #b8daff;\\n}\\n.bk.alert-primary hr {\\n border-top-color: #9fcdff;\\n}\\n\\n.bk.alert-secondary {\\n color: #383d41;\\n background-color: #e2e3e5;\\n border-color: #d6d8db;\\n }\\n.bk.alert-secondary hr {\\n border-top-color: #c8cbcf;\\n}\\n\\n.bk.alert-success {\\n color: #155724;\\n background-color: #d4edda;\\n border-color: #c3e6cb;\\n }\\n\\n.bk.alert-success hr {\\n border-top-color: #b1dfbb;\\n}\\n\\n.bk.alert-info {\\n color: #0c5460;\\n background-color: #d1ecf1;\\n border-color: #bee5eb;\\n }\\n.bk.alert-info hr {\\n border-top-color: #abdde5;\\n}\\n\\n.bk.alert-warning {\\n color: #856404;\\n background-color: #fff3cd;\\n border-color: #ffeeba;\\n }\\n\\n.bk.alert-warning hr {\\n border-top-color: #ffe8a1;\\n}\\n\\n.bk.alert-danger {\\n color: #721c24;\\n background-color: #f8d7da;\\n border-color: #f5c6cb;\\n}\\n.bk.alert-danger hr {\\n border-top-color: #f1b0b7;\\n}\\n\\n.bk.alert-light {\\n color: #818182;\\n background-color: #fefefe;\\n border-color: #fdfdfe;\\n }\\n.bk.alert-light hr {\\n border-top-color: #ececf6;\\n}\\n\\n.bk.alert-dark {\\n color: #1b1e21;\\n background-color: #d6d8d9;\\n border-color: #c6c8ca;\\n }\\n.bk.alert-dark hr {\\n border-top-color: #b9bbbe;\\n}\\n\\n\\n/* adjf\\u00e6l */\\n\\n.bk.alert-primary a {\\n color: #002752;\\n}\\n\\n.bk.alert-secondary a {\\n color: #202326;\\n}\\n\\n\\n.bk.alert-success a {\\n color: #0b2e13;\\n}\\n\\n\\n.bk.alert-info a {\\n color: #062c33;\\n}\\n\\n\\n.bk.alert-warning a {\\n color: #533f03;\\n}\\n\\n\\n.bk.alert-danger a {\\n color: #491217;\\n}\\n\\n.bk.alert-light a {\\n color: #686868;\\n}\\n\\n.bk.alert-dark a {\\n color: #040505;\\n}\");\n", " },\n", " function(Bokeh) {\n", " inject_raw_css(\".bk.card {\\n border: 1px solid rgba(0,0,0,.125);\\n border-radius: 0.25rem;\\n}\\n.bk.accordion {\\n border: 1px solid rgba(0,0,0,.125);\\n}\\n.bk.card-header {\\n align-items: center;\\n background-color: rgba(0, 0, 0, 0.03);\\n border-radius: 0.25rem;\\n display: inline-flex;\\n justify-content: start;\\n width: 100%;\\n}\\n.bk.accordion-header {\\n align-items: center;\\n background-color: rgba(0, 0, 0, 0.03);\\n border-radius: 0;\\n display: flex;\\n justify-content: start;\\n width: 100%;\\n}\\n.bk.card-button {\\n background-color: transparent;\\n margin-left: 0.5em;\\n}\\n.bk.card-header-row {\\n position: relative !important;\\n}\\n.bk.card-title {\\n align-items: center;\\n font-size: 1.4em;\\n font-weight: bold;\\n overflow-wrap: break-word;\\n}\\n.bk.card-header-row > .bk {\\n padding-right: 1.5em !important;\\n overflow-wrap: break-word;\\n}\\n\");\n", " },\n", " function(Bokeh) {\n", " inject_raw_css(\".bk.panel-widget-box {\\n min-height: 20px;\\n background-color: #f5f5f5;\\n border: 1px solid #e3e3e3;\\n border-radius: 4px;\\n -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n overflow-x: hidden;\\n overflow-y: hidden;\\n}\\n\\n.scrollable {\\n overflow: scroll;\\n}\\n\\nprogress {\\n appearance: none;\\n -moz-appearance: none;\\n -webkit-appearance: none;\\n border: none;\\n height: 20px;\\n background-color: whiteSmoke;\\n border-radius: 3px;\\n box-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n color: royalblue;\\n position: relative;\\n margin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n background-color: whiteSmoke;\\n border-radius: 3px;\\n box-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n position: relative;\\n background-size: 35px 20px, 100% 100%, 100% 100%;\\n border-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n background-position: 10%;\\n animation-name: stripes;\\n animation-duration: 3s;\\n animation-timing-function: linear;\\n animation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n background-size: 35px 20px, 100% 100%, 100% 100%;\\n border-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n border-radius:3px;\\n background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n background-position: 10%;\\n animation-name: stripes;\\n animation-duration: 3s;\\n animation-timing-function: linear;\\n animation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n background-position: 10%;\\n animation-name: stripes;\\n animation-duration: 3s;\\n animation-timing-function: linear;\\n animation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; }\\nprogress.dark:not([value])::-webkit-progress-bar { background-color: #343a40; }\\nprogress.dark:not([value])::before { background-color: #343a40; }\\nprogress.dark::-moz-progress-bar { background-color: #343a40; }\\n\\nprogress:not([value])::-webkit-progress-bar {\\n border-radius: 3px;\\n background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\nprogress:not([value])::before {\\n content:\\\" \\\";\\n position:absolute;\\n height: 20px;\\n top:0;\\n left:0;\\n right:0;\\n bottom:0;\\n border-radius: 3px;\\n background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\n@keyframes stripes {\\n from {background-position: 0%}\\n to {background-position: 100%}\\n}\\n\\n.bk-root .bk.loader {\\n overflow: hidden;\\n}\\n\\n.bk.loader::after {\\n content: \\\"\\\";\\n border-radius: 50%;\\n -webkit-mask-image: radial-gradient(transparent 50%, rgba(0, 0, 0, 1) 54%);\\n width: 100%;\\n height: 100%;\\n left: 0;\\n top: 0;\\n position: absolute;\\n}\\n\\n.bk-root .bk.loader.dark::after {\\n background: #0f0f0f;\\n}\\n\\n.bk-root .bk.loader.light::after {\\n background: #f0f0f0;\\n}\\n\\n.bk-root .bk.loader.spin::after {\\n animation: spin 2s linear infinite;\\n}\\n\\n.bk-root div.bk.loader.spin.primary-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #007bff 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.secondary-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #6c757d 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.success-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #28a745 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.danger-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #dc3545 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.warning-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #ffc107 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.info-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #17a2b8 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.light-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #f8f9fa 50%);\\n}\\n\\n.bk-root div.bk.loader.dark-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #343a40 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.primary-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #007bff 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.secondary-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #6c757d 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.success-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #28a745 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.danger-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #dc3545 50%)\\n}\\n\\n.bk-root div.bk.loader.spin.warning-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #ffc107 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.info-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #17a2b8 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.light-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #f8f9fa 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.dark-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #343a40 50%);\\n}\\n\\n/* Safari */\\n@-webkit-keyframes spin {\\n 0% { -webkit-transform: rotate(0deg); }\\n 100% { -webkit-transform: rotate(360deg); }\\n}\\n\\n@keyframes spin {\\n 0% { transform: rotate(0deg); }\\n 100% { transform: rotate(360deg); }\\n}\\n\\n.dot div {\\n height: 100%;\\n width: 100%;\\n border: 1px solid #000 !important;\\n background-color: #fff;\\n border-radius: 50%;\\n display: inline-block;\\n}\\n\\n.dot-filled div {\\n height: 100%;\\n width: 100%;\\n border: 1px solid #000 !important;\\n border-radius: 50%;\\n display: inline-block;\\n}\\n\\n.dot-filled.primary div {\\n background-color: #007bff;\\n}\\n\\n.dot-filled.secondary div {\\n background-color: #6c757d;\\n}\\n\\n.dot-filled.success div {\\n background-color: #28a745;\\n}\\n\\n.dot-filled.danger div {\\n background-color: #dc3545;\\n}\\n\\n.dot-filled.warning div {\\n background-color: #ffc107;\\n}\\n\\n.dot-filled.info div {\\n background-color: #17a2b8;\\n}\\n\\n.dot-filled.dark div {\\n background-color: #343a40;\\n}\\n\\n.dot-filled.light div {\\n background-color: #f8f9fa;\\n}\\n\\n/* Slider editor */\\n.slider-edit .bk-input-group .bk-input {\\n border: 0;\\n border-radius: 0;\\n min-height: 0;\\n padding-left: 0;\\n padding-right: 0;\\n font-weight: bold;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper {\\n display: contents;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper .bk.bk-spin-btn-up {\\n top: -6px;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper .bk.bk-spin-btn-down {\\n bottom: 3px;\\n}\\n\\n/* JSON Pane */\\n.bk-root .json-formatter-row .json-formatter-string, .bk-root .json-formatter-row .json-formatter-stringifiable {\\n white-space: pre-wrap;\\n}\\n\");\n", " },\n", " function(Bokeh) {\n", " inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } 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*/\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\");\n", " },\n", " function(Bokeh) {\n", " inject_raw_css(\".json-formatter-row {\\n font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n color: black;\\n text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n opacity: 0.5;\\n margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n color: green;\\n white-space: pre;\\n word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n text-decoration: underline;\\n color: blue;\\n cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n color: #00008B;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n line-height: 1.2rem;\\n font-size: 0.7rem;\\n vertical-align: middle;\\n opacity: 0.6;\\n cursor: pointer;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n display: inline-block;\\n transition: transform 100ms ease-in;\\n content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n opacity: 0;\\n transition: opacity 0.15s ease-in;\\n font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n color: white;\\n text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n opacity: 0.5;\\n margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n content: \\\"No properties\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n content: \\\"[]\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n color: #31F031;\\n white-space: pre;\\n word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n text-decoration: underline;\\n color: #027BFF;\\n cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n color: #23A0DB;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler {\\n line-height: 1.2rem;\\n font-size: 0.7rem;\\n vertical-align: middle;\\n opacity: 0.6;\\n cursor: pointer;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler:after {\\n display: inline-block;\\n transition: transform 100ms ease-in;\\n content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-dark.json-formatter-row > a > .json-formatter-preview-text {\\n opacity: 0;\\n transition: opacity 0.15s ease-in;\\n font-style: italic;\\n}\\n.json-formatter-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n display: block;\\n}\\n\");\n", " },\n", " function(Bokeh) {\n", " inject_raw_css(\".bk.pn-loading:before {\\n position: absolute;\\n height: 100%;\\n width: 100%;\\n content: '';\\n z-index: 1000;\\n background-color: rgb(255,255,255,0.50);\\n border-color: lightgray;\\n background-repeat: no-repeat;\\n background-position: center;\\n background-size: auto 50%;\\n border-width: 1px;\\n cursor: progress;\\n}\\n.bk.pn-loading.arcs:hover:before {\\n cursor: progress;\\n}\\n\");\n", " },\n", " function(Bokeh) {\n", " inject_raw_css(\"table.panel-df {\\n margin-left: auto;\\n margin-right: auto;\\n border: none;\\n border-collapse: collapse;\\n border-spacing: 0;\\n color: black;\\n font-size: 12px;\\n table-layout: fixed;\\n width: 100%;\\n}\\n\\n.panel-df tr, .panel-df th, .panel-df td {\\n text-align: right;\\n vertical-align: middle;\\n padding: 0.5em 0.5em !important;\\n line-height: normal;\\n white-space: normal;\\n max-width: none;\\n border: none;\\n}\\n\\n.panel-df tbody {\\n display: table-row-group;\\n vertical-align: middle;\\n border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n border-bottom: 1px solid black;\\n vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n background: lightblue !important;\\n cursor: pointer;\\n}\\n\");\n", " },\n", " function(Bokeh) {\n", " inject_raw_css(\"\\n .bk.pn-loading.arcs:before {\\n background-image: url(\\\"data:image/svg+xml;base64,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\\\")\\n }\\n \");\n", " },\n", " function(Bokeh) {\n", " /* BEGIN bokeh.min.js */\n", " /*!\n", " * Copyright (c) 2012 - 2021, Anaconda, Inc., and Bokeh Contributors\n", " * All rights reserved.\n", " * \n", " * Redistribution and use in source and binary forms, with or without modification,\n", " * are permitted provided that the following conditions are met:\n", " * \n", " * Redistributions of source code must retain the above copyright notice,\n", " * this list of conditions and the following disclaimer.\n", " * \n", " * Redistributions in binary form must reproduce the above copyright notice,\n", " * this list of conditions and the following disclaimer in the documentation\n", " * and/or other materials provided with the distribution.\n", " * \n", " * Neither the name of Anaconda nor the names of any contributors\n", " * may be used to endorse or promote products derived from this software\n", " * without specific prior written permission.\n", " * \n", " * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n", " * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n", " * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n", " * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n", " * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n", " * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n", " * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n", " * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n", " * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n", " * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n", " * THE POSSIBILITY OF SUCH DAMAGE.\n", " */\n", " (function(root, factory) {\n", " const bokeh = factory();\n", " bokeh.__bokeh__ = true;\n", " if (typeof root.Bokeh === \"undefined\" || typeof root.Bokeh.__bokeh__ === \"undefined\") {\n", " root.Bokeh = bokeh;\n", " }\n", " const Bokeh = root.Bokeh;\n", " Bokeh[bokeh.version] = bokeh;\n", " })(this, function() {\n", " var define;\n", " var parent_require = typeof require === \"function\" && require\n", " return (function(modules, entry, aliases, externals) {\n", " if (aliases === undefined) aliases = {};\n", " if (externals === undefined) externals = {};\n", "\n", " var cache = {};\n", "\n", " var normalize = function(name) {\n", " if (typeof name === \"number\")\n", " return name;\n", "\n", " if (name === \"bokehjs\")\n", " return entry;\n", "\n", " if (!externals[name]) {\n", " var prefix = \"@bokehjs/\"\n", " if (name.slice(0, prefix.length) === prefix)\n", " name = name.slice(prefix.length)\n", " }\n", "\n", " var alias = aliases[name]\n", " if (alias != null)\n", " return alias;\n", "\n", " var trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n", " var index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n", " if (index != null)\n", " return index;\n", "\n", " return name;\n", " }\n", "\n", " var require = function(name) {\n", " var mod = cache[name];\n", " if (!mod) {\n", " var id = normalize(name);\n", "\n", " mod = cache[id];\n", " if (!mod) {\n", " if (!modules[id]) {\n", " if (externals[id] === false || (externals[id] == true && parent_require)) {\n", " try {\n", " mod = {exports: externals[id] ? parent_require(id) : {}};\n", " cache[id] = cache[name] = mod;\n", " return mod.exports;\n", " } catch (e) {}\n", " }\n", "\n", " var err = new Error(\"Cannot find module '\" + name + \"'\");\n", " err.code = 'MODULE_NOT_FOUND';\n", " throw err;\n", " }\n", "\n", " mod = {exports: {}};\n", " cache[id] = cache[name] = mod;\n", "\n", " function __esModule() {\n", " Object.defineProperty(mod.exports, \"__esModule\", {value: true});\n", " }\n", "\n", " function __esExport(name, value) {\n", " Object.defineProperty(mod.exports, name, {\n", " enumerable: true, get: function () { return value; }\n", " });\n", " }\n", "\n", " modules[id].call(mod.exports, require, mod, mod.exports, __esModule, __esExport);\n", " } else {\n", " cache[name] = mod;\n", " }\n", " }\n", "\n", " return mod.exports;\n", " }\n", " require.resolve = function(name) {\n", " 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e={};if(null!=t)for(var r in t)\"default\"!==r&&Object.prototype.hasOwnProperty.call(t,r)&&n.__createBinding(e,t,r);return f(e,t),e},n.__importDefault=function(t){return t&&t.__esModule?t:{default:t}},n.__classPrivateFieldGet=function(t,e){if(!e.has(t))throw new TypeError(\"attempted to get private field on non-instance\");return e.get(t)},n.__classPrivateFieldSet=function(t,e,n){if(!e.has(t))throw new TypeError(\"attempted to set private field on non-instance\");return e.set(t,n),n}},\n", " function _(e,t,o,s,l){s();const n=e(1);l(\"version\",e(3).version),l(\"index\",e(4).index),o.embed=n.__importStar(e(4)),o.protocol=n.__importStar(e(404)),o._testing=n.__importStar(e(405));var r=e(19);l(\"logger\",r.logger),l(\"set_log_level\",r.set_log_level),l(\"settings\",e(28).settings),l(\"Models\",e(7).Models),l(\"documents\",e(5).documents),l(\"safely\",e(406).safely)},\n", " function _(n,i,o,c,e){c(),o.version=\"2.3.3\"},\n", " function _(e,o,t,n,s){n();const 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a}s(\"embed_items_notebook\",g.embed_items_notebook),s(\"kernels\",g.kernels),s(\"BOKEH_ROOT\",e(396).BOKEH_ROOT),t.embed_item=async function(e,o){const t={},n=_.uuid4();t[n]=e.doc,null==o&&(o=e.target_id);const s=document.getElementById(o);null!=s&&s.classList.add(m.BOKEH_ROOT);const d={roots:{[e.root_id]:o},root_ids:[e.root_id],docid:n};await a.defer();const[r]=await w(t,[d]);return r},t.embed_items=async function(e,o,t,n){return await a.defer(),w(e,o,t,n)}},\n", " function _(t,_,o,r,n){r();const a=t(1);a.__exportStar(t(6),o),a.__exportStar(t(35),o)},\n", " function _(e,t,s,o,n){o();const r=e(1),i=e(7),l=e(3),_=e(19),a=e(264),c=e(14),d=e(30),h=e(15),f=e(17),u=e(31),m=e(9),g=e(13),v=r.__importStar(e(132)),w=e(26),p=e(8),b=e(319),y=e(130),k=e(53),M=e(394),j=e(35);class S{constructor(e){this.document=e,this.session=null,this.subscribed_models=new Set}send_event(e){const t=new j.MessageSentEvent(this.document,\"bokeh_event\",e.to_json());this.document._trigger_on_change(t)}trigger(e){for(const t of this.subscribed_models)null!=e.origin&&e.origin!=t||t._process_event(e)}}s.EventManager=S,S.__name__=\"EventManager\",s.documents=[],s.DEFAULT_TITLE=\"Bokeh Application\";class E{constructor(e){var t;s.documents.push(this),this._init_timestamp=Date.now(),this._resolver=null!==(t=null==e?void 0:e.resolver)&&void 0!==t?t:new i.ModelResolver,this._title=s.DEFAULT_TITLE,this._roots=[],this._all_models=new Map,this._all_models_freeze_count=0,this._callbacks=new Map,this._message_callbacks=new Map,this.event_manager=new S(this),this.idle=new h.Signal0(this,\"idle\"),this._idle_roots=new WeakMap,this._interactive_timestamp=null,this._interactive_plot=null}get layoutables(){return this._roots.filter((e=>e instanceof b.LayoutDOM))}get is_idle(){for(const e of this.layoutables)if(!this._idle_roots.has(e))return!1;return!0}notify_idle(e){this._idle_roots.set(e,!0),this.is_idle&&(_.logger.info(`document idle at ${Date.now()-this._init_timestamp} ms`),this.event_manager.send_event(new a.DocumentReady),this.idle.emit())}clear(){this._push_all_models_freeze();try{for(;this._roots.length>0;)this.remove_root(this._roots[0])}finally{this._pop_all_models_freeze()}}interactive_start(e){null==this._interactive_plot&&(this._interactive_plot=e,this._interactive_plot.trigger_event(new a.LODStart)),this._interactive_timestamp=Date.now()}interactive_stop(){null!=this._interactive_plot&&this._interactive_plot.trigger_event(new a.LODEnd),this._interactive_plot=null,this._interactive_timestamp=null}interactive_duration(){return null==this._interactive_timestamp?-1:Date.now()-this._interactive_timestamp}destructively_move(e){if(e===this)throw new Error(\"Attempted to overwrite a document with itself\");e.clear();const t=m.copy(this._roots);this.clear();for(const e of t)if(null!=e.document)throw new Error(`Somehow we didn't detach ${e}`);if(0!=this._all_models.size)throw new Error(`this._all_models still had stuff in it: ${this._all_models}`);for(const s of t)e.add_root(s);e.set_title(this._title)}_push_all_models_freeze(){this._all_models_freeze_count+=1}_pop_all_models_freeze(){this._all_models_freeze_count-=1,0===this._all_models_freeze_count&&this._recompute_all_models()}_invalidate_all_models(){_.logger.debug(\"invalidating document models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new Set;for(const t of this._roots)e=v.union(e,t.references());const t=new Set(this._all_models.values()),s=v.difference(t,e),o=v.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(_.logger.debug(`Adding root: ${e}`),!m.includes(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new j.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new j.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new j.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof k.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${e}'`)}}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e,t=!1){this._callbacks.has(e)||this._callbacks.set(e,t)}remove_on_change(e){this._callbacks.delete(e)}_trigger_on_change(e){for(const[t,s]of this._callbacks)if(!s&&e instanceof j.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new j.ModelChangedEvent(this,e,t,s,o,null==n?void 0:n.setter_id,null==n?void 0:n.hint))}static _instantiate_object(e,t,s,o){const n=Object.assign(Object.assign({},s),{id:e,__deferred__:!0});return new(o.get(t))(n)}static _instantiate_references_json(e,t,s){var o;const n=new Map;for(const r of e){const e=r.id,i=r.type,l=null!==(o=r.attributes)&&void 0!==o?o:{};let _=t.get(e);null==_&&(_=E._instantiate_object(e,i,l,s),null!=r.subtype&&_.set_subtype(r.subtype)),n.set(_.id,_)}return n}static _resolve_refs(e,t,s,o){function n(e){var r;if(f.is_ref(e)){const o=null!==(r=t.get(e.id))&&void 0!==r?r:s.get(e.id);if(null!=o)return o;throw new Error(`reference ${JSON.stringify(e)} isn't known (not in Document?)`)}return u.is_NDArray_ref(e)?u.decode_NDArray(e,o):p.isArray(e)?function(e){const t=[];for(const s of e)t.push(n(s));return t}(e):p.isPlainObject(e)?function(e){const t={};for(const[s,o]of g.entries(e))t[s]=n(o);return t}(e):e}return n(e)}static _initialize_references_json(e,t,s,o){const n=new Map;for(const{id:r,attributes:i}of e){const e=!t.has(r),l=e?s.get(r):t.get(r),_=E._resolve_refs(i,t,s,o);l.setv(_,{silent:!0}),n.set(r,{instance:l,is_new:e})}const r=[],i=new Set;function l(e){if(e instanceof c.HasProps){if(n.has(e.id)&&!i.has(e.id)){i.add(e.id);const{instance:t,is_new:s}=n.get(e.id),{attributes:o}=t;for(const e of g.values(o))l(e);s&&(t.finalize(),r.push(t))}}else if(p.isArray(e))for(const t of e)l(t);else if(p.isPlainObject(e))for(const t of g.values(e))l(t)}for(const e of n.values())l(e.instance);for(const e of r)e.connect_signals()}static _event_for_attribute_change(e,t,s,o,n){if(o.get_model_by_id(e.id).property(t).syncable){const r={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return c.HasProps._json_record_references(o,s,n,{recursive:!0}),r}return null}static _events_to_sync_objects(e,t,s,o){const n=Object.keys(e.attributes),r=Object.keys(t.attributes),i=m.difference(n,r),l=m.difference(r,n),a=m.intersection(n,r),c=[];for(const e of i)_.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of l){const r=t.attributes[n];c.push(E._event_for_attribute_change(e,n,r,s,o))}for(const n of a){const r=e.attributes[n],i=t.attributes[n];null==r&&null==i||(null==r||null==i?c.push(E._event_for_attribute_change(e,n,i,s,o)):w.is_equal(r,i)||c.push(E._event_for_attribute_change(e,n,i,s,o)))}return c.filter((e=>null!=e))}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),r=new Map,i=[];for(const t of e.roots.root_ids)r.set(t,n.get(t)),i.push(t);const l=o(s),_=new Map,a=[];for(const e of s.roots.root_ids)_.set(e,l.get(e)),a.push(e);if(i.sort(),a.sort(),m.difference(i,a).length>0||m.difference(a,i).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=E._events_to_sync_objects(n.get(e),l.get(e),t,c);h=h.concat(s)}const f=new d.Serializer({include_defaults:!1});return f.to_serializable([...c]),{references:[...f.definitions],events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=new d.Serializer({include_defaults:e}),s=t.to_serializable(this._roots);return{version:l.version,title:this._title,roots:{root_ids:s.map((e=>e.id)),references:[...t.definitions]}}}static from_json_string(e){const t=JSON.parse(e);return E.from_json(t)}static from_json(e){_.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${l.version}) / Python (${t})`;s||l.version.replace(/-(dev|rc)\\./,\"$1\")==t?_.logger.debug(o):(_.logger.warn(\"JS/Python version mismatch\"),_.logger.warn(o));const n=new i.ModelResolver;null!=e.defs&&M.resolve_defs(e.defs,n);const r=e.roots,a=r.root_ids,c=r.references,d=E._instantiate_references_json(c,new Map,n);E._initialize_references_json(c,new Map,d,new Map);const h=new E({resolver:n});for(const e of a){const t=d.get(e);null!=t&&h.add_root(t)}return h.set_title(e.title),h}replace_with_json(e){E.from_json(e).destructively_move(this)}create_json_patch_string(e){return JSON.stringify(this.create_json_patch(e))}create_json_patch(e){for(const t of e)if(t.document!=this)throw new Error(\"Cannot create a patch using events from a different document\");const t=new d.Serializer,s=t.to_serializable(e);for(const e of this._all_models.values())t.remove_def(e);return{events:s,references:[...t.definitions]}}apply_json_patch(e,t=new Map,s){const o=e.references,n=e.events,r=E._instantiate_references_json(o,this._all_models,this._resolver);t instanceof Map||(t=new Map(t));for(const e of n)switch(e.kind){case\"RootAdded\":case\"RootRemoved\":case\"ModelChanged\":{const t=e.model.id,s=this._all_models.get(t);if(null!=s)r.set(t,s);else if(!r.has(t))throw _.logger.warn(`Got an event for unknown model ${e.model}\"`),new Error(\"event model wasn't known\");break}}const i=new Map(this._all_models),l=new Map;for(const[e,t]of r)i.has(e)||l.set(e,t);E._initialize_references_json(o,i,l,t);for(const e of n)switch(e.kind){case\"MessageSent\":{const{msg_type:s,msg_data:o}=e;let n;if(void 0===o){if(1!=t.size)throw new Error(\"expected exactly one buffer\");{const[[,e]]=t;n=e}}else n=E._resolve_refs(o,i,l,t);this._trigger_on_message(s,n);break}case\"ModelChanged\":{const o=e.model.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot apply patch to ${o} which is not in the document`);const r=e.attr,_=E._resolve_refs(e.new,i,l,t);n.setv({[r]:_},{setter_id:s});break}case\"ColumnDataChanged\":{const o=e.column_source.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot stream to ${o} which is not in the document`);const r=E._resolve_refs(e.new,new Map,new Map,t);if(null!=e.cols)for(const e in n.data)e in r||(r[e]=n.data[e]);n.setv({data:r},{setter_id:s,check_eq:!1});break}case\"ColumnsStreamed\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot stream to ${t} which is not in the document`);if(!(o instanceof y.ColumnDataSource))throw new Error(\"Cannot stream to non-ColumnDataSource\");const n=e.data,r=e.rollover;o.stream(n,r,s);break}case\"ColumnsPatched\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot patch ${t} which is not in the document`);if(!(o instanceof y.ColumnDataSource))throw new Error(\"Cannot patch non-ColumnDataSource\");const n=e.patches;o.patch(n,s);break}case\"RootAdded\":{const t=e.model.id,o=r.get(t);this.add_root(o,s);break}case\"RootRemoved\":{const t=e.model.id,o=r.get(t);this.remove_root(o,s);break}case\"TitleChanged\":this.set_title(e.title,s);break;default:throw new Error(\"Unknown patch event \"+JSON.stringify(e))}}}s.Document=E,E.__name__=\"Document\"},\n", " function _(e,o,s,r,t){r();const l=e(1),d=e(8),i=e(13),n=e(14);s.overrides={};const a=new Map;s.Models=e=>{const o=s.Models.get(e);if(null!=o)return o;throw new Error(`Model '${e}' does not exist. This could be due to a widget or a custom model not being registered before first usage.`)},s.Models.get=e=>{var o;return null!==(o=s.overrides[e])&&void 0!==o?o:a.get(e)},s.Models.register=(e,o)=>{s.overrides[e]=o},s.Models.unregister=e=>{delete s.overrides[e]},s.Models.register_models=(e,o=!1,s)=>{var r;if(null!=e)for(const t of d.isArray(e)?e:i.values(e))if(r=t,d.isObject(r)&&r.prototype instanceof n.HasProps){const e=t.__qualified__;o||!a.has(e)?a.set(e,t):null!=s?s(e):console.warn(`Model '${e}' was already registered`)}},s.register_models=s.Models.register_models,s.Models.registered_names=()=>[...a.keys()];class u{constructor(){this._known_models=new Map}get(e,o){var r;const t=null!==(r=s.Models.get(e))&&void 0!==r?r:this._known_models.get(e);if(null!=t)return t;if(void 0!==o)return o;throw new Error(`Model '${e}' does not exist. This could be due to a widget or a custom model not being registered before first usage.`)}register(e){const o=e.__qualified__;null==this.get(o,null)?this._known_models.set(o,e):console.warn(`Model '${o}' was already registered with this resolver`)}}s.ModelResolver=u,u.__name__=\"ModelResolver\";const _=l.__importStar(e(38));s.register_models(_)},\n", " function _(n,r,t,e,i){e();\n", " // (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n", " // Underscore may be freely distributed under the MIT license.\n", " const o=n(9),u=Object.prototype.toString;function c(n){return!0===n||!1===n||\"[object Boolean]\"===u.call(n)}function f(n){return\"[object Number]\"===u.call(n)}function a(n){return\"[object String]\"===u.call(n)}function l(n){const r=typeof n;return\"function\"===r||\"object\"===r&&!!n}function s(n){return l(n)&&void 0!==n[Symbol.iterator]}t.isBoolean=c,t.isNumber=f,t.isInteger=function(n){return 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Math.atan2(r[1]-n[1],r[0]-n[0])},t.radians=function(n){return n*(u/180)},t.degrees=function(n){return n/(u/180)},t.resolve_angle=function(n,r){return-i(r)*n},t.to_radians_coeff=i,t.rnorm=function(n,r){let t,e;for(;t=f(),e=f(),e=(2*e-1)*Math.sqrt(1/Math.E*2),!(-4*t*t*Math.log(t)>=e*e););let o=e/t;return o=n+r*o,o},t.clamp=function(n,r,t){return nt?t:n},t.log=function(n,r=Math.E){return Math.log(n)/Math.log(r)}},\n", " function _(r,n,e,o,s){o();class t extends Error{}e.AssertionError=t,t.__name__=\"AssertionError\",e.assert=function(r,n){if(!(!0===r||!1!==r&&r()))throw new t(null!=n?n:\"Assertion failed\")},e.unreachable=function(){throw new Error(\"unreachable code\")}},\n", " function _(n,t,e,r,o){r();const i=n(10);function l(n,t,e,...r){const o=n.length;t<0&&(t+=o),t<0?t=0:t>o&&(t=o),null==e||e>o-t?e=o-t:e<0&&(e=0);const i=o-e+r.length,l=new n.constructor(i);let u=0;for(;u0?0:r-1;for(;o>=0&&ot[t.length-1])return t.length;let e=0,r=t.length-1;for(;r-e!=1;){const 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o.Signal0(this,\"exprchange\"),this.properties={},this._pending=!1,this._changing=!1;const n=t instanceof Map?t.get.bind(t):e=>t[e];this.id=null!==(e=n(\"id\"))&&void 0!==e?e:h.uniqueId();for(const[t,{type:e,default_value:s,options:r}]of u.entries(this._props)){let i;e instanceof a.PropertyAlias?Object.defineProperty(this.properties,t,{get:()=>this.properties[e.attr],configurable:!1,enumerable:!1}):(i=e instanceof _.Kind?new a.PrimitiveProperty(this,t,e,s,n(t),r):new e(this,t,_.Any,s,n(t),r),this.properties[t]=i)}null!==(s=n(\"__deferred__\"))&&void 0!==s&&s||(this.finalize(),this.connect_signals())}get is_syncable(){return!0}set type(t){console.warn(\"prototype.type = 'ModelName' is deprecated, use static __name__ instead\"),this.constructor.__name__=t}get type(){return this.constructor.__qualified__}static get __qualified__(){const{__module__:t,__name__:e}=this;return null!=t?`${t}.${e}`:e}static get[Symbol.toStringTag](){return this.__name__}static 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this.constructor(e)}[g.equals](t,e){for(const s of this){const n=t.property(s.attr);if(e.eq(s.get_value(),n.get_value()))return!1}return!0}[y.pretty](t){const e=t.token,s=[];for(const n of this)if(n.dirty){const r=n.get_value();s.push(`${n.attr}${e(\":\")} ${t.to_string(r)}`)}return`${this.constructor.__qualified__}${e(\"(\")}${e(\"{\")}${s.join(`${e(\",\")} `)}${e(\"}\")}${e(\")\")}`}[p.serialize](t){const e=this.ref();t.add_ref(this,e);const s=this.struct();for(const e of this)e.syncable&&(t.include_defaults||e.dirty)&&(s.attributes[e.attr]=t.to_serializable(e.get_value()));return t.add_def(this,s),e}finalize(){for(const t of this){if(!(t instanceof a.VectorSpec||t instanceof a.ScalarSpec))continue;const e=t.get_value();if(null!=e){const{transform:t,expr:s}=e;null!=t&&this.connect(t.change,(()=>this.transformchange.emit())),null!=s&&this.connect(s.change,(()=>this.exprchange.emit()))}}this.initialize()}initialize(){}connect_signals(){}disconnect_signals(){o.Signal.disconnectReceiver(this)}destroy(){this.disconnect_signals(),this.destroyed.emit()}clone(){return(new v.Cloner).clone(this)}_setv(t,e){const s=e.check_eq,n=[],r=this._changing;this._changing=!0;for(const[e,r]of t)!1!==s&&f.is_equal(e.get_value(),r)||(e.set_value(r),n.push(e));n.length>0&&(this._pending=!0);for(const t of n)t.change.emit();if(!r){if(!e.no_change)for(;this._pending;)this._pending=!1,this.change.emit();this._pending=!1,this._changing=!1}}setv(t,e={}){const s=u.entries(t);if(0==s.length)return;if(!0===e.silent){for(const[t,e]of s)this.properties[t].set_value(e);return}const n=new Map,r=new Map;for(const[t,e]of s){const s=this.properties[t];n.set(s,e),r.set(s,s.get_value())}this._setv(n,e);const{document:i}=this;if(null!=i){const t=[];for(const[e,s]of r)t.push([e,s,e.get_value()]);for(const[,e,s]of t)if(this._needs_invalidate(e,s)){i._invalidate_all_models();break}this._push_changes(t,e)}}getv(t){return this.property(t).get_value()}ref(){return{id:this.id}}struct(){const t={type:this.type,id:this.id,attributes:{}};return null!=this._subtype&&(t.subtype=this._subtype),t}set_subtype(t){this._subtype=t}*[Symbol.iterator](){yield*u.values(this.properties)}*syncable_properties(){for(const t of this)t.syncable&&(yield t)}serializable_attributes(){const t={};for(const e of this.syncable_properties())t[e.attr]=e.get_value();return t}static _json_record_references(t,e,s,n){const{recursive:r}=n;if(c.is_ref(e)){const n=t.get_model_by_id(e.id);null==n||s.has(n)||b._value_record_references(n,s,{recursive:r})}else if(l.isArray(e))for(const n of e)b._json_record_references(t,n,s,{recursive:r});else 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e)t.appendChild(n)},n.remove=a,n.removeElement=a,n.replaceWith=function(t,e){const n=t.parentNode;null!=n&&n.replaceChild(e,t)},n.prepend=c,n.empty=function(t,e=!1){let n;for(;n=t.firstChild;)t.removeChild(n);if(e&&t instanceof Element)for(const e of t.attributes)t.removeAttributeNode(e)},n.display=function(t){t.style.display=\"\"},n.undisplay=function(t){t.style.display=\"none\"},n.show=function(t){t.style.visibility=\"\"},n.hide=function(t){t.style.visibility=\"hidden\"},n.offset=function(t){const e=t.getBoundingClientRect();return{top:e.top+window.pageYOffset-document.documentElement.clientTop,left:e.left+window.pageXOffset-document.documentElement.clientLeft}},n.matches=d,n.parent=function(t,e){let n=t;for(;n=n.parentElement;)if(d(n,e))return n;return null},n.extents=u,n.size=f,n.scroll_size=function(t){return{width:Math.ceil(t.scrollWidth),height:Math.ceil(t.scrollHeight)}},n.outer_size=function(t){const{margin:{left:e,right:n,top:i,bottom:o}}=u(t),{width:s,height:l}=f(t);return{width:Math.ceil(s+e+n),height:Math.ceil(l+i+o)}},n.content_size=function(t){const{left:e,top:n}=t.getBoundingClientRect(),{padding:i}=u(t);let o=0,s=0;for(const l of t.children){const t=l.getBoundingClientRect();o=Math.max(o,Math.ceil(t.left-e-i.left+t.width)),s=Math.max(s,Math.ceil(t.top-n-i.top+t.height))}return{width:o,height:s}},n.position=function(t,e,n){const{style:i}=t;if(i.left=`${e.x}px`,i.top=`${e.y}px`,i.width=`${e.width}px`,i.height=`${e.height}px`,null==n)i.margin=\"\";else{const{top:t,right:e,bottom:o,left:s}=n;i.margin=`${t}px ${e}px ${o}px ${s}px`}},n.children=function(t){return Array.from(t.children)};class p{constructor(t){this.el=t,this.classList=t.classList}get values(){const t=[];for(let e=0;e{document.addEventListener(\"DOMContentLoaded\",(()=>t()),{once:!0})}))}},\n", " function _(o,i,t,e,r){e(),t.root=\"bk-root\",t.default=\".bk-root{position:relative;width:auto;height:auto;box-sizing:border-box;font-family:Helvetica, Arial, sans-serif;font-size:13px;}.bk-root .bk,.bk-root .bk:before,.bk-root .bk:after{box-sizing:inherit;margin:0;border:0;padding:0;background-image:none;font-family:inherit;font-size:100%;line-height:1.42857143;}.bk-root pre.bk{font-family:Courier, monospace;}\"},\n", " function _(e,t,r,a,c){a();const l=e(1),n=e(46);c(\"Line\",n.Line),c(\"LineScalar\",n.LineScalar),c(\"LineVector\",n.LineVector);const i=e(49);c(\"Fill\",i.Fill),c(\"FillScalar\",i.FillScalar),c(\"FillVector\",i.FillVector);const s=e(50);c(\"Text\",s.Text),c(\"TextScalar\",s.TextScalar),c(\"TextVector\",s.TextVector);const o=e(51);c(\"Hatch\",o.Hatch),c(\"HatchScalar\",o.HatchScalar),c(\"HatchVector\",o.HatchVector);const u=l.__importStar(e(48)),V=e(47);c(\"VisualProperties\",V.VisualProperties),c(\"VisualUniforms\",V.VisualUniforms);class h{constructor(e){this._visuals=[];for(const[t,r]of e.model._mixins){const a=(()=>{switch(r){case u.Line:return new n.Line(e,t);case u.LineScalar:return new n.LineScalar(e,t);case u.LineVector:return new n.LineVector(e,t);case u.Fill:return new i.Fill(e,t);case u.FillScalar:return new i.FillScalar(e,t);case u.FillVector:return new i.FillVector(e,t);case u.Text:return new s.Text(e,t);case u.TextScalar:return new s.TextScalar(e,t);case u.TextVector:return new s.TextVector(e,t);case u.Hatch:return new o.Hatch(e,t);case u.HatchScalar:return new o.HatchScalar(e,t);case u.HatchVector:return new o.HatchVector(e,t);default:throw new Error(\"unknown visual\")}})();this._visuals.push(a),Object.defineProperty(this,t+a.type,{get:()=>a,configurable:!1,enumerable:!0})}}*[Symbol.iterator](){yield*this._visuals}}r.Visuals=h,h.__name__=\"Visuals\"},\n", " function _(e,t,i,l,s){l();const n=e(1),a=e(47),o=n.__importStar(e(48)),r=e(22),_=e(8);function h(e){if(_.isArray(e))return e;switch(e){case\"solid\":return[];case\"dashed\":return[6];case\"dotted\":return[2,4];case\"dotdash\":return[2,4,6,4];case\"dashdot\":return[6,4,2,4];default:return e.split(\" \").map(Number).filter(_.isInteger)}}i.resolve_line_dash=h;class c extends a.VisualProperties{get doit(){const e=this.line_color.get_value(),t=this.line_alpha.get_value(),i=this.line_width.get_value();return!(null==e||0==t||0==i)}set_value(e){const t=this.line_color.get_value(),i=this.line_alpha.get_value();e.strokeStyle=r.color2css(t,i),e.lineWidth=this.line_width.get_value(),e.lineJoin=this.line_join.get_value(),e.lineCap=this.line_cap.get_value(),e.lineDash=h(this.line_dash.get_value()),e.lineDashOffset=this.line_dash_offset.get_value()}}i.Line=c,c.__name__=\"Line\";class u extends a.VisualUniforms{get doit(){const e=this.line_color.value,t=this.line_alpha.value,i=this.line_width.value;return!(0==e||0==t||0==i)}set_value(e){const t=this.line_color.value,i=this.line_alpha.value;e.strokeStyle=r.color2css(t,i),e.lineWidth=this.line_width.value,e.lineJoin=this.line_join.value,e.lineCap=this.line_cap.value,e.lineDash=h(this.line_dash.value),e.lineDashOffset=this.line_dash_offset.value}}i.LineScalar=u,u.__name__=\"LineScalar\";class d extends a.VisualUniforms{get doit(){const{line_color:e}=this;if(e.is_Scalar()&&0==e.value)return!1;const{line_alpha:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{line_width:i}=this;return!i.is_Scalar()||0!=i.value}set_vectorize(e,t){const i=this.line_color.get(t),l=this.line_alpha.get(t),s=this.line_width.get(t),n=this.line_join.get(t),a=this.line_cap.get(t),o=this.line_dash.get(t),_=this.line_dash_offset.get(t);e.strokeStyle=r.color2css(i,l),e.lineWidth=s,e.lineJoin=n,e.lineCap=a,e.lineDash=h(o),e.lineDashOffset=_}}i.LineVector=d,d.__name__=\"LineVector\",c.prototype.type=\"line\",c.prototype.attrs=Object.keys(o.Line),u.prototype.type=\"line\",u.prototype.attrs=Object.keys(o.LineScalar),d.prototype.type=\"line\",d.prototype.attrs=Object.keys(o.LineVector)},\n", " function _(t,s,o,i,r){i();class e{constructor(t,s=\"\"){this.obj=t,this.prefix=s;const o=this;this._props=[];for(const i of this.attrs){const r=t.model.properties[s+i];r.change.connect((()=>this.update())),o[i]=r,this._props.push(r)}this.update()}*[Symbol.iterator](){yield*this._props}update(){}}o.VisualProperties=e,e.__name__=\"VisualProperties\";class p{constructor(t,s=\"\"){this.obj=t,this.prefix=s;for(const o of this.attrs)Object.defineProperty(this,o,{get:()=>t[s+o]})}*[Symbol.iterator](){for(const t of this.attrs)yield this.obj.model.properties[this.prefix+t]}update(){}}o.VisualUniforms=p,p.__name__=\"VisualUniforms\"},\n", " function _(e,l,t,a,c){a();const r=e(1),o=r.__importStar(e(18)),n=e(20),i=r.__importStar(e(21)),_=e(13);t.Line={line_color:[i.Nullable(i.Color),\"black\"],line_alpha:[i.Alpha,1],line_width:[i.Number,1],line_join:[n.LineJoin,\"bevel\"],line_cap:[n.LineCap,\"butt\"],line_dash:[i.Or(n.LineDash,i.Array(i.Number)),[]],line_dash_offset:[i.Number,0]},t.Fill={fill_color:[i.Nullable(i.Color),\"gray\"],fill_alpha:[i.Alpha,1]},t.Hatch={hatch_color:[i.Nullable(i.Color),\"black\"],hatch_alpha:[i.Alpha,1],hatch_scale:[i.Number,12],hatch_pattern:[i.Nullable(i.Or(n.HatchPatternType,i.String)),null],hatch_weight:[i.Number,1],hatch_extra:[i.Dict(i.AnyRef()),{}]},t.Text={text_color:[i.Nullable(i.Color),\"#444444\"],text_alpha:[i.Alpha,1],text_font:[o.Font,\"helvetica\"],text_font_size:[i.FontSize,\"16px\"],text_font_style:[n.FontStyle,\"normal\"],text_align:[n.TextAlign,\"left\"],text_baseline:[n.TextBaseline,\"bottom\"],text_line_height:[i.Number,1.2]},t.LineScalar={line_color:[o.ColorScalar,\"black\"],line_alpha:[o.NumberScalar,1],line_width:[o.NumberScalar,1],line_join:[o.LineJoinScalar,\"bevel\"],line_cap:[o.LineCapScalar,\"butt\"],line_dash:[o.LineDashScalar,[]],line_dash_offset:[o.NumberScalar,0]},t.FillScalar={fill_color:[o.ColorScalar,\"gray\"],fill_alpha:[o.NumberScalar,1]},t.HatchScalar={hatch_color:[o.ColorScalar,\"black\"],hatch_alpha:[o.NumberScalar,1],hatch_scale:[o.NumberScalar,12],hatch_pattern:[o.NullStringScalar,null],hatch_weight:[o.NumberScalar,1],hatch_extra:[o.AnyScalar,{}]},t.TextScalar={text_color:[o.ColorScalar,\"#444444\"],text_alpha:[o.NumberScalar,1],text_font:[o.FontScalar,\"helvetica\"],text_font_size:[o.FontSizeScalar,\"16px\"],text_font_style:[o.FontStyleScalar,\"normal\"],text_align:[o.TextAlignScalar,\"left\"],text_baseline:[o.TextBaselineScalar,\"bottom\"],text_line_height:[o.NumberScalar,1.2]},t.LineVector={line_color:[o.ColorSpec,\"black\"],line_alpha:[o.NumberSpec,1],line_width:[o.NumberSpec,1],line_join:[o.LineJoinSpec,\"bevel\"],line_cap:[o.LineCapSpec,\"butt\"],line_dash:[o.LineDashSpec,[]],line_dash_offset:[o.NumberSpec,0]},t.FillVector={fill_color:[o.ColorSpec,\"gray\"],fill_alpha:[o.NumberSpec,1]},t.HatchVector={hatch_color:[o.ColorSpec,\"black\"],hatch_alpha:[o.NumberSpec,1],hatch_scale:[o.NumberSpec,12],hatch_pattern:[o.NullStringSpec,null],hatch_weight:[o.NumberSpec,1],hatch_extra:[o.AnyScalar,{}]},t.TextVector={text_color:[o.ColorSpec,\"#444444\"],text_alpha:[o.NumberSpec,1],text_font:[o.FontSpec,\"helvetica\"],text_font_size:[o.FontSizeSpec,\"16px\"],text_font_style:[o.FontStyleSpec,\"normal\"],text_align:[o.TextAlignSpec,\"left\"],text_baseline:[o.TextBaselineSpec,\"bottom\"],text_line_height:[o.NumberSpec,1.2]},t.attrs_of=function(e,l,t,a=!1){const c={};for(const r of _.keys(t)){const t=`${l}${r}`,o=e[t];c[a?t:r]=o}return c}},\n", " function _(l,t,e,i,s){i();const o=l(1),a=l(47),r=o.__importStar(l(48)),c=l(22);class _ extends a.VisualProperties{get doit(){const l=this.fill_color.get_value(),t=this.fill_alpha.get_value();return!(null==l||0==t)}set_value(l){const t=this.fill_color.get_value(),e=this.fill_alpha.get_value();l.fillStyle=c.color2css(t,e)}}e.Fill=_,_.__name__=\"Fill\";class n extends a.VisualUniforms{get doit(){const l=this.fill_color.value,t=this.fill_alpha.value;return!(0==l||0==t)}set_value(l){const t=this.fill_color.value,e=this.fill_alpha.value;l.fillStyle=c.color2css(t,e)}}e.FillScalar=n,n.__name__=\"FillScalar\";class p extends a.VisualUniforms{get doit(){const{fill_color:l}=this;if(l.is_Scalar()&&0==l.value)return!1;const{fill_alpha:t}=this;return!t.is_Scalar()||0!=t.value}set_vectorize(l,t){const e=this.fill_color.get(t),i=this.fill_alpha.get(t);l.fillStyle=c.color2css(e,i)}}e.FillVector=p,p.__name__=\"FillVector\",_.prototype.type=\"fill\",_.prototype.attrs=Object.keys(r.Fill),n.prototype.type=\"fill\",n.prototype.attrs=Object.keys(r.FillScalar),p.prototype.type=\"fill\",p.prototype.attrs=Object.keys(r.FillVector)},\n", " function _(t,e,s,l,a){l();const o=t(1),_=t(47),i=o.__importStar(t(48)),n=t(22);class x extends _.VisualProperties{get doit(){const t=this.text_color.get_value(),e=this.text_alpha.get_value();return!(null==t||0==e)}set_value(t){const e=this.text_color.get_value(),s=this.text_alpha.get_value();t.fillStyle=n.color2css(e,s),t.font=this.font_value(),t.textAlign=this.text_align.get_value(),t.textBaseline=this.text_baseline.get_value()}font_value(){return`${this.text_font_style.get_value()} ${this.text_font_size.get_value()} ${this.text_font.get_value()}`}}s.Text=x,x.__name__=\"Text\";class r extends _.VisualUniforms{get doit(){const t=this.text_color.value,e=this.text_alpha.value;return!(0==t||0==e)}set_value(t){const e=this.text_color.value,s=this.text_alpha.value,l=this.font_value(),a=this.text_align.value,o=this.text_baseline.value;t.fillStyle=n.color2css(e,s),t.font=l,t.textAlign=a,t.textBaseline=o}font_value(){return`${this.text_font_style.value} ${this.text_font_size.value} ${this.text_font.value}`}}s.TextScalar=r,r.__name__=\"TextScalar\";class u extends _.VisualUniforms{get doit(){const{text_color:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{text_alpha:e}=this;return!e.is_Scalar()||0!=e.value}set_vectorize(t,e){const s=this.text_color.get(e),l=this.text_alpha.get(e),a=this.font_value(e),o=this.text_align.get(e),_=this.text_baseline.get(e);t.fillStyle=n.color2css(s,l),t.font=a,t.textAlign=o,t.textBaseline=_}font_value(t){return`${this.text_font_style.get(t)} ${this.text_font_size.get(t)} ${this.text_font.get(t)}`}}s.TextVector=u,u.__name__=\"TextVector\",x.prototype.type=\"text\",x.prototype.attrs=Object.keys(i.Text),r.prototype.type=\"text\",r.prototype.attrs=Object.keys(i.TextScalar),u.prototype.type=\"text\",u.prototype.attrs=Object.keys(i.TextVector)},\n", " function _(t,e,a,h,r){h();const i=t(1),s=t(47),c=t(52),n=i.__importStar(t(18)),_=i.__importStar(t(48));class l extends s.VisualProperties{constructor(){super(...arguments),this._update_iteration=0}update(){if(this._update_iteration++,this._hatch_image=null,!this.doit)return;const t=this.hatch_color.get_value(),e=this.hatch_alpha.get_value(),a=this.hatch_scale.get_value(),h=this.hatch_pattern.get_value(),r=this.hatch_weight.get_value(),i=t=>{this._hatch_image=t},s=this.hatch_extra.get_value()[h];if(null!=s){const h=s.get_pattern(t,e,a,r);if(h instanceof Promise){const{_update_iteration:t}=this;h.then((e=>{this._update_iteration==t&&(i(e),this.obj.request_render())}))}else i(h)}else{const s=this.obj.canvas.create_layer(),n=c.get_pattern(s,h,t,e,a,r);i(n)}}get doit(){const t=this.hatch_color.get_value(),e=this.hatch_alpha.get_value(),a=this.hatch_pattern.get_value();return!(null==t||0==e||\" \"==a||\"blank\"==a||null==a)}set_value(t){const e=this.pattern(t);t.fillStyle=null!=e?e:\"transparent\"}pattern(t){const e=this._hatch_image;return null==e?null:t.createPattern(e,this.repetition())}repetition(){const t=this.hatch_pattern.get_value(),e=this.hatch_extra.get_value()[t];if(null==e)return\"repeat\";switch(e.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.Hatch=l,l.__name__=\"Hatch\";class o extends s.VisualUniforms{constructor(){super(...arguments),this._static_doit=!1,this._update_iteration=0}_compute_static_doit(){const t=this.hatch_color.value,e=this.hatch_alpha.value,a=this.hatch_pattern.value;return!(null==t||0==e||\" \"==a||\"blank\"==a||null==a)}update(){this._update_iteration++;const t=this.hatch_color.length;if(this._hatch_image=new n.UniformScalar(null,t),this._static_doit=this._compute_static_doit(),!this._static_doit)return;const e=this.hatch_color.value,a=this.hatch_alpha.value,h=this.hatch_scale.value,r=this.hatch_pattern.value,i=this.hatch_weight.value,s=e=>{this._hatch_image=new n.UniformScalar(e,t)},_=this.hatch_extra.value[r];if(null!=_){const t=_.get_pattern(e,a,h,i);if(t instanceof Promise){const{_update_iteration:e}=this;t.then((t=>{this._update_iteration==e&&(s(t),this.obj.request_render())}))}else s(t)}else{const t=this.obj.canvas.create_layer(),n=c.get_pattern(t,r,e,a,h,i);s(n)}}get doit(){return this._static_doit}set_value(t){var e;t.fillStyle=null!==(e=this.pattern(t))&&void 0!==e?e:\"transparent\"}pattern(t){const e=this._hatch_image.value;return null==e?null:t.createPattern(e,this.repetition())}repetition(){const t=this.hatch_pattern.value,e=this.hatch_extra.value[t];if(null==e)return\"repeat\";switch(e.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.HatchScalar=o,o.__name__=\"HatchScalar\";class u extends s.VisualUniforms{constructor(){super(...arguments),this._static_doit=!1,this._update_iteration=0}_compute_static_doit(){const{hatch_color:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{hatch_alpha:e}=this;if(e.is_Scalar()&&0==e.value)return!1;const{hatch_pattern:a}=this;if(a.is_Scalar()){const t=a.value;if(\" \"==t||\"blank\"==t||null==t)return!1}return!0}update(){this._update_iteration++;const t=this.hatch_color.length;if(this._hatch_image=new n.UniformScalar(null,t),this._static_doit=this._compute_static_doit(),!this._static_doit)return;const e=(t,e,a,h,r,i)=>{const s=this.hatch_extra.value[t];if(null!=s){const t=s.get_pattern(e,a,h,r);if(t instanceof Promise){const{_update_iteration:e}=this;t.then((t=>{this._update_iteration==e&&(i(t),this.obj.request_render())}))}else i(t)}else{const s=this.obj.canvas.create_layer(),n=c.get_pattern(s,t,e,a,h,r);i(n)}};if(this.hatch_color.is_Scalar()&&this.hatch_alpha.is_Scalar()&&this.hatch_scale.is_Scalar()&&this.hatch_pattern.is_Scalar()&&this.hatch_weight.is_Scalar()){const a=this.hatch_color.value,h=this.hatch_alpha.value,r=this.hatch_scale.value;e(this.hatch_pattern.value,a,h,r,this.hatch_weight.value,(e=>{this._hatch_image=new n.UniformScalar(e,t)}))}else{const a=new Array(t);a.fill(null),this._hatch_image=new n.UniformVector(a);for(let h=0;h{a[h]=t}))}}}get doit(){return this._static_doit}set_vectorize(t,e){var a;t.fillStyle=null!==(a=this.pattern(t,e))&&void 0!==a?a:\"transparent\"}pattern(t,e){const a=this._hatch_image.get(e);return null==a?null:t.createPattern(a,this.repetition(e))}repetition(t){const e=this.hatch_pattern.get(t),a=this.hatch_extra.value[e];if(null==a)return\"repeat\";switch(a.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.HatchVector=u,u.__name__=\"HatchVector\",l.prototype.type=\"hatch\",l.prototype.attrs=Object.keys(_.Hatch),o.prototype.type=\"hatch\",o.prototype.attrs=Object.keys(_.HatchScalar),u.prototype.type=\"hatch\",u.prototype.attrs=Object.keys(_.HatchVector)},\n", " function _(e,o,a,s,r){s();const i=e(22);function l(e,o,a){e.moveTo(0,a+.5),e.lineTo(o,a+.5),e.stroke()}function n(e,o,a){e.moveTo(a+.5,0),e.lineTo(a+.5,o),e.stroke()}function t(e,o){e.moveTo(0,o),e.lineTo(o,0),e.stroke(),e.moveTo(0,0),e.lineTo(o,o),e.stroke()}a.hatch_aliases={\" \":\"blank\",\".\":\"dot\",o:\"ring\",\"-\":\"horizontal_line\",\"|\":\"vertical_line\",\"+\":\"cross\",'\"':\"horizontal_dash\",\":\":\"vertical_dash\",\"@\":\"spiral\",\"/\":\"right_diagonal_line\",\"\\\\\":\"left_diagonal_line\",x:\"diagonal_cross\",\",\":\"right_diagonal_dash\",\"`\":\"left_diagonal_dash\",v:\"horizontal_wave\",\">\":\"vertical_wave\",\"*\":\"criss_cross\"},a.get_pattern=function(e,o,s,r,c,k){return e.resize(c,c),e.prepare(),function(e,o,s,r,c,k){var _;const T=c,v=T/2,h=v/2,d=i.color2css(s,r);switch(e.strokeStyle=d,e.fillStyle=d,e.lineCap=\"square\",e.lineWidth=k,null!==(_=a.hatch_aliases[o])&&void 0!==_?_:o){case\"blank\":break;case\"dot\":e.arc(v,v,v/2,0,2*Math.PI,!0),e.fill();break;case\"ring\":e.arc(v,v,v/2,0,2*Math.PI,!0),e.stroke();break;case\"horizontal_line\":l(e,T,v);break;case\"vertical_line\":n(e,T,v);break;case\"cross\":l(e,T,v),n(e,T,v);break;case\"horizontal_dash\":l(e,v,v);break;case\"vertical_dash\":n(e,v,v);break;case\"spiral\":{const o=T/30;e.moveTo(v,v);for(let a=0;a<360;a++){const s=.1*a,r=v+o*s*Math.cos(s),i=v+o*s*Math.sin(s);e.lineTo(r,i)}e.stroke();break}case\"right_diagonal_line\":e.moveTo(.5-h,T),e.lineTo(h+.5,0),e.stroke(),e.moveTo(h+.5,T),e.lineTo(3*h+.5,0),e.stroke(),e.moveTo(3*h+.5,T),e.lineTo(5*h+.5,0),e.stroke(),e.stroke();break;case\"left_diagonal_line\":e.moveTo(h+.5,T),e.lineTo(.5-h,0),e.stroke(),e.moveTo(3*h+.5,T),e.lineTo(h+.5,0),e.stroke(),e.moveTo(5*h+.5,T),e.lineTo(3*h+.5,0),e.stroke(),e.stroke();break;case\"diagonal_cross\":t(e,T);break;case\"right_diagonal_dash\":e.moveTo(h+.5,3*h+.5),e.lineTo(3*h+.5,h+.5),e.stroke();break;case\"left_diagonal_dash\":e.moveTo(h+.5,h+.5),e.lineTo(3*h+.5,3*h+.5),e.stroke();break;case\"horizontal_wave\":e.moveTo(0,h),e.lineTo(v,3*h),e.lineTo(T,h),e.stroke();break;case\"vertical_wave\":e.moveTo(h,0),e.lineTo(3*h,v),e.lineTo(h,T),e.stroke();break;case\"criss_cross\":t(e,T),l(e,T,v),n(e,T,v)}}(e.ctx,o,s,r,c,k),e.canvas}},\n", " function _(e,t,s,n,c){n();const a=e(14),i=e(8),r=e(13),l=e(19);class o extends a.HasProps{constructor(e){super(e)}get is_syncable(){return this.syncable}static init_Model(){this.define((({Any:e,Unknown:t,Boolean:s,String:n,Array:c,Dict:a,Nullable:i})=>({tags:[c(t),[]],name:[i(n),null],js_property_callbacks:[a(c(e)),{}],js_event_callbacks:[a(c(e)),{}],subscribed_events:[c(n),[]],syncable:[s,!0]})))}initialize(){super.initialize(),this._js_callbacks=new Map}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,(()=>this._update_property_callbacks())),this.connect(this.properties.js_event_callbacks.change,(()=>this._update_event_callbacks())),this.connect(this.properties.subscribed_events.change,(()=>this._update_event_callbacks()))}_process_event(e){var t;for(const s of null!==(t=this.js_event_callbacks[e.event_name])&&void 0!==t?t:[])s.execute(e);null!=this.document&&this.subscribed_events.some((t=>t==e.event_name))&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this):l.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const[t,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of r.entries(this.js_property_callbacks)){const n=s.map((e=>()=>e.execute(this)));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){r.isEmpty(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if(i.isString(e))return[...this.references()].filter((t=>t instanceof o&&t.name===e));if(e.prototype instanceof a.HasProps)return[...this.references()].filter((t=>t instanceof e));throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=o,o.__name__=\"Model\",o.init_Model()},\n", " function _(s,e,_,t,a){t();class r{constructor(s,e){this.x_scale=s,this.y_scale=e,this.x_range=this.x_scale.source_range,this.y_range=this.y_scale.source_range,this.ranges=[this.x_range,this.y_range],this.scales=[this.x_scale,this.y_scale]}map_to_screen(s,e){return[this.x_scale.v_compute(s),this.y_scale.v_compute(e)]}map_from_screen(s,e){return[this.x_scale.v_invert(s),this.y_scale.v_invert(e)]}}_.CoordinateTransform=r,r.__name__=\"CoordinateTransform\"},\n", " function _(t,e,s,a,i){a();const n=t(1),_=t(56),r=t(133),o=t(48),l=t(20),d=t(24),h=t(122),c=n.__importStar(t(18)),u=t(10);class v extends _.DataAnnotationView{async lazy_initialize(){await super.lazy_initialize();const{start:t,end:e}=this.model;null!=t&&(this.start=await h.build_view(t,{parent:this})),null!=e&&(this.end=await h.build_view(e,{parent:this}))}set_data(t){var e,s;super.set_data(t),null===(e=this.start)||void 0===e||e.set_data(t),null===(s=this.end)||void 0===s||s.set_data(t)}remove(){var t,e;null===(t=this.start)||void 0===t||t.remove(),null===(e=this.end)||void 0===e||e.remove(),super.remove()}map_data(){const{frame:t}=this.plot_view;\"data\"==this.model.start_units?(this._sx_start=this.coordinates.x_scale.v_compute(this._x_start),this._sy_start=this.coordinates.y_scale.v_compute(this._y_start)):(this._sx_start=t.bbox.xview.v_compute(this._x_start),this._sy_start=t.bbox.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(this._sx_end=this.coordinates.x_scale.v_compute(this._x_end),this._sy_end=this.coordinates.y_scale.v_compute(this._y_end)):(this._sx_end=t.bbox.xview.v_compute(this._x_end),this._sy_end=t.bbox.yview.v_compute(this._y_end));const{_sx_start:e,_sy_start:s,_sx_end:a,_sy_end:i}=this,n=e.length,_=this._angles=new d.ScreenArray(n);for(let t=0;t({x_start:[c.XCoordinateSpec,{field:\"x_start\"}],y_start:[c.YCoordinateSpec,{field:\"y_start\"}],start_units:[l.SpatialUnits,\"data\"],start:[e(t(r.ArrowHead)),null],x_end:[c.XCoordinateSpec,{field:\"x_end\"}],y_end:[c.YCoordinateSpec,{field:\"y_end\"}],end_units:[l.SpatialUnits,\"data\"],end:[e(t(r.ArrowHead)),()=>new r.OpenHead]})))}}s.Arrow=p,p.__name__=\"Arrow\",p.init_Arrow()},\n", " function _(t,n,s,a,e){a();const i=t(1),o=t(40),c=t(57),_=t(130),r=t(65),l=i.__importStar(t(18));class h extends o.AnnotationView{constructor(){super(...arguments),this._initial_set_data=!1}connect_signals(){super.connect_signals();const t=()=>{this.set_data(this.model.source),this.request_render()};this.connect(this.model.change,t),this.connect(this.model.source.streaming,t),this.connect(this.model.source.patching,t),this.connect(this.model.source.change,t)}set_data(t){const n=this;for(const s of this.model)if(s instanceof l.VectorSpec||s instanceof l.ScalarSpec)if(s instanceof l.BaseCoordinateSpec){const a=s.array(t);n[`_${s.attr}`]=a}else{const a=s.uniform(t);n[`${s.attr}`]=a}this.plot_model.use_map&&(null!=n._x&&r.inplace.project_xy(n._x,n._y),null!=n._xs&&r.inplace.project_xsys(n._xs,n._ys));for(const t of this.visuals)t.update()}_render(){this._initial_set_data||(this.set_data(this.model.source),this._initial_set_data=!0),this.map_data(),this.paint(this.layer.ctx)}}s.DataAnnotationView=h,h.__name__=\"DataAnnotationView\";class u extends o.Annotation{constructor(t){super(t)}static init_DataAnnotation(){this.define((({Ref:t})=>({source:[t(c.ColumnarDataSource),()=>new _.ColumnDataSource]})))}}s.DataAnnotation=u,u.__name__=\"DataAnnotation\",u.init_DataAnnotation()},\n", " function _(t,e,n,a,i){a();const s=t(58),r=t(15),l=t(19),o=t(60),c=t(8),u=t(9),h=t(13),g=t(59),d=t(129),_=t(29);class m extends s.DataSource{constructor(t){super(t)}get_array(t){let e=this.data[t];return null==e?this.data[t]=e=[]:c.isArray(e)||(this.data[t]=e=Array.from(e)),e}static init_ColumnarDataSource(){this.define((({Ref:t})=>({selection_policy:[t(d.SelectionPolicy),()=>new d.UnionRenderers]}))),this.internal((({AnyRef:t})=>({selection_manager:[t(),t=>new o.SelectionManager({source:t})],inspected:[t(),()=>new g.Selection]})))}initialize(){super.initialize(),this._select=new r.Signal0(this,\"select\"),this.inspect=new r.Signal(this,\"inspect\"),this.streaming=new r.Signal0(this,\"streaming\"),this.patching=new r.Signal(this,\"patching\")}get_column(t){const e=this.data[t];return null!=e?e:null}columns(){return h.keys(this.data)}get_length(t=!0){const e=u.uniq(h.values(this.data).map((t=>_.is_NDArray(t)?t.shape[0]:t.length)));switch(e.length){case 0:return null;case 1:return e[0];default:{const n=\"data source has columns of inconsistent lengths\";if(t)return l.logger.warn(n),e.sort()[0];throw new Error(n)}}}get length(){var t;return null!==(t=this.get_length())&&void 0!==t?t:0}clear(){const t={};for(const e of this.columns())t[e]=new this.data[e].constructor(0);this.data=t}}n.ColumnarDataSource=m,m.__name__=\"ColumnarDataSource\",m.init_ColumnarDataSource()},\n", " function _(e,t,c,n,a){n();const o=e(53),i=e(59);class s extends o.Model{constructor(e){super(e)}static init_DataSource(){this.define((({Ref:e})=>({selected:[e(i.Selection),()=>new i.Selection]})))}}c.DataSource=s,s.__name__=\"DataSource\",s.init_DataSource()},\n", " function _(i,e,s,t,n){t();const l=i(53),c=i(9),h=i(13);class d extends l.Model{constructor(i){super(i)}get_view(){return this.view}static init_Selection(){this.define((({Int:i,Array:e,Dict:s})=>({indices:[e(i),[]],line_indices:[e(i),[]],multiline_indices:[s(e(i)),{}]}))),this.internal((({Int:i,Array:e,AnyRef:s,Struct:t,Nullable:n})=>({selected_glyphs:[e(s()),[]],view:[n(s()),null],image_indices:[e(t({index:i,dim1:i,dim2:i,flat_index:i})),[]]})))}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e=!0,s=\"replace\"){switch(s){case\"replace\":this.indices=i.indices,this.line_indices=i.line_indices,this.selected_glyphs=i.selected_glyphs,this.view=i.view,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices;break;case\"append\":this.update_through_union(i);break;case\"intersect\":this.update_through_intersection(i);break;case\"subtract\":this.update_through_subtraction(i)}}clear(){this.indices=[],this.line_indices=[],this.multiline_indices={},this.view=null,this.selected_glyphs=[]}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=c.union(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=c.intersection(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=c.difference(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)}}s.Selection=d,d.__name__=\"Selection\",d.init_Selection()},\n", " function _(e,t,s,n,i){n();const o=e(14),c=e(59),r=e(61),l=e(123);class p extends o.HasProps{constructor(e){super(e),this.inspectors=new Map}static init_SelectionManager(){this.internal((({AnyRef:e})=>({source:[e()]})))}select(e,t,s,n=\"replace\"){const i=[],o=[];for(const t of e)t instanceof r.GlyphRendererView?i.push(t):t instanceof l.GraphRendererView&&o.push(t);let c=!1;for(const e of o){const i=e.model.selection_policy.hit_test(t,e);c=c||e.model.selection_policy.do_selection(i,e.model,s,n)}if(i.length>0){const e=this.source.selection_policy.hit_test(t,i);c=c||this.source.selection_policy.do_selection(e,this.source,s,n)}return c}inspect(e,t){let s=!1;if(e instanceof r.GlyphRendererView){const n=e.hit_test(t);if(null!=n){s=!n.is_empty();const i=this.get_or_create_inspector(e.model);i.update(n,!0,\"replace\"),this.source.setv({inspected:i},{silent:!0}),this.source.inspect.emit([e.model,{geometry:t}])}}else if(e instanceof l.GraphRendererView){const n=e.model.inspection_policy.hit_test(t,e);s=s||e.model.inspection_policy.do_inspection(n,t,e,!1,\"replace\")}return s}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){let t=this.inspectors.get(e);return null==t&&(t=new c.Selection,this.inspectors.set(e,t)),t}}s.SelectionManager=p,p.__name__=\"SelectionManager\",p.init_SelectionManager()},\n", " function _(e,t,i,s,l){s();const h=e(62),n=e(63),o=e(116),a=e(117),c=e(119),d=e(98),_=e(57),r=e(120),p=e(24),g=e(12),u=e(9),y=e(13),m=e(122),v=e(104),f={fill:{},line:{}},w={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},b={fill:{fill_alpha:.2},line:{}};class V extends h.DataRendererView{get glyph_view(){return this.glyph}async lazy_initialize(){var e,t;await super.lazy_initialize();const i=this.model.glyph;this.glyph=await this.build_glyph_view(i);const s=\"fill\"in this.glyph.visuals,l=\"line\"in this.glyph.visuals,h=Object.assign({},i.attributes);function n(e){const t=y.clone(h);return s&&y.extend(t,e.fill),l&&y.extend(t,e.line),new i.constructor(t)}delete h.id;let{selection_glyph:o}=this.model;null==o?o=n({fill:{},line:{}}):\"auto\"==o&&(o=n(f)),this.selection_glyph=await this.build_glyph_view(o);let{nonselection_glyph:a}=this.model;null==a?a=n({fill:{},line:{}}):\"auto\"==a&&(a=n(b)),this.nonselection_glyph=await this.build_glyph_view(a);const{hover_glyph:c}=this.model;null!=c&&(this.hover_glyph=await this.build_glyph_view(c));const{muted_glyph:d}=this.model;null!=d&&(this.muted_glyph=await this.build_glyph_view(d));const _=n(w);this.decimated_glyph=await this.build_glyph_view(_),this.selection_glyph.set_base(this.glyph),this.nonselection_glyph.set_base(this.glyph),null===(e=this.hover_glyph)||void 0===e||e.set_base(this.glyph),null===(t=this.muted_glyph)||void 0===t||t.set_base(this.glyph),this.decimated_glyph.set_base(this.glyph),this.set_data()}async build_glyph_view(e){return m.build_view(e,{parent:this})}remove(){var e,t;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),null===(t=this.muted_glyph)||void 0===t||t.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals();const e=()=>this.request_render(),t=()=>this.update_data();this.connect(this.model.change,e),this.connect(this.glyph.model.change,t),this.connect(this.selection_glyph.model.change,t),this.connect(this.nonselection_glyph.model.change,t),null!=this.hover_glyph&&this.connect(this.hover_glyph.model.change,t),null!=this.muted_glyph&&this.connect(this.muted_glyph.model.change,t),this.connect(this.decimated_glyph.model.change,t),this.connect(this.model.data_source.change,t),this.connect(this.model.data_source.streaming,t),this.connect(this.model.data_source.patching,(e=>this.update_data(e))),this.connect(this.model.data_source.selected.change,e),this.connect(this.model.data_source._select,e),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,e),this.connect(this.model.properties.view.change,t),this.connect(this.model.view.properties.indices.change,t),this.connect(this.model.view.properties.masked.change,(()=>this.set_visuals())),this.connect(this.model.properties.visible.change,(()=>this.plot_view.invalidate_dataranges=!0));const{x_ranges:i,y_ranges:s}=this.plot_view.frame;for(const[,e]of i)e instanceof v.FactorRange&&this.connect(e.change,t);for(const[,e]of s)e instanceof v.FactorRange&&this.connect(e.change,t);const{transformchange:l,exprchange:h}=this.model.glyph;this.connect(l,t),this.connect(h,t)}_update_masked_indices(){const e=this.glyph.mask_data();return this.model.view.masked=e,e}update_data(e){this.set_data(e),this.request_render()}set_data(e){const t=this.model.data_source;this.all_indices=this.model.view.indices;const{all_indices:i}=this;this.glyph.set_data(t,i,e),this.set_visuals(),this._update_masked_indices();const{lod_factor:s}=this.plot_model,l=this.all_indices.count;this.decimated=new p.Indices(l);for(let e=0;e!d||d.is_empty()?[]:d.selected_glyph?this.model.view.convert_indices_from_subset(i):d.indices.length>0?d.indices:Object.keys(d.multiline_indices).map((e=>parseInt(e))))()),r=g.filter(i,(e=>_.has(t[e]))),{lod_threshold:p}=this.plot_model;let y,m,v;if(null!=this.model.document&&this.model.document.interactive_duration()>0&&!e&&null!=p&&t.length>p?(i=[...this.decimated],y=this.decimated_glyph,m=this.decimated_glyph,v=this.selection_glyph):(y=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,m=this.nonselection_glyph,v=this.selection_glyph),null!=this.hover_glyph&&r.length&&(i=u.difference(i,r)),h.length){const e={};for(const t of h)e[t]=!0;const l=new Array,o=new Array;if(this.glyph instanceof n.LineView)for(const i of t)null!=e[i]?l.push(i):o.push(i);else for(const s of i)null!=e[t[s]]?l.push(s):o.push(s);m.render(s,o),v.render(s,l),null!=this.hover_glyph&&(this.glyph instanceof n.LineView?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(r)):this.hover_glyph.render(s,r))}else if(this.glyph instanceof n.LineView)this.hover_glyph&&r.length?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(r)):y.render(s,t);else if(this.glyph instanceof o.PatchView||this.glyph instanceof a.HAreaView||this.glyph instanceof c.VAreaView)if(0==d.selected_glyphs.length||null==this.hover_glyph)y.render(s,t);else for(const e of d.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(s,t);else y.render(s,i),this.hover_glyph&&r.length&&this.hover_glyph.render(s,r);s.restore()}draw_legend(e,t,i,s,l,h,n,o){0!=this.glyph.data_size&&(null==o&&(o=this.model.get_reference_point(h,n)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o))}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=V,V.__name__=\"GlyphRendererView\";class G extends h.DataRenderer{constructor(e){super(e)}static init_GlyphRenderer(){this.prototype.default_view=V,this.define((({Boolean:e,Auto:t,Or:i,Ref:s,Null:l,Nullable:h})=>({data_source:[s(_.ColumnarDataSource)],view:[s(r.CDSView),e=>new r.CDSView({source:e.data_source})],glyph:[s(d.Glyph)],hover_glyph:[h(s(d.Glyph)),null],nonselection_glyph:[i(s(d.Glyph),t,l),\"auto\"],selection_glyph:[i(s(d.Glyph),t,l),\"auto\"],muted_glyph:[h(s(d.Glyph)),null],muted:[e,!1]})))}initialize(){super.initialize(),this.view.source!=this.data_source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){if(null!=e){const i=this.data_source.get_column(e);if(null!=i)for(const[e,s]of Object.entries(this.view.indices_map))if(i[parseInt(e)]==t)return s}return 0}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=G,G.__name__=\"GlyphRenderer\",G.init_GlyphRenderer()},\n", " function _(e,r,t,a,n){a();const s=e(41);class i extends s.RendererView{get xscale(){return this.coordinates.x_scale}get yscale(){return this.coordinates.y_scale}}t.DataRendererView=i,i.__name__=\"DataRendererView\";class _ extends s.Renderer{constructor(e){super(e)}static init_DataRenderer(){this.override({level:\"glyph\"})}get selection_manager(){return this.get_selection_manager()}}t.DataRenderer=_,_.__name__=\"DataRenderer\",_.init_DataRenderer()},\n", " function _(e,i,t,s,n){s();const l=e(1),_=e(64),r=e(106),h=e(108),o=l.__importStar(e(48)),a=l.__importStar(e(107)),c=e(59);class d extends _.XYGlyphView{initialize(){super.initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;null!=e&&(this.glglyph=new h.LineGL(e.gl,this))}_render(e,i,t){const{sx:s,sy:n}=null!=t?t:this;let l=!0;e.beginPath();for(const t of i){const i=s[t],_=n[t];isFinite(i+_)?l?(e.moveTo(i,_),l=!1):e.lineTo(i,_):l=!0}this.visuals.line.set_value(e),e.stroke()}_hit_point(e){const i=new c.Selection,t={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.line_width.value/2);for(let e=0,l=this.sx.length-1;e({x:[p.XCoordinateSpec,{field:\"x\"}],y:[p.YCoordinateSpec,{field:\"y\"}]})))}}i.XYGlyph=d,d.__name__=\"XYGlyph\",d.init_XYGlyph()},\n", " function _(n,t,e,o,r){o();const c=n(1),l=c.__importDefault(n(66)),i=c.__importDefault(n(67)),u=n(24),a=new i.default(\"GOOGLE\"),s=new i.default(\"WGS84\"),f=l.default(s,a);e.wgs84_mercator={compute:(n,t)=>isFinite(n)&&isFinite(t)?f.forward([n,t]):[NaN,NaN],invert:(n,t)=>isFinite(n)&&isFinite(t)?f.inverse([n,t]):[NaN,NaN]};const _={lon:[-20026376.39,20026376.39],lat:[-20048966.1,20048966.1]},p={lon:[-180,180],lat:[-85.06,85.06]},{min:g,max:h}=Math;function m(n,t){const o=g(n.length,t.length),r=u.infer_type(n,t),c=new r(o),l=new r(o);return e.inplace.project_xy(n,t,c,l),[c,l]}e.clip_mercator=function(n,t,e){const[o,r]=_[e];return[h(n,o),g(t,r)]},e.in_bounds=function(n,t){const[e,o]=p[t];return e2?void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name?\"number\"==typeof r.z?[r.x,r.y,r.z].concat(t.splice(3)):[r.x,r.y,t[2]].concat(t.splice(3)):[r.x,r.y].concat(t.splice(2)):[r.x,r.y]):(o=c.default(e,n,t),2===(a=Object.keys(t)).length||a.forEach((function(r){if(void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name){if(\"x\"===r||\"y\"===r||\"z\"===r)return}else if(\"x\"===r||\"y\"===r)return;o[r]=t[r]})),o)}function l(e){return e instanceof i.default?e:e.oProj?e.oProj:i.default(e)}t.default=function(e,n,t){e=l(e);var r,o=!1;return void 0===n?(n=e,e=u,o=!0):(void 0!==n.x||Array.isArray(n))&&(t=n,n=e,e=u,o=!0),n=l(n),t?f(e,n,t):(r={forward:function(t){return f(e,n,t)},inverse:function(t){return f(n,e,t)}},o&&(r.oProj=n),r)}},\n", " function _(t,e,a,s,i){s();const u=t(1),l=u.__importDefault(t(68)),o=u.__importDefault(t(79)),r=u.__importDefault(t(80)),f=t(88),p=u.__importDefault(t(90)),d=u.__importDefault(t(91)),m=u.__importDefault(t(75));function n(t,e){if(!(this instanceof n))return new n(t);e=e||function(t){if(t)throw t};var a=l.default(t);if(\"object\"==typeof a){var s=n.projections.get(a.projName);if(s){if(a.datumCode&&\"none\"!==a.datumCode){var i=m.default(p.default,a.datumCode);i&&(a.datum_params=i.towgs84?i.towgs84.split(\",\"):null,a.ellps=i.ellipse,a.datumName=i.datumName?i.datumName:a.datumCode)}a.k0=a.k0||1,a.axis=a.axis||\"enu\",a.ellps=a.ellps||\"wgs84\";var u=f.sphere(a.a,a.b,a.rf,a.ellps,a.sphere),r=f.eccentricity(u.a,u.b,u.rf,a.R_A),h=a.datum||d.default(a.datumCode,a.datum_params,u.a,u.b,r.es,r.ep2);o.default(this,a),o.default(this,s),this.a=u.a,this.b=u.b,this.rf=u.rf,this.sphere=u.sphere,this.es=r.es,this.e=r.e,this.ep2=r.ep2,this.datum=h,this.init(),e(null,this)}else e(t)}else e(t)}n.projections=r.default,n.projections.start(),a.default=n},\n", " function _(t,r,n,u,e){u();const f=t(1),i=f.__importDefault(t(69)),a=f.__importDefault(t(76)),o=f.__importDefault(t(71)),l=f.__importDefault(t(75));var C=[\"PROJECTEDCRS\",\"PROJCRS\",\"GEOGCS\",\"GEOCCS\",\"PROJCS\",\"LOCAL_CS\",\"GEODCRS\",\"GEODETICCRS\",\"GEODETICDATUM\",\"ENGCRS\",\"ENGINEERINGCRS\"];var d=[\"3857\",\"900913\",\"3785\",\"102113\"];n.default=function(t){if(!function(t){return\"string\"==typeof t}(t))return t;if(function(t){return t in i.default}(t))return i.default[t];if(function(t){return C.some((function(r){return t.indexOf(r)>-1}))}(t)){var r=a.default(t);if(function(t){var r=l.default(t,\"authority\");if(r){var n=l.default(r,\"epsg\");return n&&d.indexOf(n)>-1}}(r))return i.default[\"EPSG:3857\"];var n=function(t){var r=l.default(t,\"extension\");if(r)return l.default(r,\"proj4\")}(r);return n?o.default(n):r}return function(t){return\"+\"===t[0]}(t)?o.default(t):void 0}},\n", " function _(t,r,i,e,n){e();const f=t(1),a=f.__importDefault(t(70)),l=f.__importDefault(t(71)),u=f.__importDefault(t(76));function o(t){var r=this;if(2===arguments.length){var i=arguments[1];\"string\"==typeof i?\"+\"===i.charAt(0)?o[t]=l.default(arguments[1]):o[t]=u.default(arguments[1]):o[t]=i}else if(1===arguments.length){if(Array.isArray(t))return t.map((function(t){Array.isArray(t)?o.apply(r,t):o(t)}));if(\"string\"==typeof t){if(t in o)return o[t]}else\"EPSG\"in t?o[\"EPSG:\"+t.EPSG]=t:\"ESRI\"in t?o[\"ESRI:\"+t.ESRI]=t:\"IAU2000\"in t?o[\"IAU2000:\"+t.IAU2000]=t:console.log(t);return}}a.default(o),i.default=o},\n", " function _(t,l,G,S,e){S(),G.default=function(t){t(\"EPSG:4326\",\"+title=WGS 84 (long/lat) +proj=longlat +ellps=WGS84 +datum=WGS84 +units=degrees\"),t(\"EPSG:4269\",\"+title=NAD83 (long/lat) +proj=longlat +a=6378137.0 +b=6356752.31414036 +ellps=GRS80 +datum=NAD83 +units=degrees\"),t(\"EPSG:3857\",\"+title=WGS 84 / Pseudo-Mercator +proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0 +k=1.0 +units=m +nadgrids=@null +no_defs\"),t.WGS84=t[\"EPSG:4326\"],t[\"EPSG:3785\"]=t[\"EPSG:3857\"],t.GOOGLE=t[\"EPSG:3857\"],t[\"EPSG:900913\"]=t[\"EPSG:3857\"],t[\"EPSG:102113\"]=t[\"EPSG:3857\"]}},\n", " function _(t,n,o,a,u){a();const e=t(1),r=t(72),i=e.__importDefault(t(73)),f=e.__importDefault(t(74)),l=e.__importDefault(t(75));o.default=function(t){var n,o,a,u={},e=t.split(\"+\").map((function(t){return t.trim()})).filter((function(t){return t})).reduce((function(t,n){var o=n.split(\"=\");return o.push(!0),t[o[0].toLowerCase()]=o[1],t}),{}),c={proj:\"projName\",datum:\"datumCode\",rf:function(t){u.rf=parseFloat(t)},lat_0:function(t){u.lat0=t*r.D2R},lat_1:function(t){u.lat1=t*r.D2R},lat_2:function(t){u.lat2=t*r.D2R},lat_ts:function(t){u.lat_ts=t*r.D2R},lon_0:function(t){u.long0=t*r.D2R},lon_1:function(t){u.long1=t*r.D2R},lon_2:function(t){u.long2=t*r.D2R},alpha:function(t){u.alpha=parseFloat(t)*r.D2R},lonc:function(t){u.longc=t*r.D2R},x_0:function(t){u.x0=parseFloat(t)},y_0:function(t){u.y0=parseFloat(t)},k_0:function(t){u.k0=parseFloat(t)},k:function(t){u.k0=parseFloat(t)},a:function(t){u.a=parseFloat(t)},b:function(t){u.b=parseFloat(t)},r_a:function(){u.R_A=!0},zone:function(t){u.zone=parseInt(t,10)},south:function(){u.utmSouth=!0},towgs84:function(t){u.datum_params=t.split(\",\").map((function(t){return parseFloat(t)}))},to_meter:function(t){u.to_meter=parseFloat(t)},units:function(t){u.units=t;var n=l.default(f.default,t);n&&(u.to_meter=n.to_meter)},from_greenwich:function(t){u.from_greenwich=t*r.D2R},pm:function(t){var n=l.default(i.default,t);u.from_greenwich=(n||parseFloat(t))*r.D2R},nadgrids:function(t){\"@null\"===t?u.datumCode=\"none\":u.nadgrids=t},axis:function(t){var n=\"ewnsud\";3===t.length&&-1!==n.indexOf(t.substr(0,1))&&-1!==n.indexOf(t.substr(1,1))&&-1!==n.indexOf(t.substr(2,1))&&(u.axis=t)}};for(n in e)o=e[n],n in c?\"function\"==typeof(a=c[n])?a(o):u[a]=o:u[n]=o;return\"string\"==typeof u.datumCode&&\"WGS84\"!==u.datumCode&&(u.datumCode=u.datumCode.toLowerCase()),u}},\n", " function _(P,A,_,D,I){D(),_.PJD_3PARAM=1,_.PJD_7PARAM=2,_.PJD_WGS84=4,_.PJD_NODATUM=5,_.SEC_TO_RAD=484813681109536e-20,_.HALF_PI=Math.PI/2,_.SIXTH=.16666666666666666,_.RA4=.04722222222222222,_.RA6=.022156084656084655,_.EPSLN=1e-10,_.D2R=.017453292519943295,_.R2D=57.29577951308232,_.FORTPI=Math.PI/4,_.TWO_PI=2*Math.PI,_.SPI=3.14159265359},\n", " function _(o,r,a,e,s){e();var n={};a.default=n,n.greenwich=0,n.lisbon=-9.131906111111,n.paris=2.337229166667,n.bogota=-74.080916666667,n.madrid=-3.687938888889,n.rome=12.452333333333,n.bern=7.439583333333,n.jakarta=106.807719444444,n.ferro=-17.666666666667,n.brussels=4.367975,n.stockholm=18.058277777778,n.athens=23.7163375,n.oslo=10.722916666667},\n", " function _(t,e,f,o,u){o(),f.default={ft:{to_meter:.3048},\"us-ft\":{to_meter:1200/3937}}},\n", " function _(e,r,t,a,n){a();var o=/[\\s_\\-\\/\\(\\)]/g;t.default=function(e,r){if(e[r])return e[r];for(var t,a=Object.keys(e),n=r.toLowerCase().replace(o,\"\"),f=-1;++f0?90:-90),e.lat_ts=e.lat1)}(d),d}},\n", " function _(t,e,r,i,s){i(),r.default=function(t){return new d(t).output()};var h=/\\s/,o=/[A-Za-z]/,n=/[A-Za-z84]/,a=/[,\\]]/,u=/[\\d\\.E\\-\\+]/;function d(t){if(\"string\"!=typeof t)throw new Error(\"not a string\");this.text=t.trim(),this.level=0,this.place=0,this.root=null,this.stack=[],this.currentObject=null,this.state=1}d.prototype.readCharicter=function(){var t=this.text[this.place++];if(4!==this.state)for(;h.test(t);){if(this.place>=this.text.length)return;t=this.text[this.place++]}switch(this.state){case 1:return this.neutral(t);case 2:return this.keyword(t);case 4:return this.quoted(t);case 5:return this.afterquote(t);case 3:return this.number(t);case-1:return}},d.prototype.afterquote=function(t){if('\"'===t)return this.word+='\"',void(this.state=4);if(a.test(t))return this.word=this.word.trim(),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in afterquote yet, index '+this.place)},d.prototype.afterItem=function(t){return\",\"===t?(null!==this.word&&this.currentObject.push(this.word),this.word=null,void(this.state=1)):\"]\"===t?(this.level--,null!==this.word&&(this.currentObject.push(this.word),this.word=null),this.state=1,this.currentObject=this.stack.pop(),void(this.currentObject||(this.state=-1))):void 0},d.prototype.number=function(t){if(!u.test(t)){if(a.test(t))return this.word=parseFloat(this.word),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in number yet, index '+this.place)}this.word+=t},d.prototype.quoted=function(t){'\"'!==t?this.word+=t:this.state=5},d.prototype.keyword=function(t){if(n.test(t))this.word+=t;else{if(\"[\"===t){var e=[];return e.push(this.word),this.level++,null===this.root?this.root=e:this.currentObject.push(e),this.stack.push(this.currentObject),this.currentObject=e,void(this.state=1)}if(!a.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in keyword yet, index '+this.place);this.afterItem(t)}},d.prototype.neutral=function(t){if(o.test(t))return this.word=t,void(this.state=2);if('\"'===t)return this.word=\"\",void(this.state=4);if(u.test(t))return this.word=t,void(this.state=3);if(!a.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in neutral yet, index '+this.place);this.afterItem(t)},d.prototype.output=function(){for(;this.place90&&a*o.R2D<-90&&h*o.R2D>180&&h*o.R2D<-180)return null;if(Math.abs(Math.abs(a)-o.HALF_PI)<=o.EPSLN)return null;if(this.sphere)i=this.x0+this.a*this.k0*n.default(h-this.long0),s=this.y0+this.a*this.k0*Math.log(Math.tan(o.FORTPI+.5*a));else{var e=Math.sin(a),r=l.default(this.e,a,e);i=this.x0+this.a*this.k0*n.default(h-this.long0),s=this.y0-this.a*this.k0*Math.log(r)}return t.x=i,t.y=s,t}function M(t){var i,s,h=t.x-this.x0,a=t.y-this.y0;if(this.sphere)s=o.HALF_PI-2*Math.atan(Math.exp(-a/(this.a*this.k0)));else{var e=Math.exp(-a/(this.a*this.k0));if(-9999===(s=u.default(this.e,e)))return null}return i=n.default(this.long0+h/(this.a*this.k0)),t.x=i,t.y=s,t}s.init=f,s.forward=_,s.inverse=M,s.names=[\"Mercator\",\"Popular Visualisation Pseudo Mercator\",\"Mercator_1SP\",\"Mercator_Auxiliary_Sphere\",\"merc\"],s.default={init:f,forward:_,inverse:M,names:s.names}},\n", " function _(t,n,r,u,a){u(),r.default=function(t,n,r){var u=t*n;return r/Math.sqrt(1-u*u)}},\n", " function _(t,n,u,a,f){a();const e=t(1),o=t(72),_=e.__importDefault(t(84));u.default=function(t){return Math.abs(t)<=o.SPI?t:t-_.default(t)*o.TWO_PI}},\n", " function _(n,t,u,f,c){f(),u.default=function(n){return n<0?-1:1}},\n", " function _(t,n,a,o,u){o();const c=t(72);a.default=function(t,n,a){var o=t*a,u=.5*t;return o=Math.pow((1-o)/(1+o),u),Math.tan(.5*(c.HALF_PI-n))/o}},\n", " function _(t,a,n,r,f){r();const h=t(72);n.default=function(t,a){for(var n,r,f=.5*t,o=h.HALF_PI-2*Math.atan(a),u=0;u<=15;u++)if(n=t*Math.sin(o),o+=r=h.HALF_PI-2*Math.atan(a*Math.pow((1-n)/(1+n),f))-o,Math.abs(r)<=1e-10)return o;return-9999}},\n", " function _(n,i,e,t,r){function a(){}function f(n){return n}t(),e.init=a,e.forward=f,e.inverse=f,e.names=[\"longlat\",\"identity\"],e.default={init:a,forward:f,inverse:f,names:e.names}},\n", " function _(t,r,e,a,n){a();const f=t(1),i=t(72),u=f.__importStar(t(89)),c=f.__importDefault(t(75));e.eccentricity=function(t,r,e,a){var n=t*t,f=r*r,u=(n-f)/n,c=0;return a?(n=(t*=1-u*(i.SIXTH+u*(i.RA4+u*i.RA6)))*t,u=0):c=Math.sqrt(u),{es:u,e:c,ep2:(n-f)/f}},e.sphere=function(t,r,e,a,n){if(!t){var f=c.default(u.default,a);f||(f=u.WGS84),t=f.a,r=f.b,e=f.rf}return e&&!r&&(r=(1-1/e)*t),(0===e||Math.abs(t-r)3&&(0===r.datum_params[3]&&0===r.datum_params[4]&&0===r.datum_params[5]&&0===r.datum_params[6]||(r.datum_type=p.PJD_7PARAM,r.datum_params[3]*=p.SEC_TO_RAD,r.datum_params[4]*=p.SEC_TO_RAD,r.datum_params[5]*=p.SEC_TO_RAD,r.datum_params[6]=r.datum_params[6]/1e6+1))),r.a=_,r.b=t,r.es=u,r.ep2=d,r}},\n", " function _(t,e,a,r,u){r();const m=t(1),_=t(72),o=m.__importDefault(t(93)),d=m.__importDefault(t(95)),f=m.__importDefault(t(67)),n=m.__importDefault(t(96)),i=m.__importDefault(t(97));a.default=function t(e,a,r){var u;if(Array.isArray(r)&&(r=n.default(r)),i.default(r),e.datum&&a.datum&&function(t,e){return(t.datum.datum_type===_.PJD_3PARAM||t.datum.datum_type===_.PJD_7PARAM)&&\"WGS84\"!==e.datumCode||(e.datum.datum_type===_.PJD_3PARAM||e.datum.datum_type===_.PJD_7PARAM)&&\"WGS84\"!==t.datumCode}(e,a)&&(r=t(e,u=new f.default(\"WGS84\"),r),e=u),\"enu\"!==e.axis&&(r=d.default(e,!1,r)),\"longlat\"===e.projName)r={x:r.x*_.D2R,y:r.y*_.D2R,z:r.z||0};else if(e.to_meter&&(r={x:r.x*e.to_meter,y:r.y*e.to_meter,z:r.z||0}),!(r=e.inverse(r)))return;return e.from_greenwich&&(r.x+=e.from_greenwich),r=o.default(e.datum,a.datum,r),a.from_greenwich&&(r={x:r.x-a.from_greenwich,y:r.y,z:r.z||0}),\"longlat\"===a.projName?r={x:r.x*_.R2D,y:r.y*_.R2D,z:r.z||0}:(r=a.forward(r),a.to_meter&&(r={x:r.x/a.to_meter,y:r.y/a.to_meter,z:r.z||0})),\"enu\"!==a.axis?d.default(a,!0,r):r}},\n", " function _(t,e,a,u,c){u();const m=t(72),o=t(94);function _(t){return t===m.PJD_3PARAM||t===m.PJD_7PARAM}a.default=function(t,e,a){return o.compareDatums(t,e)||t.datum_type===m.PJD_NODATUM||e.datum_type===m.PJD_NODATUM?a:t.es!==e.es||t.a!==e.a||_(t.datum_type)||_(e.datum_type)?(a=o.geodeticToGeocentric(a,t.es,t.a),_(t.datum_type)&&(a=o.geocentricToWgs84(a,t.datum_type,t.datum_params)),_(e.datum_type)&&(a=o.geocentricFromWgs84(a,e.datum_type,e.datum_params)),o.geocentricToGeodetic(a,e.es,e.a,e.b)):a}},\n", " function _(a,t,r,m,s){m();const u=a(72);r.compareDatums=function(a,t){return a.datum_type===t.datum_type&&(!(a.a!==t.a||Math.abs(a.es-t.es)>5e-11)&&(a.datum_type===u.PJD_3PARAM?a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]:a.datum_type!==u.PJD_7PARAM||a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]&&a.datum_params[3]===t.datum_params[3]&&a.datum_params[4]===t.datum_params[4]&&a.datum_params[5]===t.datum_params[5]&&a.datum_params[6]===t.datum_params[6]))},r.geodeticToGeocentric=function(a,t,r){var m,s,_,e,n=a.x,d=a.y,i=a.z?a.z:0;if(d<-u.HALF_PI&&d>-1.001*u.HALF_PI)d=-u.HALF_PI;else if(d>u.HALF_PI&&d<1.001*u.HALF_PI)d=u.HALF_PI;else{if(d<-u.HALF_PI)return{x:-1/0,y:-1/0,z:a.z};if(d>u.HALF_PI)return{x:1/0,y:1/0,z:a.z}}return n>Math.PI&&(n-=2*Math.PI),s=Math.sin(d),e=Math.cos(d),_=s*s,{x:((m=r/Math.sqrt(1-t*_))+i)*e*Math.cos(n),y:(m+i)*e*Math.sin(n),z:(m*(1-t)+i)*s}},r.geocentricToGeodetic=function(a,t,r,m){var s,_,e,n,d,i,p,P,y,z,M,o,A,c,x,h=1e-12,f=a.x,I=a.y,F=a.z?a.z:0;if(s=Math.sqrt(f*f+I*I),_=Math.sqrt(f*f+I*I+F*F),s/r1e-24&&A<30);return{x:c,y:Math.atan(M/Math.abs(z)),z:x}},r.geocentricToWgs84=function(a,t,r){if(t===u.PJD_3PARAM)return{x:a.x+r[0],y:a.y+r[1],z:a.z+r[2]};if(t===u.PJD_7PARAM){var m=r[0],s=r[1],_=r[2],e=r[3],n=r[4],d=r[5],i=r[6];return{x:i*(a.x-d*a.y+n*a.z)+m,y:i*(d*a.x+a.y-e*a.z)+s,z:i*(-n*a.x+e*a.y+a.z)+_}}},r.geocentricFromWgs84=function(a,t,r){if(t===u.PJD_3PARAM)return{x:a.x-r[0],y:a.y-r[1],z:a.z-r[2]};if(t===u.PJD_7PARAM){var m=r[0],s=r[1],_=r[2],e=r[3],n=r[4],d=r[5],i=r[6],p=(a.x-m)/i,P=(a.y-s)/i,y=(a.z-_)/i;return{x:p+d*P-n*y,y:-d*p+P+e*y,z:n*p-e*P+y}}}},\n", " function _(e,a,i,r,s){r(),i.default=function(e,a,i){var r,s,n,c=i.x,d=i.y,f=i.z||0,u={};for(n=0;n<3;n++)if(!a||2!==n||void 0!==i.z)switch(0===n?(r=c,s=-1!==\"ew\".indexOf(e.axis[n])?\"x\":\"y\"):1===n?(r=d,s=-1!==\"ns\".indexOf(e.axis[n])?\"y\":\"x\"):(r=f,s=\"z\"),e.axis[n]){case\"e\":u[s]=r;break;case\"w\":u[s]=-r;break;case\"n\":u[s]=r;break;case\"s\":u[s]=-r;break;case\"u\":void 0!==i[s]&&(u.z=r);break;case\"d\":void 0!==i[s]&&(u.z=-r);break;default:return null}return u}},\n", " function _(n,t,e,u,f){u(),e.default=function(n){var t={x:n[0],y:n[1]};return n.length>2&&(t.z=n[2]),n.length>3&&(t.m=n[3]),t}},\n", " function _(e,i,n,t,r){function o(e){if(\"function\"==typeof Number.isFinite){if(Number.isFinite(e))return;throw new TypeError(\"coordinates must be finite numbers\")}if(\"number\"!=typeof e||e!=e||!isFinite(e))throw new TypeError(\"coordinates must be finite numbers\")}t(),n.default=function(e){o(e.x),o(e.y)}},\n", " function _(e,t,s,i,n){i();const r=e(1),a=r.__importStar(e(18)),o=r.__importStar(e(99)),_=r.__importStar(e(45)),l=e(42),c=e(53),h=e(19),d=e(24),u=e(8),f=e(100),p=e(12),g=e(26),y=e(101),x=e(104),v=e(59),{abs:b,ceil:m}=Math;class w extends l.View{constructor(){super(...arguments),this._index=null,this._data_size=null,this._nohit_warned=new Set}get renderer(){return this.parent}get has_webgl(){return null!=this.glglyph}get index(){const{_index:e}=this;if(null!=e)return e;throw new Error(`${this}.index_data() wasn't called`)}get data_size(){const{_data_size:e}=this;if(null!=e)return e;throw new Error(`${this}.set_data() wasn't called`)}initialize(){super.initialize(),this.visuals=new _.Visuals(this)}request_render(){this.parent.request_render()}get canvas(){return this.renderer.parent.canvas_view}render(e,t,s){var i;null!=this.glglyph&&(this.renderer.needs_webgl_blit=this.glglyph.render(e,t,null!==(i=this.base)&&void 0!==i?i:this),this.renderer.needs_webgl_blit)||(e.beginPath(),this._render(e,t,null!=s?s:this.base))}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(e){return e}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const{x0:e,x1:t}=this.index.bounds(o.positive_x()),{y0:s,y1:i}=this.index.bounds(o.positive_y());return this._bounds({x0:e,y0:s,x1:t,y1:i})}get_anchor_point(e,t,[s,i]){switch(e){case\"center\":case\"center_center\":{const[e,n]=this.scenterxy(t,s,i);return{x:e,y:n}}default:return null}}scenterx(e,t,s){return this.scenterxy(e,t,s)[0]}scentery(e,t,s){return this.scenterxy(e,t,s)[1]}sdist(e,t,s,i=\"edge\",n=!1){const r=t.length,a=new d.ScreenArray(r),o=e.s_compute;if(\"center\"==i)for(let e=0;em(e))),a}draw_legend_for_index(e,t,s){}hit_test(e){switch(e.type){case\"point\":if(null!=this._hit_point)return this._hit_point(e);break;case\"span\":if(null!=this._hit_span)return this._hit_span(e);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(e);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(e)}return this._nohit_warned.has(e.type)||(h.logger.debug(`'${e.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(e.type)),null}_hit_rect_against_index(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,[r,a]=this.renderer.coordinates.x_scale.r_invert(t,s),[o,_]=this.renderer.coordinates.y_scale.r_invert(i,n),l=[...this.index.indices({x0:r,x1:a,y0:o,y1:_})];return new v.Selection({indices:l})}_project_data(){}*_iter_visuals(){for(const e of this.visuals)for(const t of e)(t instanceof a.VectorSpec||t instanceof a.ScalarSpec)&&(yield t)}set_base(e){e!=this&&e instanceof this.constructor&&(this.base=e)}_configure(e,t){Object.defineProperty(this,u.isString(e)?e:e.attr,Object.assign({configurable:!0,enumerable:!0},t))}set_visuals(e,t){var s;for(const s of this._iter_visuals()){const{base:i}=this;if(null!=i){const e=i.model.properties[s.attr];if(null!=e&&g.is_equal(s.get_value(),e.get_value())){this._configure(s,{get:()=>i[`${s.attr}`]});continue}}const n=s.uniform(e).select(t);this._configure(s,{value:n})}for(const e of this.visuals)e.update();null===(s=this.glglyph)||void 0===s||s.set_visuals_changed()}set_data(e,t,s){var i;const{x_range:n,y_range:r}=this.renderer.coordinates,o=new Set(this._iter_visuals());this._data_size=t.count;for(const s of this.model)if((s instanceof a.VectorSpec||s instanceof a.ScalarSpec)&&!o.has(s))if(s instanceof a.BaseCoordinateSpec){const i=s.array(e);let o=t.select(i);const _=\"x\"==s.dimension?n:r;if(_ instanceof x.FactorRange)if(s instanceof a.CoordinateSpec)o=_.v_synthetic(o);else if(s instanceof a.CoordinateSeqSpec)for(let e=0;e=0&&r>=0))throw new Error(`invalid bbox {x: ${i}, y: ${e}, width: ${h}, height: ${r}}`);this.x0=i,this.y0=e,this.x1=i+h,this.y1=e+r}else{let i,e,h,r;if(\"width\"in t)if(\"left\"in t)i=t.left,e=i+t.width;else if(\"right\"in t)e=t.right,i=e-t.width;else{const h=t.width/2;i=t.hcenter-h,e=t.hcenter+h}else i=t.left,e=t.right;if(\"height\"in t)if(\"top\"in t)h=t.top,r=h+t.height;else if(\"bottom\"in t)r=t.bottom,h=r-t.height;else{const i=t.height/2;h=t.vcenter-i,r=t.vcenter+i}else h=t.top,r=t.bottom;if(!(i<=e&&h<=r))throw new Error(`invalid bbox {left: ${i}, top: ${h}, right: ${e}, bottom: ${r}}`);this.x0=i,this.y0=h,this.x1=e,this.y1=r}}static from_rect({left:t,right:i,top:e,bottom:h}){return new o({x0:Math.min(t,i),y0:Math.min(e,h),x1:Math.max(t,i),y1:Math.max(e,h)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}[n.equals](t,i){return i.eq(this.x0,t.x0)&&i.eq(this.y0,t.y0)&&i.eq(this.x1,t.x1)&&i.eq(this.y1,t.y1)}toString(){return`BBox({left: ${this.left}, top: ${this.top}, width: ${this.width}, height: ${this.height}})`}get left(){return this.x0}get top(){return this.y0}get right(){return this.x1}get bottom(){return this.y1}get p0(){return[this.x0,this.y0]}get p1(){return[this.x1,this.y1]}get x(){return this.x0}get y(){return this.y0}get width(){return this.x1-this.x0}get height(){return this.y1-this.y0}get size(){return{width:this.width,height:this.height}}get rect(){const{x0:t,y0:i,x1:e,y1:h}=this;return{p0:{x:t,y:i},p1:{x:e,y:i},p2:{x:e,y:h},p3:{x:t,y:h}}}get box(){const{x:t,y:i,width:e,height:h}=this;return{x:t,y:i,width:e,height:h}}get h_range(){return{start:this.x0,end:this.x1}}get v_range(){return{start:this.y0,end:this.y1}}get ranges(){return[this.h_range,this.v_range]}get aspect(){return this.width/this.height}get hcenter(){return(this.left+this.right)/2}get vcenter(){return(this.top+this.bottom)/2}get area(){return this.width*this.height}relative(){const{width:t,height:i}=this;return new o({x:0,y:0,width:t,height:i})}translate(t,i){const{x:e,y:h,width:r,height:s}=this;return new o({x:t+e,y:i+h,width:r,height:s})}relativize(t,i){return[t-this.x,i-this.y]}contains(t,i){return this.x0<=t&&t<=this.x1&&this.y0<=i&&i<=this.y1}clip(t,i){return tthis.x1&&(t=this.x1),ithis.y1&&(i=this.y1),[t,i]}grow_by(t){return new o({left:this.left-t,right:this.right+t,top:this.top-t,bottom:this.bottom+t})}shrink_by(t){return new o({left:this.left+t,right:this.right-t,top:this.top+t,bottom:this.bottom-t})}union(t){return new o({x0:x(this.x0,t.x0),y0:x(this.y0,t.y0),x1:y(this.x1,t.x1),y1:y(this.y1,t.y1)})}intersection(t){return this.intersects(t)?new o({x0:y(this.x0,t.x0),y0:y(this.y0,t.y0),x1:x(this.x1,t.x1),y1:x(this.y1,t.y1)}):null}intersects(t){return!(t.x1this.x1||t.y1this.y1)}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new s.ScreenArray(t.length),e=this.left;for(let h=0;hthis.bottom-t,v_compute:t=>{const i=new s.ScreenArray(t.length),e=this.bottom;for(let h=0;h{const s=new Uint32Array(r);for(let n=0;n>1;i[s]>n?e=s:t=s+1}return i[t]}class r extends o.default{search_indices(n,i,t,e){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let s=this._boxes.length-4;const o=[],x=new d.Indices(this.numItems);for(;void 0!==s;){const d=Math.min(s+4*this.nodeSize,h(s,this._levelBounds));for(let h=s;h>2];tthis._boxes[h+2]||i>this._boxes[h+3]||(s<4*this.numItems?x.set(d):o.push(d)))}s=o.pop()}return x}}r.__name__=\"_FlatBush\";class l{constructor(n){this.index=null,n>0&&(this.index=new r(n))}add(n,i,t,e){var s;null===(s=this.index)||void 0===s||s.add(n,i,t,e)}add_empty(){var n;null===(n=this.index)||void 0===n||n.add(1/0,1/0,-1/0,-1/0)}finish(){var n;null===(n=this.index)||void 0===n||n.finish()}_normalize(n){let{x0:i,y0:t,x1:e,y1:s}=n;return i>e&&([i,e]=[e,i]),t>s&&([t,s]=[s,t]),{x0:i,y0:t,x1:e,y1:s}}get bbox(){if(null==this.index)return x.empty();{const{minX:n,minY:i,maxX:t,maxY:e}=this.index;return{x0:n,y0:i,x1:t,y1:e}}}indices(n){if(null==this.index)return new d.Indices(0);{const{x0:i,y0:t,x1:e,y1:s}=this._normalize(n);return this.index.search_indices(i,t,e,s)}}bounds(n){const i=x.empty();for(const t of this.indices(n)){const n=this.index._boxes,e=n[4*t+0],s=n[4*t+1],o=n[4*t+2],d=n[4*t+3];ei.x1&&(i.x1=o),si.y1&&(i.y1=d)}return i}}t.SpatialIndex=l,l.__name__=\"SpatialIndex\"},\n", " function _(t,s,i,e,h){e();const n=t(1).__importDefault(t(103)),o=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class r{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(i>>4!=3)throw new Error(`Got v${i>>4} data when expected v3.`);const[e]=new Uint16Array(t,2,1),[h]=new Uint32Array(t,4,1);return new r(h,e,o[15&i],t)}constructor(t,s=16,i=Float64Array,e){if(void 0===t)throw new Error(\"Missing required argument: numItems.\");if(isNaN(t)||t<=0)throw new Error(`Unpexpected numItems value: ${t}.`);this.numItems=+t,this.nodeSize=Math.min(Math.max(+s,2),65535);let h=t,r=h;this._levelBounds=[4*h];do{h=Math.ceil(h/this.nodeSize),r+=h,this._levelBounds.push(4*r)}while(1!==h);this.ArrayType=i||Float64Array,this.IndexArrayType=r<16384?Uint16Array:Uint32Array;const a=o.indexOf(this.ArrayType),_=4*r*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(`Unexpected typed array class: ${i}.`);e&&e instanceof ArrayBuffer?(this.data=e,this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=4*r,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+_+r*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=s,new Uint32Array(this.data,4,1)[0]=t),this._queue=new n.default}add(t,s,i,e){const h=this._pos>>2;return this._indices[h]=h,this._boxes[this._pos++]=t,this._boxes[this._pos++]=s,this._boxes[this._pos++]=i,this._boxes[this._pos++]=e,tthis.maxX&&(this.maxX=i),e>this.maxY&&(this.maxY=e),h}finish(){if(this._pos>>2!==this.numItems)throw new Error(`Added ${this._pos>>2} items when expected ${this.numItems}.`);if(this.numItems<=this.nodeSize)return this._boxes[this._pos++]=this.minX,this._boxes[this._pos++]=this.minY,this._boxes[this._pos++]=this.maxX,void(this._boxes[this._pos++]=this.maxY);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let e=0;e>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=[],r=[];for(;void 0!==n;){const a=Math.min(n+4*this.nodeSize,_(n,this._levelBounds));for(let _=n;_>2];ithis._boxes[_+2]||s>this._boxes[_+3]||(n<4*this.numItems?(void 0===h||h(a))&&r.push(a):o.push(a)))}n=o.pop()}return r}neighbors(t,s,i=1/0,e=1/0,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=this._queue,r=[],x=e*e;for(;void 0!==n;){const e=Math.min(n+4*this.nodeSize,_(n,this._levelBounds));for(let i=n;i>2],r=a(t,this._boxes[i],this._boxes[i+2]),_=a(s,this._boxes[i+1],this._boxes[i+3]),x=r*r+_*_;n<4*this.numItems?(void 0===h||h(e))&&o.push(-e-1,x):o.push(e,x)}for(;o.length&&o.peek()<0;){if(o.peekValue()>x)return o.clear(),r;if(r.push(-o.pop()-1),r.length===i)return o.clear(),r}n=o.pop()}return o.clear(),r}}function a(t,s,i){return t>1;s[h]>t?e=h:i=h+1}return s[i]}function x(t,s,i,e,h,n){if(Math.floor(e/n)>=Math.floor(h/n))return;const o=t[e+h>>1];let r=e-1,a=h+1;for(;;){do{r++}while(t[r]o);if(r>=a)break;d(t,s,i,r,a)}x(t,s,i,e,a,n),x(t,s,i,a+1,h,n)}function d(t,s,i,e,h){const n=t[e];t[e]=t[h],t[h]=n;const o=4*e,r=4*h,a=s[o],_=s[o+1],x=s[o+2],d=s[o+3];s[o]=s[r],s[o+1]=s[r+1],s[o+2]=s[r+2],s[o+3]=s[r+3],s[r]=a,s[r+1]=_,s[r+2]=x,s[r+3]=d;const m=i[e];i[e]=i[h],i[h]=m}function m(t,s){let i=t^s,e=65535^i,h=65535^(t|s),n=t&(65535^s),o=i|e>>1,r=i>>1^i,a=h>>1^e&n>>1^h,_=i&h>>1^n>>1^n;i=o,e=r,h=a,n=_,o=i&i>>2^e&e>>2,r=i&e>>2^e&(i^e)>>2,a^=i&h>>2^e&n>>2,_^=e&h>>2^(i^e)&n>>2,i=o,e=r,h=a,n=_,o=i&i>>4^e&e>>4,r=i&e>>4^e&(i^e)>>4,a^=i&h>>4^e&n>>4,_^=e&h>>4^(i^e)&n>>4,i=o,e=r,h=a,n=_,a^=i&h>>8^e&n>>8,_^=e&h>>8^(i^e)&n>>8,i=a^a>>1,e=_^_>>1;let x=t^s,d=e|65535^(x|i);return x=16711935&(x|x<<8),x=252645135&(x|x<<4),x=858993459&(x|x<<2),x=1431655765&(x|x<<1),d=16711935&(d|d<<8),d=252645135&(d|d<<4),d=858993459&(d|d<<2),d=1431655765&(d|d<<1),(d<<1|x)>>>0}i.default=r},\n", " function _(s,t,i,h,e){h();i.default=class{constructor(){this.ids=[],this.values=[],this.length=0}clear(){this.length=0}push(s,t){let i=this.length++;for(this.ids[i]=s,this.values[i]=t;i>0;){const s=i-1>>1,h=this.values[s];if(t>=h)break;this.ids[i]=this.ids[s],this.values[i]=h,i=s}this.ids[i]=s,this.values[i]=t}pop(){if(0===this.length)return;const s=this.ids[0];if(this.length--,this.length>0){const s=this.ids[0]=this.ids[this.length],t=this.values[0]=this.values[this.length],i=this.length>>1;let h=0;for(;h=t)break;this.ids[h]=e,this.values[h]=l,h=s}this.ids[h]=s,this.values[h]=t}return s}peek(){if(0!==this.length)return this.ids[0]}peekValue(){if(0!==this.length)return this.values[0]}}},\n", " function _(t,n,e,i,s){i();const r=t(105),a=t(20),o=t(21),g=t(24),p=t(9),c=t(8),l=t(11);function u(t,n,e=0){const i=new Map;for(let s=0;sa.get(t).value)));r.set(t,{value:l/s,mapping:a}),o+=s+n+c}return[r,(a.size-1)*n+g]}function d(t,n,e,i,s=0){var r;const a=new Map,o=new Map;for(const[n,e,i]of t){const t=null!==(r=o.get(n))&&void 0!==r?r:[];o.set(n,[...t,[e,i]])}let g=s,c=0;for(const[t,s]of o){const r=s.length,[o,l]=h(s,e,i,g);c+=l;const u=p.sum(s.map((([t])=>o.get(t).value)));a.set(t,{value:u/r,mapping:o}),g+=r+n+l}return[a,(o.size-1)*n+c]}e.Factor=o.Or(o.String,o.Tuple(o.String,o.String),o.Tuple(o.String,o.String,o.String)),e.FactorSeq=o.Or(o.Array(o.String),o.Array(o.Tuple(o.String,o.String)),o.Array(o.Tuple(o.String,o.String,o.String))),e.map_one_level=u,e.map_two_levels=h,e.map_three_levels=d;class _ extends r.Range{constructor(t){super(t)}static init_FactorRange(){this.define((({Number:t})=>({factors:[e.FactorSeq,[]],factor_padding:[t,0],subgroup_padding:[t,.8],group_padding:[t,1.4],range_padding:[t,0],range_padding_units:[a.PaddingUnits,\"percent\"],start:[t],end:[t]}))),this.internal((({Number:t,String:n,Array:e,Tuple:i,Nullable:s})=>({levels:[t],mids:[s(e(i(n,n))),null],tops:[s(e(n)),null]})))}get min(){return this.start}get max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,(()=>this.reset())),this.connect(this.properties.factor_padding.change,(()=>this.reset())),this.connect(this.properties.group_padding.change,(()=>this.reset())),this.connect(this.properties.subgroup_padding.change,(()=>this.reset())),this.connect(this.properties.range_padding.change,(()=>this.reset())),this.connect(this.properties.range_padding_units.change,(()=>this.reset()))}reset(){this._init(!1),this.change.emit()}_lookup(t){switch(t.length){case 1:{const[n]=t,e=this._mapping.get(n);return null!=e?e.value:NaN}case 2:{const[n,e]=t,i=this._mapping.get(n);if(null!=i){const t=i.mapping.get(e);if(null!=t)return t.value}return NaN}case 3:{const[n,e,i]=t,s=this._mapping.get(n);if(null!=s){const t=s.mapping.get(e);if(null!=t){const n=t.mapping.get(i);if(null!=n)return n.value}}return NaN}default:l.unreachable()}}synthetic(t){if(c.isNumber(t))return t;if(c.isString(t))return this._lookup([t]);let n=0;const e=t[t.length-1];return c.isNumber(e)&&(n=e,t=t.slice(0,-1)),this._lookup(t)+n}v_synthetic(t){const n=t.length,e=new g.ScreenArray(n);for(let i=0;i{if(p.every(this.factors,c.isString)){const t=this.factors,[n,e]=u(t,this.factor_padding);return{levels:1,mapping:n,tops:null,mids:null,inside_padding:e}}if(p.every(this.factors,(t=>c.isArray(t)&&2==t.length&&c.isString(t[0])&&c.isString(t[1])))){const t=this.factors,[n,e]=h(t,this.group_padding,this.factor_padding),i=[...n.keys()];return{levels:2,mapping:n,tops:i,mids:null,inside_padding:e}}if(p.every(this.factors,(t=>c.isArray(t)&&3==t.length&&c.isString(t[0])&&c.isString(t[1])&&c.isString(t[2])))){const t=this.factors,[n,e]=d(t,this.group_padding,this.subgroup_padding,this.factor_padding),i=[...n.keys()],s=[];for(const[t,e]of n)for(const n of e.mapping.keys())s.push([t,n]);return{levels:3,mapping:n,tops:i,mids:s,inside_padding:e}}l.unreachable()})();this._mapping=e,this.tops=i,this.mids=s;let a=0,o=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(o-a)*this.range_padding/2;a-=t,o+=t}else a-=this.range_padding,o+=this.range_padding;this.setv({start:a,end:o,levels:n},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,o]},{silent:!0})}}e.FactorRange=_,_.__name__=\"FactorRange\",_.init_FactorRange()},\n", " function _(e,t,i,n,s){n();const a=e(53);class l extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}static init_Range(){this.define((({Number:e,Tuple:t,Or:i,Auto:n,Nullable:s})=>({bounds:[s(i(t(s(e),s(e)),n)),null],min_interval:[s(e),null],max_interval:[s(e),null]}))),this.internal((({Array:e,AnyRef:t})=>({plots:[e(t()),[]]})))}get is_reversed(){return this.start>this.end}get is_valid(){return isFinite(this.min)&&isFinite(this.max)}}i.Range=l,l.__name__=\"Range\",l.init_Range()},\n", " function _(e,t,i,n,l){n();const o=e(1).__importStar(e(107));function a(e,t,{x0:i,x1:n,y0:l,y1:o},a){t.save(),t.beginPath(),t.moveTo(i,(l+o)/2),t.lineTo(n,(l+o)/2),e.line.doit&&(e.line.set_vectorize(t,a),t.stroke()),t.restore()}function r(e,t,{x0:i,x1:n,y0:l,y1:o},a){var r,c;const s=.1*Math.abs(n-i),_=.1*Math.abs(o-l),v=i+s,d=n-s,h=l+_,g=o-_;t.beginPath(),t.rect(v,h,d-v,g-h),e.fill.doit&&(e.fill.set_vectorize(t,a),t.fill()),(null===(r=e.hatch)||void 0===r?void 0:r.doit)&&(e.hatch.set_vectorize(t,a),t.fill()),(null===(c=e.line)||void 0===c?void 0:c.doit)&&(e.line.set_vectorize(t,a),t.stroke())}i.generic_line_scalar_legend=function(e,t,{x0:i,x1:n,y0:l,y1:o}){t.save(),t.beginPath(),t.moveTo(i,(l+o)/2),t.lineTo(n,(l+o)/2),e.line.doit&&(e.line.set_value(t),t.stroke()),t.restore()},i.generic_line_vector_legend=a,i.generic_line_legend=a,i.generic_area_scalar_legend=function(e,t,{x0:i,x1:n,y0:l,y1:o}){var a,r;const c=.1*Math.abs(n-i),s=.1*Math.abs(o-l),_=i+c,v=n-c,d=l+s,h=o-s;t.beginPath(),t.rect(_,d,v-_,h-d),e.fill.doit&&(e.fill.set_value(t),t.fill()),(null===(a=e.hatch)||void 0===a?void 0:a.doit)&&(e.hatch.set_value(t),t.fill()),(null===(r=e.line)||void 0===r?void 0:r.doit)&&(e.line.set_value(t),t.stroke())},i.generic_area_vector_legend=r,i.generic_area_legend=r,i.line_interpolation=function(e,t,i,n,l,a){const{sx:r,sy:c}=t;let s,_,v,d;\"point\"==t.type?([v,d]=e.yscale.r_invert(c-1,c+1),[s,_]=e.xscale.r_invert(r-1,r+1)):\"v\"==t.direction?([v,d]=e.yscale.r_invert(c,c),[s,_]=[Math.min(i-1,l-1),Math.max(i+1,l+1)]):([s,_]=e.xscale.r_invert(r,r),[v,d]=[Math.min(n-1,a-1),Math.max(n+1,a+1)]);const{x:h,y:g}=o.check_2_segments_intersect(s,v,_,d,i,n,l,a);return[h,g]}},\n", " function _(t,n,e,i,r){function s(t,n){return(t.x-n.x)**2+(t.y-n.y)**2}function o(t,n,e){const i=s(n,e);if(0==i)return s(t,n);const r=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/i;if(r<0)return s(t,n);if(r>1)return s(t,e);return s(t,{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}i(),e.point_in_poly=function(t,n,e,i){let r=!1,s=e[e.length-1],o=i[i.length-1];for(let u=0;u0&&_<1&&h>0&&h<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n", " function _(t,e,s,i,a){i();const o=t(1),n=t(109),_=t(113),r=o.__importDefault(t(114)),h=o.__importDefault(t(115)),l=t(22),g=t(46);class u{constructor(t){this._atlas=new Map,this._width=256,this._height=256,this.tex=new n.Texture2d(t),this.tex.set_wrapping(t.REPEAT,t.REPEAT),this.tex.set_interpolation(t.NEAREST,t.NEAREST),this.tex.set_size([this._width,this._height],t.RGBA),this.tex.set_data([0,0],[this._width,this._height],new Uint8Array(4*this._width*this._height)),this.get_atlas_data([1])}get_atlas_data(t){const e=t.join(\"-\");let s=this._atlas.get(e);if(null==s){const[i,a]=this.make_pattern(t),o=this._atlas.size;this.tex.set_data([0,o],[this._width,1],new Uint8Array(i.map((t=>t+10)))),s=[o/this._height,a],this._atlas.set(e,s)}return s}make_pattern(t){t.length>1&&t.length%2&&(t=t.concat(t));let e=0;for(const s of t)e+=s;const s=[];let i=0;for(let e=0,a=t.length+2;es[h]?-1:0,n=s[h-1],i=s[h]),o[4*t+0]=s[h],o[4*t+1]=_,o[4*t+2]=n,o[4*t+3]=i}return[o,e]}}u.__name__=\"DashAtlas\";const f={miter:0,round:1,bevel:2},c={\"\":0,none:0,\".\":0,round:1,\")\":1,\"(\":1,o:1,\"triangle in\":2,\"<\":2,\"triangle out\":3,\">\":3,square:4,\"[\":4,\"]\":4,\"=\":4,butt:5,\"|\":5};class d extends _.BaseGLGlyph{constructor(t,e){super(t,e),this.glyph=e,this._scale_aspect=0;const s=r.default,i=h.default;this.prog=new n.Program(t),this.prog.set_shaders(s,i),this.index_buffer=new n.IndexBuffer(t),this.vbo_position=new n.VertexBuffer(t),this.vbo_tangents=new n.VertexBuffer(t),this.vbo_segment=new n.VertexBuffer(t),this.vbo_angles=new n.VertexBuffer(t),this.vbo_texcoord=new n.VertexBuffer(t),this.dash_atlas=new u(t)}draw(t,e,s){const i=e.glglyph;if(i.data_changed&&(i._set_data(),i.data_changed=!1),this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1),i._update_scale(1,1),this._scale_aspect=1,this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord),this.prog.set_uniform(\"u_length\",\"float\",[i.cumsum]),this.prog.set_texture(\"u_dash_atlas\",this.dash_atlas.tex),this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[s.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[s.width,s.height]),this.prog.set_uniform(\"u_scale_aspect\",\"vec2\",[1,1]),this.prog.set_uniform(\"u_scale_length\",\"float\",[Math.sqrt(2)]),this.I_triangles=i.I_triangles,this.I_triangles.length<65535)this.index_buffer.set_size(2*this.I_triangles.length),this.index_buffer.set_data(0,new Uint16Array(this.I_triangles)),this.prog.draw(this.gl.TRIANGLES,this.index_buffer);else{t=Array.from(this.I_triangles);const e=this.I_triangles.length,s=64008,a=[];for(let t=0,i=Math.ceil(e/s);t1)for(let e=0;e0||console.log(`Variable ${t} is not an active attribute`));else if(this._unset_variables.has(t)&&this._unset_variables.delete(t),this.activate(),i instanceof r.VertexBuffer){const[r,o]=this.ATYPEINFO[e],l=\"vertexAttribPointer\",_=[r,o,n,s,a];this._attributes.set(t,[i.handle,h,l,_])}else{const s=this.ATYPEMAP[e];this._attributes.set(t,[null,h,s,i])}}_pre_draw(){this.activate();for(const[t,e,i]of this._samplers.values())this.gl.activeTexture(this.gl.TEXTURE0+i),this.gl.bindTexture(t,e);for(const[t,e,i,s]of this._attributes.values())null!=t?(this.gl.bindBuffer(this.gl.ARRAY_BUFFER,t),this.gl.enableVertexAttribArray(e),this.gl[i].apply(this.gl,[e,...s])):(this.gl.bindBuffer(this.gl.ARRAY_BUFFER,null),this.gl.disableVertexAttribArray(e),this.gl[i].apply(this.gl,[e,...s]));this._validated||(this._validated=!0,this._validate())}_validate(){if(this._unset_variables.size&&console.log(`Program has unset variables: ${this._unset_variables}`),this.gl.validateProgram(this.handle),!this.gl.getProgramParameter(this.handle,this.gl.VALIDATE_STATUS))throw console.log(this.gl.getProgramInfoLog(this.handle)),new Error(\"Program validation error\")}draw(t,e){if(!this._linked)throw new Error(\"Cannot draw program if code has not been set\");if(e instanceof r.IndexBuffer){this._pre_draw(),e.activate();const i=e.buffer_size/2,s=this.gl.UNSIGNED_SHORT;this.gl.drawElements(t,i,s,0),e.deactivate()}else{const[i,s]=e;0!=s&&(this._pre_draw(),this.gl.drawArrays(t,i,s))}}}i.Program=n,n.__name__=\"Program\"},\n", " function _(t,e,s,i,a){i();class r{constructor(t){this.gl=t,this._usage=35048,this.buffer_size=0,this.handle=this.gl.createBuffer()}delete(){this.gl.deleteBuffer(this.handle)}activate(){this.gl.bindBuffer(this._target,this.handle)}deactivate(){this.gl.bindBuffer(this._target,null)}set_size(t){t!=this.buffer_size&&(this.activate(),this.gl.bufferData(this._target,t,this._usage),this.buffer_size=t)}set_data(t,e){this.activate(),this.gl.bufferSubData(this._target,t,e)}}s.Buffer=r,r.__name__=\"Buffer\";class f extends r{constructor(){super(...arguments),this._target=34962}}s.VertexBuffer=f,f.__name__=\"VertexBuffer\";class h extends r{constructor(){super(...arguments),this._target=34963}}s.IndexBuffer=h,h.__name__=\"IndexBuffer\"},\n", " function _(t,e,i,a,r){a();const s=t(11);class h{constructor(t){this.gl=t,this._target=3553,this._types={Int8Array:5120,Uint8Array:5121,Int16Array:5122,Uint16Array:5123,Int32Array:5124,Uint32Array:5125,Float32Array:5126},this.handle=this.gl.createTexture()}delete(){this.gl.deleteTexture(this.handle)}activate(){this.gl.bindTexture(this._target,this.handle)}deactivate(){this.gl.bindTexture(this._target,0)}_get_alignment(t){const e=[4,8,2,1];for(const i of e)if(t%i==0)return i;s.unreachable()}set_wrapping(t,e){this.activate(),this.gl.texParameterf(this._target,this.gl.TEXTURE_WRAP_S,t),this.gl.texParameterf(this._target,this.gl.TEXTURE_WRAP_T,e)}set_interpolation(t,e){this.activate(),this.gl.texParameterf(this._target,this.gl.TEXTURE_MIN_FILTER,t),this.gl.texParameterf(this._target,this.gl.TEXTURE_MAG_FILTER,e)}set_size([t,e],i){var a,r,s;t==(null===(a=this._shape_format)||void 0===a?void 0:a.width)&&e==(null===(r=this._shape_format)||void 0===r?void 0:r.height)&&i==(null===(s=this._shape_format)||void 0===s?void 0:s.format)||(this._shape_format={width:t,height:e,format:i},this.activate(),this.gl.texImage2D(this._target,0,i,t,e,0,i,this.gl.UNSIGNED_BYTE,null))}set_data(t,[e,i],a){this.activate();const{format:r}=this._shape_format,[s,h]=t,l=this._types[a.constructor.name];if(null==l)throw new Error(`Type ${a.constructor.name} not allowed for texture`);const _=this._get_alignment(e);4!=_&&this.gl.pixelStorei(this.gl.UNPACK_ALIGNMENT,_),this.gl.texSubImage2D(this._target,0,s,h,e,i,r,l,a),4!=_&&this.gl.pixelStorei(this.gl.UNPACK_ALIGNMENT,4)}}i.Texture2d=h,h.__name__=\"Texture2d\"},\n", " function _(e,t,s,i,h){i();class a{constructor(e,t){this.gl=e,this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1}set_data_changed(){const{data_size:e}=this.glyph;e!=this.nvertices&&(this.nvertices=e,this.size_changed=!0),this.data_changed=!0}set_visuals_changed(){this.visuals_changed=!0}render(e,t,s){if(0==t.length)return!0;const{width:i,height:h}=this.glyph.renderer.plot_view.canvas_view.webgl.canvas,a={pixel_ratio:this.glyph.renderer.plot_view.canvas_view.pixel_ratio,width:i,height:h};return this.draw(t,s,a),!0}}s.BaseGLGlyph=a,a.__name__=\"BaseGLGlyph\"},\n", " function _(n,e,t,a,i){a();t.default=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size, u_offset;\\nuniform vec2 u_scale_aspect;\\nuniform float u_scale_length;\\n\\nuniform vec4 u_color;\\nuniform float u_antialias;\\nuniform float u_length;\\nuniform float u_linewidth;\\nuniform float u_dash_index;\\nuniform float u_closed;\\n\\nattribute vec2 a_position;\\nattribute vec4 a_tangents;\\nattribute vec2 a_segment;\\nattribute vec2 a_angles;\\nattribute vec2 a_texcoord;\\n\\nvarying vec4 v_color;\\nvarying vec2 v_segment;\\nvarying vec2 v_angles;\\nvarying vec2 v_texcoord;\\nvarying vec2 v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\nfloat cross(in vec2 v1, in vec2 v2)\\n{\\n return v1.x*v2.y - v1.y*v2.x;\\n}\\n\\nfloat signed_distance(in vec2 v1, in vec2 v2, in vec2 v3)\\n{\\n return cross(v2-v1,v1-v3) / length(v2-v1);\\n}\\n\\nvoid rotate( in vec2 v, in float alpha, out vec2 result )\\n{\\n float c = cos(alpha);\\n float s = sin(alpha);\\n result = vec2( c*v.x - s*v.y,\\n s*v.x + c*v.y );\\n}\\n\\nvoid main()\\n{\\n bool closed = (u_closed > 0.0);\\n\\n // Attributes and uniforms to varyings\\n v_color = u_color;\\n v_linewidth = u_linewidth;\\n v_segment = a_segment * u_scale_length;\\n v_length = u_length * u_scale_length;\\n\\n // Scale to map to pixel coordinates. The original algorithm from the paper\\n // assumed isotropic scale. We obviously do not have this.\\n vec2 abs_scale_aspect = abs(u_scale_aspect);\\n vec2 abs_scale = u_scale_length * abs_scale_aspect;\\n\\n // Correct angles for aspect ratio\\n vec2 av;\\n av = vec2(1.0, tan(a_angles.x)) / abs_scale_aspect;\\n v_angles.x = atan(av.y, av.x);\\n av = vec2(1.0, tan(a_angles.y)) / abs_scale_aspect;\\n v_angles.y = atan(av.y, av.x);\\n\\n // Thickness below 1 pixel are represented using a 1 pixel thickness\\n // and a modified alpha\\n v_color.a = min(v_linewidth, v_color.a);\\n v_linewidth = max(v_linewidth, 1.0);\\n\\n // If color is fully transparent we just will discard the fragment anyway\\n if( v_color.a <= 0.0 ) {\\n gl_Position = vec4(0.0,0.0,0.0,1.0);\\n return;\\n }\\n\\n // This is the actual half width of the line\\n float w = ceil(u_antialias+v_linewidth)/2.0;\\n\\n vec2 position = a_position;\\n\\n vec2 t1 = normalize(a_tangents.xy * abs_scale_aspect); // note the scaling for aspect ratio here\\n vec2 t2 = normalize(a_tangents.zw * abs_scale_aspect);\\n float u = a_texcoord.x;\\n float v = a_texcoord.y;\\n vec2 o1 = vec2( +t1.y, -t1.x);\\n vec2 o2 = vec2( +t2.y, -t2.x);\\n\\n // This is a join\\n // ----------------------------------------------------------------\\n if( t1 != t2 ) {\\n float angle = atan (t1.x*t2.y-t1.y*t2.x, t1.x*t2.x+t1.y*t2.y); // Angle needs recalculation for some reason\\n vec2 t = normalize(t1+t2);\\n vec2 o = vec2( + t.y, - t.x);\\n\\n if ( u_dash_index > 0.0 )\\n {\\n // Broken angle\\n // ----------------------------------------------------------------\\n if( (abs(angle) > THETA) ) {\\n position += v * w * o / cos(angle/2.0);\\n float s = sign(angle);\\n if( angle < 0.0 ) {\\n if( u == +1.0 ) {\\n u = v_segment.y + v * w * tan(angle/2.0);\\n if( v == 1.0 ) {\\n position -= 2.0 * w * t1 / sin(angle);\\n u -= 2.0 * w / sin(angle);\\n }\\n } else {\\n u = v_segment.x - v * w * tan(angle/2.0);\\n if( v == 1.0 ) {\\n position += 2.0 * w * t2 / sin(angle);\\n u += 2.0*w / sin(angle);\\n }\\n }\\n } else {\\n if( u == +1.0 ) {\\n u = v_segment.y + v * w * tan(angle/2.0);\\n if( v == -1.0 ) {\\n position += 2.0 * w * t1 / sin(angle);\\n u += 2.0 * w / sin(angle);\\n }\\n } else {\\n u = v_segment.x - v * w * tan(angle/2.0);\\n if( v == -1.0 ) {\\n position -= 2.0 * w * t2 / sin(angle);\\n u -= 2.0*w / sin(angle);\\n }\\n }\\n }\\n // Continuous angle\\n // ------------------------------------------------------------\\n } else {\\n position += v * w * o / cos(angle/2.0);\\n if( u == +1.0 ) u = v_segment.y;\\n else u = v_segment.x;\\n }\\n }\\n\\n // Solid line\\n // --------------------------------------------------------------------\\n else\\n {\\n position.xy += v * w * o / cos(angle/2.0);\\n if( angle < 0.0 ) {\\n if( u == +1.0 ) {\\n u = v_segment.y + v * w * tan(angle/2.0);\\n } else {\\n u = v_segment.x - v * w * tan(angle/2.0);\\n }\\n } else {\\n if( u == +1.0 ) {\\n u = v_segment.y + v * w * tan(angle/2.0);\\n } else {\\n u = v_segment.x - v * w * tan(angle/2.0);\\n }\\n }\\n }\\n\\n // This is a line start or end (t1 == t2)\\n // ------------------------------------------------------------------------\\n } else {\\n position += v * w * o1;\\n if( u == -1.0 ) {\\n u = v_segment.x - w;\\n position -= w * t1;\\n } else {\\n u = v_segment.y + w;\\n position += w * t2;\\n }\\n }\\n\\n // Miter distance\\n // ------------------------------------------------------------------------\\n vec2 t;\\n vec2 curr = a_position * abs_scale;\\n if( a_texcoord.x < 0.0 ) {\\n vec2 next = curr + t2*(v_segment.y-v_segment.x);\\n\\n rotate( t1, +v_angles.x/2.0, t);\\n v_miter.x = signed_distance(curr, curr+t, position);\\n\\n rotate( t2, +v_angles.y/2.0, t);\\n v_miter.y = signed_distance(next, next+t, position);\\n } else {\\n vec2 prev = curr - t1*(v_segment.y-v_segment.x);\\n\\n rotate( t1, -v_angles.x/2.0,t);\\n v_miter.x = signed_distance(prev, prev+t, position);\\n\\n rotate( t2, -v_angles.y/2.0,t);\\n v_miter.y = signed_distance(curr, curr+t, position);\\n }\\n\\n if (!closed && v_segment.x <= 0.0) {\\n v_miter.x = 1e10;\\n }\\n if (!closed && v_segment.y >= v_length)\\n {\\n v_miter.y = 1e10;\\n }\\n\\n v_texcoord = vec2( u, v*w );\\n\\n // Calculate position in device coordinates. Note that we\\n // already scaled with abs scale above.\\n vec2 normpos = position * sign(u_scale_aspect);\\n normpos += 0.5; // make up for Bokeh's offset\\n normpos /= u_canvas_size / u_pixel_ratio; // in 0..1\\n gl_Position = vec4(normpos*2.0-1.0, 0.0, 1.0);\\n gl_Position.y *= -1.0;\\n}\\n\"},\n", " function _(n,t,e,s,a){s();e.default=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform sampler2D u_dash_atlas;\\n\\nuniform vec2 u_linecaps;\\nuniform float u_miter_limit;\\nuniform float u_linejoin;\\nuniform float u_antialias;\\nuniform float u_dash_phase;\\nuniform float u_dash_period;\\nuniform float u_dash_index;\\nuniform vec2 u_dash_caps;\\nuniform float u_closed;\\n\\nvarying vec4 v_color;\\nvarying vec2 v_segment;\\nvarying vec2 v_angles;\\nvarying vec2 v_texcoord;\\nvarying vec2 v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\n// Compute distance to cap ----------------------------------------------------\\nfloat cap( int type, float dx, float dy, float t, float linewidth )\\n{\\n float d = 0.0;\\n dx = abs(dx);\\n dy = abs(dy);\\n if (type == 0) discard; // None\\n else if (type == 1) d = sqrt(dx*dx+dy*dy); // Round\\n else if (type == 3) d = (dx+abs(dy)); // Triangle in\\n else if (type == 2) d = max(abs(dy),(t+dx-abs(dy))); // Triangle out\\n else if (type == 4) d = max(dx,dy); // Square\\n else if (type == 5) d = max(dx+t,dy); // Butt\\n return d;\\n}\\n\\n// Compute distance to join -------------------------------------------------\\nfloat join( in int type, in float d, in vec2 segment, in vec2 texcoord, in vec2 miter,\\n in float linewidth )\\n{\\n // texcoord.x is distance from start\\n // texcoord.y is distance from centerline\\n // segment.x and y indicate the limits (as for texcoord.x) for this segment\\n\\n float dx = texcoord.x;\\n\\n // Round join\\n if( type == 1 ) {\\n if (dx < segment.x) {\\n d = max(d,length( texcoord - vec2(segment.x,0.0)));\\n //d = length( texcoord - vec2(segment.x,0.0));\\n } else if (dx > segment.y) {\\n d = max(d,length( texcoord - vec2(segment.y,0.0)));\\n //d = length( texcoord - vec2(segment.y,0.0));\\n }\\n }\\n // Bevel join\\n else if ( type == 2 ) {\\n if (dx < segment.x) {\\n vec2 x = texcoord - vec2(segment.x,0.0);\\n d = max(d, max(abs(x.x), abs(x.y)));\\n\\n } else if (dx > segment.y) {\\n vec2 x = texcoord - vec2(segment.y,0.0);\\n d = max(d, max(abs(x.x), abs(x.y)));\\n }\\n /* Original code for bevel which does not work for us\\n if( (dx < segment.x) || (dx > segment.y) )\\n d = max(d, min(abs(x.x),abs(x.y)));\\n */\\n }\\n\\n return d;\\n}\\n\\nvoid main()\\n{\\n // If color is fully transparent we just discard the fragment\\n if( v_color.a <= 0.0 ) {\\n discard;\\n }\\n\\n // Test if dash pattern is the solid one (0)\\n bool solid = (u_dash_index == 0.0);\\n\\n // Test if path is closed\\n bool closed = (u_closed > 0.0);\\n\\n vec4 color = v_color;\\n float dx = v_texcoord.x;\\n float dy = v_texcoord.y;\\n float t = v_linewidth/2.0-u_antialias;\\n float width = 1.0; //v_linewidth; original code had dashes scale with line width, we do not\\n float d = 0.0;\\n\\n vec2 linecaps = u_linecaps;\\n vec2 dash_caps = u_dash_caps;\\n float line_start = 0.0;\\n float line_stop = v_length;\\n\\n // Apply miter limit; fragments too far into the miter are simply discarded\\n if( (dx < v_segment.x) || (dx > v_segment.y) ) {\\n float into_miter = max(v_segment.x - dx, dx - v_segment.y);\\n if (into_miter > u_miter_limit*v_linewidth/2.0)\\n discard;\\n }\\n\\n // Solid line --------------------------------------------------------------\\n if( solid ) {\\n d = abs(dy);\\n if( (!closed) && (dx < line_start) ) {\\n d = cap( int(u_linecaps.x), abs(dx), abs(dy), t, v_linewidth );\\n }\\n else if( (!closed) && (dx > line_stop) ) {\\n d = cap( int(u_linecaps.y), abs(dx)-line_stop, abs(dy), t, v_linewidth );\\n }\\n else {\\n d = join( int(u_linejoin), abs(dy), v_segment, v_texcoord, v_miter, v_linewidth );\\n }\\n\\n // Dash line --------------------------------------------------------------\\n } else {\\n float segment_start = v_segment.x;\\n float segment_stop = v_segment.y;\\n float segment_center= (segment_start+segment_stop)/2.0;\\n float freq = u_dash_period*width;\\n float u = mod( dx + u_dash_phase*width, freq);\\n vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0; // conversion to int-like\\n float dash_center= tex.x * width;\\n float dash_type = tex.y;\\n float _start = tex.z * width;\\n float _stop = tex.a * width;\\n float dash_start = dx - u + _start;\\n float dash_stop = dx - u + _stop;\\n\\n // Compute extents of the first dash (the one relative to v_segment.x)\\n // Note: this could be computed in the vertex shader\\n if( (dash_stop < segment_start) && (dash_caps.x != 5.0) ) {\\n float u = mod(segment_start + u_dash_phase*width, freq);\\n vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0; // conversion to int-like\\n dash_center= tex.x * width;\\n //dash_type = tex.y;\\n float _start = tex.z * width;\\n float _stop = tex.a * width;\\n dash_start = segment_start - u + _start;\\n dash_stop = segment_start - u + _stop;\\n }\\n\\n // Compute extents of the last dash (the one relatives to v_segment.y)\\n // Note: This could be computed in the vertex shader\\n else if( (dash_start > segment_stop) && (dash_caps.y != 5.0) ) {\\n float u = mod(segment_stop + u_dash_phase*width, freq);\\n vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0; // conversion to int-like\\n dash_center= tex.x * width;\\n //dash_type = tex.y;\\n float _start = tex.z * width;\\n float _stop = tex.a * width;\\n dash_start = segment_stop - u + _start;\\n dash_stop = segment_stop - u + _stop;\\n }\\n\\n // This test if the we are dealing with a discontinuous angle\\n bool discontinuous = ((dx < segment_center) && abs(v_angles.x) > THETA) ||\\n ((dx >= segment_center) && abs(v_angles.y) > THETA);\\n //if( dx < line_start) discontinuous = false;\\n //if( dx > line_stop) discontinuous = false;\\n\\n float d_join = join( int(u_linejoin), abs(dy),\\n v_segment, v_texcoord, v_miter, v_linewidth );\\n\\n // When path is closed, we do not have room for linecaps, so we make room\\n // by shortening the total length\\n if (closed) {\\n line_start += v_linewidth/2.0;\\n line_stop -= v_linewidth/2.0;\\n }\\n\\n // We also need to take antialias area into account\\n //line_start += u_antialias;\\n //line_stop -= u_antialias;\\n\\n // Check is dash stop is before line start\\n if( dash_stop <= line_start ) {\\n discard;\\n }\\n // Check is dash start is beyond line stop\\n if( dash_start >= line_stop ) {\\n discard;\\n }\\n\\n // Check if current dash start is beyond segment stop\\n if( discontinuous ) {\\n // Dash start is beyond segment, we discard\\n if( (dash_start > segment_stop) ) {\\n discard;\\n //gl_FragColor = vec4(1.0,0.0,0.0,.25); return;\\n }\\n\\n // Dash stop is before segment, we discard\\n if( (dash_stop < segment_start) ) {\\n discard; //gl_FragColor = vec4(0.0,1.0,0.0,.25); return;\\n }\\n\\n // Special case for round caps (nicer with this)\\n if( dash_caps.x == 1.0 ) {\\n if( (u > _stop) && (dash_stop > segment_stop ) && (abs(v_angles.y) < PI/2.0)) {\\n discard;\\n }\\n }\\n\\n // Special case for round caps (nicer with this)\\n if( dash_caps.y == 1.0 ) {\\n if( (u < _start) && (dash_start < segment_start ) && (abs(v_angles.x) < PI/2.0)) {\\n discard;\\n }\\n }\\n\\n // Special case for triangle caps (in & out) and square\\n // We make sure the cap stop at crossing frontier\\n if( (dash_caps.x != 1.0) && (dash_caps.x != 5.0) ) {\\n if( (dash_start < segment_start ) && (abs(v_angles.x) < PI/2.0) ) {\\n float a = v_angles.x/2.0;\\n float x = (segment_start-dx)*cos(a) - dy*sin(a);\\n float y = (segment_start-dx)*sin(a) + dy*cos(a);\\n if( x > 0.0 ) discard;\\n // We transform the cap into square to avoid holes\\n dash_caps.x = 4.0;\\n }\\n }\\n\\n // Special case for triangle caps (in & out) and square\\n // We make sure the cap stop at crossing frontier\\n if( (dash_caps.y != 1.0) && (dash_caps.y != 5.0) ) {\\n if( (dash_stop > segment_stop ) && (abs(v_angles.y) < PI/2.0) ) {\\n float a = v_angles.y/2.0;\\n float x = (dx-segment_stop)*cos(a) - dy*sin(a);\\n float y = (dx-segment_stop)*sin(a) + dy*cos(a);\\n if( x > 0.0 ) discard;\\n // We transform the caps into square to avoid holes\\n dash_caps.y = 4.0;\\n }\\n }\\n }\\n\\n // Line cap at start\\n if( (dx < line_start) && (dash_start < line_start) && (dash_stop > line_start) ) {\\n d = cap( int(linecaps.x), dx-line_start, dy, t, v_linewidth);\\n }\\n // Line cap at stop\\n else if( (dx > line_stop) && (dash_stop > line_stop) && (dash_start < line_stop) ) {\\n d = cap( int(linecaps.y), dx-line_stop, dy, t, v_linewidth);\\n }\\n // Dash cap left - dash_type = -1, 0 or 1, but there may be roundoff errors\\n else if( dash_type < -0.5 ) {\\n d = cap( int(dash_caps.y), abs(u-dash_center), dy, t, v_linewidth);\\n if( (dx > line_start) && (dx < line_stop) )\\n d = max(d,d_join);\\n }\\n // Dash cap right\\n else if( dash_type > 0.5 ) {\\n d = cap( int(dash_caps.x), abs(dash_center-u), dy, t, v_linewidth);\\n if( (dx > line_start) && (dx < line_stop) )\\n d = max(d,d_join);\\n }\\n // Dash body (plain)\\n else {// if( dash_type > -0.5 && dash_type < 0.5) {\\n d = abs(dy);\\n }\\n\\n // Line join\\n if( (dx > line_start) && (dx < line_stop)) {\\n if( (dx <= segment_start) && (dash_start <= segment_start)\\n && (dash_stop >= segment_start) ) {\\n d = d_join;\\n // Antialias at outer border\\n float angle = PI/2.+v_angles.x;\\n float f = abs( (segment_start - dx)*cos(angle) - dy*sin(angle));\\n d = max(f,d);\\n }\\n else if( (dx > segment_stop) && (dash_start <= segment_stop)\\n && (dash_stop >= segment_stop) ) {\\n d = d_join;\\n // Antialias at outer border\\n float angle = PI/2.+v_angles.y;\\n float f = abs((dx - segment_stop)*cos(angle) - dy*sin(angle));\\n d = max(f,d);\\n }\\n else if( dx < (segment_start - v_linewidth/2.)) {\\n discard;\\n }\\n else if( dx > (segment_stop + v_linewidth/2.)) {\\n discard;\\n }\\n }\\n else if( dx < (segment_start - v_linewidth/2.)) {\\n discard;\\n }\\n else if( dx > (segment_stop + v_linewidth/2.)) {\\n discard;\\n }\\n }\\n\\n // Distance to border ------------------------------------------------------\\n d = d - t;\\n if( d < 0.0 ) {\\n gl_FragColor = color;\\n } else {\\n d /= u_antialias;\\n gl_FragColor = vec4(color.rgb, exp(-d*d)*color.a);\\n }\\n}\\n\"},\n", " function _(i,t,s,e,l){e();const a=i(1),n=i(64),_=i(106),o=a.__importStar(i(107)),h=a.__importStar(i(48)),c=i(59);class r extends n.XYGlyphView{_inner_loop(i,t,s,e,l){for(const a of t){const t=s[a],n=e[a];0!=a?isNaN(t+n)?(i.closePath(),l.apply(i),i.beginPath()):i.lineTo(t,n):(i.beginPath(),i.moveTo(t,n))}i.closePath(),l.call(i)}_render(i,t,s){const{sx:e,sy:l}=null!=s?s:this;this.visuals.fill.doit&&(this.visuals.fill.set_value(i),this._inner_loop(i,t,e,l,i.fill)),this.visuals.hatch.doit&&(this.visuals.hatch.set_value(i),this._inner_loop(i,t,e,l,i.fill)),this.visuals.line.doit&&(this.visuals.line.set_value(i),this._inner_loop(i,t,e,l,i.stroke))}draw_legend_for_index(i,t,s){_.generic_area_scalar_legend(this.visuals,i,t)}_hit_point(i){const t=new c.Selection;return o.point_in_poly(i.sx,i.sy,this.sx,this.sy)&&(t.add_to_selected_glyphs(this.model),t.view=this),t}}s.PatchView=r,r.__name__=\"PatchView\";class p extends n.XYGlyph{constructor(i){super(i)}static init_Patch(){this.prototype.default_view=r,this.mixins([h.LineScalar,h.FillScalar,h.HatchScalar])}}s.Patch=p,p.__name__=\"Patch\",p.init_Patch()},\n", " function _(t,e,s,i,n){i();const a=t(1),r=t(24),h=t(118),_=a.__importStar(t(107)),l=a.__importStar(t(18)),o=t(59);class c extends h.AreaView{_index_data(t){const{min:e,max:s}=Math,{data_size:i}=this;for(let n=0;n=0;e--)t.lineTo(s[e],i[e]);t.closePath(),n.call(t)}_render(t,e,s){const{sx1:i,sx2:n,sy:a}=null!=s?s:this;this.visuals.fill.doit&&(this.visuals.fill.set_value(t),this._inner(t,i,n,a,t.fill)),this.visuals.hatch.doit&&(this.visuals.hatch.set_value(t),this._inner(t,i,n,a,t.fill))}_hit_point(t){const e=this.sy.length,s=new r.ScreenArray(2*e),i=new r.ScreenArray(2*e);for(let t=0,n=e;t({x1:[l.XCoordinateSpec,{field:\"x1\"}],x2:[l.XCoordinateSpec,{field:\"x2\"}],y:[l.YCoordinateSpec,{field:\"y\"}]})))}}s.HArea=d,d.__name__=\"HArea\",d.init_HArea()},\n", " function _(e,a,_,i,r){i();const s=e(1),n=e(98),t=e(106),c=s.__importStar(e(48));class l extends n.GlyphView{draw_legend_for_index(e,a,_){t.generic_area_scalar_legend(this.visuals,e,a)}}_.AreaView=l,l.__name__=\"AreaView\";class d extends n.Glyph{constructor(e){super(e)}static init_Area(){this.mixins([c.FillScalar,c.HatchScalar])}}_.Area=d,d.__name__=\"Area\",d.init_Area()},\n", " function _(t,e,s,i,n){i();const a=t(1),r=t(24),h=t(118),_=a.__importStar(t(107)),l=a.__importStar(t(18)),o=t(59);class c extends h.AreaView{_index_data(t){const{min:e,max:s}=Math,{data_size:i}=this;for(let n=0;n=0;s--)t.lineTo(e[s],i[s]);t.closePath(),n.call(t)}_render(t,e,s){const{sx:i,sy1:n,sy2:a}=null!=s?s:this;this.visuals.fill.doit&&(this.visuals.fill.set_value(t),this._inner(t,i,n,a,t.fill)),this.visuals.hatch.doit&&(this.visuals.hatch.set_value(t),this._inner(t,i,n,a,t.fill))}scenterxy(t){return[this.sx[t],(this.sy1[t]+this.sy2[t])/2]}_hit_point(t){const e=this.sx.length,s=new r.ScreenArray(2*e),i=new r.ScreenArray(2*e);for(let t=0,n=e;t({x:[l.XCoordinateSpec,{field:\"x\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],y2:[l.YCoordinateSpec,{field:\"y2\"}]})))}}s.VArea=d,d.__name__=\"VArea\",d.init_VArea()},\n", " function _(i,e,s,t,n){t();const c=i(53),o=i(59),r=i(24),a=i(121),u=i(57);class _ extends c.Model{constructor(i){super(i)}static init_CDSView(){this.define((({Array:i,Ref:e})=>({filters:[i(e(a.Filter)),[]],source:[e(u.ColumnarDataSource)]}))),this.internal((({Int:i,Dict:e,Ref:s,Nullable:t})=>({indices:[s(r.Indices)],indices_map:[e(i),{}],masked:[t(s(r.Indices)),null]})))}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,(()=>this.compute_indices()));const i=()=>{const i=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,i),this.source instanceof u.ColumnarDataSource&&(this.connect(this.source.streaming,i),this.connect(this.source.patching,i)))};let e=null!=this.source;e?i():this.connect(this.properties.source.change,(()=>{e||(i(),e=!0)}))}compute_indices(){var i;const{source:e}=this;if(null==e)return;const s=null!==(i=e.get_length())&&void 0!==i?i:1,t=r.Indices.all_set(s);for(const i of this.filters)t.intersect(i.compute_indices(e));this.indices=t,this._indices=[...t],this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let i=0;ithis._indices[i]));return new o.Selection(Object.assign(Object.assign({},i.attributes),{indices:e}))}convert_selection_to_subset(i){const e=i.indices.map((i=>this.indices_map[i]));return new o.Selection(Object.assign(Object.assign({},i.attributes),{indices:e}))}convert_indices_from_subset(i){return i.map((i=>this._indices[i]))}}s.CDSView=_,_.__name__=\"CDSView\",_.init_CDSView()},\n", " function _(e,t,n,s,c){s();const o=e(53);class r extends o.Model{constructor(e){super(e)}}n.Filter=r,r.__name__=\"Filter\"},\n", " function _(n,e,t,i,o){i();const s=n(9);async function c(n,e,t){const i=new n(Object.assign(Object.assign({},t),{model:e}));return i.initialize(),await i.lazy_initialize(),i}t.build_view=async function(n,e={parent:null},t=(n=>n.default_view)){const i=await c(t(n),n,e);return i.connect_signals(),i},t.build_views=async function(n,e,t={parent:null},i=(n=>n.default_view)){const o=s.difference([...n.keys()],e);for(const e of o)n.get(e).remove(),n.delete(e);const a=[],f=e.filter((e=>!n.has(e)));for(const e of f){const o=await c(i(e),e,t);n.set(e,o),a.push(o)}for(const n of a)n.connect_signals();return a},t.remove_views=function(n){for(const[e,t]of n)t.remove(),n.delete(e)}},\n", " function _(e,r,n,t,i){t();const s=e(62),o=e(61),l=e(124),d=e(125),a=e(126),p=e(122),_=e(64),h=e(127),c=e(128),u=e(11);class y extends s.DataRendererView{get glyph_view(){return this.node_view.glyph}async lazy_initialize(){await super.lazy_initialize();const e=this.model;let r=null,n=null;const t=new class extends l.Expression{_v_compute(n){u.assert(null==r);const[t]=r=e.layout_provider.get_edge_coordinates(n);return t}},i=new class extends l.Expression{_v_compute(e){u.assert(null!=r);const[,n]=r;return r=null,n}},s=new class extends l.Expression{_v_compute(r){u.assert(null==n);const[t]=n=e.layout_provider.get_node_coordinates(r);return t}},o=new class extends l.Expression{_v_compute(e){u.assert(null!=n);const[,r]=n;return n=null,r}},{edge_renderer:d,node_renderer:a}=this.model;if(!(d.glyph instanceof h.MultiLine||d.glyph instanceof c.Patches))throw new Error(`${this}.edge_renderer.glyph must be a MultiLine glyph`);if(!(a.glyph instanceof _.XYGlyph))throw new Error(`${this}.node_renderer.glyph must be a XYGlyph glyph`);d.glyph.properties.xs.internal=!0,d.glyph.properties.ys.internal=!0,a.glyph.properties.x.internal=!0,a.glyph.properties.y.internal=!0,d.glyph.xs={expr:t},d.glyph.ys={expr:i},a.glyph.x={expr:s},a.glyph.y={expr:o};const{parent:y}=this;this.edge_view=await p.build_view(d,{parent:y}),this.node_view=await p.build_view(a,{parent:y})}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,(()=>{this.edge_view.set_data(),this.node_view.set_data(),this.request_render()}))}remove(){this.edge_view.remove(),this.node_view.remove(),super.remove()}_render(){this.edge_view.render(),this.node_view.render()}renderer_view(e){if(e instanceof o.GlyphRenderer){if(e==this.edge_view.model)return this.edge_view;if(e==this.node_view.model)return this.node_view}return super.renderer_view(e)}}n.GraphRendererView=y,y.__name__=\"GraphRendererView\";class g extends s.DataRenderer{constructor(e){super(e)}static init_GraphRenderer(){this.prototype.default_view=y,this.define((({Ref:e})=>({layout_provider:[e(d.LayoutProvider)],node_renderer:[e(o.GlyphRenderer)],edge_renderer:[e(o.GlyphRenderer)],selection_policy:[e(a.GraphHitTestPolicy),()=>new a.NodesOnly],inspection_policy:[e(a.GraphHitTestPolicy),()=>new a.NodesOnly]})))}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}n.GraphRenderer=g,g.__name__=\"GraphRenderer\",g.init_GraphRenderer()},\n", " function _(e,t,s,n,i){n();const c=e(53);class l extends c.Model{constructor(e){super(e)}initialize(){super.initialize(),this._connected=new Set,this._result=new Map}v_compute(e){this._connected.has(e)||(this.connect(e.change,(()=>this._result.delete(e))),this.connect(e.patching,(()=>this._result.delete(e))),this.connect(e.streaming,(()=>this._result.delete(e))),this._connected.add(e));let t=this._result.get(e);return null==t&&(t=this._v_compute(e),this._result.set(e,t)),t}}s.Expression=l,l.__name__=\"Expression\";class h extends c.Model{constructor(e){super(e)}initialize(){super.initialize(),this._connected=new Set,this._result=new Map}compute(e){this._connected.has(e)||(this.connect(e.change,(()=>this._result.delete(e))),this.connect(e.patching,(()=>this._result.delete(e))),this.connect(e.streaming,(()=>this._result.delete(e))),this._connected.add(e));let t=this._result.get(e);return null==t&&(t=this._compute(e),this._result.set(e,t)),t}}s.ScalarExpression=h,h.__name__=\"ScalarExpression\"},\n", " function _(o,e,r,t,n){t();const s=o(53);class c extends s.Model{constructor(o){super(o)}}r.LayoutProvider=c,c.__name__=\"LayoutProvider\"},\n", " function _(e,t,d,n,s){n();const o=e(53),r=e(12),_=e(9),i=e(59);class c extends o.Model{constructor(e){super(e)}_hit_test(e,t,d){if(!t.model.visible)return null;const n=d.glyph.hit_test(e);return null==n?null:d.model.view.convert_selection_from_subset(n)}}d.GraphHitTestPolicy=c,c.__name__=\"GraphHitTestPolicy\";class a extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.edge_view)}do_selection(e,t,d,n){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;return s.update(e,d,n),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const{edge_renderer:o}=d.model,r=o.get_selection_manager().get_or_create_inspector(d.edge_view.model);return r.update(e,n,s),d.edge_view.model.data_source.setv({inspected:r},{silent:!0}),d.edge_view.model.data_source.inspect.emit([d.edge_view.model,{geometry:t}]),!r.is_empty()}}d.EdgesOnly=a,a.__name__=\"EdgesOnly\";class l extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.node_view)}do_selection(e,t,d,n){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,d,n),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const{node_renderer:o}=d.model,r=o.get_selection_manager().get_or_create_inspector(d.node_view.model);return r.update(e,n,s),d.node_view.model.data_source.setv({inspected:r},{silent:!0}),d.node_view.model.data_source.inspect.emit([d.node_view.model,{geometry:t}]),!r.is_empty()}}d.NodesOnly=l,l.__name__=\"NodesOnly\";class u extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.node_view)}get_linked_edges(e,t,d){let n=[];\"selection\"==d?n=e.selected.indices.map((t=>e.data.index[t])):\"inspection\"==d&&(n=e.inspected.indices.map((t=>e.data.index[t])));const s=[];for(let e=0;er.indexOf(e.data.index,t)));return new i.Selection({indices:o})}do_selection(e,t,d,n){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,d,n);const o=t.node_renderer.data_source.selected,r=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(r,d,n),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const o=d.edge_view.model.data_source.selection_manager.get_or_create_inspector(d.edge_view.model);o.update(e,n,s),d.edge_view.model.data_source.setv({inspected:o},{silent:!0});const r=d.node_view.model.data_source.selection_manager.get_or_create_inspector(d.node_view.model),_=this.get_linked_nodes(d.node_view.model.data_source,d.edge_view.model.data_source,\"inspection\");return r.update(_,n,s),d.node_view.model.data_source.setv({inspected:r},{silent:!0}),d.edge_view.model.data_source.inspect.emit([d.edge_view.model,{geometry:t}]),!o.is_empty()}}d.EdgesAndLinkedNodes=m,m.__name__=\"EdgesAndLinkedNodes\"},\n", " function _(t,e,i,n,s){n();const o=t(1),l=t(65),r=t(48),_=o.__importStar(t(107)),c=o.__importStar(t(18)),h=t(12),a=t(13),d=t(98),x=t(106),y=t(59);class g extends d.GlyphView{_project_data(){l.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(t){const{data_size:e}=this;for(let i=0;i0&&o.set(t,i)}return new y.Selection({indices:[...o.keys()],multiline_indices:a.to_object(o)})}get_interpolation_hit(t,e,i){const n=this._xs.get(t),s=this._ys.get(t),o=n[e],l=s[e],r=n[e+1],_=s[e+1];return x.line_interpolation(this.renderer,i,o,l,r,_)}draw_legend_for_index(t,e,i){x.generic_line_vector_legend(this.visuals,t,e,i)}scenterxy(){throw new Error(`${this}.scenterxy() is not implemented`)}}i.MultiLineView=g,g.__name__=\"MultiLineView\";class u extends d.Glyph{constructor(t){super(t)}static init_MultiLine(){this.prototype.default_view=g,this.define((({})=>({xs:[c.XCoordinateSeqSpec,{field:\"xs\"}],ys:[c.YCoordinateSeqSpec,{field:\"ys\"}]}))),this.mixins(r.LineVector)}}i.MultiLine=u,u.__name__=\"MultiLine\",u.init_MultiLine()},\n", " function _(e,t,s,i,n){i();const r=e(1),o=e(98),a=e(106),_=e(12),c=e(48),l=r.__importStar(e(107)),h=r.__importStar(e(18)),d=e(59),y=e(11),p=e(65);class x extends o.GlyphView{_project_data(){p.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let s=0;s({xs:[h.XCoordinateSeqSpec,{field:\"xs\"}],ys:[h.YCoordinateSeqSpec,{field:\"ys\"}]}))),this.mixins([c.LineVector,c.FillVector,c.HatchVector])}}s.Patches=f,f.__name__=\"Patches\",f.init_Patches()},\n", " function _(e,t,n,s,o){s();const r=e(53);class c extends r.Model{do_selection(e,t,n,s){return null!=e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=c,c.__name__=\"SelectionPolicy\";class l extends c{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!=t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=l,l.__name__=\"IntersectRenderers\";class _ extends c{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!=t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=_,_.__name__=\"UnionRenderers\"},\n", " function _(t,n,e,s,o){s();const r=t(1),i=t(57),l=t(8),c=t(13),a=r.__importStar(t(131)),u=t(132),h=t(35);function d(t,n,e){if(l.isArray(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if(l.isTypedArray(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let i;t.length({data:[t(n),{}]})))}stream(t,n,e){const{data:s}=this;for(const[e,o]of c.entries(t))s[e]=d(s[e],o,n);if(this.setv({data:s},{silent:!0}),this.streaming.emit(),null!=this.document){const s=new h.ColumnsStreamedEvent(this.document,this.ref(),t,n);this.document._notify_change(this,\"data\",null,null,{setter_id:e,hint:s})}}patch(t,n){const{data:e}=this;let s=new Set;for(const[n,o]of c.entries(t))s=u.union(s,m(e[n],o));if(this.setv({data:e},{silent:!0}),this.patching.emit([...s]),null!=this.document){const e=new h.ColumnsPatchedEvent(this.document,this.ref(),t);this.document._notify_change(this,\"data\",null,null,{setter_id:n,hint:e})}}}e.ColumnDataSource=_,_.__name__=\"ColumnDataSource\",_.init_ColumnDataSource()},\n", " function _(t,n,o,e,c){e(),o.concat=function(t,...n){let o=t.length;for(const t of n)o+=t.length;const e=new t.constructor(o);e.set(t,0);let c=t.length;for(const t of n)e.set(t,c),c+=t.length;return e}},\n", " function _(n,o,t,e,f){function c(...n){const o=new Set;for(const t of n)for(const n of t)o.add(n);return o}e(),t.union=c,t.intersection=function(n,...o){const t=new Set;n:for(const e of n){for(const n of o)if(!n.has(e))continue n;t.add(e)}return t},t.difference=function(n,...o){const t=new Set(n);for(const n of c(...o))t.delete(n);return t}},\n", " function _(e,i,t,s,o){s();const n=e(1),a=e(53),l=e(42),r=n.__importStar(e(45)),_=e(48),c=n.__importStar(e(18));class d extends l.View{initialize(){super.initialize(),this.visuals=new r.Visuals(this)}request_render(){this.parent.request_render()}get canvas(){return this.parent.canvas}set_data(e){const i=this;for(const t of this.model){if(!(t instanceof c.VectorSpec||t instanceof c.ScalarSpec))continue;const s=t.uniform(e);i[`${t.attr}`]=s}}}t.ArrowHeadView=d,d.__name__=\"ArrowHeadView\";class h extends a.Model{constructor(e){super(e)}static init_ArrowHead(){this.define((()=>({size:[c.NumberSpec,25]})))}}t.ArrowHead=h,h.__name__=\"ArrowHead\",h.init_ArrowHead();class v extends d{clip(e,i){this.visuals.line.set_vectorize(e,i);const t=this.size.get(i);e.moveTo(.5*t,t),e.lineTo(.5*t,-2),e.lineTo(-.5*t,-2),e.lineTo(-.5*t,t),e.lineTo(0,0),e.lineTo(.5*t,t)}render(e,i){if(this.visuals.line.doit){this.visuals.line.set_vectorize(e,i);const t=this.size.get(i);e.beginPath(),e.moveTo(.5*t,t),e.lineTo(0,0),e.lineTo(-.5*t,t),e.stroke()}}}t.OpenHeadView=v,v.__name__=\"OpenHeadView\";class u extends h{constructor(e){super(e)}static init_OpenHead(){this.prototype.default_view=v,this.mixins(_.LineVector)}}t.OpenHead=u,u.__name__=\"OpenHead\",u.init_OpenHead();class m extends d{clip(e,i){this.visuals.line.set_vectorize(e,i);const t=this.size.get(i);e.moveTo(.5*t,t),e.lineTo(.5*t,-2),e.lineTo(-.5*t,-2),e.lineTo(-.5*t,t),e.lineTo(.5*t,t)}render(e,i){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,i),this._normal(e,i),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,i),this._normal(e,i),e.stroke())}_normal(e,i){const t=this.size.get(i);e.beginPath(),e.moveTo(.5*t,t),e.lineTo(0,0),e.lineTo(-.5*t,t),e.closePath()}}t.NormalHeadView=m,m.__name__=\"NormalHeadView\";class T extends h{constructor(e){super(e)}static init_NormalHead(){this.prototype.default_view=m,this.mixins([_.LineVector,_.FillVector]),this.override({fill_color:\"black\"})}}t.NormalHead=T,T.__name__=\"NormalHead\",T.init_NormalHead();class p extends d{clip(e,i){this.visuals.line.set_vectorize(e,i);const t=this.size.get(i);e.moveTo(.5*t,t),e.lineTo(.5*t,-2),e.lineTo(-.5*t,-2),e.lineTo(-.5*t,t),e.lineTo(0,.5*t),e.lineTo(.5*t,t)}render(e,i){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,i),this._vee(e,i),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,i),this._vee(e,i),e.stroke())}_vee(e,i){const t=this.size.get(i);e.beginPath(),e.moveTo(.5*t,t),e.lineTo(0,0),e.lineTo(-.5*t,t),e.lineTo(0,.5*t),e.closePath()}}t.VeeHeadView=p,p.__name__=\"VeeHeadView\";class H extends h{constructor(e){super(e)}static init_VeeHead(){this.prototype.default_view=p,this.mixins([_.LineVector,_.FillVector]),this.override({fill_color:\"black\"})}}t.VeeHead=H,H.__name__=\"VeeHead\",H.init_VeeHead();class V extends d{render(e,i){if(this.visuals.line.doit){this.visuals.line.set_vectorize(e,i);const t=this.size.get(i);e.beginPath(),e.moveTo(.5*t,0),e.lineTo(-.5*t,0),e.stroke()}}clip(e,i){}}t.TeeHeadView=V,V.__name__=\"TeeHeadView\";class f extends h{constructor(e){super(e)}static init_TeeHead(){this.prototype.default_view=V,this.mixins(_.LineVector)}}t.TeeHead=f,f.__name__=\"TeeHead\",f.init_TeeHead()},\n", " function _(s,e,i,t,l){t();const _=s(1),o=s(135),r=_.__importStar(s(48));class h extends o.UpperLowerView{paint(s){s.beginPath(),s.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let e=0,i=this._lower_sx.length;e=0;e--)s.lineTo(this._upper_sx[e],this._upper_sy[e]);s.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_value(s),s.fill()),s.beginPath(),s.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let e=0,i=this._lower_sx.length;e({dimension:[n.Dimension,\"height\"],lower:[h,{field:\"lower\"}],upper:[h,{field:\"upper\"}],base:[h,{field:\"base\"}]})))}}i.UpperLower=d,d.__name__=\"UpperLower\",d.init_UpperLower()},\n", " function _(t,i,o,n,e){n();const s=t(1),l=t(40),a=s.__importStar(t(48)),r=t(20),h=t(99);o.EDGE_TOLERANCE=2.5;class c extends l.AnnotationView{constructor(){super(...arguments),this.bbox=new h.BBox}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{left:t,right:i,top:o,bottom:n}=this.model;if(null==t&&null==i&&null==o&&null==n)return;const{frame:e}=this.plot_view,s=this.coordinates.x_scale,l=this.coordinates.y_scale,a=(t,i,o,n,e)=>{let s;return s=null!=t?this.model.screen?t:\"data\"==i?o.compute(t):n.compute(t):e,s};this.bbox=h.BBox.from_rect({left:a(t,this.model.left_units,s,e.bbox.xview,e.bbox.left),right:a(i,this.model.right_units,s,e.bbox.xview,e.bbox.right),top:a(o,this.model.top_units,l,e.bbox.yview,e.bbox.top),bottom:a(n,this.model.bottom_units,l,e.bbox.yview,e.bbox.bottom)}),this._paint_box()}_paint_box(){const{ctx:t}=this.layer;t.save();const{left:i,top:o,width:n,height:e}=this.bbox;t.beginPath(),t.rect(i,o,n,e),this.visuals.fill.doit&&(this.visuals.fill.set_value(t),t.fill()),this.visuals.hatch.doit&&(this.visuals.hatch.set_value(t),t.fill()),this.visuals.line.doit&&(this.visuals.line.set_value(t),t.stroke()),t.restore()}interactive_bbox(){const t=this.model.line_width+o.EDGE_TOLERANCE;return this.bbox.grow_by(t)}interactive_hit(t,i){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,i)}cursor(t,i){const{left:o,right:n,bottom:e,top:s}=this.bbox;return Math.abs(t-o)<3||Math.abs(t-n)<3?this.model.ew_cursor:Math.abs(i-e)<3||Math.abs(i-s)<3?this.model.ns_cursor:this.bbox.contains(t,i)?this.model.in_cursor:null}}o.BoxAnnotationView=c,c.__name__=\"BoxAnnotationView\";class u extends l.Annotation{constructor(t){super(t)}static init_BoxAnnotation(){this.prototype.default_view=c,this.mixins([a.Line,a.Fill,a.Hatch]),this.define((({Number:t,Nullable:i})=>({top:[i(t),null],top_units:[r.SpatialUnits,\"data\"],bottom:[i(t),null],bottom_units:[r.SpatialUnits,\"data\"],left:[i(t),null],left_units:[r.SpatialUnits,\"data\"],right:[i(t),null],right_units:[r.SpatialUnits,\"data\"],render_mode:[r.RenderMode,\"canvas\"]}))),this.internal((({Boolean:t,String:i,Nullable:o})=>({screen:[t,!1],ew_cursor:[o(i),null],ns_cursor:[o(i),null],in_cursor:[o(i),null]}))),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}update({left:t,right:i,top:o,bottom:n}){this.setv({left:t,right:i,top:o,bottom:n,screen:!0})}}o.BoxAnnotation=u,u.__name__=\"BoxAnnotation\",u.init_BoxAnnotation()},\n", " function _(t,e,i,o,n){o();const a=t(1),r=t(40),s=t(138),l=t(144),_=t(162),c=t(165),h=t(198),u=t(166),p=t(205),m=t(169),g=t(203),d=t(202),f=t(209),w=t(217),b=t(220),v=t(20),x=a.__importStar(t(48)),y=t(9),k=t(221),C=t(222),z=t(225),j=t(140),B=t(11),L=t(122),S=t(99),M=t(8);class T extends r.AnnotationView{get orientation(){return this._orientation}initialize(){super.initialize();const{ticker:t,formatter:e,color_mapper:i}=this.model;this._ticker=\"auto\"!=t?t:(()=>{switch(!0){case i instanceof f.LogColorMapper:return new h.LogTicker;case i instanceof f.ScanningColorMapper:return new h.BinnedTicker({mapper:i});case i instanceof f.CategoricalColorMapper:return new h.CategoricalTicker;default:return new h.BasicTicker}})(),this._formatter=\"auto\"!=e?e:(()=>{switch(!0){case this._ticker instanceof h.LogTicker:return new p.LogTickFormatter;case i instanceof f.CategoricalColorMapper:return new p.CategoricalTickFormatter;default:return new p.BasicTickFormatter}})(),this._major_range=(()=>{if(i instanceof f.CategoricalColorMapper){const{factors:t}=i;return new b.FactorRange({factors:t})}if(i instanceof d.ContinuousColorMapper){const{min:t,max:e}=i.metrics;return new b.Range1d({start:t,end:e})}B.unreachable()})(),this._major_scale=(()=>{if(i instanceof f.LinearColorMapper)return new w.LinearScale;if(i instanceof f.LogColorMapper)return new w.LogScale;if(i instanceof f.ScanningColorMapper){const{binning:t}=i.metrics;return new w.LinearInterpolationScale({binning:t})}if(i instanceof f.CategoricalColorMapper)return new w.CategoricalScale;B.unreachable()})(),this._minor_range=new b.Range1d({start:0,end:1}),this._minor_scale=new w.LinearScale;const o=x.attrs_of(this.model,\"major_label_\",x.Text,!0),n=x.attrs_of(this.model,\"major_tick_\",x.Line,!0),a=x.attrs_of(this.model,\"minor_tick_\",x.Line,!0),r=x.attrs_of(this.model,\"title_\",x.Text),l=i instanceof f.CategoricalColorMapper?_.CategoricalAxis:i instanceof f.LogColorMapper?_.LogAxis:_.LinearAxis;this._axis=new l(Object.assign(Object.assign(Object.assign({ticker:this._ticker,formatter:this._formatter,major_tick_in:this.model.major_tick_in,major_tick_out:this.model.major_tick_out,minor_tick_in:this.model.minor_tick_in,minor_tick_out:this.model.minor_tick_out,major_label_standoff:this.model.label_standoff,major_label_overrides:this.model.major_label_overrides,major_label_policy:this.model.major_label_policy,axis_line_color:null},o),n),a));const{title:c}=this.model;c&&(this._title=new s.Title(Object.assign({text:c,standoff:this.model.title_standoff},r)))}async lazy_initialize(){await super.lazy_initialize();const t=this,e={get parent(){return t.parent},get root(){return t.root},get frame(){return t._frame},get canvas_view(){return t.parent.canvas_view},request_layout(){t.parent.request_layout()}};this._axis_view=await L.build_view(this._axis,{parent:e}),null!=this._title&&(this._title_view=await L.build_view(this._title,{parent:e}))}remove(){var t;null===(t=this._title_view)||void 0===t||t.remove(),this._axis_view.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this._ticker.change,(()=>this.request_render())),this.connect(this._formatter.change,(()=>this.request_render())),this.connect(this.model.color_mapper.metrics_change,(()=>{const t=this._major_range,e=this._major_scale,{color_mapper:i}=this.model;if(i instanceof d.ContinuousColorMapper&&t instanceof b.Range1d){const{min:e,max:o}=i.metrics;t.setv({start:e,end:o})}if(i instanceof f.ScanningColorMapper&&e instanceof w.LinearInterpolationScale){const{binning:t}=i.metrics;e.binning=t}this._set_canvas_image(),this.plot_view.request_layout()}))}_set_canvas_image(){const{orientation:t}=this,e=(()=>{const{palette:e}=this.model.color_mapper;return\"vertical\"==t?y.reversed(e):e})(),[i,o]=\"vertical\"==t?[1,e.length]:[e.length,1],n=this._image=document.createElement(\"canvas\");n.width=i,n.height=o;const a=n.getContext(\"2d\"),r=a.getImageData(0,0,i,o),s=new f.LinearColorMapper({palette:e}).rgba_mapper.v_compute(y.range(0,e.length));r.data.set(s),a.putImageData(r,0,0)}update_layout(){const{location:t,width:e,height:i,padding:o,margin:n}=this.model,[a,r]=(()=>{if(!M.isString(t))return[\"end\",\"start\"];switch(t){case\"top_left\":return[\"start\",\"start\"];case\"top\":case\"top_center\":return[\"start\",\"center\"];case\"top_right\":return[\"start\",\"end\"];case\"bottom_left\":return[\"end\",\"start\"];case\"bottom\":case\"bottom_center\":return[\"end\",\"center\"];case\"bottom_right\":return[\"end\",\"end\"];case\"left\":case\"center_left\":return[\"center\",\"start\"];case\"center\":case\"center_center\":return[\"center\",\"center\"];case\"right\":case\"center_right\":return[\"center\",\"end\"]}})(),s=this._orientation=(()=>{const{orientation:t}=this.model;return\"auto\"==t?null!=this.panel?this.panel.is_horizontal?\"horizontal\":\"vertical\":\"start\"==r||\"end\"==r||\"center\"==r&&\"center\"==a?\"vertical\":\"horizontal\":t})(),_=new C.NodeLayout,c=new C.VStack,h=new C.VStack,u=new C.HStack,p=new C.HStack;_.absolute=!0,c.absolute=!0,h.absolute=!0,u.absolute=!0,p.absolute=!0;const[m,g,d,f]=(()=>\"horizontal\"==s?[this._major_scale,this._minor_scale,this._major_range,this._minor_range]:[this._minor_scale,this._major_scale,this._minor_range,this._major_range])();this._frame=new l.CartesianFrame(m,g,d,f),_.on_resize((t=>this._frame.set_geometry(t)));const w=new z.BorderLayout;this._inner_layout=w,w.absolute=!0,w.center_panel=_,w.top_panel=c,w.bottom_panel=h,w.left_panel=u,w.right_panel=p;const b={left:o,right:o,top:o,bottom:o},v=(()=>{if(null==this.panel){if(M.isString(t))return{left:n,right:n,top:n,bottom:n};{const[e,i]=t;return{left:e,right:n,top:n,bottom:i}}}if(!M.isString(t)){const[e,i]=t;return w.fixup_geometry=(t,o)=>{const n=t,a=this.layout.bbox,{width:r,height:s}=t;if(t=new S.BBox({left:a.left+e,bottom:a.bottom-i,width:r,height:s}),null!=o){const e=t.left-n.left,i=t.top-n.top,{left:a,top:r,width:s,height:l}=o;o=new S.BBox({left:a+e,top:r+i,width:s,height:l})}return[t,o]},{left:e,right:0,top:0,bottom:i}}w.fixup_geometry=(t,e)=>{const i=t;if(\"horizontal\"==s){const{top:e,width:i,height:o}=t;if(\"end\"==r){const{right:n}=this.layout.bbox;t=new S.BBox({right:n,top:e,width:i,height:o})}else if(\"center\"==r){const{hcenter:n}=this.layout.bbox;t=new S.BBox({hcenter:Math.round(n),top:e,width:i,height:o})}}else{const{left:e,width:i,height:o}=t;if(\"end\"==a){const{bottom:n}=this.layout.bbox;t=new S.BBox({left:e,bottom:n,width:i,height:o})}else if(\"center\"==a){const{vcenter:n}=this.layout.bbox;t=new S.BBox({left:e,vcenter:Math.round(n),width:i,height:o})}}if(null!=e){const o=t.left-i.left,n=t.top-i.top,{left:a,top:r,width:s,height:l}=e;e=new S.BBox({left:a+o,top:r+n,width:s,height:l})}return[t,e]}})();let x,y,B,L;if(w.padding=b,null!=this.panel?(x=\"max\",y=void 0,B=void 0,L=void 0):\"auto\"==(\"horizontal\"==s?e:i)?(x=\"fixed\",y=25*this.model.color_mapper.palette.length,B={percent:.3},L={percent:.8}):(x=\"fit\",y=void 0),\"horizontal\"==s){const t=\"auto\"==e?void 0:e,o=\"auto\"==i?25:i;w.set_sizing({width_policy:x,height_policy:\"min\",width:y,min_width:B,max_width:L,halign:r,valign:a,margin:v}),w.center_panel.set_sizing({width_policy:\"auto\"==e?\"fit\":\"fixed\",height_policy:\"fixed\",width:t,height:o})}else{const t=\"auto\"==e?25:e,o=\"auto\"==i?void 0:i;w.set_sizing({width_policy:\"min\",height_policy:x,height:y,min_height:B,max_height:L,halign:r,valign:a,margin:v}),w.center_panel.set_sizing({width_policy:\"fixed\",height_policy:\"auto\"==i?\"fit\":\"fixed\",width:t,height:o})}c.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),h.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),u.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),p.set_sizing({width_policy:\"min\",height_policy:\"fit\"});const{_title_view:T}=this;null!=T&&(\"horizontal\"==s?(T.panel=new j.Panel(\"above\"),T.update_layout(),c.children.push(T.layout)):(T.panel=new j.Panel(\"left\"),T.update_layout(),u.children.push(T.layout)));const{panel:A}=this,O=null!=A&&s==A.orientation?A.side:\"horizontal\"==s?\"below\":\"right\",R=(()=>{switch(O){case\"above\":return c;case\"below\":return h;case\"left\":return u;case\"right\":return p}})(),{_axis_view:F}=this;if(F.panel=new j.Panel(O),F.update_layout(),R.children.push(F.layout),null!=this.panel){const t=new k.Grid([{layout:w,row:0,col:0}]);t.absolute=!0,\"horizontal\"==s?t.set_sizing({width_policy:\"max\",height_policy:\"min\"}):t.set_sizing({width_policy:\"min\",height_policy:\"max\"}),this.layout=t}else this.layout=this._inner_layout;const{visible:I}=this.model;this.layout.sizing.visible=I,this._set_canvas_image()}_render(){var t;const{ctx:e}=this.layer;e.save(),this._paint_bbox(e,this._inner_layout.bbox),this._paint_image(e,this._inner_layout.center_panel.bbox),null===(t=this._title_view)||void 0===t||t.render(),this._axis_view.render(),e.restore()}_paint_bbox(t,e){const{x:i,y:o}=e;let{width:n,height:a}=e;i+n>=this.parent.canvas_view.bbox.width&&(n-=1),o+a>=this.parent.canvas_view.bbox.height&&(a-=1),t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(i,o,n,a)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(i,o,n,a)),t.restore()}_paint_image(t,e){const{x:i,y:o,width:n,height:a}=e;t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this._image,i,o,n,a),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(i,o,n,a)),t.restore()}serializable_state(){const t=super.serializable_state(),{children:e=[]}=t,i=a.__rest(t,[\"children\"]);return null!=this._title_view&&e.push(this._title_view.serializable_state()),e.push(this._axis_view.serializable_state()),Object.assign(Object.assign({},i),{children:e})}}i.ColorBarView=T,T.__name__=\"ColorBarView\";class A extends r.Annotation{constructor(t){super(t)}static init_ColorBar(){this.prototype.default_view=T,this.mixins([[\"major_label_\",x.Text],[\"title_\",x.Text],[\"major_tick_\",x.Line],[\"minor_tick_\",x.Line],[\"border_\",x.Line],[\"bar_\",x.Line],[\"background_\",x.Fill]]),this.define((({Alpha:t,Number:e,String:i,Tuple:o,Dict:n,Or:a,Ref:r,Auto:s,Nullable:l})=>({location:[a(v.Anchor,o(e,e)),\"top_right\"],orientation:[a(v.Orientation,s),\"auto\"],title:[l(i),null],title_standoff:[e,2],width:[a(e,s),\"auto\"],height:[a(e,s),\"auto\"],scale_alpha:[t,1],ticker:[a(r(c.Ticker),s),\"auto\"],formatter:[a(r(u.TickFormatter),s),\"auto\"],major_label_overrides:[n(i),{}],major_label_policy:[r(m.LabelingPolicy),()=>new m.NoOverlap],color_mapper:[r(g.ColorMapper)],label_standoff:[e,5],margin:[e,30],padding:[e,10],major_tick_in:[e,5],major_tick_out:[e,0],minor_tick_in:[e,0],minor_tick_out:[e,0]}))),this.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}}i.ColorBar=A,A.__name__=\"ColorBar\",A.init_ColorBar()},\n", " function _(t,e,i,s,l){s();const o=t(1),a=t(139),n=t(20),r=t(143),c=o.__importStar(t(48));class h extends a.TextAnnotationView{_get_location(){const t=this.model.offset,e=this.model.standoff/2;let i,s;const{bbox:l}=this.layout;switch(this.panel.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":s=l.top+e;break;case\"middle\":s=l.vcenter;break;case\"bottom\":s=l.bottom-e}switch(this.model.align){case\"left\":i=l.left+t;break;case\"center\":i=l.hcenter;break;case\"right\":i=l.right-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=l.left+e;break;case\"middle\":i=l.hcenter;break;case\"bottom\":i=l.right-e}switch(this.model.align){case\"left\":s=l.bottom-t;break;case\"center\":s=l.vcenter;break;case\"right\":s=l.top+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=l.right-e;break;case\"middle\":i=l.hcenter;break;case\"bottom\":i=l.left+e}switch(this.model.align){case\"left\":s=l.top+t;break;case\"center\":s=l.vcenter;break;case\"right\":s=l.bottom-t}}return[i,s]}_render(){const{text:t}=this.model;if(null==t||0==t.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[e,i]=this._get_location(),s=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,t,e,i,s)}_get_size(){const{text:t}=this.model;if(null==t||0==t.length)return{width:0,height:0};{const{ctx:e}=this.layer;this.visuals.text.set_value(e);const{width:i}=this.layer.ctx.measureText(t),{height:s}=r.font_metrics(e.font);return{width:i,height:2+s*this.model.text_line_height+this.model.standoff}}}}i.TitleView=h,h.__name__=\"TitleView\";class _ extends a.TextAnnotation{constructor(t){super(t)}static init_Title(){this.prototype.default_view=h,this.mixins([c.Text,[\"border_\",c.Line],[\"background_\",c.Fill]]),this.define((({Number:t,String:e})=>({text:[e,\"\"],vertical_align:[n.VerticalAlign,\"bottom\"],align:[n.TextAlign,\"left\"],offset:[t,0],standoff:[t,10]}))),this.prototype._props.text_align.options.internal=!0,this.prototype._props.text_baseline.options.internal=!0,this.override({text_font_size:\"13px\",text_font_style:\"bold\",text_line_height:1,background_fill_color:null,border_line_color:null})}}i.Title=_,_.__name__=\"Title\",_.init_Title()},\n", " function _(e,t,s,i,n){i();const l=e(40),a=e(43),o=e(20),r=e(140),d=e(143),c=e(11);class _ extends l.AnnotationView{update_layout(){const{panel:e}=this;this.layout=null!=e?new r.SideLayout(e,(()=>this.get_size()),!0):void 0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&(this.el=a.div(),this.plot_view.canvas_view.add_overlay(this.el))}remove(){null!=this.el&&a.remove(this.el),super.remove()}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?this.connect(this.model.change,(()=>this.render())):this.connect(this.model.change,(()=>this.request_render()))}render(){this.model.visible||\"css\"!=this.model.render_mode||a.undisplay(this.el),super.render()}_calculate_text_dimensions(e,t){const{width:s}=e.measureText(t),{height:i}=d.font_metrics(this.visuals.text.font_value());return[s,i]}_calculate_bounding_box_dimensions(e,t){const[s,i]=this._calculate_text_dimensions(e,t);let n,l;switch(e.textAlign){case\"left\":n=0;break;case\"center\":n=-s/2;break;case\"right\":n=-s;break;default:c.unreachable()}switch(e.textBaseline){case\"top\":l=0;break;case\"middle\":l=-.5*i;break;case\"bottom\":l=-1*i;break;case\"alphabetic\":l=-.8*i;break;case\"hanging\":l=-.17*i;break;case\"ideographic\":l=-.83*i;break;default:c.unreachable()}return[n,l,s,i]}_canvas_text(e,t,s,i,n){this.visuals.text.set_value(e);const l=this._calculate_bounding_box_dimensions(e,t);e.save(),e.beginPath(),e.translate(s,i),n&&e.rotate(n),e.rect(l[0],l[1],l[2],l[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),e.stroke()),this.visuals.text.doit&&(this.visuals.text.set_value(e),e.fillText(t,0,0)),e.restore()}_css_text(e,t,s,i,n){const{el:l}=this;c.assert(null!=l),a.undisplay(l),this.visuals.text.set_value(e);const[o,r]=this._calculate_bounding_box_dimensions(e,t);l.style.position=\"absolute\",l.style.left=`${s+o}px`,l.style.top=`${i+r}px`,l.style.color=e.fillStyle,l.style.font=e.font,l.style.lineHeight=\"normal\",n&&(l.style.transform=`rotate(${n}rad)`),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),l.style.backgroundColor=e.fillStyle),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),l.style.borderStyle=e.lineDash.length<2?\"solid\":\"dashed\",l.style.borderWidth=`${e.lineWidth}px`,l.style.borderColor=e.strokeStyle),l.textContent=t,a.display(l)}}s.TextAnnotationView=_,_.__name__=\"TextAnnotationView\";class u extends l.Annotation{constructor(e){super(e)}static init_TextAnnotation(){this.define((()=>({render_mode:[o.RenderMode,\"canvas\"]})))}}s.TextAnnotation=u,u.__name__=\"TextAnnotation\",u.init_TextAnnotation()},\n", " function _(t,e,i,l,r){l();const a=t(141),o=t(142),n=t(8),h=Math.PI/2,s={above:{parallel:0,normal:-h,horizontal:0,vertical:-h},below:{parallel:0,normal:h,horizontal:0,vertical:h},left:{parallel:-h,normal:0,horizontal:0,vertical:-h},right:{parallel:h,normal:0,horizontal:0,vertical:h}},c={above:{parallel:\"bottom\",normal:\"center\",horizontal:\"bottom\",vertical:\"center\"},below:{parallel:\"top\",normal:\"center\",horizontal:\"top\",vertical:\"center\"},left:{parallel:\"bottom\",normal:\"center\",horizontal:\"center\",vertical:\"bottom\"},right:{parallel:\"bottom\",normal:\"center\",horizontal:\"center\",vertical:\"bottom\"}},g={above:{parallel:\"center\",normal:\"left\",horizontal:\"center\",vertical:\"left\"},below:{parallel:\"center\",normal:\"left\",horizontal:\"center\",vertical:\"left\"},left:{parallel:\"center\",normal:\"right\",horizontal:\"right\",vertical:\"center\"},right:{parallel:\"center\",normal:\"left\",horizontal:\"left\",vertical:\"center\"}},_={above:\"right\",below:\"left\",left:\"right\",right:\"left\"},b={above:\"left\",below:\"right\",left:\"right\",right:\"left\"};class z{constructor(t){this.side=t}get dimension(){return\"above\"==this.side||\"below\"==this.side?0:1}get normals(){switch(this.side){case\"above\":return[0,-1];case\"below\":return[0,1];case\"left\":return[-1,0];case\"right\":return[1,0]}}get orientation(){return this.is_horizontal?\"horizontal\":\"vertical\"}get is_horizontal(){return 0==this.dimension}get is_vertical(){return 1==this.dimension}get_label_text_heuristics(t){const{side:e}=this;return n.isString(t)?{vertical_align:c[e][t],align:g[e][t]}:{vertical_align:\"center\",align:(t<0?_:b)[e]}}get_label_angle_heuristic(t){return n.isString(t)?s[this.side][t]:-t}}i.Panel=z,z.__name__=\"Panel\";class m extends o.ContentLayoutable{constructor(t,e,i=!1){super(),this.panel=t,this.get_size=e,this.rotate=i,this.panel.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){const{width:t,height:e}=this.get_size();return!this.rotate||this.panel.is_horizontal?new a.Sizeable({width:t,height:e}):new a.Sizeable({width:e,height:t})}has_size_changed(){const{width:t,height:e}=this._content_size();return this.panel.is_horizontal?this.bbox.height!=e:this.bbox.width!=t}}i.SideLayout=m,m.__name__=\"SideLayout\"},\n", " function _(h,t,i,e,w){e();const n=h(21),{min:d,max:s}=Math;class g{constructor(h={}){this.width=null!=h.width?h.width:0,this.height=null!=h.height?h.height:0}bounded_to({width:h,height:t}){return new g({width:this.width==1/0&&null!=h?h:this.width,height:this.height==1/0&&null!=t?t:this.height})}expanded_to({width:h,height:t}){return new g({width:h!=1/0?s(this.width,h):this.width,height:t!=1/0?s(this.height,t):this.height})}expand_to({width:h,height:t}){this.width=s(this.width,h),this.height=s(this.height,t)}narrowed_to({width:h,height:t}){return new g({width:d(this.width,h),height:d(this.height,t)})}narrow_to({width:h,height:t}){this.width=d(this.width,h),this.height=d(this.height,t)}grow_by({left:h,right:t,top:i,bottom:e}){const w=this.width+h+t,n=this.height+i+e;return new g({width:w,height:n})}shrink_by({left:h,right:t,top:i,bottom:e}){const w=s(this.width-h-t,0),n=s(this.height-i-e,0);return new g({width:w,height:n})}map(h,t){return new g({width:h(this.width),height:(null!=t?t:h)(this.height)})}}i.Sizeable=g,g.__name__=\"Sizeable\",i.SizingPolicy=n.Enum(\"fixed\",\"fit\",\"min\",\"max\")},\n", " function _(i,t,h,e,n){e();const s=i(141),r=i(99),g=i(8),{min:l,max:a,round:_}=Math;class o{constructor(){this.absolute=!1,this._bbox=new r.BBox,this._inner_bbox=new r.BBox,this._dirty=!1,this._handlers=[]}*[Symbol.iterator](){}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set visible(i){this._sizing.visible=i,this._dirty=!0}set_sizing(i){var t,h,e,n,s;const r=null!==(t=i.width_policy)&&void 0!==t?t:\"fit\",g=i.width,l=i.min_width,a=i.max_width,_=null!==(h=i.height_policy)&&void 0!==h?h:\"fit\",o=i.height,d=i.min_height,u=i.max_height,c=i.aspect,w=null!==(e=i.margin)&&void 0!==e?e:{top:0,right:0,bottom:0,left:0},m=!1!==i.visible,x=null!==(n=i.halign)&&void 0!==n?n:\"start\",b=null!==(s=i.valign)&&void 0!==s?s:\"start\";this._sizing={width_policy:r,min_width:l,width:g,max_width:a,height_policy:_,min_height:d,height:o,max_height:u,aspect:c,margin:w,visible:m,halign:x,valign:b,size:{width:g,height:o}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){const{fixup_geometry:h}=this;null!=h&&([i,t]=h(i,t)),this._set_geometry(i,null!=t?t:i);for(const i of this._handlers)i(this._bbox,this._inner_bbox)}on_resize(i){this._handlers.push(i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:n,height_policy:s}=this.sizing,r=(i,t)=>{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=n&&\"fixed\"!=s)if(n==s){const n=t,s=_(t/e),r=_(h*e),g=h;Math.abs(i.width-n)+Math.abs(i.height-s)<=Math.abs(i.width-r)+Math.abs(i.height-g)?(t=n,h=s):(t=r,h=g)}else r(n,s)?h=_(t/e):t=_(h*e);else\"fixed\"==n?h=_(t/e):\"fixed\"==s&&(t=_(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,e=new s.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(e),r=this.clip_size(n,e),g=t(r.width),l=h(r.height),a=this.apply_aspect(e,{width:g,height:l});return Object.assign(Object.assign({},n),a)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new r.BBox({left:0,top:0,width:h,height:e});let s;if(null!=t.inner){const{left:i,top:n,right:g,bottom:l}=t.inner;s=new r.BBox({left:i,top:n,right:h-g,bottom:e-l})}this.set_geometry(n,s)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_size(i,t){function h(i,t,h,e){return null==h?h=0:g.isNumber(h)||(h=Math.round(h.percent*t)),null==e?e=1/0:g.isNumber(e)||(e=Math.round(e.percent*t)),a(h,l(i,e))}return{width:h(i.width,t.width,this.sizing.min_width,this.sizing.max_width),height:h(i.height,t.height,this.sizing.min_height,this.sizing.max_height)}}has_size_changed(){const{_dirty:i}=this;return this._dirty=!1,i}}h.Layoutable=o,o.__name__=\"Layoutable\";class d extends o{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;return{width:(()=>{const{width:h}=this.sizing;if(i.width==1/0)return null!=h?h:0;switch(t){case\"fixed\":return null!=h?h:0;case\"min\":return null!=h?l(i.width,h):0;case\"fit\":return null!=h?l(i.width,h):i.width;case\"max\":return null!=h?a(i.width,h):i.width}})(),height:(()=>{const{height:t}=this.sizing;if(i.height==1/0)return null!=t?t:0;switch(h){case\"fixed\":return null!=t?t:0;case\"min\":return null!=t?l(i.height,t):0;case\"fit\":return null!=t?l(i.height,t):i.height;case\"max\":return null!=t?a(i.height,t):i.height}})()}}}h.LayoutItem=d,d.__name__=\"LayoutItem\";class u extends o{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=u,u.__name__=\"ContentLayoutable\"},\n", " function _(t,e,n,r,l){r();const a=t(11),c=(()=>{try{return\"undefined\"!=typeof OffscreenCanvas&&null!=new OffscreenCanvas(0,0).getContext(\"2d\")}catch(t){return!1}})()?(t,e)=>new OffscreenCanvas(t,e):(t,e)=>{const n=document.createElement(\"canvas\");return n.width=t,n.height=e,n},o=(()=>{const t=c(0,0).getContext(\"2d\");return e=>{t.font=e;const n=t.measureText(\"M\"),r=t.measureText(\"x\"),l=t.measureText(\"ÅŚg|\"),c=l.fontBoundingBoxAscent,o=l.fontBoundingBoxDescent;if(null!=c&&null!=o)return{height:c+o,ascent:c,descent:o,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};const s=l.actualBoundingBoxAscent,u=l.actualBoundingBoxDescent;if(null!=s&&null!=u)return{height:s+u,ascent:s,descent:u,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};a.unreachable()}})(),s=(()=>{const t=c(0,0).getContext(\"2d\");return(e,n)=>{t.font=n;const r=t.measureText(e),l=r.actualBoundingBoxAscent,c=r.actualBoundingBoxDescent;if(null!=l&&null!=c)return{width:r.width,height:l+c,ascent:l,descent:c};a.unreachable()}})(),u=(()=>{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let n=-1,r=-1;return(l,a=1)=>{e.font=l;const{width:c}=e.measureText(\"M\"),o=c*a,s=Math.ceil(o),u=Math.ceil(2*o),i=Math.ceil(1.5*o);n{let e=0;for(let n=0;n<=i;n++)for(let r=0;r{let e=t.length-4;for(let n=u;n>=i;n--)for(let r=0;r{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let n=-1,r=-1;return(l,a,c=1)=>{e.font=a;const{width:o}=e.measureText(\"M\"),s=o*c,u=Math.ceil(s),i=Math.ceil(2*s),f=Math.ceil(1.5*s);(n{let e=0;for(let n=0;n<=f;n++)for(let r=0;r{let e=t.length-4;for(let n=i;n>=f;n--)for(let r=0;r{try{return o(\"normal 10px sans-serif\"),o}catch(t){return u}})(),h=(()=>{try{return s(\"A\",\"normal 10px sans-serif\"),s}catch(t){return i}})(),g=new Map;function d(t){let e=g.get(t);return null==e&&(e={font:f(t),glyphs:new Map},g.set(t,e)),e.font}n.font_metrics=d,n.glyph_metrics=function(t,e){let n=g.get(e);null==n&&(d(e),n=g.get(e));let r=n.glyphs.get(t);return null==r&&(r=h(t,e),n.glyphs.set(t,r)),r},n.parse_css_font_size=function(t){const e=t.match(/^\\s*(\\d+(\\.\\d+)?)(\\w+)\\s*$/);if(null!=e){const[,t,,n]=e,r=Number(t);if(isFinite(r))return{value:r,unit:n}}return null}},\n", " function _(e,t,s,_,a){_();const r=e(145),n=e(157),g=e(156),i=e(159),c=e(104),h=e(99),o=e(13),l=e(11);class x{constructor(e,t,s,_,a={},r={}){this.in_x_scale=e,this.in_y_scale=t,this.x_range=s,this.y_range=_,this.extra_x_ranges=a,this.extra_y_ranges=r,this._bbox=new h.BBox,l.assert(null==e.source_range&&null==e.target_range),l.assert(null==t.source_range&&null==t.target_range),this._configure_scales()}get bbox(){return this._bbox}_get_ranges(e,t){return new Map(o.entries(Object.assign(Object.assign({},t),{default:e})))}_get_scales(e,t,s){const _=new Map;for(const[a,g]of t){if(g instanceof c.FactorRange!=e instanceof r.CategoricalScale)throw new Error(`Range ${g.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&g instanceof i.DataRange1d&&(g.scale_hint=\"log\");const t=e.clone();t.setv({source_range:g,target_range:s}),_.set(a,t)}return _}_configure_frame_ranges(){const{bbox:e}=this;this._x_target=new g.Range1d({start:e.left,end:e.right}),this._y_target=new g.Range1d({start:e.bottom,end:e.top})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._x_scales=this._get_scales(this.in_x_scale,this._x_ranges,this._x_target),this._y_scales=this._get_scales(this.in_y_scale,this._y_ranges,this._y_target)}_update_scales(){this._configure_frame_ranges();for(const[,e]of this._x_scales)e.target_range=this._x_target;for(const[,e]of this._y_scales)e.target_range=this._y_target}set_geometry(e){this._bbox=e,this._update_scales()}get x_target(){return this._x_target}get y_target(){return this._y_target}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get x_scales(){return this._x_scales}get y_scales(){return this._y_scales}get x_scale(){return this._x_scales.get(\"default\")}get y_scale(){return this._y_scales.get(\"default\")}get xscales(){return o.to_object(this.x_scales)}get yscales(){return o.to_object(this.y_scales)}}s.CartesianFrame=x,x.__name__=\"CartesianFrame\"},\n", " function _(e,t,r,n,_){n();const c=e(146);class s extends c.Scale{constructor(e){super(e)}get s_compute(){const[e,t]=this._linear_compute_state(),r=this.source_range;return n=>e*r.synthetic(n)+t}compute(e){return super._linear_compute(this.source_range.synthetic(e))}v_compute(e){return super._linear_v_compute(this.source_range.v_synthetic(e))}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}r.CategoricalScale=s,s.__name__=\"CategoricalScale\"},\n", " function _(t,e,r,n,s){n();const i=t(147),_=t(105),a=t(156),c=t(24);class o extends i.Transform{constructor(t){super(t)}static init_Scale(){this.internal((({Ref:t})=>({source_range:[t(_.Range)],target_range:[t(a.Range1d)]})))}r_compute(t,e){return this.target_range.is_reversed?[this.compute(e),this.compute(t)]:[this.compute(t),this.compute(e)]}r_invert(t,e){return this.target_range.is_reversed?[this.invert(e),this.invert(t)]:[this.invert(t),this.invert(e)]}_linear_compute(t){const[e,r]=this._linear_compute_state();return e*t+r}_linear_v_compute(t){const[e,r]=this._linear_compute_state(),n=new c.ScreenArray(t.length);for(let s=0;s({args:[s(t),{}],func:[r,\"\"],v_func:[r,\"\"]})))}get names(){return o.keys(this.args)}get values(){return o.values(this.args)}_make_transform(t,r){return new Function(...this.names,t,u.use_strict(r))}get scalar_transform(){return this._make_transform(\"x\",this.func)}get vector_transform(){return this._make_transform(\"xs\",this.v_func)}compute(t){return this.scalar_transform(...this.values,t)}v_compute(t){return this.vector_transform(...this.values,t)}}s.CustomJSTransform=m,m.__name__=\"CustomJSTransform\",m.init_CustomJSTransform()},\n", " function _(n,s,o,r,c){r();const e=n(53);class t extends e.Model{constructor(n){super(n)}}o.Transform=t,t.__name__=\"Transform\"},\n", " function _(e,t,n,o,s){o();const i=e(151);class r extends i.RangeTransform{constructor(e){super(e)}static init_Dodge(){this.define((({Number:e})=>({value:[e,0]})))}_compute(e){return e+this.value}}n.Dodge=r,r.__name__=\"Dodge\",r.init_Dodge()},\n", " function _(e,n,t,r,s){r();const a=e(149),i=e(105),o=e(104),c=e(24),f=e(8);class u extends a.Transform{constructor(e){super(e)}static init_RangeTransform(){this.define((({Ref:e,Nullable:n})=>({range:[n(e(i.Range)),null]})))}v_compute(e){let n;if(this.range instanceof o.FactorRange)n=this.range.v_synthetic(e);else{if(!f.isArrayableOf(e,f.isNumber))throw new Error(\"unexpected\");n=e}const t=new(c.infer_type(n))(n.length);for(let e=0;e({x:[s(r,o(e))],y:[s(r,o(e))],data:[a(n(i.ColumnarDataSource)),null],clip:[t,!0]})))}connect_signals(){super.connect_signals(),this.connect(this.change,(()=>this._sorted_dirty=!0))}v_compute(t){const e=new(a.infer_type(t))(t.length);for(let r=0;rs*(e[t]-e[r]))),this._x_sorted=new(a.infer_type(e))(n),this._y_sorted=new(a.infer_type(r))(n);for(let t=0;t({mean:[t,0],width:[t,1],distribution:[o.Distribution,\"uniform\"]})))}v_compute(t){return null!=this.previous_values&&this.previous_values.length==t.length||(this.previous_values=super.v_compute(t)),this.previous_values}_compute(t){switch(this.distribution){case\"uniform\":return t+this.mean+(a.random()-.5)*this.width;case\"normal\":return t+a.rnorm(this.mean,this.width)}}}e.Jitter=h,h.__name__=\"Jitter\",h.init_Jitter()},\n", " function _(t,s,_,r,e){r();const i=t(9),o=t(152);class n extends o.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(tthis._x_sorted[this._x_sorted.length-1])return NaN}else{if(tthis._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=i.find_last_index(this._x_sorted,(s=>s({mode:[_.StepMode,\"after\"]})))}compute(t){if(this.sort(!1),this.clip){if(tthis._x_sorted[this._x_sorted.length-1])return NaN}else{if(tthis._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=n.find_last_index(this._x_sorted,(e=>t>=e));break;case\"before\":e=n.find_index(this._x_sorted,(e=>t<=e));break;case\"center\":{const s=n.map(this._x_sorted,(e=>Math.abs(e-t))),r=n.min(s);e=n.find_index(s,(t=>r===t));break}default:throw new Error(`unknown mode: ${this.mode}`)}return-1!=e?this._y_sorted[e]:NaN}}s.StepInterpolator=d,d.__name__=\"StepInterpolator\",d.init_StepInterpolator()},\n", " function _(t,e,s,n,i){n();const a=t(105);class r extends a.Range{constructor(t){super(t)}static init_Range1d(){this.define((({Number:t,Nullable:e})=>({start:[t,0],end:[t,1],reset_start:[e(t),null,{on_update(t,e){e._reset_start=null!=t?t:e.start}}],reset_end:[e(t),null,{on_update(t,e){e._reset_end=null!=t?t:e.end}}]})))}_set_auto_bounds(){if(\"auto\"==this.bounds){const t=Math.min(this._reset_start,this._reset_end),e=Math.max(this._reset_start,this._reset_end);this.setv({bounds:[t,e]},{silent:!0})}}initialize(){super.initialize(),this._set_auto_bounds()}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}reset(){this._set_auto_bounds();const{_reset_start:t,_reset_end:e}=this;this.start!=t||this.end!=e?this.setv({start:t,end:e}):this.change.emit()}map(t){return new r({start:t(this.start),end:t(this.end)})}widen(t){let{start:e,end:s}=this;return this.is_reversed?(e+=t,s-=t):(e-=t,s+=t),new r({start:e,end:s})}}s.Range1d=r,r.__name__=\"Range1d\",r.init_Range1d()},\n", " function _(t,e,o,n,s){n();const a=t(158),r=t(24);class c extends a.ContinuousScale{constructor(t){super(t)}get s_compute(){const[t,e,o,n]=this._compute_state();return s=>{if(0==o)return 0;{const a=(Math.log(s)-n)/o;return isFinite(a)?a*t+e:NaN}}}compute(t){const[e,o,n,s]=this._compute_state();let a;if(0==n)a=0;else{const r=(Math.log(t)-s)/n;a=isFinite(r)?r*e+o:NaN}return a}v_compute(t){const[e,o,n,s]=this._compute_state(),a=new r.ScreenArray(t.length);if(0==n)for(let e=0;e({start:[i],end:[i],range_padding:[i,.1],range_padding_units:[_.PaddingUnits,\"percent\"],flipped:[t,!1],follow:[n(_.StartEnd),null],follow_interval:[n(i),null],default_span:[i,2],only_visible:[t,!1]}))),this.internal((({Enum:t})=>({scale_hint:[t(\"log\",\"auto\"),\"auto\"]})))}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const{renderers:t,names:i}=this,n=o.concat(this.plots.map((t=>t.data_renderers)));return d.compute_renderers(0==t.length?\"auto\":t,n,i)}_compute_plot_bounds(t,i){let n=r.empty();for(const a of t){const t=i.get(a);null==t||!a.visible&&this.only_visible||(n=r.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=r.empty();let a=t.x1-t.x0;a<=0&&(a=1);let e=t.y1-t.y0;e<=0&&(e=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return al&&(\"start\"==this.follow?e=a+s*l:\"end\"==this.follow&&(a=e-s*l)),[a,e]}update(t,i,n,a){if(this.have_updated_interactively)return;const e=this.computed_renderers();let s=this._compute_plot_bounds(e,t);null!=a&&(s=this.adjust_bounds_for_aspect(s,a)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.values(),i);let[o,h]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(h=this._initial_end):h=this._initial_end);let r=!1;\"auto\"==this.bounds&&(this.setv({bounds:[o,h]},{silent:!0}),r=!0);const[d,u]=[this.start,this.end];if(o!=d||h!=u){const t={};o!=d&&(t.start=o),h!=u&&(t.end=h),this.setv(t),r=!1}r&&this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=u,u.__name__=\"DataRange1d\",u.init_DataRange1d()},\n", " function _(a,e,n,t,r){t();const s=a(105),i=a(62);class R extends s.Range{constructor(a){super(a)}static init_DataRange(){this.define((({String:a,Array:e,Ref:n})=>({names:[e(a),[]],renderers:[e(n(i.DataRenderer)),[]]})))}}n.DataRange=R,R.__name__=\"DataRange\",R.init_DataRange()},\n", " function _(n,e,t,r,u){r();const l=n(9);t.compute_renderers=function(n,e,t){if(null==n)return[];let r=\"auto\"==n?e:n;return t.length>0&&(r=r.filter((n=>l.includes(t,n.name)))),r}},\n", " function _(i,s,x,A,o){A(),o(\"Axis\",i(163).Axis),o(\"CategoricalAxis\",i(170).CategoricalAxis),o(\"ContinuousAxis\",i(173).ContinuousAxis),o(\"DatetimeAxis\",i(174).DatetimeAxis),o(\"LinearAxis\",i(175).LinearAxis),o(\"LogAxis\",i(192).LogAxis),o(\"MercatorAxis\",i(195).MercatorAxis)},\n", " function _(t,e,i,s,o){s();const n=t(1),a=t(164),l=t(165),r=t(166),_=t(169),h=n.__importStar(t(48)),c=t(20),b=t(24),m=t(140),d=t(9),u=t(8),x=t(167),g=t(104),{abs:f}=Math;class p extends a.GuideRendererView{update_layout(){this.layout=new m.SideLayout(this.panel,(()=>this.get_size()),!0),this.layout.on_resize((()=>this._coordinates=void 0))}get_size(){const{visible:t,fixed_location:e}=this.model;if(t&&null==e&&this.is_renderable){const{extents:t}=this;return{width:0,height:Math.round(t.tick+t.tick_label+t.axis_label)}}return{width:0,height:0}}get is_renderable(){const[t,e]=this.ranges;return t.is_valid&&e.is_valid}_render(){var t;if(!this.is_renderable)return;const{tick_coords:e,extents:i}=this,s=this.layer.ctx;s.save(),this._draw_rule(s,i),this._draw_major_ticks(s,i,e),this._draw_minor_ticks(s,i,e),this._draw_major_labels(s,i,e),this._draw_axis_label(s,i,e),null===(t=this._paint)||void 0===t||t.call(this,s,i,e),s.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.plot_view.request_layout()))}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(t,e){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[o,n]=this.coordinates.map_to_screen(i,s),[a,l]=this.normals,[r,_]=this.offsets;this.visuals.axis_line.set_value(t),t.beginPath();for(let e=0;e0?o+s+3:0}_draw_axis_label(t,e,i){const s=this.model.axis_label;if(!s||null!=this.model.fixed_location)return;const o=new x.TextBox({text:s});o.visuals=this.visuals.axis_label_text,o.angle=this.panel.get_label_angle_heuristic(\"parallel\"),o.base_font_size=this.plot_view.base_font_size;const[n,a]=(()=>{const{bbox:t}=this.layout;switch(this.panel.side){case\"above\":return[t.hcenter,t.bottom];case\"below\":return[t.hcenter,t.top];case\"left\":return[t.right,t.vcenter];case\"right\":return[t.left,t.vcenter]}})(),[l,r]=this.normals,_=e.tick+e.tick_label+this.model.axis_label_standoff,{vertical_align:h,align:c}=this.panel.get_label_text_heuristics(\"parallel\");o.position={sx:n+l*_,sy:a+r*_,x_anchor:c,y_anchor:h},o.align=c,o.paint(t)}_draw_ticks(t,e,i,s,o){if(!o.doit)return;const[n,a]=e,[l,r]=this.coordinates.map_to_screen(n,a),[_,h]=this.normals,[c,b]=this.offsets,[m,d]=[_*(c-i),h*(b-i)],[u,x]=[_*(c+s),h*(b+s)];o.set_value(t),t.beginPath();for(let e=0;et.bbox())),T=(()=>{const[t]=this.ranges;return t.is_reversed?0==this.dimension?(t,e)=>z[t].left-z[e].right:(t,e)=>z[e].top-z[t].bottom:0==this.dimension?(t,e)=>z[e].left-z[t].right:(t,e)=>z[t].top-z[e].bottom})(),{major_label_policy:O}=this.model,A=O.filter(v,z,T),M=[...A.ones()];if(0!=M.length){const t=this.parent.canvas_view.bbox,e=e=>{const i=z[e];if(i.left<0){const t=-i.left,{position:s}=y[e];y[e].position=Object.assign(Object.assign({},s),{sx:s.sx+t})}else if(i.right>t.width){const s=i.right-t.width,{position:o}=y[e];y[e].position=Object.assign(Object.assign({},o),{sx:o.sx-s})}},i=e=>{const i=z[e];if(i.top<0){const t=-i.top,{position:s}=y[e];y[e].position=Object.assign(Object.assign({},s),{sy:s.sy+t})}else if(i.bottom>t.height){const s=i.bottom-t.height,{position:o}=y[e];y[e].position=Object.assign(Object.assign({},o),{sy:o.sy-s})}},s=M[0],o=M[M.length-1];0==this.dimension?(e(s),e(o)):(i(s),i(o))}for(const e of A){y[e].paint(t)}}_tick_extent(){return this.model.major_tick_out}_tick_label_extents(){const t=this.tick_coords.major,e=this.compute_labels(t[this.dimension]),i=this.model.major_label_orientation,s=this.model.major_label_standoff,o=this.visuals.major_label_text;return[this._oriented_labels_extent(e,i,s,o)]}get extents(){const t=this._tick_label_extents();return{tick:this._tick_extent(),tick_labels:t,tick_label:d.sum(t),axis_label:this._axis_label_extent()}}_oriented_labels_extent(t,e,i,s){if(0==t.length)return 0;const o=this.panel.get_label_angle_heuristic(e);t.visuals=s,t.angle=o,t.base_font_size=this.plot_view.base_font_size;const n=t.max_size(),a=0==this.dimension?n.height:n.width;return a>0?i+a+3:0}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(t){const e=this.model.formatter.format_graphics(t,this),{major_label_overrides:i}=this.model;for(let s=0;sf(a-l)?(t=_(r(o,n),a),s=r(_(o,n),l)):(t=r(o,n),s=_(o,n)),[t,s]}}get rule_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,o]=this.computed_bounds,n=[new Array(2),new Array(2)];return n[t][0]=Math.max(s,i.min),n[t][1]=Math.min(o,i.max),n[t][0]>n[t][1]&&(n[t][0]=n[t][1]=NaN),n[e][0]=this.loc,n[e][1]=this.loc,n}get tick_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,o]=this.computed_bounds,n=this.model.ticker.get_ticks(s,o,i,this.loc),a=n.major,l=n.minor,r=[[],[]],_=[[],[]],[h,c]=[i.min,i.max];for(let i=0;ic||(r[t].push(a[i]),r[e].push(this.loc));for(let i=0;ic||(_[t].push(l[i]),_[e].push(this.loc));return{major:r,minor:_}}get loc(){const{fixed_location:t}=this.model;if(null!=t){if(u.isNumber(t))return t;const[,e]=this.ranges;if(e instanceof g.FactorRange)return e.synthetic(t);throw new Error(\"unexpected\")}const[,e]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return e.start;case\"right\":case\"above\":return e.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}}i.AxisView=p,p.__name__=\"AxisView\";class k extends a.GuideRenderer{constructor(t){super(t)}static init_Axis(){this.prototype.default_view=p,this.mixins([[\"axis_\",h.Line],[\"major_tick_\",h.Line],[\"minor_tick_\",h.Line],[\"major_label_\",h.Text],[\"axis_label_\",h.Text]]),this.define((({Any:t,Int:e,Number:i,String:s,Ref:o,Dict:n,Tuple:a,Or:h,Nullable:b,Auto:m})=>({bounds:[h(a(i,i),m),\"auto\"],ticker:[o(l.Ticker)],formatter:[o(r.TickFormatter)],axis_label:[b(s),\"\"],axis_label_standoff:[e,5],major_label_standoff:[e,5],major_label_orientation:[h(c.TickLabelOrientation,i),\"horizontal\"],major_label_overrides:[n(s),{}],major_label_policy:[o(_.LabelingPolicy),()=>new _.AllLabels],major_tick_in:[i,2],major_tick_out:[i,6],minor_tick_in:[i,0],minor_tick_out:[i,4],fixed_location:[b(h(i,t)),null]}))),this.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})}}i.Axis=k,k.__name__=\"Axis\",k.init_Axis()},\n", " function _(e,r,d,i,n){i();const s=e(41);class t extends s.RendererView{}d.GuideRendererView=t,t.__name__=\"GuideRendererView\";class _ extends s.Renderer{constructor(e){super(e)}static init_GuideRenderer(){this.override({level:\"guide\"})}}d.GuideRenderer=_,_.__name__=\"GuideRenderer\",_.init_GuideRenderer()},\n", " function _(c,e,n,s,o){s();const r=c(53);class t extends r.Model{constructor(c){super(c)}}n.Ticker=t,t.__name__=\"Ticker\"},\n", " function _(t,o,r,e,c){e();const n=t(53),a=t(167);class m extends n.Model{constructor(t){super(t)}format_graphics(t,o){return this.doFormat(t,o).map((t=>new a.TextBox({text:t})))}compute(t,o){return this.doFormat([t],null!=o?o:{loc:0})[0]}v_compute(t,o){return this.doFormat(t,null!=o?o:{loc:0})}}r.TickFormatter=m,m.__name__=\"TickFormatter\"},\n", " function _(t,e,s,i,n){i();const h=t(99),o=t(143),a=t(9),r=t(8),c=t(168),_=t(22);s.text_width=(()=>{const t=document.createElement(\"canvas\").getContext(\"2d\");let e=\"\";return(s,i)=>(i!=e&&(e=i,t.font=i),t.measureText(s).width)})();class l{constructor(){this._position={sx:0,sy:0},this.font_size_scale=1,this._base_font_size=13}set base_font_size(t){this._base_font_size=t}get base_font_size(){return this._base_font_size}set position(t){this._position=t}get position(){return this._position}infer_text_height(){return\"ascent_descent\"}bbox(){const{p0:t,p1:e,p2:s,p3:i}=this.rect(),n=Math.min(t.x,e.x,s.x,i.x),o=Math.min(t.y,e.y,s.y,i.y),a=Math.max(t.x,e.x,s.x,i.x),r=Math.max(t.y,e.y,s.y,i.y);return new h.BBox({left:n,right:a,top:o,bottom:r})}size(){const{width:t,height:e}=this._size(),{angle:s}=this;if(s){const i=Math.cos(Math.abs(s)),n=Math.sin(Math.abs(s));return{width:Math.abs(t*i+e*n),height:Math.abs(t*n+e*i)}}return{width:t,height:e}}rect(){const t=this._rect(),{angle:e}=this;if(e){const{sx:s,sy:i}=this.position,n=new c.AffineTransform;return n.translate(s,i),n.rotate(e),n.translate(-s,-i),n.apply_rect(t)}return t}paint_rect(t){const{p0:e,p1:s,p2:i,p3:n}=this.rect();t.save(),t.strokeStyle=\"red\",t.lineWidth=1,t.beginPath();const{round:h}=Math;t.moveTo(h(e.x),h(e.y)),t.lineTo(h(s.x),h(s.y)),t.lineTo(h(i.x),h(i.y)),t.lineTo(h(n.x),h(n.y)),t.closePath(),t.stroke(),t.restore()}paint_bbox(t){const{x:e,y:s,width:i,height:n}=this.bbox();t.save(),t.strokeStyle=\"blue\",t.lineWidth=1,t.beginPath();const{round:h}=Math;t.moveTo(h(e),h(s)),t.lineTo(h(e),h(s+n)),t.lineTo(h(e+i),h(s+n)),t.lineTo(h(e+i),h(s)),t.closePath(),t.stroke(),t.restore()}}s.GraphicsBox=l,l.__name__=\"GraphicsBox\";class x extends l{constructor({text:t}){super(),this.align=\"left\",this.text=t}set visuals(t){const e=t.text_color.get_value(),s=t.text_alpha.get_value(),i=t.text_font_style.get_value();let n=t.text_font_size.get_value();const h=t.text_font.get_value(),{font_size_scale:a,base_font_size:r}=this,c=o.parse_css_font_size(n);if(null!=c){let{value:t,unit:e}=c;t*=a,\"em\"==e&&r&&(t*=r,e=\"px\"),n=`${t}${e}`}const l=`${i} ${n} ${h}`;this.font=l,this.color=_.color2css(e,s),this.line_height=t.text_line_height.get_value()}infer_text_height(){if(this.text.includes(\"\\n\"))return\"ascent_descent\";return function(t){for(const e of new Set(t))if(!(\"0\"<=e&&e<=\"9\"))switch(e){case\",\":case\".\":case\"+\":case\"-\":case\"−\":case\"e\":continue;default:return!1}return!0}(this.text)?\"cap\":\"ascent_descent\"}_text_line(t){var e;const s=null!==(e=this.text_height_metric)&&void 0!==e?e:this.infer_text_height(),i=(()=>{switch(s){case\"x\":case\"x_descent\":return t.x_height;case\"cap\":case\"cap_descent\":return t.cap_height;case\"ascent\":case\"ascent_descent\":return t.ascent}})(),n=(()=>{switch(s){case\"x\":case\"cap\":case\"ascent\":return 0;case\"x_descent\":case\"cap_descent\":case\"ascent_descent\":return t.descent}})();return{height:i+n,ascent:i,descent:n}}get nlines(){return this.text.split(\"\\n\").length}_size(){var t,e;const{font:i}=this,n=o.font_metrics(i),h=(this.line_height-1)*n.height,r=\"\"==this.text,c=this.text.split(\"\\n\"),_=c.length,l=c.map((t=>s.text_width(t,i))),x=this._text_line(n).height*_,u=\"%\"==(null===(t=this.width)||void 0===t?void 0:t.unit)?this.width.value:1,p=\"%\"==(null===(e=this.height)||void 0===e?void 0:e.unit)?this.height.value:1;return{width:a.max(l)*u,height:r?0:(x+h*(_-1))*p,metrics:n}}_computed_position(t,e,s){const{width:i,height:n}=t,{sx:h,sy:o,x_anchor:a=\"left\",y_anchor:c=\"center\"}=this.position;return{x:h-(()=>{if(r.isNumber(a))return a*i;switch(a){case\"left\":return 0;case\"center\":return.5*i;case\"right\":return i}})(),y:o-(()=>{var t;if(r.isNumber(c))return c*n;switch(c){case\"top\":return 0;case\"center\":return.5*n;case\"bottom\":return n;case\"baseline\":if(1!=s)return.5*n;switch(null!==(t=this.text_height_metric)&&void 0!==t?t:this.infer_text_height()){case\"x\":case\"x_descent\":return e.x_height;case\"cap\":case\"cap_descent\":return e.cap_height;case\"ascent\":case\"ascent_descent\":return e.ascent}}})()}}_rect(){const{width:t,height:e,metrics:s}=this._size(),i=this.text.split(\"\\n\").length,{x:n,y:o}=this._computed_position({width:t,height:e},s,i);return new h.BBox({x:n,y:o,width:t,height:e}).rect}paint(t){var e,i;const{font:n}=this,h=o.font_metrics(n),r=(this.line_height-1)*h.height,c=this.text.split(\"\\n\"),_=c.length,l=c.map((t=>s.text_width(t,n))),x=this._text_line(h),u=x.height*_,p=\"%\"==(null===(e=this.width)||void 0===e?void 0:e.unit)?this.width.value:1,f=\"%\"==(null===(i=this.height)||void 0===i?void 0:i.unit)?this.height.value:1,g=a.max(l)*p,d=(u+r*(_-1))*f;t.save(),t.fillStyle=this.color,t.font=this.font,t.textAlign=\"left\",t.textBaseline=\"alphabetic\";const{sx:b,sy:m}=this.position,{align:y}=this,{angle:v}=this;v&&(t.translate(b,m),t.rotate(v),t.translate(-b,-m));let{x:w,y:z}=this._computed_position({width:g,height:d},h,_);if(\"justify\"==y)for(let e=0;e<_;e++){let i=w;const h=c[e].split(\" \"),o=h.length,_=h.map((t=>s.text_width(t,n))),l=(g-a.sum(_))/(o-1);for(let e=0;e{switch(y){case\"left\":return 0;case\"center\":return.5*(g-l[e]);case\"right\":return g-l[e]}})();t.fillStyle=this.color,t.fillText(c[e],s,z+x.ascent),z+=x.height+r}t.restore()}}s.TextBox=x,x.__name__=\"TextBox\";class u extends l{constructor(t,e){super(),this.base=t,this.expo=e}get children(){return[this.base,this.expo]}set base_font_size(t){super.base_font_size=t,this.base.base_font_size=t,this.expo.base_font_size=t}set position(t){this._position=t;const e=this.base.size(),s=this.expo.size(),i=this._shift_scale()*e.height,n=Math.max(e.height,i+s.height);this.base.position={sx:0,x_anchor:\"left\",sy:n,y_anchor:\"bottom\"},this.expo.position={sx:e.width,x_anchor:\"left\",sy:i,y_anchor:\"bottom\"}}get position(){return this._position}set visuals(t){this.expo.font_size_scale=.7,this.base.visuals=t,this.expo.visuals=t}_shift_scale(){if(this.base instanceof x&&1==this.base.nlines){const{x_height:t,cap_height:e}=o.font_metrics(this.base.font);return t/e}return 2/3}infer_text_height(){return this.base.infer_text_height()}_rect(){const t=this.base.bbox(),e=this.expo.bbox(),s=t.union(e),{x:i,y:n}=this._computed_position();return s.translate(i,n).rect}_size(){const t=this.base.size(),e=this.expo.size();return{width:t.width+e.width,height:Math.max(t.height,this._shift_scale()*t.height+e.height)}}paint(t){t.save();const{angle:e}=this;if(e){const{sx:s,sy:i}=this.position;t.translate(s,i),t.rotate(e),t.translate(-s,-i)}const{x:s,y:i}=this._computed_position();t.translate(s,i),this.base.paint(t),this.expo.paint(t),t.restore()}paint_bbox(t){super.paint_bbox(t);const{x:e,y:s}=this._computed_position();t.save(),t.translate(e,s);for(const e of this.children)e.paint_bbox(t);t.restore()}_computed_position(){const{width:t,height:e}=this._size(),{sx:s,sy:i,x_anchor:n=\"left\",y_anchor:h=\"center\"}=this.position;return{x:s-(()=>{if(r.isNumber(n))return n*t;switch(n){case\"left\":return 0;case\"center\":return.5*t;case\"right\":return t}})(),y:i-(()=>{if(r.isNumber(h))return h*e;switch(h){case\"top\":return 0;case\"center\":return.5*e;case\"bottom\":return e;case\"baseline\":return.5*e}})()}}}s.BaseExpo=u,u.__name__=\"BaseExpo\";class p{constructor(t){this.items=t}set base_font_size(t){for(const e of this.items)e.base_font_size=t}get length(){return this.items.length}set visuals(t){for(const e of this.items)e.visuals=t;const e={x:0,cap:1,ascent:2,x_descent:3,cap_descent:4,ascent_descent:5},s=a.max_by(this.items.map((t=>t.infer_text_height())),(t=>e[t]));for(const t of this.items)t.text_height_metric=s}set angle(t){for(const e of this.items)e.angle=t}max_size(){let t=0,e=0;for(const s of this.items){const i=s.size();t=Math.max(t,i.width),e=Math.max(e,i.height)}return{width:t,height:e}}}s.GraphicsBoxes=p,p.__name__=\"GraphicsBoxes\"},\n", " function _(t,s,r,n,i){n();const{sin:e,cos:a}=Math;class h{constructor(t=1,s=0,r=0,n=1,i=0,e=0){this.a=t,this.b=s,this.c=r,this.d=n,this.e=i,this.f=e}toString(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return`matrix(${t}, ${s}, ${r}, ${n}, ${i}, ${e})`}clone(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return new h(t,s,r,n,i,e)}get is_identity(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return 1==t&&0==s&&0==r&&1==n&&0==i&&0==e}apply_point(t){const[s,r]=this.apply(t.x,t.y);return{x:s,y:r}}apply_rect(t){return{p0:this.apply_point(t.p0),p1:this.apply_point(t.p1),p2:this.apply_point(t.p2),p3:this.apply_point(t.p3)}}apply(t,s){const{a:r,b:n,c:i,d:e,e:a,f:h}=this;return[r*t+i*s+a,n*t+e*s+h]}iv_apply(t,s){const{a:r,b:n,c:i,d:e,e:a,f:h}=this,p=t.length;for(let o=0;o({min_distance:[e,5]})))}filter(e,n,s){const{min_distance:t}=this;let i=null;for(const n of e)null!=i&&s(i,n)({args:[s(e),{}],code:[n,\"\"]})))}get names(){return c.keys(this.args)}get values(){return c.values(this.args)}get func(){const e=o.use_strict(this.code);return new a.GeneratorFunction(\"indices\",\"bboxes\",\"distance\",...this.names,e)}filter(e,n,s){const t=Object.create(null),i=this.func.call(t,e,n,s,...this.values);let l=i.next();if(l.done&&void 0!==l.value){const{value:n}=l;return n instanceof a.Indices?n:void 0===n?e:r.isIterable(n)?a.Indices.from_indices(e.size,n):a.Indices.all_unset(e.size)}{const n=[];do{n.push(l.value),l=i.next()}while(!l.done);return a.Indices.from_indices(e.size,n)}}}s.CustomLabelingPolicy=m,m.__name__=\"CustomLabelingPolicy\",m.init_CustomLabelingPolicy()},\n", " function _(t,s,e,o,i){o();const a=t(1),r=t(163),l=t(171),_=t(172),n=a.__importStar(t(48)),c=t(20),p=t(167),h=t(8);class m extends r.AxisView{_paint(t,s,e){this._draw_group_separators(t,s,e)}_draw_group_separators(t,s,e){const[o]=this.ranges,[i,a]=this.computed_bounds;if(!o.tops||o.tops.length<2||!this.visuals.separator_line.doit)return;const r=this.dimension,l=(r+1)%2,_=[[],[]];let n=0;for(let t=0;ti&&cnew p.GraphicsBoxes(t.map((t=>h.isString(t)?new p.TextBox({text:t}):t))),_=t=>l(this.model.formatter.doFormat(t,this));if(1==t.levels){const t=_(i.major);r.push([t,a.major,this.model.major_label_orientation,this.visuals.major_label_text])}else if(2==t.levels){const t=_(i.major.map((t=>t[1])));r.push([t,a.major,this.model.major_label_orientation,this.visuals.major_label_text]),r.push([l(i.tops),a.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=_(i.major.map((t=>t[2]))),s=i.mids.map((t=>t[1]));r.push([t,a.major,this.model.major_label_orientation,this.visuals.major_label_text]),r.push([l(s),a.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),r.push([l(i.tops),a.tops,this.model.group_label_orientation,this.visuals.group_text])}return r}get tick_coords(){const t=this.dimension,s=(t+1)%2,[e]=this.ranges,[o,i]=this.computed_bounds,a=this.model.ticker.get_ticks(o,i,e,this.loc),r={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return r.major[t]=a.major,r.major[s]=a.major.map((()=>this.loc)),3==e.levels&&(r.mids[t]=a.mids,r.mids[s]=a.mids.map((()=>this.loc))),e.levels>1&&(r.tops[t]=a.tops,r.tops[s]=a.tops.map((()=>this.loc))),r}}e.CategoricalAxisView=m,m.__name__=\"CategoricalAxisView\";class u extends r.Axis{constructor(t){super(t)}static init_CategoricalAxis(){this.prototype.default_view=m,this.mixins([[\"separator_\",n.Line],[\"group_\",n.Text],[\"subgroup_\",n.Text]]),this.define((({Number:t,Or:s})=>({group_label_orientation:[s(c.TickLabelOrientation,t),\"parallel\"],subgroup_label_orientation:[s(c.TickLabelOrientation,t),\"parallel\"]}))),this.override({ticker:()=>new l.CategoricalTicker,formatter:()=>new _.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})}}e.CategoricalAxis=u,u.__name__=\"CategoricalAxis\",u.init_CategoricalAxis()},\n", " function _(t,c,o,s,e){s();const r=t(165);class i extends r.Ticker{constructor(t){super(t)}get_ticks(t,c,o,s){var e,r;return{major:this._collect(o.factors,o,t,c),minor:[],tops:this._collect(null!==(e=o.tops)&&void 0!==e?e:[],o,t,c),mids:this._collect(null!==(r=o.mids)&&void 0!==r?r:[],o,t,c)}}_collect(t,c,o,s){const e=[];for(const r of t){const t=c.synthetic(r);t>o&&tnew m.DatetimeTicker,formatter:()=>new r.DatetimeTickFormatter})}}i.DatetimeAxis=c,c.__name__=\"DatetimeAxis\",c.init_DatetimeAxis()},\n", " function _(i,e,s,n,t){n();const r=i(173),a=i(176),o=i(177);class c extends r.ContinuousAxisView{}s.LinearAxisView=c,c.__name__=\"LinearAxisView\";class _ extends r.ContinuousAxis{constructor(i){super(i)}static init_LinearAxis(){this.prototype.default_view=c,this.override({ticker:()=>new o.BasicTicker,formatter:()=>new a.BasicTickFormatter})}}s.LinearAxis=_,_.__name__=\"LinearAxis\",_.init_LinearAxis()},\n", " function _(i,t,e,n,o){n();const s=i(166),r=i(34);function c(i){let t=\"\";for(const e of i)t+=\"-\"==e?\"−\":e;return t}e.unicode_replace=c;class _ extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}static init_BasicTickFormatter(){this.define((({Boolean:i,Int:t,Auto:e,Or:n})=>({precision:[n(t,e),\"auto\"],use_scientific:[i,!0],power_limit_high:[t,5],power_limit_low:[t,-3]})))}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,n=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const o of i){const i=Math.abs(o);if(!(i<=n)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){return t?i.map((i=>c(i.toExponential(e)))):i.map((i=>c(r.to_fixed(i,e))))}_auto_precision(i,t){const e=new Array(i.length),n=this.last_precision<=15;i:for(let o=this.last_precision;n?o<=15:o>=1;n?o++:o--){if(t){e[0]=i[0].toExponential(o);for(let t=1;t({base:[t,10],mantissas:[i(t),[1,2,5]],min_interval:[t,0],max_interval:[a(t),null]})))}get_min_interval(){return this.min_interval}get_max_interval(){var t;return null!==(t=this.max_interval)&&void 0!==t?t:1/0}initialize(){super.initialize();const t=r.nth(this.mantissas,-1)/this.base,i=r.nth(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,a){const e=i-t,s=this.get_ideal_interval(t,i,a),n=Math.floor(_.log(s/this.base_factor,this.base)),l=this.base**n*this.base_factor,h=this.extended_mantissas,m=h.map((t=>Math.abs(a-e/(t*l)))),v=h[r.argmin(m)]*l;return _.clamp(v,this.get_min_interval(),this.get_max_interval())}}a.AdaptiveTicker=l,l.__name__=\"AdaptiveTicker\",l.init_AdaptiveTicker()},\n", " function _(t,i,n,s,e){s();const o=t(165),r=t(9);class c extends o.Ticker{constructor(t){super(t)}static init_ContinuousTicker(){this.define((({Int:t})=>({num_minor_ticks:[t,5],desired_num_ticks:[t,6]})))}get_ticks(t,i,n,s){return this.get_ticks_no_defaults(t,i,s,this.desired_num_ticks)}get_ticks_no_defaults(t,i,n,s){const e=this.get_interval(t,i,s),o=Math.floor(t/e),c=Math.ceil(i/e);let _;_=isFinite(o)&&isFinite(c)?r.range(o,c+1):[];const u=_.map((t=>t*e)).filter((n=>t<=n&&n<=i)),a=this.num_minor_ticks,f=[];if(a>0&&u.length>0){const n=e/a,s=r.range(0,a).map((t=>t*n));for(const n of s.slice(1)){const s=u[0]-n;t<=s&&s<=i&&f.push(s)}for(const n of u)for(const e of s){const s=n+e;t<=s&&s<=i&&f.push(s)}}return{major:u,minor:f}}get_ideal_interval(t,i,n){return(i-t)/n}}n.ContinuousTicker=c,c.__name__=\"ContinuousTicker\",c.init_ContinuousTicker()},\n", " function _(t,s,e,i,n){i();const r=t(1).__importDefault(t(181)),o=t(166),a=t(19),c=t(182),m=t(9),u=t(8);function h(t){return r.default(t,\"%Y %m %d %H %M %S\").split(/\\s+/).map((t=>parseInt(t,10)))}function d(t,s){if(u.isFunction(s))return s(t);{const e=c.sprintf(\"$1%06d\",function(t){return Math.round(t/1e3%1*1e6)}(t));return-1==(s=s.replace(/((^|[^%])(%%)*)%f/,e)).indexOf(\"%\")?s:r.default(t,s)}}const l=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class f extends o.TickFormatter{constructor(t){super(t),this.strip_leading_zeros=!0}static init_DatetimeTickFormatter(){this.define((({String:t,Array:s})=>({microseconds:[s(t),[\"%fus\"]],milliseconds:[s(t),[\"%3Nms\",\"%S.%3Ns\"]],seconds:[s(t),[\"%Ss\"]],minsec:[s(t),[\":%M:%S\"]],minutes:[s(t),[\":%M\",\"%Mm\"]],hourmin:[s(t),[\"%H:%M\"]],hours:[s(t),[\"%Hh\",\"%H:%M\"]],days:[s(t),[\"%m/%d\",\"%a%d\"]],months:[s(t),[\"%m/%Y\",\"%b %Y\"]],years:[s(t),[\"%Y\"]]})))}initialize(){super.initialize(),this._update_width_formats()}_update_width_formats(){const t=+r.default(new Date),s=function(s){const e=s.map((s=>d(t,s).length)),i=m.sort_by(m.zip(e,s),(([t])=>t));return m.unzip(i)};this._width_formats={microseconds:s(this.microseconds),milliseconds:s(this.milliseconds),seconds:s(this.seconds),minsec:s(this.minsec),minutes:s(this.minutes),hourmin:s(this.hourmin),hours:s(this.hours),days:s(this.days),months:s(this.months),years:s(this.years)}}_get_resolution_str(t,s){const e=1.1*t;switch(!1){case!(e<.001):return\"microseconds\";case!(e<1):return\"milliseconds\";case!(e<60):return s>=60?\"minsec\":\"seconds\";case!(e<3600):return s>=3600?\"hourmin\":\"minutes\";case!(e<86400):return\"hours\";case!(e<2678400):return\"days\";case!(e<31536e3):return\"months\";default:return\"years\"}}doFormat(t,s){if(0==t.length)return[];const e=Math.abs(t[t.length-1]-t[0])/1e3,i=e/(t.length-1),n=this._get_resolution_str(i,e),[,[r]]=this._width_formats[n],o=[],c=l.indexOf(n),m={};for(const t of l)m[t]=0;m.seconds=5,m.minsec=4,m.minutes=4,m.hourmin=3,m.hours=3;for(const s of t){let t,e;try{e=h(s),t=d(s,r)}catch(t){a.logger.warn(`unable to format tick for timestamp value ${s}`),a.logger.warn(` - ${t}`),o.push(\"ERR\");continue}let i=!1,u=c;for(;0==e[m[l[u]]];){let r;if(u+=1,u==l.length)break;if((\"minsec\"==n||\"hourmin\"==n)&&!i){if(\"minsec\"==n&&0==e[4]&&0!=e[5]||\"hourmin\"==n&&0==e[3]&&0!=e[4]){r=this._width_formats[l[c-1]][1][0],t=d(s,r);break}i=!0}r=this._width_formats[l[u]][1][0],t=d(s,r)}if(this.strip_leading_zeros){let s=t.replace(/^0+/g,\"\");s!=t&&isNaN(parseInt(s))&&(s=`0${s}`),o.push(s)}else o.push(t)}return o}}e.DatetimeTickFormatter=f,f.__name__=\"DatetimeTickFormatter\",f.init_DatetimeTickFormatter()},\n", " function _(e,t,n,r,o){!function(e){\"object\"==typeof t&&t.exports?t.exports=e():\"function\"==typeof define?define(e):this.tz=e()}((function(){function e(e,t,n){var r,o=t.day[1];do{r=new Date(Date.UTC(n,t.month,Math.abs(o++)))}while(t.day[0]<7&&r.getUTCDay()!=t.day[0]);return(r={clock:t.clock,sort:r.getTime(),rule:t,save:6e4*t.save,offset:e.offset})[r.clock]=r.sort+6e4*t.time,r.posix?r.wallclock=r[r.clock]+(e.offset+t.saved):r.posix=r[r.clock]-(e.offset+t.saved),r}function t(t,n,r){var o,a,u,i,l,s,c,f=t[t.zone],h=[],T=new Date(r).getUTCFullYear(),g=1;for(o=1,a=f.length;o=T-g;--c)for(o=0,a=s.length;o=h[o][n]&&h[o][h[o].clock]>u[h[o].clock]&&(i=h[o])}return i&&((l=/^(.*)\\/(.*)$/.exec(u.format))?i.abbrev=l[i.save?2:1]:i.abbrev=u.format.replace(/%s/,i.rule.letter)),i||u}function n(e,n){return\"UTC\"==e.zone?n:(e.entry=t(e,\"posix\",n),n+e.entry.offset+e.entry.save)}function r(e,n){return\"UTC\"==e.zone?n:(e.entry=r=t(e,\"wallclock\",n),0<(o=n-r.wallclock)&&o9)t+=s*l[c-10];else{if(a=new Date(n(e,t)),c<7)for(;s;)a.setUTCDate(a.getUTCDate()+i),a.getUTCDay()==c&&(s-=i);else 7==c?a.setUTCFullYear(a.getUTCFullYear()+s):8==c?a.setUTCMonth(a.getUTCMonth()+s):a.setUTCDate(a.getUTCDate()+s);null==(t=r(e,a.getTime()))&&(t=r(e,a.getTime()+864e5*i)-864e5*i)}return t}var a={clock:function(){return+new Date},zone:\"UTC\",entry:{abbrev:\"UTC\",offset:0,save:0},UTC:1,z:function(e,t,n,r){var 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supported\");i.push({placeholder:t[0],param_no:t[1],keys:t[2],sign:t[3],pad_char:t[4],align:t[5],width:t[6],precision:t[7],type:t[8]})}r=r.substring(t[0].length)}return s[n]=i}void 0!==t&&(t.sprintf=n,t.vsprintf=r),\"undefined\"!=typeof window&&(window.sprintf=n,window.vsprintf=r,\"function\"==typeof define&&define.amd&&define((function(){return{sprintf:n,vsprintf:r}})))}()},\n", " function _(e,i,n,t,a){t();const s=e(9),r=e(178),c=e(186),m=e(187),_=e(190),k=e(191),o=e(189);class T extends c.CompositeTicker{constructor(e){super(e)}static init_DatetimeTicker(){this.override({num_minor_ticks:0,tickers:()=>[new r.AdaptiveTicker({mantissas:[1,2,5],base:10,min_interval:0,max_interval:500*o.ONE_MILLI,num_minor_ticks:0}),new r.AdaptiveTicker({mantissas:[1,2,5,10,15,20,30],base:60,min_interval:o.ONE_SECOND,max_interval:30*o.ONE_MINUTE,num_minor_ticks:0}),new r.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:o.ONE_HOUR,max_interval:12*o.ONE_HOUR,num_minor_ticks:0}),new m.DaysTicker({days:s.range(1,32)}),new m.DaysTicker({days:s.range(1,31,3)}),new m.DaysTicker({days:[1,8,15,22]}),new m.DaysTicker({days:[1,15]}),new _.MonthsTicker({months:s.range(0,12,1)}),new _.MonthsTicker({months:s.range(0,12,2)}),new _.MonthsTicker({months:s.range(0,12,4)}),new _.MonthsTicker({months:s.range(0,12,6)}),new k.YearsTicker({})]})}}n.DatetimeTicker=T,T.__name__=\"DatetimeTicker\",T.init_DatetimeTicker()},\n", " function _(t,e,i,s,r){s();const n=t(179),_=t(9);class a extends n.ContinuousTicker{constructor(t){super(t)}static init_CompositeTicker(){this.define((({Array:t,Ref:e})=>({tickers:[t(e(n.ContinuousTicker)),[]]})))}get min_intervals(){return this.tickers.map((t=>t.get_min_interval()))}get max_intervals(){return this.tickers.map((t=>t.get_max_interval()))}get_min_interval(){return this.min_intervals[0]}get_max_interval(){return this.max_intervals[0]}get_best_ticker(t,e,i){const s=e-t,r=this.get_ideal_interval(t,e,i),n=[_.sorted_index(this.min_intervals,r)-1,_.sorted_index(this.max_intervals,r)],a=[this.min_intervals[n[0]],this.max_intervals[n[1]]].map((t=>Math.abs(i-s/t)));let c;if(_.is_empty(a.filter((t=>!isNaN(t)))))c=this.tickers[0];else{const t=n[_.argmin(a)];c=this.tickers[t]}return c}get_interval(t,e,i){return this.get_best_ticker(t,e,i).get_interval(t,e,i)}get_ticks_no_defaults(t,e,i,s){return this.get_best_ticker(t,e,s).get_ticks_no_defaults(t,e,i,s)}}i.CompositeTicker=a,a.__name__=\"CompositeTicker\",a.init_CompositeTicker()},\n", " function _(t,e,n,i,s){i();const a=t(188),o=t(189),r=t(9);class c extends a.SingleIntervalTicker{constructor(t){super(t)}static init_DaysTicker(){this.define((({Int:t,Array:e})=>({days:[e(t),[]]}))),this.override({num_minor_ticks:0})}initialize(){super.initialize();const t=this.days;t.length>1?this.interval=(t[1]-t[0])*o.ONE_DAY:this.interval=31*o.ONE_DAY}get_ticks_no_defaults(t,e,n,i){const s=function(t,e){const n=o.last_month_no_later_than(new Date(t)),i=o.last_month_no_later_than(new Date(e));i.setUTCMonth(i.getUTCMonth()+1);const s=[],a=n;for(;s.push(o.copy_date(a)),a.setUTCMonth(a.getUTCMonth()+1),!(a>i););return s}(t,e),a=this.days,c=this.interval;return{major:r.concat(s.map((t=>((t,e)=>{const n=t.getUTCMonth(),i=[];for(const s of a){const a=o.copy_date(t);a.setUTCDate(s),new Date(a.getTime()+e/2).getUTCMonth()==n&&i.push(a)}return i})(t,c)))).map((t=>t.getTime())).filter((n=>t<=n&&n<=e)),minor:[]}}}n.DaysTicker=c,c.__name__=\"DaysTicker\",c.init_DaysTicker()},\n", " function _(e,t,n,i,r){i();const l=e(179);class a extends l.ContinuousTicker{constructor(e){super(e)}static init_SingleIntervalTicker(){this.define((({Number:e})=>({interval:[e]})))}get_interval(e,t,n){return this.interval}get_min_interval(){return this.interval}get_max_interval(){return this.interval}}n.SingleIntervalTicker=a,a.__name__=\"SingleIntervalTicker\",a.init_SingleIntervalTicker()},\n", " function _(t,n,e,_,E){function N(t){return new Date(t.getTime())}function O(t){const n=N(t);return n.setUTCDate(1),n.setUTCHours(0),n.setUTCMinutes(0),n.setUTCSeconds(0),n.setUTCMilliseconds(0),n}_(),e.ONE_MILLI=1,e.ONE_SECOND=1e3,e.ONE_MINUTE=60*e.ONE_SECOND,e.ONE_HOUR=60*e.ONE_MINUTE,e.ONE_DAY=24*e.ONE_HOUR,e.ONE_MONTH=30*e.ONE_DAY,e.ONE_YEAR=365*e.ONE_DAY,e.copy_date=N,e.last_month_no_later_than=O,e.last_year_no_later_than=function(t){const n=O(t);return n.setUTCMonth(0),n}},\n", " function _(t,e,n,i,s){i();const r=t(188),a=t(189),o=t(9);class c extends r.SingleIntervalTicker{constructor(t){super(t)}static init_MonthsTicker(){this.define((({Int:t,Array:e})=>({months:[e(t),[]]})))}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*a.ONE_MONTH:this.interval=12*a.ONE_MONTH}get_ticks_no_defaults(t,e,n,i){const s=function(t,e){const n=a.last_year_no_later_than(new Date(t)),i=a.last_year_no_later_than(new Date(e));i.setUTCFullYear(i.getUTCFullYear()+1);const s=[],r=n;for(;s.push(a.copy_date(r)),r.setUTCFullYear(r.getUTCFullYear()+1),!(r>i););return s}(t,e),r=this.months;return{major:o.concat(s.map((t=>r.map((e=>{const n=a.copy_date(t);return n.setUTCMonth(e),n}))))).map((t=>t.getTime())).filter((n=>t<=n&&n<=e)),minor:[]}}}n.MonthsTicker=c,c.__name__=\"MonthsTicker\",c.init_MonthsTicker()},\n", " function _(e,t,a,i,r){i();const n=e(177),_=e(188),s=e(189);class c extends _.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=s.ONE_YEAR,this.basic_ticker=new n.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=s.last_year_no_later_than(new Date(e)).getUTCFullYear(),n=s.last_year_no_later_than(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,n,a,i).major.map((e=>Date.UTC(e,0,1))).filter((a=>e<=a&&a<=t)),minor:[]}}}a.YearsTicker=c,c.__name__=\"YearsTicker\"},\n", " function _(i,s,t,e,o){e();const n=i(173),r=i(193),_=i(194);class c extends n.ContinuousAxisView{}t.LogAxisView=c,c.__name__=\"LogAxisView\";class x extends n.ContinuousAxis{constructor(i){super(i)}static init_LogAxis(){this.prototype.default_view=c,this.override({ticker:()=>new _.LogTicker,formatter:()=>new r.LogTickFormatter})}}t.LogAxis=x,x.__name__=\"LogAxis\",x.init_LogAxis()},\n", " function _(t,e,r,i,n){i();const o=t(166),a=t(176),s=t(194),c=t(167),{log:l,round:u}=Math;class _ extends o.TickFormatter{constructor(t){super(t)}static init_LogTickFormatter(){this.define((({Ref:t,Nullable:e})=>({ticker:[e(t(s.LogTicker)),null]})))}initialize(){super.initialize(),this.basic_formatter=new a.BasicTickFormatter}format_graphics(t,e){var r,i;if(0==t.length)return[];const n=null!==(i=null===(r=this.ticker)||void 0===r?void 0:r.base)&&void 0!==i?i:10,o=this._exponents(t,n);return null==o?this.basic_formatter.format_graphics(t,e):o.map((t=>{const e=new c.TextBox({text:a.unicode_replace(`${n}`)}),r=new c.TextBox({text:a.unicode_replace(`${t}`)});return new c.BaseExpo(e,r)}))}_exponents(t,e){let r=null;const i=[];for(const n of t){const t=u(l(n)/l(e));if(r==t)return null;r=t,i.push(t)}return i}doFormat(t,e){var r,i;if(0==t.length)return[];const n=null!==(i=null===(r=this.ticker)||void 0===r?void 0:r.base)&&void 0!==i?i:10,o=this._exponents(t,n);return null==o?this.basic_formatter.doFormat(t,e):o.map((t=>a.unicode_replace(`${n}^${t}`)))}}r.LogTickFormatter=_,_.__name__=\"LogTickFormatter\",_.init_LogTickFormatter()},\n", " function _(t,o,e,i,s){i();const n=t(178),r=t(9);class c extends n.AdaptiveTicker{constructor(t){super(t)}static init_LogTicker(){this.override({mantissas:[1,5]})}get_ticks_no_defaults(t,o,e,i){const s=this.num_minor_ticks,n=[],c=this.base,a=Math.log(t)/Math.log(c),f=Math.log(o)/Math.log(c),l=f-a;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,i),c=Math.floor(t/e),a=Math.ceil(o/e);if(h=r.range(c,a+1).filter((t=>0!=t)).map((t=>t*e)).filter((e=>t<=e&&e<=o)),s>0&&h.length>0){const t=e/s,o=r.range(0,s).map((o=>o*t));for(const t of o.slice(1))n.push(h[0]-t);for(const t of h)for(const e of o)n.push(t+e)}}else{const t=Math.ceil(.999999*a),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=r.range(t-1,o+1,e).map((t=>c**t)),s>0&&h.length>0){const t=c**e/s,o=r.range(1,s+1).map((o=>o*t));for(const t of o)n.push(h[0]/t);n.push(h[0]);for(const t of h)for(const e of o)n.push(t*e)}}else h=[];return{major:h.filter((e=>t<=e&&e<=o)),minor:n.filter((e=>t<=e&&e<=o))}}}e.LogTicker=c,c.__name__=\"LogTicker\",c.init_LogTicker()},\n", " function _(e,t,i,r,s){r();const a=e(163),o=e(175),c=e(196),n=e(197);class _ extends a.AxisView{}i.MercatorAxisView=_,_.__name__=\"MercatorAxisView\";class x extends o.LinearAxis{constructor(e){super(e)}static init_MercatorAxis(){this.prototype.default_view=_,this.override({ticker:()=>new n.MercatorTicker({dimension:\"lat\"}),formatter:()=>new c.MercatorTickFormatter({dimension:\"lat\"})})}}i.MercatorAxis=x,x.__name__=\"MercatorAxis\",x.init_MercatorAxis()},\n", " function _(r,t,e,o,n){o();const i=r(176),c=r(20),a=r(65);class s extends i.BasicTickFormatter{constructor(r){super(r)}static init_MercatorTickFormatter(){this.define((({Nullable:r})=>({dimension:[r(c.LatLon),null]})))}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n({dimension:[t(e.LatLon),null]})))}get_ticks_no_defaults(t,o,n,r){if(null==this.dimension)throw new Error(`${this}.dimension wasn't configured`);return[t,o]=c.clip_mercator(t,o,this.dimension),\"lon\"==this.dimension?this._get_ticks_lon(t,o,n,r):this._get_ticks_lat(t,o,n,r)}_get_ticks_lon(t,o,n,r){const[s]=c.wgs84_mercator.invert(t,n),[i,e]=c.wgs84_mercator.invert(o,n),_=super.get_ticks_no_defaults(s,i,n,r),a=[];for(const t of _.major)if(c.in_bounds(t,\"lon\")){const[o]=c.wgs84_mercator.compute(t,e);a.push(o)}const m=[];for(const t of _.minor)if(c.in_bounds(t,\"lon\")){const[o]=c.wgs84_mercator.compute(t,e);m.push(o)}return{major:a,minor:m}}_get_ticks_lat(t,o,n,r){const[,s]=c.wgs84_mercator.invert(n,t),[i,e]=c.wgs84_mercator.invert(n,o),_=super.get_ticks_no_defaults(s,e,n,r),a=[];for(const t of _.major)if(c.in_bounds(t,\"lat\")){const[,o]=c.wgs84_mercator.compute(i,t);a.push(o)}const m=[];for(const t of _.minor)if(c.in_bounds(t,\"lat\")){const[,o]=c.wgs84_mercator.compute(i,t);m.push(o)}return{major:a,minor:m}}}n.MercatorTicker=_,_.__name__=\"MercatorTicker\",_.init_MercatorTicker()},\n", " function _(e,i,r,c,k){c(),k(\"AdaptiveTicker\",e(178).AdaptiveTicker),k(\"BasicTicker\",e(177).BasicTicker),k(\"CategoricalTicker\",e(171).CategoricalTicker),k(\"CompositeTicker\",e(186).CompositeTicker),k(\"ContinuousTicker\",e(179).ContinuousTicker),k(\"DatetimeTicker\",e(185).DatetimeTicker),k(\"DaysTicker\",e(187).DaysTicker),k(\"FixedTicker\",e(199).FixedTicker),k(\"LogTicker\",e(194).LogTicker),k(\"MercatorTicker\",e(197).MercatorTicker),k(\"MonthsTicker\",e(190).MonthsTicker),k(\"SingleIntervalTicker\",e(188).SingleIntervalTicker),k(\"Ticker\",e(165).Ticker),k(\"YearsTicker\",e(191).YearsTicker),k(\"BinnedTicker\",e(200).BinnedTicker)},\n", " function _(i,t,e,r,n){r();const s=i(179);class _ extends s.ContinuousTicker{constructor(i){super(i)}static init_FixedTicker(){this.define((({Number:i,Array:t})=>({ticks:[t(i),[]],minor_ticks:[t(i),[]]})))}get_ticks_no_defaults(i,t,e,r){return{major:this.ticks,minor:this.minor_ticks}}get_interval(i,t,e){return 0}get_min_interval(){return 0}get_max_interval(){return 0}}e.FixedTicker=_,_.__name__=\"FixedTicker\",_.init_FixedTicker()},\n", " function _(e,n,t,i,r){i();const c=e(165),o=e(201),s=e(12);class a extends c.Ticker{constructor(e){super(e)}static init_BinnedTicker(){this.define((({Number:e,Ref:n,Or:t,Auto:i})=>({mapper:[n(o.ScanningColorMapper)],num_major_ticks:[t(e,i),8]})))}get_ticks(e,n,t,i){const{binning:r}=this.mapper.metrics,c=Math.max(0,s.left_edge_index(e,r)),o=Math.min(s.left_edge_index(n,r)+1,r.length-1),a=[];for(let e=c;e<=o;e++)a.push(r[e]);const{num_major_ticks:_}=this,m=[],h=\"auto\"==_?a.length:_,l=Math.max(1,Math.floor(a.length/h));for(let e=0;eo.binning[o.binning.length-1])return r;return e[a.left_edge_index(n,o.binning)]}}i.ScanningColorMapper=c,c.__name__=\"ScanningColorMapper\"},\n", " function _(t,o,e,n,s){n();const l=t(203),i=t(61),c=t(9),a=t(8);class r extends l.ColorMapper{constructor(t){super(t),this._scan_data=null}static init_ContinuousColorMapper(){this.define((({Number:t,String:o,Ref:e,Color:n,Or:s,Tuple:l,Array:c,Nullable:a})=>({high:[a(t),null],low:[a(t),null],high_color:[a(n),null],low_color:[a(n),null],domain:[c(l(e(i.GlyphRenderer),s(o,c(o)))),[]]})))}connect_signals(){super.connect_signals();const t=()=>{for(const[t]of this.domain)this.connect(t.view.change,(()=>this.update_data())),this.connect(t.data_source.selected.change,(()=>this.update_data()))};this.connect(this.properties.domain.change,(()=>t())),t()}update_data(){const{domain:t,palette:o}=this,e=[...this._collect(t)];this._scan_data=this.scan(e,o.length),this.metrics_change.emit(),this.change.emit()}get metrics(){return null==this._scan_data&&this.update_data(),this._scan_data}*_collect(t){for(const[o,e]of t)for(const t of a.isArray(e)?e:[e]){let e=o.data_source.get_column(t);e=o.view.indices.select(e);const n=o.view.masked,s=o.data_source.selected.indices;let l;if(null!=n&&s.length>0?l=c.intersection([...n],s):null!=n?l=[...n]:s.length>0&&(l=s),null!=l&&(e=c.map(l,(t=>e[t]))),e.length>0&&!a.isNumber(e[0]))for(const t of e)yield*t;else yield*e}}_v_compute(t,o,e,n){const{nan_color:s}=n;let{low_color:l,high_color:i}=n;null==l&&(l=e[0]),null==i&&(i=e[e.length-1]);const{domain:a}=this,r=c.is_empty(a)?t:[...this._collect(a)];this._scan_data=this.scan(r,e.length),this.metrics_change.emit();for(let n=0,c=t.length;n({palette:[r(t)],nan_color:[t,\"gray\"]})))}v_compute(t){const r=new Array(t.length);return this._v_compute(t,r,this.palette,this._colors((t=>t))),r}get rgba_mapper(){const t=this,r=p(this.palette),e=this._colors(s);return{v_compute(n){const o=new c.ColorArray(n.length);return t._v_compute(n,o,r,e),new Uint8ClampedArray(l.to_big_endian(o).buffer)}}}_colors(t){return{nan_color:t(this.nan_color)}}}e.ColorMapper=u,u.__name__=\"ColorMapper\",u.init_ColorMapper()},\n", " function _(r,e,n,s,o){s();const p=r(149);class t extends p.Transform{constructor(r){super(r)}compute(r){throw new Error(\"mapping single values is not supported\")}}n.Mapper=t,t.__name__=\"Mapper\"},\n", " function _(t,r,a,e,c){e(),c(\"BasicTickFormatter\",t(176).BasicTickFormatter),c(\"CategoricalTickFormatter\",t(172).CategoricalTickFormatter),c(\"DatetimeTickFormatter\",t(180).DatetimeTickFormatter),c(\"FuncTickFormatter\",t(206).FuncTickFormatter),c(\"LogTickFormatter\",t(193).LogTickFormatter),c(\"MercatorTickFormatter\",t(196).MercatorTickFormatter),c(\"NumeralTickFormatter\",t(207).NumeralTickFormatter),c(\"PrintfTickFormatter\",t(208).PrintfTickFormatter),c(\"TickFormatter\",t(166).TickFormatter)},\n", " function _(t,n,e,s,i){s();const r=t(166),c=t(13),a=t(34);class u extends r.TickFormatter{constructor(t){super(t)}static init_FuncTickFormatter(){this.define((({Unknown:t,String:n,Dict:e})=>({args:[e(t),{}],code:[n,\"\"]})))}get names(){return c.keys(this.args)}get values(){return c.values(this.args)}_make_func(){const t=a.use_strict(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,n){const e=this._make_func().bind({});return t.map(((t,n,s)=>`${e(t,n,s,...this.values)}`))}}e.FuncTickFormatter=u,u.__name__=\"FuncTickFormatter\",u.init_FuncTickFormatter()},\n", " function _(r,t,n,e,a){e();const o=r(1).__importStar(r(183)),i=r(166),u=r(20);class c extends i.TickFormatter{constructor(r){super(r)}static init_NumeralTickFormatter(){this.define((({String:r})=>({format:[r,\"0,0\"],language:[r,\"en\"],rounding:[u.RoundingFunction,\"round\"]})))}get _rounding_fn(){switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}}doFormat(r,t){const{format:n,language:e,_rounding_fn:a}=this;return r.map((r=>o.format(r,n,e,a)))}}n.NumeralTickFormatter=c,c.__name__=\"NumeralTickFormatter\",c.init_NumeralTickFormatter()},\n", " function _(t,r,i,n,o){n();const a=t(166),e=t(182);class c extends a.TickFormatter{constructor(t){super(t)}static init_PrintfTickFormatter(){this.define((({String:t})=>({format:[t,\"%s\"]})))}doFormat(t,r){return t.map((t=>e.sprintf(this.format,t)))}}i.PrintfTickFormatter=c,c.__name__=\"PrintfTickFormatter\",c.init_PrintfTickFormatter()},\n", " function _(r,o,a,p,e){p(),e(\"CategoricalColorMapper\",r(210).CategoricalColorMapper),e(\"CategoricalMarkerMapper\",r(212).CategoricalMarkerMapper),e(\"CategoricalPatternMapper\",r(213).CategoricalPatternMapper),e(\"ContinuousColorMapper\",r(202).ContinuousColorMapper),e(\"ColorMapper\",r(203).ColorMapper),e(\"LinearColorMapper\",r(214).LinearColorMapper),e(\"LogColorMapper\",r(215).LogColorMapper),e(\"ScanningColorMapper\",r(201).ScanningColorMapper),e(\"EqHistColorMapper\",r(216).EqHistColorMapper)},\n", " function _(t,o,a,r,e){r();const c=t(211),l=t(203),i=t(104);class s extends l.ColorMapper{constructor(t){super(t)}static init_CategoricalColorMapper(){this.define((({Number:t,Nullable:o})=>({factors:[i.FactorSeq],start:[t,0],end:[o(t),null]})))}_v_compute(t,o,a,{nan_color:r}){c.cat_v_compute(t,this.factors,a,o,this.start,this.end,r)}}a.CategoricalColorMapper=s,s.__name__=\"CategoricalColorMapper\",s.init_CategoricalColorMapper()},\n", " function _(n,t,e,l,i){l();const c=n(12),u=n(8);function f(n,t){if(n.length!=t.length)return!1;for(let e=0,l=n.length;ef(n,h)))),s=_<0||_>=e.length?r:e[_],l[g]=s}}},\n", " function _(r,e,a,t,s){t();const c=r(211),i=r(104),l=r(204),n=r(20);class p extends l.Mapper{constructor(r){super(r)}static init_CategoricalMarkerMapper(){this.define((({Number:r,Array:e,Nullable:a})=>({factors:[i.FactorSeq],markers:[e(n.MarkerType)],start:[r,0],end:[a(r),null],default_value:[n.MarkerType,\"circle\"]})))}v_compute(r){const e=new Array(r.length);return c.cat_v_compute(r,this.factors,this.markers,e,this.start,this.end,this.default_value),e}}a.CategoricalMarkerMapper=p,p.__name__=\"CategoricalMarkerMapper\",p.init_CategoricalMarkerMapper()},\n", " function _(t,a,e,r,n){r();const s=t(211),c=t(104),i=t(204),p=t(20);class l extends i.Mapper{constructor(t){super(t)}static init_CategoricalPatternMapper(){this.define((({Number:t,Array:a,Nullable:e})=>({factors:[c.FactorSeq],patterns:[a(p.HatchPatternType)],start:[t,0],end:[e(t),null],default_value:[p.HatchPatternType,\" \"]})))}v_compute(t){const a=new Array(t.length);return s.cat_v_compute(t,this.factors,this.patterns,a,this.start,this.end,this.default_value),a}}e.CategoricalPatternMapper=l,l.__name__=\"CategoricalPatternMapper\",l.init_CategoricalPatternMapper()},\n", " function _(n,r,o,t,a){t();const e=n(202),i=n(12);class s extends e.ContinuousColorMapper{constructor(n){super(n)}scan(n,r){const o=null!=this.low?this.low:i.min(n),t=null!=this.high?this.high:i.max(n);return{max:t,min:o,norm_factor:1/(t-o),normed_interval:1/r}}cmap(n,r,o,t,a){const e=r.length-1;if(n==a.max)return r[e];const i=(n-a.min)*a.norm_factor,s=Math.floor(i/a.normed_interval);return s<0?o:s>e?t:r[s]}}o.LinearColorMapper=s,s.__name__=\"LinearColorMapper\"},\n", " function _(o,t,n,r,l){r();const a=o(202),s=o(12);class e extends a.ContinuousColorMapper{constructor(o){super(o)}scan(o,t){const n=null!=this.low?this.low:s.min(o),r=null!=this.high?this.high:s.max(o);return{max:r,min:n,scale:t/(Math.log(r)-Math.log(n))}}cmap(o,t,n,r,l){const a=t.length-1;if(o>l.max)return r;if(o==l.max)return t[a];if(oa&&(e=a),t[e]}}n.LogColorMapper=e,e.__name__=\"LogColorMapper\"},\n", " function _(n,t,i,e,o){e();const s=n(201),r=n(12),a=n(9),l=n(19);class c extends s.ScanningColorMapper{constructor(n){super(n)}static init_EqHistColorMapper(){this.define((({Int:n})=>({bins:[n,65536]})))}scan(n,t){const i=null!=this.low?this.low:r.min(n),e=null!=this.high?this.high:r.max(n),o=this.bins,s=a.linspace(i,e,o+1),c=r.bin_counts(n,s),h=new Array(o);for(let n=0,t=s.length;nn/g));let m=t-1,M=[],_=0,f=2*t;for(;m!=t&&_<4&&0!=m;){const n=f/m;if(n>1e3)break;f=Math.round(Math.max(t*n,t));const i=a.range(0,f),e=r.map(u,(n=>n*(f-1)));M=r.interpolate(i,e,h);m=a.uniq(M).length-1,_++}if(0==m){M=[i,e];for(let n=0;ne*n+t}compute(e){return this._linear_compute(e)}v_compute(e){return this._linear_v_compute(e)}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}n.LinearScale=u,u.__name__=\"LinearScale\"},\n", " function _(n,t,e,r,i){r();const a=n(146),o=n(12);class c extends a.Scale{constructor(n){super(n)}static init_LinearInterpolationScale(){this.internal((({Arrayable:n})=>({binning:[n]})))}get s_compute(){throw new Error(\"not implemented\")}compute(n){return n}v_compute(n){const{binning:t}=this,{start:e,end:r}=this.source_range,i=e,a=r,c=t.length,l=(r-e)/(c-1),s=new Float64Array(c);for(let n=0;n{if(na)return a;const e=o.left_edge_index(n,t);if(-1==e)return i;if(e>=c-1)return a;const r=t[e],l=(n-r)/(t[e+1]-r),u=s[e];return u+l*(s[e+1]-u)}));return this._linear_v_compute(u)}invert(n){return n}v_invert(n){return new Float64Array(n)}}e.LinearInterpolationScale=c,c.__name__=\"LinearInterpolationScale\",c.init_LinearInterpolationScale()},\n", " function _(a,n,e,g,R){g(),R(\"DataRange\",a(160).DataRange),R(\"DataRange1d\",a(159).DataRange1d),R(\"FactorRange\",a(104).FactorRange),R(\"Range\",a(105).Range),R(\"Range1d\",a(156).Range1d)},\n", " function _(a,o,i,t,e){t();var n=a(141);e(\"Sizeable\",n.Sizeable),e(\"SizingPolicy\",n.SizingPolicy);var c=a(142);e(\"Layoutable\",c.Layoutable),e(\"LayoutItem\",c.LayoutItem);var r=a(222);e(\"HStack\",r.HStack),e(\"VStack\",r.VStack);var l=a(223);e(\"Grid\",l.Grid),e(\"Row\",l.Row),e(\"Column\",l.Column);var S=a(224);e(\"ContentBox\",S.ContentBox),e(\"VariadicBox\",S.VariadicBox)},\n", " function _(t,e,h,i,r){i();const n=t(142),o=t(99);class s extends n.Layoutable{constructor(){super(...arguments),this.children=[]}*[Symbol.iterator](){yield*this.children}}h.Stack=s,s.__name__=\"Stack\";class c extends s{_measure(t){let e=0,h=0;for(const t of this.children){const i=t.measure({width:0,height:0});e+=i.width,h=Math.max(h,i.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t.top:0;let i=this.absolute?t.left:0;const{height:r}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new o.BBox({left:i,width:e,top:h,height:r})),i+=e}}}h.HStack=c,c.__name__=\"HStack\";class a extends s{_measure(t){let e=0,h=0;for(const t of this.children){const i=t.measure({width:0,height:0});e=Math.max(e,i.width),h+=i.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t.left:0;let i=this.absolute?t.top:0;const{width:r}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new o.BBox({top:i,height:e,left:h,width:r})),i+=e}}}h.VStack=a,a.__name__=\"VStack\";class l extends n.Layoutable{constructor(){super(...arguments),this.children=[]}*[Symbol.iterator](){yield*this.children}_measure(t){const{width_policy:e,height_policy:h}=this.sizing,{min:i,max:r}=Math;let n=0,o=0;for(const e of this.children){const{width:h,height:i}=e.measure(t);n=r(n,h),o=r(o,i)}return{width:(()=>{const{width:h}=this.sizing;if(t.width==1/0)return\"fixed\"==e&&null!=h?h:n;switch(e){case\"fixed\":return null!=h?h:n;case\"min\":return n;case\"fit\":return null!=h?i(t.width,h):t.width;case\"max\":return null!=h?r(t.width,h):t.width}})(),height:(()=>{const{height:e}=this.sizing;if(t.height==1/0)return\"fixed\"==h&&null!=e?e:o;switch(h){case\"fixed\":return null!=e?e:o;case\"min\":return o;case\"fit\":return null!=e?i(t.height,e):t.height;case\"max\":return null!=e?r(t.height,e):t.height}})()}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t:t.relative(),{left:i,right:r,top:n,bottom:s}=h,c=Math.round(h.vcenter),a=Math.round(h.hcenter);for(const e of this.children){const{margin:h,halign:l,valign:d}=e.sizing,{width:u,height:g,inner:_}=e.measure(t),w=(()=>{switch(`${d}_${l}`){case\"start_start\":return new o.BBox({left:i+h.left,top:n+h.top,width:u,height:g});case\"start_center\":return new o.BBox({hcenter:a,top:n+h.top,width:u,height:g});case\"start_end\":return new o.BBox({right:r-h.right,top:n+h.top,width:u,height:g});case\"center_start\":return new o.BBox({left:i+h.left,vcenter:c,width:u,height:g});case\"center_center\":return new o.BBox({hcenter:a,vcenter:c,width:u,height:g});case\"center_end\":return new o.BBox({right:r-h.right,vcenter:c,width:u,height:g});case\"end_start\":return new o.BBox({left:i+h.left,bottom:s-h.bottom,width:u,height:g});case\"end_center\":return new o.BBox({hcenter:a,bottom:s-h.bottom,width:u,height:g});case\"end_end\":return new o.BBox({right:r-h.right,bottom:s-h.bottom,width:u,height:g})}})(),m=null==_?w:new o.BBox({left:w.left+_.left,top:w.top+_.top,right:w.right-_.right,bottom:w.bottom-_.bottom});e.set_geometry(w,m)}}}h.NodeLayout=l,l.__name__=\"NodeLayout\"},\n", " function _(t,i,s,e,o){e();const n=t(141),l=t(142),r=t(8),h=t(99),c=t(9),{max:a,round:g}=Math;class p{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}p.__name__=\"DefaultMap\";class f{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=a(this._nrows,s+1),this._ncols=a(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter((({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1)).map((({data:t})=>t))}row(t){return this._items.filter((({span:i})=>i.r0<=t&&t<=i.r1)).map((({data:t})=>t))}col(t){return this._items.filter((({span:i})=>i.c0<=t&&t<=i.c1)).map((({data:t})=>t))}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new f;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}f.__name__=\"Container\";class _ extends l.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0}*[Symbol.iterator](){for(const{layout:t}of this.items)yield t}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return c.some(t,(t=>\"max\"==t.policy))}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return c.some(t,(t=>\"max\"==t.policy))}_init(){var t,i,s,e;super._init();const o=new f;for(const{layout:t,row:i,col:s,row_span:e,col_span:n}of this.items)if(t.sizing.visible){const l=i,r=s,h=i+(null!=e?e:1)-1,c=s+(null!=n?n:1)-1;o.add({r0:l,c0:r,r1:h,c1:c},t)}const{nrows:n,ncols:l}=o,h=new Array(n);for(let s=0;s{var t;const i=r.isPlainObject(this.rows)?null!==(t=this.rows[s])&&void 0!==t?t:this.rows[\"*\"]:this.rows;return null==i?{policy:\"auto\"}:r.isNumber(i)?{policy:\"fixed\",height:i}:r.isString(i)?{policy:i}:i})(),n=null!==(t=e.align)&&void 0!==t?t:\"auto\";if(\"fixed\"==e.policy)h[s]={policy:\"fixed\",height:e.height,align:n};else if(\"min\"==e.policy)h[s]={policy:\"min\",align:n};else if(\"fit\"==e.policy||\"max\"==e.policy)h[s]={policy:e.policy,flex:null!==(i=e.flex)&&void 0!==i?i:1,align:n};else{if(\"auto\"!=e.policy)throw new Error(\"unrechable\");c.some(o.row(s),(t=>t.is_height_expanding()))?h[s]={policy:\"max\",flex:1,align:n}:h[s]={policy:\"min\",align:n}}}const a=new Array(l);for(let t=0;t{var i;const s=r.isPlainObject(this.cols)?null!==(i=this.cols[t])&&void 0!==i?i:this.cols[\"*\"]:this.cols;return null==s?{policy:\"auto\"}:r.isNumber(s)?{policy:\"fixed\",width:s}:r.isString(s)?{policy:s}:s})(),n=null!==(s=i.align)&&void 0!==s?s:\"auto\";if(\"fixed\"==i.policy)a[t]={policy:\"fixed\",width:i.width,align:n};else if(\"min\"==i.policy)a[t]={policy:\"min\",align:n};else if(\"fit\"==i.policy||\"max\"==i.policy)a[t]={policy:i.policy,flex:null!==(e=i.flex)&&void 0!==e?e:1,align:n};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");c.some(o.col(t),(t=>t.is_width_expanding()))?a[t]={policy:\"max\",flex:1,align:n}:a[t]={policy:\"min\",align:n}}}const[g,p]=r.isNumber(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:o,nrows:n,ncols:l,rows:h,cols:a,rspacing:g,cspacing:p}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:c.sum(t)+(s-1)*o,width:c.sum(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:e,rows:o,cols:l,rspacing:r,cspacing:h}=this._state,c=new Array(s);for(let t=0;t{const{r0:e,c0:f,r1:d,c1:u}=i,w=(d-e)*r,m=(u-f)*h;let y=0;for(let i=e;i<=d;i++)y+=t(i,f).height;y+=w;let x=0;for(let i=f;i<=u;i++)x+=t(e,i).width;x+=m;const b=s.measure({width:x,height:y});_.add(i,{layout:s,size_hint:b});const z=new n.Sizeable(b).grow_by(s.sizing.margin);z.height-=w,z.width-=m;const v=[];for(let t=e;t<=d;t++){const i=o[t];\"fixed\"==i.policy?z.height-=i.height:v.push(t)}if(z.height>0){const t=g(z.height/v.length);for(const i of v)c[i]=a(c[i],t)}const j=[];for(let t=f;t<=u;t++){const i=l[t];\"fixed\"==i.policy?z.width-=i.width:j.push(t)}if(z.width>0){const t=g(z.width/j.length);for(const i of j)p[i]=a(p[i],t)}}));return{size:this._measure_totals(c,p),row_heights:c,col_widths:p,size_hints:_}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:l}=this._state,r=this._measure_cells(((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}}));let h;h=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:r.size.height;let c,p=0;for(let t=0;t0)for(let t=0;ti?i:e,t--}}}c=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:r.size.width;let f=0;for(let t=0;t0)for(let t=0;ts?s:o,t--}}}const{row_heights:_,col_widths:d,size_hints:u}=this._measure_cells(((t,i)=>({width:r.col_widths[i],height:r.row_heights[t]})));return{size:this._measure_totals(_,d),row_heights:_,col_widths:d,size_hints:u}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:l,col_widths:r,size_hints:c}=this._measure_grid(t),f=this._state.rows.map(((t,i)=>Object.assign(Object.assign({},t),{top:0,height:l[i],get bottom(){return this.top+this.height}}))),_=this._state.cols.map(((t,i)=>Object.assign(Object.assign({},t),{left:0,width:r[i],get right(){return this.left+this.width}}))),d=c.map(((t,i)=>Object.assign(Object.assign({},i),{outer:new h.BBox,inner:new h.BBox})));for(let i=0,e=this.absolute?t.top:0;i{const{layout:r,size_hint:c}=l,{sizing:a}=r,{width:p,height:d}=c,u=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=_[e].width;return s}(i,e),w=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=f[e].height;return s}(t,s),m=i==e&&\"auto\"!=_[i].align?_[i].align:a.halign,y=t==s&&\"auto\"!=f[t].align?f[t].align:a.valign;let x=_[i].left;\"start\"==m?x+=a.margin.left:\"center\"==m?x+=g((u-p)/2):\"end\"==m&&(x+=u-a.margin.right-p);let b=f[t].top;\"start\"==y?b+=a.margin.top:\"center\"==y?b+=g((w-d)/2):\"end\"==y&&(b+=w-a.margin.bottom-d),l.outer=new h.BBox({left:x,top:b,width:p,height:d})}));const u=f.map((()=>({start:new p((()=>0)),end:new p((()=>0))}))),w=_.map((()=>({start:new p((()=>0)),end:new p((()=>0))})));d.foreach((({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:l}=o;null!=l&&(u[t].start.apply(n.top,(t=>a(t,l.top))),u[s].end.apply(f[s].bottom-n.bottom,(t=>a(t,l.bottom))),w[i].start.apply(n.left,(t=>a(t,l.left))),w[e].end.apply(_[e].right-n.right,(t=>a(t,l.right))))})),d.foreach((({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:l}=o,r=t=>{const i=this.absolute?l:l.relative(),s=i.left+t.left,e=i.top+t.top,o=i.right-t.right,n=i.bottom-t.bottom;return new h.BBox({left:s,top:e,right:o,bottom:n})};if(null!=n.inner){let h=r(n.inner);if(!1!==n.align){const o=u[t].start.get(l.top),n=u[s].end.get(f[s].bottom-l.bottom),c=w[i].start.get(l.left),a=w[e].end.get(_[e].right-l.right);try{h=r({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=h}else o.inner=l})),d.foreach(((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)}))}}s.Grid=_,_.__name__=\"Grid\";class d extends _{constructor(t){super(),this.items=t.map(((t,i)=>({layout:t,row:0,col:i}))),this.rows=\"fit\"}}s.Row=d,d.__name__=\"Row\";class u extends _{constructor(t){super(),this.items=t.map(((t,i)=>({layout:t,row:i,col:0}))),this.cols=\"fit\"}}s.Column=u,u.__name__=\"Column\"},\n", " function _(e,t,s,n,i){n();const a=e(142),c=e(141),o=e(43);class r extends a.ContentLayoutable{constructor(e){super(),this.content_size=o.unsized(e,(()=>new c.Sizeable(o.size(e))))}_content_size(){return this.content_size}}s.ContentBox=r,r.__name__=\"ContentBox\";class _ extends a.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new c.Sizeable(e).bounded_to(this.sizing.size);return o.sized(this.el,t,(()=>{const e=new c.Sizeable(o.content_size(this.el)),{border:t,padding:s}=o.extents(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)}))}}s.VariadicBox=_,_.__name__=\"VariadicBox\";class h extends _{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=h,h.__name__=\"CachedVariadicBox\"},\n", " function _(t,e,i,h,o){h();const s=t(141),r=t(142),n=t(99);class g extends r.Layoutable{constructor(){super(...arguments),this.min_border={left:0,top:0,right:0,bottom:0},this.padding={left:0,top:0,right:0,bottom:0}}*[Symbol.iterator](){yield this.top_panel,yield this.bottom_panel,yield this.left_panel,yield this.right_panel,yield this.center_panel}_measure(t){t=new s.Sizeable({width:\"fixed\"==this.sizing.width_policy||t.width==1/0?this.sizing.width:t.width,height:\"fixed\"==this.sizing.height_policy||t.height==1/0?this.sizing.height:t.height});const e=this.left_panel.measure({width:0,height:t.height}),i=Math.max(e.width,this.min_border.left)+this.padding.left,h=this.right_panel.measure({width:0,height:t.height}),o=Math.max(h.width,this.min_border.right)+this.padding.right,r=this.top_panel.measure({width:t.width,height:0}),n=Math.max(r.height,this.min_border.top)+this.padding.top,g=this.bottom_panel.measure({width:t.width,height:0}),a=Math.max(g.height,this.min_border.bottom)+this.padding.bottom,d=new s.Sizeable(t).shrink_by({left:i,right:o,top:n,bottom:a}),l=this.center_panel.measure(d);return{width:i+l.width+o,height:n+l.height+a,inner:{left:i,right:o,top:n,bottom:a},align:(()=>{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const i=this.left_panel.measure({width:0,height:t.height}),h=this.right_panel.measure({width:0,height:t.height}),o=this.top_panel.measure({width:t.width,height:0}),s=this.bottom_panel.measure({width:t.width,height:0}),{left:r,top:g,right:a,bottom:d}=e;this.top_panel.set_geometry(new n.BBox({left:r,right:a,bottom:g,height:o.height})),this.bottom_panel.set_geometry(new n.BBox({left:r,right:a,top:d,height:s.height})),this.left_panel.set_geometry(new n.BBox({top:g,bottom:d,right:r,width:i.width})),this.right_panel.set_geometry(new n.BBox({top:g,bottom:d,left:a,width:h.width}))}}i.BorderLayout=g,g.__name__=\"BorderLayout\"},\n", " function _(t,e,i,s,n){s();const o=t(1),l=t(139),a=t(10),_=t(143),d=t(20),h=o.__importStar(t(48));class r extends l.TextAnnotationView{_get_size(){const{ctx:t}=this.layer;this.visuals.text.set_value(t);const{width:e}=t.measureText(this.model.text),{height:i}=_.font_metrics(t.font);return{width:e,height:i}}_render(){const{angle:t,angle_units:e}=this.model,i=a.resolve_angle(t,e),s=null!=this.layout?this.layout:this.plot_view.frame,n=this.coordinates.x_scale,o=this.coordinates.y_scale;let l=\"data\"==this.model.x_units?n.compute(this.model.x):s.bbox.xview.compute(this.model.x),_=\"data\"==this.model.y_units?o.compute(this.model.y):s.bbox.yview.compute(this.model.y);l+=this.model.x_offset,_-=this.model.y_offset;(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,this.model.text,l,_,i)}}i.LabelView=r,r.__name__=\"LabelView\";class c extends l.TextAnnotation{constructor(t){super(t)}static init_Label(){this.prototype.default_view=r,this.mixins([h.Text,[\"border_\",h.Line],[\"background_\",h.Fill]]),this.define((({Number:t,String:e,Angle:i})=>({x:[t],x_units:[d.SpatialUnits,\"data\"],y:[t],y_units:[d.SpatialUnits,\"data\"],text:[e,\"\"],angle:[i,0],angle_units:[d.AngleUnits,\"rad\"],x_offset:[t,0],y_offset:[t,0]}))),this.override({background_fill_color:null,border_line_color:null})}}i.Label=c,c.__name__=\"Label\",c.init_Label()},\n", " function _(t,e,s,i,o){i();const l=t(1),n=t(139),a=t(56),r=t(130),_=l.__importStar(t(48)),c=t(20),h=t(43),d=l.__importStar(t(18)),u=t(143);class x extends n.TextAnnotationView{set_data(t){a.DataAnnotationView.prototype.set_data.call(this,t)}initialize(){if(super.initialize(),this.set_data(this.model.source),\"css\"==this.model.render_mode)for(let t=0,e=this.text.length;t{this.set_data(this.model.source),\"css\"==this.model.render_mode?this.render():this.request_render()};this.connect(this.model.change,t),this.connect(this.model.source.streaming,t),this.connect(this.model.source.patching,t),this.connect(this.model.source.change,t)}_calculate_text_dimensions(t,e){const{width:s}=t.measureText(e),{height:i}=u.font_metrics(this.visuals.text.font_value(0));return[s,i]}_map_data(){const t=this.coordinates.x_scale,e=this.coordinates.y_scale,s=null!=this.layout?this.layout:this.plot_view.frame;return[\"data\"==this.model.x_units?t.v_compute(this._x):s.bbox.xview.v_compute(this._x),\"data\"==this.model.y_units?e.v_compute(this._y):s.bbox.yview.v_compute(this._y)]}_render(){const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer,[s,i]=this._map_data();for(let o=0,l=this.text.length;o({x:[d.XCoordinateSpec,{field:\"x\"}],y:[d.YCoordinateSpec,{field:\"y\"}],x_units:[c.SpatialUnits,\"data\"],y_units:[c.SpatialUnits,\"data\"],text:[d.StringSpec,{field:\"text\"}],angle:[d.AngleSpec,0],x_offset:[d.NumberSpec,{value:0}],y_offset:[d.NumberSpec,{value:0}],source:[t(r.ColumnDataSource),()=>new r.ColumnDataSource]}))),this.override({background_fill_color:null,border_line_color:null})}}s.LabelSet=v,v.__name__=\"LabelSet\",v.init_LabelSet()},\n", " function _(t,e,i,s,l){s();const n=t(1),h=t(40),o=t(229),a=t(20),_=n.__importStar(t(48)),r=t(15),d=t(140),c=t(143),g=t(99),m=t(9),b=t(8),f=t(11);class u extends h.AnnotationView{update_layout(){const{panel:t}=this;this.layout=null!=t?new d.SideLayout(t,(()=>this.get_size())):void 0}cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.model.border_line_color?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render())),this.connect(this.model.item_change,(()=>this.request_render()))}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:s,label_width:l}=this.model;this.max_label_height=m.max([c.font_metrics(this.visuals.label_text.font_value()).height,s,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,m.max([n.measureText(e).width,l]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?c.font_metrics(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const h=Math.max(m.max([...this.text_widths.values()]),0),o=this.model.margin,{legend_padding:a}=this,_=this.model.spacing,{label_standoff:r}=this.model;let d,u;if(\"vertical\"==this.model.orientation)d=t.length*this.max_label_height+Math.max(t.length-1,0)*_+2*a+this.title_height,u=m.max([h+i+r+2*a,this.title_width+2*a]);else{let e=2*a+Math.max(t.length-1,0)*_;for(const[,t]of this.text_widths)e+=m.max([t,l])+i+r;u=m.max([this.title_width+2*a,e]),d=this.max_label_height+this.title_height+2*a}const x=null!=this.layout?this.layout:this.plot_view.frame,[p,w]=x.bbox.ranges,{location:v}=this.model;let y,k;if(b.isString(v))switch(v){case\"top_left\":y=p.start+o,k=w.start+o;break;case\"top\":case\"top_center\":y=(p.end+p.start)/2-u/2,k=w.start+o;break;case\"top_right\":y=p.end-o-u,k=w.start+o;break;case\"bottom_right\":y=p.end-o-u,k=w.end-o-d;break;case\"bottom\":case\"bottom_center\":y=(p.end+p.start)/2-u/2,k=w.end-o-d;break;case\"bottom_left\":y=p.start+o,k=w.end-o-d;break;case\"left\":case\"center_left\":y=p.start+o,k=(w.end+w.start)/2-d/2;break;case\"center\":case\"center_center\":y=(p.end+p.start)/2-u/2,k=(w.end+w.start)/2-d/2;break;case\"right\":case\"center_right\":y=p.end-o-u,k=(w.end+w.start)/2-d/2}else if(b.isArray(v)&&2==v.length){const[t,e]=v;y=x.bbox.xview.compute(t),k=x.bbox.yview.compute(e)-d}else f.unreachable();return new g.BBox({left:y,top:k,width:u,height:d})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let o=i=l;const a=this.compute_legend_bbox(),_=\"vertical\"==this.model.orientation;for(const r of this.model.items){const d=r.get_labels_list_from_label_prop();for(const c of d){const d=a.x+o,m=a.y+i+this.title_height;let b,f;[b,f]=_?[a.width-2*l,this.max_label_height]:[this.text_widths.get(c)+s+h,this.max_label_height];if(new g.BBox({left:d,top:m,width:b,height:f}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of r.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of r.renderers)t.muted=!t.muted}return!0}_?i+=this.max_label_height+n:o+=this.text_widths.get(c)+s+h+n}}return!1}_render(){if(0==this.model.items.length)return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.set_value(t),t.fill(),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.stroke())}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let o=l,a=l;const _=\"vertical\"==this.model.orientation;for(const r of this.model.items){const d=r.get_labels_list_from_label_prop(),c=r.get_field_from_label_prop();if(0==d.length)continue;const g=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return m.every(r.renderers,(t=>t.visible));case\"mute\":return m.every(r.renderers,(t=>!t.muted))}})();for(const m of d){const d=e.x+o,b=e.y+a+this.title_height,f=d+i,u=b+s;_?a+=this.max_label_height+n:o+=this.text_widths.get(m)+i+h+n,this.visuals.label_text.set_value(t),t.fillText(m,f+h,b+this.max_label_height/2);for(const e of r.renderers){const i=this.plot_view.renderer_view(e);null==i||i.draw_legend(t,d,f,b,u,c,m,r.index)}if(!g){let s,n;[s,n]=_?[e.width-2*l,this.max_label_height]:[this.text_widths.get(m)+i+h,this.max_label_height],t.beginPath(),t.rect(d,b,s,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){const{title:i}=this.model;i&&this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(i,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=u,u.__name__=\"LegendView\";class x extends h.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new r.Signal0(this,\"item_change\")}static init_Legend(){this.prototype.default_view=u,this.mixins([[\"label_\",_.Text],[\"title_\",_.Text],[\"inactive_\",_.Fill],[\"border_\",_.Line],[\"background_\",_.Fill]]),this.define((({Number:t,String:e,Array:i,Tuple:s,Or:l,Ref:n,Nullable:h})=>({orientation:[a.Orientation,\"vertical\"],location:[l(a.LegendLocation,s(t,t)),\"top_right\"],title:[h(e),null],title_standoff:[t,5],label_standoff:[t,5],glyph_height:[t,20],glyph_width:[t,20],label_height:[t,20],label_width:[t,20],margin:[t,10],padding:[t,10],spacing:[t,3],items:[i(n(o.LegendItem)),[]],click_policy:[a.LegendClickPolicy,\"none\"]}))),this.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=x,x.__name__=\"Legend\",x.init_Legend()},\n", " function _(e,r,n,l,t){l();const i=e(1),s=e(53),o=e(61),_=e(57),a=e(230),u=i.__importStar(e(18)),d=e(19),c=e(9);class f extends s.Model{constructor(e){super(e)}static init_LegendItem(){this.define((({Int:e,Array:r,Ref:n,Nullable:l})=>({label:[u.NullStringSpec,null],renderers:[r(n(o.GlyphRenderer)),[]],index:[l(e),null]})))}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!c.includes(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,(()=>{var e;return null===(e=this.legend)||void 0===e?void 0:e.item_change.emit()}));this._check_data_sources_on_renderers()||d.logger.error(\"Non matching data sources on legend item renderers\");this._check_field_label_on_data_source()||d.logger.error(`Bad column name on label: ${this.label}`)}get_field_from_label_prop(){const{label:e}=this;return a.isField(e)?e.field:null}get_labels_list_from_label_prop(){if(a.isValue(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof _.ColumnarDataSource){const n=r.get_column(e);return null!=n?c.uniq(Array.from(n)):[\"Invalid field\"]}}return[]}}n.LegendItem=f,f.__name__=\"LegendItem\",f.init_LegendItem()},\n", " function _(i,n,e,t,u){t();const c=i(8);e.isValue=function(i){return c.isPlainObject(i)&&\"value\"in i},e.isField=function(i){return c.isPlainObject(i)&&\"field\"in i},e.isExpr=function(i){return c.isPlainObject(i)&&\"expr\"in i}},\n", " function _(t,i,s,n,e){n();const o=t(1),l=t(40),a=o.__importStar(t(48)),c=t(20);class h extends l.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{xs:t,ys:i}=this.model;if(t.length!=i.length)return;const s=t.length;if(s<3)return;const{frame:n}=this.plot_view,{ctx:e}=this.layer,o=this.coordinates.x_scale,l=this.coordinates.y_scale,{screen:a}=this.model;function c(t,i,s,n){return a?t:\"data\"==i?s.v_compute(t):n.v_compute(t)}const h=c(t,this.model.xs_units,o,n.bbox.xview),r=c(i,this.model.ys_units,l,n.bbox.yview);e.beginPath();for(let t=0;t({xs:[i(t),[]],xs_units:[c.SpatialUnits,\"data\"],ys:[i(t),[]],ys_units:[c.SpatialUnits,\"data\"]}))),this.internal((({Boolean:t})=>({screen:[t,!1]}))),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}update({xs:t,ys:i}){this.setv({xs:t,ys:i,screen:!0},{check_eq:!1})}}s.PolyAnnotation=r,r.__name__=\"PolyAnnotation\",r.init_PolyAnnotation()},\n", " function _(e,t,i,n,o){n();const s=e(1),l=e(40),r=s.__importStar(e(48));class c extends l.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{gradient:e,y_intercept:t}=this.model;if(null==e||null==t)return;const{frame:i}=this.plot_view,n=this.coordinates.x_scale,o=this.coordinates.y_scale;let s,l,r,c;if(0==e)s=o.compute(t),l=s,r=i.bbox.left,c=r+i.bbox.width;else{s=i.bbox.top,l=s+i.bbox.height;const a=(o.invert(s)-t)/e,_=(o.invert(l)-t)/e;r=n.compute(a),c=n.compute(_)}const{ctx:a}=this.layer;a.save(),a.beginPath(),this.visuals.line.set_value(a),a.moveTo(r,s),a.lineTo(c,l),a.stroke(),a.restore()}}i.SlopeView=c,c.__name__=\"SlopeView\";class a extends l.Annotation{constructor(e){super(e)}static init_Slope(){this.prototype.default_view=c,this.mixins(r.Line),this.define((({Number:e,Nullable:t})=>({gradient:[t(e),null],y_intercept:[t(e),null]}))),this.override({line_color:\"black\"})}}i.Slope=a,a.__name__=\"Slope\",a.init_Slope()},\n", " function _(e,i,t,n,o){n();const s=e(1),a=e(40),l=s.__importStar(e(48)),h=e(20);class c extends a.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.plot_view.request_paint(this)))}_render(){const{location:e}=this.model;if(null==e)return;const{frame:i}=this.plot_view,t=this.coordinates.x_scale,n=this.coordinates.y_scale,o=(i,t)=>\"data\"==this.model.location_units?i.compute(e):this.model.for_hover?e:t.compute(e);let s,a,l,h;\"width\"==this.model.dimension?(l=o(n,i.bbox.yview),a=i.bbox.left,h=i.bbox.width,s=this.model.line_width):(l=i.bbox.top,a=o(t,i.bbox.xview),h=this.model.line_width,s=i.bbox.height);const{ctx:c}=this.layer;c.save(),c.beginPath(),this.visuals.line.set_value(c),c.moveTo(a,l),\"width\"==this.model.dimension?c.lineTo(a+h,l):c.lineTo(a,l+s),c.stroke(),c.restore()}}t.SpanView=c,c.__name__=\"SpanView\";class d extends a.Annotation{constructor(e){super(e)}static init_Span(){this.prototype.default_view=c,this.mixins(l.Line),this.define((({Number:e,Nullable:i})=>({render_mode:[h.RenderMode,\"canvas\"],location:[i(e),null],location_units:[h.SpatialUnits,\"data\"],dimension:[h.Dimension,\"width\"]}))),this.internal((({Boolean:e})=>({for_hover:[e,!1]}))),this.override({line_color:\"black\"})}}t.Span=d,d.__name__=\"Span\",d.init_Span()},\n", " function _(i,e,t,o,l){o();const s=i(40),a=i(235),n=i(122),r=i(43),_=i(140),h=i(99);class b extends s.AnnotationView{constructor(){super(...arguments),this._invalidate_toolbar=!0,this._previous_bbox=new h.BBox}update_layout(){this.layout=new _.SideLayout(this.panel,(()=>this.get_size()),!0)}initialize(){super.initialize(),this.el=r.div(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){await super.lazy_initialize(),this._toolbar_view=await n.build_view(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push((i=>this._toolbar_view.set_visibility(i)))}remove(){this._toolbar_view.remove(),r.remove(this.el),super.remove()}render(){this.model.visible||r.undisplay(this.el),super.render()}_render(){const{bbox:i}=this.layout;this._previous_bbox.equals(i)||(r.position(this.el,i),this._previous_bbox=i),this._invalidate_toolbar&&(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",this._toolbar_view.render(),r.empty(this.el),this.el.appendChild(this._toolbar_view.el),this._invalidate_toolbar=!1),r.display(this.el)}_get_size(){const{tools:i,logo:e}=this.model.toolbar;return{width:30*i.length+(null!=e?25:0),height:30}}}t.ToolbarPanelView=b,b.__name__=\"ToolbarPanelView\";class d extends s.Annotation{constructor(i){super(i)}static init_ToolbarPanel(){this.prototype.default_view=b,this.define((({Ref:i})=>({toolbar:[i(a.Toolbar)]})))}}t.ToolbarPanel=d,d.__name__=\"ToolbarPanel\",d.init_ToolbarPanel()},\n", " function _(t,s,e,i,o){i();const c=t(8),n=t(9),a=t(13),l=t(236),r=t(237),_=t(247),p=t(248);e.Drag=l.Tool,e.Inspection=l.Tool,e.Scroll=l.Tool,e.Tap=l.Tool;const u=t=>{switch(t){case\"tap\":return\"active_tap\";case\"pan\":return\"active_drag\";case\"pinch\":case\"scroll\":return\"active_scroll\";case\"multi\":return\"active_multi\"}return null},h=t=>\"tap\"==t||\"pan\"==t;class v extends p.ToolbarBase{constructor(t){super(t)}static init_Toolbar(){this.prototype.default_view=p.ToolbarBaseView,this.define((({Or:t,Ref:s,Auto:i,Null:o,Nullable:c})=>({active_drag:[t(s(e.Drag),i,o),\"auto\"],active_inspect:[t(s(e.Inspection),i,o),\"auto\"],active_scroll:[t(s(e.Scroll),i,o),\"auto\"],active_tap:[t(s(e.Tap),i,o),\"auto\"],active_multi:[c(s(r.GestureTool)),null]})))}connect_signals(){super.connect_signals();const{tools:t,active_drag:s,active_inspect:e,active_scroll:i,active_tap:o,active_multi:c}=this.properties;this.on_change([t,s,e,i,o,c],(()=>this._init_tools()))}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof _.InspectTool){let t=!1;for(const s of this.inspectors)s!=this.active_inspect?s.active=!1:t=!0;t||(this.active_inspect=null)}else if(c.isArray(this.active_inspect)){const t=n.intersection(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)n.includes(this.active_inspect,t)||(t.active=!1)}else if(null==this.active_inspect)for(const t of this.inspectors)t.active=!1;const t=t=>{t.active?this._active_change(t):t.active=!0};for(const t of a.values(this.gestures)){t.tools=n.sort_by(t.tools,(t=>t.default_order));for(const s of t.tools)this.connect(s.properties.active.change,(()=>this._active_change(s)))}for(const[s,e]of a.entries(this.gestures)){const i=u(s);if(i){const o=this[i];\"auto\"==o?0!=e.tools.length&&h(s)&&t(e.tools[0]):null!=o&&(n.includes(this.tools,o)?t(o):this[i]=null)}}}}e.Toolbar=v,v.__name__=\"Toolbar\",v.init_Toolbar()},\n", " function _(t,e,n,i,o){i();const s=t(42),a=t(9),r=t(53);class l extends s.View{get plot_view(){return this.parent}get plot_model(){return this.parent.model}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>{this.model.active?this.activate():this.deactivate()}))}activate(){}deactivate(){}}n.ToolView=l,l.__name__=\"ToolView\";class _ extends r.Model{constructor(t){super(t)}static init_Tool(){this.prototype._known_aliases=new Map,this.define((({String:t,Nullable:e})=>({description:[e(t),null]}))),this.internal((({Boolean:t})=>({active:[t,!1]})))}get synthetic_renderers(){return[]}_get_dim_limits([t,e],[n,i],o,s){const r=o.bbox.h_range;let l;\"width\"==s||\"both\"==s?(l=[a.min([t,n]),a.max([t,n])],l=[a.max([l[0],r.start]),a.min([l[1],r.end])]):l=[r.start,r.end];const _=o.bbox.v_range;let c;return\"height\"==s||\"both\"==s?(c=[a.min([e,i]),a.max([e,i])],c=[a.max([c[0],_.start]),a.min([c[1],_.end])]):c=[_.start,_.end],[l,c]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}n.Tool=_,_.__name__=\"Tool\",_.init_Tool()},\n", " function _(e,o,t,s,n){s();const u=e(238),_=e(246);class l extends u.ButtonToolView{}t.GestureToolView=l,l.__name__=\"GestureToolView\";class i extends u.ButtonTool{constructor(e){super(e),this.button_view=_.OnOffButtonView}}t.GestureTool=i,i.__name__=\"GestureTool\"},\n", " function _(t,e,o,i,s){i();const n=t(1),l=n.__importDefault(t(239)),r=t(240),a=t(236),u=t(43),h=t(34),_=t(8),c=t(9),d=n.__importStar(t(241)),m=d,p=n.__importDefault(t(242)),g=n.__importDefault(t(243)),v=t(244);class f extends r.DOMView{initialize(){super.initialize();const t=this.model.menu;if(null!=t){const e=this.parent.model.toolbar_location,o=\"left\"==e||\"above\"==e,i=this.parent.model.horizontal?\"vertical\":\"horizontal\";this._menu=new v.ContextMenu(o?c.reversed(t):t,{orientation:i,prevent_hide:t=>t.target==this.el})}this._hammer=new l.default(this.el,{touchAction:\"auto\",inputClass:l.default.TouchMouseInput}),this.connect(this.model.change,(()=>this.render())),this._hammer.on(\"tap\",(t=>{var e;(null===(e=this._menu)||void 0===e?void 0:e.is_open)?this._menu.hide():t.target==this.el&&this._clicked()})),this._hammer.on(\"press\",(()=>this._pressed()))}remove(){var t;this._hammer.destroy(),null===(t=this._menu)||void 0===t||t.remove(),super.remove()}styles(){return[...super.styles(),d.default,p.default,g.default]}css_classes(){return super.css_classes().concat(m.toolbar_button)}render(){u.empty(this.el);const t=this.model.computed_icon;_.isString(t)&&(h.startsWith(t,\"data:image\")?this.el.style.backgroundImage=\"url('\"+t+\"')\":this.el.classList.add(t)),this.el.title=this.model.tooltip,null!=this._menu&&this.root.el.appendChild(this._menu.el)}_pressed(){var t;const{left:e,top:o,right:i,bottom:s}=this.el.getBoundingClientRect(),n=(()=>{switch(this.parent.model.toolbar_location){case\"right\":return{right:e,top:o};case\"left\":return{left:i,top:o};case\"above\":return{left:e,top:s};case\"below\":return{left:e,bottom:o}}})();null===(t=this._menu)||void 0===t||t.toggle(n)}}o.ButtonToolButtonView=f,f.__name__=\"ButtonToolButtonView\";class b extends a.ToolView{}o.ButtonToolView=b,b.__name__=\"ButtonToolView\";class B extends a.Tool{constructor(t){super(t)}static init_ButtonTool(){this.internal((({Boolean:t})=>({disabled:[t,!1]})))}_get_dim_tooltip(t){const{description:e,tool_name:o}=this;return null!=e?e:\"both\"==t?o:`${o} (${\"width\"==t?\"x\":\"y\"}-axis)`}get tooltip(){var t;return null!==(t=this.description)&&void 0!==t?t:this.tool_name}get computed_icon(){return this.icon}get menu(){return null}}o.ButtonTool=B,B.__name__=\"ButtonTool\",B.init_ButtonTool()},\n", " function _(t,e,i,n,r){\n", " /*! Hammer.JS - v2.0.7 - 2016-04-22\n", " * http://hammerjs.github.io/\n", " *\n", " * Copyright (c) 2016 Jorik Tangelder;\n", " * Licensed under the MIT license */\n", " !function(t,i,n,r){\"use strict\";var s,o=[\"\",\"webkit\",\"Moz\",\"MS\",\"ms\",\"o\"],a=i.createElement(\"div\"),h=Math.round,u=Math.abs,c=Date.now;function l(t,e,i){return setTimeout(T(t,i),e)}function p(t,e,i){return!!Array.isArray(t)&&(f(t,i[e],i),!0)}function f(t,e,i){var n;if(t)if(t.forEach)t.forEach(e,i);else if(t.length!==r)for(n=0;n\\s*\\(/gm,\"{anonymous}()@\"):\"Unknown Stack Trace\",s=t.console&&(t.console.warn||t.console.log);return s&&s.call(t.console,r,n),e.apply(this,arguments)}}s=\"function\"!=typeof Object.assign?function(t){if(t===r||null===t)throw new TypeError(\"Cannot convert undefined or null to object\");for(var e=Object(t),i=1;i-1}function S(t){return t.trim().split(/\\s+/g)}function b(t,e,i){if(t.indexOf&&!i)return t.indexOf(e);for(var n=0;ni[e]})):n.sort()),n}function x(t,e){for(var i,n,s=e[0].toUpperCase()+e.slice(1),a=0;a1&&!i.firstMultiple?i.firstMultiple=H(e):1===s&&(i.firstMultiple=!1);var o=i.firstInput,a=i.firstMultiple,h=a?a.center:o.center,l=e.center=L(n);e.timeStamp=c(),e.deltaTime=e.timeStamp-o.timeStamp,e.angle=G(h,l),e.distance=j(h,l),function(t,e){var i=e.center,n=t.offsetDelta||{},r=t.prevDelta||{},s=t.prevInput||{};1!==e.eventType&&4!==s.eventType||(r=t.prevDelta={x:s.deltaX||0,y:s.deltaY||0},n=t.offsetDelta={x:i.x,y:i.y});e.deltaX=r.x+(i.x-n.x),e.deltaY=r.y+(i.y-n.y)}(i,e),e.offsetDirection=V(e.deltaX,e.deltaY);var p=U(e.deltaTime,e.deltaX,e.deltaY);e.overallVelocityX=p.x,e.overallVelocityY=p.y,e.overallVelocity=u(p.x)>u(p.y)?p.x:p.y,e.scale=a?(f=a.pointers,v=n,j(v[0],v[1],W)/j(f[0],f[1],W)):1,e.rotation=a?function(t,e){return G(e[1],e[0],W)+G(t[1],t[0],W)}(a.pointers,n):0,e.maxPointers=i.prevInput?e.pointers.length>i.prevInput.maxPointers?e.pointers.length:i.prevInput.maxPointers:e.pointers.length,function(t,e){var i,n,s,o,a=t.lastInterval||e,h=e.timeStamp-a.timeStamp;if(8!=e.eventType&&(h>25||a.velocity===r)){var c=e.deltaX-a.deltaX,l=e.deltaY-a.deltaY,p=U(h,c,l);n=p.x,s=p.y,i=u(p.x)>u(p.y)?p.x:p.y,o=V(c,l),t.lastInterval=e}else i=a.velocity,n=a.velocityX,s=a.velocityY,o=a.direction;e.velocity=i,e.velocityX=n,e.velocityY=s,e.direction=o}(i,e);var f,v;var d=t.element;_(e.srcEvent.target,d)&&(d=e.srcEvent.target);e.target=d}(t,i),t.emit(\"hammer.input\",i),t.recognize(i),t.session.prevInput=i}function H(t){for(var e=[],i=0;i=u(e)?t<0?2:4:e<0?8:16}function j(t,e,i){i||(i=F);var n=e[i[0]]-t[i[0]],r=e[i[1]]-t[i[1]];return Math.sqrt(n*n+r*r)}function G(t,e,i){i||(i=F);var n=e[i[0]]-t[i[0]],r=e[i[1]]-t[i[1]];return 180*Math.atan2(r,n)/Math.PI}q.prototype={handler:function(){},init:function(){this.evEl&&I(this.element,this.evEl,this.domHandler),this.evTarget&&I(this.target,this.evTarget,this.domHandler),this.evWin&&I(O(this.element),this.evWin,this.domHandler)},destroy:function(){this.evEl&&A(this.element,this.evEl,this.domHandler),this.evTarget&&A(this.target,this.evTarget,this.domHandler),this.evWin&&A(O(this.element),this.evWin,this.domHandler)}};var Z={mousedown:1,mousemove:2,mouseup:4},B=\"mousedown\",$=\"mousemove mouseup\";function J(){this.evEl=B,this.evWin=$,this.pressed=!1,q.apply(this,arguments)}g(J,q,{handler:function(t){var e=Z[t.type];1&e&&0===t.button&&(this.pressed=!0),2&e&&1!==t.which&&(e=4),this.pressed&&(4&e&&(this.pressed=!1),this.callback(this.manager,e,{pointers:[t],changedPointers:[t],pointerType:X,srcEvent:t}))}});var K={pointerdown:1,pointermove:2,pointerup:4,pointercancel:8,pointerout:8},Q={2:N,3:\"pen\",4:X,5:\"kinect\"},tt=\"pointerdown\",et=\"pointermove pointerup pointercancel\";function it(){this.evEl=tt,this.evWin=et,q.apply(this,arguments),this.store=this.manager.session.pointerEvents=[]}t.MSPointerEvent&&!t.PointerEvent&&(tt=\"MSPointerDown\",et=\"MSPointerMove MSPointerUp MSPointerCancel\"),g(it,q,{handler:function(t){var e=this.store,i=!1,n=t.type.toLowerCase().replace(\"ms\",\"\"),r=K[n],s=Q[t.pointerType]||t.pointerType,o=s==N,a=b(e,t.pointerId,\"pointerId\");1&r&&(0===t.button||o)?a<0&&(e.push(t),a=e.length-1):12&r&&(i=!0),a<0||(e[a]=t,this.callback(this.manager,r,{pointers:e,changedPointers:[t],pointerType:s,srcEvent:t}),i&&e.splice(a,1))}});var nt={touchstart:1,touchmove:2,touchend:4,touchcancel:8},rt=\"touchstart\",st=\"touchstart touchmove touchend touchcancel\";function ot(){this.evTarget=rt,this.evWin=st,this.started=!1,q.apply(this,arguments)}function at(t,e){var i=P(t.touches),n=P(t.changedTouches);return 12&e&&(i=D(i.concat(n),\"identifier\",!0)),[i,n]}g(ot,q,{handler:function(t){var e=nt[t.type];if(1===e&&(this.started=!0),this.started){var i=at.call(this,t,e);12&e&&i[0].length-i[1].length==0&&(this.started=!1),this.callback(this.manager,e,{pointers:i[0],changedPointers:i[1],pointerType:N,srcEvent:t})}}});var ht={touchstart:1,touchmove:2,touchend:4,touchcancel:8},ut=\"touchstart touchmove touchend touchcancel\";function ct(){this.evTarget=ut,this.targetIds={},q.apply(this,arguments)}function lt(t,e){var i=P(t.touches),n=this.targetIds;if(3&e&&1===i.length)return n[i[0].identifier]=!0,[i,i];var r,s,o=P(t.changedTouches),a=[],h=this.target;if(s=i.filter((function(t){return _(t.target,h)})),1===e)for(r=0;r-1&&n.splice(t,1)}),2500)}}function dt(t){for(var e=t.srcEvent.clientX,i=t.srcEvent.clientY,n=0;n-1&&this.requireFail.splice(e,1),this},hasRequireFailures:function(){return this.requireFail.length>0},canRecognizeWith:function(t){return!!this.simultaneous[t.id]},emit:function(t){var e=this,i=this.state;function n(i){e.manager.emit(i,t)}i<8&&n(e.options.event+Dt(i)),n(e.options.event),t.additionalEvent&&n(t.additionalEvent),i>=8&&n(e.options.event+Dt(i))},tryEmit:function(t){if(this.canEmit())return this.emit(t);this.state=bt},canEmit:function(){for(var t=0;te.threshold&&r&e.direction},attrTest:function(t){return Ot.prototype.attrTest.call(this,t)&&(2&this.state||!(2&this.state)&&this.directionTest(t))},emit:function(t){this.pX=t.deltaX,this.pY=t.deltaY;var e=xt(t.direction);e&&(t.additionalEvent=this.options.event+e),this._super.emit.call(this,t)}}),g(Mt,Ot,{defaults:{event:\"pinch\",threshold:0,pointers:2},getTouchAction:function(){return[It]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.scale-1)>this.options.threshold||2&this.state)},emit:function(t){if(1!==t.scale){var e=t.scale<1?\"in\":\"out\";t.additionalEvent=this.options.event+e}this._super.emit.call(this,t)}}),g(zt,Pt,{defaults:{event:\"press\",pointers:1,time:251,threshold:9},getTouchAction:function(){return[yt]},process:function(t){var e=this.options,i=t.pointers.length===e.pointers,n=t.distancee.time;if(this._input=t,!n||!i||12&t.eventType&&!r)this.reset();else if(1&t.eventType)this.reset(),this._timer=l((function(){this.state=8,this.tryEmit()}),e.time,this);else if(4&t.eventType)return 8;return bt},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Nt,Ot,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[It]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(Xt,Ot,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return Rt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,i=this.options.direction;return 30&i?e=t.overallVelocity:6&i?e=t.overallVelocityX:i&Y&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&i&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&u(e)>this.options.velocity&&4&t.eventType},emit:function(t){var e=xt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(Yt,Pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[Et]},process:function(t){var e=this.options,i=t.pointers.length===e.pointers,n=t.distance .bk-divider{cursor:default;overflow:hidden;background-color:#e5e5e5;}.bk-root .bk-context-menu.bk-horizontal > .bk-divider{width:1px;margin:5px 0;}.bk-root .bk-context-menu.bk-vertical > .bk-divider{height:1px;margin:0 5px;}.bk-root .bk-context-menu > :not(.bk-divider){border:1px solid transparent;}.bk-root .bk-context-menu > :not(.bk-divider).bk-active{border-color:#26aae1;}.bk-root .bk-context-menu > :not(.bk-divider):hover{background-color:#f9f9f9;}.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child{border-top-left-radius:4px;border-bottom-left-radius:4px;}.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child{border-top-right-radius:4px;border-bottom-right-radius:4px;}.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child{border-top-left-radius:4px;border-top-right-radius:4px;}.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child{border-bottom-left-radius:4px;border-bottom-right-radius:4px;}.bk-root .bk-menu{position:absolute;left:0;width:100%;z-index:100;cursor:pointer;font-size:12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;box-shadow:0 6px 12px rgba(0, 0, 0, 0.175);}.bk-root .bk-menu.bk-above{bottom:100%;}.bk-root .bk-menu.bk-below{top:100%;}.bk-root .bk-menu > .bk-divider{height:1px;margin:7.5px 0;overflow:hidden;background-color:#e5e5e5;}.bk-root .bk-menu > :not(.bk-divider){padding:6px 12px;}.bk-root .bk-menu > :not(.bk-divider):hover,.bk-root .bk-menu > :not(.bk-divider).bk-active{background-color:#e6e6e6;}.bk-root .bk-caret{display:inline-block;vertical-align:middle;width:0;height:0;margin:0 5px;}.bk-root .bk-caret.bk-down{border-top:4px solid;}.bk-root .bk-caret.bk-up{border-bottom:4px solid;}.bk-root .bk-caret.bk-down,.bk-root .bk-caret.bk-up{border-right:4px solid transparent;border-left:4px solid transparent;}.bk-root .bk-caret.bk-left{border-right:4px solid;}.bk-root .bk-caret.bk-right{border-left:4px solid;}.bk-root .bk-caret.bk-left,.bk-root .bk-caret.bk-right{border-top:4px solid transparent;border-bottom:4px solid transparent;}\"},\n", " function _(t,e,i,n,s){n();const o=t(1),l=t(43),h=t(245),d=o.__importStar(t(243));class r{constructor(t,e={}){this.items=t,this.options=e,this.el=l.div(),this._open=!1,this._item_click=t=>{var e;null===(e=this.items[t])||void 0===e||e.handler(),this.hide()},this._on_mousedown=t=>{var e,i;const{target:n}=t;n instanceof Node&&this.el.contains(n)||(null===(i=(e=this.options).prevent_hide)||void 0===i?void 0:i.call(e,t))||this.hide()},this._on_keydown=t=>{t.keyCode==l.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},l.undisplay(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){l.remove(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=e.getBoundingClientRect();this.el.style.left=null!=t.left?t.left-i.left+\"px\":\"\",this.el.style.top=null!=t.top?t.top-i.top+\"px\":\"\",this.el.style.right=null!=t.right?i.right-t.right+\"px\":\"\",this.el.style.bottom=null!=t.bottom?i.bottom-t.bottom+\"px\":\"\"}}render(){var t,e;l.empty(this.el,!0);const i=null!==(t=this.options.orientation)&&void 0!==t?t:\"vertical\";l.classes(this.el).add(\"bk-context-menu\",`bk-${i}`);for(const[t,i]of h.enumerate(this.items)){let n;if(null==t)n=l.div({class:d.divider});else{if(null!=t.if&&!t.if())continue;{const i=null!=t.icon?l.div({class:[\"bk-menu-icon\",t.icon]}):null;n=l.div({class:(null===(e=t.active)||void 0===e?void 0:e.call(t))?\"bk-active\":null,title:t.tooltip},i,t.label)}}n.addEventListener(\"click\",(()=>this._item_click(i))),this.el.appendChild(n)}}show(t){if(0!=this.items.length&&!this._open){if(this.render(),0==this.el.children.length)return;this._position(null!=t?t:{left:0,top:0}),l.display(this.el),this._listen(),this._open=!0}}hide(){this._open&&(this._open=!1,this._unlisten(),l.undisplay(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=r,r.__name__=\"ContextMenu\"},\n", " function _(n,e,o,t,r){t();const f=n(9);function*i(n,e){const o=n.length;if(e>o)return;const t=f.range(e);for(yield t.map((e=>n[e]));;){let r;for(const n of f.reversed(f.range(e)))if(t[n]!=n+o-e){r=n;break}if(null==r)return;t[r]+=1;for(const n of f.range(r+1,e))t[n]=t[n-1]+1;yield t.map((e=>n[e]))}}o.enumerate=function*(n){let e=0;for(const o of n)yield[o,e++]},o.combinations=i,o.subsets=function*(n){for(const e of f.range(n.length+1))yield*i(n,e)}},\n", " function _(t,e,i,n,o){n();const s=t(1),c=t(238),l=s.__importStar(t(241)),a=t(43);class _ extends c.ButtonToolButtonView{render(){super.render(),a.classes(this.el).toggle(l.active,this.model.active)}_clicked(){const{active:t}=this.model;this.model.active=!t}}i.OnOffButtonView=_,_.__name__=\"OnOffButtonView\"},\n", " function _(t,e,o,n,s){n();const i=t(238),c=t(246);class l extends i.ButtonToolView{}o.InspectToolView=l,l.__name__=\"InspectToolView\";class _ extends i.ButtonTool{constructor(t){super(t),this.event_type=\"move\"}static init_InspectTool(){this.prototype.button_view=c.OnOffButtonView,this.define((({Boolean:t})=>({toggleable:[t,!0]}))),this.override({active:!0})}}o.InspectTool=_,_.__name__=\"InspectTool\",_.init_InspectTool()},\n", " function _(t,o,e,i,s){i();const l=t(1),n=t(19),a=t(43),r=t(122),c=t(240),_=t(20),u=t(9),h=t(13),v=t(8),p=t(249),d=t(99),b=t(53),g=t(236),f=t(237),m=t(251),w=t(252),y=t(247),T=l.__importStar(t(241)),z=T,B=l.__importStar(t(253)),x=B;class L extends b.Model{constructor(t){super(t)}static init_ToolbarViewModel(){this.define((({Boolean:t,Nullable:o})=>({_visible:[o(t),null],autohide:[t,!1]})))}get visible(){return!this.autohide||null!=this._visible&&this._visible}}e.ToolbarViewModel=L,L.__name__=\"ToolbarViewModel\",L.init_ToolbarViewModel();class M extends c.DOMView{constructor(){super(...arguments),this.layout={bbox:new d.BBox}}initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new L({autohide:this.model.autohide})}async lazy_initialize(){await super.lazy_initialize(),await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,(async()=>{await this._build_tool_button_views(),this.render()})),this.connect(this.model.properties.autohide.change,(()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()})),this.connect(this._toolbar_view_model.properties._visible.change,(()=>this._on_visible_change()))}styles(){return[...super.styles(),T.default,B.default]}remove(){r.remove_views(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await r.build_views(this._tool_button_views,t,{parent:this},(t=>t.button_view))}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const t=this._toolbar_view_model.visible,o=z.toolbar_hidden;this.el.classList.contains(o)&&t?this.el.classList.remove(o):t||this.el.classList.add(o)}render(){if(a.empty(this.el),this.el.classList.add(z.toolbar),this.el.classList.add(z[this.model.toolbar_location]),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change(),null!=this.model.logo){const t=\"grey\"===this.model.logo?x.grey:null,o=a.a({href:\"https://bokeh.org/\",target:\"_blank\",class:[x.logo,x.logo_small,t]});this.el.appendChild(o)}for(const[,t]of this._tool_button_views)t.render();const t=[],o=t=>this._tool_button_views.get(t).el,{gestures:e}=this.model;for(const i of h.values(e))t.push(i.tools.map(o));t.push(this.model.actions.map(o)),t.push(this.model.inspectors.filter((t=>t.toggleable)).map(o));for(const o of t)if(0!==o.length){const t=a.div({class:z.button_bar},o);this.el.appendChild(t)}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}export(t,o=!0){const e=\"png\"==t?\"canvas\":\"svg\",i=new p.CanvasLayer(e,o);return i.resize(0,0),i}}function V(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=M,M.__name__=\"ToolbarBaseView\";class S extends b.Model{constructor(t){super(t)}static init_ToolbarBase(){this.prototype.default_view=M,this.define((({Boolean:t,Array:o,Ref:e,Nullable:i})=>({tools:[o(e(g.Tool)),[]],logo:[i(_.Logo),\"normal\"],autohide:[t,!1]}))),this.internal((({Array:t,Struct:o,Ref:e,Nullable:i})=>{const s=o({tools:t(e(f.GestureTool)),active:i(e(g.Tool))});return{gestures:[o({pan:s,scroll:s,pinch:s,tap:s,doubletap:s,press:s,pressup:s,rotate:s,move:s,multi:s}),V],actions:[t(e(m.ActionTool)),[]],inspectors:[t(e(y.InspectTool)),[]],help:[t(e(w.HelpTool)),[]],toolbar_location:[_.Location,\"right\"]}}))}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new Set(o.map((t=>t.id)));return u.some(t,(t=>!e.has(t.id)))},o=this.tools.filter((t=>t instanceof y.InspectTool));t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter((t=>t instanceof w.HelpTool));t(this.help,e)&&(this.help=e);const i=this.tools.filter((t=>t instanceof m.ActionTool));t(this.actions,i)&&(this.actions=i);const s=(t,o)=>{t in this.gestures||n.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},l={pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}};for(const t of this.tools)if(t instanceof f.GestureTool&&t.event_type)if(v.isString(t.event_type))l[t.event_type].tools.push(t),s(t.event_type,t);else{l.multi.tools.push(t);for(const o of t.event_type)s(o,t)}for(const o of Object.keys(l)){const e=this.gestures[o];t(e.tools,l[o].tools)&&(e.tools=l[o].tools),e.active&&u.every(e.tools,(t=>t.id!=e.active.id))&&(e.active=null)}}get horizontal(){return\"above\"===this.toolbar_location||\"below\"===this.toolbar_location}get vertical(){return\"left\"===this.toolbar_location||\"right\"===this.toolbar_location}_active_change(t){const{event_type:o}=t;if(null==o)return;const e=v.isString(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(n.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,n.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=S,S.__name__=\"ToolbarBase\",S.init_ToolbarBase()},\n", " function _(e,t,i,n,s){n();const o=e(250),a=e(99),r=e(43);function h(e){!function(e){void 0===e.lineDash&&Object.defineProperty(e,\"lineDash\",{get:()=>e.getLineDash(),set:t=>e.setLineDash(t)})}(e),function(e){e.setImageSmoothingEnabled=t=>{e.imageSmoothingEnabled=t,e.mozImageSmoothingEnabled=t,e.oImageSmoothingEnabled=t,e.webkitImageSmoothingEnabled=t,e.msImageSmoothingEnabled=t},e.getImageSmoothingEnabled=()=>{const t=e.imageSmoothingEnabled;return null==t||t}}(e),function(e){e.ellipse||(e.ellipse=function(t,i,n,s,o,a,r,h=!1){const l=.551784;e.translate(t,i),e.rotate(o);let c=n,g=s;h&&(c=-n,g=-s),e.moveTo(-c,0),e.bezierCurveTo(-c,g*l,-c*l,g,0,g),e.bezierCurveTo(c*l,g,c,g*l,c,0),e.bezierCurveTo(c,-g*l,c*l,-g,0,-g),e.bezierCurveTo(-c*l,-g,-c,-g*l,-c,0),e.rotate(-o),e.translate(-t,-i)})}(e)}const l={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class c{constructor(e,t){switch(this.backend=e,this.hidpi=t,this.pixel_ratio=1,this.bbox=new a.BBox,e){case\"webgl\":case\"canvas\":{this._el=this._canvas=r.canvas({style:l});const e=this.canvas.getContext(\"2d\");if(null==e)throw new Error(\"unable to obtain 2D rendering context\");this._ctx=e,t&&(this.pixel_ratio=devicePixelRatio);break}case\"svg\":{const e=new o.SVGRenderingContext2D;this._ctx=e,this._canvas=e.get_svg(),this._el=r.div({style:l},this._canvas);break}}h(this._ctx)}get canvas(){return this._canvas}get ctx(){return this._ctx}get el(){return this._el}resize(e,t){this.bbox=new a.BBox({left:0,top:0,width:e,height:t});const i=this._ctx instanceof o.SVGRenderingContext2D?this._ctx:this.canvas;i.width=e*this.pixel_ratio,i.height=t*this.pixel_ratio}prepare(){const{ctx:e,hidpi:t,pixel_ratio:i}=this;e.save(),t&&(e.scale(i,i),e.translate(.5,.5)),this.clear()}clear(){const{x:e,y:t,width:i,height:n}=this.bbox;this.ctx.clearRect(e,t,i,n)}finish(){this.ctx.restore()}to_blob(){const{_canvas:e}=this;if(e instanceof HTMLCanvasElement)return null!=e.msToBlob?Promise.resolve(e.msToBlob()):new Promise(((t,i)=>{e.toBlob((e=>null!=e?t(e):i()),\"image/png\")}));{const e=this._ctx.get_serialized_svg(!0),t=new Blob([e],{type:\"image/svg+xml\"});return Promise.resolve(t)}}}i.CanvasLayer=c,c.__name__=\"CanvasLayer\"},\n", " function _(t,e,i,s,n){s();const r=t(168),a=t(8),o=t(43);function l(t){if(!t)throw new Error(\"cannot create a random attribute name for an undefined object\");const e=\"ABCDEFGHIJKLMNOPQRSTUVWXTZabcdefghiklmnopqrstuvwxyz\";let i=\"\";do{i=\"\";for(let t=0;t<12;t++)i+=e[Math.floor(Math.random()*e.length)]}while(t[i]);return 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t=this.__currentElement.cloneNode(!0);this.__root.appendChild(t),this.__currentElement=t}this.__applyCurrentDefaultPath(),this.__applyStyleToCurrentElement(\"fill\"),null!=t&&this.__currentElement.setAttribute(\"fill-rule\",t),null!=this._clip_path&&this.__currentElement.setAttribute(\"clip-path\",this._clip_path)}rect(t,e,i,s){isFinite(t+e+i+s)&&(\"path\"!==this.__currentElement.nodeName&&this.beginPath(),this.moveTo(t,e),this.lineTo(t+i,e),this.lineTo(t+i,e+s),this.lineTo(t,e+s),this.lineTo(t,e))}fillRect(t,e,i,s){isFinite(t+e+i+s)&&(this.beginPath(),this.rect(t,e,i,s),this.fill())}strokeRect(t,e,i,s){isFinite(t+e+i+s)&&(this.beginPath(),this.rect(t,e,i,s),this.stroke())}__clearCanvas(){o.empty(this.__defs),o.empty(this.__root),this.__root.appendChild(this.__defs),this.__currentElement=this.__root}clearRect(t,e,i,s){if(!isFinite(t+e+i+s))return;if(0===t&&0===e&&i===this.width&&s===this.height)return void this.__clearCanvas();const n=this.__createElement(\"rect\",{x:t,y:e,width:i,height:s,fill:\"#FFFFFF\"},!0);this._apply_transform(n),this.__root.appendChild(n)}createLinearGradient(t,e,i,s){if(!isFinite(t+e+i+s))throw new Error(\"The provided double value is non-finite\");const[n,r]=this._transform.apply(t,e),[a,o]=this._transform.apply(i,s),h=this.__createElement(\"linearGradient\",{id:l(this.__ids),x1:`${n}px`,x2:`${a}px`,y1:`${r}px`,y2:`${o}px`,gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(h),new p(h,this)}createRadialGradient(t,e,i,s,n,r){if(!isFinite(t+e+i+s+n+r))throw new Error(\"The provided double value is non-finite\");const[a,o]=this._transform.apply(t,e),[h,c]=this._transform.apply(s,n),_=this.__createElement(\"radialGradient\",{id:l(this.__ids),cx:`${h}px`,cy:`${c}px`,r:`${r}px`,fx:`${a}px`,fy:`${o}px`,gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(_),new p(_,this)}__parseFont(){var t,e,i,s,n;const 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n=this.__parseFont(),r=this.__createElement(\"text\",{\"font-family\":n.family,\"font-size\":n.size,\"font-style\":n.style,\"font-weight\":n.weight,\"text-decoration\":n.decoration,x:e,y:i,\"text-anchor\":h(this.textAlign),\"dominant-baseline\":c(this.textBaseline)},!0);r.appendChild(this.__document.createTextNode(t)),this._apply_transform(r),this.__currentElement=r,this.__applyStyleToCurrentElement(s),this.__root.appendChild(this.__wrapTextLink(n,r))}fillText(t,e,i){null!=t&&isFinite(e+i)&&this.__applyText(t,e,i,\"fill\")}strokeText(t,e,i){null!=t&&isFinite(e+i)&&this.__applyText(t,e,i,\"stroke\")}measureText(t){return this.__ctx.font=this.font,this.__ctx.measureText(t)}arc(t,e,i,s,n,r=!1){if(!isFinite(t+e+i+s+n))return;if(s===n)return;(s%=2*Math.PI)===(n%=2*Math.PI)&&(n=(n+2*Math.PI-.001*(r?-1:1))%(2*Math.PI));const a=t+i*Math.cos(n),o=e+i*Math.sin(n),l=t+i*Math.cos(s),h=e+i*Math.sin(s),c=r?0:1;let _=0,u=n-s;u<0&&(u+=2*Math.PI),_=r?u>Math.PI?0:1:u>Math.PI?1:0,this.lineTo(l,h);const 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i=this.__document.createElement(\"canvas\");i.width=n,i.height=r;const s=i.getContext(\"2d\");s.imageSmoothingEnabled=!1,s.drawImage(t,a,o,l,h,0,0,n,r),t=i,this._apply_transform(e,_),e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.toDataURL()),c.appendChild(e)}}createPattern(t,e){const i=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"pattern\"),s=l(this.__ids);if(i.setAttribute(\"id\",s),i.setAttribute(\"width\",`${this._to_number(t.width)}`),i.setAttribute(\"height\",`${this._to_number(t.height)}`),i.setAttribute(\"patternUnits\",\"userSpaceOnUse\"),t instanceof HTMLCanvasElement||t instanceof HTMLImageElement||t instanceof SVGImageElement){const e=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"image\"),s=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",s),i.appendChild(e),this.__defs.appendChild(i)}else if(t instanceof m){for(const e of[...t.__root.childNodes])e instanceof SVGDefsElement||i.appendChild(e);this.__defs.appendChild(i)}else{if(!(t instanceof SVGSVGElement))throw new Error(\"unsupported\");for(const e of[...t.childNodes])e instanceof SVGDefsElement||i.appendChild(e);this.__defs.appendChild(i)}return new d(i,this)}setLineDash(t){t&&t.length>0?this.lineDash=t.join(\",\"):this.lineDash=null}_to_number(t){return a.isNumber(t)?t:t.baseVal.value}}i.SVGRenderingContext2D=m,m.__name__=\"SVGRenderingContext2D\"},\n", " function _(o,t,n,i,e){i();const s=o(238),c=o(15);class l extends s.ButtonToolButtonView{_clicked(){this.model.do.emit(void 0)}}n.ActionToolButtonView=l,l.__name__=\"ActionToolButtonView\";class _ extends s.ButtonToolView{connect_signals(){super.connect_signals(),this.connect(this.model.do,(o=>this.doit(o)))}}n.ActionToolView=_,_.__name__=\"ActionToolView\";class d extends s.ButtonTool{constructor(o){super(o),this.button_view=l,this.do=new c.Signal(this,\"do\")}}n.ActionTool=d,d.__name__=\"ActionTool\"},\n", " function _(o,e,t,i,l){i();const s=o(251),n=o(242);class r extends s.ActionToolView{doit(){window.open(this.model.redirect)}}t.HelpToolView=r,r.__name__=\"HelpToolView\";class c extends s.ActionTool{constructor(o){super(o),this.tool_name=\"Help\",this.icon=n.tool_icon_help}static init_HelpTool(){this.prototype.default_view=r,this.define((({String:o})=>({redirect:[o,\"https://docs.bokeh.org/en/latest/docs/user_guide/tools.html\"]}))),this.override({description:\"Click the question mark to learn more about Bokeh plot tools.\"}),this.register_alias(\"help\",(()=>new c))}}t.HelpTool=c,c.__name__=\"HelpTool\",c.init_HelpTool()},\n", " function _(o,l,g,A,r){A(),g.root=\"bk-root\",g.logo=\"bk-logo\",g.grey=\"bk-grey\",g.logo_small=\"bk-logo-small\",g.logo_notebook=\"bk-logo-notebook\",g.default=\".bk-root .bk-logo{margin:5px;position:relative;display:block;background-repeat:no-repeat;}.bk-root .bk-logo.bk-grey{filter:url(\\\"data:image/svg+xml;utf8,#grayscale\\\");filter:gray;-webkit-filter:grayscale(100%);}.bk-root .bk-logo-small{width:20px;height:20px;background-image:url(data:image/png;base64,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);}.bk-root .bk-logo-notebook{display:inline-block;vertical-align:middle;margin-right:5px;}\"},\n", " function _(t,e,i,s,l){s();const o=t(1),n=t(40),h=t(20),a=t(43),r=o.__importStar(t(255)),c=r;class d extends n.AnnotationView{initialize(){super.initialize(),this.el=a.div({class:c.tooltip}),a.undisplay(this.el),this.plot_view.canvas_view.add_overlay(this.el)}remove(){a.remove(this.el),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.content.change,(()=>this.render())),this.connect(this.model.properties.position.change,(()=>this._reposition()))}styles(){return[...super.styles(),r.default]}render(){this.model.visible||a.undisplay(this.el),super.render()}_render(){const{content:t}=this.model;null!=t?(a.empty(this.el),a.classes(this.el).toggle(\"bk-tooltip-custom\",this.model.custom),this.el.appendChild(t),this.model.show_arrow&&this.el.classList.add(c.tooltip_arrow)):a.undisplay(this.el)}_reposition(){const{position:t}=this.model;if(null==t)return void a.undisplay(this.el);const[e,i]=t,s=(()=>{const t=this.parent.layout.bbox.relative(),{attachment:s}=this.model;switch(s){case\"horizontal\":return e({attachment:[h.TooltipAttachment,\"horizontal\"],inner_only:[t,!0],show_arrow:[t,!0]}))),this.internal((({Boolean:t,Number:e,Tuple:i,Ref:s,Nullable:l})=>({position:[l(i(e,e)),null],content:[s(HTMLElement),()=>a.div()],custom:[t]}))),this.override({level:\"overlay\"})}clear(){this.position=null}}i.Tooltip=p,p.__name__=\"Tooltip\",p.init_Tooltip()},\n", " function _(o,t,r,e,l){e(),r.root=\"bk-root\",r.tooltip=\"bk-tooltip\",r.left=\"bk-left\",r.tooltip_arrow=\"bk-tooltip-arrow\",r.right=\"bk-right\",r.above=\"bk-above\",r.below=\"bk-below\",r.tooltip_row_label=\"bk-tooltip-row-label\",r.tooltip_row_value=\"bk-tooltip-row-value\",r.tooltip_color_block=\"bk-tooltip-color-block\",r.default='.bk-root{}.bk-root .bk-tooltip{font-weight:300;font-size:12px;position:absolute;padding:5px;border:1px solid #e5e5e5;color:#2f2f2f;background-color:white;pointer-events:none;opacity:0.95;z-index:100;}.bk-root .bk-tooltip > div:not(:first-child){margin-top:5px;border-top:#e5e5e5 1px dashed;}.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before{position:absolute;margin:-7px 0 0 0;top:50%;width:0;height:0;border-style:solid;border-width:7px 0 7px 0;border-color:transparent;content:\" \";display:block;left:-10px;border-right-width:10px;border-right-color:#909599;}.bk-root .bk-tooltip.bk-left::before{left:-10px;border-right-width:10px;border-right-color:#909599;}.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after{position:absolute;margin:-7px 0 0 0;top:50%;width:0;height:0;border-style:solid;border-width:7px 0 7px 0;border-color:transparent;content:\" \";display:block;right:-10px;border-left-width:10px;border-left-color:#909599;}.bk-root .bk-tooltip.bk-right::after{right:-10px;border-left-width:10px;border-left-color:#909599;}.bk-root .bk-tooltip.bk-above::before{position:absolute;margin:0 0 0 -7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:\" \";display:block;top:-10px;border-bottom-width:10px;border-bottom-color:#909599;}.bk-root .bk-tooltip.bk-below::after{position:absolute;margin:0 0 0 -7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:\" \";display:block;bottom:-10px;border-top-width:10px;border-top-color:#909599;}.bk-root .bk-tooltip-row-label{text-align:right;color:#26aae1;}.bk-root .bk-tooltip-row-value{color:default;}.bk-root .bk-tooltip-color-block{width:12px;height:12px;margin-left:5px;margin-right:5px;outline:#dddddd solid 1px;display:inline-block;}'},\n", " function _(e,t,i,s,r){s();const a=e(135),h=e(133),_=e(122),l=e(48);class o extends a.UpperLowerView{async lazy_initialize(){await super.lazy_initialize();const{lower_head:e,upper_head:t}=this.model;null!=e&&(this.lower_head=await _.build_view(e,{parent:this})),null!=t&&(this.upper_head=await _.build_view(t,{parent:this}))}set_data(e){var t,i;super.set_data(e),null===(t=this.lower_head)||void 0===t||t.set_data(e),null===(i=this.upper_head)||void 0===i||i.set_data(e)}paint(e){if(this.visuals.line.doit)for(let t=0,i=this._lower_sx.length;t({lower_head:[t(e(h.ArrowHead)),()=>new h.TeeHead({size:10})],upper_head:[t(e(h.ArrowHead)),()=>new h.TeeHead({size:10})]}))),this.override({level:\"underlay\"})}}i.Whisker=n,n.__name__=\"Whisker\",n.init_Whisker()},\n", " function _(n,o,t,u,e){u(),e(\"CustomJS\",n(258).CustomJS),e(\"OpenURL\",n(260).OpenURL)},\n", " function _(t,s,e,n,c){n();const u=t(259),i=t(13),a=t(34);class r extends u.Callback{constructor(t){super(t)}static init_CustomJS(){this.define((({Unknown:t,String:s,Dict:e})=>({args:[e(t),{}],code:[s,\"\"]})))}get names(){return i.keys(this.args)}get values(){return i.values(this.args)}get func(){const t=a.use_strict(this.code);return new Function(...this.names,\"cb_obj\",\"cb_data\",t)}execute(t,s={}){return this.func.apply(t,this.values.concat(t,s))}}e.CustomJS=r,r.__name__=\"CustomJS\",r.init_CustomJS()},\n", " function _(c,a,l,n,s){n();const e=c(53);class o extends e.Model{constructor(c){super(c)}}l.Callback=o,o.__name__=\"Callback\"},\n", " function _(e,t,n,i,o){i();const s=e(259),c=e(182),r=e(8);class a extends s.Callback{constructor(e){super(e)}static init_OpenURL(){this.define((({Boolean:e,String:t})=>({url:[t,\"http://\"],same_tab:[e,!1]})))}navigate(e){this.same_tab?window.location.href=e:window.open(e)}execute(e,{source:t}){const n=e=>{const n=c.replace_placeholders(this.url,t,e,void 0,void 0,encodeURI);if(!r.isString(n))throw new Error(\"HTML output is not supported in this context\");this.navigate(n)},{selected:i}=t;for(const e of i.indices)n(e);for(const e of i.line_indices)n(e)}}n.OpenURL=a,a.__name__=\"OpenURL\",a.init_OpenURL()},\n", " function _(a,n,e,r,s){r(),s(\"Canvas\",a(262).Canvas),s(\"CartesianFrame\",a(144).CartesianFrame)},\n", " function _(e,t,s,i,a){i();const l=e(14),n=e(240),r=e(19),o=e(43),h=e(20),_=e(13),c=e(263),d=e(99),p=e(249),v=(()=>{const e=document.createElement(\"canvas\"),t=e.getContext(\"webgl\",{premultipliedAlpha:!0});return null!=t?{canvas:e,gl:t}:void r.logger.trace(\"WebGL is not supported\")})(),u={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class b extends n.DOMView{constructor(){super(...arguments),this.bbox=new d.BBox}initialize(){super.initialize(),\"webgl\"==this.model.output_backend&&(this.webgl=v),this.underlays_el=o.div({style:u}),this.primary=this.create_layer(),this.overlays=this.create_layer(),this.overlays_el=o.div({style:u}),this.events_el=o.div({class:\"bk-canvas-events\",style:u});const e=[this.underlays_el,this.primary.el,this.overlays.el,this.overlays_el,this.events_el];_.extend(this.el.style,u),o.append(this.el,...e),this.ui_event_bus=new c.UIEventBus(this)}remove(){this.ui_event_bus.destroy(),super.remove()}add_underlay(e){this.underlays_el.appendChild(e)}add_overlay(e){this.overlays_el.appendChild(e)}add_event(e){this.events_el.appendChild(e)}get pixel_ratio(){return this.primary.pixel_ratio}resize(e,t){this.bbox=new d.BBox({left:0,top:0,width:e,height:t}),this.primary.resize(e,t),this.overlays.resize(e,t)}prepare_webgl(e){const{webgl:t}=this;if(null!=t){const{width:s,height:i}=this.bbox;t.canvas.width=this.pixel_ratio*s,t.canvas.height=this.pixel_ratio*i;const{gl:a}=t;a.enable(a.SCISSOR_TEST);const[l,n,r,o]=e,{xview:h,yview:_}=this.bbox,c=h.compute(l),d=_.compute(n+o),p=this.pixel_ratio;a.scissor(p*c,p*d,p*r,p*o),a.enable(a.BLEND),a.blendFuncSeparate(a.SRC_ALPHA,a.ONE_MINUS_SRC_ALPHA,a.ONE_MINUS_DST_ALPHA,a.ONE),this._clear_webgl()}}blit_webgl(e){const{webgl:t}=this;if(null!=t){if(r.logger.debug(\"Blitting WebGL canvas\"),e.restore(),e.drawImage(t.canvas,0,0),e.save(),this.model.hidpi){const t=this.pixel_ratio;e.scale(t,t),e.translate(.5,.5)}this._clear_webgl()}}_clear_webgl(){const{webgl:e}=this;if(null!=e){const{gl:t,canvas:s}=e;t.viewport(0,0,s.width,s.height),t.clearColor(0,0,0,0),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}}compose(){const e=this.create_layer(),{width:t,height:s}=this.bbox;return e.resize(t,s),e.ctx.drawImage(this.primary.canvas,0,0),e.ctx.drawImage(this.overlays.canvas,0,0),e}create_layer(){const{output_backend:e,hidpi:t}=this.model;return new p.CanvasLayer(e,t)}to_blob(){return this.compose().to_blob()}}s.CanvasView=b,b.__name__=\"CanvasView\";class g extends l.HasProps{constructor(e){super(e)}static init_Canvas(){this.prototype.default_view=b,this.internal((({Boolean:e})=>({hidpi:[e,!0],output_backend:[h.OutputBackend,\"canvas\"]})))}}s.Canvas=g,g.__name__=\"Canvas\",g.init_Canvas()},\n", " function _(t,e,s,n,i){n();const r=t(1),a=r.__importDefault(t(239)),_=t(15),h=t(19),o=t(43),l=r.__importStar(t(264)),c=t(265),p=t(9),u=t(8),v=t(27),d=t(244);class g{constructor(t){this.canvas_view=t,this.pan_start=new _.Signal(this,\"pan:start\"),this.pan=new _.Signal(this,\"pan\"),this.pan_end=new _.Signal(this,\"pan:end\"),this.pinch_start=new _.Signal(this,\"pinch:start\"),this.pinch=new _.Signal(this,\"pinch\"),this.pinch_end=new _.Signal(this,\"pinch:end\"),this.rotate_start=new _.Signal(this,\"rotate:start\"),this.rotate=new _.Signal(this,\"rotate\"),this.rotate_end=new _.Signal(this,\"rotate:end\"),this.tap=new _.Signal(this,\"tap\"),this.doubletap=new _.Signal(this,\"doubletap\"),this.press=new _.Signal(this,\"press\"),this.pressup=new _.Signal(this,\"pressup\"),this.move_enter=new _.Signal(this,\"move:enter\"),this.move=new _.Signal(this,\"move\"),this.move_exit=new _.Signal(this,\"move:exit\"),this.scroll=new _.Signal(this,\"scroll\"),this.keydown=new _.Signal(this,\"keydown\"),this.keyup=new _.Signal(this,\"keyup\"),this.hammer=new a.default(this.hit_area,{touchAction:\"auto\",inputClass:a.default.TouchMouseInput}),this._prev_move=null,this._curr_pan=null,this._curr_pinch=null,this._curr_rotate=null,this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",(t=>this._mouse_move(t))),this.hit_area.addEventListener(\"mouseenter\",(t=>this._mouse_enter(t))),this.hit_area.addEventListener(\"mouseleave\",(t=>this._mouse_exit(t))),this.hit_area.addEventListener(\"contextmenu\",(t=>this._context_menu(t))),this.hit_area.addEventListener(\"wheel\",(t=>this._mouse_wheel(t))),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new d.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}get hit_area(){return this.canvas_view.events_el}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",(t=>this._doubletap(t))),this.hammer.on(\"tap\",(t=>this._tap(t))),this.hammer.on(\"press\",(t=>this._press(t))),this.hammer.on(\"pressup\",(t=>this._pressup(t))),this.hammer.get(\"pan\").set({direction:a.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",(t=>this._pan_start(t))),this.hammer.on(\"pan\",(t=>this._pan(t))),this.hammer.on(\"panend\",(t=>this._pan_end(t))),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",(t=>this._pinch_start(t))),this.hammer.on(\"pinch\",(t=>this._pinch(t))),this.hammer.on(\"pinchend\",(t=>this._pinch_end(t))),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",(t=>this._rotate_start(t))),this.hammer.on(\"rotate\",(t=>this._rotate(t))),this.hammer.on(\"rotateend\",(t=>this._rotate_end(t)))}register_tool(t){const e=t.model.event_type;null!=e&&(u.isString(e)?this._register_tool(t,e):e.forEach(((e,s)=>this._register_tool(t,e,s<1))))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},a=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n))),null!=n._doubletap&&n.connect(this.doubletap,r(n._doubletap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(`unsupported event_type: ${e}`)}s&&(null!=n._keydown&&n.connect(this.keydown,a(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,a(n._keyup.bind(n))),v.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(h.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e,s){var n;const i=t.get_renderer_views();for(const t of p.reversed(i))if(null===(n=t.interactive_hit)||void 0===n?void 0:n.call(t,e,s))return t;return null}set_cursor(t=\"default\"){this.hit_area.style.cursor=t}_hit_test_frame(t,e,s){return t.frame.bbox.contains(e,s)}_hit_test_canvas(t,e,s){return t.layout.bbox.contains(e,s)}_hit_test_plot(t,e){for(const s of this.canvas_view.plot_views)if(s.layout.bbox.relative().contains(t,e))return s;return null}_trigger(t,e,s){var n;const{sx:i,sy:r}=e,a=this._hit_test_plot(i,r),_=t=>{const[s,n]=[i,r];return Object.assign(Object.assign({},e),{sx:s,sy:n})};if(\"panstart\"==e.type||\"pan\"==e.type||\"panend\"==e.type){let n;if(\"panstart\"==e.type&&null!=a?(this._curr_pan={plot_view:a},n=a):\"pan\"==e.type&&null!=this._curr_pan?n=this._curr_pan.plot_view:\"panend\"==e.type&&null!=this._curr_pan?(n=this._curr_pan.plot_view,this._curr_pan=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"pinchstart\"==e.type||\"pinch\"==e.type||\"pinchend\"==e.type){let n;if(\"pinchstart\"==e.type&&null!=a?(this._curr_pinch={plot_view:a},n=a):\"pinch\"==e.type&&null!=this._curr_pinch?n=this._curr_pinch.plot_view:\"pinchend\"==e.type&&null!=this._curr_pinch?(n=this._curr_pinch.plot_view,this._curr_pinch=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"rotatestart\"==e.type||\"rotate\"==e.type||\"rotateend\"==e.type){let n;if(\"rotatestart\"==e.type&&null!=a?(this._curr_rotate={plot_view:a},n=a):\"rotate\"==e.type&&null!=this._curr_rotate?n=this._curr_rotate.plot_view:\"rotateend\"==e.type&&null!=this._curr_rotate?(n=this._curr_rotate.plot_view,this._curr_rotate=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"mouseenter\"==e.type||\"mousemove\"==e.type||\"mouseleave\"==e.type){const h=null===(n=this._prev_move)||void 0===n?void 0:n.plot_view;if(null!=h&&(\"mouseleave\"==e.type||h!=a)){const{sx:t,sy:e}=_();this.__trigger(h,this.move_exit,{type:\"mouseleave\",sx:t,sy:e,shiftKey:!1,ctrlKey:!1},s)}if(null!=a&&(\"mouseenter\"==e.type||h!=a)){const{sx:t,sy:e}=_();this.__trigger(a,this.move_enter,{type:\"mouseenter\",sx:t,sy:e,shiftKey:!1,ctrlKey:!1},s)}if(null!=a&&\"mousemove\"==e.type){const e=_();this.__trigger(a,t,e,s)}this._prev_move={sx:i,sy:r,plot_view:a}}else if(null!=a){const e=_();this.__trigger(a,t,e,s)}}__trigger(t,e,s,n){var i,r;const a=t.model.toolbar.gestures,_=e.name.split(\":\")[0],h=this._hit_test_renderers(t,s.sx,s.sy),o=this._hit_test_canvas(t,s.sx,s.sy);switch(_){case\"move\":{const n=a[_].active;null!=n&&this.trigger(e,s,n.id);const r=t.model.toolbar.inspectors.filter((t=>t.active));let l=\"default\";null!=h?(l=null!==(i=h.cursor(s.sx,s.sy))&&void 0!==i?i:l,p.is_empty(r)||(e=this.move_exit)):this._hit_test_frame(t,s.sx,s.sy)&&(p.is_empty(r)||(l=\"crosshair\")),this.set_cursor(l),t.set_toolbar_visibility(o),r.map((t=>this.trigger(e,s,t.id)));break}case\"tap\":{const{target:t}=n;if(null!=t&&t!=this.hit_area)return;null!=h&&null!=h.on_hit&&h.on_hit(s.sx,s.sy);const i=a[_].active;null!=i&&this.trigger(e,s,i.id);break}case\"doubletap\":{const t=null!==(r=a.doubletap.active)&&void 0!==r?r:a.tap.active;null!=t&&this.trigger(e,s,t.id);break}case\"scroll\":{const t=a[v.is_mobile?\"pinch\":\"scroll\"].active;null!=t&&(n.preventDefault(),n.stopPropagation(),this.trigger(e,s,t.id));break}case\"pan\":{const t=a[_].active;null!=t&&(n.preventDefault(),this.trigger(e,s,t.id));break}default:{const t=a[_].active;null!=t&&this.trigger(e,s,t.id)}}this._trigger_bokeh_event(t,s)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t,e){const s=(()=>{const{sx:s,sy:n}=e,i=t.frame.x_scale.invert(s),r=t.frame.y_scale.invert(n);switch(e.type){case\"wheel\":return new l.MouseWheel(s,n,i,r,e.delta);case\"mousemove\":return new l.MouseMove(s,n,i,r);case\"mouseenter\":return new l.MouseEnter(s,n,i,r);case\"mouseleave\":return new l.MouseLeave(s,n,i,r);case\"tap\":return new l.Tap(s,n,i,r);case\"doubletap\":return new l.DoubleTap(s,n,i,r);case\"press\":return new l.Press(s,n,i,r);case\"pressup\":return new l.PressUp(s,n,i,r);case\"pan\":return new l.Pan(s,n,i,r,e.deltaX,e.deltaY);case\"panstart\":return new l.PanStart(s,n,i,r);case\"panend\":return new l.PanEnd(s,n,i,r);case\"pinch\":return new l.Pinch(s,n,i,r,e.scale);case\"pinchstart\":return new l.PinchStart(s,n,i,r);case\"pinchend\":return new l.PinchEnd(s,n,i,r);case\"rotate\":return new l.Rotate(s,n,i,r,e.rotation);case\"rotatestart\":return new l.RotateStart(s,n,i,r);case\"rotateend\":return new l.RotateEnd(s,n,i,r);default:return}})();null!=s&&t.model.trigger_event(s)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=o.offset(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:c.getDeltaY(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const e=this._pan_event(t);e.sx-=t.deltaX,e.sy-=t.deltaY,this._trigger(this.pan_start,e,t.srcEvent)}_pan(t){this._trigger(this.pan,this._pan_event(t),t.srcEvent)}_pan_end(t){this._trigger(this.pan_end,this._pan_event(t),t.srcEvent)}_pinch_start(t){this._trigger(this.pinch_start,this._pinch_event(t),t.srcEvent)}_pinch(t){this._trigger(this.pinch,this._pinch_event(t),t.srcEvent)}_pinch_end(t){this._trigger(this.pinch_end,this._pinch_event(t),t.srcEvent)}_rotate_start(t){this._trigger(this.rotate_start,this._rotate_event(t),t.srcEvent)}_rotate(t){this._trigger(this.rotate,this._rotate_event(t),t.srcEvent)}_rotate_end(t){this._trigger(this.rotate_end,this._rotate_event(t),t.srcEvent)}_tap(t){this._trigger(this.tap,this._tap_event(t),t.srcEvent)}_doubletap(t){this._trigger(this.doubletap,this._tap_event(t),t.srcEvent)}_press(t){this._trigger(this.press,this._tap_event(t),t.srcEvent)}_pressup(t){this._trigger(this.pressup,this._tap_event(t),t.srcEvent)}_mouse_enter(t){this._trigger(this.move_enter,this._move_event(t),t)}_mouse_move(t){this._trigger(this.move,this._move_event(t),t)}_mouse_exit(t){this._trigger(this.move_exit,this._move_event(t),t)}_mouse_wheel(t){this._trigger(this.scroll,this._scroll_event(t),t)}_context_menu(t){!this.menu.is_open&&this.menu.can_open&&t.preventDefault();const{sx:e,sy:s}=this._get_sxy(t);this.menu.toggle({left:e,top:s})}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEventBus=g,g.__name__=\"UIEventBus\"},\n", " function _(e,t,s,n,_){n();var a=this&&this.__decorate||function(e,t,s,n){var _,a=arguments.length,o=a<3?t:null===n?n=Object.getOwnPropertyDescriptor(t,s):n;if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.decorate)o=Reflect.decorate(e,t,s,n);else for(var c=e.length-1;c>=0;c--)(_=e[c])&&(o=(a<3?_(o):a>3?_(t,s,o):_(t,s))||o);return a>3&&o&&Object.defineProperty(t,s,o),o};function o(e){return function(t){t.prototype.event_name=e}}class c{to_json(){const{event_name:e}=this;return{event_name:e,event_values:this._to_json()}}}s.BokehEvent=c,c.__name__=\"BokehEvent\";class r extends c{constructor(){super(...arguments),this.origin=null}_to_json(){return{model:this.origin}}}s.ModelEvent=r,r.__name__=\"ModelEvent\";let l=class extends c{_to_json(){return{}}};s.DocumentReady=l,l.__name__=\"DocumentReady\",s.DocumentReady=l=a([o(\"document_ready\")],l);let i=class extends r{};s.ButtonClick=i,i.__name__=\"ButtonClick\",s.ButtonClick=i=a([o(\"button_click\")],i);let u=class extends r{constructor(e){super(),this.item=e}_to_json(){const{item:e}=this;return Object.assign(Object.assign({},super._to_json()),{item:e})}};s.MenuItemClick=u,u.__name__=\"MenuItemClick\",s.MenuItemClick=u=a([o(\"menu_item_click\")],u);class d extends r{}s.UIEvent=d,d.__name__=\"UIEvent\";let h=class extends d{};s.LODStart=h,h.__name__=\"LODStart\",s.LODStart=h=a([o(\"lodstart\")],h);let m=class extends d{};s.LODEnd=m,m.__name__=\"LODEnd\",s.LODEnd=m=a([o(\"lodend\")],m);let x=class extends d{constructor(e,t){super(),this.geometry=e,this.final=t}_to_json(){const{geometry:e,final:t}=this;return Object.assign(Object.assign({},super._to_json()),{geometry:e,final:t})}};s.SelectionGeometry=x,x.__name__=\"SelectionGeometry\",s.SelectionGeometry=x=a([o(\"selectiongeometry\")],x);let p=class extends d{};s.Reset=p,p.__name__=\"Reset\",s.Reset=p=a([o(\"reset\")],p);class j extends d{constructor(e,t,s,n){super(),this.sx=e,this.sy=t,this.x=s,this.y=n}_to_json(){const{sx:e,sy:t,x:s,y:n}=this;return Object.assign(Object.assign({},super._to_json()),{sx:e,sy:t,x:s,y:n})}}s.PointEvent=j,j.__name__=\"PointEvent\";let y=class extends j{constructor(e,t,s,n,_,a){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta_x=_,this.delta_y=a}_to_json(){const{delta_x:e,delta_y:t}=this;return Object.assign(Object.assign({},super._to_json()),{delta_x:e,delta_y:t})}};s.Pan=y,y.__name__=\"Pan\",s.Pan=y=a([o(\"pan\")],y);let P=class extends j{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.scale=_}_to_json(){const{scale:e}=this;return Object.assign(Object.assign({},super._to_json()),{scale:e})}};s.Pinch=P,P.__name__=\"Pinch\",s.Pinch=P=a([o(\"pinch\")],P);let v=class extends j{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.rotation=_}_to_json(){const{rotation:e}=this;return Object.assign(Object.assign({},super._to_json()),{rotation:e})}};s.Rotate=v,v.__name__=\"Rotate\",s.Rotate=v=a([o(\"rotate\")],v);let g=class extends j{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta=_}_to_json(){const{delta:e}=this;return Object.assign(Object.assign({},super._to_json()),{delta:e})}};s.MouseWheel=g,g.__name__=\"MouseWheel\",s.MouseWheel=g=a([o(\"wheel\")],g);let E=class extends j{};s.MouseMove=E,E.__name__=\"MouseMove\",s.MouseMove=E=a([o(\"mousemove\")],E);let O=class extends j{};s.MouseEnter=O,O.__name__=\"MouseEnter\",s.MouseEnter=O=a([o(\"mouseenter\")],O);let b=class extends j{};s.MouseLeave=b,b.__name__=\"MouseLeave\",s.MouseLeave=b=a([o(\"mouseleave\")],b);let M=class extends j{};s.Tap=M,M.__name__=\"Tap\",s.Tap=M=a([o(\"tap\")],M);let R=class extends j{};s.DoubleTap=R,R.__name__=\"DoubleTap\",s.DoubleTap=R=a([o(\"doubletap\")],R);let f=class extends j{};s.Press=f,f.__name__=\"Press\",s.Press=f=a([o(\"press\")],f);let S=class extends j{};s.PressUp=S,S.__name__=\"PressUp\",s.PressUp=S=a([o(\"pressup\")],S);let D=class extends j{};s.PanStart=D,D.__name__=\"PanStart\",s.PanStart=D=a([o(\"panstart\")],D);let k=class extends j{};s.PanEnd=k,k.__name__=\"PanEnd\",s.PanEnd=k=a([o(\"panend\")],k);let L=class extends j{};s.PinchStart=L,L.__name__=\"PinchStart\",s.PinchStart=L=a([o(\"pinchstart\")],L);let C=class extends j{};s.PinchEnd=C,C.__name__=\"PinchEnd\",s.PinchEnd=C=a([o(\"pinchend\")],C);let T=class extends j{};s.RotateStart=T,T.__name__=\"RotateStart\",s.RotateStart=T=a([o(\"rotatestart\")],T);let B=class extends j{};s.RotateEnd=B,B.__name__=\"RotateEnd\",s.RotateEnd=B=a([o(\"rotateend\")],B)},\n", " function _(t,e,n,l,o){\n", " /*!\n", " * jQuery Mousewheel 3.1.13\n", " *\n", " * Copyright jQuery Foundation and other contributors\n", " * Released under the MIT license\n", " * http://jquery.org/license\n", " */\n", " function u(t){const e=getComputedStyle(t).fontSize;return null!=e?parseInt(e,10):null}l(),n.getDeltaY=function(t){let e=-t.deltaY;if(t.target instanceof HTMLElement)switch(t.deltaMode){case t.DOM_DELTA_LINE:e*=(n=t.target,null!==(a=null!==(o=u(null!==(l=n.offsetParent)&&void 0!==l?l:document.body))&&void 0!==o?o:u(n))&&void 0!==a?a:16);break;case t.DOM_DELTA_PAGE:e*=function(t){return t.clientHeight}(t.target)}var n,l,o,a;return e}},\n", " function _(m,i,u,s,a){s(),a(\"Expression\",m(124).Expression),a(\"CustomJSExpr\",m(267).CustomJSExpr),a(\"Stack\",m(268).Stack),a(\"CumSum\",m(269).CumSum),a(\"ScalarExpression\",m(124).ScalarExpression),a(\"Minimum\",m(270).Minimum),a(\"Maximum\",m(271).Maximum)},\n", " function _(t,e,s,n,r){n();const i=t(14),o=t(124),a=t(24),c=t(9),u=t(13),l=t(34),h=t(8);class p extends o.Expression{constructor(t){super(t)}static init_CustomJSExpr(){this.define((({Unknown:t,String:e,Dict:s})=>({args:[s(t),{}],code:[e,\"\"]})))}connect_signals(){super.connect_signals();for(const t of u.values(this.args))t instanceof i.HasProps&&t.change.connect((()=>{this._result.clear(),this.change.emit()}))}get names(){return u.keys(this.args)}get values(){return u.values(this.args)}get func(){const t=l.use_strict(this.code);return new a.GeneratorFunction(...this.names,t)}_v_compute(t){const e=this.func.apply(t,this.values);let s=e.next();if(s.done&&void 0!==s.value){const{value:e}=s;return h.isArray(e)||h.isTypedArray(e)?e:h.isIterable(e)?[...e]:c.repeat(e,t.length)}{const t=[];do{t.push(s.value),s=e.next()}while(!s.done);return t}}}s.CustomJSExpr=p,p.__name__=\"CustomJSExpr\",p.init_CustomJSExpr()},\n", " function _(t,n,e,i,s){i();const a=t(124);class c extends a.Expression{constructor(t){super(t)}static init_Stack(){this.define((({String:t,Array:n})=>({fields:[n(t),[]]})))}_v_compute(t){var n;const e=null!==(n=t.get_length())&&void 0!==n?n:0,i=new Float64Array(e);for(const n of this.fields){const s=t.data[n];if(null!=s)for(let t=0,n=Math.min(e,s.length);t({field:[t],include_zero:[e,!1]})))}_v_compute(e){var t;const n=new Float64Array(null!==(t=e.get_length())&&void 0!==t?t:0),i=e.data[this.field],u=this.include_zero?1:0;n[0]=this.include_zero?0:i[0];for(let e=1;e({field:[n],initial:[t(i),null]})))}_compute(i){var n,t;const l=null!==(n=i.data[this.field])&&void 0!==n?n:[];return Math.min(null!==(t=this.initial)&&void 0!==t?t:1/0,m.min(l))}}t.Minimum=s,s.__name__=\"Minimum\",s.init_Minimum()},\n", " function _(i,t,a,n,l){n();const u=i(124),e=i(9);class m extends u.ScalarExpression{constructor(i){super(i)}static init_Maximum(){this.define((({Number:i,String:t,Nullable:a})=>({field:[t],initial:[a(i),null]})))}_compute(i){var t,a;const n=null!==(t=i.data[this.field])&&void 0!==t?t:[];return Math.max(null!==(a=this.initial)&&void 0!==a?a:-1/0,e.max(n))}}a.Maximum=m,m.__name__=\"Maximum\",m.init_Maximum()},\n", " function _(e,t,l,r,i){r(),i(\"BooleanFilter\",e(273).BooleanFilter),i(\"CustomJSFilter\",e(274).CustomJSFilter),i(\"Filter\",e(121).Filter),i(\"GroupFilter\",e(275).GroupFilter),i(\"IndexFilter\",e(276).IndexFilter)},\n", " function _(e,n,l,o,t){o();const i=e(121),s=e(24);class a extends i.Filter{constructor(e){super(e)}static init_BooleanFilter(){this.define((({Boolean:e,Array:n,Nullable:l})=>({booleans:[l(n(e)),null]})))}compute_indices(e){const n=e.length,{booleans:l}=this;return null==l?s.Indices.all_set(n):s.Indices.from_booleans(n,l)}}l.BooleanFilter=a,a.__name__=\"BooleanFilter\",a.init_BooleanFilter()},\n", " function _(e,t,s,n,r){n();const i=e(121),o=e(24),u=e(13),c=e(8),a=e(34);class l extends i.Filter{constructor(e){super(e)}static init_CustomJSFilter(){this.define((({Unknown:e,String:t,Dict:s})=>({args:[s(e),{}],code:[t,\"\"]})))}get names(){return u.keys(this.args)}get values(){return u.values(this.args)}get func(){const e=a.use_strict(this.code);return new Function(...this.names,\"source\",e)}compute_indices(e){const t=e.length,s=this.func(...this.values,e);if(null==s)return o.Indices.all_set(t);if(c.isArrayOf(s,c.isInteger))return o.Indices.from_indices(t,s);if(c.isArrayOf(s,c.isBoolean))return o.Indices.from_booleans(t,s);throw new Error(`expect an array of integers or booleans, or null, got ${s}`)}}s.CustomJSFilter=l,l.__name__=\"CustomJSFilter\",l.init_CustomJSFilter()},\n", " function _(n,t,e,i,o){i();const r=n(121),u=n(24),s=n(19);class c extends r.Filter{constructor(n){super(n)}static init_GroupFilter(){this.define((({String:n})=>({column_name:[n],group:[n]})))}compute_indices(n){const t=n.get_column(this.column_name);if(null==t)return s.logger.warn(`${this}: groupby column '${this.column_name}' not found in the data source`),new u.Indices(n.length,1);{const e=new u.Indices(n.length);for(let n=0;n({indices:[i(n(e)),null]})))}compute_indices(e){const n=e.length,{indices:i}=this;return null==i?c.Indices.all_set(n):c.Indices.from_indices(n,i)}}i.IndexFilter=r,r.__name__=\"IndexFilter\",r.init_IndexFilter()},\n", " function _(e,a,l,i,t){i(),t(\"AnnularWedge\",e(278).AnnularWedge),t(\"Annulus\",e(279).Annulus),t(\"Arc\",e(280).Arc),t(\"Bezier\",e(281).Bezier),t(\"Circle\",e(282).Circle),t(\"Ellipse\",e(286).Ellipse),t(\"EllipseOval\",e(287).EllipseOval),t(\"Glyph\",e(98).Glyph),t(\"HArea\",e(117).HArea),t(\"HBar\",e(289).HBar),t(\"HexTile\",e(291).HexTile),t(\"Image\",e(292).Image),t(\"ImageRGBA\",e(294).ImageRGBA),t(\"ImageURL\",e(295).ImageURL),t(\"Line\",e(63).Line),t(\"MultiLine\",e(127).MultiLine),t(\"MultiPolygons\",e(297).MultiPolygons),t(\"Oval\",e(298).Oval),t(\"Patch\",e(116).Patch),t(\"Patches\",e(128).Patches),t(\"Quad\",e(299).Quad),t(\"Quadratic\",e(300).Quadratic),t(\"Ray\",e(301).Ray),t(\"Rect\",e(302).Rect),t(\"Scatter\",e(303).Scatter),t(\"Segment\",e(306).Segment),t(\"Spline\",e(307).Spline),t(\"Step\",e(309).Step),t(\"Text\",e(310).Text),t(\"VArea\",e(119).VArea),t(\"VBar\",e(311).VBar),t(\"Wedge\",e(312).Wedge)},\n", " function _(e,t,s,i,r){i();const n=e(1),a=e(64),o=e(106),_=e(48),d=e(24),u=e(20),h=n.__importStar(e(18)),l=e(10),c=e(59);class g extends a.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this.inner_radius):this.sinner_radius=d.to_screen(this.inner_radius),\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this.outer_radius):this.souter_radius=d.to_screen(this.outer_radius)}_render(e,t,s){const{sx:i,sy:r,start_angle:n,end_angle:a,sinner_radius:o,souter_radius:_}=null!=s?s:this,d=\"anticlock\"==this.model.direction;for(const s of t){const t=i[s],u=r[s],h=o[s],l=_[s],c=n.get(s),g=a.get(s);if(isNaN(t+u+h+l+c+g))continue;const x=g-c;e.translate(t,u),e.rotate(c),e.beginPath(),e.moveTo(l,0),e.arc(0,0,l,0,x,d),e.rotate(x),e.lineTo(h,0),e.arc(0,0,h,0,-x,!d),e.closePath(),e.rotate(-x-c),e.translate(-t,-u),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,s),e.fill()),this.visuals.hatch.doit&&(this.visuals.hatch.set_vectorize(e,s),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,s),e.stroke())}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s);let n,a,o,_;if(\"data\"==this.model.properties.outer_radius.units)n=i-this.max_outer_radius,o=i+this.max_outer_radius,a=r-this.max_outer_radius,_=r+this.max_outer_radius;else{const e=t-this.max_outer_radius,i=t+this.max_outer_radius;[n,o]=this.renderer.xscale.r_invert(e,i);const r=s-this.max_outer_radius,d=s+this.max_outer_radius;[a,_]=this.renderer.yscale.r_invert(r,d)}const d=[];for(const e of this.index.indices({x0:n,x1:o,y0:a,y1:_})){const t=this.souter_radius[e]**2,s=this.sinner_radius[e]**2,[n,a]=this.renderer.xscale.r_compute(i,this._x[e]),[o,_]=this.renderer.yscale.r_compute(r,this._y[e]),u=(n-a)**2+(o-_)**2;u<=t&&u>=s&&d.push(e)}const u=\"anticlock\"==this.model.direction,h=[];for(const e of d){const i=Math.atan2(s-this.sy[e],t-this.sx[e]);l.angle_between(-i,-this.start_angle.get(e),-this.end_angle.get(e),u)&&h.push(e)}return new c.Selection({indices:h})}draw_legend_for_index(e,t,s){o.generic_area_vector_legend(this.visuals,e,t,s)}scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+t*Math.cos(s),this.sy[e]+t*Math.sin(s)]}}s.AnnularWedgeView=g,g.__name__=\"AnnularWedgeView\";class x extends a.XYGlyph{constructor(e){super(e)}static init_AnnularWedge(){this.prototype.default_view=g,this.mixins([_.LineVector,_.FillVector,_.HatchVector]),this.define((({})=>({direction:[u.Direction,\"anticlock\"],inner_radius:[h.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[h.DistanceSpec,{field:\"outer_radius\"}],start_angle:[h.AngleSpec,{field:\"start_angle\"}],end_angle:[h.AngleSpec,{field:\"end_angle\"}]})))}}s.AnnularWedge=x,x.__name__=\"AnnularWedge\",x.init_AnnularWedge()},\n", " function _(s,i,t,e,r){e();const n=s(1),a=s(64),u=s(24),_=s(48),o=n.__importStar(s(18)),h=s(27),d=s(59);class c extends a.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this.inner_radius):this.sinner_radius=u.to_screen(this.inner_radius),\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this.outer_radius):this.souter_radius=u.to_screen(this.outer_radius)}_render(s,i,t){const{sx:e,sy:r,sinner_radius:n,souter_radius:a}=null!=t?t:this;for(const t of i){const i=e[t],_=r[t],o=n[t],d=a[t];function u(){if(s.beginPath(),h.is_ie)for(const t of[!1,!0])s.arc(i,_,o,0,Math.PI,t),s.arc(i,_,d,Math.PI,0,!t);else s.arc(i,_,o,0,2*Math.PI,!0),s.arc(i,_,d,2*Math.PI,0,!1)}isNaN(i+_+o+d)||(this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,t),u(),s.fill()),this.visuals.hatch.doit&&(this.visuals.hatch.set_vectorize(s,t),u(),s.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,t),s.beginPath(),s.arc(i,_,o,0,2*Math.PI),s.moveTo(i+d,_),s.arc(i,_,d,0,2*Math.PI),s.stroke()))}}_hit_point(s){const{sx:i,sy:t}=s,e=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(t);let n,a,u,_;if(\"data\"==this.model.properties.outer_radius.units)n=e-this.max_outer_radius,u=e+this.max_outer_radius,a=r-this.max_outer_radius,_=r+this.max_outer_radius;else{const s=i-this.max_outer_radius,e=i+this.max_outer_radius;[n,u]=this.renderer.xscale.r_invert(s,e);const r=t-this.max_outer_radius,o=t+this.max_outer_radius;[a,_]=this.renderer.yscale.r_invert(r,o)}const o=[];for(const s of this.index.indices({x0:n,x1:u,y0:a,y1:_})){const i=this.souter_radius[s]**2,t=this.sinner_radius[s]**2,[n,a]=this.renderer.xscale.r_compute(e,this._x[s]),[u,_]=this.renderer.yscale.r_compute(r,this._y[s]),h=(n-a)**2+(u-_)**2;h<=i&&h>=t&&o.push(s)}return new d.Selection({indices:o})}draw_legend_for_index(s,{x0:i,y0:t,x1:e,y1:r},n){const a=n+1,u=new Array(a);u[n]=(i+e)/2;const _=new Array(a);_[n]=(t+r)/2;const o=.5*Math.min(Math.abs(e-i),Math.abs(r-t)),h=new Array(a);h[n]=.4*o;const d=new Array(a);d[n]=.8*o,this._render(s,[n],{sx:u,sy:_,sinner_radius:h,souter_radius:d})}}t.AnnulusView=c,c.__name__=\"AnnulusView\";class l extends a.XYGlyph{constructor(s){super(s)}static init_Annulus(){this.prototype.default_view=c,this.mixins([_.LineVector,_.FillVector,_.HatchVector]),this.define((({})=>({inner_radius:[o.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[o.DistanceSpec,{field:\"outer_radius\"}]})))}}t.Annulus=l,l.__name__=\"Annulus\",l.init_Annulus()},\n", " function _(e,i,s,t,n){t();const r=e(1),a=e(64),c=e(106),d=e(48),_=e(24),l=e(20),o=r.__importStar(e(18));class h extends a.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=_.to_screen(this.radius)}_render(e,i,s){if(this.visuals.line.doit){const{sx:t,sy:n,sradius:r,start_angle:a,end_angle:c}=null!=s?s:this,d=\"anticlock\"==this.model.direction;for(const s of i){const i=t[s],_=n[s],l=r[s],o=a.get(s),h=c.get(s);isNaN(i+_+l+o+h)||(e.beginPath(),e.arc(i,_,l,o,h,d),this.visuals.line.set_vectorize(e,s),e.stroke())}}}draw_legend_for_index(e,i,s){c.generic_line_vector_legend(this.visuals,e,i,s)}}s.ArcView=h,h.__name__=\"ArcView\";class u extends a.XYGlyph{constructor(e){super(e)}static init_Arc(){this.prototype.default_view=h,this.mixins(d.LineVector),this.define((({})=>({direction:[l.Direction,\"anticlock\"],radius:[o.DistanceSpec,{field:\"radius\"}],start_angle:[o.AngleSpec,{field:\"start_angle\"}],end_angle:[o.AngleSpec,{field:\"end_angle\"}]})))}}s.Arc=u,u.__name__=\"Arc\",u.init_Arc()},\n", " function _(e,t,i,s,n){s();const o=e(1),c=e(48),r=e(98),a=e(106),_=e(65),d=o.__importStar(e(18));function l(e,t,i,s,n,o,c,r){const a=[],_=[[],[]];for(let _=0;_<=2;_++){let d,l,x;if(0===_?(l=6*e-12*i+6*n,d=-3*e+9*i-9*n+3*c,x=3*i-3*e):(l=6*t-12*s+6*o,d=-3*t+9*s-9*o+3*r,x=3*s-3*t),Math.abs(d)<1e-12){if(Math.abs(l)<1e-12)continue;const e=-x/l;0({x0:[d.XCoordinateSpec,{field:\"x0\"}],y0:[d.YCoordinateSpec,{field:\"y0\"}],x1:[d.XCoordinateSpec,{field:\"x1\"}],y1:[d.YCoordinateSpec,{field:\"y1\"}],cx0:[d.XCoordinateSpec,{field:\"cx0\"}],cy0:[d.YCoordinateSpec,{field:\"cy0\"}],cx1:[d.XCoordinateSpec,{field:\"cx1\"}],cy1:[d.YCoordinateSpec,{field:\"cy1\"}]}))),this.mixins(c.LineVector)}}i.Bezier=h,h.__name__=\"Bezier\",h.init_Bezier()},\n", " function _(s,i,e,t,r){t();const a=s(1),n=s(64),h=s(283),d=s(48),l=s(24),c=s(20),_=a.__importStar(s(107)),u=a.__importStar(s(18)),o=s(9),x=s(12),m=s(59);class y extends n.XYGlyphView{initialize(){super.initialize();const{webgl:s}=this.renderer.plot_view.canvas_view;null!=s&&(this.glglyph=new h.MarkerGL(s.gl,this,\"circle\"))}get use_radius(){return!(this.radius.is_Scalar()&&isNaN(this.radius.value))}_map_data(){if(this.use_radius)if(\"data\"==this.model.properties.radius.units)switch(this.model.radius_dimension){case\"x\":this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius);break;case\"y\":this.sradius=this.sdist(this.renderer.yscale,this._y,this.radius);break;case\"max\":{const s=this.sdist(this.renderer.xscale,this._x,this.radius),i=this.sdist(this.renderer.yscale,this._y,this.radius);this.sradius=x.map(s,((s,e)=>Math.max(s,i[e])));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this.radius),i=this.sdist(this.renderer.yscale,this._y,this.radius);this.sradius=x.map(s,((s,e)=>Math.min(s,i[e])));break}}else this.sradius=l.to_screen(this.radius),this._configure(\"max_size\",{value:2*this.max_radius});else{const s=new l.ScreenArray(this.size);this.sradius=x.map(s,(s=>s/2))}}_mask_data(){const{frame:s}=this.renderer.plot_view,i=s.x_target,e=s.y_target;let t,r;return this.use_radius&&\"data\"==this.model.properties.radius.units?(t=i.map((s=>this.renderer.xscale.invert(s))).widen(this.max_radius),r=e.map((s=>this.renderer.yscale.invert(s))).widen(this.max_radius)):(t=i.widen(this.max_size).map((s=>this.renderer.xscale.invert(s))),r=e.widen(this.max_size).map((s=>this.renderer.yscale.invert(s)))),this.index.indices({x0:t.start,x1:t.end,y0:r.start,y1:r.end})}_render(s,i,e){const{sx:t,sy:r,sradius:a}=null!=e?e:this;for(const e of i){const i=t[e],n=r[e],h=a[e];isNaN(i+n+h)||(s.beginPath(),s.arc(i,n,h,0,2*Math.PI,!1),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,e),s.fill()),this.visuals.hatch.doit&&(this.visuals.hatch.set_vectorize(s,e),s.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,e),s.stroke()))}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e),{hit_dilation:a}=this.model;let n,h,d,l;if(this.use_radius&&\"data\"==this.model.properties.radius.units)n=t-this.max_radius*a,h=t+this.max_radius*a,d=r-this.max_radius*a,l=r+this.max_radius*a;else{const s=i-this.max_size*a,t=i+this.max_size*a;[n,h]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size*a,c=e+this.max_size*a;[d,l]=this.renderer.yscale.r_invert(r,c)}const c=this.index.indices({x0:n,x1:h,y0:d,y1:l}),_=[];if(this.use_radius&&\"data\"==this.model.properties.radius.units)for(const s of c){const i=(this.sradius[s]*a)**2,[e,n]=this.renderer.xscale.r_compute(t,this._x[s]),[h,d]=this.renderer.yscale.r_compute(r,this._y[s]);(e-n)**2+(h-d)**2<=i&&_.push(s)}else for(const s of c){const t=(this.sradius[s]*a)**2;(this.sx[s]-i)**2+(this.sy[s]-e)**2<=t&&_.push(s)}return new m.Selection({indices:_})}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,this.use_radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,this.use_radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=[...this.index.indices({x0:r,x1:a,y0:n,y1:h})];return new m.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),l=[...this.index.indices({x0:a,x1:n,y0:h,y1:d})];return new m.Selection({indices:l})}_hit_poly(s){const{sx:i,sy:e}=s,t=o.range(0,this.sx.length),r=[];for(let s=0,a=t.length;s({angle:[u.AngleSpec,0],size:[u.ScreenDistanceSpec,{value:4}],radius:[u.NullDistanceSpec,null],radius_dimension:[c.RadiusDimension,\"x\"],hit_dilation:[s,1]})))}}e.Circle=p,p.__name__=\"Circle\",p.init_Circle()},\n", " function _(t,e,s,i,a){i();const r=t(1),o=t(109),_=t(113),l=r.__importDefault(t(284)),h=r.__importDefault(t(285)),n=t(282),f=t(12),u=t(19),c=t(24),g=t(22),b=t(11);function d(t,e,s,i,a,r,o){if(a.doit)if(r.is_Scalar()&&o.is_Scalar()){e.used=!1;const[i,a,_,l]=g.color2rgba(r.value,o.value);t.set_attribute(s,\"vec4\",[i/255,a/255,_/255,l/255])}else{let a;if(e.used=!0,r.is_Vector()){const t=new c.ColorArray(r.array);if(a=new c.RGBAArray(t.buffer),!o.is_Scalar()||1!=o.value)for(let t=0;t2*t))),i.data_changed=!1),this.visuals_changed&&(this._set_visuals(a),this.visuals_changed=!1),this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[s.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[s.width,s.height]),this.prog.set_attribute(\"a_sx\",\"float\",i.vbo_sx),this.prog.set_attribute(\"a_sy\",\"float\",i.vbo_sy),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a),0!=t.length)if(t.length===a)this.prog.draw(this.gl.POINTS,[0,a]);else if(a<65535){const e=window.navigator.userAgent;e.indexOf(\"MSIE \")+e.indexOf(\"Trident/\")+e.indexOf(\"Edge/\")>0&&u.logger.warn(\"WebGL warning: IE is known to produce 1px sprites whith selections.\"),this.index_buffer.set_size(2*t.length),this.index_buffer.set_data(0,new Uint16Array(t)),this.prog.draw(this.gl.POINTS,this.index_buffer)}else{const e=64e3,s=[];for(let t=0,i=Math.ceil(a/e);t2*t))):this.vbo_s.set_data(0,new Float32Array(this.glyph.size))}_set_visuals(t){const{line:e,fill:s}=this.glyph.visuals;!function(t,e,s,i,a,r){if(a.doit){if(r.is_Scalar())e.used=!1,t.set_attribute(s,\"float\",[r.value]);else if(r.is_Vector()){e.used=!0;const a=new Float32Array(r.array);e.set_size(4*i),e.set_data(0,a),t.set_attribute(s,\"float\",e)}}else e.used=!1,t.set_attribute(s,\"float\",[0])}(this.prog,this.vbo_linewidth,\"a_linewidth\",t,e,e.line_width),d(this.prog,this.vbo_fg_color,\"a_fg_color\",t,e,e.line_color,e.line_alpha),d(this.prog,this.vbo_bg_color,\"a_bg_color\",t,s,s.fill_color,s.fill_alpha),this.prog.set_uniform(\"u_antialias\",\"float\",[.8])}}s.MarkerGL=p,p.__name__=\"MarkerGL\"},\n", " function _(n,i,a,o,_){o();a.default=\"\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\n//\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform vec2 u_offset;\\nuniform vec2 u_scale;\\nuniform float u_antialias;\\n//\\nattribute float a_sx;\\nattribute float a_sy;\\nattribute float a_size;\\nattribute float a_angle; // in radians\\nattribute float a_linewidth;\\nattribute vec4 a_fg_color;\\nattribute vec4 a_bg_color;\\n//\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec4 v_fg_color;\\nvarying vec4 v_bg_color;\\nvarying vec2 v_rotation;\\n\\nvoid main (void)\\n{\\n v_size = a_size * u_pixel_ratio;\\n v_linewidth = a_linewidth * u_pixel_ratio;\\n v_fg_color = a_fg_color;\\n v_bg_color = a_bg_color;\\n v_rotation = vec2(cos(-a_angle), sin(-a_angle));\\n vec2 pos = vec2(a_sx, a_sy); // in pixels\\n pos += 0.5; // make up for Bokeh's offset\\n pos /= u_canvas_size / u_pixel_ratio; // in 0..1\\n gl_Position = vec4(pos*2.0-1.0, 0.0, 1.0);\\n gl_Position.y *= -1.0;\\n gl_PointSize = SQRT_2 * v_size + 2.0 * (v_linewidth + 1.5*u_antialias);\\n}\\n\"},\n", " function _(n,a,s,e,t){e();s.default='\\nprecision mediump float;\\n\\nconst float SQRT_2 = 1.4142135623730951;\\nconst float PI = 3.14159265358979323846264;\\n\\nconst float IN_ANGLE = 0.6283185307179586; // PI/5. = 36 degrees (star of 5 pikes)\\n//const float OUT_ANGLE = PI/2. - IN_ANGLE; // External angle for regular stars\\nconst float COS_A = 0.8090169943749475; // cos(IN_ANGLE)\\nconst float SIN_A = 0.5877852522924731; // sin(IN_ANGLE)\\nconst float COS_B = 0.5877852522924731; // cos(OUT_ANGLE)\\nconst float SIN_B = 0.8090169943749475; // sin(OUT_ANGLE)\\n\\n//\\nuniform float u_antialias;\\n//\\nvarying vec4 v_fg_color;\\nvarying vec4 v_bg_color;\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec2 v_rotation;\\n\\n#ifdef USE_ASTERISK\\n// asterisk\\nfloat marker(vec2 P, float size)\\n{\\n // Masks\\n float diamond = max(abs(SQRT_2 / 2.0 * (P.x - P.y)), abs(SQRT_2 / 2.0 * (P.x + P.y))) - size / (2.0 * SQRT_2);\\n float square = max(abs(P.x), abs(P.y)) - size / (2.0 * SQRT_2);\\n // Shapes\\n float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0; // bit of \"width\" for aa\\n float cross = min(abs(P.x), abs(P.y)) - size / 100.0; // bit of \"width\" for aa\\n // Result is union of masked shapes\\n return min(max(X, diamond), max(cross, square));\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE\\n// circle\\nfloat marker(vec2 P, float size)\\n{\\n return length(P) - size/2.0;\\n}\\n#endif\\n\\n#ifdef USE_SQUARE\\n// square\\nfloat marker(vec2 P, float size)\\n{\\n return max(abs(P.x), abs(P.y)) - size/2.0;\\n}\\n#endif\\n\\n#ifdef USE_DIAMOND\\n// diamond\\nfloat marker(vec2 P, float size)\\n{\\n float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n return r1 / SQRT_2;\\n}\\n#endif\\n\\n#ifdef USE_HEX\\n// hex\\nfloat marker(vec2 P, float size)\\n{\\n vec2 q = abs(P);\\n return max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n}\\n#endif\\n\\n#ifdef USE_STAR\\n// star\\n// https://iquilezles.org/www/articles/distfunctions2d/distfunctions2d.htm\\nfloat marker(vec2 P, float size)\\n{\\n float bn = mod(atan(P.x, -P.y), 2.0*IN_ANGLE) - IN_ANGLE;\\n P = length(P)*vec2(cos(bn), abs(sin(bn)));\\n P -= size*vec2(COS_A, SIN_A)/2.;\\n P += vec2(COS_B, SIN_B)*clamp(-(P.x*COS_B + P.y*SIN_B), 0.0, size*SIN_A/SIN_B/2.);\\n\\n return length(P)*sign(P.x);\\n}\\n#endif\\n\\n#ifdef USE_TRIANGLE\\n// triangle\\nfloat marker(vec2 P, float size)\\n{\\n P.y -= size * 0.3;\\n float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n float r1 = max(abs(x), abs(y)) - size / 1.6;\\n float r2 = P.y;\\n return max(r1 / SQRT_2, r2); // Intersect diamond with rectangle\\n}\\n#endif\\n\\n#ifdef USE_INVERTED_TRIANGLE\\n// inverted_triangle\\nfloat marker(vec2 P, float size)\\n{\\n P.y += size * 0.3;\\n float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n float r1 = max(abs(x), abs(y)) - size / 1.6;\\n float r2 = - P.y;\\n return max(r1 / SQRT_2, r2); // Intersect diamond with rectangle\\n}\\n#endif\\n\\n#ifdef USE_CROSS\\n// cross\\nfloat marker(vec2 P, float size)\\n{\\n float square = max(abs(P.x), abs(P.y)) - size / 2.5; // 2.5 is a tweak\\n float cross = min(abs(P.x), abs(P.y)) - size / 100.0; // bit of \"width\" for aa\\n return max(square, cross);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_CROSS\\n// circle_cross\\nfloat marker(vec2 P, float size)\\n{\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float circle = length(P) - size/2.0;\\n float c1 = max(circle, s1);\\n float c2 = max(circle, s2);\\n float c3 = max(circle, s3);\\n float c4 = max(circle, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_CROSS\\n// square_cross\\nfloat marker(vec2 P, float size)\\n{\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n float c1 = max(square, s1);\\n float c2 = max(square, s2);\\n float c3 = max(square, s3);\\n float c4 = max(square, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_DIAMOND_CROSS\\n// diamond_cross\\nfloat marker(vec2 P, float size)\\n{\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n float diamond = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n diamond /= SQRT_2;\\n float c1 = max(diamond, s1);\\n float c2 = max(diamond, s2);\\n float c3 = max(diamond, s3);\\n float c4 = max(diamond, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_X\\n// x\\nfloat marker(vec2 P, float size)\\n{\\n float circle = length(P) - size / 1.6;\\n float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0; // bit of \"width\" for aa\\n return max(circle, X);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_X\\n// circle_x\\nfloat marker(vec2 P, float size)\\n{\\n float x = P.x - P.y;\\n float y = P.x + P.y;\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float circle = length(P) - size/2.0;\\n float c1 = max(circle, s1);\\n float c2 = max(circle, s2);\\n float c3 = max(circle, s3);\\n float c4 = max(circle, s4);\\n // Union\\n float almost = min(min(min(c1, c2), c3), c4);\\n // In this case, the X is also outside of the main shape\\n float Xmask = length(P) - size / 1.6; // a circle\\n float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0; // bit of \"width\" for aa\\n return min(max(X, Xmask), almost);\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_X\\n// square_x\\nfloat marker(vec2 P, float size)\\n{\\n float x = P.x - P.y;\\n float y = P.x + P.y;\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n float c1 = max(square, s1);\\n float c2 = max(square, s2);\\n float c3 = max(square, s3);\\n float c4 = max(square, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\nvec4 outline(float distance, float linewidth, float antialias, vec4 fg_color, vec4 bg_color)\\n{\\n vec4 frag_color;\\n float t = linewidth/2.0 - antialias;\\n float signed_distance = distance;\\n float border_distance = abs(signed_distance) - t;\\n float alpha = border_distance/antialias;\\n alpha = exp(-alpha*alpha);\\n\\n // If fg alpha is zero, it probably means no outline. To avoid a dark outline\\n // shining through due to aa, we set the fg color to the bg color. Avoid if (i.e. branching).\\n float select = float(bool(fg_color.a));\\n fg_color.rgb = select * fg_color.rgb + (1.0 - select) * bg_color.rgb;\\n // Similarly, if we want a transparent bg\\n select = float(bool(bg_color.a));\\n bg_color.rgb = select * bg_color.rgb + (1.0 - select) * fg_color.rgb;\\n\\n if( border_distance < 0.0)\\n frag_color = fg_color;\\n else if( signed_distance < 0.0 ) {\\n frag_color = mix(bg_color, fg_color, sqrt(alpha));\\n } else {\\n if( abs(signed_distance) < (linewidth/2.0 + antialias) ) {\\n frag_color = vec4(fg_color.rgb, fg_color.a * alpha);\\n } else {\\n discard;\\n }\\n }\\n return frag_color;\\n}\\n\\nvoid main()\\n{\\n vec2 P = gl_PointCoord.xy - vec2(0.5, 0.5);\\n P = vec2(v_rotation.x*P.x - v_rotation.y*P.y,\\n v_rotation.y*P.x + v_rotation.x*P.y);\\n float point_size = SQRT_2*v_size + 2.0 * (v_linewidth + 1.5*u_antialias);\\n float distance = marker(P*point_size, v_size);\\n gl_FragColor = outline(distance, v_linewidth, u_antialias, v_fg_color, v_bg_color);\\n}\\n'},\n", " function _(e,l,i,s,t){s();const _=e(287);class p extends _.EllipseOvalView{}i.EllipseView=p,p.__name__=\"EllipseView\";class n extends _.EllipseOval{constructor(e){super(e)}static init_Ellipse(){this.prototype.default_view=p}}i.Ellipse=n,n.__name__=\"Ellipse\",n.init_Ellipse()},\n", " function _(t,s,i,e,h){e();const r=t(1),a=t(288),n=r.__importStar(t(107)),l=t(24),o=t(59),_=r.__importStar(t(18));class d extends a.CenterRotatableView{_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this.width,\"center\"):this.sw=l.to_screen(this.width),\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this.height,\"center\"):this.sh=l.to_screen(this.height)}_render(t,s,i){const{sx:e,sy:h,sw:r,sh:a,angle:n}=null!=i?i:this;for(const i of s){const s=e[i],l=h[i],o=r[i],_=a[i],d=n.get(i);isNaN(s+l+o+_+d)||(t.beginPath(),t.ellipse(s,l,o/2,_/2,d,0,2*Math.PI),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,i),t.fill()),this.visuals.hatch.doit&&(this.visuals.hatch.set_vectorize(t,i),t.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,i),t.stroke()))}}_hit_point(t){let s,i,e,h,r,a,l,_,d;const{sx:c,sy:w}=t,x=this.renderer.xscale.invert(c),p=this.renderer.yscale.invert(w);\"data\"==this.model.properties.width.units?(s=x-this.max_width,i=x+this.max_width):(a=c-this.max_width,l=c+this.max_width,[s,i]=this.renderer.xscale.r_invert(a,l)),\"data\"==this.model.properties.height.units?(e=p-this.max_height,h=p+this.max_height):(_=w-this.max_height,d=w+this.max_height,[e,h]=this.renderer.yscale.r_invert(_,d));const m=this.index.indices({x0:s,x1:i,y0:e,y1:h}),v=[];for(const t of m)r=n.point_in_ellipse(c,w,this.angle.get(t),this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),r&&v.push(t);return new o.Selection({indices:v})}draw_legend_for_index(t,{x0:s,y0:i,x1:e,y1:h},r){const a=r+1,n=new Array(a);n[r]=(s+e)/2;const l=new Array(a);l[r]=(i+h)/2;const o=this.sw[r]/this.sh[r],d=.8*Math.min(Math.abs(e-s),Math.abs(h-i)),c=new Array(a),w=new Array(a);o>1?(c[r]=d,w[r]=d/o):(c[r]=d*o,w[r]=d);const x=new _.UniformScalar(0,a);this._render(t,[r],{sx:n,sy:l,sw:c,sh:w,angle:x})}}i.EllipseOvalView=d,d.__name__=\"EllipseOvalView\";class c extends a.CenterRotatable{constructor(t){super(t)}}i.EllipseOval=c,c.__name__=\"EllipseOval\"},\n", " function _(t,e,i,a,n){a();const s=t(1),h=t(64),r=t(48),o=s.__importStar(t(18));class _ extends h.XYGlyphView{get max_w2(){return\"data\"==this.model.properties.width.units?this.max_width/2:0}get max_h2(){return\"data\"==this.model.properties.height.units?this.max_height/2:0}_bounds({x0:t,x1:e,y0:i,y1:a}){const{max_w2:n,max_h2:s}=this;return{x0:t-n,x1:e+n,y0:i-s,y1:a+s}}}i.CenterRotatableView=_,_.__name__=\"CenterRotatableView\";class l extends h.XYGlyph{constructor(t){super(t)}static init_CenterRotatable(){this.mixins([r.LineVector,r.FillVector,r.HatchVector]),this.define((({})=>({angle:[o.AngleSpec,0],width:[o.DistanceSpec,{field:\"width\"}],height:[o.DistanceSpec,{field:\"height\"}]})))}}i.CenterRotatable=l,l.__name__=\"CenterRotatable\",l.init_CenterRotatable()},\n", " function _(t,e,s,i,h){i();const r=t(1),a=t(290),n=t(24),_=r.__importStar(t(18));class o extends a.BoxView{scenterxy(t){return[(this.sleft[t]+this.sright[t])/2,this.sy[t]]}_lrtb(t){const e=this._left[t],s=this._right[t],i=this._y[t],h=this.height.get(t)/2;return[Math.min(e,s),Math.max(e,s),i+h,i-h]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this.height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new n.ScreenArray(t),this.sbottom=new n.ScreenArray(t);for(let e=0;e({left:[_.XCoordinateSpec,{value:0}],y:[_.YCoordinateSpec,{field:\"y\"}],height:[_.NumberSpec,{value:1}],right:[_.XCoordinateSpec,{field:\"right\"}]})))}}s.HBar=c,c.__name__=\"HBar\",c.init_HBar()},\n", " function _(t,e,s,i,r){i();const n=t(48),o=t(98),a=t(106),h=t(59);class c extends o.GlyphView{get_anchor_point(t,e,s){const i=Math.min(this.sleft[e],this.sright[e]),r=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),o=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:i,y:n};case\"top\":case\"top_center\":return{x:(i+r)/2,y:n};case\"top_right\":return{x:r,y:n};case\"bottom_left\":return{x:i,y:o};case\"bottom\":case\"bottom_center\":return{x:(i+r)/2,y:o};case\"bottom_right\":return{x:r,y:o};case\"left\":case\"center_left\":return{x:i,y:(n+o)/2};case\"center\":case\"center_center\":return{x:(i+r)/2,y:(n+o)/2};case\"right\":case\"center_right\":return{x:r,y:(n+o)/2}}}_index_data(t){const{min:e,max:s}=Math,{data_size:i}=this;for(let r=0;r({r:[c.NumberSpec,{field:\"r\"}],q:[c.NumberSpec,{field:\"q\"}],scale:[c.NumberSpec,1],size:[e,1],aspect_scale:[e,1],orientation:[h.HexTileOrientation,\"pointytop\"]}))),this.override({line_color:null})}}s.HexTile=y,y.__name__=\"HexTile\",y.init_HexTile()},\n", " function _(e,a,t,_,s){_();const i=e(293),n=e(203),r=e(214);class o extends i.ImageBaseView{connect_signals(){super.connect_signals(),this.connect(this.model.color_mapper.change,(()=>this._update_image()))}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}t.ImageView=o,o.__name__=\"ImageView\";class m extends i.ImageBase{constructor(e){super(e)}static init_Image(){this.prototype.default_view=o,this.define((({Ref:e})=>({color_mapper:[e(n.ColorMapper),()=>new r.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})))}}t.Image=m,m.__name__=\"Image\",m.init_Image()},\n", " function _(e,t,i,s,a){s();const h=e(1),n=e(64),r=e(24),_=h.__importStar(e(18)),d=e(59),l=e(9),g=e(29),o=e(11);class c extends n.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,(()=>this.renderer.request_render()))}_render(e,t,i){const{image_data:s,sx:a,sy:h,sw:n,sh:r}=null!=i?i:this,_=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1),e.globalAlpha=this.model.global_alpha;for(const i of t){const t=s[i],_=a[i],d=h[i],l=n[i],g=r[i];if(null==t||isNaN(_+d+l+g))continue;const o=d;e.translate(0,o),e.scale(1,-1),e.translate(0,-o),e.drawImage(t,0|_,0|d,l,g),e.translate(0,o),e.scale(1,-1),e.translate(0,-o)}e.setImageSmoothingEnabled(_)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this.image.length;t({image:[_.NDArraySpec,{field:\"image\"}],dw:[_.DistanceSpec,{field:\"dw\"}],dh:[_.DistanceSpec,{field:\"dh\"}],dilate:[e,!1],global_alpha:[t,1]})))}}i.ImageBase=m,m.__name__=\"ImageBase\",m.init_ImageBase()},\n", " function _(e,a,t,_,i){_();const n=e(293),s=e(8);class r extends n.ImageBaseView{_flat_img_to_buf8(e){let a;return a=s.isArray(e)?new Uint32Array(e):e,new Uint8ClampedArray(a.buffer)}}t.ImageRGBAView=r,r.__name__=\"ImageRGBAView\";class m extends n.ImageBase{constructor(e){super(e)}static init_ImageRGBA(){this.prototype.default_view=r}}t.ImageRGBA=m,m.__name__=\"ImageRGBA\",m.init_ImageRGBA()},\n", " function _(e,t,s,r,a){r();const i=e(1),n=e(64),o=e(24),c=e(20),_=i.__importStar(e(18)),h=e(12),l=e(296);class d extends n.XYGlyphView{constructor(){super(...arguments),this._images_rendered=!1,this._set_data_iteration=0}connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,(()=>this.renderer.request_render()))}_index_data(e){const{data_size:t}=this;for(let s=0;s{this._set_data_iteration==r&&(this.image[a]=e,this.renderer.request_render())},attempts:t+1,timeout:s})}const a=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,n=this._x.length,c=new o.ScreenArray(a?2*n:n),_=new o.ScreenArray(i?2*n:n),{anchor:d}=this.model;function m(e,t){switch(d){case\"top_left\":case\"bottom_left\":case\"left\":case\"center_left\":return[e,e+t];case\"top\":case\"top_center\":case\"bottom\":case\"bottom_center\":case\"center\":case\"center_center\":return[e-t/2,e+t/2];case\"top_right\":case\"bottom_right\":case\"right\":case\"center_right\":return[e-t,e]}}function g(e,t){switch(d){case\"top_left\":case\"top\":case\"top_center\":case\"top_right\":return[e,e-t];case\"bottom_left\":case\"bottom\":case\"bottom_center\":case\"bottom_right\":return[e+t,e];case\"left\":case\"center_left\":case\"center\":case\"center_center\":case\"right\":case\"center_right\":return[e+t/2,e-t/2]}}if(a)for(let e=0;e({url:[_.StringSpec,{field:\"url\"}],anchor:[c.Anchor,\"top_left\"],global_alpha:[s,1],angle:[_.AngleSpec,0],w:[_.NullDistanceSpec,null],h:[_.NullDistanceSpec,null],dilate:[e,!1],retry_attempts:[t,0],retry_timeout:[t,0]})))}}s.ImageURL=m,m.__name__=\"ImageURL\",m.init_ImageURL()},\n", " function _(i,e,t,s,o){s();const a=i(19);class n{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:s=1}=e;this.promise=new Promise(((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const s=`unable to load ${i} image after ${t} attempts`;if(a.logger.warn(s),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());a.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout((()=>this._image.src=i),s)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i}))}get finished(){return this._finished}get image(){if(this._finished)return this._image;throw new Error(\"not loaded yet\")}}t.ImageLoader=n,n.__name__=\"ImageLoader\"},\n", " function _(t,s,e,i,n){i();const o=t(1),l=t(101),r=t(98),h=t(106),_=t(12),a=t(12),c=t(48),d=o.__importStar(t(107)),x=o.__importStar(t(18)),y=t(59),f=t(11);class g extends r.GlyphView{_project_data(){}_index_data(t){const{min:s,max:e}=Math,{data_size:i}=this;for(let n=0;n1&&c.length>1)for(let e=1,i=n.length;e1){let l=!1;for(let t=1;t({xs:[x.XCoordinateSeqSeqSeqSpec,{field:\"xs\"}],ys:[x.YCoordinateSeqSeqSeqSpec,{field:\"ys\"}]}))),this.mixins([c.LineVector,c.FillVector,c.HatchVector])}}e.MultiPolygons=p,p.__name__=\"MultiPolygons\",p.init_MultiPolygons()},\n", " function _(a,t,e,l,s){l();const _=a(287),i=a(12);class n extends _.EllipseOvalView{_map_data(){super._map_data(),i.mul(this.sw,.75)}}e.OvalView=n,n.__name__=\"OvalView\";class v extends _.EllipseOval{constructor(a){super(a)}static init_Oval(){this.prototype.default_view=n}}e.Oval=v,v.__name__=\"Oval\",v.init_Oval()},\n", " function _(t,e,i,o,s){o();const r=t(1),_=t(290),d=r.__importStar(t(18));class n extends _.BoxView{scenterxy(t){return[this.sleft[t]/2+this.sright[t]/2,this.stop[t]/2+this.sbottom[t]/2]}_lrtb(t){return[this._left[t],this._right[t],this._top[t],this._bottom[t]]}}i.QuadView=n,n.__name__=\"QuadView\";class a extends _.Box{constructor(t){super(t)}static init_Quad(){this.prototype.default_view=n,this.define((({})=>({right:[d.XCoordinateSpec,{field:\"right\"}],bottom:[d.YCoordinateSpec,{field:\"bottom\"}],left:[d.XCoordinateSpec,{field:\"left\"}],top:[d.YCoordinateSpec,{field:\"top\"}]})))}}i.Quad=a,a.__name__=\"Quad\",a.init_Quad()},\n", " function _(e,t,i,s,n){s();const a=e(1),c=e(48),o=e(65),r=e(98),_=e(106),d=a.__importStar(e(18));function l(e,t,i){if(t==(e+i)/2)return[e,i];{const s=(e-t)/(e-2*t+i),n=e*(1-s)**2+2*t*(1-s)*s+i*s**2;return[Math.min(e,i,n),Math.max(e,i,n)]}}class x extends r.GlyphView{_project_data(){o.inplace.project_xy(this._x0,this._y0),o.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{_x0:t,_x1:i,_y0:s,_y1:n,_cx:a,_cy:c,data_size:o}=this;for(let r=0;r({x0:[d.XCoordinateSpec,{field:\"x0\"}],y0:[d.YCoordinateSpec,{field:\"y0\"}],x1:[d.XCoordinateSpec,{field:\"x1\"}],y1:[d.YCoordinateSpec,{field:\"y1\"}],cx:[d.XCoordinateSpec,{field:\"cx\"}],cy:[d.YCoordinateSpec,{field:\"cy\"}]}))),this.mixins(c.LineVector)}}i.Quadratic=y,y.__name__=\"Quadratic\",y.init_Quadratic()},\n", " function _(e,t,s,i,n){i();const a=e(1),l=e(64),h=e(106),r=e(48),o=e(24),_=a.__importStar(e(18));class c extends l.XYGlyphView{_map_data(){\"data\"==this.model.properties.length.units?this.slength=this.sdist(this.renderer.xscale,this._x,this.length):this.slength=o.to_screen(this.length);const{width:e,height:t}=this.renderer.plot_view.frame.bbox,s=2*(e+t),{slength:i}=this;for(let e=0,t=i.length;e({length:[_.DistanceSpec,0],angle:[_.AngleSpec,0]})))}}s.Ray=g,g.__name__=\"Ray\",g.init_Ray()},\n", " function _(t,s,e,i,h){i();const r=t(288),n=t(106),a=t(24),o=t(12),l=t(59);class _ extends r.CenterRotatableView{_map_data(){if(\"data\"==this.model.properties.width.units)[this.sw,this.sx0]=this._map_dist_corner_for_data_side_length(this._x,this.width,this.renderer.xscale);else{this.sw=a.to_screen(this.width);const t=this.sx.length;this.sx0=new a.ScreenArray(t);for(let s=0;s({dilate:[t,!1]})))}}e.Rect=c,c.__name__=\"Rect\",c.init_Rect()},\n", " function _(e,t,r,s,i){s();const a=e(1),n=e(304),_=e(305),l=e(283),c=a.__importStar(e(18));class o extends n.MarkerView{_init_webgl(){const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e){const t=new Set(this.marker);if(1==t.size){const[r]=[...t];if(l.MarkerGL.is_supported(r)){const{glglyph:t}=this;if(null==t||t.marker_type!=r)return void(this.glglyph=new l.MarkerGL(e.gl,this,r))}}}delete this.glglyph}_set_data(e){super._set_data(e),this._init_webgl()}_render(e,t,r){const{sx:s,sy:i,size:a,angle:n,marker:l}=null!=r?r:this;for(const r of t){const t=s[r],c=i[r],o=a.get(r),g=n.get(r),h=l.get(r);if(isNaN(t+c+o+g)||null==h)continue;const d=o/2;e.beginPath(),e.translate(t,c),g&&e.rotate(g),_.marker_funcs[h](e,r,d,this.visuals),g&&e.rotate(-g),e.translate(-t,-c)}}draw_legend_for_index(e,{x0:t,x1:r,y0:s,y1:i},a){const n=a+1,_=this.marker.get(a),l=Object.assign(Object.assign({},this._get_legend_args({x0:t,x1:r,y0:s,y1:i},a)),{marker:new c.UniformScalar(_,n)});this._render(e,[a],l)}}r.ScatterView=o,o.__name__=\"ScatterView\";class g extends n.Marker{constructor(e){super(e)}static init_Scatter(){this.prototype.default_view=o,this.define((()=>({marker:[c.MarkerSpec,{value:\"circle\"}]})))}}r.Scatter=g,g.__name__=\"Scatter\",g.init_Scatter()},\n", " function _(e,t,s,i,n){i();const r=e(1),a=e(64),c=e(48),_=r.__importStar(e(107)),o=r.__importStar(e(18)),h=e(9),l=e(59);class x extends a.XYGlyphView{_render(e,t,s){const{sx:i,sy:n,size:r,angle:a}=null!=s?s:this;for(const s of t){const t=i[s],c=n[s],_=r.get(s),o=a.get(s);if(isNaN(t+c+_+o))continue;const h=_/2;e.beginPath(),e.translate(t,c),o&&e.rotate(o),this._render_one(e,s,h,this.visuals),o&&e.rotate(-o),e.translate(-t,-c)}}_mask_data(){const{x_target:e,y_target:t}=this.renderer.plot_view.frame,s=e.widen(this.max_size).map((e=>this.renderer.xscale.invert(e))),i=t.widen(this.max_size).map((e=>this.renderer.yscale.invert(e)));return this.index.indices({x0:s.start,x1:s.end,y0:i.start,y1:i.end})}_hit_point(e){const{sx:t,sy:s}=e,{max_size:i}=this,{hit_dilation:n}=this.model,r=t-i*n,a=t+i*n,[c,_]=this.renderer.xscale.r_invert(r,a),o=s-i*n,h=s+i*n,[x,d]=this.renderer.yscale.r_invert(o,h),y=this.index.indices({x0:c,x1:_,y0:x,y1:d}),g=[];for(const e of y){const i=this.size.get(e)/2*n;Math.abs(this.sx[e]-t)<=i&&Math.abs(this.sy[e]-s)<=i&&g.push(e)}return new l.Selection({indices:g})}_hit_span(e){const{sx:t,sy:s}=e,i=this.bounds(),n=this.max_size/2;let r,a,c,_;if(\"h\"==e.direction){c=i.y0,_=i.y1;const e=t-n,s=t+n;[r,a]=this.renderer.xscale.r_invert(e,s)}else{r=i.x0,a=i.x1;const e=s-n,t=s+n;[c,_]=this.renderer.yscale.r_invert(e,t)}const o=[...this.index.indices({x0:r,x1:a,y0:c,y1:_})];return new l.Selection({indices:o})}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,[r,a]=this.renderer.xscale.r_invert(t,s),[c,_]=this.renderer.yscale.r_invert(i,n),o=[...this.index.indices({x0:r,x1:a,y0:c,y1:_})];return new l.Selection({indices:o})}_hit_poly(e){const{sx:t,sy:s}=e,i=h.range(0,this.sx.length),n=[];for(let e=0,r=i.length;e({size:[o.ScreenDistanceSpec,{value:4}],angle:[o.AngleSpec,0],hit_dilation:[e,1]})))}}s.Marker=d,d.__name__=\"Marker\",d.init_Marker()},\n", " function _(t,e,i,o,l){o();const n=Math.sqrt(3),c=Math.sqrt(5),r=(c+1)/4,s=Math.sqrt((5-c)/8),f=(c-1)/4,a=Math.sqrt((5+c)/8);function h(t,e){t.rotate(Math.PI/4),d(t,e),t.rotate(-Math.PI/4)}function v(t,e){const i=e*n,o=i/3;t.moveTo(-i/2,-o),t.lineTo(0,0),t.lineTo(i/2,-o),t.lineTo(0,0),t.lineTo(0,e)}function d(t,e){t.moveTo(0,e),t.lineTo(0,-e),t.moveTo(-e,0),t.lineTo(e,0)}function _(t,e){t.moveTo(0,e),t.lineTo(e/1.5,0),t.lineTo(0,-e),t.lineTo(-e/1.5,0),t.closePath()}function u(t,e){const i=e*n,o=i/3;t.moveTo(-e,o),t.lineTo(e,o),t.lineTo(0,o-i),t.closePath()}function z(t,e,i,o){t.arc(0,0,i,0,2*Math.PI,!1),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())}function T(t,e,i,o){_(t,i),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())}function k(t,e,i,o){!function(t,e){t.beginPath(),t.arc(0,0,e/4,0,2*Math.PI,!1),t.closePath()}(t,i),o.line.set_vectorize(t,e),t.fillStyle=t.strokeStyle,t.fill()}function P(t,e,i,o){!function(t,e){const i=e/2,o=n*i;t.moveTo(e,0),t.lineTo(i,-o),t.lineTo(-i,-o),t.lineTo(-e,0),t.lineTo(-i,o),t.lineTo(i,o),t.closePath()}(t,i),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())}function m(t,e,i,o){const l=2*i;t.rect(-i,-i,l,l),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())}function q(t,e,i,o){!function(t,e){const i=Math.sqrt(5-2*c)*e;t.moveTo(0,-e),t.lineTo(i*f,i*a-e),t.lineTo(i*(1+f),i*a-e),t.lineTo(i*(1+f-r),i*(a+s)-e),t.lineTo(i*(1+2*f-r),i*(2*a+s)-e),t.lineTo(0,2*i*a-e),t.lineTo(-i*(1+2*f-r),i*(2*a+s)-e),t.lineTo(-i*(1+f-r),i*(a+s)-e),t.lineTo(-i*(1+f),i*a-e),t.lineTo(-i*f,i*a-e),t.closePath()}(t,i),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())}function M(t,e,i,o){u(t,i),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())}i.marker_funcs={asterisk:function(t,e,i,o){d(t,i),h(t,i),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())},circle:z,circle_cross:function(t,e,i,o){t.arc(0,0,i,0,2*Math.PI,!1),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),d(t,i),t.stroke())},circle_dot:function(t,e,i,o){z(t,e,i,o),k(t,e,i,o)},circle_y:function(t,e,i,o){t.arc(0,0,i,0,2*Math.PI,!1),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),v(t,i),t.stroke())},circle_x:function(t,e,i,o){t.arc(0,0,i,0,2*Math.PI,!1),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),h(t,i),t.stroke())},cross:function(t,e,i,o){d(t,i),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())},diamond:T,diamond_dot:function(t,e,i,o){T(t,e,i,o),k(t,e,i,o)},diamond_cross:function(t,e,i,o){_(t,i),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.moveTo(0,i),t.lineTo(0,-i),t.moveTo(-i/1.5,0),t.lineTo(i/1.5,0),t.stroke())},dot:k,hex:P,hex_dot:function(t,e,i,o){P(t,e,i,o),k(t,e,i,o)},inverted_triangle:function(t,e,i,o){t.rotate(Math.PI),u(t,i),t.rotate(-Math.PI),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())},plus:function(t,e,i,o){const l=3*i/8,n=[l,l,i,i,l,l,-l,-l,-i,-i,-l,-l],c=[i,l,l,-l,-l,-i,-i,-l,-l,l,l,i];t.beginPath();for(let e=0;e<12;e++)t.lineTo(n[e],c[e]);t.closePath(),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())},square:m,square_cross:function(t,e,i,o){const l=2*i;t.rect(-i,-i,l,l),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),d(t,i),t.stroke())},square_dot:function(t,e,i,o){m(t,e,i,o),k(t,e,i,o)},square_pin:function(t,e,i,o){const l=3*i/8;t.moveTo(-i,-i),t.quadraticCurveTo(0,-l,i,-i),t.quadraticCurveTo(l,0,i,i),t.quadraticCurveTo(0,l,-i,i),t.quadraticCurveTo(-l,0,-i,-i),t.closePath(),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())},square_x:function(t,e,i,o){const l=2*i;t.rect(-i,-i,l,l),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.moveTo(-i,i),t.lineTo(i,-i),t.moveTo(-i,-i),t.lineTo(i,i),t.stroke())},star:q,star_dot:function(t,e,i,o){q(t,e,i,o),k(t,e,i,o)},triangle:M,triangle_dot:function(t,e,i,o){M(t,e,i,o),k(t,e,i,o)},triangle_pin:function(t,e,i,o){const l=i*n,c=l/3,r=3*c/8;t.moveTo(-i,c),t.quadraticCurveTo(0,r,i,c),t.quadraticCurveTo(n*r/2,r/2,0,c-l),t.quadraticCurveTo(-n*r/2,r/2,-i,c),t.closePath(),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())},dash:function(t,e,i,o){!function(t,e){t.moveTo(-e,0),t.lineTo(e,0)}(t,i),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())},x:function(t,e,i,o){h(t,i),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())},y:function(t,e,i,o){v(t,i),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())}}},\n", " function _(e,t,s,i,n){i();const r=e(1),_=r.__importStar(e(107)),o=r.__importStar(e(18)),h=e(48),a=e(65),c=e(98),d=e(106),x=e(59);class y extends c.GlyphView{_project_data(){a.inplace.project_xy(this._x0,this._y0),a.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{min:t,max:s}=Math,{_x0:i,_x1:n,_y0:r,_y1:_,data_size:o}=this;for(let h=0;h({x0:[o.XCoordinateSpec,{field:\"x0\"}],y0:[o.YCoordinateSpec,{field:\"y0\"}],x1:[o.XCoordinateSpec,{field:\"x1\"}],y1:[o.YCoordinateSpec,{field:\"y1\"}]}))),this.mixins(h.LineVector)}}s.Segment=l,l.__name__=\"Segment\",l.init_Segment()},\n", " function _(t,e,s,i,n){i();const _=t(1),l=t(64),o=_.__importStar(t(48)),a=t(308);class c extends l.XYGlyphView{_set_data(){const{tension:t,closed:e}=this.model;[this._xt,this._yt]=a.catmullrom_spline(this._x,this._y,20,t,e)}_map_data(){const{x_scale:t,y_scale:e}=this.renderer.coordinates;this.sxt=t.v_compute(this._xt),this.syt=e.v_compute(this._yt)}_render(t,e,s){const{sxt:i,syt:n}=null!=s?s:this;this.visuals.line.set_value(t);const _=i.length;for(let e=0;e<_;e++)0!=e?isNaN(i[e])||isNaN(n[e])?(t.stroke(),t.beginPath()):t.lineTo(i[e],n[e]):(t.beginPath(),t.moveTo(i[e],n[e]));t.stroke()}}s.SplineView=c,c.__name__=\"SplineView\";class h extends l.XYGlyph{constructor(t){super(t)}static init_Spline(){this.prototype.default_view=c,this.mixins(o.LineScalar),this.define((({Boolean:t,Number:e})=>({tension:[e,.5],closed:[t,!1]})))}}s.Spline=h,h.__name__=\"Spline\",h.init_Spline()},\n", " function _(n,t,e,o,s){o();const c=n(24),l=n(11);e.catmullrom_spline=function(n,t,e=10,o=.5,s=!1){l.assert(n.length==t.length);const r=n.length,f=s?r+1:r,w=c.infer_type(n,t),i=new w(f+2),u=new w(f+2);i.set(n,1),u.set(t,1),s?(i[0]=n[r-1],u[0]=t[r-1],i[f]=n[0],u[f]=t[0],i[f+1]=n[1],u[f+1]=t[1]):(i[0]=n[0],u[0]=t[0],i[f+1]=n[r-1],u[f+1]=t[r-1]);const g=new w(4*(e+1));for(let n=0,t=0;n<=e;n++){const o=n/e,s=o**2,c=o*s;g[t++]=2*c-3*s+1,g[t++]=-2*c+3*s,g[t++]=c-2*s+o,g[t++]=c-s}const h=new w((f-1)*(e+1)),_=new w((f-1)*(e+1));for(let n=1,t=0;n1&&(e.stroke(),o=!1)}o?(e.lineTo(t,a),e.lineTo(r,_)):(e.beginPath(),e.moveTo(n[i],s[i]),o=!0),l=i}e.lineTo(n[r-1],s[r-1]),e.stroke()}}draw_legend_for_index(e,t,i){r.generic_line_scalar_legend(this.visuals,e,t)}}i.StepView=c,c.__name__=\"StepView\";class d extends l.XYGlyph{constructor(e){super(e)}static init_Step(){this.prototype.default_view=c,this.mixins(a.LineScalar),this.define((()=>({mode:[_.StepMode,\"before\"]})))}}i.Step=d,d.__name__=\"Step\",d.init_Step()},\n", " function _(t,e,s,i,n){i();const o=t(1),_=t(64),h=t(48),l=o.__importStar(t(107)),r=o.__importStar(t(18)),a=t(143),c=t(11),x=t(59);class u extends _.XYGlyphView{_rotate_point(t,e,s,i,n){return[(t-s)*Math.cos(n)-(e-i)*Math.sin(n)+s,(t-s)*Math.sin(n)+(e-i)*Math.cos(n)+i]}_text_bounds(t,e,s,i){return[[t,t+s,t+s,t,t],[e,e,e-i,e-i,e]]}_render(t,e,s){const{sx:i,sy:n,x_offset:o,y_offset:_,angle:h,text:l}=null!=s?s:this;this._sys=[],this._sxs=[];for(const s of e){const e=this._sxs[s]=[],r=this._sys[s]=[],c=i[s],x=n[s],u=o.get(s),f=_.get(s),p=h.get(s),g=l.get(s);if(!isNaN(c+x+u+f+p)&&null!=g&&this.visuals.text.doit){const i=`${g}`;t.save(),t.translate(c+u,x+f),t.rotate(p),this.visuals.text.set_vectorize(t,s);const n=this.visuals.text.font_value(s),{height:o}=a.font_metrics(n),_=this.text_line_height.get(s)*o;if(-1==i.indexOf(\"\\n\")){t.fillText(i,0,0);const s=c+u,n=x+f,o=t.measureText(i).width,[h,l]=this._text_bounds(s,n,o,_);e.push(h),r.push(l)}else{const n=i.split(\"\\n\"),o=_*n.length,h=this.text_baseline.get(s);let l;switch(h){case\"top\":l=0;break;case\"middle\":l=-o/2+_/2;break;case\"bottom\":l=-o+_;break;default:l=0,console.warn(`'${h}' baseline not supported with multi line text`)}for(const s of n){t.fillText(s,0,l);const i=c+u,n=l+x+f,o=t.measureText(s).width,[h,a]=this._text_bounds(i,n,o,_);e.push(h),r.push(a),l+=_}}t.restore()}}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;t({text:[r.NullStringSpec,{field:\"text\"}],angle:[r.AngleSpec,0],x_offset:[r.NumberSpec,0],y_offset:[r.NumberSpec,0]})))}}s.Text=f,f.__name__=\"Text\",f.init_Text()},\n", " function _(t,s,e,i,r){i();const h=t(1),o=t(290),a=t(24),n=h.__importStar(t(18));class _ extends o.BoxView{scenterxy(t){return[this.sx[t],(this.stop[t]+this.sbottom[t])/2]}_lrtb(t){const s=this.width.get(t)/2,e=this._x[t],i=this._top[t],r=this._bottom[t];return[e-s,e+s,Math.max(i,r),Math.min(i,r)]}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sw=this.sdist(this.renderer.xscale,this._x,this.width,\"center\"),this.stop=this.renderer.yscale.v_compute(this._top),this.sbottom=this.renderer.yscale.v_compute(this._bottom);const t=this.sx.length;this.sleft=new a.ScreenArray(t),this.sright=new a.ScreenArray(t);for(let s=0;s({x:[n.XCoordinateSpec,{field:\"x\"}],bottom:[n.YCoordinateSpec,{value:0}],width:[n.NumberSpec,{value:1}],top:[n.YCoordinateSpec,{field:\"top\"}]})))}}e.VBar=c,c.__name__=\"VBar\",c.init_VBar()},\n", " function _(e,t,s,i,n){i();const r=e(1),a=e(64),l=e(106),c=e(48),d=e(24),h=e(20),o=r.__importStar(e(18)),_=e(10),u=e(59);class g extends a.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=d.to_screen(this.radius)}_render(e,t,s){const{sx:i,sy:n,sradius:r,start_angle:a,end_angle:l}=null!=s?s:this,c=\"anticlock\"==this.model.direction;for(const s of t){const t=i[s],d=n[s],h=r[s],o=a.get(s),_=l.get(s);isNaN(t+d+h+o+_)||(e.beginPath(),e.arc(t,d,h,o,_,c),e.lineTo(t,d),e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,s),e.fill()),this.visuals.hatch.doit&&(this.visuals.hatch.set_vectorize(e,s),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,s),e.stroke()))}}_hit_point(e){let t,s,i,n,r,a,l,c,d;const{sx:h,sy:o}=e,g=this.renderer.xscale.invert(h),p=this.renderer.yscale.invert(o),x=2*this.max_radius;\"data\"===this.model.properties.radius.units?(a=g-x,l=g+x,c=p-x,d=p+x):(s=h-x,i=h+x,[a,l]=this.renderer.xscale.r_invert(s,i),n=o-x,r=o+x,[c,d]=this.renderer.yscale.r_invert(n,r));const f=[];for(const e of this.index.indices({x0:a,x1:l,y0:c,y1:d})){const a=this.sradius[e]**2;[s,i]=this.renderer.xscale.r_compute(g,this._x[e]),[n,r]=this.renderer.yscale.r_compute(p,this._y[e]),t=(s-i)**2+(n-r)**2,t<=a&&f.push(e)}const v=\"anticlock\"==this.model.direction,y=[];for(const e of f){const t=Math.atan2(o-this.sy[e],h-this.sx[e]);_.angle_between(-t,-this.start_angle.get(e),-this.end_angle.get(e),v)&&y.push(e)}return new u.Selection({indices:y})}draw_legend_for_index(e,t,s){l.generic_area_vector_legend(this.visuals,e,t,s)}scenterxy(e){const t=this.sradius[e]/2,s=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+t*Math.cos(s),this.sy[e]+t*Math.sin(s)]}}s.WedgeView=g,g.__name__=\"WedgeView\";class p extends a.XYGlyph{constructor(e){super(e)}static init_Wedge(){this.prototype.default_view=g,this.mixins([c.LineVector,c.FillVector,c.HatchVector]),this.define((({})=>({direction:[h.Direction,\"anticlock\"],radius:[o.DistanceSpec,{field:\"radius\"}],start_angle:[o.AngleSpec,{field:\"start_angle\"}],end_angle:[o.AngleSpec,{field:\"end_angle\"}]})))}}s.Wedge=p,p.__name__=\"Wedge\",p.init_Wedge()},\n", " function _(t,_,r,o,a){o();const e=t(1);e.__exportStar(t(126),r),e.__exportStar(t(125),r),e.__exportStar(t(314),r)},\n", " function _(t,a,o,r,e){r();const n=t(125);class l extends n.LayoutProvider{constructor(t){super(t)}static init_StaticLayoutProvider(){this.define((({Number:t,Tuple:a,Dict:o})=>({graph_layout:[o(a(t,t)),{}]})))}get_node_coordinates(t){var a;const o=null!==(a=t.data.index)&&void 0!==a?a:[],r=o.length,e=new Float64Array(r),n=new Float64Array(r);for(let t=0;tthis.request_render()))}_draw_regions(i){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;const[e,t]=this.grid_coords(\"major\",!1);for(let s=0;st[1]&&(n=t[1]);else{[s,n]=t;for(const i of this.plot_view.axis_views)i.dimension==this.model.dimension&&i.model.x_range_name==this.model.x_range_name&&i.model.y_range_name==this.model.y_range_name&&([s,n]=i.computed_bounds)}return[s,n]}grid_coords(i,e=!0){const t=this.model.dimension,s=(t+1)%2,[n,r]=this.ranges();let[o,d]=this.computed_bounds();[o,d]=[Math.min(o,d),Math.max(o,d)];const l=[[],[]],_=this.model.get_ticker();if(null==_)return l;const a=_.get_ticks(o,d,n,r.min)[i],h=n.min,u=n.max,c=r.min,m=r.max;e||(a[0]!=h&&a.splice(0,0,h),a[a.length-1]!=u&&a.push(u));for(let i=0;i({bounds:[r(n(i,i),e),\"auto\"],dimension:[t(0,1),0],axis:[d(s(o.Axis)),null],ticker:[d(s(l.Ticker)),null]}))),this.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})}get_ticker(){return null!=this.ticker?this.ticker:null!=this.axis?this.axis.ticker:null}}t.Grid=u,u.__name__=\"Grid\",u.init_Grid()},\n", " function _(o,a,x,B,e){B(),e(\"Box\",o(318).Box),e(\"Column\",o(320).Column),e(\"GridBox\",o(321).GridBox),e(\"HTMLBox\",o(322).HTMLBox),e(\"LayoutDOM\",o(319).LayoutDOM),e(\"Panel\",o(323).Panel),e(\"Row\",o(324).Row),e(\"Spacer\",o(325).Spacer),e(\"Tabs\",o(326).Tabs),e(\"WidgetBox\",o(329).WidgetBox)},\n", " function _(e,n,i,t,s){t();const o=e(319);class c extends o.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,(()=>this.rebuild()))}get child_models(){return this.model.children}}i.BoxView=c,c.__name__=\"BoxView\";class r extends o.LayoutDOM{constructor(e){super(e)}static init_Box(){this.define((({Number:e,Array:n,Ref:i})=>({children:[n(i(o.LayoutDOM)),[]],spacing:[e,0]})))}}i.Box=r,r.__name__=\"Box\",r.init_Box()},\n", " function _(t,i,e,s,o){s();const l=t(53),n=t(20),h=t(43),a=t(19),r=t(8),_=t(22),d=t(143),c=t(122),u=t(240),m=t(221),p=t(44),g=t(249);class f extends u.DOMView{constructor(){super(...arguments),this._idle_notified=!1,this._offset_parent=null,this._viewport={}}get base_font_size(){const t=getComputedStyle(this.el).fontSize,i=d.parse_css_font_size(t);if(null!=i){const{value:t,unit:e}=i;if(\"px\"==e)return t}return 13}initialize(){super.initialize(),this.el.style.position=this.is_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await this.build_child_views()}remove(){for(const t of this.child_views)t.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval((()=>{const t=this.el.offsetParent;this._offset_parent!=t&&(this._offset_parent=t,null!=t&&(this.compute_viewport(),this.invalidate_layout()))}),250));const t=this.model.properties;this.on_change([t.width,t.height,t.min_width,t.min_height,t.max_width,t.max_height,t.margin,t.width_policy,t.height_policy,t.sizing_mode,t.aspect_ratio,t.visible],(()=>this.invalidate_layout())),this.on_change([t.background,t.css_classes],(()=>this.invalidate_render()))}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map((t=>this._child_views.get(t)))}async build_child_views(){await c.build_views(this._child_views,this.child_models,{parent:this})}render(){super.render(),h.empty(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?_.color2css(t):\"\",h.classes(this.el).clear().add(...this.css_classes());for(const t of this.child_views)this.el.appendChild(t.el),t.render()}update_layout(){for(const t of this.child_views)t.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const t=this.is_root?this.layout.sizing.margin:void 0;h.position(this.el,this.layout.bbox,t);for(const t of this.child_views)t.update_position()}after_layout(){for(const t of this.child_views)t.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(t){t.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build()}build(){return this.assert_root(),this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const t=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),a.logger.debug(`layout computed in ${Date.now()-t} ms`),this.notify_finished()}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const t of this.child_views)if(!t.has_finished())return!1;return!0}notify_finished(){this.is_root?!this._idle_notified&&this.has_finished()&&null!=this.model.document&&(this._idle_notified=!0,this.model.document.notify_idle(this.model)):this.root.notify_finished()}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:t,height_policy:i,aspect_ratio:e}=this.model;\"auto\"==t&&(t=this._width_policy()),\"auto\"==i&&(i=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)t=i=\"fixed\";else if(\"stretch_both\"==s)t=i=\"max\";else if(\"stretch_width\"==s)t=\"max\";else if(\"stretch_height\"==s)i=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":t=\"max\",i=\"min\";break;case\"scale_height\":t=\"min\",i=\"max\";break;case\"scale_both\":t=\"max\",i=\"max\"}const o={width_policy:t,height_policy:i},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:h,height:a}=this.model;null!=h&&(o.width=h),null!=a&&(o.height=a);const{max_width:_,max_height:d}=this.model;null!=_&&(o.max_width=_),null!=d&&(o.max_height=d),\"auto\"==e&&null!=h&&null!=a?o.aspect=h/a:r.isNumber(e)&&(o.aspect=e);const{margin:c}=this.model;if(null!=c)if(r.isNumber(c))o.margin={top:c,right:c,bottom:c,left:c};else if(2==c.length){const[t,i]=c;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=c;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:u}=this.model;return r.isArray(u)?[o.halign,o.valign]=u:o.halign=o.valign=u,o}_viewport_size(){return h.undisplayed(this.el,(()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(p.root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=h.extents(document.body);return{width:Math.ceil(document.documentElement.clientWidth-t-i),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:i,right:e,top:s,bottom:o}}=h.extents(t),{width:l,height:n}=t.getBoundingClientRect(),a=Math.ceil(l-i-e),r=Math.ceil(n-s-o);if(a>0||r>0)return{width:a>0?a:void 0,height:r>0?r:void 0}}return{}}))}export(t,i=!0){const e=\"png\"==t?\"canvas\":\"svg\",s=new g.CanvasLayer(e,i),{width:o,height:l}=this.layout.bbox;s.resize(o,l);for(const e of this.child_views){const o=e.export(t,i),{x:l,y:n}=e.layout.bbox;s.ctx.drawImage(o.canvas,l,n)}return s}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map((t=>t.serializable_state()))})}}e.LayoutDOMView=f,f.__name__=\"LayoutDOMView\";class w extends l.Model{constructor(t){super(t)}static init_LayoutDOM(){this.define((t=>{const{Boolean:i,Number:e,String:s,Auto:o,Color:l,Array:h,Tuple:a,Or:r,Null:_,Nullable:d}=t,c=a(e,e),u=a(e,e,e,e);return{width:[d(e),null],height:[d(e),null],min_width:[d(e),null],min_height:[d(e),null],max_width:[d(e),null],max_height:[d(e),null],margin:[d(r(e,c,u)),[0,0,0,0]],width_policy:[r(m.SizingPolicy,o),\"auto\"],height_policy:[r(m.SizingPolicy,o),\"auto\"],aspect_ratio:[r(e,o,_),null],sizing_mode:[d(n.SizingMode),null],visible:[i,!0],disabled:[i,!1],align:[r(n.Align,a(n.Align,n.Align)),\"start\"],background:[d(l),null],css_classes:[h(s),[]]}}))}}e.LayoutDOM=w,w.__name__=\"LayoutDOM\",w.init_LayoutDOM()},\n", " function _(t,s,i,o,n){o();const e=t(318),l=t(223);class u extends e.BoxView{_update_layout(){const t=this.child_views.map((t=>t.layout));this.layout=new l.Column(t),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}i.ColumnView=u,u.__name__=\"ColumnView\";class a extends e.Box{constructor(t){super(t)}static init_Column(){this.prototype.default_view=u,this.define((({Any:t})=>({rows:[t,\"auto\"]})))}}i.Column=a,a.__name__=\"Column\",a.init_Column()},\n", " function _(t,s,i,o,e){o();const n=t(319),l=t(223);class a extends n.LayoutDOMView{connect_signals(){super.connect_signals();const{children:t,rows:s,cols:i,spacing:o}=this.model.properties;this.on_change([t,s,i,o],(()=>this.rebuild()))}get child_models(){return this.model.children.map((([t])=>t))}_update_layout(){this.layout=new l.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[t,s,i,o,e]of this.model.children){const n=this._child_views.get(t);this.layout.items.push({layout:n.layout,row:s,col:i,row_span:o,col_span:e})}this.layout.set_sizing(this.box_sizing())}}i.GridBoxView=a,a.__name__=\"GridBoxView\";class r extends n.LayoutDOM{constructor(t){super(t)}static init_GridBox(){this.prototype.default_view=a,this.define((({Any:t,Int:s,Number:i,Tuple:o,Array:e,Ref:l,Or:a,Opt:r})=>({children:[e(o(l(n.LayoutDOM),s,s,r(s),r(s))),[]],rows:[t,\"auto\"],cols:[t,\"auto\"],spacing:[a(i,o(i,i)),0]})))}}i.GridBox=r,r.__name__=\"GridBox\",r.init_GridBox()},\n", " function _(t,e,o,s,n){s();const _=t(319),i=t(221);class a extends _.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new i.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=a,a.__name__=\"HTMLBoxView\";class u extends _.LayoutDOM{constructor(t){super(t)}}o.HTMLBox=u,u.__name__=\"HTMLBox\"},\n", " function _(e,n,t,i,l){i();const a=e(53),o=e(319);class s extends a.Model{constructor(e){super(e)}static init_Panel(){this.define((({Boolean:e,String:n,Ref:t})=>({title:[n,\"\"],child:[t(o.LayoutDOM)],closable:[e,!1]})))}}t.Panel=s,s.__name__=\"Panel\",s.init_Panel()},\n", " function _(t,s,i,o,e){o();const n=t(318),a=t(223);class _ extends n.BoxView{_update_layout(){const t=this.child_views.map((t=>t.layout));this.layout=new a.Row(t),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}i.RowView=_,_.__name__=\"RowView\";class l extends n.Box{constructor(t){super(t)}static init_Row(){this.prototype.default_view=_,this.define((({Any:t})=>({cols:[t,\"auto\"]})))}}i.Row=l,l.__name__=\"Row\",l.init_Row()},\n", " function _(t,e,a,i,s){i();const _=t(319),c=t(221);class n extends _.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new c.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=n,n.__name__=\"SpacerView\";class o extends _.LayoutDOM{constructor(t){super(t)}static init_Spacer(){this.prototype.default_view=n}}a.Spacer=o,o.__name__=\"Spacer\",o.init_Spacer()},\n", " function _(e,t,s,i,l){i();const h=e(1),a=e(221),o=e(43),r=e(9),c=e(10),d=e(20),n=e(319),_=e(323),p=h.__importStar(e(327)),b=p,u=h.__importStar(e(328)),m=u,g=h.__importStar(e(243)),v=g;class w extends n.LayoutDOMView{constructor(){super(...arguments),this._scroll_index=0}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,(()=>this.rebuild())),this.connect(this.model.properties.active.change,(()=>this.on_active_change()))}styles(){return[...super.styles(),u.default,g.default,p.default]}get child_models(){return this.model.tabs.map((e=>e.child))}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends a.ContentBox{_measure(e){const l=o.size(s),h=o.children(i).slice(0,3).map((e=>o.size(e))),{width:a,height:c}=super._measure(e);if(t){const t=l.width+r.sum(h.map((e=>e.width)));return{width:e.width!=1/0?e.width:t,height:c}}{const t=l.height+r.sum(h.map((e=>e.height)));return{width:a,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let l=1,h=1;switch(e){case\"above\":l-=1;break;case\"below\":l+=1;break;case\"left\":h-=1;break;case\"right\":h+=1}const c={layout:this.header,row:l,col:h},d=this.child_views.map((e=>({layout:e.layout,row:1,col:1})));this.layout=new a.Grid([c,...d]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",o.position(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=o.size(this.scroll_el),i=o.scroll_size(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=e-s.width+\"px\",o.display(this.scroll_el),this.do_scroll(this.model.active)):(this.wrapper_el.style.maxWidth=\"\",o.undisplay(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",o.display(this.scroll_el),this.do_scroll(this.model.active)):(this.wrapper_el.style.maxHeight=\"\",o.undisplay(this.scroll_el))}const{child_views:l}=this;for(const e of l)o.hide(e.el);const h=l[this.model.active];null!=h&&o.show(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs.map(((t,s)=>{const i=o.div({class:[b.tab,s==e?b.active:null]},t.title);if(i.addEventListener(\"click\",(e=>{e.target==e.currentTarget&&this.change_active(s)})),t.closable){const e=o.div({class:b.close});e.addEventListener(\"click\",(e=>{if(e.target==e.currentTarget){this.model.tabs=r.remove_at(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}})),i.appendChild(e)}return i}));this.headers_el=o.div({class:[b.headers]},t),this.wrapper_el=o.div({class:b.headers_wrapper},this.headers_el),this.left_el=o.div({class:[m.btn,m.btn_default],disabled:\"\"},o.div({class:[v.caret,b.left]})),this.right_el=o.div({class:[m.btn,m.btn_default]},o.div({class:[v.caret,b.right]})),this.left_el.addEventListener(\"click\",(()=>this.do_scroll(\"left\"))),this.right_el.addEventListener(\"click\",(()=>this.do_scroll(\"right\"))),this.scroll_el=o.div({class:m.btn_group},this.left_el,this.right_el);const s=this.model.tabs_location;this.header_el=o.div({class:[b.tabs_header,b[s]]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}do_scroll(e){const t=this.model.tabs.length;\"left\"==e?this._scroll_index-=1:\"right\"==e?this._scroll_index+=1:this._scroll_index=e,this._scroll_index=c.clamp(this._scroll_index,0,t-1),0==this._scroll_index?this.left_el.setAttribute(\"disabled\",\"\"):this.left_el.removeAttribute(\"disabled\"),this._scroll_index==t-1?this.right_el.setAttribute(\"disabled\",\"\"):this.right_el.removeAttribute(\"disabled\");const s=o.children(this.headers_el).slice(0,this._scroll_index).map((e=>e.getBoundingClientRect())),i=this.model.tabs_location;if(\"above\"==i||\"below\"==i){const e=-r.sum(s.map((e=>e.width)));this.headers_el.style.left=`${e}px`}else{const e=-r.sum(s.map((e=>e.height)));this.headers_el.style.top=`${e}px`}}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=o.children(this.headers_el);for(const e of t)e.classList.remove(b.active);t[e].classList.add(b.active);const{child_views:s}=this;for(const e of s)o.hide(e.el);o.show(s[e].el)}}s.TabsView=w,w.__name__=\"TabsView\";class f extends n.LayoutDOM{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=w,this.define((({Int:e,Array:t,Ref:s})=>({tabs:[t(s(_.Panel)),[]],tabs_location:[d.Location,\"above\"],active:[e,0]})))}}s.Tabs=f,f.__name__=\"Tabs\",f.init_Tabs()},\n", " function _(e,r,b,o,t){o(),b.root=\"bk-root\",b.tabs_header=\"bk-tabs-header\",b.btn_group=\"bk-btn-group\",b.btn=\"bk-btn\",b.headers_wrapper=\"bk-headers-wrapper\",b.above=\"bk-above\",b.right=\"bk-right\",b.below=\"bk-below\",b.left=\"bk-left\",b.headers=\"bk-headers\",b.tab=\"bk-tab\",b.active=\"bk-active\",b.close=\"bk-close\",b.default='.bk-root .bk-tabs-header{display:flex;display:-webkit-flex;flex-wrap:nowrap;-webkit-flex-wrap:nowrap;align-items:center;-webkit-align-items:center;overflow:hidden;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-tabs-header .bk-btn-group{height:auto;margin-right:5px;}.bk-root .bk-tabs-header .bk-btn-group > .bk-btn{flex-grow:0;-webkit-flex-grow:0;height:auto;padding:4px 4px;}.bk-root .bk-tabs-header .bk-headers-wrapper{flex-grow:1;-webkit-flex-grow:1;overflow:hidden;color:#666666;}.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper{border-bottom:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper{border-left:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper{border-top:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper{border-right:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-above,.bk-root .bk-tabs-header.bk-below{flex-direction:row;-webkit-flex-direction:row;}.bk-root .bk-tabs-header.bk-above .bk-headers,.bk-root .bk-tabs-header.bk-below .bk-headers{flex-direction:row;-webkit-flex-direction:row;}.bk-root .bk-tabs-header.bk-left,.bk-root .bk-tabs-header.bk-right{flex-direction:column;-webkit-flex-direction:column;}.bk-root .bk-tabs-header.bk-left .bk-headers,.bk-root .bk-tabs-header.bk-right .bk-headers{flex-direction:column;-webkit-flex-direction:column;}.bk-root .bk-tabs-header .bk-headers{position:relative;display:flex;display:-webkit-flex;flex-wrap:nowrap;-webkit-flex-wrap:nowrap;align-items:center;-webkit-align-items:center;}.bk-root .bk-tabs-header .bk-tab{padding:4px 8px;border:solid transparent;white-space:nowrap;cursor:pointer;}.bk-root .bk-tabs-header .bk-tab:hover{background-color:#f2f2f2;}.bk-root .bk-tabs-header .bk-tab.bk-active{color:#4d4d4d;background-color:white;border-color:#e6e6e6;}.bk-root .bk-tabs-header .bk-tab .bk-close{margin-left:10px;}.bk-root .bk-tabs-header.bk-above .bk-tab{border-width:3px 1px 0px 1px;border-radius:4px 4px 0 0;}.bk-root .bk-tabs-header.bk-right .bk-tab{border-width:1px 3px 1px 0px;border-radius:0 4px 4px 0;}.bk-root .bk-tabs-header.bk-below .bk-tab{border-width:0px 1px 3px 1px;border-radius:0 0 4px 4px;}.bk-root .bk-tabs-header.bk-left .bk-tab{border-width:1px 0px 1px 3px;border-radius:4px 0 0 4px;}.bk-root .bk-close{display:inline-block;width:10px;height:10px;vertical-align:middle;background-image:url(\\'data:image/svg+xml;utf8, \\');}.bk-root .bk-close:hover{background-image:url(\\'data:image/svg+xml;utf8, \\');}'},\n", " function _(o,b,r,t,e){t(),r.root=\"bk-root\",r.btn=\"bk-btn\",r.active=\"bk-active\",r.btn_default=\"bk-btn-default\",r.btn_primary=\"bk-btn-primary\",r.btn_success=\"bk-btn-success\",r.btn_warning=\"bk-btn-warning\",r.btn_danger=\"bk-btn-danger\",r.btn_light=\"bk-btn-light\",r.btn_group=\"bk-btn-group\",r.dropdown_toggle=\"bk-dropdown-toggle\",r.default=\".bk-root .bk-btn{height:100%;display:inline-block;text-align:center;vertical-align:middle;white-space:nowrap;cursor:pointer;padding:6px 12px;font-size:12px;border:1px solid transparent;border-radius:4px;outline:0;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-btn:hover,.bk-root .bk-btn:focus{text-decoration:none;}.bk-root .bk-btn:active,.bk-root .bk-btn.bk-active{background-image:none;box-shadow:inset 0 3px 5px rgba(0, 0, 0, 0.125);}.bk-root .bk-btn[disabled]{cursor:not-allowed;pointer-events:none;opacity:0.65;box-shadow:none;}.bk-root .bk-btn-default{color:#333;background-color:#fff;border-color:#ccc;}.bk-root .bk-btn-default:hover{background-color:#f5f5f5;border-color:#b8b8b8;}.bk-root .bk-btn-default.bk-active{background-color:#ebebeb;border-color:#adadad;}.bk-root .bk-btn-default[disabled],.bk-root .bk-btn-default[disabled]:hover,.bk-root .bk-btn-default[disabled]:focus,.bk-root .bk-btn-default[disabled]:active,.bk-root .bk-btn-default[disabled].bk-active{background-color:#e6e6e6;border-color:#ccc;}.bk-root .bk-btn-primary{color:#fff;background-color:#428bca;border-color:#357ebd;}.bk-root .bk-btn-primary:hover{background-color:#3681c1;border-color:#2c699e;}.bk-root .bk-btn-primary.bk-active{background-color:#3276b1;border-color:#285e8e;}.bk-root .bk-btn-primary[disabled],.bk-root .bk-btn-primary[disabled]:hover,.bk-root .bk-btn-primary[disabled]:focus,.bk-root .bk-btn-primary[disabled]:active,.bk-root .bk-btn-primary[disabled].bk-active{background-color:#506f89;border-color:#357ebd;}.bk-root .bk-btn-success{color:#fff;background-color:#5cb85c;border-color:#4cae4c;}.bk-root .bk-btn-success:hover{background-color:#4eb24e;border-color:#409240;}.bk-root .bk-btn-success.bk-active{background-color:#47a447;border-color:#398439;}.bk-root .bk-btn-success[disabled],.bk-root .bk-btn-success[disabled]:hover,.bk-root .bk-btn-success[disabled]:focus,.bk-root .bk-btn-success[disabled]:active,.bk-root .bk-btn-success[disabled].bk-active{background-color:#667b66;border-color:#4cae4c;}.bk-root .bk-btn-warning{color:#fff;background-color:#f0ad4e;border-color:#eea236;}.bk-root .bk-btn-warning:hover{background-color:#eea43b;border-color:#e89014;}.bk-root .bk-btn-warning.bk-active{background-color:#ed9c28;border-color:#d58512;}.bk-root .bk-btn-warning[disabled],.bk-root .bk-btn-warning[disabled]:hover,.bk-root .bk-btn-warning[disabled]:focus,.bk-root .bk-btn-warning[disabled]:active,.bk-root .bk-btn-warning[disabled].bk-active{background-color:#c89143;border-color:#eea236;}.bk-root .bk-btn-danger{color:#fff;background-color:#d9534f;border-color:#d43f3a;}.bk-root .bk-btn-danger:hover{background-color:#d5433e;border-color:#bd2d29;}.bk-root .bk-btn-danger.bk-active{background-color:#d2322d;border-color:#ac2925;}.bk-root .bk-btn-danger[disabled],.bk-root .bk-btn-danger[disabled]:hover,.bk-root .bk-btn-danger[disabled]:focus,.bk-root .bk-btn-danger[disabled]:active,.bk-root .bk-btn-danger[disabled].bk-active{background-color:#a55350;border-color:#d43f3a;}.bk-root .bk-btn-light{color:#333;background-color:#fff;border-color:#ccc;border-color:transparent;}.bk-root .bk-btn-light:hover{background-color:#f5f5f5;border-color:#b8b8b8;}.bk-root .bk-btn-light.bk-active{background-color:#ebebeb;border-color:#adadad;}.bk-root .bk-btn-light[disabled],.bk-root .bk-btn-light[disabled]:hover,.bk-root .bk-btn-light[disabled]:focus,.bk-root .bk-btn-light[disabled]:active,.bk-root .bk-btn-light[disabled].bk-active{background-color:#e6e6e6;border-color:#ccc;}.bk-root .bk-btn-group{height:100%;display:flex;display:-webkit-flex;flex-wrap:nowrap;-webkit-flex-wrap:nowrap;align-items:center;-webkit-align-items:center;flex-direction:row;-webkit-flex-direction:row;}.bk-root .bk-btn-group > .bk-btn{flex-grow:1;-webkit-flex-grow:1;}.bk-root .bk-btn-group > .bk-btn + .bk-btn{margin-left:-1px;}.bk-root .bk-btn-group > .bk-btn:first-child:not(:last-child){border-bottom-right-radius:0;border-top-right-radius:0;}.bk-root .bk-btn-group > .bk-btn:not(:first-child):last-child{border-bottom-left-radius:0;border-top-left-radius:0;}.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child){border-radius:0;}.bk-root .bk-btn-group .bk-dropdown-toggle{flex:0 0 0;-webkit-flex:0 0 0;padding:6px 6px;}\"},\n", " function _(t,e,i,o,n){o();const _=t(320);class s extends _.ColumnView{}i.WidgetBoxView=s,s.__name__=\"WidgetBoxView\";class d extends _.Column{constructor(t){super(t)}static init_WidgetBox(){this.prototype.default_view=s}}i.WidgetBox=d,d.__name__=\"WidgetBox\",d.init_WidgetBox()},\n", " function _(p,o,t,a,n){a(),n(\"MapOptions\",p(331).MapOptions),n(\"GMapOptions\",p(331).GMapOptions),n(\"GMapPlot\",p(331).GMapPlot),n(\"Plot\",p(332).Plot)},\n", " function _(t,i,n,e,a){e();const s=t(332),o=t(53),p=t(156),_=t(337);a(\"GMapPlotView\",_.GMapPlotView);class l extends o.Model{constructor(t){super(t)}static init_MapOptions(){this.define((({Int:t,Number:i})=>({lat:[i],lng:[i],zoom:[t,12]})))}}n.MapOptions=l,l.__name__=\"MapOptions\",l.init_MapOptions();class r extends l{constructor(t){super(t)}static init_GMapOptions(){this.define((({Boolean:t,Int:i,String:n})=>({map_type:[n,\"roadmap\"],scale_control:[t,!1],styles:[n],tilt:[i,45]})))}}n.GMapOptions=r,r.__name__=\"GMapOptions\",r.init_GMapOptions();class c extends s.Plot{constructor(t){super(t),this.use_map=!0}static init_GMapPlot(){this.prototype.default_view=_.GMapPlotView,this.define((({String:t,Ref:i})=>({map_options:[i(r)],api_key:[t],api_version:[t,\"3.43\"]}))),this.override({x_range:()=>new p.Range1d,y_range:()=>new p.Range1d})}}n.GMapPlot=c,c.__name__=\"GMapPlot\",c.init_GMapPlot()},\n", " function _(e,t,i,n,r){n();const o=e(1),a=o.__importStar(e(48)),s=o.__importStar(e(18)),l=e(15),_=e(20),h=e(9),c=e(13),d=e(8),u=e(319),g=e(163),p=e(316),f=e(40),b=e(138),w=e(218),m=e(235),y=e(105),v=e(146),x=e(130),A=e(41),R=e(62),S=e(61),P=e(159),D=e(333);r(\"PlotView\",D.PlotView);class L extends u.LayoutDOM{constructor(e){super(e),this.use_map=!1}static init_Plot(){this.prototype.default_view=D.PlotView,this.mixins([[\"outline_\",a.Line],[\"background_\",a.Fill],[\"border_\",a.Fill]]),this.define((({Boolean:e,Number:t,String:i,Array:n,Dict:r,Or:o,Ref:a,Null:l,Nullable:h})=>({toolbar:[a(m.Toolbar),()=>new m.Toolbar],toolbar_location:[h(_.Location),\"right\"],toolbar_sticky:[e,!0],plot_width:[s.Alias(\"width\")],plot_height:[s.Alias(\"height\")],frame_width:[h(t),null],frame_height:[h(t),null],title:[o(a(b.Title),i,l),()=>new b.Title({text:\"\"})],title_location:[h(_.Location),\"above\"],above:[n(o(a(f.Annotation),a(g.Axis))),[]],below:[n(o(a(f.Annotation),a(g.Axis))),[]],left:[n(o(a(f.Annotation),a(g.Axis))),[]],right:[n(o(a(f.Annotation),a(g.Axis))),[]],center:[n(o(a(f.Annotation),a(p.Grid))),[]],renderers:[n(a(A.Renderer)),[]],x_range:[a(y.Range),()=>new P.DataRange1d],extra_x_ranges:[r(a(y.Range)),{}],y_range:[a(y.Range),()=>new P.DataRange1d],extra_y_ranges:[r(a(y.Range)),{}],x_scale:[a(v.Scale),()=>new w.LinearScale],y_scale:[a(v.Scale),()=>new w.LinearScale],lod_factor:[t,10],lod_interval:[t,300],lod_threshold:[h(t),2e3],lod_timeout:[t,500],hidpi:[e,!0],output_backend:[_.OutputBackend,\"canvas\"],min_border:[h(t),5],min_border_top:[h(t),null],min_border_left:[h(t),null],min_border_bottom:[h(t),null],min_border_right:[h(t),null],inner_width:[t,0],inner_height:[t,0],outer_width:[t,0],outer_height:[t,0],match_aspect:[e,!1],aspect_scale:[t,1],reset_policy:[_.ResetPolicy,\"standard\"]}))),this.override({width:600,height:600,outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})}_doc_attached(){super._doc_attached(),this._push_changes([[this.properties.inner_height,null,this.inner_height],[this.properties.inner_width,null,this.inner_width]])}initialize(){super.initialize(),this.reset=new l.Signal0(this,\"reset\");for(const e of c.values(this.extra_x_ranges).concat(this.x_range)){let t=e.plots;d.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}for(const e of c.values(this.extra_y_ranges).concat(this.y_range)){let t=e.plots;d.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}}add_layout(e,t=\"center\"){const i=this.properties[t].get_value();this.setv({[t]:[...i,e]})}remove_layout(e){const t=t=>{h.remove_by(t,(t=>t==e))};t(this.left),t(this.right),t(this.above),t(this.below),t(this.center)}get data_renderers(){return this.renderers.filter((e=>e instanceof R.DataRenderer))}add_renderers(...e){this.renderers=this.renderers.concat(e)}add_glyph(e,t=new x.ColumnDataSource,i={}){const n=new S.GlyphRenderer(Object.assign(Object.assign({},i),{data_source:t,glyph:e}));return this.add_renderers(n),n}add_tools(...e){this.toolbar.tools=this.toolbar.tools.concat(e)}get panels(){return[...this.side_panels,...this.center]}get side_panels(){const{above:e,below:t,left:i,right:n}=this;return h.concat([e,t,i,n])}}i.Plot=L,L.__name__=\"Plot\",L.init_Plot()},\n", " function _(e,t,i,s,a){s();const n=e(1),o=e(144),l=e(262),r=e(319),_=e(40),h=e(138),d=e(163),u=e(234),c=e(264),p=e(122),v=e(45),b=e(19),g=e(334),m=e(8),w=e(9),y=e(249),f=e(222),x=e(225),z=e(223),k=e(140),q=e(99),M=e(335),V=e(336),P=e(28);class R extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new q.BBox,this._inner_bbox=new q.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0}get canvas(){return this.canvas_view}get state(){return this._state_manager}set invalidate_dataranges(e){this._range_manager.invalidate_dataranges=e}renderer_view(e){const t=this.renderer_views.get(e);if(null==t)for(const[,t]of this.renderer_views){const i=t.renderer_view(e);if(null!=i)return i}return t}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(e=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||e||this.request_paint(\"everything\")}request_render(){this.request_paint(\"everything\")}request_paint(e){this.invalidate_painters(e),this.schedule_paint()}invalidate_painters(e){if(\"everything\"==e)this._invalidate_all=!0;else if(m.isArray(e))for(const t of e)this._invalidated_painters.add(t);else this._invalidated_painters.add(e)}schedule_paint(){if(!this.is_paused){const e=this.throttled_paint();this._ready=this._ready.then((()=>e))}}request_layout(){this._needs_layout=!0,this.request_paint(\"everything\")}reset(){\"standard\"==this.model.reset_policy&&(this.state.clear(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new c.Reset)}remove(){p.remove_views(this.renderer_views),p.remove_views(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.lod_started=!1,this.visuals=new v.Visuals(this),this._initial_state={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.renderer_views=new Map,this.tool_views=new Map,this.frame=new o.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges),this._range_manager=new M.RangeManager(this),this._state_manager=new V.StateManager(this,this._initial_state),this.throttled_paint=g.throttle((()=>this.repaint()),1e3/60);const{title_location:e,title:t}=this.model;null!=e&&null!=t&&(this._title=t instanceof h.Title?t:new h.Title({text:t}));const{toolbar_location:i,toolbar:s}=this.model;null!=i&&null!=s&&(this._toolbar=new u.ToolbarPanel({toolbar:s}),s.toolbar_location=i)}async lazy_initialize(){await super.lazy_initialize();const{hidpi:e,output_backend:t}=this.model,i=new l.Canvas({hidpi:e,output_backend:t});this.canvas_view=await p.build_view(i,{parent:this}),this.canvas_view.plot_views=[this],await this.build_renderer_views(),await this.build_tool_views(),this._range_manager.update_dataranges(),this.unpause(!0),b.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){var e,t,i,s,a;this.layout=new x.BorderLayout,this.layout.set_sizing(this.box_sizing());const n=w.copy(this.model.above),o=w.copy(this.model.below),l=w.copy(this.model.left),r=w.copy(this.model.right),d=e=>{switch(e){case\"above\":return n;case\"below\":return o;case\"left\":return l;case\"right\":return r}},{title_location:c,title:p}=this.model;null!=c&&null!=p&&d(c).push(this._title);const{toolbar_location:v,toolbar:b}=this.model;if(null!=v&&null!=b){const e=d(v);let t=!0;if(this.model.toolbar_sticky)for(let i=0;i{var i;const s=this.renderer_view(t);return s.panel=new k.Panel(e),null===(i=s.update_layout)||void 0===i||i.call(s),s.layout},y=(e,t)=>{const i=\"above\"==e||\"below\"==e,s=[];for(const a of t)if(m.isArray(a)){const t=a.map((t=>{const s=g(e,t);if(t instanceof u.ToolbarPanel){const e=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[e]:\"min\"}))}return s}));let n;i?(n=new z.Row(t),n.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(n=new z.Column(t),n.set_sizing({width_policy:\"min\",height_policy:\"max\"})),n.absolute=!0,s.push(n)}else s.push(g(e,a));return s},q=null!==(e=this.model.min_border)&&void 0!==e?e:0;this.layout.min_border={left:null!==(t=this.model.min_border_left)&&void 0!==t?t:q,top:null!==(i=this.model.min_border_top)&&void 0!==i?i:q,right:null!==(s=this.model.min_border_right)&&void 0!==s?s:q,bottom:null!==(a=this.model.min_border_bottom)&&void 0!==a?a:q};const M=new f.NodeLayout,V=new f.VStack,P=new f.VStack,R=new f.HStack,O=new f.HStack;M.absolute=!0,V.absolute=!0,P.absolute=!0,R.absolute=!0,O.absolute=!0,M.children=this.model.center.filter((e=>e instanceof _.Annotation)).map((e=>{var t;const i=this.renderer_view(e);return null===(t=i.update_layout)||void 0===t||t.call(i),i.layout})).filter((e=>null!=e));const{frame_width:S,frame_height:j}=this.model;M.set_sizing(Object.assign(Object.assign({},null!=S?{width_policy:\"fixed\",width:S}:{width_policy:\"fit\"}),null!=j?{height_policy:\"fixed\",height:j}:{height_policy:\"fit\"})),M.on_resize((e=>this.frame.set_geometry(e))),V.children=w.reversed(y(\"above\",n)),P.children=y(\"below\",o),R.children=w.reversed(y(\"left\",l)),O.children=y(\"right\",r),V.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),P.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),R.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),O.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.center_panel=M,this.layout.top_panel=V,this.layout.bottom_panel=P,this.layout.left_panel=R,this.layout.right_panel=O}get axis_views(){const e=[];for(const[,t]of this.renderer_views)t instanceof d.AxisView&&e.push(t);return e}set_toolbar_visibility(e){for(const t of this.visibility_callbacks)t(e)}update_range(e,t){this.pause(),this._range_manager.update(e,t),this.unpause()}reset_range(){this.update_range(null)}get_selection(){const e=new Map;for(const t of this.model.data_renderers){const{selected:i}=t.selection_manager.source;e.set(t,i)}return e}update_selection(e){for(const t of this.model.data_renderers){const i=t.selection_manager.source;if(null!=e){const s=e.get(t);null!=s&&i.selected.update(s,!0)}else i.selection_manager.clear()}}reset_selection(){this.update_selection(null)}_invalidate_layout(){(()=>{var e;for(const t of this.model.side_panels){const i=this.renderer_views.get(t);if(null===(e=i.layout)||void 0===e?void 0:e.has_size_changed())return this.invalidate_painters(i),!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map((e=>this.renderer_views.get(e)))}*_compute_renderers(){const{above:e,below:t,left:i,right:s,center:a,renderers:n}=this.model;yield*n,yield*e,yield*t,yield*i,yield*s,yield*a,null!=this._title&&(yield this._title),null!=this._toolbar&&(yield this._toolbar);for(const e of this.model.toolbar.tools)null!=e.overlay&&(yield e.overlay),yield*e.synthetic_renderers}async build_renderer_views(){this.computed_renderers=[...this._compute_renderers()],await p.build_views(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const e=this.model.toolbar.tools;(await p.build_views(this.tool_views,e,{parent:this})).map((e=>this.canvas_view.ui_event_bus.register_tool(e)))}connect_signals(){super.connect_signals();const{x_ranges:e,y_ranges:t}=this.frame;for(const[,t]of e)this.connect(t.change,(()=>{this._needs_layout=!0,this.request_paint(\"everything\")}));for(const[,e]of t)this.connect(e.change,(()=>{this._needs_layout=!0,this.request_paint(\"everything\")}));const{above:i,below:s,left:a,right:n,center:o,renderers:l}=this.model.properties;this.on_change([i,s,a,n,o,l],(async()=>await this.build_renderer_views())),this.connect(this.model.toolbar.properties.tools.change,(async()=>{await this.build_renderer_views(),await this.build_tool_views()})),this.connect(this.model.change,(()=>this.request_paint(\"everything\"))),this.connect(this.model.reset,(()=>this.reset()))}has_finished(){if(!super.has_finished())return!1;if(this.model.visible)for(const[,e]of this.renderer_views)if(!e.has_finished())return!1;return!0}after_layout(){var e;super.after_layout();for(const[,t]of this.renderer_views)t instanceof _.AnnotationView&&(null===(e=t.after_layout)||void 0===e||e.call(t));if(this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame.bbox.width),inner_height:Math.round(this.frame.bbox.height),outer_width:Math.round(this.layout.bbox.width),outer_height:Math.round(this.layout.bbox.height)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this._range_manager.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:e,height:t}=this.layout.bbox;this.canvas_view.resize(e,t),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}const{inner_bbox:t}=this.layout;this._inner_bbox.equals(t)||(this._inner_bbox=t,this._needs_paint=!0),this._needs_paint&&this.paint()}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){var e;if(this.is_paused||!this.model.visible)return;b.logger.trace(`PlotView.paint() for ${this.model.id}`);const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(),this.request_paint(\"everything\")}),this.model.lod_timeout):t.interactive_stop()}this._range_manager.invalidate_dataranges&&(this._range_manager.update_dataranges(),this._invalidate_layout());let i=!1,s=!1;if(this._invalidate_all)i=!0,s=!0;else for(const e of this._invalidated_painters){const{level:t}=e.model;if(\"overlay\"!=t?i=!0:s=!0,i&&s)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const a=[this.frame.bbox.left,this.frame.bbox.top,this.frame.bbox.width,this.frame.bbox.height],{primary:n,overlays:o}=this.canvas_view;i&&(n.prepare(),this.canvas_view.prepare_webgl(a),this._map_hook(n.ctx,a),this._paint_empty(n.ctx,a),this._paint_outline(n.ctx,a),this._paint_levels(n.ctx,\"image\",a,!0),this._paint_levels(n.ctx,\"underlay\",a,!0),this._paint_levels(n.ctx,\"glyph\",a,!0),this._paint_levels(n.ctx,\"guide\",a,!1),this._paint_levels(n.ctx,\"annotation\",a,!1),n.finish()),(s||P.settings.wireframe)&&(o.prepare(),this._paint_levels(o.ctx,\"overlay\",a,!1),P.settings.wireframe&&this._paint_layout(o.ctx,this.layout),o.finish()),null==this._initial_state.range&&(this._initial_state.range=null!==(e=this._range_manager.compute_initial())&&void 0!==e?e:void 0),this._needs_paint=!1}_paint_levels(e,t,i,s){for(const a of this.computed_renderers){if(a.level!=t)continue;const n=this.renderer_views.get(a);e.save(),(s||n.needs_clip)&&(e.beginPath(),e.rect(...i),e.clip()),n.render(),e.restore(),n.has_webgl&&n.needs_webgl_blit&&this.canvas_view.blit_webgl(e)}}_paint_layout(e,t){const{x:i,y:s,width:a,height:n}=t.bbox;e.strokeStyle=\"blue\",e.strokeRect(i,s,a,n);for(const a of t)e.save(),t.absolute||e.translate(i,s),this._paint_layout(e,a),e.restore()}_map_hook(e,t){}_paint_empty(e,t){const[i,s,a,n]=[0,0,this.layout.bbox.width,this.layout.bbox.height],[o,l,r,_]=t;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(e),e.fillRect(i,s,a,n),e.clearRect(o,l,r,_)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fillRect(o,l,r,_))}_paint_outline(e,t){if(this.visuals.outline_line.doit){e.save(),this.visuals.outline_line.set_value(e);let[i,s,a,n]=t;i+a==this.layout.bbox.width&&(a-=1),s+n==this.layout.bbox.height&&(n-=1),e.strokeRect(i,s,a,n),e.restore()}}to_blob(){return this.canvas_view.to_blob()}export(e,t=!0){const i=\"png\"==e?\"canvas\":\"svg\",s=new y.CanvasLayer(i,t),{width:a,height:n}=this.layout.bbox;s.resize(a,n);const{canvas:o}=this.canvas_view.compose();return s.ctx.drawImage(o,0,0),s}serializable_state(){const e=super.serializable_state(),{children:t}=e,i=n.__rest(e,[\"children\"]),s=this.get_renderer_views().map((e=>e.serializable_state())).filter((e=>null!=e.bbox));return Object.assign(Object.assign({},i),{children:[...null!=t?t:[],...s]})}}i.PlotView=R,R.__name__=\"PlotView\"},\n", " function _(t,n,e,o,u){o(),e.throttle=function(t,n){let e=null,o=0,u=!1;return function(){return new Promise(((r,i)=>{const l=function(){o=Date.now(),e=null,u=!1;try{t(),r()}catch(t){i(t)}},a=Date.now(),c=n-(a-o);c<=0&&!u?(null!=e&&clearTimeout(e),u=!0,requestAnimationFrame(l)):e||u?r():e=setTimeout((()=>requestAnimationFrame(l)),c)}))}}},\n", " function _(t,n,e,s,a){s();const o=t(159),r=t(19);class l{constructor(t){this.parent=t,this.invalidate_dataranges=!0}get frame(){return this.parent.frame}update(t,n){const{x_ranges:e,y_ranges:s}=this.frame;if(null==t){for(const[,t]of e)t.reset();for(const[,t]of s)t.reset();this.update_dataranges()}else{const a=[];for(const[n,s]of e)a.push([s,t.xrs.get(n)]);for(const[n,e]of s)a.push([e,t.yrs.get(n)]);(null==n?void 0:n.scrolling)&&this._update_ranges_together(a),this._update_ranges_individually(a,n)}}reset(){this.update(null)}update_dataranges(){const t=new Map,n=new Map;let e=!1;for(const[,t]of this.frame.x_ranges)t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(e=!0);for(const[,t]of this.frame.y_ranges)t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(e=!0);for(const s of this.parent.model.data_renderers){const a=this.parent.renderer_view(s);if(null==a)continue;const o=a.glyph_view.bounds();if(null!=o&&t.set(s,o),e){const t=a.glyph_view.log_bounds();null!=t&&n.set(s,t)}}let s=!1,a=!1;const{width:l,height:i}=this.frame.bbox;let d;!1!==this.parent.model.match_aspect&&0!=l&&0!=i&&(d=1/this.parent.model.aspect_scale*(l/i));for(const[,e]of this.frame.x_ranges){if(e instanceof o.DataRange1d){const a=\"log\"==e.scale_hint?n:t;e.update(a,0,this.parent.model,d),e.follow&&(s=!0)}null!=e.bounds&&(a=!0)}for(const[,e]of this.frame.y_ranges){if(e instanceof o.DataRange1d){const a=\"log\"==e.scale_hint?n:t;e.update(a,1,this.parent.model,d),e.follow&&(s=!0)}null!=e.bounds&&(a=!0)}if(s&&a){r.logger.warn(\"Follow enabled so bounds are unset.\");for(const[,t]of this.frame.x_ranges)t.bounds=null;for(const[,t]of this.frame.y_ranges)t.bounds=null}this.invalidate_dataranges=!1}compute_initial(){let t=!0;const{x_ranges:n,y_ranges:e}=this.frame,s=new Map,a=new Map;for(const[e,a]of n){const{start:n,end:o}=a;if(null==n||null==o||isNaN(n+o)){t=!1;break}s.set(e,{start:n,end:o})}if(t)for(const[n,s]of e){const{start:e,end:o}=s;if(null==e||null==o||isNaN(e+o)){t=!1;break}a.set(n,{start:e,end:o})}return t?{xrs:s,yrs:a}:(r.logger.warn(\"could not set initial ranges\"),null)}_update_ranges_together(t){let n=1;for(const[e,s]of t)n=Math.min(n,this._get_weight_to_constrain_interval(e,s));if(n<1)for(const[e,s]of t)s.start=n*s.start+(1-n)*e.start,s.end=n*s.end+(1-n)*e.end}_update_ranges_individually(t,n){const e=!!(null==n?void 0:n.panning),s=!!(null==n?void 0:n.scrolling);let a=!1;for(const[n,o]of t){if(!s){const t=this._get_weight_to_constrain_interval(n,o);t<1&&(o.start=t*o.start+(1-t)*n.start,o.end=t*o.end+(1-t)*n.end)}if(null!=n.bounds&&\"auto\"!=n.bounds){const[t,r]=n.bounds,l=Math.abs(o.end-o.start);n.is_reversed?(null!=t&&t>=o.end&&(a=!0,o.end=t,(e||s)&&(o.start=t+l)),null!=r&&r<=o.start&&(a=!0,o.start=r,(e||s)&&(o.end=r-l))):(null!=t&&t>=o.start&&(a=!0,o.start=t,(e||s)&&(o.end=t+l)),null!=r&&r<=o.end&&(a=!0,o.end=r,(e||s)&&(o.start=r-l)))}}if(!(s&&a&&(null==n?void 0:n.maintain_focus)))for(const[n,e]of t)n.have_updated_interactively=!0,n.start==e.start&&n.end==e.end||n.setv(e)}_get_weight_to_constrain_interval(t,n){const{min_interval:e}=t;let{max_interval:s}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[n,e]=t.bounds;if(null!=n&&null!=e){const t=Math.abs(e-n);s=null!=s?Math.min(s,t):t}}let a=1;if(null!=e||null!=s){const o=Math.abs(t.end-t.start),r=Math.abs(n.end-n.start);null!=e&&e>0&&r0&&r>s&&(a=(s-o)/(r-o)),a=Math.max(0,Math.min(1,a))}return a}}e.RangeManager=l,l.__name__=\"RangeManager\"},\n", " function _(t,i,s,e,n){e();const h=t(15);class a{constructor(t,i){this.parent=t,this.initial_state=i,this.changed=new h.Signal0(this.parent,\"state_changed\"),this.history=[],this.index=-1}_do_state_change(t){const i=null!=this.history[t]?this.history[t].state:this.initial_state;null!=i.range&&this.parent.update_range(i.range),null!=i.selection&&this.parent.update_selection(i.selection)}push(t,i){const{history:s,index:e}=this,n=null!=s[e]?s[e].state:{},h=Object.assign(Object.assign(Object.assign({},this.initial_state),n),i);this.history=this.history.slice(0,this.index+1),this.history.push({type:t,state:h}),this.index=this.history.length-1,this.changed.emit()}clear(){this.history=[],this.index=-1,this.changed.emit()}undo(){this.can_undo&&(this.index-=1,this._do_state_change(this.index),this.changed.emit())}redo(){this.can_redo&&(this.index+=1,this._do_state_change(this.index),this.changed.emit())}get can_undo(){return this.index>=0}get can_redo(){return this.indexm.emit();const s=encodeURIComponent,o=document.createElement(\"script\");o.type=\"text/javascript\",o.src=`https://maps.googleapis.com/maps/api/js?v=${s(e)}&key=${s(t)}&callback=_bokeh_gmaps_callback`,document.body.appendChild(o)}(t,e)}m.connect((()=>this.request_paint(\"everything\")))}this.unpause()}remove(){p.remove(this.map_el),super.remove()}update_range(t,e){var s,o;if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null,e);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(null!==(s=t.sdx)&&void 0!==s?s:0,null!==(o=t.sdy)&&void 0!==o?o:0),super.update_range(t,e);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t,e);const s=t.factor<0?-1:1,o=this.map.getZoom(),i=o+s;if(i>=2){this.map.setZoom(i);const[t,e,,]=this._get_projected_bounds();e-t<0&&this.map.setZoom(o)}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=p.div({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",(()=>this._set_bokeh_ranges())),t.event.addListener(this.map,\"bounds_changed\",(()=>this._set_bokeh_ranges())),t.event.addListenerOnce(this.map,\"tilesloaded\",(()=>this._render_finished())),this.connect(this.model.properties.map_options.change,(()=>this._update_options())),this.connect(this.model.map_options.properties.styles.change,(()=>this._update_styles())),this.connect(this.model.map_options.properties.lat.change,(()=>this._update_center(\"lat\"))),this.connect(this.model.map_options.properties.lng.change,(()=>this._update_center(\"lng\"))),this.connect(this.model.map_options.properties.zoom.change,(()=>this._update_zoom())),this.connect(this.model.map_options.properties.map_type.change,(()=>this._update_map_type())),this.connect(this.model.map_options.properties.scale_control.change,(()=>this._update_scale_control())),this.connect(this.model.map_options.properties.tilt.change,(()=>this._update_tilt()))}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,o]=this._get_latlon_bounds(),[i,a]=l.wgs84_mercator.compute(t,s),[n,p]=l.wgs84_mercator.compute(e,o);return[i,n,a,p]}_set_bokeh_ranges(){const[t,e,s,o]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:o})}_update_center(t){const e=this.map.getCenter().toJSON();e[t]=this.model.map_options[t],this.map.setCenter(e),this._set_bokeh_ranges()}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,o,i]=e;this.map_el.style.top=`${s}px`,this.map_el.style.left=`${t}px`,this.map_el.style.width=`${o}px`,this.map_el.style.height=`${i}px`}}_paint_empty(t,e){const s=this.layout.bbox.width,o=this.layout.bbox.height,[i,a,n,p]=e;t.clearRect(0,0,s,o),t.beginPath(),t.moveTo(0,0),t.lineTo(0,o),t.lineTo(s,o),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(i,a),t.lineTo(i+n,a),t.lineTo(i+n,a+p),t.lineTo(i,a+p),t.lineTo(i,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=_.color2css(this.model.border_fill_color),t.fill())}}s.GMapPlotView=d,d.__name__=\"GMapPlotView\"},\n", " function _(t,_,n,o,r){o();t(1).__exportStar(t(169),n)},\n", " function _(e,r,d,n,R){n(),R(\"GlyphRenderer\",e(61).GlyphRenderer),R(\"GraphRenderer\",e(123).GraphRenderer),R(\"GuideRenderer\",e(164).GuideRenderer),R(\"Renderer\",e(41).Renderer)},\n", " function _(e,t,n,o,c){o();e(1).__exportStar(e(129),n),c(\"Selection\",e(59).Selection)},\n", " function _(a,e,S,o,r){o(),r(\"ServerSentDataSource\",a(342).ServerSentDataSource),r(\"AjaxDataSource\",a(344).AjaxDataSource),r(\"ColumnDataSource\",a(130).ColumnDataSource),r(\"ColumnarDataSource\",a(57).ColumnarDataSource),r(\"CDSView\",a(120).CDSView),r(\"DataSource\",a(58).DataSource),r(\"GeoJSONDataSource\",a(345).GeoJSONDataSource),r(\"WebDataSource\",a(343).WebDataSource)},\n", " function _(e,t,i,a,s){a();const n=e(343);class r extends n.WebDataSource{constructor(e){super(e),this.initialized=!1}setup(){if(!this.initialized){this.initialized=!0;new EventSource(this.data_url).onmessage=e=>{var t;this.load_data(JSON.parse(e.data),this.mode,null!==(t=this.max_size)&&void 0!==t?t:void 0)}}}}i.ServerSentDataSource=r,r.__name__=\"ServerSentDataSource\"},\n", " function _(t,e,a,n,s){n();const r=t(130),i=t(20);class l extends r.ColumnDataSource{constructor(t){super(t)}get_column(t){const e=this.data[t];return null!=e?e:[]}get_length(){var t;return null!==(t=super.get_length())&&void 0!==t?t:0}initialize(){super.initialize(),this.setup()}load_data(t,e,a){const{adapter:n}=this;let s;switch(s=null!=n?n.execute(this,{response:t}):t,e){case\"replace\":this.data=s;break;case\"append\":{const t=this.data;for(const e of this.columns()){const n=Array.from(t[e]),r=Array.from(s[e]),i=n.concat(r);s[e]=null!=a?i.slice(-a):i}this.data=s;break}}}static init_WebDataSource(){this.define((({Any:t,Int:e,String:a,Nullable:n})=>({max_size:[n(e),null],mode:[i.UpdateMode,\"replace\"],adapter:[n(t),null],data_url:[a]})))}}a.WebDataSource=l,l.__name__=\"WebDataSource\",l.init_WebDataSource()},\n", " function _(t,e,i,s,a){s();const n=t(343),r=t(20),o=t(19),l=t(13);class d extends n.WebDataSource{constructor(t){super(t),this.interval=null,this.initialized=!1}static init_AjaxDataSource(){this.define((({Boolean:t,Int:e,String:i,Dict:s,Nullable:a})=>({polling_interval:[a(e),null],content_type:[i,\"application/json\"],http_headers:[s(i),{}],method:[r.HTTPMethod,\"POST\"],if_modified:[t,!1]})))}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),null!=this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=null,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",(()=>this.do_load(s,t,null!=e?e:void 0))),s.addEventListener(\"error\",(()=>this.do_error(s))),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const[i,s]of l.entries(e))t.setRequestHeader(i,s);return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){o.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=d,d.__name__=\"AjaxDataSource\",d.init_AjaxDataSource()},\n", " function _(e,t,o,r,n){r();const s=e(57),a=e(19),i=e(9),l=e(13);function c(e){return null!=e?e:NaN}const{hasOwnProperty:_}=Object.prototype;class g extends s.ColumnarDataSource{constructor(e){super(e)}static init_GeoJSONDataSource(){this.define((({String:e})=>({geojson:[e]}))),this.internal((({Dict:e,Arrayable:t})=>({data:[e(t),{}]})))}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,(()=>this._update_data()))}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return i.range(0,e).map((e=>[]))}_get_new_nan_array(e){return i.range(0,e).map((e=>NaN))}_add_properties(e,t,o,r){var n;const s=null!==(n=e.properties)&&void 0!==n?n:{};for(const[e,n]of l.entries(s))_.call(t,e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=c(n)}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=c(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e1&&a.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e1&&a.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const s=n.reduce(r);for(let e=0;e({use_latlon:[e,!1]})))}get_image_url(e,t,r){const i=this.string_lookup_replace(this.url,this.extra_url_vars);let o,l,n,s;return this.use_latlon?[l,s,o,n]=this.get_tile_geographic_bounds(e,t,r):[l,s,o,n]=this.get_tile_meter_bounds(e,t,r),i.replace(\"{XMIN}\",l.toString()).replace(\"{YMIN}\",s.toString()).replace(\"{XMAX}\",o.toString()).replace(\"{YMAX}\",n.toString())}}r.BBoxTileSource=n,n.__name__=\"BBoxTileSource\",n.init_BBoxTileSource()},\n", " function _(t,e,i,_,s){_();const r=t(349),o=t(9),n=t(350);class l extends r.TileSource{constructor(t){super(t)}static init_MercatorTileSource(){this.define((({Boolean:t})=>({snap_to_zoom:[t,!1],wrap_around:[t,!0]}))),this.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})}initialize(){super.initialize(),this._resolutions=o.range(this.min_zoom,this.max_zoom+1).map((t=>this.get_resolution(t)))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);i=0===i?i:i-1;return[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<0;s--){const i=1<0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=l,l.__name__=\"MercatorTileSource\",l.init_MercatorTileSource()},\n", " function _(e,t,r,i,n){i();const l=e(53),s=e(13);class a extends l.Model{constructor(e){super(e)}static init_TileSource(){this.define((({Number:e,String:t,Dict:r,Nullable:i})=>({url:[t,\"\"],tile_size:[e,256],max_zoom:[e,30],min_zoom:[e,0],extra_url_vars:[r(t),{}],attribution:[t,\"\"],x_origin_offset:[e],y_origin_offset:[e],initial_resolution:[i(e),null]})))}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,(()=>this._clear_cache()))}string_lookup_replace(e,t){let r=e;for(const[e,i]of s.entries(t))r=r.replace(`{${e}}`,i);return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map((e=>parseInt(e)));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,l]=t,s=(n-r)/2+r,a=(l-i)/2+i;e.sort((function(e,t){return Math.sqrt((s-e[0])**2+(a-e[1])**2)-Math.sqrt((s-t[0])**2+(a-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=a,a.__name__=\"TileSource\",a.init_TileSource()},\n", " function _(t,e,r,n,o){n();const c=t(65);function _(t,e){return c.wgs84_mercator.compute(t,e)}function g(t,e){return c.wgs84_mercator.invert(t,e)}r.geographic_to_meters=_,r.meters_to_geographic=g,r.geographic_extent_to_meters=function(t){const[e,r,n,o]=t,[c,g]=_(e,r),[i,u]=_(n,o);return[c,g,i,u]},r.meters_extent_to_geographic=function(t){const[e,r,n,o]=t,[c,_]=g(e,r),[i,u]=g(n,o);return[c,_,i,u]}},\n", " function _(e,t,r,s,_){s();const o=e(348);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const s=this.string_lookup_replace(this.url,this.extra_url_vars),[_,o,c]=this.tms_to_wmts(e,t,r),i=this.tile_xyz_to_quadkey(_,o,c);return s.replace(\"{Q}\",i)}}r.QUADKEYTileSource=c,c.__name__=\"QUADKEYTileSource\"},\n", " function _(t,e,i,s,_){s();const n=t(1),a=t(349),h=t(353),r=t(41),o=t(156),l=t(43),d=t(296),m=t(9),c=t(8),p=n.__importStar(t(354));class g extends r.RendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render())),this.connect(this.model.tile_source.change,(()=>this.request_render()))}styles(){return[...super.styles(),p.default]}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.layer.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&l.removeElement(this.attribution_el);const{attribution:t}=this.model.tile_source;if(c.isString(t)&&t.length>0){const{layout:e,frame:i}=this.plot_view,s=e.bbox.width-i.bbox.right,_=e.bbox.height-i.bbox.bottom,n=i.bbox.width;this.attribution_el=l.div({class:p.tile_attribution,style:{position:\"absolute\",right:`${s}px`,bottom:`${_}px`,\"max-width\":n-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=t,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const t=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame.bbox.height,this.map_frame.bbox.width),e=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame.bbox.height,this.map_frame.bbox.width,t);this.x_range.start=e[0],this.y_range.start=e[1],this.x_range.end=e[2],this.y_range.end=e[3],this.x_range instanceof o.Range1d&&(this.x_range.reset_start=e[0],this.x_range.reset_end=e[2]),this.y_range instanceof o.Range1d&&(this.y_range.reset_start=e[1],this.y_range.reset_end=e[3]),this._update_attribution()}_create_tile(t,e,i,s,_=!1){const[n,a,h]=this.model.tile_source.normalize_xyz(t,e,i),r={img:void 0,tile_coords:[t,e,i],normalized_coords:[n,a,h],quadkey:this.model.tile_source.tile_xyz_to_quadkey(t,e,i),cache_key:this.model.tile_source.tile_xyz_to_key(t,e,i),bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]},o=this.model.tile_source.get_image_url(n,a,h);new d.ImageLoader(o,{loaded:t=>{Object.assign(r,{img:t,loaded:!0}),_?(r.finished=!0,this.notify_finished()):this.request_render()},failed(){r.finished=!0}}),this.model.tile_source.tiles.set(r.cache_key,r),this._tiles.push(r)}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame.bbox.height||this._last_width!==this.map_frame.bbox.width){const t=this.get_extent(),e=this.model.tile_source.get_level_by_extent(t,this.map_frame.bbox.height,this.map_frame.bbox.width),i=this.model.tile_source.snap_to_zoom_level(t,this.map_frame.bbox.height,this.map_frame.bbox.width,e);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame.bbox.height,this._last_width=this.map_frame.bbox.width}}has_finished(){if(!super.has_finished())return!1;if(0===this._tiles.length)return!1;for(const t of this._tiles)if(!t.finished)return!1;return!0}_render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(t){const e=this.model.tile_source.tiles.get(t);if(null!=e&&e.loaded){const[[t],[i]]=this.coordinates.map_to_screen([e.bounds[0]],[e.bounds[3]]),[[s],[_]]=this.coordinates.map_to_screen([e.bounds[2]],[e.bounds[1]]),n=s-t,a=_-i,h=t,r=i,o=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(e.img,h,r,n,a),this.map_canvas.setImageSmoothingEnabled(o),e.finished=!0}}_set_rect(){const t=this.plot_model.outline_line_width,e=this.map_frame.bbox.left+t/2,i=this.map_frame.bbox.top+t/2,s=this.map_frame.bbox.width-t,_=this.map_frame.bbox.height-t;this.map_canvas.rect(e,i,s,_),this.map_canvas.clip()}_render_tiles(t){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const e of t)this._draw_tile(e);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:t}=this.model,e=this.get_extent(),i=this.map_frame.bbox.height,s=this.map_frame.bbox.width,_=this.model.tile_source.get_level_by_extent(e,i,s),n=this.model.tile_source.get_tiles_by_extent(e,_);for(let e=0,i=Math.min(10,n.length);ei&&(s=this.extent,h=i,r=!0),r&&(this.x_range.setv({start:s[0],end:s[2]}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const o=t.get_tiles_by_extent(s,h),l=[],d=[],c=[],p=[];for(const e of o){const[i,s,n]=e,a=t.tile_xyz_to_key(i,s,n),h=t.tiles.get(a);if(null!=h&&h.loaded)d.push(a);else if(this.model.render_parents){const[e,a,h]=t.get_closest_parent_by_tile_xyz(i,s,n),r=t.tile_xyz_to_key(e,a,h),o=t.tiles.get(r);if(null!=o&&o.loaded&&!m.includes(c,r)&&c.push(r),_){const e=t.children_by_tile_xyz(i,s,n);for(const[i,s,_]of e){const e=t.tile_xyz_to_key(i,s,_);t.tiles.has(e)&&p.push(e)}}}null==h&&l.push(e)}this._render_tiles(c),this._render_tiles(p),this._render_tiles(d),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout((()=>this._fetch_tiles(l)),65)}}i.TileRendererView=g,g.__name__=\"TileRendererView\";class u extends r.Renderer{constructor(t){super(t)}static init_TileRenderer(){this.prototype.default_view=g,this.define((({Boolean:t,Number:e,Ref:i})=>({alpha:[e,1],smoothing:[t,!0],tile_source:[i(a.TileSource),()=>new h.WMTSTileSource],render_parents:[t,!0]}))),this.override({level:\"image\"})}}i.TileRenderer=u,u.__name__=\"TileRenderer\",u.init_TileRenderer()},\n", " function _(t,e,r,o,s){o();const c=t(348);class i extends c.MercatorTileSource{constructor(t){super(t)}get_image_url(t,e,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,i]=this.tms_to_wmts(t,e,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",i.toString())}}r.WMTSTileSource=i,i.__name__=\"WMTSTileSource\"},\n", " function _(t,o,i,b,r){b(),i.root=\"bk-root\",i.tile_attribution=\"bk-tile-attribution\",i.default=\".bk-root .bk-tile-attribution a{color:black;}\"},\n", " function _(e,r,t,c,o){c();const i=e(348);class l extends i.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=l,l.__name__=\"TMSTileSource\"},\n", " function _(e,t,u,a,r){a(),r(\"CanvasTexture\",e(357).CanvasTexture),r(\"ImageURLTexture\",e(359).ImageURLTexture),r(\"Texture\",e(358).Texture)},\n", " function _(t,e,n,c,s){c();const a=t(358),i=t(34);class r extends a.Texture{constructor(t){super(t)}static init_CanvasTexture(){this.define((({String:t})=>({code:[t]})))}get func(){const t=i.use_strict(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),c}}n.CanvasTexture=r,r.__name__=\"CanvasTexture\",r.init_CanvasTexture()},\n", " function _(e,t,i,n,r){n();const s=e(53),u=e(20);class o extends s.Model{constructor(e){super(e)}static init_Texture(){this.define((()=>({repetition:[u.TextureRepetition,\"repeat\"]})))}}i.Texture=o,o.__name__=\"Texture\",o.init_Texture()},\n", " function _(e,t,i,r,n){r();const a=e(358),s=e(296);class u extends a.Texture{constructor(e){super(e)}static init_ImageURLTexture(){this.define((({String:e})=>({url:[e]})))}initialize(){super.initialize(),this._loader=new s.ImageLoader(this.url)}get_pattern(e,t,i){const{_loader:r}=this;return this._loader.finished?r.image:r.promise}}i.ImageURLTexture=u,u.__name__=\"ImageURLTexture\",u.init_ImageURLTexture()},\n", " function _(o,l,T,e,t){e(),t(\"ActionTool\",o(251).ActionTool),t(\"CustomAction\",o(361).CustomAction),t(\"HelpTool\",o(252).HelpTool),t(\"RedoTool\",o(362).RedoTool),t(\"ResetTool\",o(363).ResetTool),t(\"SaveTool\",o(364).SaveTool),t(\"UndoTool\",o(365).UndoTool),t(\"ZoomInTool\",o(366).ZoomInTool),t(\"ZoomOutTool\",o(369).ZoomOutTool),t(\"ButtonTool\",o(238).ButtonTool),t(\"EditTool\",o(370).EditTool),t(\"BoxEditTool\",o(371).BoxEditTool),t(\"FreehandDrawTool\",o(372).FreehandDrawTool),t(\"PointDrawTool\",o(373).PointDrawTool),t(\"PolyDrawTool\",o(374).PolyDrawTool),t(\"PolyTool\",o(375).PolyTool),t(\"PolyEditTool\",o(376).PolyEditTool),t(\"BoxSelectTool\",o(377).BoxSelectTool),t(\"BoxZoomTool\",o(379).BoxZoomTool),t(\"GestureTool\",o(237).GestureTool),t(\"LassoSelectTool\",o(380).LassoSelectTool),t(\"LineEditTool\",o(382).LineEditTool),t(\"PanTool\",o(384).PanTool),t(\"PolySelectTool\",o(381).PolySelectTool),t(\"RangeTool\",o(385).RangeTool),t(\"SelectTool\",o(378).SelectTool),t(\"TapTool\",o(386).TapTool),t(\"WheelPanTool\",o(387).WheelPanTool),t(\"WheelZoomTool\",o(388).WheelZoomTool),t(\"CrosshairTool\",o(389).CrosshairTool),t(\"CustomJSHover\",o(390).CustomJSHover),t(\"HoverTool\",o(391).HoverTool),t(\"InspectTool\",o(247).InspectTool),t(\"Tool\",o(236).Tool),t(\"ToolProxy\",o(392).ToolProxy),t(\"Toolbar\",o(235).Toolbar),t(\"ToolbarBase\",o(248).ToolbarBase),t(\"ProxyToolbar\",o(393).ProxyToolbar),t(\"ToolbarBox\",o(393).ToolbarBox)},\n", " function _(t,o,i,s,n){s();const e=t(251);class c extends e.ActionToolButtonView{css_classes(){return super.css_classes().concat(\"bk-toolbar-button-custom-action\")}}i.CustomActionButtonView=c,c.__name__=\"CustomActionButtonView\";class u extends e.ActionToolView{doit(){var t;null===(t=this.model.callback)||void 0===t||t.execute(this.model)}}i.CustomActionView=u,u.__name__=\"CustomActionView\";class l extends e.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=c}static init_CustomAction(){this.prototype.default_view=u,this.define((({Any:t,String:o,Nullable:i})=>({callback:[i(t)],icon:[o]}))),this.override({description:\"Perform a Custom Action\"})}}i.CustomAction=l,l.__name__=\"CustomAction\",l.init_CustomAction()},\n", " function _(o,e,t,i,s){i();const n=o(251),d=o(242);class l extends n.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state.changed,(()=>this.model.disabled=!this.plot_view.state.can_redo))}doit(){this.plot_view.state.redo()}}t.RedoToolView=l,l.__name__=\"RedoToolView\";class _ extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Redo\",this.icon=d.tool_icon_redo}static init_RedoTool(){this.prototype.default_view=l,this.override({disabled:!0}),this.register_alias(\"redo\",(()=>new _))}}t.RedoTool=_,_.__name__=\"RedoTool\",_.init_RedoTool()},\n", " function _(e,t,o,s,i){s();const _=e(251),n=e(242);class l extends _.ActionToolView{doit(){this.plot_view.reset()}}o.ResetToolView=l,l.__name__=\"ResetToolView\";class c extends _.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=n.tool_icon_reset}static init_ResetTool(){this.prototype.default_view=l,this.register_alias(\"reset\",(()=>new c))}}o.ResetTool=c,c.__name__=\"ResetTool\",c.init_ResetTool()},\n", " function _(o,e,t,a,i){a();const n=o(251),s=o(242);class c extends n.ActionToolView{async copy(){const o=await this.plot_view.to_blob(),e=new ClipboardItem({[o.type]:o});await navigator.clipboard.write([e])}async save(o){const e=await this.plot_view.to_blob(),t=document.createElement(\"a\");t.href=URL.createObjectURL(e),t.download=o,t.target=\"_blank\",t.dispatchEvent(new MouseEvent(\"click\"))}doit(o=\"save\"){switch(o){case\"save\":this.save(\"bokeh_plot\");break;case\"copy\":this.copy()}}}t.SaveToolView=c,c.__name__=\"SaveToolView\";class l extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Save\",this.icon=s.tool_icon_save}static init_SaveTool(){this.prototype.default_view=c,this.register_alias(\"save\",(()=>new l))}get menu(){return[{icon:\"bk-tool-icon-copy-to-clipboard\",tooltip:\"Copy image to clipboard\",if:()=>\"undefined\"!=typeof ClipboardItem,handler:()=>{this.do.emit(\"copy\")}}]}}t.SaveTool=l,l.__name__=\"SaveTool\",l.init_SaveTool()},\n", " function _(o,t,n,i,e){i();const s=o(251),d=o(242);class l extends s.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state.changed,(()=>this.model.disabled=!this.plot_view.state.can_undo))}doit(){this.plot_view.state.undo()}}n.UndoToolView=l,l.__name__=\"UndoToolView\";class _ extends s.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=d.tool_icon_undo}static init_UndoTool(){this.prototype.default_view=l,this.override({disabled:!0}),this.register_alias(\"undo\",(()=>new _))}}n.UndoTool=_,_.__name__=\"UndoTool\",_.init_UndoTool()},\n", " function _(o,i,n,s,e){s();const t=o(367),_=o(242);class m extends t.ZoomBaseToolView{}n.ZoomInToolView=m,m.__name__=\"ZoomInToolView\";class l extends t.ZoomBaseTool{constructor(o){super(o),this.sign=1,this.tool_name=\"Zoom In\",this.icon=_.tool_icon_zoom_in}static init_ZoomInTool(){this.prototype.default_view=m,this.register_alias(\"zoom_in\",(()=>new l({dimensions:\"both\"}))),this.register_alias(\"xzoom_in\",(()=>new l({dimensions:\"width\"}))),this.register_alias(\"yzoom_in\",(()=>new l({dimensions:\"height\"})))}}n.ZoomInTool=l,l.__name__=\"ZoomInTool\",l.init_ZoomInTool()},\n", " function _(o,t,e,i,s){i();const n=o(251),l=o(20),a=o(368);class _ extends n.ActionToolView{doit(){var o;const t=this.plot_view.frame,e=this.model.dimensions,i=\"width\"==e||\"both\"==e,s=\"height\"==e||\"both\"==e,n=a.scale_range(t,this.model.sign*this.model.factor,i,s);this.plot_view.state.push(\"zoom_out\",{range:n}),this.plot_view.update_range(n,{scrolling:!0}),null===(o=this.model.document)||void 0===o||o.interactive_start(this.plot_model)}}e.ZoomBaseToolView=_,_.__name__=\"ZoomBaseToolView\";class m extends n.ActionTool{constructor(o){super(o)}static init_ZoomBaseTool(){this.define((({Percent:o})=>({factor:[o,.1],dimensions:[l.Dimensions,\"both\"]})))}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}e.ZoomBaseTool=m,m.__name__=\"ZoomBaseTool\",m.init_ZoomBaseTool()},\n", " function _(n,t,o,r,s){r();const c=n(10);function e(n,t,o){const[r,s]=[n.start,n.end],c=null!=o?o:(s+r)/2;return[r-(r-c)*t,s-(s-c)*t]}function a(n,[t,o]){const r=new Map;for(const[s,c]of n){const[n,e]=c.r_invert(t,o);r.set(s,{start:n,end:e})}return r}o.scale_highlow=e,o.get_info=a,o.scale_range=function(n,t,o=!0,r=!0,s){t=c.clamp(t,-.9,.9);const l=o?t:0,[u,i]=e(n.bbox.h_range,l,null!=s?s.x:void 0),_=a(n.x_scales,[u,i]),f=r?t:0,[g,x]=e(n.bbox.v_range,f,null!=s?s.y:void 0);return{xrs:_,yrs:a(n.y_scales,[g,x]),factor:t}}},\n", " function _(o,t,i,s,e){s();const n=o(367),_=o(242);class m extends n.ZoomBaseToolView{}i.ZoomOutToolView=m,m.__name__=\"ZoomOutToolView\";class l extends n.ZoomBaseTool{constructor(o){super(o),this.sign=-1,this.tool_name=\"Zoom Out\",this.icon=_.tool_icon_zoom_out}static init_ZoomOutTool(){this.prototype.default_view=m,this.register_alias(\"zoom_out\",(()=>new l({dimensions:\"both\"}))),this.register_alias(\"xzoom_out\",(()=>new l({dimensions:\"width\"}))),this.register_alias(\"yzoom_out\",(()=>new l({dimensions:\"height\"})))}}i.ZoomOutTool=l,l.__name__=\"ZoomOutTool\",l.init_ZoomOutTool()},\n", " function _(e,t,s,o,n){o();const i=e(9),r=e(8),c=e(11),a=e(61),_=e(237);class l extends _.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void c.unreachable():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){if(!this.plot_view.frame.bbox.contains(e,t))return null;const o=this.plot_view.renderer_view(s);if(null==o)return null;return[o.coordinates.x_scale.invert(e),o.coordinates.y_scale.invert(t)]}_delete_selected(e){const t=e.data_source,s=t.selected.indices;s.sort();for(const e of t.columns()){const o=t.get_array(e);for(let e=0;e({custom_icon:[n(t),null],empty_value:[e],renderers:[s(o(a.GlyphRenderer)),[]]})))}get computed_icon(){var e;return null!==(e=this.custom_icon)&&void 0!==e?e:this.icon}}s.EditTool=d,d.__name__=\"EditTool\",d.init_EditTool()},\n", " function _(e,t,s,i,_){i();const o=e(43),n=e(20),a=e(370),d=e(242);class l extends a.EditToolView{_tap(e){null==this._draw_basepoint&&null==this._basepoint&&this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)if(e.keyCode===o.Keys.Backspace)this._delete_selected(t);else if(e.keyCode==o.Keys.Esc){t.data_source.selection_manager.clear()}}_set_extent([e,t],[s,i],_,o=!1){const n=this.model.renderers[0],a=this.plot_view.renderer_view(n);if(null==a)return;const d=n.glyph,l=n.data_source,[r,h]=a.coordinates.x_scale.r_invert(e,t),[p,u]=a.coordinates.y_scale.r_invert(s,i),[c,m]=[(r+h)/2,(p+u)/2],[f,b]=[h-r,u-p],[x,y]=[d.x.field,d.y.field],[w,v]=[d.width.field,d.height.field];if(_)this._pop_glyphs(l,this.model.num_objects),x&&l.get_array(x).push(c),y&&l.get_array(y).push(m),w&&l.get_array(w).push(f),v&&l.get_array(v).push(b),this._pad_empty_columns(l,[x,y,w,v]);else{const e=l.data[x].length-1;x&&(l.data[x][e]=c),y&&(l.data[y][e]=m),w&&(l.data[w][e]=f),v&&(l.data[v][e]=b)}this._emit_cds_changes(l,!0,!1,o)}_update_box(e,t=!1,s=!1){if(null==this._draw_basepoint)return;const i=[e.sx,e.sy],_=this.plot_view.frame,o=this.model.dimensions,n=this.model._get_dim_limits(this._draw_basepoint,i,_,o);if(null!=n){const[e,i]=n;this._set_extent(e,i,t,s)}}_doubletap(e){this.model.active&&(null!=this._draw_basepoint?(this._update_box(e,!1,!0),this._draw_basepoint=null):(this._draw_basepoint=[e.sx,e.sy],this._select_event(e,\"append\",this.model.renderers),this._update_box(e,!0,!1)))}_move(e){this._update_box(e,!1,!1)}_pan_start(e){if(e.shiftKey){if(null!=this._draw_basepoint)return;this._draw_basepoint=[e.sx,e.sy],this._update_box(e,!0,!1)}else{if(null!=this._basepoint)return;this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy]}}_pan(e,t=!1,s=!1){if(e.shiftKey){if(null==this._draw_basepoint)return;this._update_box(e,t,s)}else{if(null==this._basepoint)return;this._drag_points(e,this.model.renderers)}}_pan_end(e){if(this._pan(e,!1,!0),e.shiftKey)this._draw_basepoint=null;else{this._basepoint=null;for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0)}}}s.BoxEditToolView=l,l.__name__=\"BoxEditToolView\";class r extends a.EditTool{constructor(e){super(e),this.tool_name=\"Box Edit Tool\",this.icon=d.tool_icon_box_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=1}static init_BoxEditTool(){this.prototype.default_view=l,this.define((({Int:e})=>({dimensions:[n.Dimensions,\"both\"],num_objects:[e,0]})))}}s.BoxEditTool=r,r.__name__=\"BoxEditTool\",r.init_BoxEditTool()},\n", " function _(e,t,a,s,r){s();const _=e(43),i=e(8),o=e(370),d=e(242);class n extends o.EditToolView{_draw(e,t,a=!1){if(!this.model.active)return;const s=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,s);if(null==r)return;const[_,o]=r,d=s.data_source,n=s.glyph,[h,l]=[n.xs.field,n.ys.field];if(\"new\"==t)this._pop_glyphs(d,this.model.num_objects),h&&d.get_array(h).push([_]),l&&d.get_array(l).push([o]),this._pad_empty_columns(d,[h,l]);else if(\"add\"==t){if(h){const e=d.data[h].length-1;let t=d.get_array(h)[e];i.isArray(t)||(t=Array.from(t),d.data[h][e]=t),t.push(_)}if(l){const e=d.data[l].length-1;let t=d.get_array(l)[e];i.isArray(t)||(t=Array.from(t),d.data[l][e]=t),t.push(o)}}this._emit_cds_changes(d,!0,!0,a)}_pan_start(e){this._draw(e,\"new\")}_pan(e){this._draw(e,\"add\")}_pan_end(e){this._draw(e,\"add\",!0)}_tap(e){this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===_.Keys.Esc?t.data_source.selection_manager.clear():e.keyCode===_.Keys.Backspace&&this._delete_selected(t)}}a.FreehandDrawToolView=n,n.__name__=\"FreehandDrawToolView\";class h extends o.EditTool{constructor(e){super(e),this.tool_name=\"Freehand Draw Tool\",this.icon=d.tool_icon_freehand_draw,this.event_type=[\"pan\",\"tap\"],this.default_order=3}static init_FreehandDrawTool(){this.prototype.default_view=n,this.define((({Int:e})=>({num_objects:[e,0]}))),this.register_alias(\"freehand_draw\",(()=>new h))}}a.FreehandDrawTool=h,h.__name__=\"FreehandDrawTool\",h.init_FreehandDrawTool()},\n", " function _(e,t,s,o,i){o();const a=e(43),n=e(370),_=e(242);class r extends n.EditToolView{_tap(e){if(this._select_event(e,this._select_mode(e),this.model.renderers).length||!this.model.add)return;const t=this.model.renderers[0],s=this._map_drag(e.sx,e.sy,t);if(null==s)return;const o=t.glyph,i=t.data_source,[a,n]=[o.x.field,o.y.field],[_,r]=s;this._pop_glyphs(i,this.model.num_objects),a&&i.get_array(a).push(_),n&&i.get_array(n).push(r),this._pad_empty_columns(i,[a,n]),i.change.emit(),i.data=i.data,i.properties.data.change.emit()}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===a.Keys.Backspace?this._delete_selected(t):e.keyCode==a.Keys.Esc&&t.data_source.selection_manager.clear()}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){this.model.drag&&null!=this._basepoint&&this._drag_points(e,this.model.renderers)}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0);this._basepoint=null}}}s.PointDrawToolView=r,r.__name__=\"PointDrawToolView\";class d extends n.EditTool{constructor(e){super(e),this.tool_name=\"Point Draw Tool\",this.icon=_.tool_icon_point_draw,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=2}static init_PointDrawTool(){this.prototype.default_view=r,this.define((({Boolean:e,Int:t})=>({add:[e,!0],drag:[e,!0],num_objects:[t,0]})))}}s.PointDrawTool=d,d.__name__=\"PointDrawTool\",d.init_PointDrawTool()},\n", " function _(e,t,s,i,a){i();const o=e(43),r=e(8),n=e(375),_=e(242);class d extends n.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._initialized=!1}_tap(e){this._drawing?this._draw(e,\"add\",!0):this._select_event(e,this._select_mode(e),this.model.renderers)}_draw(e,t,s=!1){const i=this.model.renderers[0],a=this._map_drag(e.sx,e.sy,i);if(this._initialized||this.activate(),null==a)return;const[o,n]=this._snap_to_vertex(e,...a),_=i.data_source,d=i.glyph,[l,h]=[d.xs.field,d.ys.field];if(\"new\"==t)this._pop_glyphs(_,this.model.num_objects),l&&_.get_array(l).push([o,o]),h&&_.get_array(h).push([n,n]),this._pad_empty_columns(_,[l,h]);else if(\"edit\"==t){if(l){const e=_.data[l][_.data[l].length-1];e[e.length-1]=o}if(h){const e=_.data[h][_.data[h].length-1];e[e.length-1]=n}}else if(\"add\"==t){if(l){const e=_.data[l].length-1;let t=_.get_array(l)[e];const s=t[t.length-1];t[t.length-1]=o,r.isArray(t)||(t=Array.from(t),_.data[l][e]=t),t.push(s)}if(h){const e=_.data[h].length-1;let t=_.get_array(h)[e];const s=t[t.length-1];t[t.length-1]=n,r.isArray(t)||(t=Array.from(t),_.data[h][e]=t),t.push(s)}}this._emit_cds_changes(_,!0,!1,s)}_show_vertices(){if(!this.model.active)return;const e=[],t=[];for(let s=0;sthis._show_vertices()))}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=d,d.__name__=\"PolyDrawToolView\";class l extends n.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}static init_PolyDrawTool(){this.prototype.default_view=d,this.define((({Boolean:e,Int:t})=>({drag:[e,!0],num_objects:[t,0]})))}}s.PolyDrawTool=l,l.__name__=\"PolyDrawTool\",l.init_PolyDrawTool()},\n", " function _(e,t,r,o,s){o();const i=e(8),l=e(370);class _ extends l.EditToolView{_set_vertices(e,t){const r=this.model.vertex_renderer.glyph,o=this.model.vertex_renderer.data_source,[s,l]=[r.x.field,r.y.field];s&&(i.isArray(e)?o.data[s]=e:r.x={value:e}),l&&(i.isArray(t)?o.data[l]=t:r.y={value:t}),this._emit_cds_changes(o,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,t,r){if(this.model.vertex_renderer){const o=this._select_event(e,\"replace\",[this.model.vertex_renderer]),s=this.model.vertex_renderer.data_source,i=this.model.vertex_renderer.glyph,[l,_]=[i.x.field,i.y.field];if(o.length){const e=s.selected.indices[0];l&&(t=s.data[l][e]),_&&(r=s.data[_][e]),s.selection_manager.clear()}}return[t,r]}}r.PolyToolView=_,_.__name__=\"PolyToolView\";class d extends l.EditTool{constructor(e){super(e)}static init_PolyTool(){this.define((({AnyRef:e})=>({vertex_renderer:[e()]})))}}r.PolyTool=d,d.__name__=\"PolyTool\",d.init_PolyTool()},\n", " function _(e,t,s,r,i){r();const _=e(43),d=e(8),n=e(375),l=e(242);class a extends n.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._cur_index=null}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,\"replace\",[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this.model.renderers[0],s=()=>this._update_vertices(t),r=null==t?void 0:t.data_source,i=this._select_event(e,\"replace\",this.model.renderers);if(!i.length)return this._set_vertices([],[]),this._selected_renderer=null,this._drawing=!1,this._cur_index=null,void(null!=r&&r.disconnect(r.properties.data.change,s));null!=r&&r.connect(r.properties.data.change,s),this._cur_index=i[0].data_source.selected.indices[0],this._update_vertices(i[0])}_update_vertices(e){const t=e.glyph,s=e.data_source,r=this._cur_index,[i,_]=[t.xs.field,t.ys.field];if(this._drawing)return;if(null==r&&(i||_))return;let n,l;i&&null!=r?(n=s.data[i][r],d.isArray(n)||(s.data[i][r]=n=Array.from(n))):n=t.xs.value,_&&null!=r?(l=s.data[_][r],d.isArray(l)||(s.data[_][r]=l=Array.from(l))):l=t.ys.value,this._selected_renderer=e,this._set_vertices(n,l)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=this._select_mode(e);this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,\"append\",[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===_.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==_.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=a,a.__name__=\"PolyEditToolView\";class c extends n.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=l.tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_PolyEditTool(){this.prototype.default_view=a}}s.PolyEditTool=c,c.__name__=\"PolyEditTool\",c.init_PolyEditTool()},\n", " function _(e,t,o,s,i){s();const l=e(378),n=e(136),_=e(20),c=e(242);class h extends l.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.state.push(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const n={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(n,i,l)}}o.BoxSelectToolView=h,h.__name__=\"BoxSelectToolView\";const r=()=>new n.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class a extends l.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=c.tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}static init_BoxSelectTool(){this.prototype.default_view=h,this.define((({Boolean:e,Ref:t})=>({dimensions:[_.Dimensions,\"both\"],select_every_mousemove:[e,!1],overlay:[t(n.BoxAnnotation),r],origin:[_.BoxOrigin,\"corner\"]}))),this.register_alias(\"box_select\",(()=>new a)),this.register_alias(\"xbox_select\",(()=>new a({dimensions:\"width\"}))),this.register_alias(\"ybox_select\",(()=>new a({dimensions:\"height\"})))}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}o.BoxSelectTool=a,a.__name__=\"BoxSelectTool\",a.init_BoxSelectTool()},\n", " function _(e,t,s,n,o){n();const r=e(237),c=e(61),i=e(123),l=e(62),a=e(161),_=e(20),d=e(43),h=e(264),p=e(15),u=e(11);class m extends r.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect((()=>this._clear()))}get computed_renderers(){const{renderers:e,names:t}=this.model,s=this.plot_model.data_renderers;return a.compute_renderers(e,s,t)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof c.GlyphRenderer)n=s.data_source;else{if(!(s instanceof i.GraphRenderer))continue;n=s.node_renderer.data_source}const o=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...o,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void u.unreachable():this.model.mode}_keyup(e){e.keyCode==d.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();const e=this.computed_renderers.map((e=>this.plot_view.renderer_view(e)));this.plot_view.request_paint(e)}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,o]of n){const n=o[0].get_selection_manager(),r=[];for(const e of o){const t=this.plot_view.renderer_view(e);null!=t&&r.push(t)}n.select(r,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{x_scale:s,y_scale:n}=this.plot_view.frame;let o;switch(e.type){case\"point\":{const{sx:t,sy:r}=e,c=s.invert(t),i=n.invert(r);o=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:r}=e,c=s.invert(t),i=n.invert(r);o=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:r,sy0:c,sy1:i}=e,[l,a]=s.r_invert(t,r),[_,d]=n.r_invert(c,i);o=Object.assign(Object.assign({},e),{x0:l,y0:_,x1:a,y1:d});break}case\"poly\":{const{sx:t,sy:r}=e,c=s.v_invert(t),i=n.v_invert(r);o=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new h.SelectionGeometry(o,t))}}s.SelectToolView=m,m.__name__=\"SelectToolView\";class v extends r.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new p.Signal0(this,\"clear\")}static init_SelectTool(){this.define((({String:e,Array:t,Ref:s,Or:n,Auto:o})=>({renderers:[n(t(s(l.DataRenderer)),o),\"auto\"],names:[t(e),[]],mode:[_.SelectionMode,\"replace\"]})))}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=v,v.__name__=\"SelectTool\",v.init_SelectTool()},\n", " function _(t,o,e,s,i){s();const n=t(237),_=t(136),a=t(20),l=t(242);class r extends n.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,b;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,m_&&(d=_)):(d=t[1],b=t[1]-l/s,bnew _.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class c extends n.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=l.tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}static init_BoxZoomTool(){this.prototype.default_view=r,this.define((({Boolean:t,Ref:o})=>({dimensions:[a.Dimensions,\"both\"],overlay:[o(_.BoxAnnotation),h],match_aspect:[t,!1],origin:[a.BoxOrigin,\"corner\"]}))),this.register_alias(\"box_zoom\",(()=>new c({dimensions:\"both\"}))),this.register_alias(\"xbox_zoom\",(()=>new c({dimensions:\"width\"}))),this.register_alias(\"ybox_zoom\",(()=>new c({dimensions:\"height\"})))}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}e.BoxZoomTool=c,c.__name__=\"BoxZoomTool\",c.init_BoxZoomTool()},\n", " function _(s,e,t,o,i){o();const l=s(378),_=s(231),a=s(381),c=s(43),n=s(242);class h extends l.SelectToolView{constructor(){super(...arguments),this.sxs=[],this.sys=[]}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._active_change()))}_active_change(){this.model.active||this._clear_overlay()}_keyup(s){s.keyCode==c.Keys.Enter&&this._clear_overlay()}_pan_start(s){this.sxs=[],this.sys=[];const{sx:e,sy:t}=s;this._append_overlay(e,t)}_pan(s){const[e,t]=this.plot_view.frame.bbox.clip(s.sx,s.sy);this._append_overlay(e,t),this.model.select_every_mousemove&&this._do_select(this.sxs,this.sys,!1,this._select_mode(s))}_pan_end(s){const{sxs:e,sys:t}=this;this._clear_overlay(),this._do_select(e,t,!0,this._select_mode(s)),this.plot_view.state.push(\"lasso_select\",{selection:this.plot_view.get_selection()})}_append_overlay(s,e){const{sxs:t,sys:o}=this;t.push(s),o.push(e),this.model.overlay.update({xs:t,ys:o})}_clear_overlay(){this.sxs=[],this.sys=[],this.model.overlay.update({xs:this.sxs,ys:this.sys})}_do_select(s,e,t,o){const i={type:\"poly\",sx:s,sy:e};this._select(i,t,o)}}t.LassoSelectToolView=h,h.__name__=\"LassoSelectToolView\";class r extends l.SelectTool{constructor(s){super(s),this.tool_name=\"Lasso Select\",this.icon=n.tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}static init_LassoSelectTool(){this.prototype.default_view=h,this.define((({Boolean:s,Ref:e})=>({select_every_mousemove:[s,!0],overlay:[e(_.PolyAnnotation),a.DEFAULT_POLY_OVERLAY]}))),this.register_alias(\"lasso_select\",(()=>new r))}}t.LassoSelectTool=r,r.__name__=\"LassoSelectTool\",r.init_LassoSelectTool()},\n", " function _(e,t,s,l,o){l();const i=e(378),a=e(231),_=e(43),c=e(9),n=e(242);class h extends i.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._active_change()))}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==_.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.state.push(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:c.copy(this.data.sx),ys:c.copy(this.data.sy)}))}_do_select(e,t,s,l){const o={type:\"poly\",sx:e,sy:t};this._select(o,s,l)}}s.PolySelectToolView=h,h.__name__=\"PolySelectToolView\";s.DEFAULT_POLY_OVERLAY=()=>new a.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class y extends i.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=n.tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}static init_PolySelectTool(){this.prototype.default_view=h,this.define((({Ref:e})=>({overlay:[e(a.PolyAnnotation),s.DEFAULT_POLY_OVERLAY]}))),this.register_alias(\"poly_select\",(()=>new y))}}s.PolySelectTool=y,y.__name__=\"PolySelectTool\",y.init_PolySelectTool()},\n", " function _(e,t,i,s,n){s();const r=e(20),_=e(383),d=e(242);class o extends _.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const i of t){1==this._select_event(e,\"replace\",[i]).length&&(this._selected_renderer=i)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[i,s]=[t.x.field,t.y.field],n=e.get_array(i),r=e.get_array(s);this._set_intersection(n,r)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const i=this._select_mode(e);if(0==this._select_event(e,i,[t]).length)return}const i=this._select_mode(e);this._select_event(e,i,[t]),this._select_event(e,i,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[i,s]=[e.x.field,e.y.field];if(i&&s){const e=t.data[i],n=t.data[s];this._selected_renderer.data_source.data[i]=e,this._selected_renderer.data_source.data[s]=n}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}i.LineEditToolView=o,o.__name__=\"LineEditToolView\";class l extends _.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=d.tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_LineEditTool(){this.prototype.default_view=o,this.define((()=>({dimensions:[r.Dimensions,\"both\"]})))}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}i.LineEditTool=l,l.__name__=\"LineEditTool\",l.init_LineEditTool()},\n", " function _(e,i,t,n,o){n();const s=e(8),_=e(370);class r extends _.EditToolView{_set_intersection(e,i){const t=this.model.intersection_renderer.glyph,n=this.model.intersection_renderer.data_source,[o,_]=[t.x.field,t.y.field];o&&(s.isArray(e)?n.data[o]=e:t.x={value:e}),_&&(s.isArray(i)?n.data[_]=i:t.y={value:i}),this._emit_cds_changes(n,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}t.LineToolView=r,r.__name__=\"LineToolView\";class c extends _.EditTool{constructor(e){super(e)}static init_LineTool(){this.define((({AnyRef:e})=>({intersection_renderer:[e()]})))}}t.LineTool=c,c.__name__=\"LineTool\",c.init_LineTool()},\n", " function _(t,s,i,n,e){n();const o=t(1),a=t(237),_=t(20),h=o.__importStar(t(242));function l(t,s,i){const n=new Map;for(const[e,o]of t){const[t,a]=o.r_invert(s,i);n.set(e,{start:t,end:a})}return n}i.update_ranges=l;class r extends a.GestureToolView{_pan_start(t){var s;this.last_dx=0,this.last_dy=0;const{sx:i,sy:n}=t,e=this.plot_view.frame.bbox;if(!e.contains(i,n)){const t=e.h_range,s=e.v_range;(it.end)&&(this.v_axis_only=!0),(ns.end)&&(this.h_axis_only=!0)}null===(s=this.model.document)||void 0===s||s.interactive_start(this.plot_model)}_pan(t){var s;this._update(t.deltaX,t.deltaY),null===(s=this.model.document)||void 0===s||s.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.state.push(\"pan\",{range:this.pan_info})}_update(t,s){const i=this.plot_view.frame,n=t-this.last_dx,e=s-this.last_dy,o=i.bbox.h_range,a=o.start-n,_=o.end-n,h=i.bbox.v_range,r=h.start-e,d=h.end-e,p=this.model.dimensions;let c,m,u,x,v,y;\"width\"!=p&&\"both\"!=p||this.v_axis_only?(c=o.start,m=o.end,u=0):(c=a,m=_,u=-n),\"height\"!=p&&\"both\"!=p||this.h_axis_only?(x=h.start,v=h.end,y=0):(x=r,v=d,y=-e),this.last_dx=t,this.last_dy=s;const{x_scales:g,y_scales:w}=i,f=l(g,c,m),b=l(w,x,v);this.pan_info={xrs:f,yrs:b,sdx:u,sdy:y},this.plot_view.update_range(this.pan_info,{panning:!0})}}i.PanToolView=r,r.__name__=\"PanToolView\";class d extends a.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}static init_PanTool(){this.prototype.default_view=r,this.define((()=>({dimensions:[_.Dimensions,\"both\",{on_update(t,s){switch(t){case\"both\":s.icon=h.tool_icon_pan;break;case\"width\":s.icon=h.tool_icon_xpan;break;case\"height\":s.icon=h.tool_icon_ypan}}}]}))),this.register_alias(\"pan\",(()=>new d({dimensions:\"both\"}))),this.register_alias(\"xpan\",(()=>new d({dimensions:\"width\"}))),this.register_alias(\"ypan\",(()=>new d({dimensions:\"height\"})))}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}i.PanTool=d,d.__name__=\"PanTool\",d.init_PanTool()},\n", " function _(t,e,i,s,n){s();const l=t(136),a=t(156),r=t(19),o=t(237),_=t(242);function h(t){switch(t){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return t}}function d(t,e,i,s){if(null==e)return!1;const n=i.compute(e);return Math.abs(t-n)n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const t=s.invert(e);(tn.top)&&(l=!1)}return l}function c(t,e,i){let s=0;return t>=i.start&&t<=i.end&&(s+=1),e>=i.start&&e<=i.end&&(s+=1),s}function g(t,e,i,s){const n=e.compute(t),l=e.invert(n+i);return l>=s.start&&l<=s.end?l:t}function y(t,e,i){return t>e.start?(e.end=t,i):(e.end=e.start,e.start=t,h(i))}function f(t,e,i){return t=o&&(t.start=a,t.end=r)}i.flip_side=h,i.is_near=d,i.is_inside=u,i.sides_inside=c,i.compute_value=g,i.update_range_end_side=y,i.update_range_start_side=f,i.update_range=m;class v extends o.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,(()=>this.model.update_overlay_from_ranges())),null!=this.model.y_range&&this.connect(this.model.y_range.change,(()=>this.model.update_overlay_from_ranges()))}_pan_start(t){this.last_dx=0,this.last_dy=0;const e=this.model.x_range,i=this.model.y_range,{frame:s}=this.plot_view,n=s.x_scale,a=s.y_scale,r=this.model.overlay,{left:o,right:_,top:h,bottom:c}=r,g=this.model.overlay.line_width+l.EDGE_TOLERANCE;null!=e&&this.model.x_interaction&&(d(t.sx,o,n,g)?this.side=1:d(t.sx,_,n,g)?this.side=2:u(t.sx,t.sy,n,a,r)&&(this.side=3)),null!=i&&this.model.y_interaction&&(0==this.side&&d(t.sy,c,a,g)&&(this.side=4),0==this.side&&d(t.sy,h,a,g)?this.side=5:u(t.sx,t.sy,n,a,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(t){const e=this.plot_view.frame,i=t.deltaX-this.last_dx,s=t.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=e.x_scale,r=e.y_scale;if(null!=n)if(3==this.side||7==this.side)m(n,a,i,e.x_range);else if(1==this.side){const t=g(n.start,a,i,e.x_range);this.side=f(t,n,this.side)}else if(2==this.side){const t=g(n.end,a,i,e.x_range);this.side=y(t,n,this.side)}if(null!=l)if(6==this.side||7==this.side)m(l,r,s,e.y_range);else if(4==this.side){const t=g(l.start,r,s,e.y_range);this.side=f(t,l,this.side)}else if(5==this.side){const t=g(l.end,r,s,e.y_range);this.side=y(t,l,this.side)}this.last_dx=t.deltaX,this.last_dy=t.deltaY}_pan_end(t){this.side=0}}i.RangeToolView=v,v.__name__=\"RangeToolView\";const p=()=>new l.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class x extends o.GestureTool{constructor(t){super(t),this.tool_name=\"Range Tool\",this.icon=_.tool_icon_range,this.event_type=\"pan\",this.default_order=1}static init_RangeTool(){this.prototype.default_view=v,this.define((({Boolean:t,Ref:e,Nullable:i})=>({x_range:[i(e(a.Range1d)),null],x_interaction:[t,!0],y_range:[i(e(a.Range1d)),null],y_interaction:[t,!0],overlay:[e(l.BoxAnnotation),p]})))}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,r.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}i.RangeTool=x,x.__name__=\"RangeTool\",x.init_RangeTool()},\n", " function _(e,t,s,o,i){o();const l=e(378),a=e(20),n=e(242);class c extends l.SelectToolView{_tap(e){\"tap\"==this.model.gesture&&this._handle_tap(e)}_doubletap(e){\"doubletap\"==this.model.gesture&&this._handle_tap(e)}_handle_tap(e){const{sx:t,sy:s}=e,o={type:\"point\",sx:t,sy:s};this._select(o,!0,this._select_mode(e))}_select(e,t,s){const{callback:o}=this.model;if(\"select\"==this.model.behavior){const i=this._computed_renderers_by_data_source();for(const[,l]of i){const i=l[0].get_selection_manager(),a=l.map((e=>this.plot_view.renderer_view(e))).filter((e=>null!=e));if(i.select(a,e,t,s)&&null!=o){const t=a[0].coordinates.x_scale.invert(e.sx),s=a[0].coordinates.y_scale.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:t,y:s}),source:i.source};o.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.state.push(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=this.plot_view.renderer_view(t);if(null==s)continue;const i=t.get_selection_manager();if(i.inspect(s,e)&&null!=o){const t=s.coordinates.x_scale.invert(e.sx),l=s.coordinates.y_scale.invert(e.sy),a={geometries:Object.assign(Object.assign({},e),{x:t,y:l}),source:i.source};o.execute(this.model,a)}}}}s.TapToolView=c,c.__name__=\"TapToolView\";class _ extends l.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=n.tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}static init_TapTool(){this.prototype.default_view=c,this.define((({Any:e,Enum:t,Nullable:s})=>({behavior:[a.TapBehavior,\"select\"],gesture:[t(\"tap\",\"doubletap\"),\"tap\"],callback:[s(e)]}))),this.register_alias(\"click\",(()=>new _({behavior:\"inspect\"}))),this.register_alias(\"tap\",(()=>new _)),this.register_alias(\"doubletap\",(()=>new _({gesture:\"doubletap\"})))}}s.TapTool=_,_.__name__=\"TapTool\",_.init_TapTool()},\n", " function _(e,t,s,i,n){i();const o=e(237),a=e(20),l=e(242),_=e(384);class h extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){var t;const{frame:s}=this.plot_view,i=s.bbox.h_range,n=s.bbox.v_range,[o,a]=[i.start,i.end],[l,h]=[n.start,n.end];let r,d,c,p;switch(this.model.dimension){case\"height\":{const t=Math.abs(h-l);r=o,d=a,c=l-t*e,p=h-t*e;break}case\"width\":{const t=Math.abs(a-o);r=o-t*e,d=a-t*e,c=l,p=h;break}}const{x_scales:m,y_scales:u}=s,w={xrs:_.update_ranges(m,r,d),yrs:_.update_ranges(u,c,p),factor:e};this.plot_view.state.push(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,{scrolling:!0}),null===(t=this.model.document)||void 0===t||t.interactive_start(this.plot_model)}}s.WheelPanToolView=h,h.__name__=\"WheelPanToolView\";class r extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=l.tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}static init_WheelPanTool(){this.prototype.default_view=h,this.define((()=>({dimension:[a.Dimension,\"width\"]}))),this.internal((({Number:e})=>({speed:[e,.001]}))),this.register_alias(\"xwheel_pan\",(()=>new r({dimension:\"width\"}))),this.register_alias(\"ywheel_pan\",(()=>new r({dimension:\"height\"})))}get tooltip(){return this._get_dim_tooltip(this.dimension)}}s.WheelPanTool=r,r.__name__=\"WheelPanTool\",r.init_WheelPanTool()},\n", " function _(e,o,t,s,i){s();const l=e(237),n=e(368),h=e(20),_=e(27),a=e(242);class m extends l.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:l}=e;let n;n=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:n,ctrlKey:i,shiftKey:l})}_scroll(e){var o;const{frame:t}=this.plot_view,s=t.bbox.h_range,i=t.bbox.v_range,{sx:l,sy:h}=e,_=this.model.dimensions,a=(\"width\"==_||\"both\"==_)&&s.start({dimensions:[h.Dimensions,\"both\"],maintain_focus:[e,!0],zoom_on_axis:[e,!0],speed:[o,1/600]}))),this.register_alias(\"wheel_zoom\",(()=>new r({dimensions:\"both\"}))),this.register_alias(\"xwheel_zoom\",(()=>new r({dimensions:\"width\"}))),this.register_alias(\"ywheel_zoom\",(()=>new r({dimensions:\"height\"})))}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}t.WheelZoomTool=r,r.__name__=\"WheelZoomTool\",r.init_WheelZoomTool()},\n", " function _(i,s,t,o,e){o();const n=i(247),l=i(233),h=i(20),a=i(13),r=i(242);class _ extends n.InspectToolView{_move(i){if(!this.model.active)return;const{sx:s,sy:t}=i;this.plot_view.frame.bbox.contains(s,t)?this._update_spans(s,t):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,s){const t=this.model.dimensions;\"width\"!=t&&\"both\"!=t||(this.model.spans.width.location=s),\"height\"!=t&&\"both\"!=t||(this.model.spans.height.location=i)}}t.CrosshairToolView=_,_.__name__=\"CrosshairToolView\";class c extends n.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=r.tool_icon_crosshair}static init_CrosshairTool(){function i(i,s){return new l.Span({for_hover:!0,dimension:s,location_units:\"screen\",level:\"overlay\",line_color:i.line_color,line_width:i.line_width,line_alpha:i.line_alpha})}this.prototype.default_view=_,this.define((({Alpha:i,Number:s,Color:t})=>({dimensions:[h.Dimensions,\"both\"],line_color:[t,\"black\"],line_width:[s,1],line_alpha:[i,1]}))),this.internal((({Struct:s,Ref:t})=>({spans:[s({width:t(l.Span),height:t(l.Span)}),s=>({width:i(s,\"width\"),height:i(s,\"height\")})]}))),this.register_alias(\"crosshair\",(()=>new c))}get tooltip(){return this._get_dim_tooltip(this.dimensions)}get synthetic_renderers(){return a.values(this.spans)}}t.CrosshairTool=c,c.__name__=\"CrosshairTool\",c.init_CrosshairTool()},\n", " function _(t,e,s,o,r){o();const n=t(53),i=t(13),a=t(34);class u extends n.Model{constructor(t){super(t)}static init_CustomJSHover(){this.define((({Unknown:t,String:e,Dict:s})=>({args:[s(t),{}],code:[e,\"\"]})))}get values(){return i.values(this.args)}_make_code(t,e,s,o){return new Function(...i.keys(this.args),t,e,s,a.use_strict(o))}format(t,e,s){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,t,e,s)}}s.CustomJSHover=u,u.__name__=\"CustomJSHover\",u.init_CustomJSHover()},\n", " function _(e,t,n,s,o){s();const i=e(1),r=e(247),l=e(390),a=e(254),c=e(61),_=e(123),d=e(62),p=e(63),h=e(127),u=i.__importStar(e(107)),m=e(182),y=e(43),f=e(22),x=e(13),v=e(245),w=e(8),g=e(122),b=e(20),k=e(242),C=e(15),S=e(161),T=i.__importStar(e(255));function $(e,t,n,s,o,i){const r={x:o[e],y:i[e]},l={x:o[e+1],y:i[e+1]};let a,c;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-n),c=Math.abs(l.x-n)):(a=Math.abs(r.y-s),c=Math.abs(l.y-s));else{const e={x:n,y:s};a=u.dist_2_pts(r,e),c=u.dist_2_pts(l,e)}return adelete this._template_el)),this.on_change([e,t,n],(async()=>await this._update_ttmodels()))}async _update_ttmodels(){const{_ttmodels:e,computed_renderers:t}=this;e.clear();const{tooltips:n}=this.model;if(null!=n)for(const t of this.computed_renderers){const s=new a.Tooltip({custom:w.isString(n)||w.isFunction(n),attachment:this.model.attachment,show_arrow:this.model.show_arrow});t instanceof c.GlyphRenderer?e.set(t,s):t instanceof _.GraphRenderer&&(e.set(t.node_renderer,s),e.set(t.edge_renderer,s))}const s=await g.build_views(this._ttviews,[...e.values()],{parent:this.plot_view});for(const e of s)e.render();const o=[...function*(){for(const e of t)e instanceof c.GlyphRenderer?yield e:e instanceof _.GraphRenderer&&(yield e.node_renderer,yield e.edge_renderer)}()],i=this._slots.get(this._update);if(null!=i){const e=new Set(o.map((e=>e.data_source)));C.Signal.disconnect_receiver(this,i,e)}for(const e of o)this.connect(e.data_source.inspect,this._update)}get computed_renderers(){const{renderers:e,names:t}=this.model,n=this.plot_model.data_renderers;return S.compute_renderers(e,n,t)}get ttmodels(){return this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:n}=e;this.plot_view.frame.bbox.contains(t,n)?this._inspect(t,n):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let n;if(\"mouse\"==this.model.mode)n={type:\"point\",sx:e,sy:t};else{n={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){const t=e.get_selection_manager(),s=this.plot_view.renderer_view(e);null!=s&&t.inspect(s,n)}this._emit_callback(n)}_update([e,{geometry:t}]){var n,s;if(!this.model.active)return;if(\"point\"!=t.type&&\"span\"!=t.type)return;if(!(e instanceof c.GlyphRenderer))return;if(\"ignore\"==this.model.muted_policy&&e.muted)return;const o=this.ttmodels.get(e);if(null==o)return;const i=e.get_selection_manager();let r=i.inspectors.get(e);if(r=e.view.convert_selection_to_subset(r),r.is_empty())return void o.clear();const l=i.source,a=this.plot_view.renderer_view(e);if(null==a)return;const{sx:_,sy:d}=t,u=a.coordinates.x_scale,m=a.coordinates.y_scale,f=u.invert(_),v=m.invert(d),{glyph:w}=a,g=[];if(w instanceof p.LineView)for(const n of r.line_indices){let s,o,i=w._x[n+1],a=w._y[n+1],c=n;switch(this.model.line_policy){case\"interp\":[i,a]=w.get_interpolation_hit(n,t),s=u.compute(i),o=m.compute(a);break;case\"prev\":[[s,o],c]=R(w.sx,w.sy,n);break;case\"next\":[[s,o],c]=R(w.sx,w.sy,n+1);break;case\"nearest\":[[s,o],c]=$(n,t,_,d,w.sx,w.sy),i=w._x[c],a=w._y[c];break;default:[s,o]=[_,d]}const p={index:c,x:f,y:v,sx:_,sy:d,data_x:i,data_y:a,rx:s,ry:o,indices:r.line_indices,name:e.name};g.push([s,o,this._render_tooltips(l,c,p)])}for(const t of r.image_indices){const n={index:t.index,x:f,y:v,sx:_,sy:d,name:e.name},s=this._render_tooltips(l,t,n);g.push([_,d,s])}for(const o of r.indices)if(w instanceof h.MultiLineView&&!x.isEmpty(r.multiline_indices))for(const n of r.multiline_indices[o.toString()]){let s,i,a,p=w._xs.get(o)[n],h=w._ys.get(o)[n],y=n;switch(this.model.line_policy){case\"interp\":[p,h]=w.get_interpolation_hit(o,n,t),s=u.compute(p),i=m.compute(h);break;case\"prev\":[[s,i],y]=R(w.sxs.get(o),w.sys.get(o),n);break;case\"next\":[[s,i],y]=R(w.sxs.get(o),w.sys.get(o),n+1);break;case\"nearest\":[[s,i],y]=$(n,t,_,d,w.sxs.get(o),w.sys.get(o)),p=w._xs.get(o)[y],h=w._ys.get(o)[y];break;default:throw new Error(\"shouldn't have happened\")}a=e instanceof c.GlyphRenderer?e.view.convert_indices_from_subset([o])[0]:o;const x={index:a,x:f,y:v,sx:_,sy:d,data_x:p,data_y:h,segment_index:y,indices:r.multiline_indices,name:e.name};g.push([s,i,this._render_tooltips(l,a,x)])}else{const t=null===(n=w._x)||void 0===n?void 0:n[o],i=null===(s=w._y)||void 0===s?void 0:s[o];let a,p,h;if(\"snap_to_data\"==this.model.point_policy){let e=w.get_anchor_point(this.model.anchor,o,[_,d]);if(null==e&&(e=w.get_anchor_point(\"center\",o,[_,d]),null==e))continue;a=e.x,p=e.y}else[a,p]=[_,d];h=e instanceof c.GlyphRenderer?e.view.convert_indices_from_subset([o])[0]:o;const u={index:h,x:f,y:v,sx:_,sy:d,data_x:t,data_y:i,indices:r.indices,name:e.name};g.push([a,p,this._render_tooltips(l,h,u)])}if(0==g.length)o.clear();else{const{content:e}=o;y.empty(o.content);for(const[,,t]of g)null!=t&&e.appendChild(t);const[t,n]=g[g.length-1];o.setv({position:[t,n]},{check_eq:!1})}}_emit_callback(e){const{callback:t}=this.model;if(null!=t)for(const n of this.computed_renderers){if(!(n instanceof c.GlyphRenderer))continue;const s=this.plot_view.renderer_view(n);if(null==s)continue;const{x_scale:o,y_scale:i}=s.coordinates,r=o.invert(e.sx),l=i.invert(e.sy),a=n.data_source.inspected;t.execute(this.model,{geometry:Object.assign({x:r,y:l},e),renderer:n,index:a})}}_create_template(e){const t=y.div({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[n]of e){const e=y.div({style:{display:\"table-row\"}});t.appendChild(e);const s=y.div({style:{display:\"table-cell\"},class:T.tooltip_row_label},0!=n.length?`${n}: `:\"\");e.appendChild(s);const o=y.span();o.dataset.value=\"\";const i=y.span({class:T.tooltip_color_block},\" \");i.dataset.swatch=\"\",y.undisplay(i);const r=y.div({style:{display:\"table-cell\"},class:T.tooltip_row_value},o,i);e.appendChild(r)}return t}_render_template(e,t,n,s,o){const i=e.cloneNode(!0),r=i.querySelectorAll(\"[data-value]\"),l=i.querySelectorAll(\"[data-swatch]\"),a=/\\$color(\\[.*\\])?:(\\w*)/,c=/\\$swatch:(\\w*)/;for(const[[,e],i]of v.enumerate(t)){const t=e.match(c),_=e.match(a);if(null!=t||null!=_){if(null!=t){const[,e]=t,o=n.get_column(e);if(null==o)r[i].textContent=`${e} unknown`;else{const e=w.isNumber(s)?o[s]:null;null!=e&&(l[i].style.backgroundColor=f.color2css(e),y.display(l[i]))}}if(null!=_){const[,e=\"\",t]=_,o=n.get_column(t);if(null==o){r[i].textContent=`${t} unknown`;continue}const a=e.indexOf(\"hex\")>=0,c=e.indexOf(\"swatch\")>=0,d=w.isNumber(s)?o[s]:null;if(null==d){r[i].textContent=\"(null)\";continue}r[i].textContent=a?f.color2hex(d):f.color2css(d),c&&(l[i].style.backgroundColor=f.color2css(d),y.display(l[i]))}}else{const t=m.replace_placeholders(e.replace(\"$~\",\"$data_\"),n,s,this.model.formatters,o);if(w.isString(t))r[i].textContent=t;else for(const e of t)r[i].appendChild(e)}}return i}_render_tooltips(e,t,n){var s;const{tooltips:o}=this.model;if(w.isString(o)){const s=m.replace_placeholders({html:o},e,t,this.model.formatters,n);return y.div({},s)}if(w.isFunction(o))return o(e,n);if(null!=o){const i=null!==(s=this._template_el)&&void 0!==s?s:this._template_el=this._create_template(o);return this._render_template(i,o,e,t,n)}return null}}n.HoverToolView=H,H.__name__=\"HoverToolView\";class M extends r.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=k.tool_icon_hover}static init_HoverTool(){this.prototype.default_view=H,this.define((({Any:e,Boolean:t,String:n,Array:s,Tuple:o,Dict:i,Or:r,Ref:a,Function:c,Auto:_,Nullable:p})=>({tooltips:[p(r(n,s(o(n,n)),c())),[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[i(r(a(l.CustomJSHover),m.FormatterType)),{}],renderers:[r(s(a(d.DataRenderer)),_),\"auto\"],names:[s(n),[]],mode:[b.HoverMode,\"mouse\"],muted_policy:[b.MutedPolicy,\"show\"],point_policy:[b.PointPolicy,\"snap_to_data\"],line_policy:[b.LinePolicy,\"nearest\"],show_arrow:[t,!0],anchor:[b.Anchor,\"center\"],attachment:[b.TooltipAttachment,\"horizontal\"],callback:[p(e)]}))),this.register_alias(\"hover\",(()=>new M))}}n.HoverTool=M,M.__name__=\"HoverTool\",M.init_HoverTool()},\n", " function _(t,o,e,n,i){n();const s=t(15),l=t(53),c=t(238),r=t(247),a=t(245);class u extends l.Model{constructor(t){super(t)}static init_ToolProxy(){this.define((({Boolean:t,Array:o,Ref:e})=>({tools:[o(e(c.ButtonTool)),[]],active:[t,!1],disabled:[t,!1]})))}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof r.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new s.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,(()=>this.doit())),this.connect(this.properties.active.change,(()=>this.set_active()));for(const t of this.tools)this.connect(t.properties.active.change,(()=>{this.active=t.active}))}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,n]of a.enumerate(t))if(null==e)o.push(null);else{const t=()=>{var t,o;for(const e of this.tools)null===(o=null===(t=e.menu)||void 0===t?void 0:t[n])||void 0===o||o.handler()};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=u,u.__name__=\"ToolProxy\",u.init_ToolProxy()},\n", " function _(o,t,s,i,e){i();const n=o(20),r=o(9),l=o(13),c=o(248),h=o(235),a=o(392),_=o(319),p=o(221);class f extends c.ToolbarBase{constructor(o){super(o)}static init_ProxyToolbar(){this.define((({Array:o,Ref:t})=>({toolbars:[o(t(h.Toolbar)),[]]})))}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const o={},t={},s={},i=[],e=[];for(const o of this.help)r.includes(e,o.redirect)||(i.push(o),e.push(o.redirect));this._proxied_tools.push(...i),this.help=i;for(const[o,t]of l.entries(this.gestures)){o in s||(s[o]={});for(const i of t.tools)i.type in s[o]||(s[o][i.type]=[]),s[o][i.type].push(i)}for(const t of this.inspectors)t.type in o||(o[t.type]=[]),o[t.type].push(t);for(const o of this.actions)o.type in t||(t[o.type]=[]),t[o.type].push(o);const n=(o,t=!1)=>{const s=new a.ToolProxy({tools:o,active:t});return this._proxied_tools.push(s),s};for(const o of l.keys(s)){const t=this.gestures[o];t.tools=[];for(const i of l.keys(s[o])){const e=s[o][i];if(e.length>0)if(\"multi\"==o)for(const o of e){const s=n([o]);t.tools.push(s),this.connect(s.properties.active.change,(()=>this._active_change(s)))}else{const o=n(e);t.tools.push(o),this.connect(o.properties.active.change,(()=>this._active_change(o)))}}}this.actions=[];for(const[o,s]of l.entries(t))if(\"CustomAction\"==o)for(const o of s)this.actions.push(n([o]));else s.length>0&&this.actions.push(n(s));this.inspectors=[];for(const t of l.values(o))t.length>0&&this.inspectors.push(n(t,!0));for(const[o,t]of l.entries(this.gestures))0!=t.tools.length&&(t.tools=r.sort_by(t.tools,(o=>o.default_order)),\"pinch\"!=o&&\"scroll\"!=o&&\"multi\"!=o&&(t.tools[0].active=!0))}}s.ProxyToolbar=f,f.__name__=\"ProxyToolbar\",f.init_ProxyToolbar();class u extends _.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new p.ContentBox(this.child_views[0].el);const{toolbar:o}=this.model;o.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}}s.ToolbarBoxView=u,u.__name__=\"ToolbarBoxView\";class y extends _.LayoutDOM{constructor(o){super(o)}static init_ToolbarBox(){this.prototype.default_view=u,this.define((({Ref:o})=>({toolbar:[o(c.ToolbarBase)],toolbar_location:[n.Location,\"right\"]})))}}s.ToolbarBox=y,y.__name__=\"ToolbarBox\",y.init_ToolbarBox()},\n", " function _(e,n,r,t,o){t();const s=e(1),u=e(53),c=s.__importStar(e(21)),a=e(8),l=e(13);r.resolve_defs=function(e,n){var r,t,o,s;function i(e){return null!=e.module?`${e.module}.${e.name}`:e.name}function f(e){if(a.isString(e))switch(e){case\"Any\":return c.Any;case\"Unknown\":return c.Unknown;case\"Boolean\":return c.Boolean;case\"Number\":return c.Number;case\"Int\":return c.Int;case\"String\":return c.String;case\"Null\":return c.Null}else switch(e[0]){case\"Nullable\":{const[,n]=e;return c.Nullable(f(n))}case\"Or\":{const[,...n]=e;return c.Or(...n.map(f))}case\"Tuple\":{const[,n,...r]=e;return c.Tuple(f(n),...r.map(f))}case\"Array\":{const[,n]=e;return c.Array(f(n))}case\"Struct\":{const[,...n]=e,r=n.map((([e,n])=>[e,f(n)]));return c.Struct(l.to_object(r))}case\"Dict\":{const[,n]=e;return c.Dict(f(n))}case\"Map\":{const[,n,r]=e;return c.Map(f(n),f(r))}case\"Enum\":{const[,...n]=e;return c.Enum(...n)}case\"Ref\":{const[,r]=e,t=n.get(i(r));if(null!=t)return c.Ref(t);throw new Error(`${i(r)} wasn't defined before referencing it`)}case\"AnyRef\":return c.AnyRef()}}for(const c of e){const e=(()=>{if(null==c.extends)return u.Model;{const e=n.get(i(c.extends));if(null!=e)return e;throw new Error(`base model ${i(c.extends)} of ${i(c)} is not defined`)}})(),a=((s=class extends e{}).__name__=c.name,s.__module__=c.module,s);for(const e of null!==(r=c.properties)&&void 0!==r?r:[]){const n=f(null!==(t=e.kind)&&void 0!==t?t:\"Unknown\");a.define({[e.name]:[n,e.default]})}for(const e of null!==(o=c.overrides)&&void 0!==o?o:[])a.override({[e.name]:e.default});n.register(a)}}},\n", " function _(n,e,t,o,i){o();const d=n(5),c=n(240),s=n(122),a=n(43),l=n(396);t.index={},t.add_document_standalone=async function(n,e,o=[],i=!1){const u=new Map;async function f(i){let d;const f=n.roots().indexOf(i),r=o[f];null!=r?d=r:e.classList.contains(l.BOKEH_ROOT)?d=e:(d=a.div({class:l.BOKEH_ROOT}),e.appendChild(d));const w=await s.build_view(i,{parent:null});return w instanceof c.DOMView&&w.renderTo(d),u.set(i,w),t.index[i.id]=w,w}for(const e of n.roots())await f(e);return i&&(window.document.title=n.title()),n.on_change((n=>{n instanceof d.RootAddedEvent?f(n.model):n instanceof d.RootRemovedEvent?function(n){const e=u.get(n);null!=e&&(e.remove(),u.delete(n),delete t.index[n.id])}(n.model):i&&n instanceof d.TitleChangedEvent&&(window.document.title=n.title)})),[...u.values()]}},\n", " function _(o,e,n,t,r){t();const l=o(43),d=o(44);function u(o){let e=document.getElementById(o);if(null==e)throw new Error(`Error rendering Bokeh model: could not find #${o} HTML tag`);if(!document.body.contains(e))throw new Error(`Error rendering Bokeh model: element #${o} must be under `);if(\"SCRIPT\"==e.tagName){const o=l.div({class:n.BOKEH_ROOT});l.replaceWith(e,o),e=o}return e}n.BOKEH_ROOT=d.root,n._resolve_element=function(o){const{elementid:e}=o;return null!=e?u(e):document.body},n._resolve_root_elements=function(o){const e=[];if(null!=o.root_ids&&null!=o.roots)for(const n of o.root_ids)e.push(u(o.roots[n]));return e}},\n", " function _(n,o,t,s,e){s();const c=n(398),r=n(19),a=n(395);t._get_ws_url=function(n,o){let t,s=\"ws:\";return\"https:\"==window.location.protocol&&(s=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),s+\"//\"+t.host+n+\"/ws\"};const i={};t.add_document_from_session=async function(n,o,t,s=[],e=!1){const l=window.location.search.substr(1);let d;try{d=await function(n,o,t){const s=c.parse_token(o).session_id;n in i||(i[n]={});const e=i[n];return s in e||(e[s]=c.pull_session(n,o,t)),e[s]}(n,o,l)}catch(n){const t=c.parse_token(o).session_id;throw r.logger.error(`Failed to load Bokeh session 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connection was already closed\"),s(new Error(\"The connection has been closed\"));else{const s=i.Document.from_json(n),t=i.Document._compute_patch_since_json(n,s);if(t.events.length>0){r.logger.debug(`Sending ${t.events.length} changes from model construction back to server`);const e=c.Message.create(\"PATCH-DOC\",{},t);this.send(e)}this.session=new _.ClientSession(this,s,this.id);for(const e of this._pending_messages)this.session.handle(e);this._pending_messages=[],r.logger.debug(\"Created a new session from new pulled doc\"),e(this.session)}else this.session.document.replace_with_json(n),r.logger.debug(\"Updated existing session with new pulled doc\")}catch(e){null===(n=console.trace)||void 0===n||n.call(console,e),r.logger.error(`Failed to repull session ${e}`),s(e instanceof Error?e:`${e}`)}}_on_open(e,s){r.logger.info(`Websocket connection ${this._number} is now open`),this._current_handler=n=>{this._awaiting_ack_handler(n,e,s)}}_on_message(e){null==this._current_handler&&r.logger.error(\"Got a message with no current handler set\");try{this._receiver.consume(e.data)}catch(e){this._close_bad_protocol(`${e}`)}const s=this._receiver.message;if(null!=s){const e=s.problem();null!=e&&this._close_bad_protocol(e),this._current_handler(s)}}_on_close(e,s){r.logger.info(`Lost websocket ${this._number} connection, ${e.code} (${e.reason})`),this.socket=null,this._pending_replies.forEach((e=>e.reject(\"Disconnected\"))),this._pending_replies.clear(),this.closed_permanently||this._schedule_reconnect(2e3),s(new Error(`Lost websocket connection, ${e.code} (${e.reason})`))}_on_error(e){r.logger.debug(`Websocket error on socket ${this._number}`);const s=\"Could not open websocket\";r.logger.error(`Failed to connect to Bokeh server: ${s}`),e(new Error(s))}_close_bad_protocol(e){r.logger.error(`Closing connection: 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this.request_server_info()}_document_changed(e){if(e.setter_id===this.id)return;const t=e instanceof c.DocumentEventBatch?e.events:[e],n=this.document.create_json_patch(t),s=i.Message.create(\"PATCH-DOC\",{},n);this._connection.send(s)}_handle_patch(e){this.document.apply_json_patch(e.content,e.buffers,this.id)}_handle_ok(e){_.logger.trace(`Unhandled OK reply to ${e.reqid()}`)}_handle_error(e){_.logger.error(`Unhandled ERROR reply to ${e.reqid()}: ${e.content.text}`)}}n.ClientSession=r,r.__name__=\"ClientSession\"},\n", " function _(e,o,t,n,r){n();const s=e(1),l=e(5),i=e(400),a=e(19),c=e(43),g=e(13),f=e(395),u=e(396),m=s.__importDefault(e(44)),p=s.__importDefault(e(253)),d=s.__importDefault(e(403));function _(e,o){o.buffers.length>0?e.consume(o.buffers[0].buffer):e.consume(o.content.data);const t=e.message;null!=t&&this.apply_json_patch(t.content,t.buffers)}function b(e,o){if(\"undefined\"!=typeof Jupyter&&null!=Jupyter.notebook.kernel){a.logger.info(`Registering Jupyter comms for 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permission.\n", " * \n", " * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n", " * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n", " * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n", " * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n", " * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n", " * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n", " * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n", " * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n", " * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n", " * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n", " * THE POSSIBILITY OF SUCH DAMAGE.\n", " */\n", " (function(root, factory) {\n", " factory(root[\"Bokeh\"], \"2.3.3\");\n", " })(this, function(Bokeh, version) {\n", " var define;\n", " return (function(modules, entry, aliases, externals) {\n", " const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? 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u.TextLikeInput{constructor(t){super(t)}static init_TextInput(){this.prototype.default_view=a}}n.TextInput=c,c.__name__=\"TextInput\",c.init_TextInput()},\n", " 425: function _(e,t,n,i,l){i();const s=e(426);class h extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.value.change,(()=>this.input_el.value=this.model.value)),this.connect(this.model.properties.value_input.change,(()=>this.input_el.value=this.model.value_input)),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled)),this.connect(this.model.properties.placeholder.change,(()=>this.input_el.placeholder=this.model.placeholder)),this.connect(this.model.properties.max_length.change,(()=>{const{max_length:e}=this.model;null!=e?this.input_el.maxLength=e:this.input_el.removeAttribute(\"maxLength\")}))}render(){var e;super.render(),this._render_input();const{input_el:t}=this;t.name=null!==(e=this.model.name)&&void 0!==e?e:\"\",t.value=this.model.value,t.disabled=this.model.disabled,t.placeholder=this.model.placeholder,null!=this.model.max_length&&(t.maxLength=this.model.max_length),t.addEventListener(\"change\",(()=>this.change_input())),t.addEventListener(\"input\",(()=>this.change_input_value())),this.group_el.appendChild(t)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_value(){this.model.value_input=this.input_el.value,super.change_input()}}n.TextLikeInputView=h,h.__name__=\"TextLikeInputView\";class a extends s.InputWidget{constructor(e){super(e)}static init_TextLikeInput(){this.define((({Int:e,String:t,Nullable:n})=>({value:[t,\"\"],value_input:[t,\"\"],placeholder:[t,\"\"],max_length:[n(e),null]})))}}n.TextLikeInput=a,a.__name__=\"TextLikeInput\",a.init_TextLikeInput()},\n", " 426: function _(t,e,i,n,s){n();const l=t(1),o=t(420),r=t(43),_=l.__importStar(t(427)),p=_;class d extends o.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,(()=>{this.label_el.textContent=this.model.title}))}styles(){return[...super.styles(),_.default]}render(){super.render();const{title:t}=this.model;this.label_el=r.label({style:{display:0==t.length?\"none\":\"\"}},t),this.group_el=r.div({class:p.input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}i.InputWidgetView=d,d.__name__=\"InputWidgetView\";class u extends o.Control{constructor(t){super(t)}static init_InputWidget(){this.define((({String:t})=>({title:[t,\"\"]})))}}i.InputWidget=u,u.__name__=\"InputWidget\",u.init_InputWidget()},\n", " 427: function _(o,i,t,n,p){n(),t.root=\"bk-root\",t.input=\"bk-input\",t.input_group=\"bk-input-group\",t.inline=\"bk-inline\",t.spin_wrapper=\"bk-spin-wrapper\",t.spin_btn=\"bk-spin-btn\",t.spin_btn_up=\"bk-spin-btn-up\",t.spin_btn_down=\"bk-spin-btn-down\",t.default='.bk-root .bk-input{display:inline-block;width:100%;flex-grow:1;-webkit-flex-grow:1;min-height:31px;padding:0 12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;}.bk-root .bk-input:focus{border-color:#66afe9;outline:0;box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);}.bk-root .bk-input::placeholder,.bk-root .bk-input:-ms-input-placeholder,.bk-root .bk-input::-moz-placeholder,.bk-root .bk-input::-webkit-input-placeholder{color:#999;opacity:1;}.bk-root .bk-input[disabled]{cursor:not-allowed;background-color:#eee;opacity:1;}.bk-root select:not([multiple]).bk-input,.bk-root select:not([size]).bk-input{height:auto;appearance:none;-webkit-appearance:none;background-image:url(\\'data:image/svg+xml;utf8,\\');background-position:right 0.5em center;background-size:8px 6px;background-repeat:no-repeat;}.bk-root select[multiple].bk-input,.bk-root select[size].bk-input,.bk-root textarea.bk-input{height:auto;}.bk-root .bk-input-group{width:100%;height:100%;display:inline-flex;display:-webkit-inline-flex;flex-wrap:nowrap;-webkit-flex-wrap:nowrap;align-items:start;-webkit-align-items:start;flex-direction:column;-webkit-flex-direction:column;white-space:nowrap;}.bk-root .bk-input-group.bk-inline{flex-direction:row;-webkit-flex-direction:row;}.bk-root .bk-input-group.bk-inline > *:not(:first-child){margin-left:5px;}.bk-root .bk-input-group input[type=\"checkbox\"] + span,.bk-root .bk-input-group input[type=\"radio\"] + span{position:relative;top:-2px;margin-left:3px;}.bk-root .bk-input-group > .bk-spin-wrapper{display:inherit;width:inherit;height:inherit;position:relative;overflow:hidden;padding:0;vertical-align:middle;}.bk-root .bk-input-group > .bk-spin-wrapper input{padding-right:20px;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn{position:absolute;display:block;height:50%;min-height:0;min-width:0;width:30px;padding:0;margin:0;right:0;border:none;background:none;cursor:pointer;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn:before{content:\"\";display:inline-block;transform:translateY(-50%);border-left:5px solid transparent;border-right:5px solid transparent;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up{top:0;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:before{border-bottom:5px solid black;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:disabled:before{border-bottom-color:grey;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down{bottom:0;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:before{border-top:5px solid black;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:disabled:before{border-top-color:grey;}'},\n", " 428: function _(t,e,n,i,o){i();const s=t(419),u=t(264);class c extends s.AbstractButtonView{click(){this.model.trigger_event(new u.ButtonClick),super.click()}}n.ButtonView=c,c.__name__=\"ButtonView\";class _ extends s.AbstractButton{constructor(t){super(t)}static init_Button(){this.prototype.default_view=c,this.override({label:\"Button\"})}}n.Button=_,_.__name__=\"Button\",_.init_Button()},\n", " 429: function _(t,e,o,i,c){i();const n=t(1),s=t(430),a=t(43),u=n.__importStar(t(328));class r extends s.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach(((e,o)=>{a.classes(e).toggle(u.active,t.has(o))}))}}o.CheckboxButtonGroupView=r,r.__name__=\"CheckboxButtonGroupView\";class _ extends s.ButtonGroup{constructor(t){super(t)}static init_CheckboxButtonGroup(){this.prototype.default_view=r,this.define((({Int:t,Array:e})=>({active:[e(t),[]]})))}}o.CheckboxButtonGroup=_,_.__name__=\"CheckboxButtonGroup\",_.init_CheckboxButtonGroup()},\n", " 430: function _(t,e,n,s,i){s();const o=t(1),r=t(420),u=t(20),a=t(43),_=o.__importStar(t(328)),l=_;class c extends r.ControlView{*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,(()=>this.render())),this.on_change(t.labels,(()=>this.render())),this.on_change(t.active,(()=>this._update_active()))}styles(){return[...super.styles(),_.default]}render(){super.render(),this._buttons=this.model.labels.map(((t,e)=>{const n=a.div({class:[l.btn,l[`btn_${this.model.button_type}`]],disabled:this.model.disabled},t);return n.addEventListener(\"click\",(()=>this.change_active(e))),n})),this._update_active();const t=a.div({class:l.btn_group},this._buttons);this.el.appendChild(t)}}n.ButtonGroupView=c,c.__name__=\"ButtonGroupView\";class d extends r.Control{constructor(t){super(t)}static init_ButtonGroup(){this.define((({String:t,Array:e})=>({labels:[e(t),[]],button_type:[u.ButtonType,\"default\"]})))}}n.ButtonGroup=d,d.__name__=\"ButtonGroup\",d.init_ButtonGroup()},\n", " 431: function _(e,t,i,n,s){n();const o=e(1),c=e(432),a=e(43),l=e(9),d=o.__importStar(e(427));class h extends c.InputGroupView{render(){super.render();const e=a.div({class:[d.input_group,this.model.inline?d.inline:null]});this.el.appendChild(e);const{active:t,labels:i}=this.model;this._inputs=[];for(let n=0;nthis.change_active(n))),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),l.includes(t,n)&&(s.checked=!0);const o=a.label({},s,a.span({},i[n]));e.appendChild(o)}}change_active(e){const t=new Set(this.model.active);t.has(e)?t.delete(e):t.add(e),this.model.active=[...t].sort()}}i.CheckboxGroupView=h,h.__name__=\"CheckboxGroupView\";class p extends c.InputGroup{constructor(e){super(e)}static init_CheckboxGroup(){this.prototype.default_view=h,this.define((({Boolean:e,Int:t,String:i,Array:n})=>({active:[n(t),[]],labels:[n(i),[]],inline:[e,!1]})))}}i.CheckboxGroup=p,p.__name__=\"CheckboxGroup\",p.init_CheckboxGroup()},\n", " 432: function _(n,t,e,s,o){s();const r=n(1),u=n(420),c=r.__importDefault(n(427));class _ extends u.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}styles(){return[...super.styles(),c.default]}}e.InputGroupView=_,_.__name__=\"InputGroupView\";class i extends u.Control{constructor(n){super(n)}}e.InputGroup=i,i.__name__=\"InputGroup\"},\n", " 433: function _(e,i,t,n,o){n();const s=e(1),l=e(426),r=e(43),c=e(22),a=s.__importStar(e(427));class d extends l.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.color.change,(()=>this.input_el.value=c.color2hexrgb(this.model.color))),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled))}render(){super.render(),this.input_el=r.input({type:\"color\",class:a.input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}t.ColorPickerView=d,d.__name__=\"ColorPickerView\";class h extends l.InputWidget{constructor(e){super(e)}static init_ColorPicker(){this.prototype.default_view=d,this.define((({Color:e})=>({color:[e,\"#000000\"]})))}}t.ColorPicker=h,h.__name__=\"ColorPicker\",h.init_ColorPicker()},\n", " 434: function _(e,t,i,n,s){n();const a=e(1),l=a.__importDefault(e(435)),o=e(426),d=e(43),r=e(20),c=e(8),h=a.__importStar(e(427)),u=a.__importDefault(e(436));function _(e){const t=[];for(const i of e)if(c.isString(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class p extends o.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.setDate(this.model.value)})),this.connect(t.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",this.model.min_date)})),this.connect(i.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",this.model.max_date)})),this.connect(n.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",this.model.disabled_dates)})),this.connect(s.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",this.model.enabled_dates)})),this.connect(a.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",this.model.position)})),this.connect(l.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",this.model.inline)}))}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),u.default]}render(){var e,t;null==this._picker&&(super.render(),this.input_el=d.input({type:\"text\",class:h.input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=l.default(this.input_el,{defaultDate:this.model.value,minDate:null!==(e=this.model.min_date)&&void 0!==e?e:void 0,maxDate:null!==(t=this.model.max_date)&&void 0!==t?t:void 0,inline:this.model.inline,position:this.model.position,disable:_(this.model.disabled_dates),enable:_(this.model.enabled_dates),onChange:(e,t,i)=>this._on_change(e,t,i)}))}_on_change(e,t,i){this.model.value=t,this.change_input()}}i.DatePickerView=p,p.__name__=\"DatePickerView\";class m extends o.InputWidget{constructor(e){super(e)}static init_DatePicker(){this.prototype.default_view=p,this.define((({Boolean:e,String:t,Array:i,Tuple:n,Or:s,Nullable:a})=>{const l=i(s(t,n(t,t)));return{value:[t],min_date:[a(t),null],max_date:[a(t),null],disabled_dates:[l,[]],enabled_dates:[l,[]],position:[r.CalendarPosition,\"auto\"],inline:[e,!1]}}))}}i.DatePicker=m,m.__name__=\"DatePicker\",m.init_DatePicker()},\n", " 435: function _(e,n,t,a,i){\n", " /* flatpickr v4.6.6, @license MIT */var o,r;o=this,r=function(){\"use strict\";\n", " /*! *****************************************************************************\n", " Copyright (c) Microsoft Corporation.\n", " \n", " Permission to use, copy, modify, and/or distribute this software for any\n", " purpose with or without fee is hereby granted.\n", " \n", " THE SOFTWARE IS PROVIDED \"AS IS\" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH\n", " REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY\n", " AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,\n", " INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM\n", " LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR\n", " OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR\n", " PERFORMANCE OF THIS SOFTWARE.\n", " ***************************************************************************** */var e=function(){return(e=Object.assign||function(e){for(var n,t=1,a=arguments.length;t\",noCalendar:!1,now:new Date,onChange:[],onClose:[],onDayCreate:[],onDestroy:[],onKeyDown:[],onMonthChange:[],onOpen:[],onParseConfig:[],onReady:[],onValueUpdate:[],onYearChange:[],onPreCalendarPosition:[],plugins:[],position:\"auto\",positionElement:void 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Date(parseFloat(n))},w:p,y:function(e,n){e.setFullYear(2e3+parseFloat(n))}},D={D:\"(\\\\w+)\",F:\"(\\\\w+)\",G:\"(\\\\d\\\\d|\\\\d)\",H:\"(\\\\d\\\\d|\\\\d)\",J:\"(\\\\d\\\\d|\\\\d)\\\\w+\",K:\"\",M:\"(\\\\w+)\",S:\"(\\\\d\\\\d|\\\\d)\",U:\"(.+)\",W:\"(\\\\d\\\\d|\\\\d)\",Y:\"(\\\\d{4})\",Z:\"(.+)\",d:\"(\\\\d\\\\d|\\\\d)\",h:\"(\\\\d\\\\d|\\\\d)\",i:\"(\\\\d\\\\d|\\\\d)\",j:\"(\\\\d\\\\d|\\\\d)\",l:\"(\\\\w+)\",m:\"(\\\\d\\\\d|\\\\d)\",n:\"(\\\\d\\\\d|\\\\d)\",s:\"(\\\\d\\\\d|\\\\d)\",u:\"(.+)\",w:\"(\\\\d\\\\d|\\\\d)\",y:\"(\\\\d{2})\"},w={Z:function(e){return e.toISOString()},D:function(e,n,t){return n.weekdays.shorthand[w.w(e,n,t)]},F:function(e,n,t){return h(w.n(e,n,t)-1,!1,n)},G:function(e,n,t){return o(w.h(e,n,t))},H:function(e){return o(e.getHours())},J:function(e,n){return void 0!==n.ordinal?e.getDate()+n.ordinal(e.getDate()):e.getDate()},K:function(e,n){return n.amPM[r(e.getHours()>11)]},M:function(e,n){return h(e.getMonth(),!0,n)},S:function(e){return 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n=g(e),t=V(n),a=n===w.input||n===w.altInput||w.element.contains(n)||e.path&&e.path.indexOf&&(~e.path.indexOf(w.input)||~e.path.indexOf(w.altInput)),i=\"blur\"===e.type?a&&e.relatedTarget&&!V(e.relatedTarget):!a&&!t&&!V(e.relatedTarget),o=!w.config.ignoredFocusElements.some((function(e){return e.contains(n)}));i&&o&&(void 0!==w.timeContainer&&void 0!==w.minuteElement&&void 0!==w.hourElement&&\"\"!==w.input.value&&void 0!==w.input.value&&T(),w.close(),w.config&&\"range\"===w.config.mode&&1===w.selectedDates.length&&(w.clear(!1),w.redraw()))}}function Q(e){if(!(!e||w.config.minDate&&ew.config.maxDate.getFullYear())){var n=e,t=w.currentYear!==n;w.currentYear=n||w.currentYear,w.config.maxDate&&w.currentYear===w.config.maxDate.getFullYear()?w.currentMonth=Math.min(w.config.maxDate.getMonth(),w.currentMonth):w.config.minDate&&w.currentYear===w.config.minDate.getFullYear()&&(w.currentMonth=Math.max(w.config.minDate.getMonth(),w.currentMonth)),t&&(w.redraw(),pe(\"onYearChange\"),K())}}function 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e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?w.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:w.parseDate(e.from,void 0),to:w.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function pe(e,n){if(void 0!==w.config){var t=w.config[e];if(void 0!==t&&t.length>0)for(var a=0;t[a]&&a1||\"static\"===w.config.monthSelectorType?w.monthElements[n].textContent=h(t.getMonth(),w.config.shorthandCurrentMonth,w.l10n)+\" \":w.monthsDropdownContainer.value=t.getMonth().toString(),e.value=t.getFullYear().toString()})),w._hidePrevMonthArrow=void 0!==w.config.minDate&&(w.currentYear===w.config.minDate.getFullYear()?w.currentMonth<=w.config.minDate.getMonth():w.currentYearw.config.maxDate.getMonth():w.currentYear>w.config.maxDate.getFullYear()))}function we(e){return w.selectedDates.map((function(n){return w.formatDate(n,e)})).filter((function(e,n,t){return\"range\"!==w.config.mode||w.config.enableTime||t.indexOf(e)===n})).join(\"range\"!==w.config.mode?w.config.conjunction:w.l10n.rangeSeparator)}function be(e){void 0===e&&(e=!0),void 0!==w.mobileInput&&w.mobileFormatStr&&(w.mobileInput.value=void 0!==w.latestSelectedDateObj?w.formatDate(w.latestSelectedDateObj,w.mobileFormatStr):\"\"),w.input.value=we(w.config.dateFormat),void 0!==w.altInput&&(w.altInput.value=we(w.config.altFormat)),!1!==e&&pe(\"onValueUpdate\")}function Ce(e){var n=g(e),t=w.prevMonthNav.contains(n),a=w.nextMonthNav.contains(n);t||a?G(t?-1:1):w.yearElements.indexOf(n)>=0?n.select():n.classList.contains(\"arrowUp\")?w.changeYear(w.currentYear+1):n.classList.contains(\"arrowDown\")&&w.changeYear(w.currentYear-1)}return function(){w.element=w.input=p,w.isOpen=!1,function(){var n=[\"wrap\",\"weekNumbers\",\"allowInput\",\"allowInvalidPreload\",\"clickOpens\",\"time_24hr\",\"enableTime\",\"noCalendar\",\"altInput\",\"shorthandCurrentMonth\",\"inline\",\"static\",\"enableSeconds\",\"disableMobile\"],i=e(e({},JSON.parse(JSON.stringify(p.dataset||{}))),v),o={};w.config.parseDate=i.parseDate,w.config.formatDate=i.formatDate,Object.defineProperty(w.config,\"enable\",{get:function(){return w.config._enable},set:function(e){w.config._enable=ge(e)}}),Object.defineProperty(w.config,\"disable\",{get:function(){return w.config._disable},set:function(e){w.config._disable=ge(e)}});var r=\"time\"===i.mode;if(!i.dateFormat&&(i.enableTime||r)){var l=k.defaultConfig.dateFormat||a.dateFormat;o.dateFormat=i.noCalendar||r?\"H:i\"+(i.enableSeconds?\":S\":\"\"):l+\" H:i\"+(i.enableSeconds?\":S\":\"\")}if(i.altInput&&(i.enableTime||r)&&!i.altFormat){var d=k.defaultConfig.altFormat||a.altFormat;o.altFormat=i.noCalendar||r?\"h:i\"+(i.enableSeconds?\":S K\":\" K\"):d+\" h:i\"+(i.enableSeconds?\":S\":\"\")+\" K\"}Object.defineProperty(w.config,\"minDate\",{get:function(){return w.config._minDate},set:oe(\"min\")}),Object.defineProperty(w.config,\"maxDate\",{get:function(){return w.config._maxDate},set:oe(\"max\")});var s=function(e){return function(n){w.config[\"min\"===e?\"_minTime\":\"_maxTime\"]=w.parseDate(n,\"H:i:S\")}};Object.defineProperty(w.config,\"minTime\",{get:function(){return w.config._minTime},set:s(\"min\")}),Object.defineProperty(w.config,\"maxTime\",{get:function(){return w.config._maxTime},set:s(\"max\")}),\"time\"===i.mode&&(w.config.noCalendar=!0,w.config.enableTime=!0),Object.assign(w.config,o,i);for(var u=0;u-1?w.config[m]=c(f[m]).map(x).concat(w.config[m]):void 0===i[m]&&(w.config[m]=f[m])}i.altInputClass||(w.config.altInputClass=re().className+\" 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e=w.config.defaultDate||(\"INPUT\"!==w.input.nodeName&&\"TEXTAREA\"!==w.input.nodeName||!w.input.placeholder||w.input.value!==w.input.placeholder?w.input.value:null);e&&me(e,w.config.dateFormat),w._initialDate=w.selectedDates.length>0?w.selectedDates[0]:w.config.minDate&&w.config.minDate.getTime()>w.now.getTime()?w.config.minDate:w.config.maxDate&&w.config.maxDate.getTime()0&&(w.latestSelectedDateObj=w.selectedDates[0]),void 0!==w.config.minTime&&(w.config.minTime=w.parseDate(w.config.minTime,\"H:i\")),void 0!==w.config.maxTime&&(w.config.maxTime=w.parseDate(w.config.maxTime,\"H:i\")),w.minDateHasTime=!!w.config.minDate&&(w.config.minDate.getHours()>0||w.config.minDate.getMinutes()>0||w.config.minDate.getSeconds()>0),w.maxDateHasTime=!!w.config.maxDate&&(w.config.maxDate.getHours()>0||w.config.maxDate.getMinutes()>0||w.config.maxDate.getSeconds()>0)}(),w.utils={getDaysInMonth:function(e,n){return void 0===e&&(e=w.currentMonth),void 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w.__hideNextMonthArrow},set:function(e){w.__hideNextMonthArrow!==e&&(d(w.nextMonthNav,\"flatpickr-disabled\",e),w.__hideNextMonthArrow=e)}}),w.currentYearElement=w.yearElements[0],De(),w.monthNav)),w.innerContainer=s(\"div\",\"flatpickr-innerContainer\"),w.config.weekNumbers){var n=function(){w.calendarContainer.classList.add(\"hasWeeks\");var e=s(\"div\",\"flatpickr-weekwrapper\");e.appendChild(s(\"span\",\"flatpickr-weekday\",w.l10n.weekAbbreviation));var n=s(\"div\",\"flatpickr-weeks\");return e.appendChild(n),{weekWrapper:e,weekNumbers:n}}(),t=n.weekWrapper,a=n.weekNumbers;w.innerContainer.appendChild(t),w.weekNumbers=a,w.weekWrapper=t}w.rContainer=s(\"div\",\"flatpickr-rContainer\"),w.rContainer.appendChild($()),w.daysContainer||(w.daysContainer=s(\"div\",\"flatpickr-days\"),w.daysContainer.tabIndex=-1),J(),w.rContainer.appendChild(w.daysContainer),w.innerContainer.appendChild(w.rContainer),e.appendChild(w.innerContainer)}w.config.enableTime&&e.appendChild(function(){w.calendarContainer.classList.add(\"hasTime\"),w.config.noCalendar&&w.calendarContainer.classList.add(\"noCalendar\"),w.timeContainer=s(\"div\",\"flatpickr-time\"),w.timeContainer.tabIndex=-1;var e=s(\"span\",\"flatpickr-time-separator\",\":\"),n=m(\"flatpickr-hour\",{\"aria-label\":w.l10n.hourAriaLabel});w.hourElement=n.getElementsByTagName(\"input\")[0];var t=m(\"flatpickr-minute\",{\"aria-label\":w.l10n.minuteAriaLabel});if(w.minuteElement=t.getElementsByTagName(\"input\")[0],w.hourElement.tabIndex=w.minuteElement.tabIndex=-1,w.hourElement.value=o(w.latestSelectedDateObj?w.latestSelectedDateObj.getHours():w.config.time_24hr?w.config.defaultHour:function(e){switch(e%24){case 0:case 12:return 12;default:return 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C(t){if(function(t){return\"object\"==typeof t&&\"function\"==typeof t.to&&\"function\"==typeof t.from}(t))return!0;throw new Error(\"noUiSlider (14.6.3): 'format' requires 'to' and 'from' methods.\")}function P(t,e){if(!i(e))throw new Error(\"noUiSlider (14.6.3): 'step' is not numeric.\");t.singleStep=e}function N(t,e){if(!i(e))throw new Error(\"noUiSlider (14.6.3): 'keyboardPageMultiplier' is not numeric.\");t.keyboardPageMultiplier=e}function k(t,e){if(!i(e))throw new Error(\"noUiSlider (14.6.3): 'keyboardDefaultStep' is not numeric.\");t.keyboardDefaultStep=e}function U(t,e){if(\"object\"!=typeof e||Array.isArray(e))throw new Error(\"noUiSlider (14.6.3): 'range' is not an object.\");if(void 0===e.min||void 0===e.max)throw new Error(\"noUiSlider (14.6.3): Missing 'min' or 'max' in 'range'.\");if(e.min===e.max)throw new Error(\"noUiSlider (14.6.3): 'range' 'min' and 'max' cannot be equal.\");t.spectrum=new x(e,t.snap,t.singleStep)}function 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u(v=w,r.cssClasses.target),0===r.dir?u(v,r.cssClasses.ltr):u(v,r.cssClasses.rtl),0===r.ort?u(v,r.cssClasses.horizontal):u(v,r.cssClasses.vertical),u(v,\"rtl\"===getComputedStyle(v).direction?r.cssClasses.textDirectionRtl:r.cssClasses.textDirectionLtr),l=L(v,r.cssClasses.base),function(t,e){var n=L(e,r.cssClasses.connects);f=[],(d=[]).push(H(n,t[0]));for(var i=0;i=0&&t .noUi-tooltip{-webkit-transform:translate(50%, 0);transform:translate(50%, 0);left:auto;bottom:10px;}.bk-root .noUi-vertical .noUi-origin > .noUi-tooltip{-webkit-transform:translate(0, -18px);transform:translate(0, -18px);top:auto;right:28px;}.bk-root .noUi-handle{cursor:grab;cursor:-webkit-grab;}.bk-root .noUi-handle.noUi-active{cursor:grabbing;cursor:-webkit-grabbing;}.bk-root .noUi-handle:after,.bk-root .noUi-handle:before{display:none;}.bk-root .noUi-tooltip{display:none;white-space:nowrap;}.bk-root .noUi-handle:hover .noUi-tooltip{display:block;}.bk-root .noUi-horizontal{width:100%;height:10px;}.bk-root .noUi-vertical{width:10px;height:100%;}.bk-root .noUi-horizontal .noUi-handle{width:14px;height:18px;right:-7px;top:-5px;}.bk-root .noUi-vertical .noUi-handle{width:18px;height:14px;right:-5px;top:-7px;}.bk-root .noUi-target.noUi-horizontal{margin:5px 0px;}.bk-root .noUi-target.noUi-vertical{margin:0px 5px;}'},\n", " 442: function _(t,e,i,r,a){r();const s=t(1).__importDefault(t(181)),d=t(438),_=t(8);class n extends d.AbstractSliderView{}i.DateSliderView=n,n.__name__=\"DateSliderView\";class l extends d.AbstractSlider{constructor(t){super(t),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_DateSlider(){this.prototype.default_view=n,this.override({format:\"%d %b %Y\"})}_formatter(t,e){return _.isString(e)?s.default(t,e):e.compute(t)}}i.DateSlider=l,l.__name__=\"DateSlider\",l.init_DateSlider()},\n", " 443: function _(e,t,i,n,s){n();const r=e(444);class _ extends r.MarkupView{render(){super.render(),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.model.text}}i.DivView=_,_.__name__=\"DivView\";class a extends r.Markup{constructor(e){super(e)}static init_Div(){this.prototype.default_view=_,this.define((({Boolean:e})=>({render_as_text:[e,!1]})))}}i.Div=a,a.__name__=\"Div\",a.init_Div()},\n", " 444: function _(t,e,s,i,a){i();const n=t(1),l=t(224),r=t(43),c=t(488),u=n.__importStar(t(445));class _ extends c.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>{this.layout.invalidate_cache(),this.render(),this.root.compute_layout()}))}styles(){return[...super.styles(),u.default]}_update_layout(){this.layout=new l.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render();const t=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.markup_el=r.div({class:u.clearfix,style:t}),this.el.appendChild(this.markup_el)}}s.MarkupView=_,_.__name__=\"MarkupView\";class o extends c.Widget{constructor(t){super(t)}static init_Markup(){this.define((({String:t,Dict:e})=>({text:[t,\"\"],style:[e(t),{}]})))}}s.Markup=o,o.__name__=\"Markup\",o.init_Markup()},\n", " 445: function _(o,r,e,t,a){t(),e.root=\"bk-root\",e.clearfix=\"bk-clearfix\",e.default='.bk-root .bk-clearfix:before,.bk-root .bk-clearfix:after{content:\"\";display:table;}.bk-root .bk-clearfix:after{clear:both;}'},\n", " 446: function _(e,t,i,n,s){n();const o=e(1),r=e(419),l=e(264),d=e(43),_=e(8),u=o.__importStar(e(328)),c=o.__importStar(e(243)),h=c;class p extends r.AbstractButtonView{constructor(){super(...arguments),this._open=!1}styles(){return[...super.styles(),c.default]}render(){super.render();const e=d.div({class:[h.caret,h.down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(u.dropdown_toggle),t.addEventListener(\"click\",(()=>this._toggle_menu())),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map(((e,t)=>{if(null==e)return d.div({class:h.divider});{const i=_.isString(e)?e:e[0],n=d.div({},i);return n.addEventListener(\"click\",(()=>this._item_click(t))),n}}));this.menu=d.div({class:[h.menu,h.below]},t),this.el.appendChild(this.menu),d.undisplay(this.menu)}_show_menu(){if(!this._open){this._open=!0,d.display(this.menu);const e=t=>{const{target:i}=t;i instanceof HTMLElement&&!this.el.contains(i)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,d.undisplay(this.menu))}_toggle_menu(){this._open?this._hide_menu():this._show_menu()}click(){this.model.is_split?(this._hide_menu(),this.model.trigger_event(new l.ButtonClick),super.click()):this._toggle_menu()}_item_click(e){this._hide_menu();const t=this.model.menu[e];if(null!=t){const i=_.isString(t)?t:t[1];_.isString(i)?this.model.trigger_event(new l.MenuItemClick(i)):i.execute(this.model,{index:e})}}}i.DropdownView=p,p.__name__=\"DropdownView\";class m extends r.AbstractButton{constructor(e){super(e)}static init_Dropdown(){this.prototype.default_view=p,this.define((({Null:e,Boolean:t,String:i,Array:n,Tuple:s,Or:o})=>({split:[t,!1],menu:[n(o(i,s(i,o(i)),e)),[]]}))),this.override({label:\"Dropdown\"})}get is_split(){return this.split}}i.Dropdown=m,m.__name__=\"Dropdown\",m.init_Dropdown()},\n", " 447: function _(e,i,l,t,s){t();const n=e(43),a=e(488);class o extends a.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}render(){const{multiple:e,accept:i,disabled:l,width:t}=this.model;null==this.dialog_el&&(this.dialog_el=n.input({type:\"file\",multiple:e}),this.dialog_el.onchange=()=>{const{files:e}=this.dialog_el;null!=e&&this.load_files(e)},this.el.appendChild(this.dialog_el)),null!=i&&\"\"!=i&&(this.dialog_el.accept=i),this.dialog_el.style.width=`${t}px`,this.dialog_el.disabled=l}async load_files(e){const i=[],l=[],t=[];for(const s of e){const e=await this._read_file(s),[,n=\"\",,a=\"\"]=e.split(/[:;,]/,4);i.push(a),l.push(s.name),t.push(n)}this.model.multiple?(this.model.value=i,this.model.filename=l,this.model.mime_type=t):(this.model.value=i[0],this.model.filename=l[0],this.model.mime_type=t[0])}_read_file(e){return new Promise(((i,l)=>{const t=new FileReader;t.onload=()=>{var s;const{result:n}=t;null!=n?i(n):l(null!==(s=t.error)&&void 0!==s?s:new Error(`unable to read '${e.name}'`))},t.readAsDataURL(e)}))}}l.FileInputView=o,o.__name__=\"FileInputView\";class d extends a.Widget{constructor(e){super(e)}static init_FileInput(){this.prototype.default_view=o,this.define((({Boolean:e,String:i,Array:l,Or:t})=>({value:[t(i,l(i)),\"\"],mime_type:[t(i,l(i)),\"\"],filename:[t(i,l(i)),\"\"],accept:[i,\"\"],multiple:[e,!1]})))}}l.FileInput=d,d.__name__=\"FileInput\",d.init_FileInput()},\n", " 448: function _(e,t,i,s,n){s();const l=e(1),o=e(43),r=e(8),c=e(426),h=l.__importStar(e(427));class p extends c.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,(()=>this.render_selection())),this.connect(this.model.properties.options.change,(()=>this.render())),this.connect(this.model.properties.name.change,(()=>this.render())),this.connect(this.model.properties.title.change,(()=>this.render())),this.connect(this.model.properties.size.change,(()=>this.render())),this.connect(this.model.properties.disabled.change,(()=>this.render()))}render(){super.render();const e=this.model.options.map((e=>{let t,i;return r.isString(e)?t=i=e:[t,i]=e,o.option({value:t},i)}));this.input_el=o.select({multiple:!0,class:h.input,name:this.model.name,disabled:this.model.disabled},e),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el),this.render_selection()}render_selection(){const e=new Set(this.model.value);for(const t of this.el.querySelectorAll(\"option\"))t.selected=e.has(t.value);this.input_el.size=this.model.size}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of this.el.querySelectorAll(\"option\"))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.input_el.focus()}}i.MultiSelectView=p,p.__name__=\"MultiSelectView\";class u extends c.InputWidget{constructor(e){super(e)}static init_MultiSelect(){this.prototype.default_view=p,this.define((({Int:e,String:t,Array:i,Tuple:s,Or:n})=>({value:[i(t),[]],options:[i(n(t,s(t,t))),[]],size:[e,4]})))}}i.MultiSelect=u,u.__name__=\"MultiSelect\",u.init_MultiSelect()},\n", " 449: function _(a,r,e,t,p){t();const s=a(444),i=a(43);class n extends s.MarkupView{render(){super.render();const a=i.p({style:{margin:0}},this.model.text);this.markup_el.appendChild(a)}}e.ParagraphView=n,n.__name__=\"ParagraphView\";class _ extends s.Markup{constructor(a){super(a)}static init_Paragraph(){this.prototype.default_view=n}}e.Paragraph=_,_.__name__=\"Paragraph\",_.init_Paragraph()},\n", " 450: function _(s,t,e,n,r){n();const p=s(424);class u extends p.TextInputView{render(){super.render(),this.input_el.type=\"password\"}}e.PasswordInputView=u,u.__name__=\"PasswordInputView\";class a extends p.TextInput{constructor(s){super(s)}static init_PasswordInput(){this.prototype.default_view=u}}e.PasswordInput=a,a.__name__=\"PasswordInput\",a.init_PasswordInput()},\n", " 451: function _(e,t,i,l,s){l();const o=e(1),n=o.__importDefault(e(452)),h=e(43),a=e(8),u=e(224),c=o.__importStar(e(427)),d=o.__importDefault(e(453)),_=e(426);class r extends _.InputWidgetView{constructor(){super(...arguments),this._last_height=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.disabled.change,(()=>this.set_disabled()));const{value:e,max_items:t,option_limit:i,delete_button:l,placeholder:s,options:o,name:n,title:h}=this.model.properties;this.on_change([e,t,i,l,s,o,n,h],(()=>this.render()))}styles(){return[...super.styles(),d.default]}_update_layout(){this.layout=new u.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render(),this.input_el=h.select({multiple:!0,class:c.input,name:this.model.name,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el);const e=new Set(this.model.value),t=this.model.options.map((t=>{let i,l;return a.isString(t)?i=l=t:[i,l]=t,{value:i,label:l,selected:e.has(i)}})),i=this.model.solid?\"solid\":\"light\",l=`choices__item ${i}`,s=`choices__button ${i}`,o={choices:t,duplicateItemsAllowed:!1,removeItemButton:this.model.delete_button,classNames:{item:l,button:s}};null!=this.model.placeholder&&(o.placeholderValue=this.model.placeholder),null!=this.model.max_items&&(o.maxItemCount=this.model.max_items),null!=this.model.option_limit&&(o.renderChoiceLimit=this.model.option_limit),this.choice_el=new n.default(this.input_el,o);const u=()=>this.choice_el.containerOuter.element.getBoundingClientRect().height;null!=this._last_height&&this._last_height!=u()&&this.root.invalidate_layout(),this._last_height=u(),this.input_el.addEventListener(\"change\",(()=>this.change_input()))}set_disabled(){this.model.disabled?this.choice_el.disable():this.choice_el.enable()}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of this.el.querySelectorAll(\"option\"))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.input_el.focus()}}i.MultiChoiceView=r,r.__name__=\"MultiChoiceView\";class m extends 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Apache Software License 2.0\n", " *\n", " * http://www.apache.org/licenses/LICENSE-2.0\n", " */\n", " e.exports=function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return 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i=e.split(this.options.tokenSeparator),n=0,s=i.length;n0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1?arguments[1]:void 0,i=this.list,n={},s=[];if(\"string\"==typeof i[0]){for(var r=0,o=i.length;r1)throw new Error(\"Key weight has to be > 0 and <= 1\");p=p.name}else a[p]={weight:1};this._analyze({key:p,value:this.options.getFn(h,p),record:h,index:c},{resultMap:n,results:s,tokenSearchers:e,fullSearcher:t})}return{weights:a,results:s}}},{key:\"_analyze\",value:function(e,t){var i=e.key,n=e.arrayIndex,s=void 0===n?-1:n,r=e.value,o=e.record,c=e.index,l=t.tokenSearchers,h=void 0===l?[]:l,u=t.fullSearcher,d=void 0===u?[]:u,p=t.resultMap,m=void 0===p?{}:p,f=t.results,v=void 0===f?[]:f;if(null!=r){var g=!1,_=-1,b=0;if(\"string\"==typeof r){this._log(\"\\nKey: \".concat(\"\"===i?\"-\":i));var y=d.search(r);if(this._log('Full text: \"'.concat(r,'\", score: ').concat(y.score)),this.options.tokenize){for(var E=r.split(this.options.tokenSeparator),I=[],S=0;S-1&&(P=(P+_)/2),this._log(\"Score average:\",P);var D=!this.options.tokenize||!this.options.matchAllTokens||b>=h.length;if(this._log(\"\\nCheck Matches: \".concat(D)),(g||y.isMatch)&&D){var M=m[c];M?M.output.push({key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}):(m[c]={item:o,output:[{key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}]},v.push(m[c]))}}else if(a(r))for(var N=0,F=r.length;N-1&&(o.arrayIndex=r.arrayIndex),t.matches.push(o)}}})),this.options.includeScore&&s.push((function(e,t){t.score=e.score}));for(var r=0,o=e.length;ri)return s(e,this.pattern,n);var o=this.options,a=o.location,c=o.distance,l=o.threshold,h=o.findAllMatches,u=o.minMatchCharLength;return r(e,this.pattern,this.patternAlphabet,{location:a,distance:c,threshold:l,findAllMatches:h,minMatchCharLength:u})}}])&&n(t.prototype,i),a&&n(t,a),e}();e.exports=a},function(e,t){var i=/[\\-\\[\\]\\/\\{\\}\\(\\)\\*\\+\\?\\.\\\\\\^\\$\\|]/g;e.exports=function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:/ +/g,s=new RegExp(t.replace(i,\"\\\\$&\").replace(n,\"|\")),r=e.match(s),o=!!r,a=[];if(o)for(var c=0,l=r.length;c=P;N-=1){var F=N-1,j=i[e.charAt(F)];if(j&&(E[F]=1),M[N]=(M[N+1]<<1|1)&j,0!==T&&(M[N]|=(O[N+1]|O[N])<<1|1|O[N+1]),M[N]&L&&(C=n(t,{errors:T,currentLocation:F,expectedLocation:v,distance:l}))<=_){if(_=C,(b=F)<=v)break;P=Math.max(1,2*v-b)}}if(n(t,{errors:T+1,currentLocation:v,expectedLocation:v,distance:l})>_)break;O=M}return{isMatch:b>=0,score:0===C?.001:C,matchedIndices:s(E,f)}}},function(e,t){e.exports=function(e,t){var i=t.errors,n=void 0===i?0:i,s=t.currentLocation,r=void 0===s?0:s,o=t.expectedLocation,a=void 0===o?0:o,c=t.distance,l=void 0===c?100:c,h=n/e.length,u=Math.abs(a-r);return l?h+u/l:u?1:h}},function(e,t){e.exports=function(){for(var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:1,i=[],n=-1,s=-1,r=0,o=e.length;r=t&&i.push([n,s]),n=-1)}return e[r-1]&&r-n>=t&&i.push([n,r-1]),i}},function(e,t){e.exports=function(e){for(var t={},i=e.length,n=0;n/g,\"&rt;\").replace(/-1?e.map((function(e){var i=e;return i.id===parseInt(t.choiceId,10)&&(i.selected=!0),i})):e;case\"REMOVE_ITEM\":return t.choiceId>-1?e.map((function(e){var i=e;return i.id===parseInt(t.choiceId,10)&&(i.selected=!1),i})):e;case\"FILTER_CHOICES\":return e.map((function(e){var i=e;return i.active=t.results.some((function(e){var t=e.item,n=e.score;return t.id===i.id&&(i.score=n,!0)})),i}));case\"ACTIVATE_CHOICES\":return e.map((function(e){var i=e;return i.active=t.active,i}));case\"CLEAR_CHOICES\":return v;default:return e}},general:_}),A=function(e,t){var i=e;if(\"CLEAR_ALL\"===t.type)i=void 0;else if(\"RESET_TO\"===t.type)return O(t.state);return C(i,t)};function L(e,t){for(var i=0;i\"'+I(e)+'\"'},maxItemText:function(e){return\"Only \"+e+\" values can be added\"},valueComparer:function(e,t){return e===t},fuseOptions:{includeScore:!0},callbackOnInit:null,callbackOnCreateTemplates:null,classNames:{containerOuter:\"choices\",containerInner:\"choices__inner\",input:\"choices__input\",inputCloned:\"choices__input--cloned\",list:\"choices__list\",listItems:\"choices__list--multiple\",listSingle:\"choices__list--single\",listDropdown:\"choices__list--dropdown\",item:\"choices__item\",itemSelectable:\"choices__item--selectable\",itemDisabled:\"choices__item--disabled\",itemChoice:\"choices__item--choice\",placeholder:\"choices__placeholder\",group:\"choices__group\",groupHeading:\"choices__heading\",button:\"choices__button\",activeState:\"is-active\",focusState:\"is-focused\",openState:\"is-open\",disabledState:\"is-disabled\",highlightedState:\"is-highlighted\",selectedState:\"is-selected\",flippedState:\"is-flipped\",loadingState:\"is-loading\",noResults:\"has-no-results\",noChoices:\"has-no-choices\"}},D=\"showDropdown\",M=\"hideDropdown\",N=\"change\",F=\"choice\",j=\"search\",K=\"addItem\",R=\"removeItem\",H=\"highlightItem\",B=\"highlightChoice\",V=\"ADD_CHOICE\",G=\"FILTER_CHOICES\",q=\"ACTIVATE_CHOICES\",U=\"CLEAR_CHOICES\",z=\"ADD_GROUP\",W=\"ADD_ITEM\",X=\"REMOVE_ITEM\",$=\"HIGHLIGHT_ITEM\",J=46,Y=8,Z=13,Q=65,ee=27,te=38,ie=40,ne=33,se=34,re=\"text\",oe=\"select-one\",ae=\"select-multiple\",ce=function(){function e(e){var t=e.element,i=e.type,n=e.classNames,s=e.position;this.element=t,this.classNames=n,this.type=i,this.position=s,this.isOpen=!1,this.isFlipped=!1,this.isFocussed=!1,this.isDisabled=!1,this.isLoading=!1,this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this)}var t=e.prototype;return t.addEventListeners=function(){this.element.addEventListener(\"focus\",this._onFocus),this.element.addEventListener(\"blur\",this._onBlur)},t.removeEventListeners=function(){this.element.removeEventListener(\"focus\",this._onFocus),this.element.removeEventListener(\"blur\",this._onBlur)},t.shouldFlip=function(e){if(\"number\"!=typeof e)return!1;var t=!1;return\"auto\"===this.position?t=!window.matchMedia(\"(min-height: \"+(e+1)+\"px)\").matches:\"top\"===this.position&&(t=!0),t},t.setActiveDescendant=function(e){this.element.setAttribute(\"aria-activedescendant\",e)},t.removeActiveDescendant=function(){this.element.removeAttribute(\"aria-activedescendant\")},t.open=function(e){this.element.classList.add(this.classNames.openState),this.element.setAttribute(\"aria-expanded\",\"true\"),this.isOpen=!0,this.shouldFlip(e)&&(this.element.classList.add(this.classNames.flippedState),this.isFlipped=!0)},t.close=function(){this.element.classList.remove(this.classNames.openState),this.element.setAttribute(\"aria-expanded\",\"false\"),this.removeActiveDescendant(),this.isOpen=!1,this.isFlipped&&(this.element.classList.remove(this.classNames.flippedState),this.isFlipped=!1)},t.focus=function(){this.isFocussed||this.element.focus()},t.addFocusState=function(){this.element.classList.add(this.classNames.focusState)},t.removeFocusState=function(){this.element.classList.remove(this.classNames.focusState)},t.enable=function(){this.element.classList.remove(this.classNames.disabledState),this.element.removeAttribute(\"aria-disabled\"),this.type===oe&&this.element.setAttribute(\"tabindex\",\"0\"),this.isDisabled=!1},t.disable=function(){this.element.classList.add(this.classNames.disabledState),this.element.setAttribute(\"aria-disabled\",\"true\"),this.type===oe&&this.element.setAttribute(\"tabindex\",\"-1\"),this.isDisabled=!0},t.wrap=function(e){!function(e,t){void 0===t&&(t=document.createElement(\"div\")),e.nextSibling?e.parentNode.insertBefore(t,e.nextSibling):e.parentNode.appendChild(t),t.appendChild(e)}(e,this.element)},t.unwrap=function(e){this.element.parentNode.insertBefore(e,this.element),this.element.parentNode.removeChild(this.element)},t.addLoadingState=function(){this.element.classList.add(this.classNames.loadingState),this.element.setAttribute(\"aria-busy\",\"true\"),this.isLoading=!0},t.removeLoadingState=function(){this.element.classList.remove(this.classNames.loadingState),this.element.removeAttribute(\"aria-busy\"),this.isLoading=!1},t._onFocus=function(){this.isFocussed=!0},t._onBlur=function(){this.isFocussed=!1},e}();function le(e,t){for(var i=0;i0?this.element.scrollTop+o-s:e.offsetTop;requestAnimationFrame((function(){i._animateScroll(a,t)}))}},t._scrollDown=function(e,t,i){var n=(i-e)/t,s=n>1?n:1;this.element.scrollTop=e+s},t._scrollUp=function(e,t,i){var n=(e-i)/t,s=n>1?n:1;this.element.scrollTop=e-s},t._animateScroll=function(e,t){var i=this,n=this.element.scrollTop,s=!1;t>0?(this._scrollDown(n,4,e),ne&&(s=!0)),s&&requestAnimationFrame((function(){i._animateScroll(e,t)}))},e}();function de(e,t){for(var i=0;i0?\"treeitem\":\"option\"),Object.assign(g.dataset,{choice:\"\",id:l,value:h,selectText:i}),m?(g.classList.add(a),g.dataset.choiceDisabled=\"\",g.setAttribute(\"aria-disabled\",\"true\")):(g.classList.add(r),g.dataset.choiceSelectable=\"\"),g},input:function(e,t){var i=e.input,n=e.inputCloned,s=Object.assign(document.createElement(\"input\"),{type:\"text\",className:i+\" \"+n,autocomplete:\"off\",autocapitalize:\"off\",spellcheck:!1});return s.setAttribute(\"role\",\"textbox\"),s.setAttribute(\"aria-autocomplete\",\"list\"),s.setAttribute(\"aria-label\",t),s},dropdown:function(e){var t=e.list,i=e.listDropdown,n=document.createElement(\"div\");return n.classList.add(t,i),n.setAttribute(\"aria-expanded\",\"false\"),n},notice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.noResults,o=e.noChoices;void 0===i&&(i=\"\");var a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},be=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ye=function(e,t){return{type:$,id:e,highlighted:t}},Ee=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},Ie=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function Se(e,t){for(var i=0;i=0?this._store.getGroupById(s):null;return this._store.dispatch(ye(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ye(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(be(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(be(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(be(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1,p=\"[data-choice-selectable]\";if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(p);else{var m=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=m?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(m,p,d):this.dropdown.element.querySelector(p)}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(we&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(Ee({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(Ee({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.value.change,(()=>{this.input_el.value=this.format_value,this.old_value=this.input_el.value})),this.connect(this.model.properties.low.change,(()=>{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&d.assert(t<=l,\"Invalid bounds, low must be inferior to high\"),null!=e&&null!=t&&(this.model.value=Math.max(e,t))})),this.connect(this.model.properties.high.change,(()=>{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&d.assert(l>=t,\"Invalid bounds, high must be superior to low\"),null!=e&&null!=l&&(this.model.value=Math.min(e,l))})),this.connect(this.model.properties.high.change,(()=>this.input_el.placeholder=this.model.placeholder)),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled)),this.connect(this.model.properties.placeholder.change,(()=>this.input_el.placeholder=this.model.placeholder))}get format_value(){return null!=this.model.value?this.model.pretty(this.model.value):\"\"}_set_input_filter(e){this.input_el.addEventListener(\"input\",(()=>{const{selectionStart:t,selectionEnd:l}=this.input_el;if(e(this.input_el.value))this.old_value=this.input_el.value;else{const e=this.old_value.length-this.input_el.value.length;this.input_el.value=this.old_value,t&&l&&this.input_el.setSelectionRange(t-1,l+e)}}))}render(){super.render(),this.input_el=a.input({type:\"text\",class:p.input,name:this.model.name,value:this.format_value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.old_value=this.format_value,this.set_input_filter(),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.input_el.addEventListener(\"focusout\",(()=>this.input_el.value=this.format_value)),this.group_el.appendChild(this.input_el)}set_input_filter(){\"int\"==this.model.mode?this._set_input_filter((e=>_.test(e))):\"float\"==this.model.mode&&this._set_input_filter((e=>m.test(e)))}bound_value(e){let t=e;const{low:l,high:i}=this.model;return t=null!=l?Math.max(l,t):t,t=null!=i?Math.min(i,t):t,t}get value(){let e=\"\"!=this.input_el.value?Number(this.input_el.value):null;return null!=e&&(e=this.bound_value(e)),e}change_input(){null==this.value?this.model.value=null:Number.isNaN(this.value)||(this.model.value=this.value)}}l.NumericInputView=c,c.__name__=\"NumericInputView\";class v extends h.InputWidget{constructor(e){super(e)}static init_NumericInput(){this.prototype.default_view=c,this.define((({Number:e,String:t,Enum:l,Ref:i,Or:n,Nullable:s})=>({value:[s(e),null],placeholder:[t,\"\"],mode:[l(\"int\",\"float\"),\"int\"],format:[s(n(t,i(o.TickFormatter))),null],low:[s(e),null],high:[s(e),null]})))}_formatter(e,t){return r.isString(t)?u.format(e,t):t.doFormat([e],{loc:0})[0]}pretty(e){return null!=this.format?this._formatter(e,this.format):`${e}`}}l.NumericInput=v,v.__name__=\"NumericInput\",v.init_NumericInput()},\n", " 455: function _(e,t,r,s,i){s();const n=e(444),_=e(43);class a extends n.MarkupView{render(){super.render();const e=_.pre({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=a,a.__name__=\"PreTextView\";class o extends n.Markup{constructor(e){super(e)}static init_PreText(){this.prototype.default_view=a}}r.PreText=o,o.__name__=\"PreText\",o.init_PreText()},\n", " 456: function _(t,o,i,e,a){e();const n=t(1),u=t(430),s=t(43),c=n.__importStar(t(328));class _ extends u.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach(((o,i)=>{s.classes(o).toggle(c.active,t===i)}))}}i.RadioButtonGroupView=_,_.__name__=\"RadioButtonGroupView\";class r extends u.ButtonGroup{constructor(t){super(t)}static init_RadioButtonGroup(){this.prototype.default_view=_,this.define((({Int:t,Nullable:o})=>({active:[o(t),null]})))}}i.RadioButtonGroup=r,r.__name__=\"RadioButtonGroup\",r.init_RadioButtonGroup()},\n", " 457: function _(e,i,t,n,a){n();const s=e(1),o=e(43),l=e(34),d=e(432),p=s.__importStar(e(427));class u extends d.InputGroupView{render(){super.render();const e=o.div({class:[p.input_group,this.model.inline?p.inline:null]});this.el.appendChild(e);const i=l.uniqueId(),{active:t,labels:n}=this.model;this._inputs=[];for(let a=0;athis.change_active(a))),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),a==t&&(s.checked=!0);const l=o.label({},s,o.span({},n[a]));e.appendChild(l)}}change_active(e){this.model.active=e}}t.RadioGroupView=u,u.__name__=\"RadioGroupView\";class r extends d.InputGroup{constructor(e){super(e)}static init_RadioGroup(){this.prototype.default_view=u,this.define((({Boolean:e,Int:i,String:t,Array:n,Nullable:a})=>({active:[a(i),null],labels:[n(t),[]],inline:[e,!1]})))}}t.RadioGroup=r,r.__name__=\"RadioGroup\",r.init_RadioGroup()},\n", " 458: function _(e,t,i,r,a){r();const n=e(1).__importStar(e(183)),s=e(438),_=e(8);class d extends s.AbstractRangeSliderView{}i.RangeSliderView=d,d.__name__=\"RangeSliderView\";class o extends s.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_RangeSlider(){this.prototype.default_view=d,this.override({format:\"0[.]00\"})}_formatter(e,t){return _.isString(t)?n.format(e,t):t.compute(e)}}i.RangeSlider=o,o.__name__=\"RangeSlider\",o.init_RangeSlider()},\n", " 459: function _(e,t,n,i,s){i();const l=e(1),u=e(43),a=e(8),o=e(13),_=e(426),p=l.__importStar(e(427));class r extends _.InputWidgetView{constructor(){super(...arguments),this._known_values=new Set}connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,(()=>{this._update_value()})),this.on_change(t,(()=>{u.empty(this.input_el),u.append(this.input_el,...this.options_el()),this._update_value()}))}options_el(){const{_known_values:e}=this;function t(t){return t.map((t=>{let n,i;return a.isString(t)?n=i=t:[n,i]=t,e.add(n),u.option({value:n},i)}))}e.clear();const{options:n}=this.model;return a.isArray(n)?t(n):o.entries(n).map((([e,n])=>u.optgroup({label:e},t(n))))}render(){super.render(),this.input_el=u.select({class:p.input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;this._known_values.has(e)?this.input_el.value=e:this.input_el.removeAttribute(\"value\")}}n.SelectView=r,r.__name__=\"SelectView\";class c extends _.InputWidget{constructor(e){super(e)}static init_Select(){this.prototype.default_view=r,this.define((({String:e,Array:t,Tuple:n,Dict:i,Or:s})=>{const l=t(s(e,n(e,e)));return{value:[e,\"\"],options:[s(l,i(l)),[]]}}))}}n.Select=c,c.__name__=\"Select\",c.init_Select()},\n", " 460: function _(t,e,i,r,s){r();const _=t(1).__importStar(t(183)),a=t(438),n=t(8);class o extends a.AbstractSliderView{}i.SliderView=o,o.__name__=\"SliderView\";class d extends a.AbstractSlider{constructor(t){super(t),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_Slider(){this.prototype.default_view=o,this.override({format:\"0[.]00\"})}_formatter(t,e){return n.isString(e)?_.format(t,e):e.compute(t)}}i.Slider=d,d.__name__=\"Slider\",d.init_Slider()},\n", " 461: function _(e,t,i,n,s){n();const l=e(454),o=e(43),{min:r,max:a,floor:h,abs:_}=Math;function u(e){return h(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class d extends l.NumericInputView{*buttons(){yield this.btn_up_el,yield this.btn_down_el}initialize(){super.initialize(),this._handles={interval:void 0,timeout:void 0},this._interval=200}connect_signals(){super.connect_signals();const e=this.model.properties;this.on_change(e.disabled,(()=>{for(const e of this.buttons())o.toggle_attribute(e,\"disabled\",this.model.disabled)}))}render(){super.render(),this.wrapper_el=o.div({class:\"bk-spin-wrapper\"}),this.group_el.replaceChild(this.wrapper_el,this.input_el),this.btn_up_el=o.button({class:\"bk-spin-btn bk-spin-btn-up\"}),this.btn_down_el=o.button({class:\"bk-spin-btn bk-spin-btn-down\"}),this.wrapper_el.appendChild(this.input_el),this.wrapper_el.appendChild(this.btn_up_el),this.wrapper_el.appendChild(this.btn_down_el);for(const e of this.buttons())o.toggle_attribute(e,\"disabled\",this.model.disabled),e.addEventListener(\"mousedown\",(e=>this._btn_mouse_down(e))),e.addEventListener(\"mouseup\",(()=>this._btn_mouse_up())),e.addEventListener(\"mouseleave\",(()=>this._btn_mouse_leave()));this.input_el.addEventListener(\"keydown\",(e=>this._input_key_down(e))),this.input_el.addEventListener(\"keyup\",(()=>this.model.value_throttled=this.model.value)),this.input_el.addEventListener(\"wheel\",(e=>this._input_mouse_wheel(e))),this.input_el.addEventListener(\"wheel\",function(e,t,i=!1){let n;return function(...s){const l=this,o=i&&void 0===n;void 0!==n&&clearTimeout(n),n=setTimeout((function(){n=void 0,i||e.apply(l,s)}),t),o&&e.apply(l,s)}}((()=>{this.model.value_throttled=this.model.value}),this.model.wheel_wait,!1))}get precision(){const{low:e,high:t,step:i}=this.model,n=u;return a(n(_(null!=e?e:0)),n(_(null!=t?t:0)),n(_(i)))}remove(){this._stop_incrementation(),super.remove()}_start_incrementation(e){clearInterval(this._handles.interval),this._counter=0;const{step:t}=this.model,i=e=>{if(this._counter+=1,this._counter%5==0){const t=Math.floor(this._counter/5);t<10?(clearInterval(this._handles.interval),this._handles.interval=setInterval((()=>i(e)),this._interval/(t+1))):t>=10&&t<=13&&(clearInterval(this._handles.interval),this._handles.interval=setInterval((()=>i(2*e)),this._interval/10))}this.increment(e)};this._handles.interval=setInterval((()=>i(e*t)),this._interval)}_stop_incrementation(){clearTimeout(this._handles.timeout),this._handles.timeout=void 0,clearInterval(this._handles.interval),this._handles.interval=void 0,this.model.value_throttled=this.model.value}_btn_mouse_down(e){e.preventDefault();const t=e.currentTarget===this.btn_up_el?1:-1;this.increment(t*this.model.step),this.input_el.focus(),this._handles.timeout=setTimeout((()=>this._start_incrementation(t)),this._interval)}_btn_mouse_up(){this._stop_incrementation()}_btn_mouse_leave(){this._stop_incrementation()}_input_mouse_wheel(e){if(document.activeElement===this.input_el){e.preventDefault();const t=e.deltaY>0?-1:1;this.increment(t*this.model.step)}}_input_key_down(e){switch(e.keyCode){case o.Keys.Up:return e.preventDefault(),this.increment(this.model.step);case o.Keys.Down:return e.preventDefault(),this.increment(-this.model.step);case o.Keys.PageUp:return e.preventDefault(),this.increment(this.model.page_step_multiplier*this.model.step);case o.Keys.PageDown:return e.preventDefault(),this.increment(-this.model.page_step_multiplier*this.model.step)}}adjust_to_precision(e){return this.bound_value(Number(e.toFixed(this.precision)))}increment(e){const{low:t,high:i}=this.model;null==this.model.value?e>0?this.model.value=null!=t?t:null!=i?r(0,i):0:e<0&&(this.model.value=null!=i?i:null!=t?a(t,0):0):this.model.value=this.adjust_to_precision(this.model.value+e)}change_input(){super.change_input(),this.model.value_throttled=this.model.value}}i.SpinnerView=d,d.__name__=\"SpinnerView\";class p extends l.NumericInput{constructor(e){super(e)}static init_Spinner(){this.prototype.default_view=d,this.define((({Number:e,Nullable:t})=>({value_throttled:[t(e),null],step:[e,1],page_step_multiplier:[e,10],wheel_wait:[e,100]}))),this.override({mode:\"float\"})}}i.Spinner=p,p.__name__=\"Spinner\",p.init_Spinner()},\n", " 462: function _(e,t,s,n,i){n();const r=e(1),o=e(425),p=e(43),c=r.__importStar(e(427));class l extends o.TextLikeInputView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.rows.change,(()=>this.input_el.rows=this.model.rows)),this.connect(this.model.properties.cols.change,(()=>this.input_el.cols=this.model.cols))}_render_input(){this.input_el=p.textarea({class:c.input})}render(){super.render(),this.input_el.cols=this.model.cols,this.input_el.rows=this.model.rows}}s.TextAreaInputView=l,l.__name__=\"TextAreaInputView\";class _ extends o.TextLikeInput{constructor(e){super(e)}static init_TextAreaInput(){this.prototype.default_view=l,this.define((({Int:e})=>({cols:[e,20],rows:[e,2]}))),this.override({max_length:500})}}s.TextAreaInput=_,_.__name__=\"TextAreaInput\",_.init_TextAreaInput()},\n", " 463: function _(e,t,i,s,c){s();const o=e(1),a=e(419),n=e(43),l=o.__importStar(e(328));class _ extends a.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._update_active()))}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){n.classes(this.button_el).toggle(l.active,this.model.active)}}i.ToggleView=_,_.__name__=\"ToggleView\";class g extends a.AbstractButton{constructor(e){super(e)}static init_Toggle(){this.prototype.default_view=_,this.define((({Boolean:e})=>({active:[e,!1]}))),this.override({label:\"Toggle\"})}}i.Toggle=g,g.__name__=\"Toggle\",g.init_Toggle()},\n", " }, 417, {\"models/widgets/main\":417,\"models/widgets/index\":418,\"models/widgets/abstract_button\":419,\"models/widgets/control\":420,\"models/widgets/widget\":488,\"models/widgets/abstract_icon\":422,\"models/widgets/autocomplete_input\":423,\"models/widgets/text_input\":424,\"models/widgets/text_like_input\":425,\"models/widgets/input_widget\":426,\"styles/widgets/inputs.css\":427,\"models/widgets/button\":428,\"models/widgets/checkbox_button_group\":429,\"models/widgets/button_group\":430,\"models/widgets/checkbox_group\":431,\"models/widgets/input_group\":432,\"models/widgets/color_picker\":433,\"models/widgets/date_picker\":434,\"styles/widgets/flatpickr.css\":436,\"models/widgets/date_range_slider\":437,\"models/widgets/abstract_slider\":438,\"styles/widgets/sliders.css\":440,\"styles/widgets/nouislider.css\":441,\"models/widgets/date_slider\":442,\"models/widgets/div\":443,\"models/widgets/markup\":444,\"styles/clearfix.css\":445,\"models/widgets/dropdown\":446,\"models/widgets/file_input\":447,\"models/widgets/multiselect\":448,\"models/widgets/paragraph\":449,\"models/widgets/password_input\":450,\"models/widgets/multichoice\":451,\"styles/widgets/choices.css\":453,\"models/widgets/numeric_input\":454,\"models/widgets/pretext\":455,\"models/widgets/radio_button_group\":456,\"models/widgets/radio_group\":457,\"models/widgets/range_slider\":458,\"models/widgets/selectbox\":459,\"models/widgets/slider\":460,\"models/widgets/spinner\":461,\"models/widgets/textarea_input\":462,\"models/widgets/toggle\":463}, {});});\n", "\n", " /* END bokeh-widgets.min.js */\n", " },\n", " \n", " function(Bokeh) {\n", " /* BEGIN bokeh-tables.min.js */\n", " /*!\n", " * Copyright (c) 2012 - 2021, Anaconda, Inc., and Bokeh Contributors\n", " * All rights reserved.\n", " * \n", " * Redistribution and use in source and binary forms, with or without modification,\n", " * are permitted provided that the following conditions are met:\n", " * \n", " * Redistributions of source code must retain the above copyright notice,\n", " * this list of conditions and the following disclaimer.\n", " * \n", " * Redistributions in binary form must reproduce the above copyright notice,\n", " * this list of conditions and the following disclaimer in the documentation\n", " * and/or other materials provided with the distribution.\n", " * \n", " * Neither the name of Anaconda nor the names of any contributors\n", " * may be used to endorse or promote products derived from this software\n", " * without specific prior written permission.\n", " * \n", " * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n", " * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n", " * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n", " * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n", " * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n", " * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n", " * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n", " * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n", " * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n", " * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n", " * THE POSSIBILITY OF SUCH DAMAGE.\n", " */\n", " (function(root, factory) {\n", " factory(root[\"Bokeh\"], \"2.3.3\");\n", " })(this, function(Bokeh, version) {\n", " var define;\n", " return (function(modules, entry, aliases, externals) {\n", " const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n", " if (bokeh != null) {\n", " return bokeh.register_plugin(modules, entry, aliases);\n", " } else {\n", " throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n", " }\n", " })\n", " ({\n", " 464: function _(t,e,o,r,s){r();const _=t(1).__importStar(t(465));o.Tables=_;t(7).register_models(_)},\n", " 465: function _(g,a,r,e,t){e();const o=g(1);o.__exportStar(g(466),r),o.__exportStar(g(469),r),t(\"DataTable\",g(472).DataTable),t(\"TableColumn\",g(490).TableColumn),t(\"TableWidget\",g(489).TableWidget);var n=g(492);t(\"AvgAggregator\",n.AvgAggregator),t(\"MinAggregator\",n.MinAggregator),t(\"MaxAggregator\",n.MaxAggregator),t(\"SumAggregator\",n.SumAggregator);var A=g(493);t(\"GroupingInfo\",A.GroupingInfo),t(\"DataCube\",A.DataCube)},\n", " 466: function _(e,t,i,s,r){s();const a=e(1),n=e(43),l=e(240),u=e(53),d=e(467),o=a.__importStar(e(468));class _ extends l.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(o.cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",(e=>{switch(e.keyCode){case n.Keys.Left:case n.Keys.Right:case n.Keys.Up:case n.Keys.Down:case n.Keys.PageUp:case n.Keys.PageDown:e.stopImmediatePropagation()}}))}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[d.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=_,_.__name__=\"CellEditorView\";class c extends u.Model{}i.CellEditor=c,c.__name__=\"CellEditor\";class p extends _{get emptyValue(){return\"\"}_createInput(){return n.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=p,p.__name__=\"StringEditorView\";class h extends c{static init_StringEditor(){this.prototype.default_view=p,this.define((({String:e,Array:t})=>({completions:[t(e),[]]})))}}i.StringEditor=h,h.__name__=\"StringEditor\",h.init_StringEditor();class E extends _{_createInput(){return n.textarea()}renderEditor(){this.inputEl.focus(),this.inputEl.select()}}i.TextEditorView=E,E.__name__=\"TextEditorView\";class V extends c{static init_TextEditor(){this.prototype.default_view=E}}i.TextEditor=V,V.__name__=\"TextEditor\",V.init_TextEditor();class m extends _{_createInput(){return n.select()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild(n.option({value:e},e));this.focus()}}i.SelectEditorView=m,m.__name__=\"SelectEditorView\";class f extends c{static init_SelectEditor(){this.prototype.default_view=m,this.define((({String:e,Array:t})=>({options:[t(e),[]]})))}}i.SelectEditor=f,f.__name__=\"SelectEditor\",f.init_SelectEditor();class x extends _{_createInput(){return n.input({type:\"text\"})}}i.PercentEditorView=x,x.__name__=\"PercentEditorView\";class g extends c{static init_PercentEditor(){this.prototype.default_view=x}}i.PercentEditor=g,g.__name__=\"PercentEditor\",g.init_PercentEditor();class w extends _{_createInput(){return n.input({type:\"checkbox\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=w,w.__name__=\"CheckboxEditorView\";class v extends c{static init_CheckboxEditor(){this.prototype.default_view=w}}i.CheckboxEditor=v,v.__name__=\"CheckboxEditor\",v.init_CheckboxEditor();class y extends _{_createInput(){return n.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){var e;return null!==(e=parseInt(this.getValue(),10))&&void 0!==e?e:0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=y,y.__name__=\"IntEditorView\";class I extends c{static init_IntEditor(){this.prototype.default_view=y,this.define((({Int:e})=>({step:[e,1]})))}}i.IntEditor=I,I.__name__=\"IntEditor\",I.init_IntEditor();class b extends _{_createInput(){return n.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){var e;return null!==(e=parseFloat(this.getValue()))&&void 0!==e?e:0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=b,b.__name__=\"NumberEditorView\";class N extends c{static init_NumberEditor(){this.prototype.default_view=b,this.define((({Number:e})=>({step:[e,.01]})))}}i.NumberEditor=N,N.__name__=\"NumberEditor\",N.init_NumberEditor();class S extends _{_createInput(){return n.input({type:\"text\"})}}i.TimeEditorView=S,S.__name__=\"TimeEditorView\";class C extends c{static init_TimeEditor(){this.prototype.default_view=S}}i.TimeEditor=C,C.__name__=\"TimeEditor\",C.init_TimeEditor();class D extends _{_createInput(){return n.input({type:\"text\"})}get emptyValue(){return new Date}renderEditor(){this.inputEl.focus(),this.inputEl.select()}destroy(){super.destroy()}show(){super.show()}hide(){super.hide()}position(){return super.position()}getValue(){}setValue(e){}}i.DateEditorView=D,D.__name__=\"DateEditorView\";class T extends c{static init_DateEditor(){this.prototype.default_view=D}}i.DateEditor=T,T.__name__=\"DateEditor\",T.init_DateEditor()},\n", " 467: function _(_,n,i,t,d){t(),i.DTINDEX_NAME=\"__bkdt_internal_index__\"},\n", " 468: function _(e,l,o,t,r){t(),o.root=\"bk-root\",o.data_table=\"bk-data-table\",o.cell_special_defaults=\"bk-cell-special-defaults\",o.cell_select=\"bk-cell-select\",o.cell_index=\"bk-cell-index\",o.header_index=\"bk-header-index\",o.cell_editor=\"bk-cell-editor\",o.cell_editor_completion=\"bk-cell-editor-completion\",o.default='.bk-root .bk-data-table{box-sizing:content-box;font-size:11px;}.bk-root .bk-data-table input[type=\"checkbox\"]{margin-left:4px;margin-right:4px;}.bk-root .bk-cell-special-defaults{border-right-color:silver;border-right-style:solid;background:#f5f5f5;}.bk-root .bk-cell-select{border-right-color:silver;border-right-style:solid;background:#f5f5f5;}.bk-root .slick-cell.bk-cell-index{border-right-color:silver;border-right-style:solid;background:#f5f5f5;text-align:right;background:#f0f0f0;color:#909090;}.bk-root .bk-header-index .slick-column-name{float:right;}.bk-root .slick-row.selected .bk-cell-index{background-color:transparent;}.bk-root .slick-row.odd{background:#f0f0f0;}.bk-root .slick-cell{padding-left:4px;padding-right:4px;border-right-color:transparent;border:0.25px solid transparent;}.bk-root .slick-cell .bk{line-height:inherit;}.bk-root .slick-cell.active{border-style:dashed;}.bk-root .slick-cell.selected{background-color:#F0F8FF;}.bk-root .slick-cell.editable{padding-left:0;padding-right:0;}.bk-root .bk-cell-editor{display:contents;}.bk-root .bk-cell-editor input,.bk-root .bk-cell-editor select{width:100%;height:100%;border:0;margin:0;padding:0;outline:0;background:transparent;vertical-align:baseline;}.bk-root .bk-cell-editor input{padding-left:4px;padding-right:4px;}.bk-root .bk-cell-editor-completion{font-size:11px;}'},\n", " 469: function _(t,e,r,a,n){a();const i=t(1),o=i.__importDefault(t(181)),s=i.__importStar(t(183)),l=t(470),c=t(43),m=t(20),u=t(8),_=t(34),F=t(22),d=t(53);class f extends d.Model{constructor(t){super(t)}doFormat(t,e,r,a,n){return null==r?\"\":(r+\"\").replace(/&/g,\"&\").replace(//g,\">\")}}r.CellFormatter=f,f.__name__=\"CellFormatter\";class h extends f{constructor(t){super(t)}static init_StringFormatter(){this.define((({Color:t,Nullable:e})=>({font_style:[m.FontStyle,\"normal\"],text_align:[m.TextAlign,\"left\"],text_color:[e(t),null]})))}doFormat(t,e,r,a,n){const{font_style:i,text_align:o,text_color:s}=this,l=c.div({},null==r?\"\":`${r}`);switch(i){case\"bold\":l.style.fontWeight=\"bold\";break;case\"italic\":l.style.fontStyle=\"italic\"}return null!=o&&(l.style.textAlign=o),null!=s&&(l.style.color=F.color2css(s)),l.outerHTML}}r.StringFormatter=h,h.__name__=\"StringFormatter\",h.init_StringFormatter();class g extends h{constructor(t){super(t)}static init_ScientificFormatter(){this.define((({Number:t,String:e,Nullable:r})=>({nan_format:[r(e),null],precision:[t,10],power_limit_high:[t,5],power_limit_low:[t,-3]})))}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}doFormat(t,e,r,a,n){const i=Math.abs(r)<=this.scientific_limit_low||Math.abs(r)>=this.scientific_limit_high;let o=this.precision;return o<1&&(o=1),r=null!=r&&!isNaN(r)||null==this.nan_format?0==r?_.to_fixed(r,1):i?r.toExponential(o):_.to_fixed(r,o):this.nan_format,super.doFormat(t,e,r,a,n)}}r.ScientificFormatter=g,g.__name__=\"ScientificFormatter\",g.init_ScientificFormatter();class p extends h{constructor(t){super(t)}static init_NumberFormatter(){this.define((({String:t,Nullable:e})=>({format:[t,\"0,0\"],language:[t,\"en\"],rounding:[m.RoundingFunction,\"round\"],nan_format:[e(t),null]})))}doFormat(t,e,r,a,n){const{format:i,language:o,nan_format:l}=this,c=(()=>{switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}})();return 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function(){n&&(n=r=s.onload=s.onerror=s.onabort=s.ontimeout=s.onreadystatechange=null,\"abort\"===e?s.abort():\"error\"===e?\"number\"!=typeof s.status?o(0,\"error\"):o(s.status,s.statusText):o(_t[s.status]||s.status,s.statusText,\"text\"!==(s.responseType||\"text\")||\"string\"!=typeof s.responseText?{binary:s.response}:{text:s.responseText},s.getAllResponseHeaders()))}},s.onload=n(),r=s.onerror=s.ontimeout=n(\"error\"),void 0!==s.onabort?s.onabort=r:s.onreadystatechange=function(){4===s.readyState&&e.setTimeout((function(){n&&r()}))},n=n(\"abort\");try{s.send(t.hasContent&&t.data||null)}catch(e){if(n)throw e}},abort:function(){n&&n()}}})),w.ajaxPrefilter((function(e){e.crossDomain&&(e.contents.script=!1)})),w.ajaxSetup({accepts:{script:\"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript\"},contents:{script:/\\b(?:java|ecma)script\\b/},converters:{\"text script\":function(e){return w.globalEval(e),e}}}),w.ajaxPrefilter(\"script\",(function(e){void 0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type=\"GET\")})),w.ajaxTransport(\"script\",(function(e){var t,n;if(e.crossDomain||e.scriptAttrs)return{send:function(r,i){t=w(\"" ], "text/plain": [ ":Scatter [Droplet Diameter (um)] (Spindle Length (um))" ] }, "execution_count": 3, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "1003" } }, "output_type": "execute_result" } ], "source": [ "df = pd.read_csv(os.path.join(data_path, \"good_invitro_droplet_data.csv\"), comment=\"#\")\n", "\n", "hv.Scatter(\n", " data=df,\n", " kdims=\"Droplet Diameter (um)\",\n", " vdims=\"Spindle Length (um)\",\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Visualization with ArviZ\n", "\n", "[ArviZ](https://arviz-devs.github.io/arviz/index.html) has lots of handy visualization of MCMC results, and it is a very promising package to use to quickly get plots. It currently still has some drawbacks. First, some plots are not rendered properly with Bokeh. This problem will likely be fixed very soon with future releases. Second, some of the aesthetic choices in the plots would not be my first choice. There are other specific drawbacks to the ArviZ visualizations that I will point out as we go along.\n", "\n", "For each of the visualizations below, I show how to construct the visualization using ArviZ, but also using the bebi103 package." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## The model and samples\n", "\n", "We will briefly repeat the sampling of the model as we did in [a previous lesson](../11/regression_with_stan.ipynb). As a reminder, the model is \n", "\n", "\\begin{align}\n", "&\\log_{10} \\phi \\sim \\text{Norm}(1.5, 0.75),\\\\[1em]\n", "&\\gamma \\sim \\text{Beta}(1.1, 1.1), \\\\[1em]\n", "&\\sigma \\sim \\text{HalfNorm}(10),\\\\[1em]\n", "&\\mu_i = \\frac{\\gamma d_i}{\\left(1+(\\gamma d_i/\\phi)^3\\right)^{\\frac{1}{3}}}, \\\\[1em]\n", "&l_i \\mid d_i, \\gamma, \\phi, \\sigma \\sim \\text{Norm}(\\mu_i, \\sigma) \\;\\forall i.\n", "\\end{align}\n", "\n", "We used the following Stan code to implement this model.\n", "\n", "```stan\n", "functions {\n", " real ell_theor(real d, real phi, real gamma_) {\n", " real denom_ratio = (gamma_ * d / phi)^3;\n", " return gamma_ * d / (1 + denom_ratio)^(1.0 / 3.0);\n", " }\n", "}\n", "\n", "\n", "data {\n", " int N;\n", " real d[N];\n", " real ell[N];\n", "}\n", "\n", "\n", "parameters {\n", " real log10_phi;\n", " real gamma_;\n", " real sigma;\n", "}\n", "\n", "\n", "transformed parameters {\n", " real phi = 10^log10_phi;\n", "}\n", "\n", "\n", "model {\n", " log10_phi ~ normal(1.5, 0.75);\n", " gamma_ ~ beta(1.1, 1.1);\n", " sigma ~ normal(0.0, 10.0);\n", "\n", " for (i in 1:N) {\n", " ell[i] ~ normal(ell_theor(d[i], phi, gamma_), sigma);\n", " }\n", "}\n", "```\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's obtain some samples so we can start to look at visualizations. " ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:cmdstanpy:found newer exe file, not recompiling\n", "INFO:cmdstanpy:CmdStan start procesing\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "dd01f590d8bb4c6aa51509c871313f27", "version_major": 2, "version_minor": 0 }, "text/plain": [ "chain 1 | | 00:00 Status" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "3d883b0067fc4fe6822dca772dcaa71a", "version_major": 2, "version_minor": 0 }, "text/plain": [ "chain 2 | | 00:00 Status" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "4aed02bf5d2d466390bbe1b934e64a68", "version_major": 2, "version_minor": 0 }, "text/plain": [ "chain 3 | | 00:00 Status" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "dca4feed764541bb9f3690ad12b18028", "version_major": 2, "version_minor": 0 }, "text/plain": [ "chain 4 | | 00:00 Status" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ " " ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:cmdstanpy:CmdStan done processing.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "sm = cmdstanpy.CmdStanModel(stan_file=\"spindle.stan\")\n", "\n", "data = dict(\n", " N=len(df),\n", " d=df[\"Droplet Diameter (um)\"].values,\n", " ell=df[\"Spindle Length (um)\"].values,\n", ")\n", "\n", "samples = sm.sample(\n", " data=data,\n", " chains=4,\n", " iter_sampling=1000,\n", ")\n", "\n", "samples = az.from_cmdstanpy(posterior=samples)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "
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       "Data variables:\n",
       "    log10_phi  (chain, draw) float64 1.581 1.589 1.584 ... 1.579 1.585 1.579\n",
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       "Attributes:\n",
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       "    accept_stat  (chain, draw) float64 0.9681 0.9316 0.7394 ... 0.843 0.7769\n",
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\n", " " ], "text/plain": [ "Inference data with groups:\n", "\t> posterior\n", "\t> sample_stats" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "samples" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Examining traces\n", "\n", "The first type of visualization we will explore is useful for diagnosing potential problems with the sampler." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Trace plots\n", "\n", "**Trace plots** are a common way of visualizing the trajectory a sampler takes through parameter space. We plot the value of the parameter versus step number. You can make these plots using `bebi103.viz.trace_plot()`. By default, the traces are colored according to chain number. In our sampling we just did, we used Stan's default of four chains." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Trace plots with ArviZ\n", "\n", "To make plots with ArviZ, the basic syntax is `az.plot_***(samples, backend='bokeh')`, where `***` is the kind of plot you want. The `backend=\"bokeh\"` kwarg indicates that you want the plot rendered with Bokeh. Let's make a trace plot." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "
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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"phi\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"sigma\":{\"__ndarray__\":\"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kDXo3A9Cg9DQMzuycNCJUNAx7q4jQYoQ0BoImx4ek1DQHUCmggbRkNAgEi/fR0wQ0DnjCjtDb5CQCKOdXEb9UJAT0ATYcNTQ0CPwvUoXEdDQMsQx7q4PUNAYOXQItshQ0DCFyZTBXNDQMcpOpLL30JAak3zjlPcQkCTqYJRSSVDQLhAguLHEENAVFInoIlQQ0A7AU2EDQ9DQKkT0ETY8EJAf/s6cM5AQ0B+HThnRAFDQGZmZmZm3kJAOUVHcvlHQ0D7OnDOiAJDQBsv3SQG+UJAaJHtfD/dQkBgdk8eFspCQBueXinLOENAF9nO91NDQ0C8lpAPelZDQACRfvs6aENAHcnlP6RvQ0DtDb4wmTJDQKjGSzeJ4UJAmpmZmZnpQkDkg57Nqm9DQNUJaCJs+EJABTQRNjwdQ0DJdr6fGj9DQNejcD0KR0NAx7q4jQboQkCzDHGsixNDQHrHKTqSO0NA9UpZhjgmQ0Btxf6ye2pDQPYoXI/CPUNAnYAmwoZXQ0CSy39Ivy1DQN4CCYofI0NAcayL22hIQ0CvlGWIYwVDQOtztRX7U0NAImx4eqUsQ0AbDeAtkCBDQO84RUdy+UJAjnVxGw1YQ0Dx9EpZhkhDQMKGp1fK+kJAL26jAbzFQkBF2PD0SvlCQGdEaW/wPUNA3EYDeAvcQkAUP8bctfxCQOm3rwPnDENAUiegibAZQ0BHA3gLJCBDQMiYu5aQJ0NAyJi7lpAnQ0Dgvg6cMzpDQKabxCCwIkNAGJXUCWgyQ0B2cRsN4EVDQIY41sVt7EJAQKTfvg5EQ0AU0ETY8CxDQH2utmJ/qUNAnMQgsHKgQkCgGi/dJPZCQOlILv8hRUNAeekmMQg8Q0BVwaikTjhDQF66SQwCM0NAi/1l9+QpQ0B1ApoIGz5DQPp+arx0O0NAjLlrCflIQ0CHp1fKMkRDQNuK/WX31EJAbAn5oGe7QkDV52or9g9DQLgehetRQENApN++DpwbQ0DZzvdT4wVDQD55WKg1LUNAPZtVn6v9QkBkO99Pje9CQGFUUieg2UJAAG+BBMXPQkAydy0hH8xCQL7BFyZTRUNA+8vuycNCQ0CeXinLEOdCQCcxCKwcEkNAU5YhjnUhQ0B9rrZif/FCQJeQD3o2I0NAXkvIBz07Q0BLWYY41jVDQP8h/fZ1CENA8KfGSzcpQ0BDHOviNjJDQFjKMsSxBkNAkKD4MeYOQ0A51sVtNGBDQKrx0k1iSENA6gQ0ETaMQ0BO0ZFc/otDQLsnDwu1TkNAKjqSy39YQ0A/xty1hDxDQKW9wRcmC0NAQKTfvg5MQ0CC4seYu05DQILix5i7TkNATDeJQWAlQ0D7y+7JwzJDQMcpOpLLb0NA2/l+arxsQ0DDZKpgVAJDQOhqK/aXHUNAiIVa07zzQkC1pnnHKSpDQDeJQWDlMENASFD8GHO3Q0BYqDXNO4ZCQFjKMsSx3kJAkKD4Mea+Q0CC4seYu35DQH0/NV66eUNAveMUHcmVQ0Cz6nO1FStDQJAxdy0hF0NAqz5XW7EHQ0AEVg4tss1CQL6fGi/dDENAMCqpE9DMQkAT8kHPZn1DQMbctYR8GENAhslUwag8Q0Db+X5qvFRDQGuad5yia0NA3EYDeAvEQkCx4emVsuRCQH2utmJ/YUNATYQNT68kQ0BfmEwVjDJDQEYldQKaQENA/7J78rA4Q0DqBDQRNhxDQJkqGJXUIUNAB/AWSFBUQ0ApXI/C9fhCQGIQWDm0cENAIR/0bFZNQ0B8YTJVMGpDQLyWkA96XkNAexSuR+FqQ0C+MJkqGEVDQKFns+pzfUNAnMQgsHKAQ0D67evAOdtCQIEmwoan90JAqmBUUicgQ0AZc9cS8ilDQEVHcvkPEUNAak3zjlM0Q0BN845TdBxDQEVHcvkPAUNAIv32deBsQ0ApXI/C9VBDQDqSy39IN0NAJlMFo5ICQ0ADCYofYw5DQLWmeccpAkNArrZif9k9Q0DlYaHWNEdDQCh+jLlrMUNA3pOHhVpjQ0DIBz2bVT9DQGRd3EYDIENAoyO5/IckQ0CDwMqhRTZDQKK0N/jCRENAejarPlczQ0CJ0t7gCzNDQHZPHhZqPUNAdy0hH/Q0Q0A+eVioNTVDQFg5tMh2NkNAm1Wfq604Q0CamZmZmXFDQE5iEFg5ZENAvp8aL92UQ0Av3SQGgXVDQNNNYhBYsUJAmpmZmZnBQkBg5dAi28FCQIiFWtO820JAObTIdr7XQkB56SYxCMRCQKwcWmQ7T0NAveMUHckVQ0AFo5I6AT1DQCSX/5B+G0NAUiegibAZQ0AbL90kBilDQF1txf6yI0NAtFn1udoaQ0DD0ytlGSpDQEATYcPTI0NAb/CFyVQJQ0Btxf6ye/JCQD2bVZ+rHUNAokW28/3cQkAwKqkT0FxDQNnO91PjDUNALUMc6+LuQkCoV8oyxCFDQE0VjErq1EJAqDXNO07ZQkBMN4lBYBVDQOkmMQisFENAmggbnl4RQ0CSXP5D+v1CQCv2l92TD0NAcF8Hzhk5Q0B+HThnRDlDQOlILv8hTUNAH4XrUbhGQ0DAWyBB8QtDQKd5xyk6YkNAhxbZzvczQ0Ct+lxtxQ5DQCzUmuYdL0NAokW28/3kQkChZ7PqczVDQCS5/If0E0NAP8bctYSkQ0Ag0m9fB25DQGq8dJMYDENA/yH99nVQQ0DjNhrAWxhDQJOpglFJVUNAe4MvTKYCQ0Ctad5xigZDQMl2vp8aT0NARGlv8IVJQ0BCPujZrAJDQLN78rBQA0NA54wo7Q0WQ0AijnVxG+1CQOlILv8hZUNA+FPjpZs0Q0CjAbwFEiRDQKRwPQrXI0NAutqK/WU/Q0CuR+F6FP5CQOoENBE2jENAyJi7lpDXQkCbVZ+rrXhDQHsUrkfhEkNA30+Nl27iQkBhMlUwKiFDQE2EDU+vHENAak3zjlPcQkB7FK5H4dpCQOXyH9JvR0NAdEaU9gZfQ0ALJCh+jHlDQFafq63YR0NA2ht8YTL9QkCfq63YX/ZCQKg1zTtO+UJA7Z48LNTqQkCZKhiV1ClDQInS3uALO0NAmpmZmZkRQ0DZX3ZPHgZDQKyL22gAJ0NANs07TtFJQ0AeFmpN8x5DQBE2PL1S/kJAoBov3SQeQ0CHp1fKMgRDQDAqqRPQ3EJAeHqlLEMEQ0AQejarPsdCQHNoke1810JAZvfkYaE+Q0A7AU2EDSdDQHe+nxovLUNAZ9XnaisWQ0BNhA1Pr+xCQEw3iUFgTUNAzhlR2hsMQ0CdgCbChk9DQET67evA+UJAUwWjkjrhQkAyVTAqqTNDQEw3iUFgDUNAzTtO0ZEEQ0CppE5AEzFDQCGwcmiRHUNALbKd76ceQ0B0RpT2Bv9CQI0o7Q2+EENAUI2XbhLbQkAhH/RsVgVDQNGRXP5D8kJAXrpJDALTQkA6I0p7g/9CQIC3QILi90JAdnEbDeAVQ0Abnl4pyyBDQC6QoPgxFkNAg1FJnYAmQ0CL/WX35ClDQPhT46WbFENAZohjXdwuQ0Csrdhfdg9DQGB2Tx4WOkNA+u3rwDk7Q0C8dJMYBEZDQIqO5PIfSkNAaJHtfD/1QkB88rBQazpDQFR0JJf/KENAPZtVn6tNQ0Aofoy5a/FCQOm3rwPn3EJAp3nHKTryQkARNjy9Uh5DQH0/NV66MUNAWYY41sUFQ0DhC5OpggFDQAskKH6MaUNA30+Nl25iQ0BiodY07/BCQDPEsS5u+0JAnKIjufz/QkBzaJHtfO9CQNDVVuwvA0NAliGOdXETQ0Bd3EYDeCtDQATnjCjtJUNAp+hILv+hQ0Bd/kP67aNDQDSAt0CCikNA3pOHhVobQ0AQejarPtdCQMpUwaikFkNAC0YldQICQ0DMf0i/fVVDQJCg+DHmPkNAPE7RkVxOQ0C6awn5oAdDQKrx0k1iEENAfGEyVTACQ0B6Nqs+VyNDQIj029eBQ0NAXkvIBz1DQ0C3Yn/ZPXlDQGWqYFRSR0NAm1Wfq61YQ0COdXEbDfBCQI4G8BZIyEJAaLPqc7W9QkCEDU+vlNVCQMuhRbbzTUNAQBNhw9NTQ0DImLuWkJdDQMnlP6TfBkNAtFn1udqqQ0BWDi2ynVdDQDSitDf4QkNAtMh2vp/iQkCqglFJnehCQCPb+X5qBENAfa62Yn9pQ0CNl24Sg3hDQOxRuB6Fe0NArrZif9llQ0Cad5yiI9FCQJ+rrdhfJkNA9P3UeOnOQkCEDU+vlF1DQBiV1Alo6kJAE/JBz2YtQ0AOLbKd7x9DQHEbDeAt4EJAKxiV1AkAQ0CvlGWIY/1CQPH0SlmGAENA1xLyQc/uQkBxPQrXo+BCQCxlGeJY/0JAd76fGi/tQkBpb/CFyexCQHe+nxov/UJACD2bVZ/DQkBvgQTFj6FCQNJvXwfOwUJAexSuR+FiQ0BqvHSTGBxDQNejcD0KJ0NA63O1FfsbQ0CYTBWMShpDQFdbsb/sDkNATKYKRiX1QkB9rrZif+lCQBSuR+F65EJAejarPlc7Q0BDrWnecQpDQDcawFsgYUNAlPYGX5g8Q0D0bFZ9rk5DQGWqYFRSV0NAMuauJeRbQ0BhVFInoEFDQHDOiNLeKENAdk8eFmo1Q0CUh4Va04RDQHe+nxovDUNA001iEFgZQ0Ac6+I2GjBDQGlv8IXJdENA4lgXt9EYQ0ASpb3BFxZDQE5iEFg5bENAGeJYF7dJQ0AJih9j7kJDQDm0yHa+F0NAtoR80LMpQ0DHuriNBvBCQPRsVn2u5kJAYVRSJ6BhQ0Ck374OnPNCQGPuWkI+AENA/yH99nXIQkBIUPwYc89CQCQofoy5q0JAdCSX/5DeQkAQWDm0yB5DQIPAyqFFBkNAJXUCmghDQ0BpAG+BBE1DQMrDQq1pzkJAEce6uI0eQ0CqglFJnUhDQMxdS8gHJUNA16NwPQofQ0D4U+Olm+xCQBWMSuoEJENAhxbZzvf7QkAN4C2QoOhCQGEyVTAqIUNA8IXJVMHYQkBBguLHmONCQG3n+6nx+kJAkQ96Nqt+Q0Cz6nO1FTtDQP32deCcCUNAMQisHFoUQ0BWn6ut2HdDQP2H9NvX4UJAoImw4ek1Q0DLEMe6uCVDQHZxGw3gHUNAdQKaCBtmQ0BSJ6CJsEFDQBTQRNjwDENA54wo7Q0GQ0Db+X5qvBRDQLWmeccpKkNAyjLEsS42Q0AfhetRuPZCQHZxGw3gPUNAEhQ/xtwNQ0AwKqkT0CxDQBE2PL1SdkNAuB6F61FoQ0ClvcEXJrtDQCUGgZVDG0NArK3YX3ZPQ0CZKhiV1EFDQMP1KFyPgkNA0gDeAgkSQ0C4QILixwhDQCqpE9BEEENAb/CFyVQxQ0DImLuWkCdDQAXFjzF3bUNAF7fRAN7yQkA0ETY8vfpCQDSitDf4WkNAXCBB8WMUQ0AWak3zjltDQCcxCKwcOkNA8rBQa5r/QkCOBvAWSDhDQAIrhxbZFkNA001iEFjxQkAIPZtVn9tCQOF6FK5H0UJANxrAWyABQ0DysFBrmudCQE0VjErqTENAVFInoIkQQ0AoDwu1puFCQJkqGJXU+UJAqFfKMsSxQkB0tRX7y05DQDxO0ZFcXkNA/mX35GGJQ0BAE2HD0zNDQDm0yHa+V0NA5BQdyeXPQkDjx5i7lthCQHuDL0ym0kJADeAtkKCwQkAIPZtVn8NCQI9TdCSXd0NAJQaBlUNbQ0DOGVHaG+xCQKpgVFInaENANjy9UpbxQkC8dJMYBP5CQEp7gy9M1kJAJzEIrBwKQ0Cn6Egu/1lDQNk9eVioHUNAeHqlLEMsQ0AJ+aBnswpDQME5I0p7I0NAHqfoSC4/Q0AWak3zjitDQKg1zTtOQUNAVTAqqRMwQ0A5RUdy+f9CQDlFR3L5/0JAZF3cRgMQQ0BEi2zn+0FDQB04Z0Rp50JAbVZ9rrYCQ0DgnBGlveFCQClcj8L1sEJAvAUSFD/eQkDWxW00gO9CQDvfT42XxkJAMQisHFpkQ0BGlPYGXzBDQBKDwMqhHUNAPL1SliEGQ0CNKO0NvvBCQEku/yH97kJA63O1Ffs7Q0Am5IOezSJDQBNhw9MrVUNAAiuHFtkWQ0BX7C+7JydDQDSitDf4KkNAnMQgsHLwQkCk374OnBtDQLraiv1lL0NAXW3F/rJbQ0AbL90kBllDQG6jAbwFYkNAuY0G8BZoQ0C62or9ZVdDQIV80LNZDUNA9wZfmEw9Q0ALRiV1AkJDQAn5oGezKkNAdCSX/5BuQ0B0JJf/kE5DQHbgnBGlbUNAzqrP1VY0Q0BvgQTFjxFDQBZqTfOOE0NAAG+BBMVPQ0AAb4EExWdDQEMc6+I26kJARGlv8IURQ0Am5IOezfJCQAmKH2Pu6kJAqz5XW7E3Q0C2hHzQs0lDQILix5i7bkNAliGOdXFLQ0DF/rJ78lBDQJOpglFJXUNA9pfdk4eVQ0A0gLdAghpDQMsQx7q4TUNAfGEyVTAiQ0AyVTAqqStDQLn8h/TbJ0NANBE2PL0iQ0CRD3o2qwZDQHqlLEMcS0NAyxDHurgdQ0BxPQrXo5BDQNbFbTSAF0NAAU2EDU+fQkDOiNLe4NtCQG1Wfa62GkNA46WbxCD4QkCYTBWMSvJCQBKDwMqhTUNA6bevA+dMQ0A6kst/SC9DQM/3U+OlC0NAcvkP6bfPQkCsHFpkOw9DQF66SQwCQ0NATfOOU3TsQkBdbcX+sjtDQHGsi9toYENAFR3J5T90Q0Du68A5I7pCQN21hHzQ40JAUdobfGHaQkBIUPwYc99CQGQ730+N30JAJJf/kH4TQ0BYObTIdi5DQDY8vVKWQUNAYVRSJ6A5Q0AFxY8xdxVDQKVOQBNhE0NAr5RliGPlQkD/snvysBBDQEcDeAskOENAuK8D54wQQ0AMAiuHFkFDQJAxdy0hX0NAjNtoAG9hQ0CitDf4wjRDQJXUCWgiNENAJLn8h/QrQ0Byio7k8kdDQIEExY8x/0JA+1xtxf5aQ0BVwaikTlBDQIts5/upMUNABFYOLbJNQ0AlBoGVQ+tCQBQ/xty1xEJA/fZ14JwJQ0AhsHJokf1CQK1p3nGKBkNAVOOlm8T4QkDOiNLe4PtCQE8eFmpNO0NAmN2Th4VCQ0A0ETY8vQJDQEJg5dAiY0NAklz+Q/p9Q0DhC5OpgtlCQDtwzojS3kJAI0p7gy/kQkAldQKaCCtDQCQofoy560JAQ61p3nHCQkAg0m9fBx5DQEaU9gZfSENAk6mCUUndQkCamZmZmTFDQNbFbTSAL0NAj1N0JJcHQ0AZBFYOLTJDQLU3+MJkEkNAWDm0yHZWQ0ClvcEXJjNDQH3Qs1n1AUNAa5p3nKIzQ0BSuB6F6+lCQP32deCcCUNAZohjXdw2Q0Djx5i7lihDQJeQD3o2O0NA5j+k374eQ0Dek4eFWhtDQJF++zpwJkNAgSbChqcXQ0CTGARWDiVDQK1p3nGKJkNAY+5aQj4oQ0CYTBWMSgJDQNJvXwfO6UJAUWuad5ziQkBNhA1PrzRDQMgHPZtVV0NApN++DpxLQ0BbQj7o2RRDQB+F61G4JkNAmEwVjErKQkCpE9BE2CBDQBPyQc9mFUNA3gIJih9zQ0BvEoPAyhFDQDy9UpYhJkNABTQRNjwVQ0AbDeAtkDBDQF8pyxDHEkNA93XgnBH9QkDlYaHWNIdDQM3MzMzM5EJAMnctIR9cQ0DtDb4wmRpDQEVHcvkPOUNALGUZ4lg3Q0D5oGez6htDQE8eFmpN80JAWvW52ortQkDarPpcbVVDQMDsnjwszEJAMLsnDwuVQ0AHzhlR2pNDQEATYcPTg0NA6Gor9pdVQ0Byio7k8vdCQDxO0ZFc7kJAFD/G3LXsQkDQs1n1ufJCQEvIBz2bFUNAD5wzorQvQ0AijnVxGzVDQHh6pSxDRENATKYKRiUFQ0B6pSxDHONCQNIA3gIJMkNAgQTFjzEfQ0BfmEwVjOpCQGiz6nO1HUNAryXkg54tQ0CZKhiV1HFDQDJ3LSEfTENAIv32deBUQ0AUrkfhevxCQG3n+6nxCkNAbef7qfEKQ0A=\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"sigma\":{\"__ndarray__\":\"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LlM7D/8UGnEzD7sP1lsk4rG2uo/1a90PjxL7D9xH7k16TbrPzvCacGLPus/Brr2BfTC6z9rt11orlPrPxuC4zJuaus/tOidCrhn6z+ASL99HTjsP+OKi6Nyk+s/Vz82yY946z8OoyB4fPvqP2MnvASnvus/5pE/GHhu6z/mkT8YeG7rP/CkhcsqbOs/vTjx1Y7i6j9DVUyln3DrP4IBhA8lWuw/cCL6tfXT6j+8XMR3YlbrPxzvjozVZus/O6kvSzu16z8JxVbQtMTqP9TwLawbb+w/WvENhc/W7D9a8Q2Fz9bsP2WqYFRSp+w/cFtbeF6q7D9krDb/r7rsP416iEZ3EOs/QfLOoQzV6j8XnSy13m/rP+RqZFdaRus/Oh+eJciI6z9z9s5oqxLrPyRIpdjRuOs/D4EjgQYb7D/lDpvIzIXrPxeel4qNees/MJ5BQ/+E6z8L0/caguPrP2hAvRk1X+s/LZljeVe96j9UpwNZTy3sP+Ii93R1R+0/EXNJ1XaT7T/JVwIpsevtPzqSy39Iv+4/vcXDew4s7D8kufyH9FvqP632sBcK2Ow/rS8S2nIu7D+3t1uSA3bsP2gibHh6pew/Q+VfyyvX6j8o84++SdPqPw+BI4EGm+s/prT+lgB86z+u1onL8QrrPx7+mqxRD+s/cjEG1nF86z/uXu6To4DrP1ezzvi+uOo/Psvz4O4s6z/cSUT4F8HqP3hBRGraRes/ETRmEvWC6z8hHomXp3PrP+CEQgQcwus/qOUHrvKE6z+ez4B6M2rrP3F1AMRdves/orQ3+MLk6z9H/8u1aAHrP2iTwyedyOo/zAuwj05d7D8KL8GpDyTsP0wz3eukvus/GjBI+rSK6z8G9phIabbrPzGW6ZeIt+s/a7bykv/J6z9pyHiUSnjrP6m8HeG0YOw/I2jMJOqF7D+u2cpL/qfqP1hwP+CBgew/t/EnKhvW6z9L6ZleYqzrP3SZmgRvyOs/hdGsbB9y6z8+IxEawcbqPzbqIRrdQes/OSuiJvp86z+lETP7PEbrPxxeEJGadus/DDz3Hi456z9Xk6espmvrP9OHLqhvmes/KXXJOEYy7D/Dt7BuvLvqP812hT5YRuw/gnFw6Zhz6z9AprVpbC/rP0S+S6lLxuo/v5oDBHN07D8hWivaHGfsP9Ydi21S0ew/3NlXHqSn6z8fhetRuJ7rP/n1Q2yw8Oo/9raZCvFI6z+TUtDtJQ3rP8mRzsDIy+s/dy0hH/Ts6z+q7/yiBP3qP2ZK628JwOs/l1RtN8E37D/qQUEpWjnrP7+7lSU6S+s/M+AsJctJ6z+SPq2iP7TrP1X5npEIjes/uti0Ugjk7D8v3Lkw0gvsP2Jmn8coT+s/S5F8JZCS6z/fFcH/VrLqP3wPlxx3Sus/MdEgBU8h6z/fxJCcTFzrPxXJVwIpses/EXLe/8cJ6z/RItv5fmrrP+54k9+iE+s/9rTDX5O16z8QroBCPX3rPxnFckuroes/qmQAqOLG6z+5b7VOXA7rPw2NJ4I4j+s/G/M64pCN6z8WhV0UPXDrP9anHJPFfes/YeP6d31m6z+Y+nlTkQrsPw1RhT/DG+s/Y5gTtMnh6j88EcR5OAHrP3GpSltc4+s/DY6SV+cY6z8hPUUOEbfrPw5Pr5RliOw/NJ4I4jyc7D97T+W0p+TqP+IgIcoXtOo/v2INF7mn6j9fs1w2OmfsPyxHyECe3eo/K2ub4nFR7D+SWFLuPsfqPxOc+kDyTus/HlA25Qrv6j/4iJgSSfTqP9pYiXlW0us/s5jYfFyb6z8rL/mf/F3sP3++LViqC+w/41KVtrjG6z8OorWizfHrP/w1WaMeous/VYUGYtnM6z9zol2FlJ/rP0dX6e46m+s/kSi0rPtH6z/cuTDSi1rrP9eFH5xPnes/3QiLijid6z8rwHebN87qP4YdxqS/l+s/mtGPhlNm7D+EuHL2zmjsP+p5NxYUhus/NNjUeVR87D9LIvsgy4LsP0si+yDLguw/Im3jT1S26j/HLebnhqbqPylC6nb2les/zCTqBZ/m6j9becn/5O/qPytQi8HDNOs/UDV6NUDp6j+gpwGDpM/qP0M4ZtmTQOs/WmJlNPJ57D89C0J5H8frP0fJq3MMyOo/hbTGoBNC7D/+1eO+1brsP8R7DixHyOw/2PSgoBSt7D8HJ6JfWz/tP9Ye9kIBW+w/oI1cN6U87D9nmUUotgLsP1JEhlW8Eew/X+0ozlHH6z+wjXiymxnrP7KC34YYL+s/a9WuCWmN6z8NwXEZNzXrP1HaG3xhMus/BW9IowKn6z8A5lq0AO3rP6RyE7U0N+w/+69z02ac7D9Ksg5HV2nsP5vG9lrQe+w/AyfbwB0o7D/Co40j1uLqP02FeCReHuw/JlZGI59X7D+Qvd798d7rP9zY7Ej1Hes/kJ4ih4gb6z9VibK3lHPrP0HxY8xdS+s/EK0VbY7z6T8ao3VUNUHqP99sc2N6wuo/Hw99dytL7D9pVUs6ykHsP9IdxM4Uuuw/lSu8y0X86j9mho2yfjPsP/LOoQxVMew/tJJWfENh6z9WDi2yne/qP3O8AtGTMus/GEFjJlEv6z9a9iSwOYfrPyzxgLIpV+s/vTYbKzHP6z8y5Nh6hvDqPzPgLCXLSes/08H6P4d56z9vgJnv4KfrP+j4aHHGsOs/pDZxcr/D6z/Bjv8CQQDrP/OqzmqBPes/C2MLQQ5K6z+78e7IWG3rPxzNkZVfhus/r0D0pExq6z+/RLx1/m3rP9/+XDRkvOs//MdCdAic6z8IzEOmfAjrP6DCEaRS7Oo/M2spIO1/6z+wARHiylnrP+M0RBX+jOo/uVM6WP/n6j+5UzpY/+fqPyleZW1TPOs/Y0Z4exAC6z87Oq5GdqXrP/hRDfs9Mes/sFjDRe7p6z+WBRN/FHXrP378pUV9Eus/K2ub4nFR6z8S2JyDZ8LrP2RccXFUbus/p60RwTg46z/FxryOOGTrP0RRoE/kyeo/T3Yzox8N6z+qgHueP+3qP6CH2jaMAuw/8fRKWYa46z/pX5LKFHPrP2jr4GBvYus/3LdaJy5H6z+a7Qp9sAzrP01oklhS7uo/Mv/omzSN6j/jGMkeoebqP13iyAORxes/UhA8vr3r6z/CpWPOM/brPyh9IeS8/+s/gNWRI50B7D9O7+L9uP3rPwe0dAXbiOs/u2HbosyG6z/sL7snD4vrP0PFOH8TCuw//FWA7zbv6z9LPnYXKKnrP23+X3XkSOw/uyakNQad6z/EI/HydC7rPzeI1oo2R+s/MqoM426Q6z/HL7yS5DnrP6+0jNR7qus/zZAqilfZ6z8KoYMu4VDrP/Rr66f/LOs/16IFaFvN6j8YBiy5ikXrP841zNB4Ius/6Iam7PQD6z89nStKCUHrP0CIZMix9es/kxgEVg6t6j+QEyaMZmXsP/I/+bt31Os/SG5Nui2R6z/QZP88DRjrP+2CwTV39Oo/vmiPF9Jh6z9kBirj32frP0yo4PCCiOs/I7w9CAF56z8IclDCTFvrP6iN6nQga+s/g6J5AIv86j9i1ouhnOjrP+nWa3pQ0Os/uATgn1Il6z84Z0Rpb3DrPykHswkwLOw/wsJJmj+m6z8VysLX17rrP9vf2R69Yes/CeI8nMD06j9mLnB5rJnqP89qgT0m0uo/ehfvx+0X6z8Fhqxu9RzsP5uSrMPR1es/mYI1zqaj6z/h1AeSd47rP/8+48KBkOs/cAfqlEc37D85miMrv4zqP9XsgVZgyOw/Io51cRuN6z9QGf8+48LsP9gsl43Oeew/pZ9wdmuZ6z/UKvpDM8/rP7/zixL0l+s/1LmilBCs6z9Hj9/b9OfrP4F7nj9tVOw/1jpxOV4B6z9HVn4ZjJHqPxr9aDhl7us/q5MzFHe86z+8PQgB+RLrP97n+GhxRus/pFUt6SgH7D9Mjjulg/XrP60Tl+MVCOs/5geu8gRC6z8km6vmOSLrPyHIQQkz7eo/u7a3W5KD6z8CZylZTkLrP+oENBE2vOo/VtY2xeOi6z8EkUWaeAfsP1/Rrdf0IOw/hZSfVPv06z9/v5gtWZXqP/P/qiNHOuw/vmn67IDr6j9KlSh7S7nrP4sZ4e1BiOs/5SX/k7976z+uRnalZaTrP6zJU1bTdew/hgSMLm+O7D/TFWwjnmzrP3r/HydMmOw/8aFESx5P7D+3tYXnpeLqP6iOVUrPdOo/HnBdMSO86z9ol299WO/rP5BpbRrba+s/q5UJv9RP6z9r1hnfF5frP3GS5o9p7eo/rfvHQnSI6z9mTMEaZ9PrPw360tufi+s/cefCSC9q6z8bKzHPSlrrP/t1pztPPOs/kQn4NZIE7D/w+WGE8OjrP9SBrKdWX+s/mzqPiv+76z/+fcaFA6HrP4BFfv0Qm+s/4BCq1OyB6z9m22lrRLDrP5pBfGDH/+s/U+knnN1a6z/WxtgJL8HrP9gtAmN9g+s/I4PcRZgi7D8w1jcwudHqPwDICRNGs+s/eF+VC5V/6z9PIsK/CJrrP0bu6eqORes/JGB0eXO46z+JJlDEIgbsPyvc8pGUdOw/1lJA2v+A6j+TrMPRVTrqP1JDG4ANiOo/Q3Vz8be96j9Iwr6dRATrP2JO0CaHT+s/jxoTYi6p6z8V5dL4hdfrP/WCT3PyIus/HZQw0/Yv6z9fCDnv/+PrP8QHdvwXiOo/wOrIkc7A6j/11sBWCZbqP/EO8KSFS+w/WqFI93MK7D8kRs8tdCXsP7QdU3dlF+w/o+VAD7Xt6z/Q04BB0ifrP663zVSIx+o/4iNiSiTR6j89nStKCUHrPzaSBOEKqOs/pKt0d52N6z/jw+xl22nrP0jF/x1Roes/UmABTBm46z89u3zrw3rrP7NdoQ+Wses/zm3CvTLv6z/3AN2XM9vrP9LijGFOUOs/aJJYUu4+7D/lmCzuPzLsP+v822W/bus/6/zbZb9u6z+xMEROX0/rP/LSTWIQWOs/71nXaDnQ6z9J2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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"phi\":{\"__ndarray__\":\"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p2bARi+T9Y5xiQvV75P/AzLhwISfk/9tGpK59l+T/ZPXlYqDX5P6KcaFchZfk/vmplwi91+T8b2CrB4nD5P9Wytb5IaPk/K9mxEYhX+T9m9+RhoVb5P+Qs7GmHP/k/x7q4jQZw+T+6g9iZQmf5P3v3x3vVSvk/dXYyOEpe+T+uDRXj/E35P9PB+j+Hefk/W7bWFwlt+T93Z+22C035PxghPNo4Yvk/u+1Cc51G+T8noImw4Wn5P1uxv+yePPk/IQIOoUpN+T+2LcpskEn5P9TUsrW+SPk/bZBJRs5C+T+p3hrYKkH5PyZw626eavk/I9v5fmo8+T9xICQLmED5P9CbilQYW/k/lZ9U+3Q8+T+zXgzlRDv5P73jFB3JZfk/hqxu9Zx0+T//If32dWD5P5KRs7CnHfk/qfsApDZx+T8IrBxaZDv5P8JM27+yUvk/glZgyOpW+T+QFJFhFW/5P5FEL6NYbvk/bef7qfFS+T/hehSuR2H5P3l1jgHZa/k/7dPxmIFK+T9i+IiYEkn5P1DCTNu/Mvk/xm00gLdA+T/dzVMdcjP5P+scA7LXO/k/5BQdyeU/+T8Zc9cS8kH5P1/v/nivWvk/71UrE34p+T+5x9KHLij5P5EPejarPvk/Tx4Wak1z+T/HuriNBnD5P5eQD3o2K/k/9iNFZFhF+T9NofMau0T5PwLU1LK1Pvk/PUm6ZvJN+T8e4bTgRV/5P1dgyOpWT/k/LPGAsilX+T9yp3Sw/k/5P8AEbt3NU/k/hEcbR6xF+T9T0O0ljVH5P698lufBXfk/MlpHVRNE+T81Y9F0djL5P7ml1ZC4R/k/yv0ORYE++T8hPNo4Yi35P4DUJk7ud/k/is3HtaFi+T9XeJeL+E75P1ovhnKiXfk/HcnlP6Rf+T/Co40j1mL5P7jkuFM6WPk/bef7qfFS+T/UmuYdp2j5P9jTDn9NVvk/XFoNiXss+T8xthDkoIT5P12Kq8q+K/k/yy2thsQ9+T9v2LYos0H5P921hHzQM/k/gSbChqdX+T9tkElGzkL5P6SNI9biU/k/2ZQrvMtF+T898gcDzz35P41/n3HhQPk/1IIXfQVp+T/RItv5fmr5P4wVNZiGYfk/kpbK2xFO+T+IgEOoUjP5P3+HokCfSPk/ERlW8UZm+T99lufB3Vn5P8NkqmBUUvk/0PI8uDtr+T8yOEpenWP5Py+ob5nTZfk/LxfxnZh1+T9rt11orlP5P6KcaFchZfk/ZcdGIF5X+T82H9eGinH5P/J7m/7sR/k/IZOMnIU9+T+ILqhvmVP5PxkEVg4tMvk/8gwa+ic4+T84oRABh1D5P9BE2PD0Svk/vFzEd2JW+T+vlGWIY135P/G6fsFuWPk/zQaZZOQs+T9uUWaDTDL5P0WBPpEnSfk/zF1LyAc9+T/qCUs8oGz5P+pb5nRZTPk/swxxrItb+T+atn9lpUn5P5s90AoMWfk/pb3BFyZT+T+aJQFqaln5P9uK/WX3ZPk/9YQlHlA2+T9eEfxvJTv5PxLCo40jVvk/mEwVjEpq+T9bmfBL/Tz5P3am0HmNXfk/5pE/GHhu+T/EQq1p3nH5P8CV7NgIRPk/WP/nMF9e+T+Ens2qz1X5P5v+7EeKSPk//YLdsG1R+T/a4a/JGnX5P3QHsTOFTvk/E2HD0ytl+T8xCKwcWmT5P6G+ZU6XRfk/9zsUBfpE+T8eigJ9Ik/5PzdUjPM3Ifk/F7zoK0gz+T+jHqLRHUT5P4E+kSdJV/k/3Lqbpzpk+T+4I5wWvGj5PzsZHCWvTvk/zvxqDhBM+T/KVMGopE75P/ERMSWSaPk/7ZklAWpq+T8E4nX9gl35P/TDCOHRRvk/rmTHRiBe+T+U3je+9kz5PwKaCBueXvk/GcqJdhVS+T9dUN8yp0v5P1cJFoczP/k/lN43vvZM+T8tYAK37mb5P6g1zTtOUfk/85Nqn45H+T++3v3xXjX5P8xFfCdmPfk/t7QaEvdY+T/Z690f71X5PxsqxvmbUPk/BmSvd388+T+bj2tDxTj5Pxr6J7hYUfk/Afvo1JVP+T/qW+Z0WUz5P44G8BZIUPk/zLT9KytN+T+3RZkNMkn5P+uLhLacS/k/S8gHPZtV+T9PQBNhw1P5P0ATYcPTK/k/l1ZD4h5L+T+hLedSXFX5PzygbMoVXvk/xm00gLdA+T8oCvSJPEn5PzVj0XR2Mvk/fgBSmzg5+T/whclUwSj5P9j1C3bDNvk/GcqJdhVS+T/DZKpgVFL5PyFZwARuXfk/E/JBz2ZV+T8rajANw0f5P6ZEEr2MYvk/ox6i0R1E+T/S+8bXnln5P9i7P96rVvk/VYfcDDdg+T+xbVFmg0z5PwU0ETY8Pfk/TtGRXP5D+T/qW+Z0WUz5P2b35GGhVvk/VTAqqRNQ+T8kufyH9Fv5P3B31m67UPk/yCQjZ2FP+T+gFRiyulX5P9L7xteeWfk/ZXCUvDpH+T/UQzS6g1j5P3IW9rTDX/k/d9Zuu9Bc+T8u51JcVXb5P3AlOzYCcfk/c9cS8kFP+T+aJQFqaln5P5g0Ruuoavk/07zjFB1J+T8KEXAIVWr5P2recYqOZPk/Tx4Wak1z+T+atn9lpUn5PxMKEXAIVfk/OKEQAYdQ+T8O2xZlNkj5PzgQkgVMYPk//cHAc+9h+T92Tx4Wak35PxsS91j6UPk/rvVFQltO+T+/K4L/rWT5P0rvG197Zvk/2ht8YTJV+T/jUwCMZ1D5P+NTAIxnUPk/LJrOTgZH+T91H4DUJk75PzLJyFnYU/k/aD9SRIZV+T8fuqC+ZU75PwOy17s/Xvk/ObnfoShQ+T+IRncQO1P5PwpLPKBsSvk/fCdmvRhK+T/b3JiesET5PyHqPgCpTfk/Uz9vKlJh+T+atn9lpUn5PzsBTYQNT/k/fzDw3Hs4+T8Facai6Wz5P4UlHlA2Zfk/BYvDmV9N+T9WSPlJtU/5P1IP0egOYvk/WtjTDn9N+T/y0k1iEFj5P5huEoPASvk/LuI7MetF+T/4wmSqYFT5PzpY/+cwX/k/6Nms+lxt+T/Yuz/eq1b5PwspP6n2afk/gJ9x4UBI+T/PLAlQU0v5P4v9ZffkYfk/PDHrxVBO+T9lx0YgXlf5P7TlXIqrSvk/nL8JhQg4+T8Kou4DkFr5PxPyQc9mVfk/8uocA7JX+T+P/MHAc2/5Px+6oL5lTvk/AHSYLy9A+T/Bi76CNGP5P4rlllZDYvk/gGWlSSlo+T/7IqEt51L5P+viNhrAW/k/vrwA++hU+T/yDBr6Jzj5P4XOa+wSVfk/GvonuFhR+T/HndLB+j/5PwDjGTT0T/k/aJYEqKll+T+kjSPW4lP5P8UDyqZcYfk/4/xNKERA+T8JM23/ykr5PwKaCBueXvk/6spneR5c+T9kHvmDgWf5P9XsgVZgSPk/BaOSOgFN+T9FEr2MYjn5P9aLoZxoV/k/BOJ1/YJd+T87AU2EDU/5P+I7MevFUPk/EXAIVWp2+T96jV2iemv5P7e0GhL3WPk/QPZ698d7+T9JopdRLDf5P24Xmus0Uvk/sRafAmA8+T+oxks3iUH5P8HFihpMQ/k/S1mGONZF+T/fbHNjekL5Pz8AqU2cXPk/si5uowE8+T/WxW00gDf5PwmKH2PuWvk/3/3xXrUy+T9E+u3rwDn5P23F/rJ7cvk/2PD0SlmG+T8Uyy2thkT5P8Qlx53SQfk/pb3BFyZT+T+YhuEjYkr5P5n1YignWvk/gxd9BWlG+T81mIbhI2L5P7osJjYfV/k/P6n26XhM+T/WrZ6T3jf5P8y0/SsrTfk/lpUmpaBb+T/D0ytlGWL5PwrcupunOvk/2zNLAtRU+T8cfGEyVTD5P6pIhbGFIPk/FR3J5T8k+T94uYjvxCz5P+G04EVfQfk/3gIJih9j+T//eK9amXD5Py1gArfuZvk/h9wMN+Bz+T8C1NSytT75P7yWkA96Nvk/XoB9dOpK+T9JERlW8Ub5PyMyrOKNTPk/EHo2qz5X+T+rBIvDmV/5P0d3EDtTaPk/L2mM1lFV+T9f7/54r1r5P+DzwwjhUfk/KCfaVUh5+T8R5KCEmTb5P32utmJ/Wfk/qmVrfZFQ+T9KQbeXNEb5P9c07zhFR/k/UMJM278y+T8IyQImcGv5P2DI6lbPSfk/tf0rK01K+T+BeF2/YDf5P6btX1lpUvk/xJRIopdR+T/Z690f71X5P3XIzXADPvk/LjnulA5W+T8LDFnd6jn5P60vEtpyLvk/iNf1C3ZD+T/Bbti2KDP5PwyTqYJRSfk//8pKk1JQ+T+7RPXWwFb5P/NZngd3Z/k/B7Ezhc5r+T9RoE/kSVL5P0Uvo1huafk/mpSCbi9p+T/ja88sCVD5P93qOel9Y/k/9DKK5ZZW+T+sxacAGE/5PyGwcmiRbfk/Km9HOC14+T9MpgpGJXX5P3LcKR2sf/k/iJ0pdF5j+T/GxObj2lD5P25pNSTuMfk/eUDZlCs8+T+dnQyOklf5P25uTE9YYvk/MPDce7hk+T+3tBoS91j5P2RYxRuZR/k/V89J7xtf+T+Y3ZOHhVr5P+tztRX7S/k/6rKY2Hxc+T9NMnIW9jT5P6rU7IFWYPk/1hwgmKNH+T8jEK/rF2z5Py140VeQZvk/aW/whclU+T+2LcpskEn5P7R224XmOvk/rK3YX3ZP+T8z+WabG1P5PyBB8WPMXfk/7uvAOSNK+T/D0ytlGWL5P8dLN4lBYPk/HVpkO99P+T+0dtuF5jr5P51GWipvR/k/j9/b9Gc/+T85KGGm7V/5PzS6g9iZQvk/lDDT9q8s+T8ychb2tEP5P+AtkKD4Mfk/MlpHVRNE+T+ZnrDEA0r5PynLEMe6OPk/R8mrcwxI+T8LYwtBDkr5P2EyVTAqKfk/mz3QCgxZ+T+dRloqb0f5Py0hH/RsVvk/sD2zJEBN+T/9gt2wbVH5PykiwyreSPk/ejarPldb+T9XeJeL+E75Pwfr/xzmS/k/w2SqYFRS+T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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"sigma\":{\"__ndarray__\":\"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] }, { "cell_type": "markdown", "metadata": {}, "source": [ "ArviZ generates two plots for each variable. The plots to the right show the **trace** of the sampler. In this plot, the x-axis is the iteration number of the steps of the walker and the y-axis is the values of the parameter for that step.\n", "\n", "ArviZ also plots a picture of the marginalized posterior distribution for each trace to the left. The issue I have these plots because they use [kernel density estimation](https://en.wikipedia.org/wiki/Kernel_density_estimation) for the posterior plot. KDE involves selecting a bandwidth, which leaves an adjustable parameter. I prefer simply to plot the ECDFs of the samples to visualize the marginal distributions, as I [show below](#Plots-of-marginalized-distributions)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Trace plots with bebi103\n", "\n", "To make trace plots with the bebi103 module, you can do the following." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "
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QxAA0NWt3qODEDrrYGtEuwPQHbgnBGlvQ9AJ6CJsOFpDUDxaOOItTgNQLTIdr6f2g5AK9mxEYhXDkDZ690f75UOQM2SADW1rA1Af03WqIdoDkBOtKuQ8hMOQDbNO07R0Q1AJ6Wg20vaDUCgMv59xoUOQCIa3UHszA1AhV/q500lEEDJWdjTDh8QQBkEVg4tEhBAnBa86CvID0C94xQdyeUPQAqd19glqg5A48eYu5bQDUBuizIbZBIPQEgbR6zFZw5A3h/vVSuTDUBaEqCmlq0NQN5UpMLYwg1AcXK/Q1HgDUDzdoTTgtcNQIe/JmvUww1A6Gor9pedDUA26iEa3YEOQC7iOzHrRQ9AMo/8wcCzDUBCeLRxxNoOQFG9NbBVAg5Apdqn4zGDDUBybagY5y8NQC/APjp1JQ1A2IFzRpS2DUBF2PD0StkNQP/sR4rIcA1AMj1hiQfUDkCGIAclzHQOQOw00lJ5ew5Ap5GWytsRDkA57pQO1j8OQBzO/GoOUA5ATHFV2XdFDUBtxf6ye/IOQEUqjC0EOQ5AtMh2vp8aDkCrPldbsf8NQNj1C3bDtg1AMdP2r6x0D0ALJCh+jHkPQMJR8uocAw9Asp3vp8bLDkC4O2u3XWgNQJusUQ/RqA9AR3L5D+n3DkDyBwPPvQcPQPYjRWRYhQ5AI0p7gy+MDUDpQxfUt8wNQI1donprIA9A8piByvg3D0AlQE0tW2sPQEc9RKM7SA1AOgZkr3f/DUA/bypSYWwOQL0d4bTgxQ5Agez17o83DUDBbti2KDMNQESjO4idKQ5ARKM7iJ0pDkBH5pE/GPgNQPCFyVTBqA1AYRqGj4ipDkDxKQDGMygOQFj/5zBfng5A7dgIxOt6DkCyLm6jAfwOQI0LB0KyQA9A499nXDhQDkDVsrW+SCgNQOTaUDHO3w9AMnctIR/0D0CTNeohGt0PQLubpzrk5g9Aaw4QzNGjDEAN/RNcrKgMQPBt+rMfqQxAQ+IeSx/6DkBaL4Zyol0PQPIHA8+9hw9A7YFWYMiqDkDM0eP3Nj0PQApLPKBsCg9ASphp+1fWDkCgMv59xgUOQKVJKej2Eg5ASgwCK4cWDUBQGf8+4wINQDAqqRPQhAxAklz+Q/qtDEAz+WabG5MMQKnBNAwf0Q5Abmk1JO5xDkA2zTtO0dENQHhF8L+V7AxAzeSbbW6MDkCKWS+GcmINQGU2yCQjJw1A8WPMXUtIDkD3deCcESUOQLt+wW7Ydg9A7DTSUnl7DkAlkuhlFEsOQJy/CYUIOA5ANh/XhopxDkDY0w5/TdYPQFUTRN0HoA9ApBmLprMTD0AeigJ9Ig8PQD9SRIZVfA5A7ncoCvRJDUCfq63YX7YOQGh5HtydtQ1ABWnGoulsDkDB4nDmVzMOQMHicOZXMw5AXb9gN2wbD0D2XRH8byUOQAywj05d+Q1AveMUHcllDkB7ZkmAmpoOQHqqQ26GWw5AqrcGtkowDkBHVRNE3ccOQOi8xi5RvQ5APQ/uztptDUAMHxFTIokNQEsC1NSy9Q1An5PeN762DkBwQiECDqEPQKa4quy7og9Ayhr1EI1uDUAj2/l+ajwOQNO84xQdiQ1AZhTLLa0GDkADlfHvMy4OQBR5knTNpAxAQZqxaDr7DEA57pQO1j8OQBXGFoIc1A5A+GuyRj0ED0AmqrcGtgoPQCxIMxZNpw5AdjdPdcjNDUCaQuc1dokNQPLNNjemJw5AcOtunurQDUDVsrW+SOgNQFMFo5I6AQ5AFvvL7snDDkCs/3OYLy8NQGXCL/XzJg9Av9TPm4rUDED52jNLApQPQI1iuaXVkAxApriq7LviDEBClZo90AoPQJBmLJrOjg9AxXJLqyFxD0CqZWt9kRAOQHcQO1PofA1AJxQi4BBqDUCwPbMkQI0OQEc9RKM7CA5A4Nv0Zz8SDkAwZHWr56QNQL+CNGPRtAxA+FPjpZsEDUCWlSaloJsNQPbuj/eqVQ5ActwpHaw/DkDGv8+4cGAOQCmuKvuuSA5A2CrB4nDmDUAEIVnABO4MQOkOYmcKHQ1A5Pc2/dnPDEDdQexMobMMQLMkQE0tWw1AaD9SRIYVDUBpOjsZHOUOQN481SE3ww1AdY4B2esdDkC6SQwCK8cNQAtGJXUCmg5AgA7z5QUYDkCeDI6SV2cNQGzsEtVbww1A2v6VlSalDkDdXtIYrSMOQHOdRloqrw5AKsb5m1AID0AVdHtJYzQPQIaPiCmRBA9AfqmfNxUpDkB1sP7PYf4OQOcYkL3e/QxA8gwa+if4DEBCJhk5C/sMQJJc/kP67Q5AtvP91HipDEAQejarPlcPQJfFxObjmg1A3Esao3WUDUBTeTvCaUENQH4dOGdE6QxAQni0ccQaD0Cd9L7xtScOQL6HS447JQ5ADDz3Hi65DkBYObTIdn4OQPtXVpqUAg5AFsH/VrJjDkByv0NRoE8NQIQSZtr+VQ9AfPKwUGvaDkAWhzO/msMNQAsMWd3qeQ1Akx0bgXidDUDVeOkmMcgNQCtqMA3DRw1ARfC/leyYDUBWfa62Yv8OQH3ogvqWuQxAX5hMFYyKDEBnYU87/DUOQFsIclDCTA1AT6+UZYijDUBBfcucLssOQKDDfHkBtg1At5xLcVUZD0DulA7W/3kOQL0Yyol21Q1AX7Uy4Ze6DUAlXTP5ZhsOQHuIRncQ+w1A+BkXDoQkDkDxRuaRPxgOQFQdcjPcQA5AXfksz4N7DEArGJXUCegMQAt72uGviQ1AgbIpV3hXDkDLhF/q5w0OQLRZ9bnaig1AniRdM/mmDECp9ul4zIAMQINMMnIWtg5AfjUHCOZoDkByM9yAz08NQJpC5zV2yQ1ApU5AE2EDDUB4l4v4TowMQMKjjSPW4g5AXI/C9ShcDkDymIHK+DcOQJqxaDo7WQ5AZyeDo+QVDkCHUKVmD/QNQF97ZkmAmgxAh1ClZg+0D0CdY0D2encMQFFrmnec4g1AsTOFzmusDUCHp1fKMoQNQDSFzmvsEg5A/wQXK2rwDkDxS/28qYgPQL0Yyol2FQ1AhuY6jbTUDUDSNZNvtrkOQMQI4dHG0Q5AKLhYUYOpDECLNzKP/EEPQNMTlnhAGQ9Arg0V4/yNDUDCTNu/spIOQAjJAiZwKw5AKe0NvjAZDkAmHlA25UoNQCTW4lMADA5AeLRxxFo8DkBzhXe5iK8OQCECDqFKDQ5AZfz7jAtHDkBy4UBIFvANQLD+z2G+PA5Aieqtga2SDUDnqQ65Ge4OQKTk1TkGZA5AKld4l4v4DUCUh4Va0zwOQC0JUFPLVg1AIF7XL9jNDkB7a2CrBAsOQBYYsrrVcw1Aq7LviuA/DUBYVpqUgq4NQC7FVWXf1Q1AL4Zyol2FDEBIUPwYc5cMQLHEA8qm3AxAsBu2LcrsDEDUfQBSm7gMQCy3tBoS9w1AHvmDgefeDUA9fm/Tnz0OQKN1VDVBFA5A+MJkqmCUDUBubkxPWCIOQOscA7LXOw5Ao68gzVh0DkDy0k1iEFgOQLddaK7TyA5A+KV+3lQkDkD1udqK/eUMQALZ690f7wxAttYXCW05DUBkdavnpDcOQPUQje4gdg1AGVbxRuZRDkD+t5IdGwEOQOIeSx+6oA5Az72HS467DkBPQBNhw1MPQFVNEHUfQA9AvvbMkgB1DUBLqyFxjyUNQBCv6xfshg1AKzV7oBUYDkDNdRppqTwNQE60q5DyEw1Asacd/posDkBKDAIrh1YNQKOSOgFNhA1AYLAbti3KDkBuhhvw+eENQODzwwjh0Q1Au7iNBvAWDkC1VN6OcNoNQCFZwARu3Q5A1xcJbTnXDkAZVvFG5pEOQBsS91j6kA5AdcjNcAO+DEBwmdNlMTEMQO/hkuNOKQxAM/lmmxuTDUA9Sbpm8o0NQBbe5SK+0w1AIbByaJHtDUAvwD46dSUOQDNt/8pKEw5AZ5sb0xOWDkBangd3Z+0NQHfzVIfcjA5A6ZrJN9scD0D6RJ4kXfMOQKdc4V0uog5ARrHc0mpID0B0B7EzhY4MQLlTOlj/ZwxAr3yW58EdDUCx4emVsgwNQHAlOzYCcQ5ATHFV2XcFD0C0ccRafMoMQA3gLZCguA5AtKuQ8pNqDkB9kdCWc6kNQITwaOOINQ5ANdJSeTtCD0CduvJZnocOQDQRNjy9kgxACqLuA5DaDEA/UkSGVXwMQLh1N091yA1Agy9MpgrGDkDGbTSAt4AOQFw9J71vPA9AMGR1q+ekDUD8AKQ2cXINQASQ2sTJvQ1Ay9sRTgueDkDrxVBOtOsOQI1donproA5A3eo56X1jDUD6CtKMRVMOQAVpxqLpbA5Aa5+OxwwUDkAF+kSeJJ0NQOQPBp57zw1AGlHaG3whDUBI+Um1T4cMQKpgVFInIAxATtGRXP6DDUBS1QRR90ENQJFhFW9k3g1AKZZbWg2JDkDMtP0rK40OQAkWhzO/2g5A+8vuycMCDkBhw9MrZVkOQCtqMA3DxwxA7j1cctzpDkDKGvUQjW4NQMmTpGsm3wxAxEKtad5xDUBVwaikToANQNC4cCAkSw5ApvJ2hNOCDkCf5Xlwd5YPQJ+T3je+dg9AUyKJXkZxDkAMk6mCUckNQP8EFytqcA1AjC0EOShhDUDd71AU6FMNQAsMWd3quQ1AsD2zJEDNDkBE3QcgtYkNQDnWxW00gA1A1lbsL7unDUAsvMtFfKcNQAn5oGezKg5ACAPPvYcLDUBNvtnmxvQMQEHUfQBSWw5AYYkHlE25DkDpt68D58wOQIW2nEtxVQ5Agq0SLA5nDkCrPldbsT8OQG/whclUwQxABFYOLbLdDEDIDFTGvw8PQJGb4QZ8fg5A36Y/+5FiDkBOYhBYOfQOQI+lD11Qnw5A+rg2VIxzDkCbPdAKDJkNQFnd6jnpPQ5ABP9byY4NDkDDR8SUSCIOQCp0XmOXaA5AFMstrYZEDkDJ5T+k3/4NQPTDCOHRhg5A0VeQZiwaDUAyOEpenaMNQAr0iTxJ+g1AsW1RZ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bebi103.viz.trace(samples)\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Interpetation of trace plots\n", "\n", "These trace plots look pretty good; the sampler is bounding around a central value. Trace plots are very commonly used, which is why I present them here, but are not particularly useful. This is not just my opinion. [Here](https://youtu.be/E8vdXoJId8M?t=669) is what Dan Simpson has to say about trace plots." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Parallel coordinate plots\n", "\n", "As Dan Simpson pointed out in his talk I linked to above, plots that visualize diagnostics effectively are better. We will talk more about diagnostics of MCMC in later lessons, but for now, I will display one of the diagnostic plots Dan showed in his talk. Here, we put the parameter names on the x-axis, and we plot the values of the parameters on the y-axis. Each line in the plot represents a single sample of the set of parameters." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Parallel coordinate plots with ArviZ" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "
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bebi103.viz.parcoord(\n", " samples,\n", " transformation=\"minmax\",\n", " parameters=[\"phi\", \"gamma_\", \"sigma\"],\n", " )\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Intepretation of parallel coordinate plots\n", "\n", "Normally, samples with problems are plotted in another color to help diagnose the problems. In this particular set of samples, there were no problems, so everything looks fine.\n", "\n", "Interestingly, the \"neck\" between `phi` and `gamma_` is indicative of anticorrelation. When φ is high, γ is low, and vice-versa." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Plots of marginalized distributions\n", "\n", "While we cannot in general plot a multidimensional distribution, we can plot marginalized distributions, either of one parameter or of two." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Plotting marginalized distributions of one parameter\n", "\n", "There are three main options for plotting marginalized distributions of a single parameter.\n", "\n", "1. A kernel density estimate of the marginalized posterior.\n", "2. A histogram of the marginalized posterior.\n", "3. An ECDF of the samples out of the posterior for a particular parameter. This approximates the CDF of the marginalized distribution.\n", "\n", "I prefer (3), though (2) is a good option as well. For continuous parameters, ArviZ offers only a KDE plot." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Plotting marginalized distributions with ArviZ\n", "\n", "We already saw that ArviZ can give these plots along with trace plots. We can also directly plot them using the `az.plot_density()`. When using this function, the distributions are truncated at the bound of the **highest probability density region**, or **HPD**. If we're considering a 95% credible interval, the HPD interval is the shortest interval that contains 95% of the probability of the posterior. By default, `az.plot_density()` truncates the plot of the KDE of the PDF for a 94% HPD." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "
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We can then use `iqplot` to make plots of histograms or ECDFs.\n", "\n", "To do so, we need to convert the posterior samples to a tidy data frame." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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log10_phigamma_sigmaphichain__draw__diverging__
01.581500.8620054.0481638.150100False
11.589200.8245943.8971738.832501False
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" ], "text/plain": [ " log10_phi gamma_ sigma phi chain__ draw__ diverging__\n", "0 1.58150 0.862005 4.04816 38.1501 0 0 False\n", "1 1.58920 0.824594 3.89717 38.8325 0 1 False\n", "2 1.58412 0.844581 3.97066 38.3812 0 2 False\n", "3 1.58683 0.850322 3.89043 38.6218 0 3 False\n", "4 1.58052 0.858429 3.55571 38.0649 0 4 False" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Convert to data frame\n", "df_mcmc = bebi103.stan.arviz_to_dataframe(samples)\n", "\n", "# Take a look\n", "df_mcmc.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, we can use `iqplot` to make histograms." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "
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df_mcmc, q=param, density=True, rug=False, frame_height=150\n", " )\n", " for param in [\"phi\", \"gamma_\", \"sigma\"]\n", "]\n", "\n", "bokeh.io.show(bokeh.layouts.gridplot(hists, ncols=1))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A better option, in my opinion, is to make ECDFs of the samples." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "
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FJ6j8KSzygbErqPwpLPKBsSuo/nfF9calK6j+d8X1xqUrqP671RUJbTuo/rvVFQltO6j8kJT0MrU7qPyQlPQytTuo/QIS4cvZO6j9AhLhy9k7qPzeJQWDlUOo/N4lBYOVQ6j8k0GBT51HqPyTQYFPnUeo/xofZy7ZT6j/Gh9nLtlPqP3Ai+rX1U+o/cCL6tfVT6j8EyTuHMlTqPwTJO4cyVOo/+KqVCb9U6j/4qpUJv1TqPyRjtfl/Veo/JGO1+X9V6j8S2nIuxVXqPxLaci7FVeo/02hyMQZW6j/TaHIxBlbqP5liDoKOVuo/mWIOgo5W6j86ArhZvFjqPzoCuFm8WOo/GAgCZOhY6j8YCAJk6FjqP1zknq7uWOo/XOSeru5Y6j+++njou1vqP776eOi7W+o/JLn8h/Rb6j8kufyH9FvqPzPiAtAoXeo/M+IC0Chd6j8b1lQWhV3qPxvWVBaFXeo/gXwJFRxe6j+BfAkVHF7qP8YzaOifYOo/xjNo6J9g6j91OSUgJmHqP3U5JSAmYeo/cLa5MT1h6j9wtrkxPWHqPxTObi2TYeo/FM5uLZNh6j+GksmpnWHqP4aSyamdYeo/KZKvBFJi6j8pkq8EUmLqP+WdQxmqYuo/5Z1DGapi6j9WSs/0EmPqP1ZKz/QSY+o/Q6m9iLZj6j9Dqb2ItmPqP555Oey+Y+o/nnk57L5j6j/xftx++WTqP/F+3H75ZOo/pwcFpWhl6j+nBwWlaGXqPw3GiEShZeo/DcaIRKFl6j/1udqK/WXqP/W52or9Zeo/Sgfr/xxm6j9KB+v/HGbqP7DFbp9VZuo/sMVun1Vm6j+z0M5pFmjqP7PQzmkWaOo/KgDGM2ho6j8qAMYzaGjqP/z/OGHCaOo//P84YcJo6j9Z2xSPi2rqP1nbFI+Lauo/rfiGwmdr6j+t+IbCZ2vqP6UtrvGZbOo/pS2u8Zls6j99sIwN3WzqP32wjA3dbOo/424QrRVt6j/jbhCtFW3qP9doOdBDbeo/12g50ENt6j+4kbJF0m7qP7iRskXSbuo/W3nJ/+Rv6j9becn/5G/qP3AlOzYCceo/cCU7NgJx6j+Aft+/eXHqP4B+3795ceo/vY+jObJy6j+9j6M5snLqPz19BP7wc+o/PX0E/vBz6j/zHfzEAXTqP/Md/MQBdOo/16axvRZ06j/XprG9FnTqP7Ss+8dCdOo/tKz7x0J06j+ojlVKz3TqP6iOVUrPdOo/Xi9NEeB06j9eL00R4HTqP6zJU1bTdeo/rMlTVtN16j9tWFNZFHbqP21YU1kUduo/BWoxeJh26j8FajF4mHbqP2A6rdugduo/YDqt26B26j//zvboDXfqP//O9ugNd+o/r+yCwTV36j+v7ILBNXfqP8ozL4fdd+o/yjMvh9136j8w8rImFnjqPzDysiYWeOo/4A8//z146j/gDz//PXjqPw3gLZCgeOo/DeAtkKB46j8Aqrhxi3nqPwCquHGLeeo/BRVVv9J56j8FFVW/0nnqP3sUrkfheuo/exSuR+F66j9vDtdqD3vqP28O12oPe+o/tyVywRl86j+3JXLBGXzqP1a6u86GfOo/Vrq7zoZ86j9IbHcP0H3qP0hsdw/Qfeo/rhIsDmd+6j+uEiwOZ37qPzs2AvG6fuo/OzYC8bp+6j81s5YC0n7qPzWzlgLSfuo/HqfoSC5/6j8ep+hILn/qPxXEQNe+gOo/FcRA176A6j/WUkDa/4DqP9ZSQNr/gOo/ucMmMnOB6j+5wyYyc4HqP7NAu0OKgeo/s0C7Q4qB6j+QLjatFILqP5AuNq0Uguo/3+ALk6mC6j/f4AuTqYLqP31dhv90g+o/fV2G/3SD6j+eP21Up4PqP54/bVSng+o/cD/ggQGE6j9wP+CBAYTqP533/3HChOo/nff/ccKE6j/DRIMUPIXqP8NEgxQ8heo/bJc2HJaG6j9slzYclobqP64rZoS3h+o/ritmhLeH6j9SQxuADYjqP1JDG4ANiOo/gCvZsRGI6j+AK9mxEYjqP5cfuMoTiOo/lx+4yhOI6j/EB3b8F4jqP8QHdvwXiOo/UitM32uI6j9SK0zfa4jqP4oBEk2giOo/igESTaCI6j+EZte9FYnqP4Rm170Vieo/mkLnNXaJ6j+aQuc1donqP/llMEYkiuo/+WUwRiSK6j+0ccRafIrqP7RxxFp8iuo/AgzLn2+L6j8CDMufb4vqP/BS6pJxjOo/8FLqknGM6j+P/wJBgIzqP4//AkGAjOo/OZojK7+M6j85miMrv4zqP9hGPNnNjOo/2EY82c2M6j/jNEQV/ozqP+M0RBX+jOo/Mv/omzSN6j8y/+ibNI3qP2VSQxuAjeo/ZVJDG4CN6j9ORpVh3I3qP05GlWHcjeo/7fKtD+uN6j/t8q0P643qPxrba0Hvjeo/GttrQe+N6j8OvcXDe47qPw69xcN7juo/PKWD9X+O6j88pYP1f47qP5QVw9UBkOo/lBXD1QGQ6j+rCaLuA5DqP6sJou4DkOo/19mQf2aQ6j/X2ZB/ZpDqP7Xf2omSkOo/td/aiZKQ6j+CdLFppZDqP4J0sWmlkOo/IAn7dhKR6j8gCft2EpHqP2pQNA9gkeo/alA0D2CR6j9HVn4ZjJHqP0dWfhmMkeo/hq+vdamR6j+Gr691qZHqP+tVZHRAkuo/61VkdECS6j/8xteeWZLqP/zG155Zkuo/5KJaRBST6j/kolpEFJPqPxGLGHYYk+o/EYsYdhiT6j+7JTlgV5PqP7slOWBXk+o/CtgORuyT6j8K2A5G7JPqP3+/mC1Zleo/f7+YLVmV6j+EKjV7oJXqP4QqNXugleo/YjB/hcyV6j9iMH+FzJXqP/XWwFYJluo/9dbAVgmW6j9V+glnt5bqP1X6CWe3luo/6KBLOPSW6j/ooEs49JbqP/N2hNOCl+o/83aE04KX6j8ucHmsGZnqPy5weawZmeo/iSgmb4CZ6j+JKCZvgJnqP2YucHmsmeo/Zi5weayZ6j8hOgSOBJrqPyE6BI4Emuo/weYcPBOa6j/B5hw8E5rqP65FC9C2muo/rkUL0Laa6j8HtkqwOJzqPwe2SrA4nOo/XANbJVic6j9cA1slWJzqP6Df929enOo/oN/3b16c6j9P5bSn5JzqP0/ltKfknOo/mBQfn5Cd6j+YFB+fkJ3qPwiRDDm2nuo/CJEMObae6j8k8Ief/57qPyTwh5//nuo/5Ga4AZ+f6j/kZrgBn5/qP3KKjuTyn+o/coqO5PKf6j+1TlyOV6DqP7VOXI5XoOo/BRkBFY6g6j8FGQEVjqDqPwqEnWLVoOo/CoSdYtWg6j9lVBnG3aDqP2VUGcbdoOo/X9Gt1/Sg6j9f0a3X9KDqPzy/KEF/oeo/PL8oQX+h6j82PL1SlqHqPzY8vVKWoeo/P+JXrOGi6j8/4les4aLqPx3oobYNo+o/Heihtg2j6j/v5xTkZ6PqP+/nFORno+o/jpQtknaj6j+OlC2SdqPqP5P/yd+9o+o/k//J372j6j8sKXef46PqPywpd5/jo+o/wM+4cCCk6j/Az7hwIKTqP3ZwsDcxpOo/dnCwNzGk6j8sEaj+QaTqPywRqP5BpOo/3C4012mk6j/cLjTXaaTqP7k0fuGVpOo/uTR+4ZWk6j+ygXSxaaXqP7KBdLFppeo/B8+EJoml6j8Hz4QmiaXqP7A5B8+Epuo/sDkHz4Sm6j/HLebnhqbqP8ct5ueGpuo/OfJAZJGm6j858kBkkabqP0ljtI6qpuo/SWO0jqqm6j/dCfZf56bqP90J9l/npuo/v2INF7mn6j+/Yg0XuafqP7NcNjrnp+o/s1w2Ouen6j+u2cpL/qfqP67Zykv+p+o/E4B/SpWo6j8TgH9KlajqPyTx8nSuqOo/JPHydK6o6j/DnQsjvajqP8OdCyO9qOo/S1ZFuMmo6j9LVkW4yajqP1ZETfT5qOo/VkRN9Pmo6j8M5US7CqnqPwzlRLsKqeo/pfYi2o6p6j+l9iLajqnqPyKphZLJqeo/IqmFksmp6j+TVRFuMqrqP5NVEW4yquo/h086kWCq6j+HTzqRYKrqP55DGapiquo/nkMZqmKq6j83bcZpiKrqPzdtxmmIquo/0ZZzKa6q6j/RlnMprqrqP2rAIOnTquo/asAg6dOq6j9eukkMAqvqP166SQwCq+o/z04GR8mr6j/PTgZHyavqP3089N2trOo/fTz03a2s6j8z3eukvqzqPzPd66S+rOo/sI9OXfms6j+wj05d+azqP5MYBFYOreo/kxgEVg6t6j/M7snDQq3qP8zuycNCreo/6E1FKoyt6j/oTUUqjK3qP53WbVD7reo/ndZtUPut6j9HcY46Oq7qP0dxjjo6ruo/rS8S2nKu6j+tLxLacq7qP9sX0At3ruo/2xfQC3eu6j9N3CqIga7qP03cKoiBruo/aTum7squ6j9pO6buyq7qP6ERbFz/ruo/oRFsXP+u6j+EmiFVFK/qP4SaIVUUr+o/6lil9Eyv6j/qWKX0TK/qP0CmtWlsr+o/QKa1aWyv6j9n8zgM5q/qP2fzOAzmr+o/wJMWLquw6j/AkxYuq7DqP40o7Q2+sOo/jSjtDb6w6j/idf2C3bDqP+J1/YLdsOo/+Wncm9+w6j/5adyb37DqPzfDDfj8sOo/N8MN+Pyw6j9Ot+wQ/7DqP0637BD/sOo/ahZod0ix6j9qFmh3SLHqP98Vwf9Wsuo/3xXB/1ay6j9AUdmwprLqP0BR2bCmsuo/q5LIPsiy6j+rksg+yLLqP/BuZYnOsuo/8G5lic6y6j/wbmWJzrLqP/BuZYnOsuo/cqQzMPKy6j9ypDMw8rLqP/TBMjZ0s+o/9MEyNnSz6j9lbr4R3bPqP2VuvhHds+o/WmjnNAu06j9aaOc0C7TqP+IgIcoXtOo/4iAhyhe06j8m/b0UHrTqPyb9vRQetOo/hjjWxW206j+GONbFbbTqPwPrOH6otOo/A+s4fqi06j/K/KNv0rTqP8r8o2/StOo/220Xmuu06j/bbRea67TqP0AUzJiCteo/QBTMmIK16j8Ai/z6IbbqPwCL/Pohtuo/Im3jT1S26j8ibeNPVLbqP2ZJgJpatuo/ZkmAmlq26j/HhJhLqrbqP8eEmEuqtuo/9GxWfa626j/0bFZ9rrbqPwXeyafHtuo/Bd7Jp8e26j8yrrg4KrfqPzKuuDgqt+o/SaKXUSy36j9JopdRLLfqPywrTUpBt+o/LCtNSkG36j8PtAJDVrfqPw+0AkNWt+o/E+8AT1q46j8T7wBPWrjqP1ezzvi+uOo/V7PO+L646j/fawiOy7jqP99rCI7LuOo/lQwAVdy46j+VDABV3LjqPzS5GAPruOo/NLkYA+u46j80uRgD67jqPzS5GAPruOo/RSqMLQS56j9FKowtBLnqP1vuzATDueo/W+7MBMO56j8cfcwHBLrqPxx9zAcEuuo/TrhX5q266j9OuFfmrbrqPwnE6/oFu+o/CcTr+gW76j/Dt7BuvLvqP8O3sG68u+o/c9U8R+S76j9z1TxH5LvqPzrnpzgOvOo/OuenOA686j/Zk8DmHLzqP9mTwOYcvOo/6gQ0ETa86j/qBDQRNrzqP6ClK9hGvOo/oKUr2Ea86j/vb9BefbzqP+9v0F59vOo/n3WNlgO96j+fdY2WA73qP5Nvtrkxveo/k2+2uTG96j9JEK6AQr3qP0kQroBCveo/LZljeVe96j8tmWN5V73qP0ONQpJZveo/Q41Cklm96j98YwgAjr3qP3xjCACOveo/Q3Vz8be96j9DdXPxt73qP4CeBgySvuo/gJ4GDJK+6j9jJ7wEp77qP2MnvASnvuo/Gcizy7e+6j8ZyLPLt77qP1Bu2/eov+o/UG7b96i/6j84Mo/8wcDqPzgyj/zBwOo/wOrIkc7A6j/A6siRzsDqP1+X4T/dwOo/X5fhP93A6j/cSUT4F8HqP9xJRPgXweo//RNcrKjB6j/9E1ysqMHqP99sc2N6wuo/32xzY3rC6j9oJa34hsLqP2glrfiGwuo/aCWt+IbC6j9oJa34hsLqP5UNayqLwuo/lQ1rKovC6j/D9Shcj8LqP8P1KFyPwuo/vXK9babC6j+9cr1tpsLqP4SEKF/Qwuo/hIQoX9DC6j9KlpNQ+sLqP0qWk1D6wuo/LQd6qG3D6j8tB3qobcPqP0T7WMFvw+o/RPtYwW/D6j/jp3FvfsPqP+OncW9+w+o/qrncYKjD6j+qudxgqMPqPyzvqgfMw+o/LO+qB8zD6j/GGFjH8cPqP8YYWMfxw+o/kq0upwTE6j+SrS6nBMTqPwRauoJtxOo/BFq6gm3E6j9eKjbmdcTqP14qNuZ1xOo/CcVW0LTE6j8JxVbQtMTqPxSzXgzlxOo/FLNeDOXE6j8wEtpyLsXqPzAS2nIuxeo/XfqXpDLF6j9d+pekMsXqP3/cfvlkxeo/f9x++WTF6j/UKY9uhMXqP9Qpj26Exeo/RL5LqUvG6j9EvkupS8bqPz4jERrBxuo/PiMRGsHG6j+SWFLuPsfqP5JYUu4+x+o/rrfNVIjH6j+ut81UiMfqP3XJOEayx+o/dck4RrLH6j8O8+UF2MfqPw7z5QXYx+o/ejTVk/nH6j96NNWT+cfqP0fJq3MMyOo/R8mrcwzI6j/bb+1EScjqP9tv7URJyOo/NUBpqFHI6j81QGmoUcjqPzurBfaYyOo/O6sF9pjI6j9ok8MnncjqP2iTwyedyOo/2lcepKfI6j/aVx6kp8jqP5D4FWu4yOo/kPgVa7jI6j8vpS4Zx8jqPy+lLhnHyOo/6rDCLR/J6j/qsMItH8nqP1bysbtAyeo/VvKxu0DJ6j8c7E0MycnqPxzsTQzJyeo/RFGgT+TJ6j9EUaBP5MnqP9f34SAhyuo/1/fhICHK6j9JvDydK8rqP0m8PJ0ryuo/xm6fVWbK6j/Gbp9VZsrqP/jB+dSxyuo/+MH51LHK6j8mqrcGtsrqPyaqtwa2yuo/b/HwngPL6j9v8fCeA8vqP5zB3y9my+o/nMHfL2bL6j8lehnFcsvqPyV6GcVyy+o/CAPPvYfL6j8IA8+9h8vqPzBoIQGjy+o/MGghAaPL6j81071O6svqPzXTvU7qy+o/ea9amfDL6j95r1qZ8MvqP8h5/x8nzOo/yHn/HyfM6j8YRKSmXczqPxhEpKZdzOo/LQjlfRzN6j8tCOV9HM3qP9eiBWhbzeo/16IFaFvN6j+7K7tgcM3qP7sru2Bwzeo/qaJ4lbXN6j+poniVtc3qP19DcFzGzeo/X0NwXMbN6j+jBz4GK87qP6MHPgYrzuo/0O/7Ny/O6j/Q7/s3L87qPyvAd5s3zuo/K8B3mzfO6j+ADYgQV87qP4ANiBBXzuo/aOkKthHP6j9o6Qq2Ec/qP5bRyOcVz+o/ltHI5xXP6j+3s688SM/qP7ezrzxIz+o/zqeOVUrP6j/Op45VSs/qPwwBwLFnz+o/DAHAsWfP6j/ZlZaRes/qP9mVlpF6z+o/oKcBg6TP6j+gpwGDpM/qP9hl+E830Oo/2GX4TzfQ6j8hrTHohNDqPyGtMeiE0Oo/r9AHy9jQ6j+v0AfL2NDqP4dT5uYb0eo/h1Pm5hvR6j/iI2JKJNHqP+IjYkok0eo/GeJYF7fR6j8Z4lgXt9HqPzDWNzC50eo/MNY3MLnR6j8Zyol2FdLqPxnKiXYV0uo/z2qBPSbS6j/PaoE9JtLqP89qgT0m0uo/z2qBPSbS6j/8Uj9vKtLqP/xSP28q0uo/YhHDDmPS6j9iEcMOY9LqP2d8X1yq0uo/Z3xfXKrS6j8HKXgKudLqPwcpeAq50uo/t0YE4+DS6j+3RgTj4NLqP1bzHJHv0uo/VvMcke/S6j+xw5j099LqP7HDmPT30uo/clKY9zjT6j9yUpj3ONPqPyjzj75J0+o/KPOPvknT6j99QKAzadPqP31AoDNp0+o/tRZmoZ3T6j+1FmahndPqPyfbwB2o0+o/J9vAHajT6j8F4Qoo1NPqPwXhCijU0+o/FVJ+Uu3T6j8VUn5S7dPqP3Ai+rX10+o/cCL6tfXT6j/9LQH4p9TqP/0tAfin1Oo/NgTHZdzU6j82BMdl3NTqP0HyzqEM1eo/QfLOoQzV6j/2evfHe9XqP/Z698d71eo/GF3eHK7V6j8YXd4crtXqP1w5e2e01eo/XDl7Z7TV6j+8XMR3YtbqP7xcxHdi1uo/TwMGSZ/W6j9PAwZJn9bqPxyY3Ciy1uo/HJjcKLLW6j+OXDelvNbqP45cN6W81uo/zLVoAdrW6j/MtWgB2tbqP8y1aAHa1uo/zLVoAdrW6j9D5V/LK9fqP0PlX8sr1+o/y52ZYDjX6j/LnZlgONfqPyZWRiOf1+o/JlZGI5/X6j8aUG9GzdfqPxpQb0bN1+o//dgkP+LX6j/92CQ/4tfqP7jkuFM62Oo/uOS4UzrY6j/mzHaFPtjqP+bMdoU+2Oo/9z3qr1fY6j/3PeqvV9jqP6ZDp+fd2Oo/pkOn593Y6j9z2H3H8NjqP3PYfcfw2Oo/F/Ayw0bZ6j8X8DLDRtnqP3LAriZP2eo/csCuJk/Z6j/S+8bXntnqP9L7xtee2eo/mfViKCfa6j+Z9WIoJ9rqP93R/3It2uo/3dH/ci3a6j9ZbJOKxtrqP1lsk4rG2uo/cGByo8ja6j9wYHKjyNrqP4C5Fi1A2+o/gLkWLUDb6j90sz9QbtvqP3SzP1Bu2+o/5neazHjb6j/md5rMeNvqPyTRyyiW2+o/JNHLKJbb6j/U7lcBvtvqP9TuVwG+2+o//FOqRNnb6j/8U6pE2dvqP6BrX0Av3Oo/oGtfQC/c6j/OUx1yM9zqP85THXIz3Oo/+yMMA5bc6j/7IwwDltzqP+mayTfb3Oo/6ZrJN9vc6j/pmsk329zqP+mayTfb3Oo/0o4bfjfd6j/Sjht+N93qP/RwAtNp3eo/9HAC02nd6j8VU+knnN3qPxVT6Sec3eo/LEfIQJ7d6j8sR8hAnt3qP2qg+Zy73eo/aqD5nLvd6j/svfiiPd7qP+y9+KI93uo/7KUpApze6j/spSkCnN7qPw6IEFfO3uo/DogQV87e6j+nsb0W9N7qP6exvRb03uo/oS5SKAvf6j+hLlIoC9/qP27DKAge3+o/bsMoCB7f6j+gFoOHad/qP6AWg4dp3+o/lRCsqpff6j+VEKyql9/qP8L4adyb3+o/wvhp3Jvf6j+r7Lsi+N/qP6vsuyL43+o/2NR5VPzf6j/Y1HlU/N/qP90/FqJD4Oo/3T8WokPg6j+TyD7IsuDqP5PIPsiy4Oo/k8g+yLLg6j+TyD7IsuDqP+6Yuiu74Oo/7pi6K7vg6j+0qiUd5eDqP7SqJR3l4Oo/GmmpvB3h6j8aaam8HeHqP9Z0PdF14eo/1nQ90XXh6j9jmBO0yeHqP2OYE7TJ4eo/Y5gTtMnh6j9jmBO0yeHqP0yMZfol4uo/TIxl+iXi6j+sx32rdeLqP6zHfat14uo/vTjx1Y7i6j+9OPHVjuLqP7e1heel4uo/t7WF56Xi6j/IJvkRv+LqP8gm+RG/4uo/q6+uCtTi6j+rr64K1OLqP8KjjSPW4uo/wqONI9bi6j9hONcwQ+PqP2E41zBD4+o/422l12bj6j/jbaXXZuPqP/phhPBo4+o/+mGE8Gjj6j+eeTnsvuPqP555Oey+4+o/fH+D9urj6j98f4P26uPqP3B5rBkZ5Oo/cHmsGRnk6j/hJTj1geTqP+ElOPWB5Oo/26LMBpnk6j/boswGmeTqP3tP5bSn5Oo/e0/ltKfk6j+5qBYRxeTqP7moFhHF5Oo/24r9Zffk6j/biv1l9+TqP24xPzc05eo/bjE/NzTl6j8eT8sPXOXqPx5Pyw9c5eo/kBMmjGbl6j+QEyaMZuXqP2d+NQcI5uo/Z341Bwjm6j+8y0V8J+bqP7zLRXwn5uo/zCTqBZ/m6j/MJOoFn+bqP+MYyR6h5uo/4xjJHqHm6j/0iTxJuubqP/SJPEm65uo/ZTbIJCPn6j9lNsgkI+fqP+7uAbov5+o/7u4Bui/n6j8P0egOYufqPw/R6A5i5+o/JsXHJ2Tn6j8mxccnZOfqP7prCfmg5+o/umsJ+aDn6j8rMGR1q+fqPyswZHWr5+o/203wTdPn6j/bTfBN0+fqP7lTOlj/5+o/uVM6WP/n6j+5UzpY/+fqP7lTOlj/5+o/WABTBg7o6j9YAFMGDujqP4BlpUkp6Oo/gGWlSSno6j8IHt/eNejqPwge39416Oo/MIMxIlHo6j8wgzEiUejqP27cYn5u6Oo/btxifm7o6j8p6PaSxujqPyno9pLG6Oo/DXGsi9vo6j8NcayL2+jqP6wdxTnq6Oo/rB3FOero6j8/xAYLJ+nqPz/EBgsn6eo/hKCjVS3p6j+EoKNVLenqP1A1ejVA6eo/UDV6NUDp6j8WF0flJurqPxYXR+Um6uo/cefCSC/q6j9x58JIL+rqP2Xh62td6uo/ZeHra13q6j/tmSUBaurqP+2ZJQFq6uo/JnDrbp7q6j8mcOtunurqP9AKDFnd6uo/0AoMWd3q6j8r24e85erqPyvbh7zl6uo/Qs9m1efq6j9Cz2bV5+rqPzxM++b+6uo/PEz75v7q6j/b4ET0a+vqP9vgRPRr6+o/vmn67IDr6j++afrsgOvqP+BL4UGz6+o/4EvhQbPr6j9/+PnvwevqP3/4+e/B6+o/oMIRpFLs6j+gwhGkUuzqPz9vKlJh7Oo/P28qUmHs6j+fqkIDsezqP5+qQgOx7Oo/n5JzYg/t6j+fknNiD+3qP5+Sc2IP7eo/n5JzYg/t6j8hyEEJM+3qPyHIQQkz7eo/k4ychT3t6j+TjJyFPe3qP6qAe54/7eo/qoB7nj/t6j8cRdYaSu3qPxxF1hpK7eo/cZLmj2nt6j9xkuaPae3qPyyeeqTB7eo/LJ56pMHt6j/4MlGE1O3qP/gyUYTU7eo/PQ/uztrt6j89D+7O2u3qP6PNcW4T7uo/o81xbhPu6j/nqQ65Ge7qP+epDrkZ7uo/TWiSWFLu6j9NaJJYUu7qP5FEL6NY7uo/kUQvo1ju6j8eUDblCu/qPx5QNuUK7+o/ipElcyzv6j+KkSVzLO/qP7d546Qw7+o/t3njpDDv6j/ObcK9Mu/qP85twr0y7+o/8E+pEmXv6j/wT6kSZe/qP1YOLbKd7+o/Vg4tsp3v6j+x3qgVpu/qP7HeqBWm7+o/SghW1cvv6j9KCFbVy+/qP0SF6ubi7+o/RIXq5uLv6j9becn/5O/qP1t5yf/k7+o/bOo8Kv7v6j9s6jwq/u/qPzLk2HqG8Oo/MuTYeobw6j+HMenvpfDqP4cx6e+l8Oo/+fVDbLDw6j/59UNssPDqP6OQZFbv8Oo/o5BkVu/w6j9ZMVwdAPHqP1kxXB0A8eo/WTFcHQDx6j9ZMVwdAPHqP8v1tpkK8eo/y/W2mQrx6j8lrmNccfHqPyWuY1xx8eo/xFp8CoDx6j/EWnwKgPHqP0eQSrGj8eo/R5BKsaPx6j9B9Q8iGfLqP0H1DyIZ8uo/f05Bfjby6j9/TkF+NvLqP1fRH5p58uo/V9Efmnny6j/2fThIiPLqP/Z9OEiI8uo/HeOKi6Py6j8d44qLo/LqP0qzeRwG8+o/SrN5HAbz6j8oucMmMvPqPyi5wyYy8+o/Tx4Wak3z6j9PHhZqTfPqPxYwgVt38+o/FjCBW3fz6j8QrRVtjvPqPxCtFW2O8+o/sFkuG53z6j+wWS4bnfPqPxubHam+8+o/G5sdqb7z6j8KEtvdA/TqPwoS290D9Oo/y6Da4ET06j/LoNrgRPTqP/iImBJJ9Oo/+IiYEkn06j8PfXcrS/TqPw99dytL9Oo/rimQ2Vn06j+uKZDZWfTqP+2CwTV39Oo/7YLBNXf06j8J4jycwPTqPwniPJzA9Oo/Rztu+N306j9HO2743fTqPyrEI/Hy9Oo/KsQj8fL06j8fvkwUIfXqPx++TBQh9eo//MOWHk316j/8w5YeTfXqP9rJ4Ch59eo/2sngKHn16j/xvb9Be/XqP/G9v0F79eo/mkARixj26j+aQBGLGPbqP7afjPFh9uo/tp+M8WH26j8/WMaGbvbqPz9YxoZu9uo/gzRj0XT26j+DNGPRdPbqP8cQABx79uo/xxAAHHv26j+wBFJi1/bqP7AEUmLX9uo/3ewPlNv26j/d7A+U2/bqPzI6IAn79uo/MjogCfv26j+78lmeB/fqP7vyWZ4H9+o/11HVBFH36j/XUdUEUffqP/gzvFmD9+o/+DO8WYP36j9TBDi9i/fqP1MEOL2L9+o/yjMvh9336j/KMy+H3ffqP+EnDqDf9+o/4ScOoN/36j96UbtfBfjqP3pRu18F+Oo/oZ4+An/46j+hnj4Cf/jqP5aYZyWt+Oo/lphnJa346j8YzjXM0PjqPxjONczQ+Oo/QDOID+z46j9AM4gP7PjqP/BQFOgT+eo/8FAU6BP56j80LbEyGvnqPzQtsTIa+eo/pdk8DoP56j+l2TwOg/nqP6TBbW3h+eo/pMFtbeH56j9r09heC/rqP2vT2F4L+uo/fERMiST66j98REyJJPrqP+4IpwUv+uo/7ginBS/66j/uCKcFL/rqP+4IpwUv+uo/6IU7F0b66j/ohTsXRvrqP4cyVMVU+uo/hzJUxVT66j+Yo8fvbfrqP5ijx+9t+uo/SMFTyJX66j9IwVPIlfrqPx8sY0M3++o/HyxjQzf76j/swDkjSvvqP+zAOSNK++o/i21S0Vj76j+LbVLRWPvqP+Y9zjRh++o/5j3ONGH76j8OoyB4fPvqPw6jIHh8++o/rU85Jov76j+tTzkmi/vqP+Ul/5O/++o/5SX/k7/76j/JrrSM1PvqP8mutIzU++o/aFvNOuP76j9oW8064/vqP0ZhF0UP/Oo/RmEXRQ/86j9W0opvKPzqP1bSim8o/Oo/lSu8y0X86j+VK7zLRfzqPwFtq1ln/Oo/AW2rWWf86j+DonkAi/zqP4OieQCL/Oo/g6J5AIv86j+DonkAi/zqP0QxeQPM/Oo/RDF5A8z86j+fAfVm1PzqP58B9WbU/Oo/qu/8ogT96j+q7/yiBP3qP/88DRgk/eo//zwNGCT96j9EGapiKv3qP0QZqmIq/eo/cOmY84z96j9w6ZjzjP3qP2XjwRa7/eo/ZePBFrv96j9IbHcP0P3qP0hsdw/Q/eo/jEgUWtb96j+MSBRa1v3qPyDvVSsT/uo/IO9VKxP+6j+GrdnKS/7qP4at2cpL/uo/H9eGinH+6j8f14aKcf7qP+Blho2y/uo/4GWGjbL+6j96jzNN2P7qP3qPM03Y/uo/0y8Rb53/6j/TLxFvnf/qPyL6tfXT/+o/Ivq19dP/6j9E3JxKBgDrP0TcnEoGAOs/W9B7YwgA6z9b0HtjCADrP3LEWnwKAOs/csRafAoA6z/0+SgjLgDrP/T5KCMuAOs/k6ZB0TwA6z+TpkHRPADrP8GO/wJBAOs/wY7/AkEA6z/Ygt4bQwDrP9iC3htDAOs/n5RJDW0A6z+flEkNbQDrP+jbgqW6AOs/6NuCpboA6z9wlLw6xwDrP3CUvDrHAOs/JjW0AdgA6z8mNbQB2ADrPyCySBPvAOs/ILJIE+8A6z8gskgT7wDrPyCySBPvAOs/knajj/kA6z+SdqOP+QDrPxsv3SQGAes/Gy/dJAYB6z88EcR5OAHrPzwRxHk4Aes/CaaaWUsB6z8JpppZSwHrP5Je1O5XAes/kl7U7lcB6z/WOnE5XgHrP9Y6cTleAes/AyMva2IB6z8DIy9rYgHrP0f/y7VoAes/R//LtWgB6z8UlKKVewHrPxSUopV7Aes/nDQNiuYB6z+cNA2K5gHrPzvhJTj1Aes/O+ElOPUB6z8IdvwXCALrPwh2/BcIAus/Y0Z4exAC6z9jRnh7EALrP20csRafAus/bRyxFp8C6z8Bw/Ln2wLrPwHD8ufbAus/muyfpwED6z+a7J+nAQPrPyKl2TwOA+s/IqXZPA4D6z85mbhVEAPrPzmZuFUQA+s/LZPheD4D6z8tk+F4PgPrP0SHwJFAA+s/RIfAkUAD6z8n+KbpswPrPyf4pumzA+s/6Iam7PQD6z/ohqbs9APrP6kVpu81BOs/qRWm7zUE6z/W/WMhOgTrP9b9YyE6BOs/SMK+nUQE6z9Iwr6dRATrP7qGGRpPBOs/uoYZGk8E6z/430p2bATrP/jfSnZsBOs/JsgIqHAE6z8myAiocATrP7/xtWeWBOs/v/G1Z5YE6z+taHOc2wTrP61oc5zbBOs/ev1JfO4E6z96/Ul87gTrP5HxKJXwBOs/kfEolfAE6z8iOC7jpgbrPyI4LuOmBus/0lW6u84G6z/SVbq7zgbrPyejyjDuBus/J6PKMO4G6z+Cc0aU9gbrP4JzRpT2Bus/18BWCRYH6z/XwFYJFgfrP9aoh2h0B+s/1qiHaHQH6z8xeQPMfAfrPzF5A8x8B+s/rROX4xUI6z+tE5fjFQjrP8QHdvwXCOs/xAd2/BcI6z+zfjMxXQjrP7N+MzFdCOs/UitM32sI6z9SK0zfawjrPwjMQ6Z8COs/CMxDpnwI6z+mYI2z6QjrP6ZgjbPpCOs/pmCNs+kI6z+mYI2z6QjrPzoHz4QmCes/OgfPhCYJ6z+ryykBMQnrP6vLKQExCes/+5XOh2cJ6z/7lc6HZwnrPxFy3v/HCes/EXLe/8cJ6z8nZr0YygnrPydmvRjKCes/T8sPXOUJ6z9Pyw9c5QnrP0/LD1zlCes/T8sPXOUJ6z8FbAcj9gnrPwVsByP2Ces/npW04hsK6z+elbTiGwrrP/llMEYkCus/+WUwRiQK6z8+Qs2QKgrrPz5CzZAqCus/wHebN04K6z/Ad5s3TgrrP0Otad5xCus/Q61p3nEK6z+0ccRafArrP7RxxFp8Cus/qWvtfaoK6z+pa+19qgrrP6PogY/BCus/o+iBj8EK6z/hQbPr3grrP+FBs+veCus/rtaJy/EK6z+u1onL8QrrP7iswmaAC+s/uKzCZoAL6z+4rMJmgAvrP7iswmaAC+s/HmtGBrkL6z8ea0YGuQvrP24164zvC+s/bjXrjO8L6z/27SQi/AvrP/btJCL8C+s/Yi8UsB0M6z9iLxSwHQzrP9TzbiwoDOs/1PNuLCgM6z+giEUMOwzrP6CIRQw7DOs/eAskKH4M6z94CyQofgzrP5rtCn2wDOs/mu0KfbAM6z/H1ciutAzrP8fVyK60DOs/7zob8s8M6z/vOhvyzwzrP092M6MfDes/T3Yzox8N6z+TUtDtJQ3rP5NS0O0lDes/qkavBigN6z+qRq8GKA3rP1pkO99PDes/WmQ7308N6z9r1a4JaQ3rP2vVrglpDes/FXDP86cN6z8VcM/zpw3rPytM32sIDus/K0zfawgO6z+Lh/ccWA7rP4uH9xxYDus/uW+1TlwO6z+5b7VOXA7rP8rgKHl1Dus/yuAoeXUO6z9jCtY4mw7rP2MK1jibDus/5j+k374O6z/mP6Tfvg7rP11vm6kQD+s/XW+bqRAP6z8e/pqsUQ/rPx7+mqxRD+s/qyFxj6UP6z+rIXGPpQ/rP9kJL8GpD+s/2QkvwakP6z/ZCS/BqQ/rP9kJL8GpD+s/Llc/NskP6z8uVz82yQ/rPyjU00fgD+s/KNTTR+AP6z9EM0+uKRDrP0QzT64pEOs/qvHSTWIQ6z+q8dJNYhDrP416iEZ3EOs/jXqIRncQ6z+139qJkhDrP7Xf2omSEOs/0T5W8NsQ6z/RPlbw2xDrP1n3j4XoEOs/WfePhegQ6z9Z94+F6BDrP1n3j4XoEOs/y7vqAfMQ6z/Lu+oB8xDrP7+1EyUhEes/v7UTJSER6z+jPskdNhHrP6M+yR02Ees/Wd/A5EYR6z9Z38DkRhHrP+GX+nlTEes/4Zf6eVMR6z+uLNFZZhHrP64s0VlmEes/aThlbr4R6z9pOGVuvhHrPx/ZXDXPEes/H9lcNc8R6z+iDivc8hHrP6IOK9zyEes/fxR15h4S6z9/FHXmHhLrPxg+IqZEEus/GD4ipkQS6z9zDp4JTRLrP3MOnglNEus/cw6eCU0S6z9zDp4JTRLrP26LMhtkEus/bosyG2QS6z/2Q2ywcBLrP/ZDbLBwEus/aAjHLHsS6z9oCMcsexLrP378pUV9Eus/fvylRX0S6z9FDhE3pxLrP0UOETenEus/XALwT6kS6z9cAvBPqRLrP3P2zmirEus/c/bOaKsS6z8pl8YvvBLrPymXxi+8Eus/sU8AxcgS6z+xTwDFyBLrP983vvbMEus/3ze+9swS6z86CDpa1RLrPzoIOlrVEus/wsBz7+ES6z/CwHPv4RLrP7w9CAH5Eus/vD0IAfkS6z/ueJPfohPrP+54k9+iE+s/BW1y+KQT6z8FbXL4pBPrP2A97lutE+s/YD3uW60T6z9lqIqp9BPrP2Woiqn0E+s/qYQn9PoT6z+phCf0+hPrPyy69ZoeFOs/LLr1mh4U6z/iWu1hLxTrP+Ja7WEvFOs/xeOiWkQU6z/F46JaRBTrPxSuR+F6FOs/FK5H4XoU6z8lH7sLlBTrPyUfuwuUFOs/delfksoU6z916V+SyhTrPzD186YiFes/MPXzpiIV6z8qcoi4ORXrPypyiLg5Fes/QWZn0TsV6z9BZmfROxXrPyPXTSmvFes/I9dNKa8V6z+9APvo1BXrP70A++jUFes/6ui4GtkV6z/q6Lga2RXrP8juAiUFFus/yO4CJQUW6z85s12hDxbrPzmzXaEPFus/NDDysiYW6z80MPKyJhbrP2EYsOQqFus/YRiw5CoW6z9VEtkHWRbrP1US2QdZFus/C7PQzmkW6z8Ls9DOaRbrPyKnr+drFus/Iqev52sW6z8zGCMShRbrPzMYIxKFFus/wTv59NgW6z/BO/n02BbrP+4jtybdFus/7iO3Jt0W6z/MKQExCRfrP8wpATEJF+s/zCkBMQkX6z/MKQExCRfrP4LK+PcZF+s/gsr49xkX6z8y6ITQQRfrPzLohNBBF+s//mSMD7MX6z/+ZIwPsxfrP8r5Yu/FF+s/yvli78UX6z/batYZ3xfrP9tq1hnfF+s/CVOUS+MX6z8JU5RL4xfrP3oX78ftF+s/ehfvx+0X6z/s20lE+BfrP+zbSUT4F+s/0GT/PA0Y6z/QZP88DRjrP4twk1FlGOs/i3CTUWUY6z/PTDCcaxjrP89MMJxrGOs/VwVqMXgY6z9XBWoxeBjrPwcj9gmgGOs/ByP2CaAY6z/Ut8zpshjrP9S3zOmyGOs/RnwnZr0Y6z9GfCdmvRjrPw2OklfnGOs/DY6SV+cY6z9Rai+i7RjrP1FqL6LtGOs/EvkupS4Z6z8S+S6lLhnrP4S9iSE5Ges/hL2JITkZ6z9nRj8aThnrP2dGPxpOGes/+uyA64oZ6z/67IDrihnrP7CNeLKbGes/sI14spsZ6z+UFi6rsBnrP5QWLquwGes/PrFOle8Z6z8+sU6V7xnrPz6xTpXvGes/PrFOle8Z6z+wdakR+hnrP7B1qRH6Ges//z9OmDAa6z//P06YMBrrP1oQyvs4Gus/WhDK+zga6z9xBKkUOxrrP3EEqRQ7Gus/4sgDkUUa6z/iyAORRRrrPzcWFAZlGus/NxYUBmUa6z9OCvMeZxrrP04K8x5nGus/jWMke4Qa6z+NYyR7hBrrP/ikEwmmGus/+KQTCaYa6z8gCmZMwRrrPyAKZkzBGus/7Z48LNQa6z/tnjws1BrrP4xLVdriGus/jEtV2uIa6z/+D7BW7RrrP/4PsFbtGus/JXUCmggb6z8ldQKaCBvrP/IJ2XkbG+s/8gnZeRsb6z+RtvEnKhvrP5G28ScqG+s/Gm8rvTYb6z8abyu9NhvrP6InZVJDG+s/oidlUkMb6z9YyFwZVBvrP1jIXBlUG+s/H9rHCn4b6z8f2scKfhvrP5CeIoeIG+s/kJ4ih4gb6z++huC4jBvrP76G4LiMG+s//N8RFaob6z/83xEVqhvrPw1RhT/DG+s/DVGFP8Mb6z/TSiGQSxzrP9NKIZBLHOs/LgPOUrIc6z8uA85SshzrP+SjxRnDHOs/5KPFGcMc6z/pDmJnCh3rP+kOYmcKHes/44v2eCEd6z/ji/Z4IR3rP+OL9nghHes/44v2eCEd6z/GFKxxNh3rP8YUrHE2Hes/wZFAg00d6z/BkUCDTR3rP+55/rRRHes/7nn+tFEd6z/Mf0i/fR3rP8x/SL99Hes/rwj+t5Id6z+vCP63kh3rP9zwu+mWHes/3PC76ZYd6z/c2OxI9R3rP9zY7Ej1Hes/Az4/jBAe6z8DPj+MEB7rP0ga3NYWHus/SBrc1hYe6z/+utOdJx7rP/66050nHus/qFX0h2Ye6z+oVfSHZh7rP6LSiJl9Hus/otKImX0e6z9p5POKpx7rP2nk84qnHus/5pZWQ+Ie6z/mllZD4h7rP9QNFHgnH+s/1A0UeCcf6z/f+xu0Vx/rP9/7G7RXH+s/LsbAOo4f6z8uxsA6jh/rP6CKG7eYH+s/oIobt5gf6z9yio7k8h/rP3KKjuTyH+s/zEI7p1kg6z/MQjunWSDrP/oq+dhdIOs/+ir52F0g6z/ds67RciDrP92zrtFyIOs/C5xsA3cg6z8LnGwDdyDrP5NUppiDIOs/k1SmmIMg6z8bDeAtkCDrPxsN4C2QIOs/SfWdX5Qg6z9J9Z1flCDrP8AklSnmIOs/wCSVKeYg6z8b9RCN7iDrPxv1EI3uIOs/MunvpfAg6z8y6e+l8CDrP3BCIQIOIes/cEIhAg4h6z/iBnx+GCHrP+IGfH4YIes/MdEgBU8h6z8x0SAFTyHrP5ePpKSHIes/l4+kpIch6z/Ed2LWiyHrP8R3YtaLIes/R60wfa8h6z9HrTB9ryHrP/ay7bQ1Ius/9rLttDUi6z8km6vmOSLrPySbq+Y5Ius/UYNpGD4i6z9Rg2kYPiLrPzUMHxFTIus/NQwfEVMi6z/ONczQeCLrP841zNB4Ius/5Smr6Xoi6z/lKavpeiLrP0D6Jk2DIus/QPomTYMi6z+yvoHJjSLrP7K+gcmNIus/LnHkgcgi6z8uceSByCLrP+QR3EjZIus/5BHcSNki6z/kEdxI2SLrP+QR3EjZIus/g7709uci6z+DvvT25yLrP96OcFrwIus/3o5wWvAi6z/1gk9z8iLrP/WCT3PyIus/cjWyKy0j6z9yNbIrLSPrPyJTPgRVI+s/IlM+BFUj6z/B/1ayYyPrP8H/VrJjI+s/4+E9B5Yj6z/j4T0HliPrPz6yuWqeI+s/PrK5ap4j6z/oTNpU3SPrP+hM2lTdI+s/VI7J4v4j6z9Ujsni/iPrP3DtRElIJOs/cO1ESUgk6z9TdvpBXSTrP1N2+kFdJOs/hslUwagk6z+GyVTBqCTrP2lSCrq9JOs/aVIKur0k6z8J/yJozCTrPwn/ImjMJOs/vp8aL90k6z++nxov3STrP5CfjVw3Jes/kJ+NXDcl6z+4BOCfUiXrP7gE4J9SJes/uATgn1Il6z+4BOCfUiXrP26l12ZjJes/bqXXZmMl6z+ygXSxaSXrP7KBdLFpJes/w/Ln24Il6z/D8ufbgiXrP2KfAIqRJes/Yp8AipEl6z+KBFPNrCXrP4oEU82sJes/yF2EKcol6z/IXYQpyiXrP37+e/DaJes/fv578Nol6z8uHAjJAibrPy4cCMkCJus/g2kYPiIm6z+DaRg+IibrP1vs9lllJus/W+z2WWUm6z+fyJOkaybrP5/Ik6RrJus/+pgPCHQm6z/6mA8IdCbrP44/UdmwJus/jj9R2bAm6z8QdR+A1CbrPxB1H4DUJus/J2n+mNYm6z8naf6Y1ibrP2XCL/XzJus/ZcIv9fMm6z92M6MfDSfrP3Yzox8NJ+s/EF1Q3zIn6z8QXVDfMifrPxBdUN8yJ+s/EF1Q3zIn6z83wqIiTifrPzfCoiJOJ+s/owOSsG8n6z+jA5KwbyfrP7r3cMlxJ+s/uvdwyXEn6z/tSstIvSfrP+1Ky0i9J+s/0NOAQdIn6z/Q04BB0ifrP8k4RrJHKOs/yThGskco6z9/2T15WCjrP3/ZPXlYKOs/E4B/SpUo6z8TgH9KlSjrP5s4ud+hKOs/mzi536Eo6z+yLJj4oyjrP7IsmPijKOs/siyY+KMo6z+yLJj4oyjrP5W1TfG4KOs/lbVN8bgo6z9zu5f75CjrP3O7l/vkKOs/c7uX++Qo6z9zu5f75CjrP3O7l/vkKOs/c7uX++Qo6z+xFMlXAinrP7EUyVcCKes/9vBloggp6z/28GWiCCnrP1HB4QURKes/UcHhBREp6z/7WwLwTynrP/tbAvBPKes/3uS36GQp6z/e5LfoZCnrPwZKCiyAKes/BkoKLIAp6z8zMshdhCnrPzMyyF2EKes/vOoB85Ap6z+86gHzkCnrP1uXGqGfKes/W5caoZ8p6z9mhSLdzynrP2aFIt3PKes/pN5TOe0p6z+k3lM57SnrPy2Xjc75Kes/LZeNzvkp6z8tl43O+SnrPy2Xjc75Kes/RIts5/sp6z9Ei2zn+ynrP1T83xEVKus/VPzfERUq6z+Z2HxcGyrrP5nYfFwbKus/dt7GZkcq6z923sZmRyrrPzdV98jmKus/N1X3yOYq6z97MZQT7SrrP3sxlBPtKus/WDfeHRkr6z9YN94dGSvrPw7Y1eQpK+s/DtjV5Ckr6z+XkA96NivrP5eQD3o2K+s/A9L+B1gr6z8D0v4HWCvrP5z7q8d9K+s/nPurx30r6z9/hGHAkivrP3+EYcCSK+s/CD2bVZ8r6z8IPZtVnyvrPx8xem6hK+s/HzF6bqEr6z9MGTigpSvrP0wZOKClK+s/p+mzA64r6z+n6bMDrivrP277HvXXK+s/bvse9dcr6z/rrYGtEizrP+utga0SLOs/+x711yss6z/7HvXXKyzrP0D7kSIyLOs/QPuRIjIs6z9nYORlTSzrP2dg5GVNLOs/S+mZXmIs6z9L6ZleYizrP2HFqdbCLOs/YcWp1sIs6z/NBplk5CzrP80GmWTkLOs/Psvz4O4s6z8+y/Pg7izrP1W/0vnwLOs/Vb/S+fAs6z9ss7ES8yzrP2yzsRLzLOs/9Gvrp/8s6z/0a+un/yzrP088ZwsILes/TzxnCwgt6z9grdo1IS3rP2Ct2jUhLes//1nz4y8t6z//WfPjLy3rP+PiqNxELes/4+Ko3EQt6z+Cj8GKUy3rP4KPwYpTLes/cO6vHvct6z9w7q8e9y3rP8u+K4L/Les/y74rgv8t6z8gDDz3Hi7rPyAMPPceLus/nb6er1ku6z+dvp6vWS7rP/eOGhNiLus/944aE2Iu6z/EI/HydC7rP8Qj8fJ0Lus/kbjH0ocu6z+RuMfShy7rP5Cg+DHmLus/kKD4MeYu6z8qyqXxCy/rPyrKpfELL+s/soLfhhgv6z+ygt+GGC/rPzW4rS08L+s/NbitLTwv6z8YQWMmUS/rPxhBYyZRL+s/LzVCP1Mv6z8vNUI/Uy/rP0CmtWlsL+s/QKa1aWwv6z9LlL2lnC/rP0uUvaWcL+s/6kDWU6sv6z/qQNZTqy/rPx2UMNP2L+s/HZQw0/Yv6z/6mXrdIjDrP/qZet0iMOs/VWr2QCsw6z9VavZAKzDrP45AvK5fMOs/jkC8rl8w6z8W+fVDbDDrPxb59UNsMOs/iL1QwHYw6z+IvVDAdjDrP/mBqzyBMOs/+YGrPIEw6z/GFoIclDDrP8YWghyUMOs/mBb1Se4w6z+YFvVJ7jDrPwRY5NcPMes/BFjk1w8x6z/4UQ37PTHrP/hRDfs9Mes/jPhOzHox6z+M+E7MejHrPx+fkJ23Mes/H5+Qnbcx6z+RY+sZwjHrP5Fj6xnCMes/qFfKMsQx6z+oV8oyxDHrP75LqUvGMes/vkupS8Yx6z8kCi3r/jHrPyQKLev+Mes/NXugFRgy6z81e6AVGDLrPxkEVg4tMus/GQRWDi0y6z9AaahRSDLrP0BpqFFIMus/blFmg0wy6z9uUWaDTDLrP1HaG3xhMus/UdobfGEy6z/whjQqcDLrP/CGNCpwMus/GOyGbYsy6z8Y7IZtizLrP3O8AtGTMus/c7wC0ZMy6z+gpMACmDLrP6CkwAKYMus/KV36l6Qy6z8pXfqXpDLrP+rr+ZrlMus/6uv5muUy6z+x/WSMDzPrP7H9ZIwPM+s/71aW6Cwz6z/vVpboLDPrP2Eb8WQ3M+s/YRvxZDcz6z8tsMdESjPrPy2wx0RKM+s/n3QiwVQz6z+fdCLBVDPrPxE5fT1fM+s/ETl9PV8z6z/YSuguiTPrP9hK6C6JM+s/Q4zXvKoz6z9DjNe8qjPrP4hodAexM+s/iGh0B7Ez6z9r8SkAxjPrP2vxKQDGM+s/Tnrf+Noz6z9Oet/42jPrP7q7zob8M+s/urvOhvwz6z/FqdbCLDTrP8Wp1sIsNOs/N24xPzc06z83bjE/NzTrP8Ama9RDNOs/wCZr1EM06z/tDikGSDTrP+0OKQZINOs/K1CLwcM06z8rUIvBwzTrP+HwgojUNOs/4fCCiNQ06z++9sySADXrP772zJIANes/XaPlQA816z9do+VADzXrP89nQL0ZNes/z2dAvRk16z/9T/7uHTXrP/1P/u4dNes/DcFxGTc16z8NwXEZNzXrP85PcRx4Nes/zk9xHHg16z+E8GjjiDXrP4TwaOOINes/DamieJU16z8NqaJ4lTXrP+qu7ILBNes/6q7sgsE16z/ON6J71jXrP843onvWNes/oDcVqTA26z+gNxWpMDbrP7Yr9MEyNus/tiv0wTI26z+2K/TBMjbrP7Yr9MEyNus/mrSpukc26z+atKm6RzbrP96QRgVONus/3pBGBU426z/1hCUeUDbrP/WEJR5QNus/ZjGx+bg26z9mMbH5uDbrP3EfuTXpNus/cR+5Nek26z9rnE1HADfrP2ucTUcAN+s/gpAsYAI36z+CkCxgAjfrP6n1fqMdN+s/qfV+ox036z/L12X4TzfrP8vXZfhPN+s/QgddwqE36z9CB13CoTfrP4bj+QyoN+s/huP5DKg36z8PnDOitDfrPw+cM6K0N+s/JZASu7Y36z8lkBK7tjfrP5dUbTfBN+s/l1RtN8E36z8gDafMzTfrPyANp8zNN+s/XmbYKOs36z9eZtgo6zfrP7k2VIzzN+s/uTZUjPM36z9Y42w6AjjrP1jjbDoCOOs/rTB9ryE46z+tMH2vITjrP9sYO+ElOOs/2xg74SU46z+nrRHBODjrP6etEcE4OOs/vqHw2To46z++ofDZOjjrP88SZARUOOs/zxJkBFQ46z8I6SlyiDjrPwjpKXKIOOs/KcsQx7o46z8pyxDHujjrP99rCI7LOOs/32sIjss46z8MPPceLjnrPww89x4uOes/8MSsF0M56z/wxKwXQznrP2GJB5RNOes/YYkHlE056z94feasTznrP3h95qxPOes/6kFBKVo56z/qQUEpWjnrP8dHizOGOes/x0eLM4Y56z8tBg/TvjnrPy0GD9O+Oes/zLIngc056z/MsieBzTnrP8cvvJLkOes/xy+8kuQ56z9m3NRA8znrP2bc1EDzOes/6BGj5xY66z/oEaPnFjrrPyHoaFVLOus/IehoVUs66z+poKLqVzrrP6mgoupXOus/G2X9ZmI66z8bZf1mYjrrPzJZ3H9kOus/Mlncf2Q66z9JTbuYZjrrP0lNu5hmOus/6PnTRnU66z/o+dNGdTrrPzfEeM2rOus/N8R4zas66z/yzwziAzvrP/LPDOIDO+s/qHAEqRQ76z+ocASpFDvrP14R/G8lO+s/XhH8byU76z/KUuv9RjvrP8pS6/1GO+s/lufB3Vk76z+W58HdWTvrP2N8mL1sO+s/Y3yYvWw76z/PvYdLjjvrP8+9h0uOO+s/Ko4Dr5Y76z8qjgOvljvrP5xSXiuhO+s/nFJeK6E76z+cUl4roTvrP5xSXiuhO+s/kEyHTs876z+QTIdOzzvrP25S0Vj7O+s/blLRWPs76z+bOo+K/zvrP5s6j4r/O+s/I/PIHww86z8j88gfDDzrP37DRIMUPOs/fsNEgxQ86z+sqwK1GDzrP6yrArUYPOs/w5/hzRo86z/Dn+HNGjzrPx5wXTEjPOs/HnBdMSM86z/kgcgiTTzrP+SByCJNPOs/+3WnO0886z/7dac7TzzrPyleZW1TPOs/KV5lbVM86z+xFp8CYDzrP7EWnwJgPOs/UMO3sG486z9Qw7ewbjzrP1UuVP61POs/VS5U/rU86z8tsTIa+TzrPy2xMhr5POs/W5nwS/086z9bmfBL/TzrP2wKZHYWPes/bApkdhY96z+eXb71YT3rP55dvvVhPes/86rOaoE96z/zqs5qgT3rPziHa7WHPes/OIdrtYc96z8VjbW/sz3rPxWNtb+zPes/tDnObcI96z+0Oc5twj3rP+IhjJ/GPes/4iGMn8Y96z/iIYyfxj3rP+IhjJ/GPes/Ql2kUBY+6z9CXaRQFj7rP9uGURA8Pus/24ZREDw+6z9vLZPheD7rP28tk+F4Pus/O8JpwYs+6z87wmnBiz7rPzY//tKiPus/Nj/+0qI+6z96G5sdqT7rP3obmx2pPus/Gcizy7c+6z8ZyLPLtz7rP6fria4LP+s/p+uJrgs/6z+932jHDT/rP73faMcNP+s/68cm+RE/6z/rxyb5ET/rP0aYolwaP+s/RpiiXBo/6z9LAz+qYT/rP0sDP6phP+s/eev822U/6z956/zbZT/rP844DVGFP+s/zjgNUYU/6z+azeMwmD/rP5rN4zCYP+s/SutvCcA/6z9K628JwD/rP2ZK628JQOs/ZkrrbwlA6z/BGmfTEUDrP8EaZ9MRQOs/d7temiJA6z93u16aIkDrP9KL2v0qQOs/0ova/SpA6z84Sl6dY0DrPzhKXp1jQOs/Qzhm2ZNA6z9DOGbZk0DrP1osRfKVQOs/WixF8pVA6z/GbTSAt0DrP8ZtNIC3QOs/IT6w479A6z8hPrDjv0DrP8DqyJHOQOs/wOrIkc5A6z8bu0T11kDrPxu7RPXWQOs/+cCO/wJB6z/5wI7/AkHrPz2dK0oJQes/PZ0rSglB6z89nStKCUHrPz2dK0oJQes/kuo7vyhB6z+S6ju/KEHrP2/whclUQes/b/CFyVRB6z9v8IXJVEHrP2/whclUQes/ysABLV1B6z/KwAEtXUHrP2TqruyCQes/ZOqu7IJB6z87bY0IxkHrPzttjQjGQes/NuohGt1B6z826iEa3UHrP3rGvmTjQes/esa+ZONB6z/sihnh7UHrP+yKGeHtQes/An/4+e9B6z8Cf/j570HrP+YHrvIEQus/5geu8gRC6z8kYd9OIkLrPyRh304iQus/O1W+ZyRC6z87Vb5nJELrP+tySkBMQus/63JKQExC6z8CZylZTkLrPwJnKVlOQus/vXK9baZC6z+9cr1tpkLrP1AZ/z7jQus/UBn/PuNC6z8uH0lJD0PrPy4fSUkPQ+s/RRMoYhFD6z9FEyhiEUPrP7bXgt4bQ+s/tteC3htD6z/HSPYINUPrP8dI9gg1Q+s/3jzVITdD6z/ePNUhN0PrP0p+xK9YQ+s/Sn7Er1hD6z+lTkATYUPrP6VOQBNhQ+s/wa27eapD6z/Brbt5qkPrP7sqUIvBQ+s/uypQi8FD6z9a12g50EPrP1rXaDnQQ+s/a0jcY+lD6z9rSNxj6UPrP8YYWMfxQ+s/xhhYx/FD6z9lxXB1AETrP2XFcHUAROs/ajANw0dE6z9qMA3DR0TrPzFCeLRxROs/MUJ4tHFE6z9INlfNc0TrP0g2V81zROs/jBL0F3pE6z+MEvQXekTrP7n6sUl+ROs/ufqxSX5E6z9qGD4ipkTrP2oYPiKmROs/ou4DkNpE6z+i7gOQ2kTrP/2+f/PiROs//b5/8+JE6z/bxMn9DkXrP9vEyf0ORes/Rga5izBF6z9GBrmLMEXrP6HWNO84Res/odY07zhF6z+4yhMIO0XrP7jKEwg7Res/UfTAx2BF6z9R9MDHYEXrPwISTaCIRes/AhJNoIhF6z8YBiy5ikXrPxgGLLmKRes/Ru7p6o5F6z9G7unqjkXrP/YLdsO2Res/9gt2w7ZF6z8dccgG0kXrPx1xyAbSRes/eEFEatpF6z94QURq2kXrP+oFn+bkRes/6gWf5uRF6z+JsreU80XrP4myt5TzRes/Z7gBnx9G6z9nuAGfH0brP8KIfQIoRus/woh9AihG6z+lETP7PEbrP6URM/s8Rus/5GpkV1pG6z/kamRXWkbrPz874LpiRus/PzvgumJG6z/e5/hocUbrP97n+GhxRus/ZqAy/n1G6z9moDL+fUbrP3cRpiiXRus/dxGmKJdG6z92+daH9UbrP3b51of1Rus/3LdaJy5H6z/ct1onLkfrPzeI1oo2R+s/N4jWijZH6z/opWJjXkfrP+ilYmNeR+s/Jv+Tv3tH6z8m/5O/e0frP3XJOEayR+s/dck4RrJH6z/+gXLbvkfrP/6Bctu+R+s/8nub/uxH6z/ye5v+7EfrP5EotKz7R+s/kSi0rPtH6z+/EHLe/0frP78Qct7/R+s/hSLdzylI6z+FIt3PKUjrP3ocBvNXSOs/ehwG81dI6z+QEOULWkjrP5AQ5QtaSOs/6+Bgb2JI6z/r4GBvYkjrP4UKDi+ISOs/hQoOL4hI6z/2tpkK8UjrP/a2mQrxSOs/Dat4I/NI6z8Nq3gj80jrP3jUmBBzSes/eNSYEHNJ6z941JgQc0nrP3jUmBBzSes/clEtIopJ6z9yUS0iiknrPzPgLCXLSes/M+AsJctJ6z8z4Cwly0nrPzPgLCXLSes/d7zJb9FJ6z93vMlv0UnrPwtjC0EOSus/C2MLQQ5K6z9mM4ekFkrrP2Yzh6QWSus/fA+XHHdK6z98D5ccd0rrP5IDdjV5Sus/kgN2NXlK6z8bvK/KhUrrPxu8r8qFSus/y9k7o61K6z/L2TujrUrrP/jB+dSxSus/+MH51LFK6z83Gysxz0rrPzcbKzHPSus/MZi/QuZK6z8xmL9C5krrP8rBbAIMS+s/ysFsAgxL6z9pboWwGkvrP2luhbAaS+s/Hw99dytL6z8fD313K0vrP3rf+NozS+s/et/42jNL6z+R09fzNUvrP5HT1/M1S+s/kdPX8zVL6z+R09fzNUvrP7+7lSU6S+s/v7uVJTpL6z9B8WPMXUvrP0HxY8xdS+s/4J18emxL6z/gnXx6bEvrP4BKlSh7S+s/gEqVKHtL6z+tMlNaf0vrP60yU1p/S+s/xCYyc4FL6z/EJjJzgUvrPx/3rdaJS+s/H/et1olL6z8NbmsLz0vrPw1uawvPS+s/8fYgBORL6z/x9iAE5EvrP6aXGMv0S+s/ppcYy/RL6z9GRDF5A0zrP0ZEMXkDTOs/yHn/HydM6z/Ief8fJ0zrP8h5/x8nTOs/yHn/HydM6z/2Yb1RK0zrP/ZhvVErTOs/eJeL+E5M6z94l4v4TkzrPwFQxY1bTOs/AVDFjVtM6z/1Se6wiUzrP/VJ7rCJTOs/78aCwqBM6z/vxoLCoEzrPwa7YduiTOs/Brth26JM6z94f7xXrUzrP3h/vFetTOs/mWGjrN9M6z+ZYaOs30zrPxyXcVMDTes/HJdxUwNN6z+1wB4TKU3rP7XAHhMpTes/46jcRC1N6z/jqNxELU3rP4JV9fI7Tes/glX18jtN6z+ZSdQLPk3rP5lJ1As+Tes/nrRwWYVN6z+etHBZhU3rP2tJRzmYTes/a0lHOZhN6z8V5Gcj103rPxXkZyPXTes/mBk2yvpN6z+YGTbK+k3rP7N4sTBETus/s3ixMERO6z9TJcreUk7rP1Mlyt5STus/XhPSGoNO6z9eE9Iag07rP8pUwaikTus/ylTBqKRO6z8fotEdxE7rPx+i0R3ETus/1ULJ5NRO6z/VQsnk1E7rP+s2qP3WTus/6zao/dZO6z/8pxso8E7rP/ynGyjwTus/E5z6QPJO6z8TnPpA8k7rPyqQ2Vn0Tus/KpDZWfRO6z9R9SudD0/rP1H1K50PT+s/NX7hlSRP6z81fuGVJE/rP2Jmn8coT+s/YmafxyhP6z+3s688SE/rP7ezrzxIT+s/sTBETl9P6z+xMEROX0/rP/YM4ZhlT+s/9gzhmGVP6z9R3Vz8bU/rP1HdXPxtT+s/Yk7QJodP6z9iTtAmh0/rPxfvx+2XT+s/F+/H7ZdP6z8oYDsYsU/rPyhgOxixT+s/q5UJv9RP6z+rlQm/1E/rP2ahndMsUOs/ZqGd0yxQ6z/S4oxhTlDrP9LijGFOUOs/JzCd1m1Q6z8nMJ3WbVDrP5n091J4UOs/mfT3UnhQ6z8KuVLPglDrPwq5Us+CUOs/Ia0x6IRQ6z8hrTHohFDrP2WJzjKLUOs/ZYnOMotQ6z9gBmNEolDrP2AGY0SiUOs/tVNzucFQ6z+1U3O5wVDrPwqhgy7hUOs/CqGDLuFQ6z+pTZzc71DrP6lNnNzvUOs/1jVaDvRQ6z/WNVoO9FDrPwQeGED4UOs/BB4YQPhQ6z9I+rSK/lDrP0j6tIr+UOs/56bNOA1R6z/nps04DVHrP4dT5uYbUes/h1Pm5htR6z+/KaxUUFHrP78prFRQUes/1h2LbVJR6z/WHYttUlHrP+0RaoZUUes/7RFqhlRR6z8a+ie4WFHrPxr6J7hYUes/K2ub4nFR6z8ra5vicVHrP+ELk6mCUes/4QuTqYJR6z/biCe7mVHrP9uIJ7uZUes/FF/tKM5R6z8UX+0ozlHrPwhZFkz8Ues/CFkWTPxR6z+nBS/6ClLrP6cFL/oKUus/6+HLRBFS6z/r4ctEEVLrP/xSP28qUus//FI/bypS6z9XI7vSMlLrP1cju9IyUus/f4gNFk5S6z9/iA0WTlLrPzUpBd1eUus/NSkF3V5S6z+Q+YBAZ1LrP5D5gEBnUus/sdtnlZlS6z+x22eVmVLrPyOgwhGkUus/I6DCEaRS6z9yameY2lLrP3JqZ5jaUus/P/89eO1S6z8//z147VLrPz//PXjtUus/P/89eO1S6z/vHMpQFVPrP+8cylAVU+s/fUCgM2lT6z99QKAzaVPrPzPhl/p5U+s/M+GX+nlT6z9aRuo9lVPrP1pG6j2VU+s/a7ddaK5T6z9rt11orlPrP5McsKvJU+s/kxywq8lT6z/RdeEH51PrP9F14QfnU+s/hxbZzvdT6z+HFtnO91PrP54KuOf5U+s/ngq45/lT6z9lHCPZI1TrP2UcI9kjVOs/X5m36jpU6z9fmbfqOlTrP3aNlgM9VOs/do2WAz1U6z/4wmSqYFTrP/jCZKpgVOs/+MJkqmBU6z/4wmSqYFTrP/I/+bt3VOs/8j/5u3dU6z9egehJmVTrP16B6EmZVOs/Tfilft5U6z9N+KV+3lTrP5HUQsnkVOs/kdRCyeRU6z+LUdfa+1TrP4tR19r7VOs/5iFTPgRV6z/mIVM+BFXrP39LAP4pVes/f0sA/ilV6z96yJQPQVXrP3rIlA9BVes/zxWlhGBV6z/PFaWEYFXrPxPyQc9mVes/E/JBz2ZV6z+VD0HV6FXrP5UPQdXoVes/rAMg7upV6z+sAyDu6lXrP4kJavgWVus/iQlq+BZW6z9KmGn7V1brP0qYaftXVus/pWjlXmBW6z+laOVeYFbrP7xcxHdiVus/vFzEd2JW6z8AOWHCaFbrPwA5YcJoVus/RBX+DG9W6z9EFf4Mb1brP7tE9dbAVus/u0T11sBW6z+fzarP1VbrP5/Nqs/VVus/mUo/4exW6z+ZSj/h7FbrP8Yy/RLxVus/xjL9EvFW6z8KD5pd91brPwoPml33Vus/6BTkZyNX6z/oFORnI1frPyzxgLIpV+s/LPGAsilX6z8g66nVV1frPyDrqdVXV+s/wJfCg2ZX6z/Al8KDZlfrP0LNkCqKV+s/Qs2QKopX6z9wtU5cjlfrP3C1TlyOV+s/Uz4EVaNX6z9TPgRVo1frP4EmwoanV+s/gSbChqdX6z/c9j3qr1frP9z2PeqvV+s/8uocA7JX6z/y6hwDslfrP3ujVpi+V+s/e6NWmL5X6z+SlzWxwFfrP5KXNbHAV+s/MUROX89X6z8xRE5fz1frP7n8h/TbV+s/ufyH9NtX6z/y0k1iEFjrP/LSTWIQWOs/dAgcCTRY6z90CBwJNFjrP1iR0QFJWOs/WJHRAUlY6z/UQzS6g1jrP9RDNLqDWOs/6zcT04VY6z/rNxPThVjrP4rkK4GUWOs/iuQrgZRY6z8qkUQvo1jrPyqRRC+jWOs/9iUbD7ZY6z/2JRsPtljrP6zGEtbGWOs/rMYS1sZY6z+gwDv59FjrP6DAO/n0WOs/KXl1jgFZ6z8peXWOAVnrP1ZhM8AFWes/VmEzwAVZ6z866ui4GlnrPzrq6LgaWes/EW3H1F1Z6z8RbcfUXVnrPznSGRh5Wes/OdIZGHlZ6z/YfjLGh1nrP9h+MsaHWes/6e+l8KBZ6z/p76XwoFnrP814W+m1Wes/zXhb6bVZ6z+wARHiylnrP7ABEeLKWes/qn6l8+FZ6z+qfqXz4VnrP1qcMcwJWus/WpwxzAla6z+qZtZSQFrrP6pm1lJAWus/BDdStkha6z8EN1K2SFrrPxsrMc9KWus/Gysxz0pa6z/iPJzAdFrrP+I8nMB0Wus/ECVa8nha6z8QJVryeFrrP9y5MNKLWus/3Lkw0ota6z8Kou4DkFrrPwqi7gOQWus/N4qsNZRa6z83iqw1lFrrP8BC5sqgWus/wELmyqBa6z8EH4MVp1rrPwQfgxWnWus/FZD2P8Ba6z8VkPY/wFrrP1PpJ5zdWus/U+knnN1a6z+B0eXN4VrrP4HR5c3hWus/NnLdlPJa6z82ct2U8lrrP0fjUL8LW+s/R+NQvwtb6z9vSKMCJ1vrP29IowInW+s/b0ijAidb6z9vSKMCJ1vrPwhyUMJMW+s/CHJQwkxb6z+RKopXWVvrP5EqildZW+s//Wt55Xpb6z/9a3nlelvrP/1reeV6W+s//Wt55Xpb6z/accPvplvrP9pxw++mW+s/kBK7trdb6z+QEru2t1vrP+VfyyvXW+s/5V/LK9db6z/lX8sr11vrP+VfyyvXW+s/UaG6ufhb6z9Robq5+FvrP8NlFTYDXOs/w2UVNgNc6z/qymd5HlzrP+rKZ3keXOs/5Uf8ijVc6z/lR/yKNVzrP9/EkJxMXOs/38SQnExc6z86lQwAVVzrPzqVDABVXOs/fnGpSltc6z9+calKW1zrP3Jr0m2JXOs/cmvSbYlc6z/7IwwDllzrP/sjDAOWXOs/Su6wicxc6z9K7rCJzFzrP9Km6h7ZXOs/0qbqHtlc6z8Aj6hQ3VzrPwCPqFDdXOs/LXdmguFc6z8td2aC4VzrP/oLPWL0XOs/+gs9YvRc6z9s0Jfe/lzrP2zQl97+XOs/OGVuvhFd6z84ZW6+EV3rP5M16iEaXes/kzXqIRpd6z/j/46oUF3rP+P/jqhQXes/wAXZsnxd6z/ABdmyfF3rP7qCbcSTXes/uoJtxJNd6z+eCyO9qF3rP54LI72oXes/gZTYtb1d6z+BlNi1vV3rP8VwdQDEXes/xXB1AMRd6z83NdB8zl3rPzc10HzOXes/exFtx9Rd6z97EW3H1F3rP9bh6CrdXes/1uHoKt1d6z9fmiLA6V3rP1+aIsDpXes/WRe30QBe6z9ZF7fRAF7rP4F8CRUcXus/gXwJFRxe6z91djI4Sl7rP3V2MjhKXus/WP/nMF9e6z9Y/+cwX17rP2/zxklhXus/b/PGSWFe6z9N+RBUjV7rP035EFSNXus/euHOhZFe6z964c6FkV7rP600KQXdXus/rTQpBd1e6z/OFhBaD1/rP84WEFoPX+s/hLcHISBf6z+EtwchIF/rP2hAvRk1X+s/aEC9GTVf6z+sHFpkO1/rP6wcWmQ7X+s/1IGsp1Zf6z/UgaynVl/rPxLb3QN0X+s/EtvdA3Rf6z9LsaNxqF/rP0uxo3GoX+s/sW8nEeFf6z+xbycR4V/rP3eBkgILYOs/d4GSAgtg6z9bCkj7H2DrP1sKSPsfYOs/WwpI+x9g6z9bCkj7H2DrP7BXWHA/YOs/sFdYcD9g6z9PBHEeTmDrP08EcR5OYOs/YHXkSGdg6z9gdeRIZ2DrP3HmV3OAYOs/ceZXc4Bg6z+ezhWlhGDrP57OFaWEYOs/tcL0vYZg6z+1wvS9hmDrP+Oqsu+KYOs/46qy74pg6z8s8uuH2GDrPyzy64fYYOs/krBvJxFh6z+SsG8nEWHrP7SSVnxDYes/tJJWfENh6z+AJy1cVmHrP4AnLVxWYes/INRFCmVh6z8g1EUKZWHrP+xoHOp3Yes/7Ggc6ndh6z/b39kevWHrP9vf2R69Yes/NrBVgsVh6z82sFWCxWHrP75ojxfSYes/vmiPF9Jh6z/sUE1J1mHrP+xQTUnWYes/MC3qk9xh6z8wLeqT3GHrPyQnE7cKYus/JCcTtwpi6z81mIbhI2LrPzWYhuEjYus/eXQjLCpi6z95dCMsKmLrP75QwHYwYus/vlDAdjBi6z8pkq8EUmLrPymSrwRSYus/hGIraFpi6z+EYitoWmLrP8k+yLJgYus/yT7IsmBi6z/fMqfLYmLrP98yp8tiYus/JA9EFmli6z8kD0QWaWLrP2jr4GBvYus/aOvgYG9i6z95XFSLiGLrP3lcVIuIYus/Z9MRwM1i6z9n0xHAzWLrP3hEhermYus/eESF6uZi6z/TFAFO72LrP9MUAU7vYus/P1bw2xBj6z8/VvDbEGPrP5ombD8ZY+s/miZsPxlj6z/d6jnpfWPrP93qOel9Y+s/6NhBJa5j6z/o2EElrmPrP2sOEMzRY+s/aw4QzNFj6z9rDhDM0WPrP2sOEMzRY+s/3dJqSNxj6z/d0mpI3GPrP5je/lw0ZOs/mN7+XDRk6z/FxryOOGTrP8XGvI44ZOs/v0NRoE9k6z+/Q1GgT2TrP1/waU5eZOs/X/BpTl5k6z8rhUAucWTrPyuFQC5xZOs/gNJQo5Bk6z+A0lCjkGTrP7moFhHFZOs/uagWEcVk6z/hDWlU4GTrP+ENaVTgZOs/CHO7l/tk6z8Ic7uX+2TrP5Er9SwIZes/kSv1LAhl6z/9bOS6KWXrP/1s5LopZes/f6KyYU1l6z9/orJhTWXrP9pyLsVVZes/2nIuxVVl6z9jK2haYmXrP2MraFpiZes/GMxfIXNl6z8YzF8hc2XrP7h4eM+BZes/uHh4z4Fl6z+P+1brxGXrP4/7VuvEZes/XJAty9dl6z9ckC3L12XrPyklBKvqZes/KSUEq+pl6z9FhH8RNGbrP0WEfxE0Zus/+yR32ERm6z/7JHfYRGbrP5rRj4ZTZus/mtGPhlNm6z9QcodNZGbrP1Byh01kZus/HAdeLXdm6z8cB14td2brPzP7PEZ5Zus/M/s8Rnlm6z9h4/p3fWbrP2Hj+nd9Zus/6Zs0DYpm6z/pmzQNimbrPzhm2ZPAZus/OGbZk8Bm6z/XEvJBz2brP9cS8kHPZus/HO+OjNVm6z8c746M1WbrP9KPhlPmZus/0o+GU+Zm6z/iAPp9/2brP+IA+n3/Zus/MsueBDZn6z8yy54ENmfrP42bGmg+Z+s/jZsaaD5n6z+NmxpoPmfrP42bGmg+Z+s/LEgzFk1n6z8sSDMWTWfrPyxIMxZNZ+s/LEgzFk1n6z+eDI6SV2frP54MjpJXZ+s/81meB3dn6z/zWZ4Hd2frPyBCXDl7Z+s/IEJcOXtn6z+p+pXOh2frP6n6lc6HZ+s/0F/oEaNn6z/QX+gRo2frP4YA4NizZ+s/hgDg2LNn6z+06J0KuGfrP7TonQq4Z+s/+MQ6Vb5n6z/4xDpVvmfrP4B9dOrKZ+s/gH106spn6z9kBirj32frP2QGKuPfZ+s/1cqEX+pn6z/VyoRf6mfrPzCbAMPyZ+s/MJsAw/Jn6z8rGJXUCWjrPysYldQJaOs/QQx07Qto6z9BDHTtC2jrP2/0MR8QaOs/b/QxHxBo6z+WWYRiK2jrP5ZZhGIraOs/GY9SCU9o6z8Zj1IJT2jrP+YjKelhaOs/5iMp6WFo6z/mIynpYWjrP+YjKelhaOs//BcIAmRo6z/8FwgCZGjrP/eUnBN7aOs/95ScE3to6z+tNZTai2jrP601lNqLaOs/HvruVpZo6z8e+u5WlmjrPy9rYoGvaOs/L2tiga9o6z9zR//LtWjrP3NH/8u1aOs/yJQPQdVo6z/IlA9B1WjrPwfuQJ3yaOs/B+5AnfJo6z/1ZP7RN2nrP/Vk/tE3aes/RS+jWG5p6z9FL6NYbmnrP0Uvo1huaes/RS+jWG5p6z9bI4JxcGnrP1sjgnFwaes/pWq7Cb5p6z+larsJvmnrP+PD7GXbaes/48PsZdtp6z+q1VdXBWrrP6rVV1cFaus/7rH0oQtq6z/usfShC2rrPwWm07oNaus/BabTug1q6z9JgnAFFGrrP0mCcAUUaus//yJozCRq6z//ImjMJGrrP3Hnwkgvaus/cefCSC9q6z+ez4B6M2rrP57PgHozaus/r0D0pExq6z+vQPSkTGrrPxuC4zJuaus/G4LjMm5q6z/RItv5fmrrP9Ei2/l+aus/LPNWXYdq6z8s81Zdh2rrP6mluRXCaus/qaW5FcJq6z9IUtLD0GrrP0hS0sPQaus/jC5vDtdq6z+MLm8O12rrP6MiTifZaus/oyJOJ9lq6z9vtyQH7GrrP2+3JAfsaus/+G9enPhq6z/4b16c+GrrP6iN6nQga+s/qI3qdCBr6z8DXmbYKGvrPwNeZtgoa+s/RzoDIy9r6z9HOgMjL2vrP7n+XZ85a+s/uf5dnzlr6z/m5hvRPWvrP+bmG9E9a+s/rfiGwmdr6z+t+IbCZ2vrP8/abReaa+s/z9ptF5pr6z8TtwpioGvrPxO3CmKga+s/V5OnrKZr6z9Xk6espmvrP5xvRPesa+s/nG9E96xr6z/3P8BatWvrP/c/wFq1a+s/kGltGttr6z+QaW0a22vrPzoEjgQabOs/OgSOBBps6z/ZsKayKGzrP9mwprIobOs/2bCmsihs6z/ZsKayKGzrP/CkhcsqbOs/8KSFyyps6z/qIRrdQWzrP+ohGt1BbOs/EodsIF1s6z8Sh2wgXWzrP98bQwBwbOs/3xtDAHBs6z/1DyIZcmzrP/UPIhlybOs/9Q8iGXJs6z/1DyIZcmzrP1DgnXx6bOs/UOCdfHps6z/CpPj4hGzrP8Kk+PiEbOs/YVERp5Ns6z9hURGnk2zrP9MVbCOebOs/0xVsI55s6z+fqkIDsWzrP5+qQgOxbOs/5IbfTbds6z/kht9Nt2zrPwvsMZHSbOs/C+wxkdJs6z8tzhjmBG3rPy3OGOYEbes/zHoxlBNt6z/MejGUE23rPzi8ICI1bes/OLwgIjVt6z8cRdYaSm3rPxxF1hpKbes/u/HuyFht6z+78e7IWG3rPyy2SUVjbes/LLZJRWNt6z+HhsWoa23rP4eGxahrbes/VBuciH5t6z9UG5yIfm3rP5j3ONOEbes/mPc404Rt6z+SdM3km23rP5J0zeSbbes/4j5ya9Jt6z/iPnJr0m3rP/Ov5ZXrbes/86/llett6z9kdEAS9m3rP2R0QBL2bes/v0S8df5t6z+/RLx1/m3rP6PNcW4Tbus/o81xbhNu6z+Xx5qRQW7rP5fHmpFBbus/ZFxxcVRu6z9kXHFxVG7rP2RccXFUbus/ZFxxcVRu6z/mkT8YeG7rP+aRPxh4bus/5pE/GHhu6z/mkT8YeG7rPytu3GJ+bus/K27cYn5u6z9BYrt7gG7rP0Fiu3uAbus/DveRW5Nu6z8O95Fbk27rPzvfT42Xbus/O99PjZdu6z/r/Ntlv27rP+v822W/bus/6/zbZb9u6z/r/Ntlv27rPzDZeLDFbus/MNl4sMVu6z/PhZFe1G7rP8+FkV7Ubus/f6MdN/xu6z9/ox03/G7rP5aX/E/+bus/lpf8T/5u6z+Wl/xP/m7rP5aX/E/+bus/2nOZmgRv6z/ac5maBG/rP4qRJXMsb+s/ipElcyxv6z/lYaHWNG/rP+VhodY0b+s/SyAldm1v6z9LICV2bW/rP3jwEwfQb+s/ePATB9Bv6z+P5PIf0m/rP4/k8h/Sb+s/F50std5v6z8XnSy13m/rP/ol4q3zb+s/+iXirfNv6z8/An/4+W/rPz8Cf/j5b+s/9aJ2vwpw6z/1ona/CnDrPwuXVdgMcOs/C5dV2Axw6z85fxMKEXDrPzl/EwoRcOs/SvCGNCpw6z9K8IY0KnDrPxaFXRQ9cOs/FoVdFD1w6z+2MXbCS3DrP7YxdsJLcOs/tjF2wktw6z+2MXbCS3DrPzhnRGlvcOs/OGdEaW9w6z9mTwKbc3DrP2ZPAptzcOs/6ITQQZdw6z/ohNBBl3DrP0NVTKWfcOs/Q1VMpZ9w6z890uC2tnDrPz3S4La2cOs/U67wLhdx6z9TrvAuF3HrP+3Xne48ces/7ded7jxx6z/+SBEZVnHrP/5IERlWces/tOkI4GZx6z+06QjgZnHrP/jFpSptces/+MWlKm1x6z/4xaUqbXHrP/jFpSptces/CTcZVYZx6z8JNxlVhnHrP1gBvtu8ces/WAG+27xx6z90YDlCBnLrP3RgOUIGcus/i1QYWwhy6z+LVBhbCHLrPyoBMQkXcus/KgExCRdy6z9X6e46G3LrP1fp7jobcus/hdGsbB9y6z+F0axsH3LrP7Khm/2Bcus/sqGb/YFy6z/2fThIiHLrP/Z9OEiIcus/UU60q5By6z9RTrSrkHLrP1FOtKuQcus/UU60q5By6z9Ly0i9p3LrP0vLSL2ncus/RUjdzr5y6z9FSN3OvnLrPxLds67Rcus/Et2zrtFy6z8/xXHg1XLrPz/FceDVcus/6V+SyhRz6z/pX5LKFHPrPxdIUPwYc+s/F0hQ/Bhz6z8iNlg4SXPrPyI2WDhJc+s/2NZP/1lz6z/Y1k//WXPrP0qbqntkc+s/Spuqe2Rz6z/pR8Mpc3PrP+lHwylzc+s/VYmyt5Rz6z9VibK3lHPrP4JxcOmYc+s/gnFw6Zhz6z8hHomXp3PrPyEeiZenc+s/fO4E+69z6z987gT7r3PrP69BX3r7c+s/r0Ffevtz6z8hBrr2BXTrPyEGuvYFdOs/LPTBMjZ06z8s9MEyNnTrPw99dytLdOs/D313K0t06z8mcVZETXTrPyZxVkRNdOs/gUHSp1V06z+BQdKnVXTrP5KyRdJudOs/krJF0m506z/b+X5qvHTrP9v5fmq8dOs/dCMsKuJ06z90Iywq4nTrP5yIfm39dOs/nIh+bf106z/3WPrQBXXrP/dY+tAFdes/lgUTfxR16z+WBRN/FHXrP0ymCkYldes/TKYKRiV16z96jsh3KXXrP3qOyHcpdes//MOWHk116z/8w5YeTXXrP8lYbf5fdes/yVht/l916z8NNQpJZnXrPw01Cklmdes/aAWGrG516z9oBYasbnXrP8PVARB3des/w9UBEHd16z+h20sao3XrP6HbSxqjdes/KZSFr6916z8plIWvr3XrPzSCjevfdes/NIKN69916z94Xio25nXrP3heKjbmdes/j1IJT+h16z+PUglP6HXrP2fV52ordus/Z9Xnait26z8GggAZOnbrPwaCABk6dus/pS4Zx0h26z+lLhnHSHbrP0TbMXVXdus/RNsxdVd26z9bzxCOWXbrP1vPEI5Zdus/KGTnbWx26z8oZOdtbHbrP9iBc0aUdus/2IFzRpR26z8cXhCRmnbrPxxeEJGadus/WrdB7bd26z9at0Htt3brP557D5ccd+s/nnsPlxx36z8mNEksKXfrPyY0SSwpd+s/axDmdi936z9rEOZ2L3frP2sQ5nYvd+s/axDmdi936z98gVmhSHfrP3yBWaFId+s//rYnSGx36z/+tidIbHfrP51jQPZ6d+s/nWNA9np36z9p4Ec17HfrP2ngRzXsd+s/1SE3ww146z/VITfDDXjrPwMK9fQReOs/Awr19BF46z8DCvX0EXjrPwMK9fQReOs/z57L1CR46z/PnsvUJHjrP0FjJlEveOs/QWMmUS946z/3Ax4YQHjrP/cDHhhAeOs/JezbSUR46z8l7NtJRHjrP2nIeJRKeOs/ach4lEp46z/xgLIpV3jrP/GAsilXeOs/8YCyKVd46z/xgLIpV3jrP6GePgJ/eOs/oZ4+An946z9XPzbJj3jrP1c/NsmPeOs/hA8lWvJ46z+EDyVa8njrP8jrwaT4eOs/yOvBpPh46z8jvD0IAXnrPyO8PQgBees/5Eo9C0J56z/kSj0LQnnrP+84RUdyees/7zhFR3J56z/Twfo/h3nrP9PB+j+Hees/F56Xio156z8XnpeKjXnrPwuYwK27ees/C5jArbt56z/MJsCw/HnrP8wmwLD8ees/Vd/5RQl66z9V3/lFCXrrP4LHt3cNeus/gse3dw166z+qLAq7KHrrP6osCrsoeus//3kaMEh66z//eRowSHrrPyxi2GFMeus/LGLYYUx66z+vl6YIcHrrP6+Xpghweus/N1DgnXx66z83UOCdfHrrP5IgXAGFeus/kiBcAYV66z/t8NdkjXrrP+3w12SNeus/Mc10r5N66z8xzXSvk3rrPzHNdK+Teus/Mc10r5N66z+6ha5EoHrrP7qFrkSgeus/FVYqqKh66z8VViqoqHrrPz27fOvDeus/Pbt868N66z+Xi/hOzHrrP5eL+E7Meus/51Wd1QJ76z/nVZ3VAnvrP+HSMecZe+s/4dIx5xl76z/VzFoKSHvrP9XMWgpIe+s/XoWUn1R76z9ehZSfVHvrP2/2B8pte+s/b/YHym176z+z0qQUdHvrP7PSpBR0e+s/1bSLaaZ76z/VtItppnvrPwKdSZuqe+s/Ap1Jm6p76z/lJf+Tv3vrP+Ul/5O/e+s/hdIXQs576z+F0hdCznvrP5vG9lrQe+s/m8b2WtB76z818KMa9nvrPzXwoxr2e+s/prT+lgB86z+mtP6WAHzrPynqzD0kfOs/KerMPSR86z/2fqMdN3zrP/Z+ox03fOs/9n6jHTd86z/2fqMdN3zrPxdhinJpfOs/F2GKcml86z9yMQbWcXzrP3IxBtZxfOs/iSXl7nN86z+JJeXuc3zrPz/G3LWEfOs/P8bctYR86z/IfhZLkXzrP8h+FkuRfOs/Ik+Srpl86z8iT5KumXzrP30fDhKifOs/fR8OEqJ86z8uPZrqyXzrPy49murJfOs/OSuiJvp86z85K6Im+nzrPzOoNjgRfes/M6g2OBF96z/SVE/mH33rP9JUT+Yffes/EK6AQj196z8QroBCPX3rP2t+/KVFfes/a378pUV96z+Cctu+R33rP4Jy275Hfes/OBPThVh96z84E9OFWH3rP8DLDBtlfes/wMsMG2V96z8bnIh+bX3rPxuciH5tfes/Tu/i/bh96z9O7+L9uH3rP9anHJPFfes/1qcck8V96z/tm/urx33rP+2b+6vHfes/BJDaxMl96z8EkNrEyX3rP8uhRbbzfes/y6FFtvN96z8J+3YSEX7rPwn7dhIRfus/v5tu2SF+6z+/m27ZIX7rP/30nzU/fus//fSfNT9+6z9YxRuZR37rP1jFG5lHfus/gCpu3GJ+6z+AKm7cYn7rPwjjp3Fvfus/COOncW9+6z9uoSsRqH7rP26hKxGofus/aR7AIr9+6z9pHsAiv37rPyqtvyUAf+s/Kq2/JQB/6z/gTbfsEH/rP+BNt+wQf+s/DTZ1HhV/6z8NNnUeFX/rPyQqVDcXf+s/JCpUNxd/6z+s4o3MI3/rP6zijcwjf+s/8L4qFyp/6z/wvioXKn/rPwEwnkFDf+s/ATCeQUN/6z+g3LbvUX/rP6Dctu9Rf+s/5bhTOlh/6z/luFM6WH/rP21xjc9kf+s/bXGNz2R/6z94X5ULlX/rP3hflQuVf+s/0y8Rb51/6z/TLxFvnX/rP1Zl3xXBf+s/VmXfFcF/6z+xNVt5yX/rP7E1W3nJf+s/lL4Qct5/6z+UvhBy3n/rPzNrKSDtf+s/M2spIO1/6z8zaykg7X/rPzNrKSDtf+s/Sl8IOe9/6z9KXwg573/rP3hHxmrzf+s/eEfGavN/6z+IuDmVDIDrP4i4OZUMgOs/+nyUEReA6z/6fJQRF4DrP7AdjNgngOs/sB2M2CeA6z9PyqSGNoDrP0/KpIY2gOs/Zr6DnziA6z9mvoOfOIDrPwVrnE1HgOs/BWucTUeA6z9JRzmYTYDrP0lHOZhNgOs/YDsYsU+A6z9gOxixT4DrP9L/ci1agOs/0v9yLVqA6z8W3A94YIDrPxbcD3hggOs/WriswmaA6z9auKzCZoDrPz5BYrt7gOs/PkFiu3uA6z+CHf8FgoDrP4Id/wWCgOs/fJqTF5mA6z98mpMXmYDrP+5e7pOjgOs/7l7uk6OA6z8bR6zFp4DrPxtHrMWngOs/dhcoKbCA6z92FygpsIDrP558emzLgOs/nnx6bMuA6z/zyYrh6oDrP/PJiuHqgOs/88mK4eqA6z/zyYrh6oDrP/Kxu0BJges/8rG7QEmB6z8JpppZS4HrPwmmmllLges/IJp5ck2B6z8gmnlyTYHrPzeOWItPges/N45Yi0+B6z8DIy9rYoHrPwMjL2tiges/s0C7Q4qB6z+zQLtDioHrP8o0mlyMges/yjSaXIyB6z82donqrYHrPzZ2ieqtges/Gf8+48KB6z8Z/z7jwoHrP8+fNqrTges/z582qtOB6z8TfNP02YHrPxN80/TZges/4BCq1OyB6z/gEKrU7IHrP1LVBFH3ges/UtUEUfeB6z+WsaGb/YHrP5axoZv9ges/8YEd/wWC6z/xgR3/BYLrPy/bTlsjgus/L9tOWyOC6z+hn6nXLYLrP6Gfqdctgus/QEzChTyC6z9ATMKFPILrP4UoX9BCgus/hShf0EKC6z94CrlSz4LrP3gKuVLPgus/pvJ2hNOC6z+m8naE04LrPxE0ZhL1gus/ETRmEvWC6z8RNGYS9YLrPxE0ZhL1gus/x9Rd2QWD6z/H1F3ZBYPrP97IPPIHg+s/3sg88geD6z/NP/omTYPrP80/+iZNg+s/2C0CY32D6z/YLQJjfYPrP7u2t1uSg+s/u7a3W5KD6z+eP21Up4PrP54/bVSng+s/dsJLcOqD6z92wktw6oPrP6SqCaLug+s/pKoJou6D6z/ohqbs9IPrP+iGpuz0g+s/LGNDN/uD6z8sY0M3+4PrP4czv5oDhOs/hzO/mgOE6z+vmBHeHoTrP6+YEd4ehOs/JsgIqHCE6z8myAiocITrP/Jc34eDhOs/8lzfh4OE6z+RCfg1koTrP5EJ+DWShOs/qP3WTpSE6z+o/dZOlITrP+zZc5mahOs/7NlzmZqE6z/yRBDn4YTrP/JEEOfhhOs/TRWMSuqE6z9NFYxK6oTrP6jlB67yhOs/qOUHrvKE6z/swaT4+ITrP+zBpPj4hOs/MJ5BQ/+E6z8wnkFD/4TrP0eSIFwBhes/R5IgXAGF6z8TJ/c7FIXrPxMn9zsUhes/m8dhMH+F6z+bx2Ewf4XrP+UOm8jMhes/5Q6byMyF6z9LzR5oBYbrP0vNHmgFhus/pp2ayw2G6z+mnZrLDYbrP+p5NxYUhus/6nk3FhSG6z8XYvVHGIbrPxdi9UcYhus/cjJxqyCG6z9yMnGrIIbrP7GLogc+hus/sYuiBz6G6z9QOLu1TIbrP1A4u7VMhus/HM2RlV+G6z8czZGVX4brP08g7BSrhus/TyDsFKuG6z+q8Gd4s4brP6rwZ3izhus/u2HbosyG6z+7YduizIbrP1oO9FDbhus/Wg70UNuG6z/5ugz/6YbrP/m6DP/phus/xk/j3vyG6z/GT+Pe/IbrP08IHXQJh+s/TwgddAmH6z+T5Lm+D4frP5Pkub4Ph+s/0T3rGi2H6z/RPesaLYfrP1r2JLA5h+s/WvYksDmH6z+H3uLhPYfrP4fe4uE9h+s/r0M1JVmH6z+vQzUlWYfrP/Mf0m9fh+s/8x/Sb1+H6z/tnGaBdofrP+2cZoF2h+s/1pC4x9KH6z/WkLjH0ofrP3U90XXhh+s/dT3RdeGH6z+LGeHtQYjrP4sZ4e1BiOs/rfvHQnSI6z+t+8dCdIjrP0yo4PCCiOs/TKjg8IKI6z8NN+Dzw4jrPw034PPDiOs/JCu/DMaI6z8kK78MxojrPzofniXIiOs/Oh+eJciI6z/D19e61IjrP8PX17rUiOs/B7R0BduI6z8HtHQF24jrP7fRAN4Cies/t9EA3gKJ6z/lub4PB4nrP+W5vg8Hies/hGbXvRWJ6z+EZte9FYnrP0t4Qq8/ies/S3hCrz+J6z9hbCHIQYnrP2FsIchBies/RfXWwFaJ6z9F9dbAVonrP4nRcwtdies/idFzC12J6z9sWikEconrP2xaKQRyies/UOPe/IaJ6z9Q4978honrP1Dj3vyGies/UOPe/IaJ6z+rs1pgj4nrP6uzWmCPies/vCTOiqiJ6z+8JM6KqInrPwABa9Wuies/AAFr1a6J6z8X9UnusInrPxf1Se6wies/C+9yEd+J6z8L73IR34nrPwvvchHfies/C+9yEd+J6z8FbAcj9onrPwVsByP2ies/iKHVyRmK6z+IodXJGYrrP+NxUS0iius/43FRLSKK6z+CHmrbMIrrP4Ieatswius/BFQ4glSK6z8EVDiCVIrrP0kw1cxaius/STDVzFqK6z9wlScQdorrP3CVJxB2ius/N6eSAaCK6z83p5IBoIrrP06bcRqiius/TptxGqKK6z8EPGnhsorrPwQ8aeGyius/GjBI+rSK6z8aMEj6tIrrP8XKaOTzius/xcpo5POK6z/ysiYW+IrrP/KyJhb4ius/TYOieQCL6z9Ng6J5AIvrP+wvuycPi+s/7C+7Jw+L6z9HADeLF4vrP0cAN4sXi+s/0LhwICSL6z/QuHAgJIvrP/cdw2M/i+s/9x3DYz+L6z96U5EKY4vrP3pTkQpji+s/orjjTX6L6z+iuONNfovrPw360tufi+s/DfrS25+L6z+WsgxxrIvrP5ayDHGsi+s/GejaF9CL6z8Z6NoX0IvrPxno2hfQi+s/GejaF9CL6z/JBWfw94vrP8kFZ/D3i+s/3/lFCfqL6z/f+UUJ+ovrP5WaPdAKjOs/lZo90AqM6z9zoIfaNozrP3Ogh9o2jOs/c6CH2jaM6z9zoIfaNozrP+rPfqSIjOs/6s9+pIiM6z8urBvvjozrPy6sG++OjOs/g/krZK6M6z+D+StkrozrP97Jp8e2jOs/3smnx7aM6z99dsB1xYzrP312wHXFjOs/VfmekQiN6z9V+Z6RCI3rP5nVO9wOjes/mdU73A6N6z8ijnVxG43rPyKOdXEbjes/7iJMUS6N6z/uIkxRLo3rP43PZP88jes/jc9k/zyN6z9r1a4JaY3rP2vVrglpjes/G/M64pCN6z8b8zrikI3rPxvzOuKQjes/G/M64pCN6z8y5xn7ko3rPzLnGfuSjes/Sdv4E5WN6z9J2/gTlY3rP6SrdHedjes/pKt0d52N6z8VcM/zp43rPxVwz/Onjes/gbG+gcmN6z+Bsb6ByY3rPwTnjCjtjes/BOeMKO2N6z8aw5ygTY7rPxrDnKBNjus/i4f3HFiO6z+Lh/ccWI7rP4uH9xxYjus/i4f3HFiO6z+Lh/ccWI7rP4uH9xxYjus/nPhqR3GO6z+c+GpHcY7rP8rgKHl1jus/yuAoeXWO6z/h1AeSd47rP+HUB5J3jus/z0vFxryO6z/PS8XGvI7rP39pUZ/kjus/f2lRn+SO6z9M/id/947rP0z+J3/3jus/kNrEyf2O6z+Q2sTJ/Y7rPw2NJ4I4j+s/DY0ngjiP6z8p7KLogY/rPynsouiBj+s/P+CBAYSP6z8/4IEBhI/rP2dF1ESfj+s/Z0XURJ+P6z+VLZJ2o4/rP5Utknajj+s/2QkvwamP6z/ZCS/BqY/rPwby7PKtj+s/BvLs8q2P6z/qeqLrwo/rP+p6ouvCj+s/F2NgHceP6z8XY2Adx4/rPyjU00fgj+s/KNTTR+CP6z8LXYlA9Y/rPwtdiUD1j+s/6WLTSiGQ6z/pYtNKIZDrPz6w479AkOs/PrDjv0CQ6z8yqgzjbpDrPzKqDONukOs//z7jwoGQ6z//PuPCgZDrP9E+VvDbkOs/0T5W8NuQ6z83/dmPFJHrPzf92Y8Ukes/SG5Nui2R6z9Ibk26LZHrP7+dRIR/kes/v51EhH+R6z9vu9Bcp5HrP2+70Fynkes/UkSGVbyR6z9SRIZVvJHrP5Gdt7HZkes/kZ23sdmR6z9uowG8BZLrP26jAbwFkus/yXN9Hw6S6z/Jc30fDpLrP5YIVP8gkus/lghU/yCS6z+9baZCPJLrP71tpkI8kus/61VkdECS6z/rVWR0QJLrP0uRfCWQkus/S5F8JZCS6z9z9s5oq5LrP3P2zmirkus/HZHvUuqS6z8dke9S6pLrPx2R71Lqkus/HZHvUuqS6z/qJcYy/ZLrP+olxjL9kus/LgJjfQOT6z8uAmN9A5PrP6DGvfkNk+s/oMa9+Q2T6z8i/IugMZPrPyL8i6Axk+s/LeqT3GGT6z8t6pPcYZPrP+OKi6Nyk+s/44qLo3KT6z+CN6RRgZPrP4I3pFGBk+s/fLQ4Y5iT6z98tDhjmJPrPz1DOGbZk+s/PUM4ZtmT6z/z4y8t6pPrP/PjLy3qk+s/ru/DQUKU6z+u78NBQpTrPzElkuhllOs/MSWS6GWU6z8UrkfhepTrPxSuR+F6lOs/CahwBKmU6z8JqHAEqZTrP171gHnIlOs/XvWAeciU6z+5xfzc0JTrP7nF/NzQlOs/DhMNUvCU6z8OEw1S8JTrP8SzBBkBles/xLMEGQGV6z/xm8JKBZXrP/GbwkoFles/4BKAf0qV6z/gEoB/SpXrP1LX2vtUles/Utfa+1SV6z9dxeI3hZXrP13F4jeFles/oaF/gouV6z+hoX+Ci5XrPylauReYles/KVq5F5iV6z8N424QrZXrPw3jbhCtles/rI+HvruV6z+sj4e+u5XrPylC6nb2les/KULqdvaV6z/I7gIlBZbrP8juAiUFlus/5E1+i06W6z/kTX6LTpbrP2aDTDJylus/ZoNMMnKW6z99dytLdJbrP313K0t0lus/guLHmLuW6z+C4seYu5brP093nnjOlus/T3eeeM6W6z+TUzvD1JbrP5NTO8PUlus/HAx1WOGW6z8cDHVY4ZbrP1plprT+lus/WmWmtP6W6z+HTWTmApfrP4dNZOYCl+s/zCkBMQmX6z/MKQExCZfrP2vWGd8Xl+s/a9YZ3xeX6z/GppVCIJfrP8amlUIgl+s/ZDvfT42X6z9kO99PjZfrP6kXfJqTl+s/qRd8mpOX6z/t8xjlmZfrP+3zGOWZl+s/QkEpWrmX6z9CQSlauZfrP4YdxqS/l+s/hh3GpL+X6z+dEaW9wZfrP50Rpb3Bl+s/nRGlvcGX6z+dEaW9wZfrP2QjEK/rl+s/ZCMQr+uX6z9kIxCv65frP2QjEK/rl+s/v/OLEvSX6z+/84sS9JfrPys1e6AVmOs/KzV7oBWY6z9GlPYGX5jrP0aU9gZfmOs/oUyjycWY6z+hTKPJxZjrPykF3V7SmOs/KQXdXtKY6z/2mbM+5ZjrP/aZsz7lmOs/NPPkmgKZ6z808+SaApnrPxh8mpMXmes/GHyakxeZ6z+ln3B2a5nrP6WfcHZrmes/04cuqG+Z6z/Thy6ob5nrP1A6kWCqmes/UDqRYKqZ6z+7e4Duy5nrP7t7gO7Lmes/u3uA7suZ6z+7e4Duy5nrP9JvXwfOmes/0m9fB86Z6z8nvW987ZnrPye9b3ztmes/TyLCvwia6z9PIsK/CJrrP8zUJHhDmus/zNQkeEOa6z89mX/0TZrrPz2Zf/RNmus/ISI17WKa6z8hIjXtYprrP04K8x5nmus/TgrzHmea6z8bn8n+eZrrPxufyf55mus/X3tmSYCa6z9fe2ZJgJrrP8u8Vdehmus/y7xV16Ga6z8PmfIhqJrrPw+Z8iGomus/A5MbRdaa6z8DkxtF1prrPw+BI4EGm+s/D4EjgQab6z+ARX79EJvrP4BFfv0Qm+s/ri08LxWb6z+uLTwvFZvrP3rCEg8om+s/esISDyib6z9HV+nuOpvrP0dX6e46m+s/WMhcGVSb6z9YyFwZVJvrP7OY2Hxcm+s/s5jYfFyb6z+hD5axoZvrP6EPlrGhm+s/soAJ3Lqb6z+ygAncupvrPw1RhT/Dm+s/DVGFP8Ob6z+h98YQAJzrP6H3xhAAnOs//MdCdAic6z/8x0J0CJzrP/zHQnQInOs//MdCdAic6z9Lkuf6PpzrP0uS5/o+nOs/vVZCd0mc6z+9VkJ3SZzrPymYMQVrnOs/KZgxBWuc6z8pmDEFa5zrPymYMQVrnOs/lNkgk4yc6z+U2SCTjJzrP6vN/6uOnOs/q83/q46c6z9KehhanZzrP0p6GFqdnOs/j1a1pKOc6z+PVrWko5zrP7w+c9annOs/vD5z1qec6z9b64uEtpzrP1vri4S2nOs/idNJtrqc6z+J00m2upzrP82v5gDBnOs/za/mAMGc6z8i/fZ14JzrPyL99nXgnOs/uyakNQad6z+7JqQ1Bp3rPy3r/rEQnes/Lev+sRCd6z+fr1kuG53rP5+vWS4bnes/3QiLijid6z/dCIuKOJ3rP9eFH5xPnes/14UfnE+d6z/uef60UZ3rP+55/rRRnes/YD5ZMVyd6z9gPlkxXJ3rP5gUH5+Qnes/mBQfn5Cd6z/c8Lvplp3rP9zwu+mWnes/fJ3Ul6Wd6z98ndSXpZ3rP8B5ceKrnes/wHlx4qud6z+69gX0wp3rP7r2BfTCnes/xeQNMPOd6z/F5A0w853rP6htwygInus/qG3DKAie6z/VPbK5ap7rP9U9srlqnus/H4XrUbie6z8fhetRuJ7rP6c9JefEnus/pz0l58Se6z/Poncq4J7rP8+idyrgnus/bk+Q2O6e6z9uT5DY7p7rP4VDb/Hwnus/hUNv8fCe6z8k8Ief/57rPyTwh5//nus/UdhF0QOf6z9R2EXRA5/rP2jMJOoFn+s/aMwk6gWf6z81YfvJGJ/rPzVh+8kYn+s/6wHzkCmf6z/rAfOQKZ/rPylbJO1Gn+s/KVsk7Uaf6z8Y0uEhjJ/rPxjS4SGMn+s/LsbAOo6f6z8uxsA6jp/rP3OiXYWUn+s/c6JdhZSf6z/vVMA9z5/rP+9UwD3Pn+s/coqO5PKf6z9yio7k8p/rPyKoGr0aoOs/IqgavRqg6z/BVDNrKaDrP8FUM2spoOs/mdcRh2yg6z+Z1xGHbKDrPyGQSxx5oOs/IZBLHHmg6z+vsyH/zKDrP6+zIf/MoOs/54nnbAGh6z/niedsAaHrP/59xoUDoes//n3GhQOh6z/+fcaFA6HrP/59xoUDoes/Pdf34SCh6z891/fhIKHrP1PL1voioes/U8vW+iKh6z9Ixf8dUaHrP0jF/x1Roes/SMX/HVGh6z9Ixf8dUaHrP7MG76tyoes/swbvq3Kh6z8ZxXJLq6HrPxnFckuroes//U0oRMCh6z/9TShEwKHrPx8wD5nyoes/HzAPmfKh6z/8NVmjHqLrP/w1WaMeous/V+4FZoWi6z9X7gVmhaLrP35TWKmgous/flNYqaCi6z/CL/XzpqLrP8Iv9fOmous/06BoHsCi6z/ToGgewKLrP9OgaB7Aous/06BoHsCi6z8uceSByKLrPy5x5IHIous/VtY2xeOi6z9W1jbF46LrP23KFd7lous/bcoV3uWi6z9tyhXe5aLrP23KFd7lous/Z0eq7/yi6z9nR6rv/KLrP9gLBWwHo+s/2AsFbAej6z+JKZFEL6PrP4kpkUQvo+s/zQUujzWj6z/NBS6PNaPrP1W+ZyRCo+s/Vb5nJEKj6z/0aoDSUKPrP/RqgNJQo+s/nwWhvI+j6z+fBaG8j6PrP5mCNc6mo+s/mYI1zqaj6z/RWPs726PrP9FY+zvbo+s/ISOgwhGk6z8hI6DCEaTrPwSsVbsmpOs/BKxVuyak6z8xlBPtKqTrPzGUE+0qpOs/SIjyBS2k6z9IiPIFLaTrP4xkj1AzpOs/jGSPUDOk6z9CBYcXRKTrP0IFhxdEpOs/Jo48EFmk6z8mjjwQWaTrP65GdqVlpOs/rkZ2pWWk6z9IcCNli6TrP0hwI2WLpOs/s7ES86yk6z+zsRLzrKTrP2TPnsvUpOs/ZM+ey9Sk6z/mBG1y+KTrP+YEbXL4pOs/5gRtcvik6z/mBG1y+KTrPxTtKqT8pOs/FO0qpPyk6z+cpWQ5CaXrP5ylZDkJpes/kJ+NXDel6z+Qn41cN6XrP4ocIm5Opes/ihwibk6l6z8T1VsDW6XrPxPVWwNbpes/OzquRnal6z87Oq5GdqXrP9rmxvSEpes/2ubG9ISl6z/rVzofnqXrP+tXOh+epes/bY0IxsGl6z9tjQjGwaXrP0uTUtDtpes/S5NS0O2l6z+g4GJFDabrP6DgYkUNpus/oOBiRQ2m6z+g4GJFDabrP1aBWgwepus/VoFaDB6m6z9tdTklIKbrP211OSUgpus/sVHWbyam6z+xUdZvJqbrPzkKEAUzpus/OQoQBTOm6z9n8s02N6brP2fyzTY3pus/wsJJmj+m6z/CwkmaP6brPx2Txf1Hpus/HZPF/Uem6z/6mA8IdKbrP/qYDwh0pus/PnWsUnqm6z8+daxSeqbrP1Vpi2t8pus/VWmLa3ym6z+fsMQDyqbrP5+wxAPKpus/a0Wb49ym6z9rRZvj3KbrP2XCL/Xzpus/ZcIv9fOm6z/uemmKAKfrP+56aYoAp+s/BW9IowKn6z8Fb0ijAqfrPxBdUN8yp+s/EF1Q3zKn6z89RQ4RN6frPz1FDhE3p+s/BFd5AmGn6z8EV3kCYafrP5f9utOdp+s/l/26052n6z/c2VcepKfrP9zZVx6kp+s/b4CZ7+Cn6z9vgJnv4KfrP9vBiH0CqOs/28GIfQKo6z82kgThCqjrPzaSBOEKqOs/XvdWJCao6z9e91YkJqjrPxSYTus2qOs/FJhO6zao6z8v3/qw3qjrPy/f+rDeqOs/VkRN9Pmo6z9WRE30+ajrP9/8hokGqes/3/yGiQap6z8M5US7CqnrPwzlRLsKqes/Sz52Fyip6z9LPnYXKKnrP3gmNEksqes/eCY0SSyp6z+PGhNiLqnrP48aE2Iuqes/Vix+U1ip6z9WLH5TWKnrP97kt+hkqes/3uS36GSp6z/vVSsTfqnrP+9VKxN+qes/MzLIXYSp6z8zMshdhKnrPyKphZLJqes/IqmFksmp6z+k3lM57anrP6TeUzntqes/cXMqGQCq6z9xcyoZAKrrP+4ljdE6qus/7iWN0Tqq6z9g6udNRarrP2Dq501Fqus/a9jviXWq6z9r2O+JdarrP6+0jNR7qus/r7SM1Huq6z/zkCkfgqrrP/OQKR+Cqus/ZVWEm4yq6z9lVYSbjKrrPwQCnUmbqus/BAKdSZuq6z+6opQQrKrrP7qilBCsqus//n4xW7Kq6z/+fjFbsqrrPxVzEHS0qus/FXMQdLSq6z+unL0z2qrrP66cvTPaqus/kiVzLO+q6z+SJXMs76rrP9B+pIgMq+s/0H6kiAyr6z8O2NXkKavrPw7Y1eQpq+s/gJwwYTSr6z+AnDBhNKvrP5eQD3o2q+s/l5APejar6z+thO6SOKvrP62E7pI4q+s/TTEHQUer6z9NMQdBR6vrP16iemtgq+s/XqJ6a2Cr6z8vou2YuqvrPy+i7Zi6q+s/kN0FSgqs6z+Q3QVKCqzrP9S5opQQrOs/1LmilBCs6z8BomDGFKzrPwGiYMYUrOs/Vu9wOzSs6z9W73A7NKzrP9+nqtBArOs/36eq0ECs6z9L6ZleYqzrP0vpmV5irOs/thK6S+Ks6z+2ErpL4qzrP80GmWTkrOs/zQaZZOSs6z8LYMrAAa3rPwtgysABres/fSQlPQyt6z99JCU9DK3rP+PiqNxEres/4+Ko3ESt6z/51of1Rq3rP/nWh/VGres/a5vicVGt6z9rm+JxUa3rP6r0E85ures/qvQTzm6t6z8FxY8xd63rPwXFjzF3res//0EkQ46t6z//QSRDjq3rP1oSoKaWres/WhKgppat6z/L1voioa3rP8vW+iKhres/CjAsf76t6z8KMCx/vq3rP0dxjjo6rus/R3GOOjqu6z8ld9hEZq7rPyV32ERmrus/CACOPXuu6z8IAI49e67rPx/0bFZ9rus/H/RsVn2u6z9B1lOrr67rP0HWU6uvrus/Htydtduu6z8e3J21267rPx7cnbXbrus/Htydtduu6z+nlNdK6K7rP6eU10rorus/63B0le6u6z/rcHSV7q7rP5uOAG4Wr+s/m44Abhav6z/fap24HK/rP99qnbgcr+s/HsTOFDqv6z8exM4UOq/rP3mUSnhCr+s/eZRKeEKv6z9cHQBxV6/rP1wdAHFXr+s/9katMH2v6z/2Rq0wfa/rPzojSnuDr+s/OiNKe4Ov6z+8WBgip6/rP7xYGCKnr+s/zcmLTMCv6z/NyYtMwK/rP++rcqHyr+s/76tyofKv6z8dlDDT9q/rPx2UMNP2r+s/YXDNHf2v6z9hcM0d/a/rP45Yi08BsOs/jliLTwGw6z+2vd2SHLDrP7a93ZIcsOs/Zttpa0Sw6z9m22lrRLDrP4i9UMB2sOs/iL1QwHaw6z+esS/ZeLDrP56xL9l4sOs/6Phoccaw6z/o+GhxxrDrP//sR4rIsOs//+xHisiw6z8K20/G+LDrPwrbT8b4sOs/qYdodAex6z+ph2h0B7HrPzFAogkUses/MUCiCRSx6z8VyVcCKbHrPxXJVwIpses/cJnTZTGx6z9wmdNlMbHrP1MiiV5Gses/UyKJXkax6z/nyMovg7HrP+fIyi+Dses/s12hD5ax6z+zXaEPlrHrPw4uHXOeses/Di4dc56x6z+t2jUhrbHrP63aNSGtses/7DNnfcqx6z/sM2d9yrHrP0cE4+DSses/RwTj4NKx6z8CEHf1KrLrPwIQd/Uqsus/5Zgs7j+y6z/lmCzuP7LrP25RZoNMsus/blFmg0yy6z9R2ht8YbLrP1HaG3xhsus/t5ifG5qy6z+3mJ8bmrLrP86MfjScsus/zox+NJyy6z+mD11Q37LrP6YPXVDfsus/W7BUF/Cy6z9bsFQX8LLrP7aA0Hr4sus/toDQeviy6z8AyAkTRrPrPwDICRNGs+s/coxkj1Cz6z9yjGSPULPrP1UVGohls+s/VRUaiGWz6z/0wTI2dLPrP/TBMjZ0s+s/T5KumXyz6z9Pkq6ZfLPrP7vTnSees+s/u9OdJ56z6z8nFY21v7PrPycVjbW/s+s/guUIGciz6z+C5QgZyLPrP7q7zob8s+s/urvOhvyz6z/oo4y4ALTrP+ijjLgAtOs/FYxK6gS06z8VjErqBLTrPz3xnC0gtOs/PfGcLSC06z+SPq2iP7TrP5I+raI/tOs/0Jfe/ly06z/Ql97+XLTrP/j8MEJ4tOs/+PwwQni06z882c2MfrTrPzzZzYx+tOs/rp0oCYm06z+unSgJibTrP6KXUSy3tOs/opdRLLe06z8UXKyowbTrPxRcrKjBtOs/DtlAuti06z8O2UC62LTrP12j5UAPtes/XaPlQA+16z/9T/7uHbXrP/1P/u4dtes/hQg4hCq16z+FCDiEKrXrPzupL0s7tes/O6kvSzu16z87qS9LO7XrPzupL0s7tes/lnmrrkO16z+WeauuQ7XrP5Z5q65Dtes/lnmrrkO16z9jDoKOVrXrP2MOgo5Wtes/L6NYbmm16z8vo1huabXrP7LYJhWNtes/stgmFY216z+y2CYVjbXrP7LYJhWNtes/9rTDX5O16z/2tMNfk7XrP2h5Htydtes/aHke3J216z/7H2Ct2rXrP/sfYK3ates/OnmRCfi16z86eZEJ+LXrP8Ixy54Etus/wjHLngS26z9bW3heKrbrP1tbeF4qtus/KPBOPj226z8o8E4+PbbrPzlhwmhWtus/OWHCaFa26z+rJR3lYLbrP6slHeVgtus/BvaYSGm26z8G9phIabbrP0rSNZNvtus/StI1k2+26z+OrtLddbbrP46u0t11tus/F2cMc4K26z8XZwxzgrbrP4grZ++Mtus/iCtn74y26z8+zF62nbbrPz7MXradtus/VcA9z5+26z9VwD3Pn7brP/RsVn2utus/9GxWfa626z8tQxzr4rbrPy1DHOvitus/cR+5Nem26z9xH7k16bbrP7X7VYDvtus/tftVgO+26z8hPUUOEbfrPyE9RQ4Rt+s/kwGgihu36z+TAaCKG7frP6RyE7U0t+s/pHITtTS36z8EritmhLfrPwSuK2aEt+s/MZbpl4i36z8xlumXiLfrP2psrwW9t+s/amyvBb236z9SYAFMGbjrP1JgAUwZuOs/yY/4FWu46z/Jj/gVa7jrPyRgdHlzuOs/JGB0eXO46z/DDI0ngrjrP8MMjSeCuOs/8fRKWYa46z/x9EpZhrjrP76JITmZuOs/vokhOZm46z8kSKXY0bjrPyRIpdjRuOs/HsU56ui46z8exTnq6LjrP/VHGAYsues/9UcYBiy56z8GuYswRbnrPwa5izBFues/SpUoe0u56z9KlSh7S7nrPzkM5q+Ques/OQzmr5C56z+r0EAsm7nrP6vQQCybues/zLIngc256z/MsieBzbnrPxGPxMvTues/EY/Ey9O56z/0F3rE6LnrP/QXesToues/MnGrIAa66z8ycasgBrrrP41BJ4QOuus/jUEnhA666z9O0CaHT7rrP07QJodPuus/tI6qJoi66z+0jqomiLrrPxXKwtfXuus/FcrC19e66z/F506w/7rrP8XnTrD/uus/9zqpL0u76z/3OqkvS7vrP/c6qS9Lu+s/9zqpL0u76z/Ez38PXrvrP8TPfw9eu+s/H6D7cma76z8foPtyZrvrP0yIuaRqu+s/TIi5pGq76z9jfJi9bLvrP2N8mL1su+s/otXJGYq76z+i1ckZirvrP13hXS7iu+s/XeFdLuK76z9uUtFY+7vrP25S0Vj7u+s/mzqPiv+76z+bOo+K/7vrPw3/6QYKvOs/Df/pBgq86z8ecF0xI7zrPx5wXTEjvOs/1BBV+DO86z/UEFX4M7zrPyleZW1TvOs/KV5lbVO86z/f/lw0ZLzrP9/+XDRkvOs/Os/Yl2y86z86z9iXbLzrP6uTMxR3vOs/q5MzFHe86z/Ze/FFe7zrP9l78UV7vOs/oI1cN6W86z+gjVw3pbzrP1UuVP61vOs/VS5U/rW86z+w/s9hvrzrP7D+z2G+vOs/2GMipdm86z/YYyKl2bzrP0oofSHkvOs/Sih9IeS86z+Iga59Ab3rP4iBrn0Bves/tmlsrwW96z+2aWyvBb3rP4L+Qo8Yves/gv5Cjxi96z8Lt3wkJb3rPwu3fCQlves/qmOV0jO96z+qY5XSM73rP3F1AMRdves/cXUAxF296z/zqs5qgb3rP/OqzmqBves/4iGMn8a96z/iIYyfxr3rP1Tm5hvRves/VObmG9G96z/4/ZsXJ77rP/j9mxcnvus/gLbVrDO+6z+AttWsM77rPwPso1NXvus/A+yjU1e+6z8w1GGFW77rPzDUYYVbvus/FF0XfnC+6z8UXRd+cL7rPx9LH7qgvus/H0sfuqC+6z9MM93rpL7rP0wz3eukvus/Yye8BKe+6z9jJ7wEp77rP7h0zHnGvus/uHTMeca+6z/mXIqryr7rP+ZciqvKvus/yeU/pN++6z/J5T+k377rPx4zUBn/vus/HjNQGf++6z+n64muC7/rP6fria4Lv+s/5US7Cim/6z/lRLsKKb/rPykhWFUvv+s/KSFYVS+/6z9i9x3DY7/rP2L3HcNjv+s/c2iR7Xy/6z9zaJHtfL/rP3Noke18v+s/c2iR7Xy/6z+3RC44g7/rP7dELjiDv+s/hNkEGJa/6z+E2QQYlr/rPxeARunSv+s/F4BG6dK/6z+DwTV39L/rP4PBNXf0v+s/ZkrrbwnA6z9mSutvCcDrP4KpZtZSwOs/gqlm1lLA6z8c0xOWeMDrPxzTE5Z4wOs/J8Eb0qjA6z8nwRvSqMDrP8ZtNIC3wOs/xm00gLfA6z9ZFHZR9MDrP1kUdlH0wOs/qd4a2CrB6z+p3hrYKsHrP9bG2Akvwes/1sbYCS/B6z8ao3VUNcHrPxqjdVQ1wes/ndhD+1jB6z+d2EP7WMHrP8U9lj50wes/xT2WPnTB6z+WPQlszsHrP5Y9CWzOwes/TN4AM9/B6z9M3gAz38HrP+CEQgQcwus/4IRCBBzC6z8S2JyDZ8LrPxLYnINnwus/V7Q5zm3C6z9XtDnObcLrP1e0Oc5twus/V7Q5zm3C6z9tqBjnb8LrP22oGOdvwus/I0kQroDC6z8jSRCugMLrP6wBSkONwus/rAFKQ43C6z/O4zCYv8LrP87jMJi/wus/Brr2BfTC6z8GuvYF9MLrP9481SE3w+s/3jzVITfD6z/YuWkzTsPrP9i5aTNOw+s/jUKSWb3D6z+NQpJZvcPrP6Q2cXK/w+s/pDZxcr/D6z+eswWE1sPrP56zBYTWw+s/J2w/GePD6z8nbD8Z48PrP1m/mZguxOs/Wb+ZmC7E6z+YGMv0S8TrP5gYy/RLxOs/3PRnP1LE6z/c9Gc/UsTrPyDRBIpYxOs/INEEiljE6z8g0QSKWMTrPyDRBIpYxOs/kpVfBmPE6z+SlV8GY8TrP4wS9Bd6xOs/jBL0F3rE6z8PSMK+ncTrPw9Iwr6dxOs/WI/7VuvE6z9Yj/tW68TrPzsYsU8Axes/OxixTwDF6z8ZHvtZLMXrPxke+1ksxes/w7gbRGvF6z/DuBtEa8XrP3lZEwt8xes/eVkTC3zF6z/rHW6HhsXrP+sdboeGxes/XeLIA5HF6z9d4sgDkcXrP86mI4Cbxes/zqYjgJvF6z9o0NA/wcXrP2jQ0D/Bxes/UMQihh3G6z9QxCKGHcbrP2e4AZ8fxus/Z7gBnx/G6z8RUyKJXsbrPxFTIolexus/41KVtrjG6z/jUpW2uMbrP2sLz0vFxus/awvPS8XG6z+qZACo4sbrP6pkAKjixus/zEbn/BTH6z/MRuf8FMfrPz0LQnkfx+s/PQtCeR/H6z/ct1onLsfrP9y3Wicux+s/X+0ozlHH6z9f7SjOUcfrP9Gxg0pcx+s/0bGDSlzH6z9Zar3faMfrP1lqvd9ox+s/Dwu1pnnH6z8PC7WmecfrPyb/k797x+s/Jv+Tv3vH6z8DBd7Jp8frPwMF3smnx+s/AwXeyafH6z8DBd7Jp8frP+eNk8K8x+s/542TwrzH6z8O8+UF2MfrPw7z5QXYx+s/rYcvE0XI6z+thy8TRcjrPwhYq3ZNyOs/CFirdk3I6z90mZoEb8jrP3SZmgRvyOs/c4HLY83I6z9zgctjzcjrP/AzLhwIyes/8DMuHAjJ6z8HKA01CsnrPwcoDTUKyes/6rDCLR/J6z/qsMItH8nrPwCN0qV/yes/AI3SpX/J6z8c7E0MycnrPxzsTQzJyes/cTlegejJ6z9xOV6B6MnrP2u28pL/yes/a7bykv/J6z+qDyTvHMrrP6oPJO8cyus/Sbw8nSvK6z9JvDydK8rrP1otsMdEyus/Wi2wx0TK6z/i5elcUcrrP+Ll6VxRyus/tOVciqvK6z+05VyKq8rrP5huEoPAyus/mG4Sg8DK6z+o34Wt2crrP6jfha3Zyus/ndmu0AfL6z+d2a7QB8vrPx8PfXcry+s/Hw99dyvL6z/xDvCkhcvrP/EO8KSFy+s/yZHOwMjL6z/Jkc7AyMvrPw1uawvPy+s/DW5rC8/L6z9oPudu18vrP2g+527Xy+s/fzLGh9nL6z9/MsaH2cvrP6aXGMv0y+s/ppcYy/TL6z/C9pMxPszrP8L2kzE+zOs/B9MwfETM6z8H0zB8RMzrP2KjrN9MzOs/YqOs30zM6z/7zFmfcszrP/vMWZ9yzOs/Brth26LM6z8Gu2HboszrP9NPOLu1zOs/0084u7XM6z9VhQZi2czrP1WFBmLZzOs/3j1A9+XM6z/ePUD35czrP9i61Aj9zOs/2LrUCP3M6z+lT6voD83rP6VPq+gPzes/xjGSPULN6z/GMZI9Qs3rP5PGaB1Vzes/k8ZoHVXN6z+7K7tgcM3rP7sru2Bwzes/7X4V4LvN6z/tfhXgu83rP8uEX+rnzes/y4Rf6ufN6z8DWyVYHM7rPwNbJVgczus/z9csl43O6z/P1yyXjc7rPzsZHCWvzus/OxkcJa/O6z+9NhsrMc/rP702Gysxz+s/1Cr6QzPP6z/UKvpDM8/rPwwBwLFnz+s/DAHAsWfP6z8j9Z7Kac/rPyP1nsppz+s/Z7lsdM7P6z9nuWx0zs/rP6USntDrz+s/pRKe0OvP6z+wAKYMHNDrP7AApgwc0Os/C9EhcCTQ6z8L0SFwJNDrP+9Z12g50Os/71nXaDnQ6z/p1mt6UNDrP+nWa3pQ0Os/VACMZ9DQ6z9UAIxn0NDrP4HoSZnU0Os/gehJmdTQ6z9OfSB559DrP059IHnn0Os/ZXH/kenQ6z9lcf+R6dDrP7Q7pBgg0es/tDukGCDR6z83cXK/Q9HrPzdxcr9D0es/ZFkw8UfR6z9kWTDxR9HrP78prFRQ0es/vymsVFDR6z9e1sQCX9HrP17WxAJf0es/gLirV5HR6z+AuKtXkdHrP9uIJ7uZ0es/24gnu5nR6z/biCe7mdHrP9uIJ7uZ0es/opqSrMPR6z+impKsw9HrP7h2oiQk0us/uHaiJCTS6z8qO/2gLtLrPyo7/aAu0us/rHDLR1LS6z+scMtHUtLrP9pYiXlW0us/2liJeVbS6z8eNSbEXNLrPx41JsRc0us/inYVUn7S6z+KdhVSftLrP85SspyE0us/zlKynITS6z8dHVcju9LrPx0dVyO70us/+yKhLefS6z/7IqEt59LrP1BwsaIG0+s/UHCxogbT6z99WG/UCtPrP31Yb9QK0+s/ti41Qj/T6z+2LjVCP9PrP80iFFtB0+s/zSIUW0HT6z8o84++SdPrPyjzj75J0+s/Pudu10vT6z8+527XS9PrP8efqGxY0+s/x5+obFjT6z9mTMEaZ9PrP2ZMwRpn0+s/7gT7r3PT6z/uBPuvc9PrPwX52ch10+s/BfnZyHXT6z/MCkW6n9PrP8wKRbqf0+s/jZlEveDT6z+NmUS94NPrPybD8XwG1Os/JsPxfAbU6z/yP/m7d9TrP/I/+bt31Os//S0B+KfU6z/9LQH4p9TrP15pGan31Os/XmkZqffU6z9Y5q26DtXrP1jmrboO1es/f0sA/inV6z9/SwD+KdXrP1fO3hlt1es/V87eGW3V6z/2evfHe9XrP/Z698d71es/ww/Op47V6z/DD86njtXrPzXUKCSZ1es/NdQoJJnV6z+mmIOgo9XrP6aYg6Cj1es/L1G9NbDV6z8vUb01sNXrPynOUUfH1es/Kc5RR8fV6z9Wtg95y9XrP1a2D3nL1es/m5Ksw9HV6z+bkqzD0dXrP2cng6Pk1es/ZyeDo+TV6z9nJ4Oj5NXrP2cng6Pk1es/NLxZg/fV6z80vFmD99XrP7fxJyob1us/t/EnKhvW6z/eVnptNtbrP95Wem021us/wt8vZkvW6z/C3y9mS9brP0qYaftX1us/Sphp+1fW6z8AOWHCaNbrPwA5YcJo1us/g24vaYzW6z+Dbi9pjNbrP2B0eXO41us/YHR5c7jW6z8WFXE6ydbrPxYVcTrJ1us/n82qz9XW6z+fzarP1dbrP/mdJjPe1us/+Z0mM97W6z+ZSj/h7NbrP5lKP+Hs1us/fNP02QHX6z980/TZAdfrPwWMLm8O1+s/BYwubw7X6z+kOEcdHdfrP6Q4Rx0d1+s/IOup1VfX6z8g66nVV9frPxXl0viF1+s/FeXS+IXX6z8V5dL4hdfrPxXl0viF1+s/JlZGI5/X6z8mVkYjn9frP9vebkkO2Os/295uSQ7Y6z/b3m5JDtjrP9vebkkO2Os/vmckQiPY6z++ZyRCI9jrPwIs8uuH2Os/Aizy64fY6z+h2AqaltjrP6HYCpqW2Os/E51lFqHY6z8TnWUWodjrP0CFI0il2Os/QIUjSKXY6z/2JRsPttjrP/YlGw+22Os/pkOn593Y6z+mQ6fn3djrPx1znrEv2es/HXOesS/Z6z9LW1zjM9nrP0tbXOMz2es/jzf5LTrZ6z+PN/ktOtnrP4m0jT9R2es/ibSNP1HZ6z/NkCqKV9nrP82QKopX2es/P1WFBmLZ6z8/VYUGYtnrP1ZJZB9k2es/VklkH2TZ6z/19XzNctnrP/X1fM1y2es/DOpb5nTZ6z8M6lvmdNnrPx1bzxCO2es/HVvPEI7Z6z9KQ41CktnrP0pDjUKS2es/RMAhVKnZ6z9EwCFUqdnrP7aEfNCz2es/toR80LPZ6z84ukp319nrPzi6SnfX2es/dxN80/TZ6z93E3zT9NnrP2sNpfYi2us/aw2l9iLa6z9rDaX2ItrrP2sNpfYi2us/utdJfVna6z+610l9WdrrP/+z5sdf2us//7Pmx1/a6z889UiD29rrPzz1SIPb2us/8pVASuza6z/ylUBK7NrrP/cA3Zcz2+s/9wDdlzPb6z96Nqs+V9vrP3o2qz5X2+s/7PoFu2Hb6z/s+gW7YdvrP8+Du7N22+s/z4O7s3bb6z/md5rMeNvrP+Z3msx42+s/KlQ3F3/b6z8qVDcXf9vrPy+/02TG2+s/L7/TZMbb6z/8U6pE2dvrP/xTqkTZ2+s/veKpRxrc6z+94qlHGtzrP20ANiBC3Os/bQA2IELc6z/7IwwDltzrP/sjDAOW3Os/ERjrG5jc6z8RGOsbmNzrP96swfuq3Os/3qzB+6rc6z9QcRx4tdzrP1BxHHi13Os/F4OHad/c6z8Xg4dp39zrP3JTA83n3Os/clMDzefc6z9ruMg9Xd3rP2u4yD1d3es/3Xwjumfd6z/dfCO6Z93rP0m+EkiJ3es/Sb4SSInd6z/5254gsd3rP/nbniCx3es/SKZDp+fd6z9IpkOn593rP4yC4PHt3es/jILg8e3d6z+MahFRTN7rP4xqEVFM3us/b/PGSWHe6z9v88ZJYd7rPztwzojS3us/O3DOiNLe6z+Qvd798d7rP5C93v3x3us/kL3e/fHe6z+Qvd798d7rP76lnC/23us/vqWcL/be6z8vaverAN/rPy9q96sA3+s/uCIxQQ3f6z+4IjFBDd/rP/Z7Yp0q3+s/9ntinSrf6z9/NJwyN9/rP380nDI33+s/1IGsp1bf6z/UgaynVt/rP+pdvB+33+s/6l28H7ff6z8uOllqvd/rPy46WWq93+s/3lflQuXf6z/eV+VC5d/rP6vsuyL43+s/q+y7Ivjf6z+Cb5o+O+DrP4Jvmj474Os/OBCSBUzg6z84EJIFTODrP+gVTz3S4Os/6BVPPdLg6z9lyLH1DOHrP2XIsfUM4es/qaROQBPh6z+ppE5AE+HrP7+YLVkV4es/v5gtWRXh6z9qM05DVOHrP2ozTkNU4es/rg/rjVrh6z+uD+uNWuHrP4wVNZiG4es/jBU1mIbh6z+MFTWYhuHrP4wVNZiG4es/ogkUsYjh6z+iCRSxiOHrP5yGqMKf4es/nIaowp/h6z8IyJdQweHrPwjIl1DB4es/i/1l9+Th6z+L/WX35OHrP/3BwHPv4es//cHAc+/h6z9SD9HoDuLrP1IP0egO4us/HqSnyCHi6z8epKfIIeLrP4rlllZD4us/iuWWVkPi6z/ltRK6S+LrP+W1ErpL4us/hGIraFri6z+EYitoWuLrP3hEherm4us/eESF6ubi6z+lFHR7SePrP6UUdHtJ4+s/vAhTlEvj6z+8CFOUS+PrP3GpSltc4+s/calKW1zj6z+CGr6FdePrP4IavoV14+s/C9P3GoLj6z8L0/caguPrP8Fz7+GS4+s/wXPv4ZLj6z8cRGtFm+PrPxxEa0Wb4+s/SSwpd5/j6z9JLCl3n+PrP0ksKXef4+s/SSwpd5/j6z9UGjGzz+PrP1QaMbPP4+s/k3NiD+3j6z+Tc2IP7ePrPzIge7374+s/MiB7vfvj6z8yIHu9++PrPzIge7374+s/Xwg57//j6z9fCDnv/+PrP7rYtFII5Os/uti0Ugjk6z/cupunOuTrP9y6m6c65Os/Tn/2I0Xk6z9Of/YjReTrP+0rD9JT5Os/7SsP0lPk6z8DCB9KtOTrPwMIH0q05Os/orQ3+MLk6z+itDf4wuTrP1hVL7/T5Os/WFUvv9Pk6z+GPe3w1+TrP4Y97fDX5Os/DvYmhuTk6z8O9iaG5OTrPyXqBZ/m5Os/JeoFn+bk6z+RK/UsCOXrP5Er9SwI5es/GeQuwhTl6z8Z5C7CFOXrP4uoiT4f5es/i6iJPh/l6z9ortNIS+XrP2iu00hL5es/Hk/LD1zl6z8eT8sPXOXrP7dgqS7g5es/t2CpLuDl6z/I0RxZ+eXrP8jRHFn55es/DK65o//l6z8Mrrmj/+XrP6XXZmMl5us/pddmYyXm6z/TvySVKebrP9O/JJUp5us/9aEL6lvm6z/1oQvqW+brPwYTfxR15us/BhN/FHXm6z8LfhtivObrPwt+G2K85us/zAwbZf3m6z/MDBtl/ebrP+IA+n3/5us/4gD6ff/m6z+vldBdEufrP6+V0F0S5+s/qRJlbynn6z+pEmVvKefrP9F3t7JE5+s/0Xe3skTn6z/oa5bLRufrP+hrlstG5+s/QzwSL0/n6z9DPBIvT+frP2qhZHJq5+s/aqFkcmrn6z+BlUOLbOfrP4GVQ4ts5+s/r30BvXDn6z+vfQG9cOfrP8Vx4NVy5+s/xXHg1XLn6z/t1jIZjufrP+3WMhmO5+s/MbPPY5Tn6z8xs89jlOfrP4YA4Niz5+s/hgDg2LPn6z9kBirj3+frP2QGKuPf5+s/R4/f2/Tn6z9Hj9/b9OfrP4boEDgS6Os/hugQOBLo6z87iQj/IujrPzuJCP8i6Os/Un3nFyXo6z9SfecXJejrP5HWGHRC6Os/kdYYdELo6z8TDOcaZujrPxMM5xpm6Os/4KC9+njo6z/goL36eOjrP0zirIia6Os/TOKsiJro6z9i1ouhnOjrP2LWi6Gc6Os/ecpqup7o6z95ymq6nujrPwKDpE+r6Os/AoOkT6vo6z8Cg6RPq+jrPwKDpE+r6Os/oS+9/bno6z+hL739uejrP8iUD0HV6Os/yJQPQdXo6z/w+WGE8OjrP/D5YYTw6Os/8PlhhPDo6z/w+WGE8OjrPwfuQJ3y6Os/B+5AnfLo6z+9jjhkA+nrP72OOGQD6es/6nb2lQfp6z/qdvaVB+nrP0VHcvkP6es/RUdy+Q/p6z/k84qnHunrP+Tziqce6es/mpSCbi/p6z+alIJuL+nrP7GIYYcx6es/sYhhhzHp6z+UEReARunrP5QRF4BG6es/5Nu7Bn3p6z/k27sGfenrP2GOHr+36es/YY4ev7fp6z+wWMNF7unrP7BYw0Xu6es/3UCBd/Lp6z/dQIF38unrPwWm07oN6us/BabTug3q6z/Mtz6sN+rrP8y3Pqw36us/IQVPIVfq6z8hBU8hV+rrPzJ2wktw6us/MnbCS3Dq6z+/mZguxOrrP7+ZmC7E6us/1o13R8bq6z/WjXdHxurrP9aNd0fG6us/1o13R8bq6z/+8smK4errP/7yyYrh6us/JVgczvzq6z8lWBzO/OrrP8UENXwL6+s/xQQ1fAvr6z/y7PKtD+vrP/Ls8q0P6+s/kZkLXB7r6z+RmQtcHuvrPxpSRfEq6+s/GlJF8Srr6z91IsFUM+vrP3UiwVQz6+s/hpM0f0zr6z+GkzR/TOvrP7JjIxCv6+s/smMjEK/r6z9SEDy+vevrP1IQPL696+s/bVfog2Xs6z9tV+iDZezrP1DgnXx67Os/UOCdfHrs6z+rsBngguzrP6uwGeCC7Os/eEXwv5Xs6z94RfC/lezrP9MVbCOe7Os/0xVsI57s6z/kht9Nt+zrP+SG30237Os/M1GE1O3s6z8zUYTU7ezrP3ctIR/07Os/dy0hH/Ts6z+7Cb5p+uzrP7sJvmn67Os/AOZatADt6z8A5lq0AO3rP1u21hcJ7es/W7bWFwnt6z9VM2spIO3rP1Uzaykg7es/xvfFpSrt6z/G98WlKu3rP0+w/zo37es/T7D/Ojft6z9gIXNlUO3rP2Ahc2VQ7es/FsJqLGHt6z8WwmosYe3rP6PlQA+17es/o+VAD7Xt6z8UkszqHe7rPxSSzOod7us/QnqKHCLu6z9CeoocIu7rPxr9aDhl7us/Gv1oOGXu6z/xf0dUqO7rP/F/R1So7us/zm3CvTLv6z/ObcK9Mu/rP/xVgO827+s//FWA7zbv6z8pPj4hO+/rPyk+PiE77+s/Vyb8Uj/v6z9XJvxSP+/rP1cm/FI/7+s/Vyb8Uj/v6z9ol299WO/rP2iXb31Y7+s/eAjjp3Hv6z94COOnce/rP+q0boPa7+s/6rRug9rv6z8ukQvO4O/rPy6RC87g7+s/g94bQwDw6z+D3htDAPDrP4PeG0MA8Os/g94bQwDw6z8teTwtP/DrPy15PC0/8Os/xqLp7GTw6z/GounsZPDrP2ZPAptz8Os/Zk8Cm3Pw6z8y5Nh6hvDrPzLk2HqG8Os/dqimJOvw6z92qKYk6/DrP+hsAaH18Os/6GwBofXw6z9DPX0E/vDrP0M9fQT+8Os/kgciizTx6z+SByKLNPHrP531Kcdk8es/nfUpx2Tx6z+06QjgZvHrP7TpCOBm8es/U5YhjnXx6z9TliGOdfHrP5HvUuqS8es/ke9S6pLx6z/sv85Nm/HrP+y/zk2b8es/A7StZp3x6z8DtK1mnfHrPw6itaLN8es/DqK1os3x6z9X6e46G/LrP1fp7job8us/rDb/rzry6z+sNv+vOvLrP72nctpT8us/vady2lPy6z9txf6ye/LrP23F/rJ78us/OlrVko7y6z86WtWSjvLrP2hCk8SS8us/aEKTxJLy6z+sHjAPmfLrP6weMA+Z8us/04OCUrTy6z/Tg4JStPLrP1a5UPnX8us/VrlQ+dfy6z9trS8S2vLrP22tLxLa8us/3nGKjuTy6z/ecYqO5PLrP34eozzz8us/fh6jPPPy6z9Ks3kcBvPrP0qzeRwG8+s/vHfUmBDz6z+8d9SYEPPrPwBUceMW8+s/AFRx4xbz6z93g2itaPPrP3eDaK1o8+s/176AXrjz6z/XvoBeuPPrP/8j06HT8+s//yPTodPz6z/LoNrgRPTrP8ug2uBE9Os/jC/a44X06z+ML9rjhfTrP8QFoFG69Os/xAWgUbr06z8f1hu1wvTrPx/WG7XC9Os/FNBE2PD06z8U0ETY8PTrP4WUn1T79Os/hZSfVPv06z8qrFRQUfXrPyqsVFBR9es/URGnk2z16z9REaeTbPXrP0yOO6WD9es/TI47pYP16z9ighq+hfXrP2KCGr6F9es/kGrY74n16z+QatjvifXrP9RGdTqQ9es/1EZ1OpD16z8SoKaWrfXrPxKgppat9es/QIhkyLH16z9AiGTIsfXrP21wIvq19es/bXAi+rX16z94Xio25vXrP3heKjbm9es/pkboZ+r16z+mRuhn6vXrP8KlY84z9us/wqVjzjP26z/TFtf4TPbrP9MW1/hM9us/5IdKI2b26z/kh0ojZvbrP94E3zR99us/3gTfNH326z/vdVJflvbrP+91Ul+W9us/xvgwe9n26z/G+DB72fbrPzI6IAn79us/MjogCfv26z/R5ji3CffrP9HmOLcJ9+s/Q6uTMxT36z9Dq5MzFPfrP1mHo6t09+s/WYejq3T36z+0Vx8PfffrP7RXHw999+s/qFFIMqv36z+oUUgyq/frP+0t5Xyx9+s/7S3lfLH36z9I/mDguffrP0j+YOC59+s/jNr9KsD36z+M2v0qwPfrP7nCu1zE9+s/ucK7XMT36z+dS3FV2ffrP51LcVXZ9+s/yjMvh9336z/KMy+H3ffrP5FFmngH+Os/kUWaeAf46z+itg2jIPjrP6K2DaMg+Os/5pKq7Sb46z/mkqrtJvjrP3+8V61M+Os/f7xXrUz46z+QLcvXZfjrP5Aty9dl+Os/5XrbTIX46z/lettMhfjrP8OAJVex+Os/w4AlV7H46z+QFfw2xPjrP5AV/DbE+Os/Rrbz/dT46z9GtvP91PjrP6x0d50N+es/rHR3nQ356z/vOEVHcvnrP+84RUdy+es/AKq4cYv56z8Aqrhxi/nrP59W0R+a+es/n1bRH5r56z+2SrA4nPnrP7ZKsDic+es/T3Rd+MH56z9PdF34wfnrP6pE2VvK+es/qkTZW8r56z/YLJeNzvnrP9gsl43O+es/0qkrn+X56z/SqSuf5fnrP09cjlcg+us/T1yOVyD66z92weCaO/rrP3bB4Jo7+us/Jt9sc2P66z8m32xzY/rrP/JbdLLU+us/8lt0stT66z/yW3Sy1PrrP/JbdLLU+us/Xp1jQPb66z9enWNA9vrrP3WRQln4+us/dZFCWfj66z+GAraDEfvrP4YCtoMR++s/TRQhdTv76z9NFCF1O/vrP/0xrU1j++s//TGtTWP76z+z0qQUdPvrP7PSpBR0++s/4LpiRnj76z/gumJGePvrPzUIc7uX++s/NQhzu5f76z8vhQfNrvvrPy+FB82u++s/L4UHza776z8vhQfNrvvrPwcI5ujx++s/Bwjm6PH76z8Mc4I2OfzrPwxzgjY5/Os/Et4ehID86z8S3h6EgPzrP9jviXWq/Os/2O+Jdar86z99Bz9xAP3rP30HP3EA/es/78uZ7Qr96z/vy5ntCv3rPxYx7DAm/es/FjHsMCb96z9aDYl7LP3rP1oNiXss/es/td0E3zT96z+13QTfNP3rP7XdBN80/es/td0E3zT96z8nol9bP/3rPyeiX1s//es/J6JfWz/96z8nol9bP/3rP5lmutdJ/es/mWa610n96z+BWgwepv3rP4FaDB6m/es/3CqIga796z/cKoiBrv3rP07v4v24/es/Tu/i/bj96z9HVKhuLv7rP0dUqG4u/us/MEj6tIr+6z8wSPq0iv7rPyrFjsah/us/KsWOxqH+6z/P3EPC9/7rP8/cQ8L3/us/QKGePgL/6z9AoZ4+Av/rP4RlbOhm/+s/hGVs6Gb/6z/IQQkzbf/rP8hBCTNt/+s/wr6dRIT/6z/Cvp1EhP/rPxKJQsu6/+s/EolCy7r/6z8ofSHkvP/rPyh9IeS8/+s/mkF8YMf/6z+aQXxgx//rP2fWUkDa/+s/Z9ZSQNr/6z+UvhBy3v/rP5S+EHLe/+s/746M1eb/6z/vjozV5v/rPx13Sgfr/+s/HXdKB+v/6z8zaykg7f/rPzNrKSDt/+s/KGVSQxsA7D8oZVJDGwDsP2xB740hAOw/bEHvjSEA7D8cX3tmSQDsPxxfe2ZJAOw/tYgoJm8A7D+1iCgmbwDsP8x8Bz9xAOw/zHwHP3EA7D8bR6zFpwDsPxtHrMWnAOw/YCNJEK4A7D9gI0kQrgDsP2AjSRCuAOw/YCNJEK4A7D/LTGn9LQHsP8tMaf0tAew/K4iBrn0B7D8riIGufQHsP4DVkSOdAew/gNWRI50B7D/9h/Tb1wHsP/2H9NvXAew/iqvKvisC7D+Kq8q+KwLsP0s6ysFsAuw/SzrKwWwC7D+gh9o2jALsP6CH2jaMAuw/t3u5T44C7D+3e7lPjgLsP2eZRSi2Auw/Z5lFKLYC7D8dOj3vxgLsPx06Pe/GAuw/j/6Xa9EC7D+P/pdr0QLsP/s/h/nyAuw/+z+H+fIC7D8ipdk8DgPsPyKl2TwOA+w/7zmwHCED7D/vObAcIQPsP2H+CpkrA+w/Yf4KmSsD7D+kwthCkAPsP6TC2EKQA+w/J/im6bMD7D8n+KbpswPsP5M5lnfVA+w/kzmWd9UD7D+NtiqJ7APsP422KonsA+w/4gM7/gsE7D/iAzv+CwTsP5eMYyR7BOw/l4xjJHsE7D+RCfg1kgTsP5EJ+DWSBOw/Drxa7swE7D8OvFruzATsP1KY9zjTBOw/Upj3ONME7D+AgLVq1wTsP4CAtWrXBOw/qOUHrvIE7D+o5Qeu8gTsP6JinL8JBew/omKcvwkF7D87jEl/LwXsPzuMSX8vBew/CCEgX0IF7D8IISBfQgXsPx4V/3dEBew/HhX/d0QF7D+yu0BJgQXsP7K7QEmBBew/AW4WLxYG7D8BbhYvFgbsP1w+kpIeBuw/XD6Skh4G7D+JJlDEIgbsP4kmUMQiBuw/oBov3SQG7D+gGi/dJAbsP58CYDyDBuw/nwJgPIMG7D/5ugz/6QbsP/m6DP/pBuw/VIuIYvIG7D9Ui4hi8gbsP5lnJa34Buw/mWclrfgG7D+kVS3pKAfsP6RVLekoB+w/8x/Sb18H7D/zH9JvXwfsPwSRRZp4B+w/BJFFmngH7D9Z3lUPmAfsP1neVQ+YB+w/A3l2+dYH7D8DeXb51gfsPx/Y8V8gCOw/H9jxXyAI7D+LGeHtQQjsP4sZ4e1BCOw/NbQB2IAI7D81tAHYgAjsP4oBEk2gCOw/igESTaAI7D8YJegv9AjsPxgl6C/0COw/c/Vjk/wI7D9z9WOT/AjsPwwfEVMiCew/DB8RUyIJ7D9+42vPLAnsP37ja88sCew/trkxPWEJ7D+2uTE9YQnsP5S/e0eNCew/lL97R40J7D/vj/eqlQnsP++P96qVCew/csXFUbkJ7D9yxcVRuQnsP6qbi7/tCew/qpuLv+0J7D//6Js0DQrsP//omzQNCuw/Q8U4fxMK7D9DxTh/EwrsP5OP3QVKCuw/k4/dBUoK7D9fJLTlXArsP18ktOVcCuw/jQxyF2EK7D+NDHIXYQrsPyy5isVvCuw/LLmKxW8K7D9aoUj3cwrsP1qhSPdzCuw/+U1hpYIK7D/5TWGlggrsP5j6eVORCuw/mPp5U5EK7D+63GCowwrsP7rcYKjDCuw/QpWaPdAK7D9ClZo90ArsP4Duy5ntCuw/gO7Lme0K7D/bpnhcVAvsP9umeFxUC+w/CI82jlgL7D8IjzaOWAvsP0xr09heC+w/TGvT2F4L7D9H6GfqdQvsP0foZ+p1C+w/f74tWKoL7D9/vi1YqgvsP8OayqKwC+w/w5rKorAL7D8v3Lkw0gvsPy/cuTDSC+w/1PNuLCgM7D/U824sKAzsP1ysqME0DOw/XKyowTQM7D9WKT3TSwzsP1YpPdNLDOw/W5TZIJMM7D9blNkgkwzsP2aC4VzDDOw/ZoLhXMMM7D9EiCtn7wzsP0SIK2fvDOw/+igjLgAN7D/6KCMuAA3sP092M6MfDew/T3Yzox8N7D9xWBr4UQ3sP3FYGvhRDew/cVga+FEN7D9xWBr4UQ3sP6SrdHedDew/pKt0d50N7D8sZK4Mqg3sPyxkrgyqDew/kiIyrOIN7D+SIjKs4g3sP+3yrQ/rDew/7fKtD+sN7D8lyXN9Hw7sPyXJc30fDuw/R6ta0lEO7D9Hq1rSUQ7sP6J71jVaDuw/onvWNVoO7D8kmdU73A7sPySZ1TvcDuw/HhZqTfMO7D8eFmpN8w7sP0vmWN5VD+w/S+ZY3lUP7D9QUfUrnQ/sP1BR9SudD+w/sHQ+PEsQ7D+wdD48SxDsPyaMZmX7EOw/JoxmZfsQ7D+YUMHhBRHsP5hQweEFEew/3CxeLAwR7D/cLF4sDBHsPzF6bqErEew/MXpuoSsR7D/+DkWBPhHsP/4ORYE+Eew/Gm7A54cR7D8absDnhxHsP0HTEiujEew/QdMSK6MR7D9SRIZVvBHsP1JEhlW8Eew/Ribg10gS7D9GJuDXSBLsP0UOETenEuw/RQ4RN6cS7D+g3oyarxLsP6DejJqvEuw/q8yU1t8S7D+rzJTW3xLsP++oMSHmEuw/76gxIeYS7D/vqDEh5hLsP++oMSHmEuw/YW2MnfAS7D9hbYyd8BLsPz5bBwd7E+w/PlsHB3sT7D9sQ8U4fxPsP2xDxTh/E+w/C/Dd5o0T7D8L8N3mjRPsPwvw3eaNE+w/C/Dd5o0T7D/c14FzRhTsP9zXgXNGFOw/ILQevkwU7D8gtB6+TBTsP79gN2xbFOw/v2A3bFsU7D+63ct9chTsP7rdy31yFOw/hnKiXYUU7D+GcqJdhRTsP51mgXaHFOw/nWaBdocU7D/KTj+oixTsP8pOP6iLFOw/i90+q8wU7D+L3T6rzBTsP9un4zEDFew/26fjMQMV7D8IkKFjBxXsPwiQoWMHFew/H4SAfAkV7D8fhIB8CRXsP9UkeEMaFew/1SR4QxoV7D8eVOI6xhXsPx5U4jrGFew/mu51Ul8W7D+a7nVSXxbsPxah2AqaFuw/FqHYCpoW7D+2TfG4qBbsP7ZN8bioFuw/sMqFyr8W7D+wyoXKvxbsP55BQ/8EF+w/nkFD/wQX7D897lutExfsPz3uW60TF+w/fEeNCTEX7D98R40JMRfsP424ADRKF+w/jbgANEoX7D+0HVN3ZRfsP7QdU3dlF+w/D+7O2m0X7D8P7s7abRfsP8WOxqF+F+w/xY7GoX4X7D/FjsahfhfsP8WOxqF+F+w/1v85zJcX7D/W/znMlxfsP7mI78SsF+w/uYjvxKwX7D8woBfuXBjsPzCgF+5cGOw/EhH+RdAY7D8SEf5F0BjsP1BSYAFMGew/UFJgAUwZ7D8o1T4djxnsPyjVPh2PGew/bLHbZ5UZ7D9ssdtnlRnsP5QWLquwGew/lBYuq7AZ7D8+sU6V7xnsPz6xTpXvGew/Zhah2Aoa7D9mFqHYChrsP5Lmj2ltGuw/kuaPaW0a7D+/tn76zxrsP7+2fvrPGuw/A5MbRdYa7D8DkxtF1hrsP+cb0T3rGuw/5xvRPesa7D9Z4Cu69RrsP1ngK7r1Guw/D4EjgQYb7D8PgSOBBhvsP9v9KsB3G+w/2/0qwHcb7D/83xEVqhvsP/zfERWqG+w/1GLwMO0b7D/UYvAw7RvsPxgnvtpRHOw/GCe+2lEc7D8XD+85sBzsPxcP7zmwHOw/BYasbvUc7D8Fhqxu9RzsPxx6i4f3HOw/HHqLh/cc7D/dCIuKOB3sP90Ii4o4Hew/ONkG7kAd7D842QbuQB3sP//qcd9qHew//+px32od7D/icyfYfx3sP+JzJ9h/Hew/121Q+60d7D/XbVD7rR3sP0KvP4nPHew/Qq8/ic8d7D9NhXgkXh7sP02FeCReHuw/9x+ZDp0e7D/3H5kOnR7sP4DY0qOpHuw/gNjSo6ke7D8TfxR15h7sPxN/FHXmHuw/3/sbtFcf7D/f+xu0Vx/sPw3k2eVbH+w/DeTZ5Vsf7D85tMh2vh/sPzm0yHa+H+w/jukJSzwg7D+O6QlLPCDsP+M2GsBbIOw/4zYawFsg7D98YMd/gSDsP3xgx3+BIOw/tTaN7bUg7D+1No3ttSDsP9cYdELoIOw/1xh0Qugg7D9f0a3X9CDsP1/Rrdf0IOw/FFrW/WMh7D8UWtb9YyHsP28qUmFsIew/bypSYWwh7D9TswdagSHsP1OzB1qBIew/roODvYkh7D+ug4O9iSHsP4uJzce1Iew/i4nNx7Uh7D8IPDCA8CHsPwg8MIDwIew/Kh4X1SIi7D8qHhfVIiLsP+C+DpwzIuw/4L4OnDMi7D9/aydKQiLsP39rJ0pCIuw/I4PcRZgi7D8jg9xFmCLsPxh9BWnGIuw/GH0FacYi7D9tyhXe5SLsP23KFd7lIuw/5PkMqDcj7D/k+QyoNyPsP4gRwqONI+w/iBHCo40j7D/A54cRwiPsP8DnhxHCI+w/Ci/BqQ8k7D8KL8GpDyTsP7TJ4ZNOJOw/tMnhk04k7D/cLjTXaSTsP9wuNNdpJOw/v7fpz34k7D+/t+nPfiTsP5c6yOvBJOw/lzrI68Ek7D/sh9hg4STsP+yH2GDhJOw/Xkwz3esk7D9eTDPd6yTsP9r+lZUmJew/2v6VlSYl7D8kRs8tdCXsPyRGzy10Jew/lgoqqn4l7D+WCiqqfiXsP87g7xezJew/zuDvF7Ml7D8dq5Se6SXsPx2rlJ7pJew/9S1zuiwm7D/1LXO6LCbsP33mrE85Juw/feasTzkm7D/NsFHWbybsP82wUdZvJuw/KIHNOXgm7D8ogc05eCbsP8ct5ueGJuw/xy3m54Ym7D99zt2ulybsP33O3a6XJuw/2J5ZEqAm7D/YnlkSoCbsP/8DrFW7Juw//wOsVbsm7D8W+IpuvSbsPxb4im69Juw/y4CzlCwn7D/LgLOULCfsP0gzFk1nJ+w/SDMWTWcn7D/n3y77dSfsP+ffLvt1J+w/QrCqXn4n7D9CsKpefifsP7R0BduIJ+w/tHQF24gn7D8PRYE+kSfsPw9FgT6RJ+w/Az+qYb8n7D8DP6phvyfsP/27PnPWJ+w//bs+c9Yn7D8DJ9vAHSjsPwMn28AdKOw/RwN4CyQo7D9HA3gLJCjsP4vfFFYqKOw/i98UVioo7D9p5V5gVijsP2nlXmBWKOw/kEqxo3Eo7D+QSrGjcSjsP5s4ud+hKOw/mzi536Eo7D+VtU3xuCjsP5W1TfG4KOw/Hm6HhsUo7D8eboeGxSjsPwdi2cwhKew/B2LZzCEp7D94JjRJLCnsP3gmNEksKew/bSBdbFop7D9tIF1sWinsP/XYlgFnKew/9diWAWcp7D9EozuInSnsP0SjO4idKew/RKM7iJ0p7D9EozuInSnsP1UUr7K2Kew/VRSvsrYp7D8zGvm84insPzMa+bziKew/cXMqGQAq7D9xcyoZACrsP8bAOo4fKuw/xsA6jh8q7D/XMa64OCrsP9cxrrg4Kuw/r7SM1Hsq7D+vtIzUeyrsP9ycSgaAKuw/3JxKBoAq7D9I3jmUoSrsP0jeOZShKuw/X9IYraMq7D9f0hitoyrsP+eKUkKwKuw/54pSQrAq7D82PSgoRSvsPzY9KChFK+w//DbEeM0r7D/8NsR4zSvsPzqQ9dTqK+w/OpD11Oor7D+VYHE48yvsP5VgcTjzK+w/NQ2K5gEs7D81DYrmASzsPzUNiuYBLOw/NQ2K5gEs7D+9xcN7DizsP73Fw3sOLOw/GJY/3xYs7D8Ylj/fFizsPykHswkwLOw/KQezCTAs7D+E1y5tOCzsP4TXLm04LOw/zR5oBYYs7D/NHmgFhizsP7GnHf6aLOw/sacd/pos7D8ibHh6pSzsPyJseHqlLOw/nx7bMuAs7D+fHtsy4CzsP1SnA1lPLew/VKcDWU8t7D9PJJhqZi3sP08kmGpmLew/WfrQBfUt7D9Z+tAF9S3sP8u+K4L/Lew/y74rgv8t7D+tLxLaci7sP60vEtpyLuw/qKym64ku7D+orKbriS7sP8mOjUC8Luw/yY6NQLwu7D+bjgBuFi/sP5uOAG4WL+w/B9Dv+zcv7D8H0O/7Ny/sP83Ji0zAL+w/zcmLTMAv7D8iF5zB3y/sPyIXnMHfL+w/T+eKUkIw7D9P54pSQjDsP9ifxOdOMOw/2J/E504w7D/dCmE1ljDsP90KYTWWMOw/CvMeZ5ow7D8K8x5nmjDsPxtkkpGzMOw/G2SSkbMw7D8rvTYbKzHsPyu9NhsrMew/QrEVNC0x7D9CsRU0LTHsP1ml9EwvMew/WaX0TC8x7D+GjbJ+MzHsP4aNsn4zMew/D0bsE0Ax7D8PRuwTQDHsP/LOoQxVMew/8s6hDFUx7D9Nnx1wXTHsP02fHXBdMew//bypSIUx7D/9vKlIhTHsP1IKur2kMew/Ugq6vaQx7D8wEATI0DHsPzAQBMjQMew/Ko2Y2ecx7D8qjZjZ5zHsP+WYLO4/Muw/5Zgs7j8y7D8pdck4RjLsPyl1yThGMuw/f8LZrWUy7D9/wtmtZTLsP9QP6iKFMuw/1A/qIoUy7D/ZeoZwzDLsP9l6hnDMMuw/5GiOrPwy7D/kaI6s/DLsP2eeXFMgM+w/Z55cUyAz7D+OA6+WOzPsP44Dr5Y7M+w/IqrwZ3gz7D8iqvBneDPsP2aGjbJ+M+w/ZoaNsn4z7D923zE89jPsP3bfMTz2M+w/nSy13m807D+dLLXebzTsPzzB/uvcNOw/PMH+69w07D82PpP98zTsPzY+k/3zNOw/ehowSPo07D96GjBI+jTsP772zJIANew/vvbMkgA17D9jDoKOVjXsP2MOgo5WNew/m+RH/Io17D+b5Ef8ijXsP9/A5EaRNew/38DkRpE17D/7H2Ct2jXsP/sfYK3aNew/DHkEN1I27D8MeQQ3UjbsP309X7NcNuw/fT1fs1w27D8F3smnxzbsPwXeyafHNuw/HNKowMk27D8c0qjAyTbsPy1DHOviNuw/LUMc6+I27D9UqG4u/jbsP1Sobi7+Nuw/Mq64OCo37D8yrrg4KjfsP6RyE7U0N+w/pHITtTQ37D9wB+qURzfsP3AH6pRHN+w/l1RtN8E37D+XVG03wTfsPwOWXMXiN+w/A5ZcxeI37D/9EvHW+TfsP/0S8db5N+w/JXhDGhU47D8leEMaFTjsP4BIv30dOOw/gEi/fR047D9dTgmISTjsP11OCYhJOOw/5gZDHVY47D/mBkMdVjjsPxhanZyhOOw/GFqdnKE47D9dNjrnpzjsP102OuenOOw/32sIjss47D/fawiOyzjsP/Dce7jkOOw/8Nx7uOQ47D+9cVKY9zjsP71xUpj3OOw/ie5Z12g57D+J7lnXaDnsP5TcYROZOew/lNxhE5k57D8tBg/TvjnsPy0GD9O+Oew/zLIngc057D/MsieBzTnsP8GsUKT7Oew/waxQpPs57D9a1v1jITrsP1rW/WMhOuw/ryMO2UA67D+vIw7ZQDrsP/P/qiNHOuw/8/+qI0c67D/z59uCpTrsP/Pn24KlOuw/INCZtKk67D8g0Jm0qTrsP/hSeNDsOuw/+FJ40Ow67D88F0Z6UTvsPzwXRnpRO+w/xM9/D1477D/Ez38PXjvsP2N8mL1sO+w/Y3yYvWw77D81fAvrxjvsPzV8C+vGO+w/vTRFgNM77D+9NEWA0zvsP3PVPEfkO+w/c9U8R+Q77D9bsb/snjzsP1uxv+yePOw/oI1cN6U87D+gjVw3pTzsPyhGlsyxPOw/KEaWzLE87D/S4La28DzsP9LgtrbwPOw/+kUJ+gs97D/6RQn6Cz3sP0kQroBCPew/SRCugEI97D+k4CnkSj3sP6TgKeRKPew/k1fnGJA97D+TV+cYkD3sP0j43t+gPew/SPje36A97D8Jh97i4T3sPwmH3uLhPew/24ZREDw+7D/bhlEQPD7sPyBj7lpCPuw/IGPuWkI+7D/s98Q6VT7sP+z3xDpVPuw/swkwLH8+7D+zCTAsfz7sP6cDWU+tPuw/pwNZT60+7D/8UGnEzD7sP/xQacTMPuw/aJJYUu4+7D9oklhS7j7sPwc/cQD9Puw/Bz9xAP0+7D/OOA1RhT/sP844DVGFP+w/LnQlAtU/7D8udCUC1T/sP4lEoWXdP+w/iUShZd0/7D8QzTy5pkDsPxDNPLmmQOw/PbX66qpA7D89tfrqqkDsP1+X4T/dQOw/X5fhP91A7D/L2NDN/kDsP8vY0M3+QOw/s7RTc7lB7D+ztFNzuUHsPzttjQjGQew/O22NCMZB7D9pVUs6ykHsP2lVSzrKQew/lj0JbM5B7D+WPQlszkHsPwgCZOjYQew/CAJk6NhB7D8wZ7Yr9EHsPzBntiv0Qew/hbTGoBNC7D+FtMagE0LsP3MrhNVYQuw/cyuE1VhC7D/O+/84YULsP877/zhhQuw/5NcPscFC7D/k1w+xwULsP2GKcmn8Quw/YYpyafxC7D9seHqlLEPsP2x4eqUsQ+w/VFT9SudD7D9UVP1K50PsPzfdskP8Q+w/N92yQ/xD7D9SDJBoAkXsP1IMkGgCRew/H6FmSBVF7D8foWZIFUXsP2N9A5MbRew/Y30DkxtF7D907na9NEXsP3Tudr00Rew/odY07zhF7D+h1jTvOEXsP2jon+BiRew/aOif4GJF7D8HlbiOcUXsPweVuI5xRew/KXef46NF7D8pd5/jo0XsP6uUnuklRuw/q5Se6SVG7D8X1o13R0bsPxfWjXdHRuw/cqYJ209G7D9ypgnbT0bsP812hT5YRuw/zXaFPlhG7D9EpnwIqkbsP0SmfAiqRuw/mfOMfclG7D+Z84x9yUbsP8xG5/wUR+w/zEbn/BRH7D/RsYNKXEfsP9Gxg0pcR+w/Jv+Tv3tH7D8m/5O/e0fsPw7z5QXYR+w/DvPlBdhH7D/xS/28qUjsP/FL/bypSOw/TBx5ILJI7D9MHHkgskjsP2IQWDm0SOw/YhBYObRI7D/ryJHOwEjsP+vIkc7ASOw/bf5fdeRI7D9t/l915EjsP47Idyl1Sew/jsh3KXVJ7D9bXU4JiEnsP1tdTgmISew/clEtIopJ7D9yUS0iiknsPwt72uGvSew/C3va4a9J7D9rtvKS/0nsP2u28pL/Sew/OEvJchJK7D84S8lyEkrsPxZRE30+Suw/FlETfT5K7D+1/SsrTUrsP7X9KytNSuw/FTlE3JxK7D8VOUTcnErsP1kV4SajSuw/WRXhJqNK7D/nOLcJ90rsP+c4twn3Suw/PIbHfhZL7D88hsd+FkvsPx8PfXcrS+w/Hw99dytL7D/Vr3Q+PEvsP9WvdD48S+w/8Q7wpIVL7D/xDvCkhUvsP6EsfH2tS+w/oSx8fa1L7D/x9iAE5EvsP/H2IATkS+w//OQoQBRM7D/85ChAFEzsP2cmGM41TOw/ZyYYzjVM7D/TZwdcV0zsP9NnB1xXTOw/zeSbbW5M7D/N5JttbkzsP1ad1QJ7TOw/Vp3VAntM7D8AOPbsuUzsPwA49uy5TOw/J4V5jzNN7D8nhXmPM03sP6Q33EduTew/pDfcR25N7D/Alleut03sP8CWV663Tew//te5aTNO7D/+17lpM07sP2+cFOY9Tuw/b5wU5j1O7D81lrA2xk7sPzWWsDbGTuw/w7mGGRpP7D/DuYYZGk/sP/GhREseT+w/8aFESx5P7D9z1xLyQU/sP3PXEvJBT+w/zY+/tKhP7D/Nj7+0qE/sP9P6WwLwT+w/0/pbAvBP7D/ja88sCVDsP+NrzywJUOw/sACmDBxQ7D+wAKYMHFDsP+NTAIxnUOw/41MAjGdQ7D8+JHzvb1DsPz4kfO9vUOw/86ykFd9Q7D/zrKQV31DsPytrm+JxUew/K2ub4nFR7D/4/3HChFHsP/j/ccKEUew/R8oWSbtR7D9HyhZJu1HsP/1qDhDMUew//WoOEMxR7D/EfHkB9lHsP8R8eQH2Uew/Ef+wpUdT7D8R/7ClR1PsP4KrPIGwU+w/gqs8gbBT7D/RdeEH51PsP9F14QfnU+w/JsPxfAZU7D8mw/F8BlTsP7ppM05DVOw/umkzTkNU7D8sLo7KTVTsPywujspNVOw/y9qmeFxU7D/L2qZ4XFTsP4F7nj9tVOw/gXueP21U7D+MaaZ7nVTsP4xppnudVOw/xD9s6dFU7D/EP2zp0VTsPwgcCTTYVOw/CBwJNNhU7D8H7GrylFXsPwfsavKUVew/HuBJC5dV7D8e4EkLl1XsP3mwxW6fVew/ebDFbp9V7D+8dJMYBFbsP7x0kxgEVuw/EsKjjSNW7D8SwqONI1bsPxLCo40jVuw/EsKjjSNW7D/NzTeie1bsP83NN6J7Vuw/g24vaYxW7D+Dbi9pjFbsP5liDoKOVuw/mWIOgo5W7D/jqUca3FbsP+OpRxrcVuw/a2KBr+hW7D9rYoGv6FbsPzJ07KASV+w/MnTsoBJX7D8EdF/ObFfsPwR0X85sV+w/MVwdAHFX7D8xXB0AcVfsPyZWRiOfV+w/JlZGI59X7D+ADvPlBVjsP4AO8+UFWOw/WJHRAUlY7D9YkdEBSVjsP1IOZhNgWOw/Ug5mE2BY7D908ExokljsP3TwTGiSWOw/ARQjS+ZY7D8BFCNL5ljsP4RJ8fEJWew/hEnx8QlZ7D9F2PD0SlnsP0XY8PRKWew/t5xLcVVZ7D+3nEtxVVnsP+NsOgK4Wew/42w6ArhZ7D/H9e/6zFnsP8f17/rMWew/ggGEDyVa7D+CAYQPJVrsP1qEYitoWuw/WoRiK2ha7D+Y3ZOHhVrsP5jdk4eFWuw/1h72QgFb7D/WHvZCAVvsP5wwYTQrW+w/nDBhNCtb7D9Hy4EealvsP0fLgR5qW+w/opv9gXJb7D+im/2BclvsP24w1GGFW+w/bjDUYYVb7D95HtydtVvsP3ke3J21W+w/bQA2IEJc7D9tADYgQlzsP/sjDAOWXOw/+yMMA5Zc7D/HoBNCB13sP8egE0IHXew/zAuwj05d7D/MC7CPTl3sP4GU2LW9Xew/gZTYtb1d7D8VOxqH+l3sPxU7Gof6Xew/Ky/5n/xd7D8rL/mf/F3sP035EFSNXuw/TfkQVI1e7D8ZjuczoF7sPxmO5zOgXuw/i1JCsKpe7D+LUkKwql7sP7g6AOKuXuw/uDoA4q5e7D8OiBBXzl7sPw6IEFfOXuw/ppnudVJf7D+mme51Ul/sP7GH9rGCX+w/sYf2sYJf7D/C+Gncm1/sP8L4adybX+w/vHX+7bJf7D+8df7tsl/sPz+rzJTWX+w/P6vMlNZf7D/dJ0cBomDsP90nRwGiYOw/qbwd4bRg7D+pvB3htGDsPwr4NZIEYew/Cvg1kgRh7D834PPDCGHsPzfg88MIYew/GmmpvB1h7D8aaam8HWHsP7+AXrhzYew/v4BeuHNh7D8DXfsCemHsPwNd+wJ6Yew/K8JNRpVh7D8rwk1GlWHsP0chyazeYew/RyHJrN5h7D/OwTOhSWLsP87BM6FJYuw/aOvgYG9i7D9o6+Bgb2LsP5ombD8ZY+w/miZsPxlj7D+NCMbBpWPsP40IxsGlY+w/MiB7vftj7D8yIHu9+2PsP4dtizIbZOw/h22LMhtk7D8a/P1itmTsPxr8/WK2ZOw/i8BY38Bk7D+LwFjfwGTsPzZbecn/ZOw/Nlt5yf9k7D/PhCaJJWXsP8+EJoklZew/kBMmjGZl7D+QEyaMZmXsP737471qZew/vfvjvWpl7D/f3coSnWXsP9/dyhKdZew/Z341Bwhm7D9nfjUHCGbsP0oH6/8cZuw/Sgfr/xxm7D+a0Y+GU2bsP5rRj4ZTZuw/BhN/FHVm7D8GE38UdWbsP/n02JYBZ+w/+fTYlgFn7D8hWivaHGfsPyFaK9ocZ+w/X7NcNjpn7D9fs1w2OmfsP54MjpJXZ+w/ngyOkldn7D8xs89jlGfsPzGzz2OUZ+w/qOLGLeZn7D+o4sYt5mfsP0eP39v0Z+w/R4/f2/Rn7D9eg7709mfsP16DvvT2Z+w/hLhy9s5o7D+EuHL2zmjsP99wH7k1aew/33AfuTVp7D/C+dSxSmnsP8L51LFKaew/NL4vLlVp7D80vi8uVWnsP0qyDkdXaew/SrIOR1dp7D8XR+UmamnsPxdH5SZqaew/78nDQq1p7D/vycNCrWnsP91AgXfyaew/3UCBd/Jp7D9vtyQH7GrsP2+3JAfsauw/7GmHvyZr7D/saYe/JmvsPxpSRfEqa+w/GlJF8Spr7D9Bn8iTpGvsP0GfyJOka+w/V3vYCwVs7D9Xe9gLBWzsP7Ezhc5rbOw/sTOFzmts7D/ZmNcRh2zsP9mY1xGHbOw/IuAQqtRs7D8i4BCq1GzsPxbaOc0Cbew/Fto5zQJt7D9DqiheZW3sP0OqKF5lbew/CryTT49t7D8KvJNPj23sPyGwcmiRbew/IbByaJFt7D8PJzCd1m3sPw8nMJ3Wbew/MQkX8ghu7D8xCRfyCG7sPyUDQBU3buw/JQNAFTdu7D9BSuza3m7sP0FK7Nrebuw/1PAtrBtv7D/U8C2sG2/sP4/8wcBzb+w/j/zBwHNv7D/OVfMckW/sP85V8xyRb+w/NBR3vMlv7D80FHe8yW/sP0rwhjQqcOw/SvCGNCpw7D9xVdl3RXDsP3FV2XdFcOw/C3+GN2tw7D8Lf4Y3a3DsP/n1Q2ywcOw/+fVDbLBw7D/+SBEZVnHsP/5IERlWcew/Ne84RUdy7D817zhFR3LsP9kG7kCdcuw/2QbuQJ1y7D8d44qLo3LsPx3jioujcuw/fh6jPPNy7D9+HqM883LsP30G1JtRc+w/fQbUm1Fz7D+q7pHNVXPsP6rukc1Vc+w/cQD9vn9z7D9xAP2+f3PsP3zuBPuvc+w/fO4E+69z7D8hBrr2BXTsPyEGuvYFdOw/SGsMOiF07D9Iaww6IXTsP7+aAwRzdOw/v5oDBHN07D8r3PKRlHTsPyvc8pGUdOw//MOWHk117D/8w5YeTXXsP6zJU1bTdew/rMlTVtN17D+3t1uSA3bsP7e3W5IDduw/9Pi9TX927D/0+L1Nf3bsP2a9GMqJduw/Zr0Yyol27D+7Cik/qXbsP7sKKT+pduw/3ewPlNt27D/d7A+U23bsP93sD5Tbduw/3ewPlNt27D8hsd09QHfsPyGx3T1Ad+w/11HVBFF37D/XUdUEUXfsPw8om3KFd+w/DyibcoV37D+5quy7InjsP7mq7LsieOw/uarsuyJ47D+5quy7InjsP6chqvBneOw/pyGq8Gd47D9dwqG3eHjsP13Cobd4eOw/vf25aMh47D+9/bloyHjsP1Gk+zkFeew/UaT7OQV57D/0o+GUuXnsP/Sj4ZS5eew/2CyXjc557D/YLJeNznnsP1piZTTyeew/WmJlNPJ57D/yW3Sy1HrsP/JbdLLUeuw/YwgAjj177D9jCACOPXvsP2/2B8pte+w/b/YHym177D9Sf73CgnvsP1J/vcKCe+w/m8b2WtB77D+bxvZa0HvsP6Exk6gXfOw/oTGTqBd87D/IluXrMnzsP8iW5esyfOw/NNjUeVR87D802NR5VHzsP41g4/p3few/jWDj+nd97D8sDfyohn3sPywN/KiGfew/yXGndLB+7D/Jcad0sH7sP0CJz51gf+w/QInPnWB/7D8djxmojH/sPx2PGaiMf+w/LgCN0qV/7D8uAI3SpX/sPz5BYrt7gOw/PkFiu3uA7D9TBaOSOoHsP1MFo5I6gew/avmBqzyB7D9q+YGrPIHsP1hwP+CBgew/WHA/4IGB7D/JBPwaSYLsP8kE/BpJguw/SyL7IMuC7D9LIvsgy4LsP0si+yDLguw/SyL7IMuC7D8ipdk8DoPsPyKl2TwOg+w/hzO/mgOE7D+HM7+aA4TsPybg10gShOw/JuDXSBKE7D83OXzSiYTsPzc5fNKJhOw/PKQYINGE7D88pBgg0YTsP12G/3QDhew/XYb/dAOF7D8IISBfQoXsPwghIF9Chew/9pfdk4eF7D/2l92Th4XsP84avK/Khew/zhq8r8qF7D8jaMwk6oXsPyNozCTqhew/SrVPx2OG7D9KtU/HY4bsP6Rt/InKhuw/pG38icqG7D9aDvRQ24bsP1oO9FDbhuw/TwgddAmH7D9PCB10CYfsP4xJfy+Fh+w/jEl/L4WH7D+RtBt9zIfsP5G0G33Mh+w/Dk+vlGWI7D8OT6+UZYjsP/C/lezYiOw/8L+V7NiI7D8YJegv9IjsPxgl6C/0iOw/8KfGSzeJ7D/wp8ZLN4nsP6ZIvhJIiew/pki+EkiJ7D9ClZo90IrsP0KVmj3Qiuw/DypxHeOK7D8PKnEd44rsP3kj88gfjOw/eSPzyB+M7D+P/wJBgIzsP4//AkGAjOw/bO19qgqN7D9s7X2qCo3sP0nzx7Q2jew/SfPHtDaN7D9J2/gTlY3sP0nb+BOVjew/davnpPeN7D91q+ek943sP+za3m5Jjuw/7NrebkmO7D+GBIwub47sP4YEjC5vjuw/XYdqSrKO7D9dh2pKso7sP9o5zQLtjuw/2jnNAu2O7D/ZIf5hS4/sP9kh/mFLj+w/9YB5yJSP7D/1gHnIlI/sPzpdFhObj+w/Ol0WE5uP7D8mjGZl+5DsPyaMZmX7kOw/r0Sg+geR7D+vRKD6B5HsP+caZmg8kew/5xpmaDyR7D9MqUvGMZLsP0ypS8Yxkuw/j1VKz/SS7D+PVUrP9JLsPy3SxDvAk+w/LdLEO8CT7D/8icqGNZXsP/yJyoY1lew/lZuopbmV7D+Vm6iluZXsP+m4GtmVluw/6bga2ZWW7D+fWRKgppbsP59ZEqCmluw/qS9LOzWX7D+pL0s7NZfsP8AjKlQ3l+w/wCMqVDeX7D91rFJ6ppfsP3WsUnqml+w/ev8fJ0yY7D96/x8nTJjsPyNqos9Hmew/I2qiz0eZ7D+Ok8K8x5nsP46TwrzHmew/0m9fB86Z7D/Sb18HzpnsPzSeCOI8nOw/NJ4I4jyc7D/7r3PTZpzsP/uvc9NmnOw/T+W0p+Sc7D9P5bSn5JzsP9ECtK1mnew/0QK0rWad7D/mriXkg57sP+auJeSDnuw/Sz0LQnmf7D9LPQtCeZ/sP2Ix6lp7n+w/YjHqWnuf7D8QBwlRvqDsPxAHCVG+oOw/CoSdYtWg7D8KhJ1i1aDsP4pZL4Zyouw/ilkvhnKi7D+DpiVWRqPsP4OmJVZGo+w/3EYDeAuk7D/cRgN4C6TsP7k0fuGVpOw/uTR+4ZWk7D9HWFTE6aTsP0dYVMTppOw/aCJseHql7D9oImx4eqXsP4nsgywLpuw/ieyDLAum7D+vITgu46bsP68hOC7jpuw/ZapgVFKn7D9lqmBUUqfsP4Z0eAjjp+w/hnR4COOn7D8lIZG28afsPyUhkbbxp+w/Y3rCEg+o7D9jesISD6jsP+NPVDasqew/409UNqyp7D923sZmR6rsP3bexmZHquw/0a5Cyk+q7D/RrkLKT6rsP3BbW3hequw/cFtbeF6q7D+5isVvCqvsP7mKxW8Kq+w/CFVq9kCr7D8IVWr2QKvsP2h4swbvq+w/aHizBu+r7D9cctwpHazsP1xy3CkdrOw/YcWp1sKs7D9hxanWwqzsP9j0oKAUrew/2PSgoBSt7D8tQrEVNK3sPy1CsRU0rew/RDaQLjat7D9ENpAuNq3sP2ub4nFRrew/a5vicVGt7D+q9BPObq3sP6r0E85urew/t+171F+v7D+37XvUX6/sP0T5ghYSsOw/RPmCFhKw7D+COuXRjbDsP4I65dGNsOw/FLGIYYex7D8UsYhhh7HsPwZLdQEvs+w/Bkt1AS+z7D8XvOgrSLPsPxe86CtIs+w/R8fVyK607D9Hx9XIrrTsP3+FzJVBtew/f4XMlUG17D/U0twKYbXsP9TS3Aphtew/W1t4Xiq27D9bW3heKrbsP+8Bui9ntuw/7wG6L2e27D+g4jjwarnsP6DiOPBquew/d2UXDK657D93ZRcMrrnsP+kpcoi4uew/6SlyiLi57D/SHcTOFLrsP9IdxM4Uuuw/ZKw2/6+67D9krDb/r7rsP6mI00m2uuw/qYjTSba67D/+1eO+1brsP/7V477Vuuw/MCk+PiG77D8wKT4+IbvsP0cFTraBu+w/RwVOtoG77D/12mysxLzsP/XabKzEvOw/6dSVz/K87D/p1JXP8rzsP6lLxjGSvew/qUvGMZK97D898gcDz73sPz3yBwPPvew/kQ96Nqu+7D+RD3o2q77sPxiYFYp0v+w/GJgVinS/7D8//WfNj7/sPz/9Z82Pv+w/Ps3Ji0zA7D8+zcmLTMDsPz7NyYtMwOw/Ps3Ji0zA7D+Nl24Sg8DsP42XbhKDwOw/IT6w47/A7D8hPrDjv8DsP+G04EVfwew/4bTgRV/B7D9QGf8+48LsP1AZ/z7jwuw/14nL8QrE7D/XicvxCsTsP9DukGKAxOw/0O6QYoDE7D/Eew4sR8jsP8R7DixHyOw/1eyBVmDI7D/V7IFWYMjsP3OBy2PNyOw/c4HLY83I7D9RhxVu+cjsP1GHFW75yOw/8DMuHAjJ7D/wMy4cCMnsP2u28pL/yew/a7bykv/J7D9cOBCSBczsP1w4EJIFzOw/mnlyTYHM7D+aeXJNgczsP5/kDpvIzOw/n+QOm8jM7D8J3pBGBc7sPwnekEYFzuw/9iSwOQfP7D/2JLA5B8/sP9LijGFO0Ow/0uKMYU7Q7D/LR1LSw9DsP8tHUtLD0Ow/1h2LbVLR7D/WHYttUtHsP4ums5PB0ew/i6azk8HR7D9XI7vSMtLsP1cju9Iy0uw/Su1FtB3T7D9K7UW0HdPsP0IibeNP1Ow/QiJt40/U7D9uwr0yb9XsP27CvTJv1ew/Hch6avXV7D8dyHpq9dXsP6aAtP8B1uw/poC0/wHW7D+8dJMYBNbsP7x0kxgE1uw/WvENhc/W7D9a8Q2Fz9bsP1rxDYXP1uw/WvENhc/W7D8+esN95NbsPz56w33k1uw/mUo/4ezW7D+ZSj/h7NbsP4Emwoan1+w/gSbChqfX7D+t9rAXCtjsP632sBcK2Ow/RfC/lezY7D9F8L+V7NjsPycxCKwc2uw/JzEIrBza7D+pTgeyntrsP6lOB7Ke2uw/549pbRrb7D/nj2ltGtvsP9/cXz3u2+w/39xfPe7b7D+vfJbnwd3sP698lufB3ew/JZS+EHLe7D8llL4Qct7sP8mrcwzI3uw/yatzDMje7D9Aw5s1eN/sP0DDmzV43+w/32+044bf7D/fb7Tjht/sP0qZ1NAG4Ow/SpnU0Abg7D/zGyYapODsP/MbJhqk4Ow/8wNXeQLh7D/zA1d5AuHsP2XIsfUM4ew/Zcix9Qzh7D9pG3+isuHsP2kbf6Ky4ew/xOv6Bbvh7D/E6/oFu+HsP3lcVIuI4uw/eVxUi4ji7D+3tYXnpeLsP7e1heel4uw/BVCMLJnj7D8FUIwsmePsP7rYtFII5Ow/uti0Ugjk7D+v0t11NuTsP6/S3XU25Ow/YhOZucDl7D9iE5m5wOXsP/esa7Qc6Ow/96xrtBzo7D9x/5Hp0OnsP3H/kenQ6ew/U0Da/wDr7D9TQNr/AOvsP7jmjv6X6+w/uOaO/pfr7D9SflLt0/HsP1J+Uu3T8ew/oBhZMsfy7D+gGFkyx/LsP2CPiZRm8+w/YI+JlGbz7D+7Cik/qfbsP7sKKT+p9uw/+DO8WYP37D/4M7xZg/fsPwHChxIt+ew/AcKHEi357D/6Dn7iAPrsP/oOfuIA+uw/HF97ZkkA7T8cX3tmSQDtP+v+sRAdAu0/6/6xEB0C7T8pQBTMmALtPylAFMyYAu0/WTMyyF0E7T9ZMzLIXQTtP50PzxJkBO0/nQ/PEmQE7T8JpwUv+grtPwmnBS/6Cu0/pfPhWYIM7T+l8+FZggztPzKSPULNEO0/MpI9Qs0Q7T+V8IRefxLtP5XwhF5/Eu0/7BhXXBwV7T/sGFdcHBXtP9l3RfC/Fe0/2XdF8L8V7T+2TfG4qBbtP7ZN8bioFu0/3bJD/MMW7T/dskP8wxbtP0jcY+lDF+0/SNxj6UMX7T/hmGVPAhvtP+GYZU8CG+0/QKTfvg4c7T9ApN++DhztPzmc+dUcIO0/OZz51Rwg7T/mBG1y+CTtP+YEbXL4JO0/Pl3dsdgm7T8+Xd2x2CbtP6w8gbBTLO0/rDyBsFMs7T8T7pV5qy7tPxPulXmrLu0/TmIQWDk07T9OYhBYOTTtP4WzW8tkOO0/hbNby2Q47T9bmfBL/TztP1uZ8Ev9PO0/ByeiX1s/7T8HJ6JfWz/tP0GbHD7pRO0/QZscPulE7T/iIvd0dUftP+Ii93R1R+0/aJPDJ51I7T9ok8MnnUjtP/ipKjQQS+0/+KkqNBBL7T/yJr9FJ0vtP/Imv0UnS+0/FqdaC7NQ7T8Wp1oLs1DtP+s3E9OFWO0/6zcT04VY7T++amXCL3XtP75qZcIvde0/EXNJ1XaT7T8Rc0nVdpPtPydPWU3Xk+0/J09ZTdeT7T/JVwIpsevtP8lXAimx6+0/OpLLf0i/7j86kst/SL/uPw==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[8000]},\"y\":{\"__ndarray__\":\"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5HtfD81Xuw/ke18PzVe7D/HSzeJQWDsP8dLN4lBYOw//Knx0k1i7D/8qfHSTWLsPzEIrBxaZOw/MQisHFpk7D9mZmZmZmbsP2ZmZmZmZuw/nMQgsHJo7D+cxCCwcmjsP9Ei2/l+auw/0SLb+X5q7D8GgZVDi2zsPwaBlUOLbOw/O99PjZdu7D8730+Nl27sP3E9CtejcOw/cT0K16Nw7D+mm8QgsHLsP6abxCCwcuw/2/l+arx07D/b+X5qvHTsPxBYObTIduw/EFg5tMh27D9GtvP91HjsP0a28/3UeOw/exSuR+F67D97FK5H4XrsP7ByaJHtfOw/sHJoke187D/l0CLb+X7sP+XQItv5fuw/Gy/dJAaB7D8bL90kBoHsP1CNl24Sg+w/UI2XbhKD7D+F61G4HoXsP4XrUbgehew/ukkMAiuH7D+6SQwCK4fsP/Cnxks3iew/8KfGSzeJ7D8lBoGVQ4vsPyUGgZVDi+w/WmQ730+N7D9aZDvfT43sP4/C9Shcj+w/j8L1KFyP7D/FILByaJHsP8UgsHJokew/+n5qvHST7D/6fmq8dJPsPy/dJAaBlew/L90kBoGV7D9kO99PjZfsP2Q730+Nl+w/mpmZmZmZ7D+amZmZmZnsP8/3U+Olm+w/z/dT46Wb7D8EVg4tsp3sPwRWDi2ynew/ObTIdr6f7D85tMh2vp/sP28Sg8DKoew/bxKDwMqh7D+kcD0K16PsP6RwPQrXo+w/2c73U+Ol7D/ZzvdT46XsPw4tsp3vp+w/Di2yne+n7D9Ei2zn+6nsP0SLbOf7qew/eekmMQis7D956SYxCKzsP65H4XoUruw/rkfhehSu7D/jpZvEILDsP+Olm8QgsOw/GQRWDi2y7D8ZBFYOLbLsP05iEFg5tOw/TmIQWDm07D+DwMqhRbbsP4PAyqFFtuw/uB6F61G47D+4HoXrUbjsP+58PzVeuuw/7nw/NV667D8j2/l+arzsPyPb+X5qvOw/WDm0yHa+7D9YObTIdr7sP42XbhKDwOw/jZduEoPA7D/D9Shcj8LsP8P1KFyPwuw/+FPjpZvE7D/4U+Olm8TsPy2yne+nxuw/LbKd76fG7D9iEFg5tMjsP2IQWDm0yOw/mG4Sg8DK7D+YbhKDwMrsP83MzMzMzOw/zczMzMzM7D8CK4cW2c7sPwIrhxbZzuw/N4lBYOXQ7D83iUFg5dDsP23n+6nx0uw/bef7qfHS7D+iRbbz/dTsP6JFtvP91Ow/16NwPQrX7D/Xo3A9CtfsPwwCK4cW2ew/DAIrhxbZ7D9CYOXQItvsP0Jg5dAi2+w/d76fGi/d7D93vp8aL93sP6wcWmQ73+w/rBxaZDvf7D/hehSuR+HsP+F6FK5H4ew/F9nO91Pj7D8X2c73U+PsP0w3iUFg5ew/TDeJQWDl7D+BlUOLbOfsP4GVQ4ts5+w/tvP91Hjp7D+28/3UeOnsP+xRuB6F6+w/7FG4HoXr7D8hsHJoke3sPyGwcmiR7ew/Vg4tsp3v7D9WDi2yne/sP4ts5/up8ew/i2zn+6nx7D/ByqFFtvPsP8HKoUW28+w/9ihcj8L17D/2KFyPwvXsPyuHFtnO9+w/K4cW2c737D9g5dAi2/nsP2Dl0CLb+ew/lkOLbOf77D+WQ4ts5/vsP8uhRbbz/ew/y6FFtvP97D8AAAAAAADtPwAAAAAAAO0/NV66SQwC7T81XrpJDALtP2q8dJMYBO0/arx0kxgE7T+gGi/dJAbtP6AaL90kBu0/1XjpJjEI7T/VeOkmMQjtPwrXo3A9Cu0/CtejcD0K7T8/NV66SQztPz81XrpJDO0/dZMYBFYO7T91kxgEVg7tP6rx0k1iEO0/qvHSTWIQ7T/fT42XbhLtP99PjZduEu0/FK5H4XoU7T8UrkfhehTtP0oMAiuHFu0/SgwCK4cW7T9/arx0kxjtP39qvHSTGO0/tMh2vp8a7T+0yHa+nxrtP+kmMQisHO0/6SYxCKwc7T8fhetRuB7tPx+F61G4Hu0/VOOlm8Qg7T9U46WbxCDtP4lBYOXQIu0/iUFg5dAi7T++nxov3STtP76fGi/dJO0/9P3UeOkm7T/0/dR46SbtPylcj8L1KO0/KVyPwvUo7T9eukkMAivtP166SQwCK+0/kxgEVg4t7T+TGARWDi3tP8l2vp8aL+0/yXa+nxov7T/+1HjpJjHtP/7UeOkmMe0/MzMzMzMz7T8zMzMzMzPtP2iR7Xw/Ne0/aJHtfD817T+e76fGSzftP57vp8ZLN+0/001iEFg57T/TTWIQWDntPwisHFpkO+0/CKwcWmQ77T89CtejcD3tPz0K16NwPe0/c2iR7Xw/7T9zaJHtfD/tP6jGSzeJQe0/qMZLN4lB7T/dJAaBlUPtP90kBoGVQ+0/EoPAyqFF7T8Sg8DKoUXtP0jhehSuR+0/SOF6FK5H7T99PzVeukntP30/NV66Se0/sp3vp8ZL7T+yne+nxkvtP+f7qfHSTe0/5/up8dJN7T8dWmQ730/tPx1aZDvfT+0/UrgehetR7T9SuB6F61HtP4cW2c73U+0/hxbZzvdT7T+8dJMYBFbtP7x0kxgEVu0/8tJNYhBY7T/y0k1iEFjtPycxCKwcWu0/JzEIrBxa7T9cj8L1KFztP1yPwvUoXO0/ke18PzVe7T+R7Xw/NV7tP8dLN4lBYO0/x0s3iUFg7T/8qfHSTWLtP/yp8dJNYu0/MQisHFpk7T8xCKwcWmTtP2ZmZmZmZu0/ZmZmZmZm7T+cxCCwcmjtP5zEILByaO0/0SLb+X5q7T/RItv5fmrtPwaBlUOLbO0/BoGVQ4ts7T8730+Nl27tPzvfT42Xbu0/cT0K16Nw7T9xPQrXo3DtP6abxCCwcu0/ppvEILBy7T/b+X5qvHTtP9v5fmq8dO0/EFg5tMh27T8QWDm0yHbtP0a28/3UeO0/Rrbz/dR47T97FK5H4XrtP3sUrkfheu0/sHJoke187T+wcmiR7XztP+XQItv5fu0/5dAi2/l+7T8bL90kBoHtPxsv3SQGge0/UI2XbhKD7T9QjZduEoPtP4XrUbgehe0/hetRuB6F7T+6SQwCK4ftP7pJDAIrh+0/8KfGSzeJ7T/wp8ZLN4ntPyUGgZVDi+0/JQaBlUOL7T9aZDvfT43tP1pkO99Pje0/j8L1KFyP7T+PwvUoXI/tP8UgsHJoke0/xSCwcmiR7T/6fmq8dJPtP/p+arx0k+0/L90kBoGV7T8v3SQGgZXtP2Q730+Nl+0/ZDvfT42X7T+amZmZmZntP5qZmZmZme0/z/dT46Wb7T/P91PjpZvtPwRWDi2yne0/BFYOLbKd7T85tMh2vp/tPzm0yHa+n+0/bxKDwMqh7T9vEoPAyqHtP6RwPQrXo+0/pHA9Ctej7T/ZzvdT46XtP9nO91Pjpe0/Di2yne+n7T8OLbKd76ftP0SLbOf7qe0/RIts5/up7T956SYxCKztP3npJjEIrO0/rkfhehSu7T+uR+F6FK7tP+Olm8QgsO0/46WbxCCw7T8ZBFYOLbLtPxkEVg4tsu0/TmIQWDm07T9OYhBYObTtP4PAyqFFtu0/g8DKoUW27T+4HoXrUbjtP7gehetRuO0/7nw/NV667T/ufD81XrrtPyPb+X5qvO0/I9v5fmq87T9YObTIdr7tP1g5tMh2vu0/jZduEoPA7T+Nl24Sg8DtP8P1KFyPwu0/w/UoXI/C7T/4U+Olm8TtP/hT46WbxO0/LbKd76fG7T8tsp3vp8btP2IQWDm0yO0/YhBYObTI7T+YbhKDwMrtP5huEoPAyu0/zczMzMzM7T/NzMzMzMztPwIrhxbZzu0/AiuHFtnO7T83iUFg5dDtPzeJQWDl0O0/bef7qfHS7T9t5/up8dLtP6JFtvP91O0/okW28/3U7T/Xo3A9CtftP9ejcD0K1+0/DAIrhxbZ7T8MAiuHFtntP0Jg5dAi2+0/QmDl0CLb7T93vp8aL93tP3e+nxov3e0/rBxaZDvf7T+sHFpkO9/tP+F6FK5H4e0/4XoUrkfh7T8X2c73U+PtPxfZzvdT4+0/TDeJQWDl7T9MN4lBYOXtP4GVQ4ts5+0/gZVDi2zn7T+28/3UeOntP7bz/dR46e0/7FG4HoXr7T/sUbgehevtPyGwcmiR7e0/IbByaJHt7T9WDi2yne/tP1YOLbKd7+0/i2zn+6nx7T+LbOf7qfHtP8HKoUW28+0/wcqhRbbz7T/2KFyPwvXtP/YoXI/C9e0/K4cW2c737T8rhxbZzvftP2Dl0CLb+e0/YOXQItv57T+WQ4ts5/vtP5ZDi2zn++0/y6FFtvP97T/LoUW28/3tPwAAAAAAAO4/AAAAAAAA7j81XrpJDALuPzVeukkMAu4/arx0kxgE7j9qvHSTGATuP6AaL90kBu4/oBov3SQG7j/VeOkmMQjuP9V46SYxCO4/CtejcD0K7j8K16NwPQruPz81XrpJDO4/PzVeukkM7j91kxgEVg7uP3WTGARWDu4/qvHSTWIQ7j+q8dJNYhDuP99PjZduEu4/30+Nl24S7j8UrkfhehTuPxSuR+F6FO4/SgwCK4cW7j9KDAIrhxbuP39qvHSTGO4/f2q8dJMY7j+0yHa+nxruP7TIdr6fGu4/6SYxCKwc7j/pJjEIrBzuPx+F61G4Hu4/H4XrUbge7j9U46WbxCDuP1TjpZvEIO4/iUFg5dAi7j+JQWDl0CLuP76fGi/dJO4/vp8aL90k7j/0/dR46SbuP/T91HjpJu4/KVyPwvUo7j8pXI/C9SjuP166SQwCK+4/XrpJDAIr7j+TGARWDi3uP5MYBFYOLe4/yXa+nxov7j/Jdr6fGi/uP/7UeOkmMe4//tR46SYx7j8zMzMzMzPuPzMzMzMzM+4/aJHtfD817j9oke18PzXuP57vp8ZLN+4/nu+nxks37j/TTWIQWDnuP9NNYhBYOe4/CKwcWmQ77j8IrBxaZDvuPz0K16NwP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q=param, style=\"staircase\", frame_height=150\n", " )\n", " for param in [\"phi\", \"gamma_\", \"sigma\"]\n", "]\n", "\n", "bokeh.io.show(bokeh.layouts.gridplot(ecdfs, ncols=1))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Marginal posteriors of two parameters and corner plots\n", "\n", "\n", "We can also plot the two-dimensional distribution (of most interest here are the parameters $\\phi$ and $\\gamma$). The simplest way to plot these is simple to plot each point, possibly with some transparency." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": {}, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ "
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\n", "" ], "text/plain": [ ":Points [phi,gamma_] (log10_phi,sigma,chain__,draw__,diverging__)" ] }, "execution_count": 15, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "6635" } }, "output_type": "execute_result" } ], "source": [ "hv.Points(df_mcmc, kdims=[(\"phi\", \"ϕ [µm]\"), (\"gamma_\", \"γ\")],).opts(\n", " alpha=0.1,\n", " size=2,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Pair plots with ArviZ\n", "\n", "We might like to do this for all pairs of plots. ArviZ enables this to be done conveniently." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "
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var_names=[\"phi\", \"gamma_\", \"sigma\"],\n", " marginals=True,\n", " backend=\"bokeh\",\n", " backend_kwargs=dict(frame_width=200, frame_height=200),\n", ");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A plot like this is often called a **corner plot**. It shows all bi- and uni-variate marginal distributions.\n", "\n", "ArviZ also offers pair two-dimensional binning in the form of a hex plot. (This does not work properly with a Bokeh backend, so we use a Matplotlib backend.)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "az.plot_pair(\n", " samples,\n", " var_names=[\"phi\", \"gamma_\", \"sigma\"],\n", " kind=\"hexbin\",\n", " marginals=True,\n", " backend=\"matplotlib\",\n", " figsize=(7, 7),\n", ");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Corner plots with bebi103\n", "\n", "Corner plots are also implemented in the bebi103 package." ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "
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Q0Cu2F92T2ZDQHS1FfvLJkNArBxaZDv3QkDqBDQRNhRDQBb7y+7JI0NA097gC5MpQ0BQ/Bhz1xJDQGN/2T15WENAi2zn+6khQ0DKMsSxLiZDQNejcD0Kb0NAjErqBDQxQ0Aj2/l+auRCQC1DHOviBkNAe4MvTKYSQ0ALJCh+jOFCQDGZKhiVLENAOwFNhA3vQkAT8kHPZi1DQGQ730+NF0NAtTf4wmQiQ0DufD81XmJDQPfkYaHWLENAVTAqqRMIQ0BcIEHxYwxDQKhXyjLEQUNAswxxrIsjQ0DmP6TfvlZDQC7/If32BUNAt2J/2T05Q0ARx7q4jT5DQJ/Nqs/VRkNAgZVDi2wHQ0C0WfW52vpCQJCg+DHmNkNAT0ATYcMbQ0AQWDm0yE5DQNqs+lxtDUNAyjLEsS4eQ0Cad5yiIylDQI2XbhKDGENAAU2EDU//QkCjI7n8hxRDQB3J5T+kF0NABhIUP8ZEQ0AcfGEyVWhDQAMJih9jXkNAO99PjZd2Q0A/NV66SQRDQEHxY8xdA0NAVcGopE7wQkDTvOMUHflCQAkbnl4p80JAG55eKcsYQ0CkcD0K1/tCQHrHKTqS80JAaJHtfD8lQ0DeAgmKH/NCQFvTvOMUBUNAEFg5tMj2QkCe76fGSz9DQDQRNjy9MkNAY3/ZPXlYQ0CWsgxxrENDQIBIv30dIENA+zpwzogyQ0B9rrZifxlDQLRZ9bna+kJAayv2l91bQ0AZc9cS8iFDQLPqc7UVA0NAyJi7lpDnQkA/NV66SfxCQHqlLEMcK0NAkDF3LSEvQ0CwA+eMKEVDQIhjXdxGM0NAYVRSJ6BBQ0AcfGEyVdhCQArXo3A9OkNAQfFjzF1TQ0CgibDh6UVDQNV46SYxUENA1xLyQc82Q0DOiNLe4GNDQKRwPQrXI0NAKH6MuWs5Q0BNFYxK6gxDQCegibDh8UJAEFg5tMjeQkDmP6Tfvg5DQO84RUdyKUNAcayL22goQ0CIhVrTvBNDQOzAOSNKA0NA/7J78rAAQ0C7Jw8LtQ5DQGZmZmZmFkNA0m9fB85ZQ0CneccpOkpDQH3Qs1n1KUNAg1FJnYAOQ0D67evAOTNDQFInoImwcUNAiUFg5dBCQ0Dn+6nx0lVDQO5aQj7oKUNAAd4CCYoPQ0DzjlN0JDdDQHEbDeAtUENAyJi7lpAXQ0BEaW/whXFDQBQ/xty1TENAIGPuWkI2Q0BJnYAmwj5DQCDSb18HVkNATRWMSur0QkCU9gZfmAxDQBpR2ht8SUNA/yH99nVYQ0AE54wo7R1DQEI+6NmsIkNAYhBYObQAQ0AvbqMBvN1CQMgHPZtVD0NAa5p3nKITQ0B56SYxCDxDQB/0bFZ97kJAeAskKH4kQ0AxmSoYlRRDQGEyVTAq+UJAOpLLf0gHQ0AMk6mCURlDQPkx5q4lHENAGw3gLZDoQkCyLm6jATRDQAyTqYJRKUNA4C2QoPgBQ0Cz6nO1FftCQNejcD0KB0NA845TdCT3QkBNhA1PrxxDQNDVVuwvE0NAvHSTGAQmQ0A0orQ3+DJDQH0/NV66CUNACRueXikLQ0Bn1edqK/ZCQFioNc077kJAjSjtDb5QQ0Aofoy5a0FDQDQRNjy9OkNA5q4l5IMuQ0DBOSNKe/NCQME5I0p780JA6SYxCKwkQ0ACK4cW2RZDQK36XG3FTkNALUMc6+IuQ0AnoImw4RFDQF5LyAc900JAdQKaCBtOQ0CYbhKDwBpDQAfwFkhQFENA7Z48LNQCQ0CTGARWDrVCQLG/7J48LENAAAAAAAAgQ0DZPXlYqB1DQNk9eVioHUNAysNCrWkOQ0AH8BZIUARDQDbNO07R4UJAnKIjufwHQ0A1XrpJDFpDQKs+V1uxb0NAH/RsVn1+Q0Ct+lxtxXZDQKmkTkATcUNAx0s3iUFwQ0CDUUmdgF5DQHQkl/+QHkNAj1N0JJcXQ0CVZYhjXRxDQDQRNjy9KkNADJOpglERQ0Dl0CLb+Q5DQHDOiNLeKENArfpcbcVWQ0DOiNLe4ONCQGq8dJMY7EJAldQJaCIcQ0AxmSoYlQRDQN/gC5OpMkNAEoPAyqFFQ0CamZmZmTlDQMRCrWneGUNA/7J78rDwQkClvcEXJutCQM/3U+OlU0NA2V92Tx4uQ0BWDi2ynTdDQLivA+eM+EJAoWez6nNFQ0Djx5i7ljBDQINRSZ2ABkNAylTBqKQeQ0AJG55eKQtDQM3MzMzMfENAeekmMQhcQ0BwXwfOGaFDQIhjXdxGc0NAbHh6pSyrQ0CaCBueXolDQBkEVg4tykNAfPKwUGuKQkDEsS5uo7FCQFCNl24So0JAgQTFjzHPQkBNhA1Pr+RCQOC+Dpwz0kJAE/JBz2YFQ0Ch+DHmrrVCQDEIrBxatEJAjZduEoNQQ0Cx4emVsjRDQAfwFkhQ9EJAiUFg5dAaQ0CUh4Va0xRDQAisHFpkE0NA5IOezaq/QkBDrWnecTpDQFZ9rrZiH0NAsp3vp8YbQ0A5RUdy+fdCQNcS8kHP9kJACmgibHhiQ0BCYOXQIitDQEI+6NmsukJAfoy5awk5Q0BDHOviNhJDQMpUwaik7kJAWDm0yHZmQ0AxmSoYlTRDQHZPHhZqDUNAnYAmwoYHQ0A/xty1hFxDQFXBqKROOENAzH9Iv31NQ0BZhjjWxQVDQINRSZ2ATkNAk6mCUUklQ0DZX3ZPHtZCQEXY8PRKAUNA0ZFc/kP6QkBPHhZqTRtDQGUZ4lgX/0JAL90kBoH1QkB4eqUsQyRDQCQofoy5G0NA8WPMXUtYQ0A2zTtO0VFDQA1xrIvbSENA+zpwzogyQ0DF/rJ78mhDQBiV1Alo+kJATDeJQWAFQ0AxmSoYlRRDQCxlGeJYF0NAcoqO5PLvQkDvycNCrWlDQDhnRGlvMENAT6+UZYhzQ0Dgvg6cMxJDQK7YX3ZPbkNAUdobfGHqQkBseHqlLANDQIofY+5aYkNAs+pztRVDQ0AKaCJseCJDQB/0bFZ9NkNASOF6FK63Q0D4U+Olm7RDQF1txf6yA0NAdnEbDeDlQkCjAbwFEvxCQAaBlUOLLENAnYAmwoZPQ0BPr5RliCNDQEdy+Q/pJ0NA54wo7Q0GQ0APC7WmeSdDQC9uowG8NUNADeAtkKCAQ0CIY13cRjtDQOCcEaW96UJATfOOU3Q0Q0Boke18P/1CQK+UZYhjRUNAj1N0JJf3QkDhC5OpgnlDQOoENBE2fENAVn2utmIfQ0Dc14FzRjxDQEMc6+I2GkNAXI/C9ShcQ0Cze/KwUOtCQDPEsS5u80JA001iEFgxQ0AdOGdEaSdDQBPyQc9mDUNAYTJVMCpZQ0DiWBe30UhDQMe6uI0GeENAEce6uI1eQ0B+jLlrCTlDQK8l5IOe/UJAbxKDwMoRQ0BIUPwYcx9DQJEPejar7kJAPzVeuknkQkDSAN4CCepCQOXQItv5LkNAXCBB8WM8Q0AT8kHPZuVCQMP1KFyPAkNAP1dbsb+EQ0AibHh6pRRDQLaEfNCzwUJA3EYDeAscQ0A+6Nms+gRDQL6fGi/dHENA7zhFR3JhQ0C28/3UeGFDQAKaCBueFkNA7MA5I0oLQ0CQoPgx5m5DQAWjkjoBBUNAcoqO5PIHQ0D2l92ThwVDQEcDeAskIENAb/CFyVRRQ0BXW7G/7M5CQLByaJHtFENA1lbsL7vnQkA9CtejcN1CQPfkYaHWBENAYcPTK2U5Q0D0/dR46fZCQAaBlUOLHENAHHxhMlUoQ0C4QILixwBDQEhQ/Bhz10JAaCJseHqtQkDy0k1iEOBCQKhXyjLEEUNApgpGJXUiQ0AoDwu1pgFDQMHKoUW2K0NAgy9MpgoOQ0BMpgpGJfVCQHWTGARW1kJAmnecoiNxQ0C7uI0G8DZDQEATYcPTQ0NAKVyPwvUQQ0AdOGdEaU9DQISezarP5UJAdQKaCBv2QkDGbTSAtyBDQCfChqdXAkNApHA9CteLQ0C1FfvL7nFDQOzAOSNKc0NArK3YX3YvQ0AfhetRuA5DQEa28/3UaENA9dvXgXM+Q0DFjzF3LVFDQERpb/CFwUJA7uvAOSMCQ0ClLEMc63JDQMZtNIC3MENAa5p3nKJTQ0D/snvysDBDQIV80LNZDUNAgEi/fR3oQkBfmEwVjEJDQOzAOSNKI0NAYqHWNO8YQ0CitDf4wgRDQL7BFyZT3UJAbxKDwMrZQkD9h/Tb1/lCQE0VjErqTENABTQRNjxNQ0CCc0aU9rZDQKUsQxzrgkNApHA9CteLQ0DEQq1p3tlCQKfoSC7/4UJAJuSDns1CQ0D4U+Olm0RDQJCg+DHmPkNA0ZFc/kPyQkDNzMzMzAxDQKvP1VbsN0NAVOOlm8RgQ0DV52or9l9DQNGRXP5DCkNAyxDHurgtQ0A1XrpJDDpDQBBYObTILkNAsHJoke0MQ0D7XG3F/hpDQIXrUbge9UJAdk8eFmr1QkC5jQbwFuBCQNGRXP5D4kJAj8L1KFw/Q0BNFYxK6kRDQEtZhjjWLUNA16NwPQoPQ0DGbTSAt+BCQEhQ/Bhzz0JAXI/C9ShUQ0A51sVtNMBCQGN/2T154EJAfT81XrrRQkCrPldbsS9DQNJvXwfOKUNAbxKDwMoBQ0Aj2/l+ajRDQDtwzojSJkNAzczMzMwkQ0DXo3A9CjdDQFr1udqKDUNApSxDHOtaQ0BcIEHxY/RCQF+YTBWMQkNAcvkP6bdvQ0CBBMWPMcdCQPwYc9cSMkNAKjqSy394Q0A2qz5XW3FDQBIUP8bcVUNAoBov3SQOQ0DKVMGopO5CQK7YX3ZP9kJA6SYxCKz8QkDdJAaBlbtCQGfV52or1kJAg8DKoUXOQkCWQ4ts55NDQABvgQTF30JAhJ7Nqs+9QkCiRbbz/RxDQAWjkjoBDUNAYHZPHhYKQ0BTliGOdRFDQHbgnBGlJUNAAiuHFtlmQ0C/fR04Z1RDQNDVVuwvw0NAUrgeheuhQ0BYObTIdrZDQCegibDhOUNAHcnlP6SvQkCgGi/dJB5DQIts5/up6UJACtejcD3yQkD7XG3F/tpCQG3n+6nxskJAkX77OnAGQ0DZPXlYqN1CQFYOLbKd30JAqz5XW7HXQkBd3EYDePNCQBTQRNjwLENAINJvXwfuQkAAkX77OvhCQA1xrIvbEENA24r9ZfcUQ0AmUwWjkjJDQCZTBaOSMkNAbAn5oGdDQ0BsCfmgZ0NDQJvmHafoQENA/yH99nUoQ0BiEFg5tABDQEjhehSuV0NAidLe4AsrQ0CL/WX35EFDQCcxCKwcKkNA1edqK/Z/Q0DOGVHaG3RDQGB2Tx4W4kJA5fIf0m+/QkBrK/aX3QNDQD0s1JrmRUNAL90kBoEdQ0DwhclUwWBDQHDOiNLecENAIv32deDUQkAIrBxaZOtCQFvTvOMU5UJAbef7qfEKQ0AE54wo7QVDQBKDwMqhBUNAM8SxLm4DQ0BR2ht8YfpCQO5aQj7oEUNAXynLEMfqQkBDrWnecTJDQPFjzF1LEENAKVyPwvXoQkDBOSNKe7NCQB+F61G41kJAaW/whcmsQ0ADCYofY4ZDQP5D+u3rgENAF9nO91NzQ0CRfvs6cIZDQJoIG55eUUNAJzEIrBz6QkCWIY51cSNDQATnjCjtDUNA6bevA+c8Q0DMXUvIBz1DQLU3+MJkGkNA3pOHhVpTQ0Ar9pfdk/dCQPwYc9cSEkNAwhcmUwUjQ0Dbiv1l9wxDQGq8dJMYPENA46WbxCCIQ0AW+8vuyQtDQFMFo5I6CUNAgZVDi2wHQ0DGbTSAt6hCQClcj8L1iENAuK8D54xwQ0DswDkjShNDQKFns+pzLUNA/Yf029dBQ0Aydy0hHzRDQILix5i7ZkNAPujZrPrkQkCKsOHplcJCQHBfB84ZAUNAio7k8h8yQ0CbVZ+rrRBDQFvTvOMUTUNAPZtVn6v1QkDkg57NqhdDQIC3QILi90JAPL1SliFGQ0CQMXctIRdDQDSAt0CCUkNA7Q2+MJnqQkDecYqO5GpDQNobfGEyTUNA48eYu5ZgQ0DmriXkgy5DQDPEsS5u80JAtMh2vp/yQkCGWtO84xRDQDojSnuD70JAylTBqKROQ0DkFB3J5S9DQHKKjuTyH0NAz/dT46UjQ0CR7Xw/NW5DQP5D+u3raENAObTIdr4nQ0Btxf6ye7JCQMDsnjwsBENAnRGlvcEfQ0B4eqUsQ8xCQCnLEMe6eENAUPwYc9diQ0D7OnDOiAJDQAtGJXUCAkNAXrpJDAIDQ0Bos+pztR1DQFMFo5I68UJA9dvXgXMOQ0C6SQwCKxdDQB04Z0RpR0NAmnecoiPBQkBLyAc9m6VCQHxhMlUw+kJARGlv8IXZQkBjf9k9edhCQCo6kst/uEJAFR3J5T8sQ0ARNjy9UnZDQPLSTWIQ2EJAMlUwKqn7QkCGyVTBqBxDQPkx5q4lFENA6pWyDHF8Q0CwcmiR7cxCQCEf9GxWVUNAtTf4wmQiQ0B5WKg1zfNCQJ+rrdhfXkNAW0I+6NkcQ0DVeOkmMThDQE3zjlN0LENAklz+Q/odQ0Ar9pfdk4dDQEaU9gZfWENADwu1pnk/Q0C9UpYhjkVDQISezarPFUNA4XoUrkfZQkAxmSoYlVxDQE8eFmpNK0NAgEi/fR1IQ0DGbTSAtwBDQATnjCjtzUJAt2J/2T35QkBFR3L5D/lCQHRGlPYGH0NA2ht8YTLtQkC2hHzQs1lDQEhQ/BhzP0NAseHplbI8Q0CcoiO5/N9CQGfV52or3kJAvjCZKhj9QkC28/3UeOlCQNbFbTSAv0JAXCBB8WMEQ0DT3uALk/FCQLN78rBQ20JAXdxGA3jbQkBwXwfOGSFDQLwFEhQ/VkNA8tJNYhBQQ0CP5PIf0kdDQF1txf6y00JANV66SQy6QkBn1edqK1ZDQF66SQwCs0JACyQofozhQkDKw0KtaR5DQMoyxLEuZkNADr4wmSp4Q0DwhclUwdhCQHbgnBGlvUJAirDh6ZUaQ0CKsOHplRpDQCcxCKwcOkNAi/1l9+QxQ0Dc14FzRgRDQJqZmZmZAUNA8kHPZtV3Q0CZKhiV1FlDQOCcEaW9cUNAi/1l9+Q5Q0AMAiuHFjlDQCo6kst/MENAGQRWDi0qQ0BVwaikTvhCQGpN845T7EJA8KfGSzchQ0BmZmZmZg5DQLsnDwu19kJAC0YldQLiQkCvlGWIY61CQBzr4jYayEJA07zjFB25QkDHKTqSyz9DQG3n+6nxSkNAM8SxLm7jQkBUUiegifBCQKCJsOHpvUJA8IXJVMEYQ0A17zhFRzpDQBueXinLIENAOPjCZKooQ0AYJlMFo0pDQKRwPQrXe0NAS1mGONZFQ0DdtYR80PNCQPvL7snDykJAio7k8h/iQkAc6+I2GlhDQM07TtGRzEJAG55eKctwQ0ALJCh+jBFDQBTQRNjwPENATYQNT68cQ0AB3gIJii9DQEI+6NmsMkNAXCBB8WMMQ0AhH/RsVk1DQA+cM6K0/0JAgSbChqdfQ0AwTKYKRjVDQEtZhjjWNUNAS1mGONY1Q0AzMzMzMytDQJjdk4eFakNA3+ALk6lyQ0BoImx4enVDQJCg+DHmNkNAB1+YTBUMQ0CASL99HRhDQEATYcPTO0NAPSzUmuYtQ0B88rBQa/pCQOAtkKD4yUJA9P3UeOn2QkAtIR/0bP5CQMSxLm6j2UJAKjqSy39QQ0AN4C2QoFhDQPFjzF1LeENAvw6cM6JcQ0CEns2qz9VCQDhnRGlvMENADeAtkKAoQ0CNl24SgzhDQCfChqdXAkNArWnecYoeQ0C30QDeAjlDQHRGlPYGN0NAGXPXEvIZQ0Ag0m9fB95CQHKKjuTy50JAFD/G3LUkQ0CitDf4wjRDQEi/fR04B0NAVFInoIkAQ0AyVTAqqQtDQGiz6nO1RUNAvw6cM6JcQ0DZzvdT421DQD81XrpJZENA8BZIUPyIQ0DKMsSxLh5DQJhMFYxKGkNAXynLEMc6Q0DXo3A9Ci9DQOCcEaW9GUNAdLUV+8vuQkDgvg6cM9pCQKwcWmQ710JAMZkqGJUcQ0AbL90kBlFDQFXBqKROAENAqvHSTWIwQ0CsHFpkOw9DQNuK/WX3PENAS+oENBEeQ0AX2c73UzNDQA5Pr5RlCENA2qz6XG1VQ0CBBMWPMedCQBe30QDe0kJAw2SqYFQqQ0BuNIC3QPJCQAIrhxbZFkNAh6dXyjIcQ0BkXdxGA2hDQNV46SYxMENASgwCK4feQkA51sVtNOhCQD7o2az6RENAtFn1udoyQ0C8dJMYBC5DQE7RkVz+K0NAgnNGlPYGQ0B88rBQawpDQI51cRsNAENAZRniWBcXQ0Cxv+yePCRDQHbgnBGl7UJAQs9m1ecCQ0D3Bl+YTCVDQCntDb4wIUNAkQ96NqsOQ0DA7J48LORCQFR0JJf/GENASL99HTjnQkDkFB3J5edCQA+cM6K0T0NAwoanV8oyQ0DM7snDQl1DQDhnRGlvSENA5BQdyeVXQ0ACmggbng5DQA8LtaZ5J0NAQmDl0CL7QkA7AU2EDedCQB6n6EguF0NANKK0N/gKQ0AH8BZIUARDQKvP1Vbs70JAAd4CCYrfQkDKVMGopM5CQI51cRsNOENAV1uxv+wuQ0C+MJkqGN1CQOeMKO0N7kJAVTAqqRMYQ0ADeAskKD5DQD9XW7G/vEJAYTJVMCpBQ0CgGi/dJF5DQCZTBaOSakNAat5xio5EQ0Cad5yiIzFDQDSitDf4AkNArfpcbcU2Q0Doaiv2lx1DQGpN845T3EJA4XoUrkfRQkBI4XoUrt9CQLWmeccp8kJA8IXJVMFIQ0AlBoGVQ/NCQNejcD0KD0NAzO7Jw0IlQ0DHuriNBihDQGgibHh6TUNAdQKaCBtGQ0CASL99HTBDQOeMKO0NvkJAIo51cRv1QkBPQBNhw1NDQI/C9ShcR0NAyxDHurg9Q0Bg5dAi2yFDQMIXJlMFc0NAxyk6ksvfQkBqTfOOU9xCQJOpglFJJUNAuECC4scQQ0BUUiegiVBDQDsBTYQND0NAqRPQRNjwQkB/+zpwzkBDQH4dOGdEAUNAZmZmZmbeQkA5RUdy+UdDQPs6cM6IAkNAGy/dJAb5QkBoke18P91CQGB2Tx4WykJAG55eKcs4Q0AX2c73U0NDQLyWkA96VkNAAJF++zpoQ0AdyeU/pG9DQO0NvjCZMkNAqMZLN4nhQkCamZmZmelCQOSDns2qb0NA1QloImz4QkAFNBE2PB1DQMl2vp8aP0NA16NwPQpHQ0DHuriNBuhCQLMMcayLE0NAescpOpI7Q0D1SlmGOCZDQG3F/rJ7akNA9ihcj8I9Q0CdgCbChldDQJLLf0i/LUNA3gIJih8jQ0BxrIvbaEhDQK+UZYhjBUNA63O1FftTQ0AibHh6pSxDQBsN4C2QIENA7zhFR3L5QkCOdXEbDVhDQPH0SlmGSENAwoanV8r6QkAvbqMBvMVCQEXY8PRK+UJAZ0Rpb/A9Q0DcRgN4C9xCQBQ/xty1/EJA6bevA+cMQ0BSJ6CJsBlDQEcDeAskIENAyJi7lpAnQ0DImLuWkCdDQOC+DpwzOkNAppvEILAiQ0AYldQJaDJDQHZxGw3gRUNAhjjWxW3sQkBApN++DkRDQBTQRNjwLENAfa62Yn+pQ0CcxCCwcqBCQKAaL90k9kJA6Ugu/yFFQ0B56SYxCDxDQFXBqKROOENAXrpJDAIzQ0CL/WX35ClDQHUCmggbPkNA+n5qvHQ7Q0CMuWsJ+UhDQIenV8oyRENA24r9ZffUQkBsCfmgZ7tCQNXnaiv2D0NAuB6F61FAQ0Ck374OnBtDQNnO91PjBUNAPnlYqDUtQ0A9m1Wfq/1CQGQ730+N70JAYVRSJ6DZQkAAb4EExc9CQDJ3LSEfzEJAvsEXJlNFQ0D7y+7Jw0JDQJ5eKcsQ50JAJzEIrBwSQ0BTliGOdSFDQH2utmJ/8UJAl5APejYjQ0BeS8gHPTtDQEtZhjjWNUNA/yH99nUIQ0Dwp8ZLNylDQEMc6+I2MkNAWMoyxLEGQ0CQoPgx5g5DQDnWxW00YENAqvHSTWJIQ0DqBDQRNoxDQE7RkVz+i0NAuycPC7VOQ0AqOpLLf1hDQD/G3LWEPENApb3BFyYLQ0BApN++DkxDQILix5i7TkNAguLHmLtOQ0BMN4lBYCVDQPvL7snDMkNAxyk6kstvQ0Db+X5qvGxDQMNkqmBUAkNA6Gor9pcdQ0CIhVrTvPNCQLWmeccpKkNAN4lBYOUwQ0BIUPwYc7dDQFioNc07hkJAWMoyxLHeQkCQoPgx5r5DQILix5i7fkNAfT81Xrp5Q0C94xQdyZVDQLPqc7UVK0NAkDF3LSEXQ0CrPldbsQdDQARWDi2yzUJAvp8aL90MQ0AwKqkT0MxCQBPyQc9mfUNAxty1hHwYQ0CGyVTBqDxDQNv5fmq8VENAa5p3nKJrQ0DcRgN4C8RCQLHh6ZWy5EJAfa62Yn9hQ0BNhA1PryRDQF+YTBWMMkNARiV1AppAQ0D/snvysDhDQOoENBE2HENAmSoYldQhQ0AH8BZIUFRDQClcj8L1+EJAYhBYObRwQ0AhH/RsVk1DQHxhMlUwakNAvJaQD3peQ0B7FK5H4WpDQL4wmSoYRUNAoWez6nN9Q0CcxCCwcoBDQPrt68A520JAgSbChqf3QkCqYFRSJyBDQBlz1xLyKUNARUdy+Q8RQ0BqTfOOUzRDQE3zjlN0HENARUdy+Q8BQ0Ai/fZ14GxDQClcj8L1UENAOpLLf0g3Q0AmUwWjkgJDQAMJih9jDkNAtaZ5xykCQ0CutmJ/2T1DQOVhodY0R0NAKH6MuWsxQ0Dek4eFWmNDQMgHPZtVP0NAZF3cRgMgQ0CjI7n8hyRDQIPAyqFFNkNAorQ3+MJEQ0B6Nqs+VzNDQInS3uALM0NAdk8eFmo9Q0B3LSEf9DRDQD55WKg1NUNAWDm0yHY2Q0CbVZ+rrThDQJqZmZmZcUNATmIQWDlkQ0C+nxov3ZRDQC/dJAaBdUNA001iEFixQkCamZmZmcFCQGDl0CLbwUJAiIVa07zbQkA5tMh2vtdCQHnpJjEIxEJArBxaZDtPQ0C94xQdyRVDQAWjkjoBPUNAJJf/kH4bQ0BSJ6CJsBlDQBsv3SQGKUNAXW3F/rIjQ0C0WfW52hpDQMPTK2UZKkNAQBNhw9MjQ0Bv8IXJVAlDQG3F/rJ78kJAPZtVn6sdQ0CiRbbz/dxCQDAqqRPQXENA2c73U+MNQ0AtQxzr4u5CQKhXyjLEIUNATRWMSurUQkCoNc07TtlCQEw3iUFgFUNA6SYxCKwUQ0CaCBueXhFDQJJc/kP6/UJAK/aX3ZMPQ0BwXwfOGTlDQH4dOGdEOUNA6Ugu/yFNQ0AfhetRuEZDQMBbIEHxC0NAp3nHKTpiQ0CHFtnO9zNDQK36XG3FDkNALNSa5h0vQ0CiRbbz/eRCQKFns+pzNUNAJLn8h/QTQ0A/xty1hKRDQCDSb18HbkNAarx0kxgMQ0D/If32dVBDQOM2GsBbGENAk6mCUUlVQ0B7gy9MpgJDQK1p3nGKBkNAyXa+nxpPQ0BEaW/whUlDQEI+6NmsAkNAs3vysFADQ0DnjCjtDRZDQCKOdXEb7UJA6Ugu/yFlQ0D4U+OlmzRDQKMBvAUSJENApHA9CtcjQ0C62or9ZT9DQK5H4XoU/kJA6gQ0ETaMQ0DImLuWkNdCQJtVn6uteENAexSuR+ESQ0DfT42XbuJCQGEyVTAqIUNATYQNT68cQ0BqTfOOU9xCQHsUrkfh2kJA5fIf0m9HQ0B0RpT2Bl9DQAskKH6MeUNAVp+rrdhHQ0DaG3xhMv1CQJ+rrdhf9kJAqDXNO075QkDtnjws1OpCQJkqGJXUKUNAidLe4As7Q0CamZmZmRFDQNlfdk8eBkNArIvbaAAnQ0A2zTtO0UlDQB4Wak3zHkNAETY8vVL+QkCgGi/dJB5DQIenV8oyBENAMCqpE9DcQkB4eqUsQwRDQBB6Nqs+x0JAc2iR7XzXQkBm9+RhoT5DQDsBTYQNJ0NAd76fGi8tQ0Bn1edqKxZDQE2EDU+v7EJATDeJQWBNQ0DOGVHaGwxDQJ2AJsKGT0NARPrt68D5QkBTBaOSOuFCQDJVMCqpM0NATDeJQWANQ0DNO07RkQRDQKmkTkATMUNAIbByaJEdQ0Atsp3vpx5DQHRGlPYG/0JAjSjtDb4QQ0BQjZduEttCQCEf9GxWBUNA0ZFc/kPyQkBeukkMAtNCQDojSnuD/0JAgLdAguL3QkB2cRsN4BVDQBueXinLIENALpCg+DEWQ0CDUUmdgCZDQIv9ZffkKUNA+FPjpZsUQ0BmiGNd3C5DQKyt2F92D0NAYHZPHhY6Q0D67evAOTtDQLx0kxgERkNAio7k8h9KQ0Boke18P/VCQHzysFBrOkNAVHQkl/8oQ0A9m1Wfq01DQCh+jLlr8UJA6bevA+fcQkCneccpOvJCQBE2PL1SHkNAfT81XroxQ0BZhjjWxQVDQOELk6mCAUNACyQofoxpQ0DfT42XbmJDQGKh1jTv8EJAM8SxLm77QkCcoiO5/P9CQHNoke1870JA0NVW7C8DQ0CWIY51cRNDQF3cRgN4K0NABOeMKO0lQ0Cn6Egu/6FDQF3+Q/rto0NANIC3QIKKQ0Dek4eFWhtDQBB6Nqs+10JAylTBqKQWQ0ALRiV1AgJDQMx/SL99VUNAkKD4MeY+Q0A8TtGRXE5DQLprCfmgB0NAqvHSTWIQQ0B8YTJVMAJDQHo2qz5XI0NAiPTb14FDQ0BeS8gHPUNDQLdif9k9eUNAZapgVFJHQ0CbVZ+rrVhDQI51cRsN8EJAjgbwFkjIQkBos+pztb1CQIQNT6+U1UJAy6FFtvNNQ0BAE2HD01NDQMiYu5aQl0NAyeU/pN8GQ0C0WfW52qpDQFYOLbKdV0NANKK0N/hCQ0C0yHa+n+JCQKqCUUmd6EJAI9v5fmoEQ0B9rrZif2lDQI2XbhKDeENA7FG4HoV7Q0CutmJ/2WVDQJp3nKIj0UJAn6ut2F8mQ0D0/dR46c5CQIQNT6+UXUNAGJXUCWjqQkAT8kHPZi1DQA4tsp3vH0NAcRsN4C3gQkArGJXUCQBDQK+UZYhj/UJA8fRKWYYAQ0DXEvJBz+5CQHE9Ctej4EJALGUZ4lj/QkB3vp8aL+1CQGlv8IXJ7EJAd76fGi/9QkAIPZtVn8NCQG+BBMWPoUJA0m9fB87BQkB7FK5H4WJDQGq8dJMYHENA16NwPQonQ0Drc7UV+xtDQJhMFYxKGkNAV1uxv+wOQ0BMpgpGJfVCQH2utmJ/6UJAFK5H4XrkQkB6Nqs+VztDQEOtad5xCkNANxrAWyBhQ0CU9gZfmDxDQPRsVn2uTkNAZapgVFJXQ0Ay5q4l5FtDQGFUUiegQUNAcM6I0t4oQ0B2Tx4WajVDQJSHhVrThENAd76fGi8NQ0DTTWIQWBlDQBzr4jYaMENAaW/whcl0Q0DiWBe30RhDQBKlvcEXFkNATmIQWDlsQ0AZ4lgXt0lDQAmKH2PuQkNAObTIdr4XQ0C2hHzQsylDQMe6uI0G8EJA9GxWfa7mQkBhVFInoGFDQKTfvg6c80JAY+5aQj4AQ0D/If32dchCQEhQ/Bhzz0JAJCh+jLmrQkB0JJf/kN5CQBBYObTIHkNAg8DKoUUGQ0AldQKaCENDQGkAb4EETUNAysNCrWnOQkARx7q4jR5DQKqCUUmdSENAzF1LyAclQ0DXo3A9Ch9DQPhT46Wb7EJAFYxK6gQkQ0CHFtnO9/tCQA3gLZCg6EJAYTJVMCohQ0DwhclUwdhCQEGC4seY40JAbef7qfH6QkCRD3o2q35DQLPqc7UVO0NA/fZ14JwJQ0AxCKwcWhRDQFafq63Yd0NA/Yf029fhQkCgibDh6TVDQMsQx7q4JUNAdnEbDeAdQ0B1ApoIG2ZDQFInoImwQUNAFNBE2PAMQ0DnjCjtDQZDQNv5fmq8FENAtaZ5xykqQ0DKMsSxLjZDQB+F61G49kJAdnEbDeA9Q0ASFD/G3A1DQDAqqRPQLENAETY8vVJ2Q0C4HoXrUWhDQKW9wRcmu0NAJQaBlUMbQ0Csrdhfdk9DQJkqGJXUQUNAw/UoXI+CQ0DSAN4CCRJDQLhAguLHCENAKqkT0EQQQ0Bv8IXJVDFDQMiYu5aQJ0NABcWPMXdtQ0AXt9EA3vJCQDQRNjy9+kJANKK0N/haQ0BcIEHxYxRDQBZqTfOOW0NAJzEIrBw6Q0DysFBrmv9CQI4G8BZIOENAAiuHFtkWQ0DTTWIQWPFCQAg9m1Wf20JA4XoUrkfRQkA3GsBbIAFDQPKwUGua50JATRWMSupMQ0BUUiegiRBDQCgPC7Wm4UJAmSoYldT5QkCoV8oyxLFCQHS1FfvLTkNAPE7RkVxeQ0D+ZffkYYlDQEATYcPTM0NAObTIdr5XQ0DkFB3J5c9CQOPHmLuW2EJAe4MvTKbSQkAN4C2QoLBCQAg9m1Wfw0JAj1N0JJd3Q0AlBoGVQ1tDQM4ZUdob7EJAqmBUUidoQ0A2PL1SlvFCQLx0kxgE/kJASnuDL0zWQkAnMQisHApDQKfoSC7/WUNA2T15WKgdQ0B4eqUsQyxDQAn5oGezCkNAwTkjSnsjQ0Aep+hILj9DQBZqTfOOK0NAqDXNO05BQ0BVMCqpEzBDQDlFR3L5/0JAOUVHcvn/QkBkXdxGAxBDQESLbOf7QUNAHThnRGnnQkBtVn2utgJDQOCcEaW94UJAKVyPwvWwQkC8BRIUP95CQNbFbTSA70JAO99PjZfGQkAxCKwcWmRDQEaU9gZfMENAEoPAyqEdQ0A8vVKWIQZDQI0o7Q2+8EJASS7/If3uQkDrc7UV+ztDQCbkg57NIkNAE2HD0ytVQ0ACK4cW2RZDQFfsL7snJ0NANKK0N/gqQ0CcxCCwcvBCQKTfvg6cG0NAutqK/WUvQ0BdbcX+sltDQBsv3SQGWUNAbqMBvAViQ0C5jQbwFmhDQLraiv1lV0NAhXzQs1kNQ0D3Bl+YTD1DQAtGJXUCQkNACfmgZ7MqQ0B0JJf/kG5DQHQkl/+QTkNAduCcEaVtQ0DOqs/VVjRDQG+BBMWPEUNAFmpN844TQ0AAb4EExU9DQABvgQTFZ0NAQxzr4jbqQkBEaW/whRFDQCbkg57N8kJACYofY+7qQkCrPldbsTdDQLaEfNCzSUNAguLHmLtuQ0CWIY51cUtDQMX+snvyUENAk6mCUUldQ0D2l92Th5VDQDSAt0CCGkNAyxDHurhNQ0B8YTJVMCJDQDJVMCqpK0NAufyH9NsnQ0A0ETY8vSJDQJEPejarBkNAeqUsQxxLQ0DLEMe6uB1DQHE9CtejkENA1sVtNIAXQ0ABTYQNT59CQM6I0t7g20JAbVZ9rrYaQ0DjpZvEIPhCQJhMFYxK8kJAEoPAyqFNQ0Dpt68D50xDQDqSy39IL0NAz/dT46ULQ0By+Q/pt89CQKwcWmQ7D0NAXrpJDAJDQ0BN845TdOxCQF1txf6yO0NAcayL22hgQ0AVHcnlP3RDQO7rwDkjukJA3bWEfNDjQkBR2ht8YdpCQEhQ/Bhz30JAZDvfT43fQkAkl/+QfhNDQFg5tMh2LkNANjy9UpZBQ0BhVFInoDlDQAXFjzF3FUNApU5AE2ETQ0CvlGWIY+VCQP+ye/KwEENARwN4CyQ4Q0C4rwPnjBBDQAwCK4cWQUNAkDF3LSFfQ0CM22gAb2FDQKK0N/jCNENAldQJaCI0Q0AkufyH9CtDQHKKjuTyR0NAgQTFjzH/QkD7XG3F/lpDQFXBqKROUENAi2zn+6kxQ0AEVg4tsk1DQCUGgZVD60JAFD/G3LXEQkD99nXgnAlDQCGwcmiR/UJArWnecYoGQ0BU46WbxPhCQM6I0t7g+0JATx4Wak07Q0CY3ZOHhUJDQDQRNjy9AkNAQmDl0CJjQ0CSXP5D+n1DQOELk6mC2UJAO3DOiNLeQkAjSnuDL+RCQCV1ApoIK0NAJCh+jLnrQkBDrWneccJCQCDSb18HHkNARpT2Bl9IQ0CTqYJRSd1CQJqZmZmZMUNA1sVtNIAvQ0CPU3QklwdDQBkEVg4tMkNAtTf4wmQSQ0BYObTIdlZDQKW9wRcmM0NAfdCzWfUBQ0BrmnecojNDQFK4HoXr6UJA/fZ14JwJQ0BmiGNd3DZDQOPHmLuWKENAl5APejY7Q0DmP6Tfvh5DQN6Th4VaG0NAkX77OnAmQ0CBJsKGpxdDQJMYBFYOJUNArWnecYomQ0Bj7lpCPihDQJhMFYxKAkNA0m9fB87pQkBRa5p3nOJCQE2EDU+vNENAyAc9m1VXQ0Ck374OnEtDQFtCPujZFENAH4XrUbgmQ0CYTBWMSspCQKkT0ETYIENAE/JBz2YVQ0DeAgmKH3NDQG8Sg8DKEUNAPL1SliEmQ0AFNBE2PBVDQBsN4C2QMENAXynLEMcSQ0D3deCcEf1CQOVhodY0h0NAzczMzMzkQkAydy0hH1xDQO0NvjCZGkNARUdy+Q85Q0AsZRniWDdDQPmgZ7PqG0NATx4Wak3zQkBa9bnaiu1CQNqs+lxtVUNAwOyePCzMQkAwuycPC5VDQAfOGVHak0NAQBNhw9ODQ0Doaiv2l1VDQHKKjuTy90JAPE7RkVzuQkAUP8bctexCQNCzWfW58kJAS8gHPZsVQ0APnDOitC9DQCKOdXEbNUNAeHqlLENEQ0BMpgpGJQVDQHqlLEMc40JA0gDeAgkyQ0CBBMWPMR9DQF+YTBWM6kJAaLPqc7UdQ0CvJeSDni1DQJkqGJXUcUNAMnctIR9MQ0Ai/fZ14FRDQBSuR+F6/EJAbef7qfEKQ0Bt5/up8QpDQJyiI7n8H0NAfPKwUGsCQ0B4eqUsQyRDQFafq63Y90JAYhBYObTAQkA3GsBbIAFDQNO84xQd6UJAgLdAguLvQkDBOSNKe8tCQPfkYaHWNENAFYxK6gREQ0CXkA96NhNDQJLLf0i/PUNAGw3gLZDoQkCneccpOipDQJqZmZmZUUNAxSCwcmghQ0DJdr6fGidDQFZ9rrZiH0NASS7/If0GQ0DFjzF3LWlDQKvP1Vbsh0NAjgbwFkhYQ0C4HoXrUYBDQO7rwDkj4kJAcF8HzhkZQ0CDL0ymCi5DQJJc/kP69UJA5/up8dJdQ0BQ/Bhz1/JCQFInoImw2UJAH/RsVn32QkC2hHzQs0FDQMSxLm6j+UJAzczMzMzsQkBv8IXJVCFDQCbkg57N8kJAS1mGONbtQkCJQWDl0ApDQAFNhA1Pb0NA3SQGgZXbQkBFR3L5D+FCQCZTBaOSUkNA48eYu5YYQ0A3iUFg5aBDQJayDHGsk0NAtvP91HhRQ0AmUwWjkkJDQCL99nXgJENAQ61p3nEaQ0BR2ht8YUJDQIXrUbgeRUNARUdy+Q+xQkAqqRPQRLhCQJCg+DHmtkJAn6ut2F8OQ0CTOgFNhBVDQHrHKTqS40JA7C+7Jw/jQkAGgZVDi/xCQARWDi2yHUNAS8gHPZslQ0DRItv5fgJDQMP1KFyPQkNAhjjWxW1EQ0DvycNCrVFDQLByaJHtLENAVn2utmLXQkDjNhrAWzBDQLgehetROENAHVpkO99HQ0BCz2bV5zJDQPW52or9BUNAaJHtfD89Q0BPQBNhw0tDQK36XG3FJkNAlkOLbOcLQ0B90LNZ9elCQOJYF7fRKENAidLe4AsTQ0BTliGOdVFDQG3F/rJ7WkNAgy9MpgpmQ0AwKqkT0BxDQBrAWyBBIUNAqvHSTWIoQ0BNhA1PrzxDQGKh1jTvGENAJ6CJsOHZQkDUmuYdp/BCQB04Z0RpF0NAuY0G8BboQkChZ7Pqcx1DQP7UeOkmGUNAuK8D54wQQ0BHcvkP6S9DQGpN845TLENAKqkT0ERIQ0AtIR/0bC5DQBKDwMqhXUNABcWPMXctQ0BdbcX+sitDQMX+snvyMENAFNBE2PAMQ0AdWmQ73x9DQOM2GsBbCENA/Knx0k1qQ0B6Nqs+V8tCQOqVsgxx/EJATmIQWDnsQkAFo5I6AeVCQPT91HjpdkNAE/JBz2bVQkACvAUSFOdCQI0o7Q2+WENAmSoYldSZQ0C7Jw8Lta5DQKUsQxzr8kJAO3DOiNI+Q0Dl0CLb+f5CQFafq63YN0NA2PD0SlkuQ0COBvAWSHBDQJ2AJsKGX0NAwOyePCwsQ0CC4seYuwZDQAyTqYJRuUJALNSa5h23QkDgnBGlvelCQOlILv8h/UJAmSoYldQ5Q0DnHafoSAZDQL99HThnFENAcvkP6bcvQ0CBJsKGpydDQO2ePCzUAkNAih9j7loKQ0AXt9EA3upCQCegibDhEUNAhXzQs1nlQkD0bFZ9rjZDQCbkg57NKkNAPQrXo3A1Q0CASL99HRhDQIqO5PIfEkNAVp+rrdhnQ0CzDHGsi8tCQH2utmJ/8UJAIbByaJHtQkAQWDm0yH5DQJCg+DHmxkJA8KfGSzdRQ0C+wRcmUzVDQAaBlUOLBENA3GgAb4E8Q0Au/yH99h1DQBueXinLMENAwcqhRbarQkAW+8vuyVtDQKwcWmQ750JA/fZ14JwRQ0CqglFJnThDQD7o2az6LENAPujZrPosQ0DfT42XbhpDQLmNBvAWSENAD5wzorQnQ0CEns2qz9VCQCPb+X5qTENAvJaQD3o+Q0Btxf6ye3pDQKs+V1ux90JA845TdCR3Q0BsCfmgZ+NCQPvL7snDokJA+8vuycOiQkCh1jTvOLVCQEYldQKa8EJA9GxWfa7mQkCIhVrTvEtDQF+YTBWMYkNA4C2QoPgZQ0CV1AloIhxDQFMFo5I6OUNASL99HTgHQ0BxrIvbaEhDQCgPC7WmKUNAJXUCmghzQ0BKDAIrhyZDQGx4eqUsI0NAAAAAAAAIQ0CoV8oyxClDQAkbnl4pM0NAg1FJnYD2QkDn+6nx0p1CQMx/SL99fUJAzF1LyAddQkAbL90kBmlCQG/whclUyUJAjnVxGw2wQ0AOT6+UZdBCQMHKoUW260JATKYKRiXVQkDOGVHaGwxDQN0kBoGVM0NACYofY+46Q0A4+MJkqjBDQEvIBz2bLUNA2ht8YTI1Q0Bjf9k9eShDQJvmHafoOENAUiegibApQ0DXNO84RWdDQJXUCWgiTENAejarPldTQ0CKsOHplTpDQBb7y+7JO0NAY+5aQj74QkCGyVTBqAxDQOjZrPpcLUNAXynLEMfqQkCjkjoBTRxDQNXnaiv2B0NASZ2AJsJOQ0ASFD/G3GVDQGdEaW/w3UJAO99PjZfeQkBFR3L5D/lCQC0hH/RsNkNAlrIMcawrQ0AoDwu1pvFCQO84RUdyEUNAXkvIBz0jQ0AUP8bcteRCQDQRNjy9wkJAjZduEoNoQ0Cz6nO1FctCQG8Sg8DKCUNAnzws1JoGQ0DZzvdT4wVDQKRwPQrX20JASgwCK4cmQ0C9UpYhjh1DQC2yne+nHkNAZRniWBcPQ0CbVZ+rrSBDQAtGJXUCEkNAVTAqqRMAQ0Aj2/l+ajRDQE9AE2HD40JAE/JBz2ZlQ0Ag0m9fB9ZCQPCnxks3QUNAGlHaG3whQ0APnDOitGdDQMRCrWne2UJAoBov3SS+QkAnoImw4blCQGHD0ytlMUNAokW28/0EQ0CU9gZfmFRDQFafq63YN0NATx4Wak1TQ0AYJlMFo/pCQBDpt68D90JAbVZ9rrY6Q0C5/If02wdDQPd14JwRzUJA+zpwzohiQ0CppE5AEzlDQE5iEFg57EJAT0ATYcMLQ0AnMQisHDpDQDy9UpYh9kJA+zpwzogiQ0BUdCSX//hCQK+UZYhjRUNAQj7o2axCQ0CZKhiV1FFDQNxoAG+BXENACRueXikrQ0CoNc07TglDQPwYc9cSSkNAescpOpJDQ0DkFB3J5SdDQIC3QILiB0NAMnctIR88Q0AOvjCZKghDQDnWxW00CENANKK0N/giQ0Cb5h2n6AhDQOCcEaW9EUNA8KfGSzchQ0Ct+lxtxSZDQHrHKTqSE0NAYOXQItsBQ0BJLv8h/UZDQMzuycNCXUNANe84RUdSQ0BxPQrXoxhDQERpb/CFMUNAPQrXo3AFQ0DnHafoSM5CQFyPwvUozEJABOeMKO1FQ0CzDHGsizNDQCegibDhIUNAYHZPHhbqQkAQ6bevA29DQATnjCjtzUJAkxgEVg6NQ0AwTKYKRjVDQIj029eBU0NA1sVtNIBXQ0BkXdxGAwBDQOqVsgxxFENA0m9fB87ZQkBn1edqK/5CQOQUHcnl90JAio7k8h8qQ0C4rwPnjOhCQJ2AJsKGN0NAmG4Sg8AaQ0Bz1xLyQR9DQBgmUwWjMkNAuK8D54woQ0Ct+lxtxU5DQJ2AJsKG70JA9wZfmEw1Q0DuWkI+6OFCQG1Wfa62EkNA8kHPZtXfQkDo2az6XA1DQNqs+lxtxUJAAAAAAADQQkAAAAAAANBCQKyt2F92d0NA+Q/pt69jQ0BPHhZqTRNDQInS3uALW0NACRueXilTQ0BSJ6CJsElDQGDl0CLbQUNAYqHWNO9wQ0C/fR04ZwRDQGfV52orBkNA6SYxCKxEQ0CcoiO5/C9DQCJseHqlBENAHThnRGnPQkD5MeauJcRCQKFns+pznUJACD2bVZ+7QkA+6Nms+txCQDBMpgpG3UJAliGOdXEjQ0ALtaZ5xyFDQEXY8PRKIUNA9GxWfa5WQ0AukKD4MSZDQGlv8IXJVENA6Nms+lz9QkAUrkfhehRDQMSxLm6jSUNACYofY+7SQkBbQj7o2exCQPYoXI/CpUJAm1Wfq63YQkClvcEXJvNCQFwgQfFj/EJASgwCK4c2Q0Bm9+RhoQ5DQFInoImwuUJAXrpJDAIjQ0AijnVxGz1DQJf/kH77WkNAZMxdS8g/Q0AX2c73UytDQAU0ETY8vUNAgEi/fR24Q0ArhxbZzk9DQCgPC7WmyUJAFNBE2PDUQkAbDeAtkNBCQKs+V1uxT0NA/mX35GHhQkDuWkI+6PlCQCUGgZVDE0NAFD/G3LUkQ0D7OnDOiFpDQJ88LNSaLkNA3EYDeAs0Q0BPQBNhwztDQM3MzMzMBENANBE2PL1aQ0AVHcnlPyRDQCL99nXgDENArkfhehQOQ0AX2c73U/tCQMuhRbbzJUNA/7J78rAwQ0CsrdhfdidDQFK4HoXrOUNAqMZLN4kxQ0D4wmSqYAxDQIv9ZffkCUNA/yH99nU4Q0A9m1WfqxVDQFdbsb/sDkNA6SYxCKxcQ0B4nKIjuSxDQHDOiNLeEENAJ8KGp1dCQ0AgY+5aQn5DQPaX3ZOHVUNA9pfdk4dVQ0CIhVrTvDNDQPs6cM6IUkNAfPKwUGsSQ0C+MJkqGDVDQPtcbcX+6kJAGsBbIEFBQ0As1JrmHTdDQOQUHcnlP0NAgQTFjzHvQkDUmuYdpzhDQHRGlPYGD0NAJlMFo5IqQ0ADCYofY1ZDQKCJsOHpVUNATYQNT69UQ0Ba9bnaih1DQD55WKg1LUNAQBNhw9MDQ0BBguLHmDtDQJhMFYxKQkNA845TdCRXQ0AhsHJokWVDQMP1KFyPekNAHOviNhpQQ0CdgCbChhdDQLRZ9bna4kJA7uvAOSMCQ0C/DpwzovRCQNv5fmq8BENAO3DOiNImQ0ABTYQNTw9DQBNhw9MrPUNAat5xio40Q0A6I0p7g89CQF1txf6yI0NAIv32deAMQ0Bd/kP67QtDQPfkYaHW9EJAwTkjSnsrQ0AXt9EA3hpDQIlBYOXQMkNA9ihcj8IlQ0C0yHa+nzpDQG1Wfa62GkNADi2yne9XQ0BwXwfOGQlDQCL99nXgFENALNSa5h0vQ0ChZ7PqcwVDQF8pyxDHIkNAK/aX3ZNHQ0DUmuYdpwBDQKqCUUmdeENA7lpCPujxQkAmUwWjkhpDQEcDeAskKENAnMQgsHJAQ0COdXEbDVhDQPs6cM6IKkNA0ETY8PTiQkDx9EpZhiBDQJF++zpwJkNAvp8aL90UQ0B3vp8aLzVDQPaX3ZOHHUNANKK0N/jyQkAzxLEubgNDQAu1pnnHIUNAt9EA3gJBQ0BKDAIrh85CQBdIUPwYE0NA4umVsgwpQ0AX2c73U1NDQMx/SL99HUNA1zTvOEU/Q0BrmnecoktDQFmGONbFZUNAmbuWkA8KQ0CcxCCwciBDQHbgnBGlJUNAJuSDns0aQ0CM22gAbyFDQOxRuB6F60JAk6mCUUl1Q0Aydy0hH7xCQAfwFkhQHENAAAAAAADgQkCJQWDl0OJCQHsUrkfhAkNAveMUHckdQ0BiodY07whDQGFUUieg8UJAlrIMcazzQkCmCkYlddpCQO84RUdyYUNAY+5aQj5QQ0C+nxov3RxDQCJseHqlJENAGeJYF7dhQ0CQMXctIV9DQK62Yn/Z1UJAFK5H4XoUQ0DVCWgibDBDQI51cRsNUENAX5hMFYwqQ0BxPQrXoxBDQL7BFyZTPUNA8x/Sb18vQ0Doaiv2l11DQDGZKhiV/EJAf2q8dJPYQkDxY8xdS+BCQHqlLEMcG0NA4XoUrkdJQ0CBlUOLbMdCQBUdyeU/XENAorQ3+MIEQ0BwzojS3ihDQPcGX5hMFUNAPnlYqDUNQ0AvbqMBvNVCQFfsL7snv0JArWnecYpOQ0Dr4jYawNtCQNDVVuwv20JAlWWIY11MQ0CQMXctIX9DQIy5awn5GENAqMZLN4kZQ0DJ5T+k3+ZCQHGsi9to4EJAKjqSy39YQ0DRItv5fgpDQHqlLEMcK0NAuK8D54zAQkAnMQisHCJDQMsQx7q4FUNA5fIf0m8PQ0BU46WbxPBCQKmkTkATGUNABTQRNjzlQkBz1xLyQT9DQIqw4emVKkNAc2iR7XwnQ0B7gy9MpuJCQLyWkA96BkNAsHJoke0MQ0BU46WbxOhCQOJYF7fRKENAfh04Z0QJQ0Abnl4pyzBDQOlILv8hNUNAXW3F/rIbQ0C9UpYhjhVDQH4dOGdEKUNAw9MrZRkaQ0ASFD/G3C1DQMNkqmBUAkNAvsEXJlPdQkBEi2zn++lCQPrt68A5o0NAuB6F61GAQ0A9LNSa5o1DQLWmeccpWkNA8kHPZtVfQ0D35GGh1iRDQCh+jLlr+UJA/7J78rDoQkDWVuwvuydDQC/dJAaBVUNAvjCZKhgNQ0AMk6mCUXlDQMRCrWneYUNAdk8eFmpdQ0B4eqUsQ/RCQCGwcmiR7UJAMlUwKqkDQ0AtIR/0bM5CQABvgQTF50JAJzEIrBx6Q0CaCBueXilDQK1p3nGKLkNAnzws1JoOQ0CX/5B++zJDQPKwUGua90JAS8gHPZsNQ0CKH2PuWjJDQBHHuriN9kJAg1FJnYAGQ0DP91PjpStDQCgPC7Wm8UJAxm00gLcgQ0C4HoXrURBDQBTQRNjwBENAo5I6AU3kQkAu/yH99gVDQC7/If32BUNAokW28/1MQ0Dgvg6cM1JDQIEExY8x50JA8fRKWYboQkAy5q4l5NtCQG40gLdAykJAodY07zjlQkC4HoXrUfhCQBb7y+7JW0NAMZkqGJUkQ0B90LNZ9QlDQCfChqdX4kJACRueXikbQ0ATYcPTK0VDQMzuycNCHUNA2V92Tx4OQ0BIUPwYcwdDQI51cRsNMENAfoy5awkxQ0Dwp8ZLNxlDQGUZ4lgXH0NAirDh6ZUiQ0C30QDeAklDQBkEVg4tMkNARdjw9EoRQ0B/+zpwzghDQILix5i7RkNAZ9XnaismQ0Cn6Egu/4FDQEXY8PRKUUNAJ6CJsOF5QkDKw0Ktad5CQH2utmJ/iUNA+THmriVMQ0BI4XoUrvdCQDVeukkMUkNA0ETY8PQCQ0CGONbFbSxDQEvqBDQRNkNAylTBqKQWQ0AMk6mCUTFDQI/C9ShcV0NA5fIf0m93Q0AAAAAAANBCQBe30QDeYkNAcvkP6bfHQkAE54wo7bVCQCo6kst/mEJAzF1LyAe9QkBFR3L5DwFDQJzEILByMENAwOyePCzkQkBkXdxGA7hCQNJvXwfO8UJAJzEIrBy6QkDA7J48LOxCQMNkqmBU2kJAKqkT0ET4QkCIhVrTvPNCQFyPwvUobENA1XjpJjE4Q0CwcmiR7XRDQPd14JwRTUNALbKd76feQkD5D+m3rwtDQNxGA3gLJENA2qz6XG09Q0Dl8h/Sb/dCQOELk6mCIUNAeHqlLENEQ0BuNIC3QOpCQO84RUdyGUNA+aBns+ojQ0CmCkYldRpDQE7RkVz+K0NAEqW9wRc+Q0Dpt68D5+RCQOzAOSNK60JA6Ugu/yHlQkDkFB3J5edCQBSuR+F6VENAIv32deAsQ0BIUPwYcx9DQKH4Meau9UJAHOviNhpAQ0C+nxov3TRDQEku/yH9HkNAEqW9wRf+QkBt5/up8fpCQLaEfNCzcUNAih9j7lq6QkAwKqkT0MxCQKqCUUmdSENAeJyiI7k8Q0DLoUW28xVDQCnLEMe6GENA9dvXgXMOQ0Dgvg6cMypDQPwYc9cSEkNAwhcmUwXTQkA9LNSa5vVCQJwzorQ3IENAUPwYc9cCQ0BWn6ut2C9DQNejcD0KH0NAb/CFyVQxQ0AKaCJseBpDQHo2qz5XM0NAcM6I0t7wQkDxY8xdS/BCQKjGSzeJ8UJAiPTb14FLQ0CSy39Iv01DQE2EDU+vJENANe84RUdaQ0BtVn2utkpDQAXFjzF3HUNA9ihcj8IVQ0B2cRsN4A1DQJVliGNdNENAZMxdS8gfQ0BYqDXNOy5DQMgHPZtV/0JAyJi7lpAnQ0ACvAUSFPdCQDlFR3L5v0JAtTf4wmTyQkAu/yH99m1DQBiV1Alo2kJAoWez6nP1QkBxPQrXozBDQIV80LNZjUNA5j+k374+Q0DvycNCralDQGN/2T15YENAxyk6ksvfQkAPC7WmeR9DQFTjpZvEMENAysNCrWkmQ0AZBFYOLQJDQNSa5h2n2EJAWDm0yHYuQ0BdbcX+svtCQDY8vVKWCUNARiV1Apr4QkAmUwWjkmJDQB04Z0RpZ0NArrZif9l9Q0CcM6K0N/hCQIofY+5aOkNAGw3gLZA4Q0DcRgN4CzxDQLwFEhQ/3kJAUrgehevxQkD/If32dWBDQAfOGVHa40JAm1Wfq63wQkD0bFZ9rk5DQDXvOEVHCkNATtGRXP4jQ0DTTWIQWBFDQCSX/5B+M0NA3gIJih8DQ0D7y+7Jw9JCQFMFo5I6wUJA9dvXgXPGQkDXo3A9Ct9CQPfkYaHW7EJAUI2XbhIjQ0AukKD4MUZDQEjhehSu90JAiPTb14FrQ0CSy39Iv2VDQFtCPujZTENA9+RhodYMQ0C8dJMYBBZDQPp+arx0A0NAJuSDns0SQ0BuNIC3QOpCQBiV1Alo6kJAx7q4jQYgQ0CjI7n8hzxDQJ2AJsKGz0JALGUZ4lgvQ0APC7WmeZ9DQJ/Nqs/VZkNAbef7qfGCQ0CWQ4ts54NDQDj4wmSq6EJAPL1SliH+QkADeAskKF5DQGx4eqUs60JAb/CFyVTBQkA0ETY8vQJDQOwvuycP40JAf/s6cM4AQ0BmZmZmZgZDQF66SQwCI0NALpCg+DFGQ0DXEvJBzy5DQA8LtaZ550JAsVBrmncMQ0CZu5aQD8pCQJ2AJsKGt0JAio7k8h+yQkAEVg4tsp1DQHzysFBrIkNAtoR80LPpQkDb+X5qvDxDQLAD54woRUNAUwWjkjo5Q0Cfq63YX1ZDQCuHFtnOX0NAFmpN846DQ0CM22gAb3lDQBb7y+7J80JANBE2PL0CQ0AJG55eKSNDQDtwzojSLkNApU5AE2E7Q0DHSzeJQfhCQL4wmSoYVUNAUPwYc9eCQ0AE54wo7Y1DQNIA3gIJYkNAeekmMQh8Q0CdgCbChndDQOcdp+hIxkJAhJ7Nqs8VQ0A8vVKWIeZCQOOlm8QgAENAFK5H4XokQ0BMpgpGJS1DQKrx0k1icENANe84RUfiQkBIv30dODdDQPCFyVTBOENAVHQkl/8QQ0DHuriNBkhDQDarPldb8UJAMCqpE9AUQ0AzxLEubhNDQAisHFpk+0JAWRe30QBOQ0AdWmQ73y9DQDcawFsgCUNA9GxWfa4eQ0DvycNCrWFDQG3n+6nx+kJAP1dbsb/cQkDcaABvgSxDQDcawFsgeUNAnYAmwoZHQ0AUrkfhelxDQCv2l92TJ0NAvw6cM6IcQ0A7AU2EDQdDQKhXyjLE+UJA16NwPQonQ0ClTkATYdNCQLprCfmgB0NAxEKtad75QkC4QILix2BDQHxhMlUwMkNAhslUwahEQ0BmZmZmZk5DQJtVn6utOENAaCJseHrVQkBseHqlLDtDQI51cRsNEENA/7J78rAwQ0BuNIC3QDpDQAyTqYJRKUNAJuSDns0SQ0B4CyQofgxDQFyPwvUoFENA48eYu5YAQ0AxmSoYlQRDQHrHKTqS20JAqDXNO04JQ0CwA+eMKPVCQOELk6mCMUNA8kHPZtV/Q0Db+X5qvGRDQBE2PL1S/kJA9dvXgXMGQ0DDZKpgVEJDQIBIv30dQENA1lbsL7sXQ0CppE5AE/lCQFYOLbKd50JACyQofoxBQ0DqBDQRNiRDQD9XW7G/RENAtRX7y+45Q0AHX5hMFRxDQKpgVFInEENAUWuad5xSQ0A+6Nms+sRCQLwFEhQ/NkNAio7k8h8iQ0CqYFRSJ5hCQO2ePCzU6kJA1edqK/YHQ0AHX5hMFSxDQHrHKTqSU0NAJXUCmghbQ0ANcayL2yBDQDSAt0CCEkNAiUFg5dAaQ0AhH/RsVv1CQP5D+u3r0EJAdy0hH/QUQ0CneccpOhpDQG8Sg8DKQUNAPE7RkVxWQ0AnoImw4VlDQKRwPQrX+0JAPE7RkVw2Q0Dek4eFWjtDQBzr4jYaYENAgEi/fR3QQ0CQMXctIadDQJ/Nqs/VZkNA/Bhz1xL6QkDkFB3J5TdDQACRfvs6MENAnzws1JoOQ0Do2az6XFVDQNc07zhFL0NA1zTvOEUvQ0A3GsBbICFDQF3cRgN4I0NAdZMYBFYmQ0BWDi2ynUdDQNZW7C+7N0NAguLHmLtWQ0BDrWnecfJCQE5iEFg5zEJAPE7RkVzmQkDKVMGopDZDQOOlm8QgOENAVHQkl//4QkALJCh+jOFCQI51cRsN0EJAY3/ZPXngQkDJdr6fGvdCQJeQD3o2Q0NAescpOpILQ0DecYqO5PpCQLaEfNCz+UJAVcGopE7YQkDmriXkgwZDQLmNBvAWCENATRWMSuocQ0A9LNSa5iVDQD/G3LWEJENARPrt68DxQkAldQKaCONCQJzEILByaENAc9cS8kEXQ0Dc14FzRgRDQA5Pr5RlOENA1edqK/YPQ0Dx9EpZhhhDQKYKRiV18kJACD2bVZ/bQkD99nXgnAlDQOm3rwPnJENADXGsi9v4QkA9CtejcDVDQEjhehSuN0NAcT0K16PwQkDXEvJBz/ZCQHS1FfvLpkJAJlMFo5LKQkDx9EpZhghDQAIrhxbZ1kJAnzws1JreQkA0orQ3+NpCQF3+Q/rtM0NArkfhehRuQ0Am5IOezVpDQKyL22gA10JAduCcEaX9QkDHSzeJQRBDQIbJVMGoFENAd76fGi/9QkD129eBc/5CQHGsi9toCENABOeMKO0FQ0AOT6+UZSBDQKmkTkATGUNAGJXUCWgqQ0A/xty1hCxDQKqCUUmdQENALv8h/fb9QkBX7C+7J89CQFOWIY51AUNACRueXik7Q0D7y+7Jw2JDQN21hHzQs0JAGXPXEvIhQ0Ba9bnaiuVCQEcDeAskcENAaCJseHp1Q0Bpb/CFyfxCQDy9UpYhbkNA3gIJih+DQ0DmP6Tfvn5DQEATYcPTy0JA+zpwzoj6QkCASL99HXhDQLUV+8vuYUNAwoanV8q6QkD8qfHSTYpDQJ/Nqs/VnkNAnMQgsHJwQ0A9LNSa5jVDQJXUCWgiNENAXwfOGVECQ0BcIEHxY0RDQAMJih9jTkNAqaROQBPJQkDbiv1l9wxDQMSxLm6jKUNA9pfdk4cVQ0BmZmZmZhZDQKrx0k1iIENAAAAAAAD4QkBCz2bV5wpDQHGsi9toOENAJCh+jLlbQ0C0WfW52gJDQOf7qfHSFUNARdjw9EoxQ0DmP6Tfvg5DQP2H9NvXKUNALUMc6+JGQ0C1FfvL7vlCQNEi2/l+AkNACtejcD1CQ0BlGeJYF+dCQPs6cM6ISkNAHVpkO98PQ0AQWDm0yP5CQAU0ETY89UJAF0hQ/BjzQkAu/yH99vVCQLPqc7UVw0JA3+ALk6kyQ0COdXEbDRBDQOLplbIMMUNAaQBvgQQdQ0A4Z0RpbwBDQLhAguLHEENA24r9ZffkQkA8vVKWIeZCQMZtNIC3KENAVOOlm8QgQ0DnjCjtDX5DQLaEfNCzgUNAt9EA3gIhQ0BMpgpGJQVDQAMJih9jRkNAd76fGi9NQ0DMXUvIBxVDQJvmHafoOENAINJvXwfeQkDLoUW2841DQNbFbTSAN0NAylTBqKRGQ0C6awn5oGdDQO0NvjCZWkNA5BQdyeVXQ0AmUwWjkgJDQJjdk4eFGkNAsAPnjChlQ0Di6ZWyDPlCQC9uowG8dUNAuB6F61F4Q0CVZYhjXTRDQAHeAgmKH0NAhxbZzvcjQ0AawFsgQQFDQFOWIY51GUNAXW3F/rIbQ0C4rwPnjNBCQM6I0t7gc0NAEhQ/xtyVQ0C2hHzQsyFDQEMc6+I2MkNASFD8GHMfQ0D6fmq8dGNDQJ2AJsKG30JANe84RUe6QkCeXinLEB9DQAmKH2PuQkNAzojS3uAbQ0CSXP5D+hVDQMuhRbbzNUNAfT81Xrr5QkDswDkjSiNDQG1Wfa62AkNAI0p7gy8UQ0Au/yH99h1DQFfsL7snP0NACyQofoxhQ0DXEvJBz3ZDQDQRNjy9QkNAPzVeukk8Q0DFjzF3LRFDQD/G3LWELENA/mX35GEhQ0BiEFg5tOhCQGDl0CLbOUNAfh04Z0SZQ0DzjlN0JI9DQM6I0t7gS0NA/kP67etgQ0ApXI/C9fhCQCPb+X5qRENAvw6cM6KkQkAp7Q2+MNlCQK5H4XoUDkNAB84ZUdpTQ0DBqKROQCtDQEtZhjjW/UJAPzVeuklEQ0AqqRPQREBDQIJzRpT2PkNAj1N0JJdHQ0C1N/jCZDpDQPaX3ZOHXUNAZ0Rpb/BdQ0AldQKaCFtDQG1Wfa62CkNAF0hQ/BgbQ0AhsHJoke1CQG/whclU8UJALSEf9GzeQkBHA3gLJAhDQFYOLbKd/0JAUiegibDxQkDb+X5qvERDQMGopE5AU0NA3nGKjuQqQ0AxCKwcWiRDQF5LyAc9E0NAOpLLf0gvQ0CpE9BE2IhDQBIUP8bcpUJARdjw9EoRQ0C4QILixxhDQEI+6NmsAkNA1zTvOEX3QkBmZmZmZvZCQHe+nxovTUNA1edqK/Y3Q0CDUUmdgE5DQIEmwoanJ0NAwOyePCxcQ0DarPpcbR1DQAYSFD/GVENAylTBqKROQ0A/xty1hAxDQHZPHhZqFUNAB84ZUdoDQ0Dc14FzRtxCQCntDb4wUUNAuK8D54xYQ0AWak3zjhtDQIBIv30dEENAGy/dJAY5Q0B/arx0kyBDQFuxv+yeDENASZ2AJsL2QkDUK2UZ4gBDQBWMSuoEXENApgpGJXXyQkBUUiegifhCQK62Yn/ZFUNAodY07zgVQ0ARx7q4jdZCQBZqTfOO60JAFmpN847rQkCZu5aQD/pCQBUdyeU/FENA8KfGSzchQ0ASpb3BFxZDQFZ9rrZi10JAKxiV1AnoQkA6I0p7g/9CQMl2vp8aL0NA54wo7Q0eQ0CKjuTyHxpDQKMBvAUSHENA/yH99nUAQ0DDZKpgVAJDQI4G8BZI8EJAvHSTGAQGQ0D7OnDOiApDQJtVn6utUENAwcqhRbYzQ0C+MJkqGNVCQM9m1edqs0JADXGsi9vIQkCGONbFbaRCQJ/Nqs/VvkJAFvvL7smrQkAU0ETY8LRCQH/7OnDO6EJALv8h/fbtQkAJih9j7jJDQEtZhjjWNUNAwFsgQfFTQ0BrK/aX3RNDQOXyH9JvJ0NA48eYu5YoQ0BTBaOSOlFDQD9XW7G/FENAIv32deAEQ0CjkjoBTRRDQCS5/If0Q0NANe84RUc6Q0CPU3Qklx9DQNBE2PD0MkNA3nGKjuQSQ0AfhetRuD5DQCgPC7Wm+UJAIR/0bFZFQ0BrK/aX3StDQIJzRpT2PkNA6Ugu/yElQ0CZu5aQD1JDQIj029eBS0NA6SYxCKxcQ0Aep+hILt9CQDQRNjy9OkNATKYKRiXNQkDxY8xdS+BCQBIUP8bcbUNAfT81XrrRQkAAkX77OjhDQJHtfD81HkNAnYAmwoYHQ0DF/rJ78uhCQMnlP6TfFkNAkDF3LSH3QkAr9pfdkydDQNv5fmq8JENA6SYxCKwUQ0C/fR04ZwxDQJF++zpw9kJAAd4CCYoXQ0BSJ6CJsClDQHZPHhZqHUNAGCZTBaMSQ0D9h/Tb1xlDQMZtNIC3IENAOpLLf0gnQ0CuR+F6FO5CQPYoXI/CDUNAKA8Ltab5QkDJ5T+k3yZDQHL5D+m3F0NATmIQWDl0Q0CneccpOnJDQEku/yH9JkNAfoy5awkRQ0Cn6Egu/ylDQNCzWfW5KkNAyeU/pN/+QkDuWkI+6GFDQHDOiNLeUENAfGEyVTAaQ0B88rBQazJDQC/dJAaBTUNArK3YX3bXQkDsL7snD8NCQF8HzhlRukJAMnctIR8sQ0Ck374OnANDQLAD54woJUNA2c73U+MVQ0C5/If020dDQPvL7snDKkNAfGEyVTASQ0CRfvs6cBZDQDxO0ZFc/kJAHVpkO98vQ0BYqDXNO2ZDQF5LyAc9E0NAhjjWxW3MQkCaCBueXgFDQCuHFtnO50JAD5wzorRfQ0Dl8h/SbzdDQJMYBFYOhUNA5WGh1jT3QkDRItv5fjpDQLhAguLH6EJAGQRWDi1KQ0C+MJkqGN1CQFvTvOMUzUJAOpLLf0iXQ0Av3SQGgc1CQBBYObTItkJAtMh2vp/CQkBiodY07/hCQJEPejar7kJAgQTFjzEPQ0AeFmpN82ZDQAAAAAAAiENAcvkP6bdXQ0DHSzeJQUhDQJXUCWgiTENApU5AE2HzQkBgdk8eFiJDQBlz1xLyGUNAbef7qfESQ0D+Q/rt60hDQLfRAN4CEUNAwTkjSnsDQ0DZX3ZPHvZCQNc07zhFT0NAKH6MuWsZQ0AyVTAqqRtDQDojSnuDB0NAJJf/kH7DQkCV1AloItxCQPwYc9cSGkNA4lgXt9FQQ0ClvcEXJvNCQFTjpZvEmENA+1xtxf5KQ0DuWkI+6EFDQNlfdk8eBkNA93XgnBFVQ0CaCBueXtFCQAg9m1WfU0NA8fRKWYaAQ0B4CyQofnRDQFwgQfFjXENAWRe30QAuQ0BPr5RliCtDQMDsnjws7EJA0gDeAglyQ0CamZmZmVlDQLPqc7UVC0NAYhBYObRAQ0DByqFFthNDQNv5fmq8jENAi2zn+6lpQ0A3GsBbIBFDQAg9m1WfS0NArK3YX3b/QkDUK2UZ4mBDQKOSOgFN5EJAC7WmeccRQ0DImLuWkAdDQCEf9GxWBUNAhetRuB71QkDUmuYdp/BCQPtcbcX+YkNAMlUwKqnjQkCQMXctIe9CQLn8h/TbN0NAB84ZUdrjQkAN4C2QoOBCQKFns+pzVUNAV1uxv+x+Q0CC4seYu0ZDQFTjpZvEkEJAE/JBz2Z1Q0BwzojS3uBCQKqCUUmdIENAsb/snjwsQ0BWfa62Ym9DQHZPHhZqbUNA001iEFghQ0DwFkhQ/EhDQHWTGARWZkNA7uvAOSMKQ0CR7Xw/NQZDQLbz/dR4yUJASFD8GHPvQkDek4eFWstCQMPTK2UZ4kJA2ht8YTLtQkAm5IOezfJCQOY/pN++NkNAjZduEoOwQkCiRbbz/axCQMRCrWne6UJAl5APejZ7Q0AnMQisHHJDQKHWNO84tUJAowG8BRL8QkDufD81XvpCQIv9Zffk6UJAa5p3nKITQ0BB8WPMXUNDQEhQ/BhzF0NAokW28/0sQ0C3Yn/ZPRlDQIiFWtO8I0NATRWMSur8QkChZ7Pqcx1DQLpJDAIrP0NARiV1Apr4QkD/snvysMhCQIqw4emVAkNAYcPTK2XpQkDCFyZTBbtCQJwzorQ3iENAP1dbsb9MQ0AtIR/0bBZDQGaIY13cPkNA6pWyDHFEQ0CTqYJRSU1DQIC3QILiL0NAqDXNO04hQ0B2Tx4Wal1DQF+YTBWMKkNAuK8D54y4QkBApN++DqxDQJ88LNSatkJAHThnRGnnQkCKjuTyH/JCQFwgQfFjzEJAPE7RkVwuQ0CTGARWDvVCQMBbIEHxI0NAWmQ730/9QkBIUPwYc+dCQCuHFtnO70JAg1FJnYBeQ0BRa5p3nGJDQIts5/upSUNAMuauJeQTQ0BQjZduEstCQKJFtvP9BENAn82qz9VWQ0C/fR04ZzRDQEjhehSuH0NAFD/G3LVkQ0AdOGdEaU9DQL1SliGOVUNA78nDQq2BQ0B6Nqs+VyNDQDJVMCqpU0NAWvW52ootQ0C8BRIUP3ZDQBdIUPwYA0NAuycPC7XmQkDQ1VbsLyNDQA4tsp3vx0JA46WbxCDYQkDf4AuTqRpDQKVOQBNhC0NAtFn1udoqQ0Bn1edqKz5DQMbctYR8MENAfT81Xrq5QkCOBvAWSMhCQC0hH/RsBkNAdk8eFmrlQkCqglFJnWhDQOVhodY0D0NAfoy5awk5Q0BkzF1LyAdDQO7rwDkjMkNAtRX7y+4hQ0ClvcEXJjNDQF5LyAc9U0NApb3BFybTQkCcM6K0N+BCQBkEVg4tKkNARIts5/thQ0BaZDvfT+VCQMpUwaikPkNA2T15WKhtQ0Aep+hILndDQI2XbhKD+EJADXGsi9tAQ0CMSuoENClDQGlv8IXJBENAE2HD0ysdQ0AAkX77OoBDQHe+nxovFUNAQBNhw9NTQ0ALJCh+jFFDQLHh6ZWy/EJAXrpJDAL7QkCQoPgx5hZDQCfChqdXmkJApSxDHOvKQkDUmuYdp/hCQPcGX5hMLUNAKe0NvjBRQ0DZPXlYqF1DQCGwcmiRFUNAZmZmZmYOQ0CTOgFNhBVDQJOpglFJXUNAUdobfGFiQ0B0JJf/kD5DQFUwKqkTAENA1XjpJjFAQ0BiodY07xBDQERpb/CFQUNArIvbaAAfQ0BaZDvfTw1DQOzAOSNK60JA/kP67esQQ0D/snvysFhDQCL99nXgHENA0gDeAgkCQ0BGJXUCmtBCQDxO0ZFc5kJA4C2QoPgxQ0Coxks3iSlDQELPZtXnGkNAhxbZzvfjQkALtaZ5x9lCQHctIR/0HENAuY0G8BYYQ0Bz1xLyQQ9DQH3Qs1n1GUNA7zhFR3IRQ0DYgXNGlAZDQBNhw9MrDUNAxm00gLcoQ0DdJAaBlSNDQNcS8kHPtkJAeVioNc0LQ0ArGJXUCShDQA6+MJkqQENAHThnRGnvQkAtsp3vpwZDQI0o7Q2+yEJA7C+7Jw/bQkDYgXNGlK5CQPjCZKpg1EJA5dAi2/keQ0BWDi2ynR9DQLwFEhQ/PkNA46WbxCAoQ0BRa5p3nAJDQHgLJCh+TENA/7J78rD4QkBPQBNhwzNDQBZqTfOOK0NAvHSTGARGQ0BI4XoUrg9DQATnjCjt5UJA8WPMXUv4QkBIv30dOA9DQOxRuB6FK0NAGlHaG3wZQ0Dgvg6cMzpDQCUGgZVDG0NAK/aX3ZMXQ0BUdCSX/yhDQF1txf6yM0NA8KfGSzcBQ0BiEFg5tDBDQKK0N/jCRENAW7G/7J48Q0DByqFFtoNDQPfkYaHWdENAgQTFjzEXQ0AzMzMzMzNDQMIXJlMFY0NAPE7RkVwGQ0C1pnnHKWJDQGB2Tx4WUkNA7MA5I0p7Q0ArhxbZzgdDQPOOU3QkJ0NAGCZTBaMaQ0BrK/aX3QNDQJHtfD81RkNAUPwYc9dKQ0AZBFYOLRJDQPmgZ7PqG0NAFD/G3LUUQ0CmCkYldVJDQEhQ/BhzV0NAyJi7lpAnQ0C1N/jCZBpDQLU3+MJkGkNAm1Wfq60AQ0DOGVHaGxRDQEATYcPTI0NAY3/ZPXkoQ0DNzMzMzBRDQLivA+eMQENAi2zn+6kZQ0CKjuTyHyJDQO5aQj7oCUNAt9EA3gIJQ0DRkVz+Q/pCQFD8GHPXEkNAqaROQBNJQ0DHKTqSywdDQJ88LNSaFkNAfoy5awnZQkAMk6mCUWlDQDLmriXkU0NA/Bhz1xISQ0Cq8dJNYhhDQFCNl24SS0NAUdobfGESQ0BzaJHtfC9DQIlBYOXQCkNAduCcEaX9QkAhH/RsViVDQGx4eqUsQ0NAGCZTBaNqQ0Ck374OnCtDQP7UeOkmYUNAeekmMQgEQ0BN845TdAxDQKabxCCwSkNAat5xio4UQ0Ba9bnaii1DQFFrmnecCkNAAG+BBMXXQkB1kxgEVjZDQOOlm8QgKENA9dvXgXMuQ0AqOpLLf3BDQIZa07zjFENABOeMKO3tQkDY8PRKWU5DQPkP6bevS0NAMnctIR9cQ0DhehSuRyFDQCgPC7WmOUNA5j+k374mQ0BxGw3gLdhCQOVhodY0J0NAsHJoke0cQ0ChZ7Pqc+1CQP7UeOkmGUNAd76fGi9VQ0CHFtnO9yNDQLdif9k9SUNAPL1SliHuQkBCz2bV5wpDQNPe4AuTQUNACfmgZ7M6Q0CneccpOlpDQJVliGNdBENARUdy+Q8RQ0Akl/+QfttCQBKDwMqhLUNA5q4l5IM+Q0CRD3o2qxZDQLN78rBQG0NAsi5uowGEQ0CvlGWIY2VDQFK4HoXrMUNAs+pztRWTQ0BoImx4etVCQI/C9ShcH0NAFmpN847jQkDEsS5uo/FCQC0hH/Rs9kJAIR/0bFb9QkCHp1fKMvRCQLIubqMBPENA7Q2+MJniQkB1kxgEVtZCQLraiv1lN0NA001iEFjJQkDcaABvgdxCQP5D+u3reENAxf6ye/KwQ0Bg5dAi2/lCQKYKRiV18kJAtRX7y+4hQ0A2zTtO0QlDQAU0ETY8NUNA5dAi2/n+QkAIrBxaZEtDQIZa07zjLENAK/aX3ZMPQ0CPwvUoXNdCQH2utmJ/EUNANqs+V1s5Q0AzMzMzM0tDQOXQItv53kJAdCSX/5AmQ0A0orQ3+MJCQJzEILBymEJA0SLb+X6iQkD+ZffkYblCQGEyVTAq8UJA2V92Tx5OQ0AyVTAqqXNDQP+ye/KwWENAIv32deB8Q0BSuB6F6+lCQLMMcayL00JA7MA5I0oLQ0Cq8dJNYgBDQI/k8h/SD0NAaJHtfD8tQ0BqTfOOU0RDQKMjufyHXENAR3L5D+knQ0CRD3o2qzZDQGZmZmZmHkNATtGRXP6LQ0DAWyBB8dNCQN6Th4VaM0NAXynLEMcaQ0A8TtGRXP5CQH4dOGdEAUNACyQofozJQkCh1jTvOGVDQMdLN4lBCENA097gC5MJQ0CSXP5D+tVCQFafq63YH0NA2T15WKgdQ0BEaW/whSlDQMe6uI0G6EJAGXPXEvIpQ0Dbiv1l99xCQK62Yn/ZvUJA9P3UeOn2QkC0yHa+n8pCQFdbsb/sBkNAtaZ5xykaQ0B5WKg1zStDQOC+DpwzWkNA9UpZhjhmQ0A6I0p7gx9DQOSDns2qX0NAV1uxv+xeQ0CoNc07ThlDQJ5eKcsQT0NACKwcWmQrQ0AfhetRuBZDQEJg5dAia0NAYqHWNO+IQ0D/If32dYBDQOeMKO0NnkNArfpcbcVOQ0BPr5RliBtDQNc07zhFx0JA7C+7Jw/jQkCgGi/dJC5DQDLmriXkS0NACmgibHhSQ0B90LNZ9TFDQBkEVg4tAkNA+1xtxf5CQ0AukKD4MTZDQAN4CyQoDkNAlrIMcaw7Q0AB3gIJis9CQJ+rrdhfRkNAw2SqYFQCQ0A7AU2EDWdDQPKwUGuaV0NAn6ut2F8mQ0CPU3QklwdDQLprCfmg30JA1lbsL7sXQ0BvEoPAyiFDQHPXEvJBP0NAmnecoiMJQ0CIY13cRktDQNlfdk8eRkNA1CtlGeIYQ0AdyeU/pN9CQAu1pnnHAUNAMuauJeTrQkCh1jTvOEVDQNxoAG+B9EJAxY8xdy25QkDImLuWkPdCQCxlGeJYx0JAqoJRSZ34QkC4QILixwhDQO/Jw0Kt2UJAz2bV52oDQ0ApXI/C9QhDQPKwUGuar0JA7uvAOSMyQ0BvEoPAygFDQG3n+6nxKkNAGeJYF7cRQ0DaG3xhMh1DQARWDi2yBUNAY3/ZPXk4Q0ADCYofYxZDQLx0kxgEDkNAqz5XW7EfQ0A+6Nms+iRDQI/C9Shcz0JAd76fGi8FQ0AQ6bevAz9DQLivA+eMcENAOiNKe4MPQ0AMAiuHFjlDQEXY8PRKCUNA4umVsgwRQ0DKw0KtaQ5DQOeMKO0NTkNASZ2AJsJmQ0Cyne+nxgtDQHL5D+m3/0JAH/RsVn32QkDHSzeJQThDQDj4wmSqMENA9P3UeOlWQ0C2hHzQszFDQBNhw9MrbUNAcvkP6bcnQ0AgQfFjzBVDQBniWBe3KUNApb3BFyYrQ0B0tRX7y1ZDQL7BFyZT7UJAeVioNc2zQkBn1edqKx5DQBUdyeU/lENA/Bhz1xIiQ0BHcvkP6f9CQFafq63Yh0NAl5APejYLQ0CIY13cRiNDQCuHFtnOD0NAQYLix5hTQ0DfT42XbpJDQNSa5h2nsENAoWez6nONQ0Cu2F92T5ZDQNPe4AuTuUNAak3zjlOUQ0Atsp3vp6ZDQAkbnl4ps0NA6bevA+d0Q0Abnl4py3hDQPd14JwRZUNAm1Wfq62IQ0ClTkATYTNDQNNNYhBYGUNAC7WmecfhQkAKaCJseApDQLbz/dR4MUNASZ2AJsL+QkAm5IOezSJDQEOtad5xKkNAdLUV+8v2QkAqqRPQRNBCQC1DHOviLkNA7zhFR3IRQ0AZBFYOLQpDQDxO0ZFcvkJAppvEILD6QkACvAUSFE9DQH2utmJ/CUNAqoJRSZ1YQ0BfKcsQxzpDQLRZ9bna8kJARrbz/dT4QkDnHafoSF5DQKqCUUmd6EJAqaROQBPxQkAZ4lgXt8lCQPhT46WbrEJAwcqhRbbbQkBn1edqK95CQPFjzF1LaENANqs+V1uBQ0D+Q/rt6whDQM/3U+OlC0NAmggbnl4xQ0C4rwPnjABDQHNoke18D0NAufyH9NsPQ0BWDi2yne9CQET67evAAUNANxrAWyBBQ0DFjzF3LTlDQCzUmuYdP0NAliGOdXGjQ0D7y+7Jw/pCQCo6kst/yEJAKjqSy3/IQkAIPZtVn+tCQCZTBaOS0kJAWMoyxLFOQ0DjpZvEIPBCQOJYF7fR+EJAOPjCZKogQ0DHuriNBtBCQNSa5h2nIENALpCg+DHmQkBXW7G/7DZDQGgibHh6NUNAH4XrUbh+Q0BPr5RliINDQAYSFD/GVENApU5AE2GjQ0DlYaHWNLdDQPOOU3Qkh0NAXrpJDALLQkDXNO84RSdDQIts5/upGUNACyQofoxhQ0BCz2bV5/pCQM4ZUdobRENA8KfGSzchQ0BwzojS3lBDQBBYObTI5kJAY+5aQj4QQ0AbL90kBmFDQF1txf6yK0NAO99PjZeGQ0AHX5hMFYRDQCZTBaOSYkNAT6+UZYiTQ0BvEoPAynlDQDSitDf4ykNAMZkqGJW8QkBos+pztSVDQOVhodY0B0NAqFfKMsRhQ0DKVMGopCZDQHUCmggbJkNAc9cS8kEnQ0AJG55eKVtDQCxlGeJYD0NALGUZ4lgPQ0CpE9BE2FBDQGiR7Xw/TUNAf9k9eVjoQkDP91PjpatCQNxGA3gLpENA63O1FftTQ0BJLv8h/XZDQH2utmJ/SUNAw/UoXI96Q0B+jLlrCWFDQPOOU3QkR0NAtMh2vp/6QkCjI7n8hxxDQE0VjErqFENAsi5uowEUQ0BwzojS3lhDQHe+nxovZUNAn6ut2F9OQ0AXSFD8GBNDQG+BBMWPWUNACfmgZ7MSQ0CFfNCzWS1DQDPEsS5u+0JAGJXUCWhCQ0CyLm6jAXxDQCntDb4w8UJAmEwVjEr6QkCgibDh6SVDQMe6uI0GKENATmIQWDn0QkCRD3o2qwZDQOPHmLuWMENABcWPMXdFQ0BxrIvbaDhDQDXvOEVHOkNA5fIf0m//QkAHX5hMFTRDQJjdk4eFUkNAmN2Th4VSQ0CamZmZmblDQCcxCKwcgkNAdy0hH/QcQ0AK16NwPfpCQGdEaW/wPUNAsp3vp8bzQkA=\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[4000]},\"sigma\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[4000]},\"sigma\":{\"__ndarray__\":\"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Application\",\"version\":\"2.3.3\"}};\n", " var render_items = [{\"docid\":\"4e045853-0415-4684-9163-29c1a2df9aee\",\"root_ids\":[\"10186\"],\"roots\":{\"10186\":\"a5193d5a-0c07-4421-ae15-c0110b9e9895\"}}];\n", " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", "\n", " }\n", " if (root.Bokeh !== undefined) {\n", " embed_document(root);\n", " } else {\n", " var attempts = 0;\n", " var timer = setInterval(function(root) {\n", " if (root.Bokeh !== undefined) {\n", " clearInterval(timer);\n", " embed_document(root);\n", " } else {\n", " attempts++;\n", " if (attempts > 100) {\n", " clearInterval(timer);\n", " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n", " }\n", " }\n", " }, 10, root)\n", " }\n", "})(window);" ], "application/vnd.bokehjs_exec.v0+json": "" }, "metadata": { "application/vnd.bokehjs_exec.v0+json": { "id": "10186" } }, "output_type": "display_data" } ], "source": [ "bokeh.io.show(\n", " bebi103.viz.corner(\n", " samples,\n", " parameters=[(\"phi\", \"ϕ [µm]\"), (\"gamma_\", \"γ\"), (\"sigma\", \"σ [µm]\")],\n", " plot_ecdf=True,\n", " xtick_label_orientation=np.pi / 4,\n", " )\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Corner plots are my preferred method of displaying results. All possible display-able marginal posteriors are plotted and laid out in a logical way." ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "bebi103.stan.clean_cmdstan()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Computing environment" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Python implementation: CPython\n", "Python version : 3.9.7\n", "IPython version : 7.29.0\n", "\n", "numpy : 1.20.3\n", "pandas : 1.3.5\n", "cmdstanpy : 1.0.0\n", "arviz : 0.11.4\n", "bokeh : 2.3.3\n", "holoviews : 1.14.6\n", "iqplot : 0.2.4\n", "bebi103 : 0.1.10\n", "jupyterlab: 3.2.1\n", "\n", "cmdstan : 2.28.2\n" ] } ], "source": [ "%load_ext watermark\n", "%watermark -v -p numpy,pandas,cmdstanpy,arviz,bokeh,holoviews,iqplot,bebi103,jupyterlab\n", "print(\"cmdstan :\", bebi103.stan.cmdstan_version())" ] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.9.7" } }, "nbformat": 4, "nbformat_minor": 4 }