From 69210460f5fb69b309086a02ae2d9c831408b659 Mon Sep 17 00:00:00 2001
From: jukent <jukent@users.noreply.github.com>
Date: Fri, 8 Dec 2023 13:39:30 +0000
Subject: [PATCH] deploy: fe5292de7eddb6affbdf329ea1e153b73ac2dad1

---
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diff --git a/_preview/40/.buildinfo b/_preview/40/.buildinfo
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+# Sphinx build info version 1
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+   Advanced Visualization Cookbook
+  </a>
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+<p aria-level="2" class="caption" role="heading">
+ <span class="caption-text">
+  Preamble
+ </span>
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+<p aria-level="2" class="caption" role="heading">
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+  Basics of Geoscience Visualization
+ </span>
+</p>
+<ul class="nav bd-sidenav">
+ <li class="toctree-l1">
+  <a class="reference internal" href="notebooks/1-comparison.html">
+   Comparison of Visualization Packages
+  </a>
+ </li>
+ <li class="toctree-l1">
+  <a class="reference internal" href="notebooks/2-good-viz.html">
+   What Makes for Good Data Visualization?
+  </a>
+ </li>
+ <li class="toctree-l1">
+  <a class="reference internal" href="notebooks/3-plot-elements.html">
+   Plot Elements
+  </a>
+ </li>
+</ul>
+<p aria-level="2" class="caption" role="heading">
+ <span class="caption-text">
+  Specialty Plots
+ </span>
+</p>
+<ul class="nav bd-sidenav">
+ <li class="toctree-l1">
+  <a class="reference internal" href="notebooks/4-taylor-diagrams.html">
+   Taylor Diagrams
+  </a>
+ </li>
+ <li class="toctree-l1">
+  <a class="reference internal" href="notebooks/5-skewt.html">
+   Skew T Diagrams
+  </a>
+ </li>
+</ul>
+<p aria-level="2" class="caption" role="heading">
+ <span class="caption-text">
+  Visualization of Structured Grids
+ </span>
+</p>
+<ul class="nav bd-sidenav">
+ <li class="toctree-l1">
+  <a class="reference internal" href="notebooks/6-spaghetti.html">
+   Spaghetti Plots
+  </a>
+ </li>
+</ul>
+<p aria-level="2" class="caption" role="heading">
+ <span class="caption-text">
+  Animation
+ </span>
+</p>
+<ul class="nav bd-sidenav">
+ <li class="toctree-l1">
+  <a class="reference internal" href="notebooks/7-animation.html">
+   Animation
+  </a>
+ </li>
+</ul>
+<p aria-level="2" class="caption" role="heading">
+ <span class="caption-text">
+  Interactivity
+ </span>
+</p>
+<ul class="nav bd-sidenav">
+ <li class="toctree-l1">
+  <a class="reference internal" href="notebooks/8-interactive-holoviz-mpas.html">
+   HoloViz Visualization
+  </a>
+ </li>
+</ul>
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+                <ul class="visible nav section-nav flex-column">
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#motivation">
+   Motivation
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#authors">
+   Authors
+  </a>
+  <ul class="nav section-nav flex-column">
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#contributors">
+     Contributors
+    </a>
+   </li>
+  </ul>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#structure">
+   Structure
+  </a>
+  <ul class="nav section-nav flex-column">
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#basics-of-geoscience-visualization">
+     Basics of Geoscience Visualization
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#specialty-plots">
+     Specialty Plots
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#visualization-of-structured-grids">
+     Visualization of Structured Grids
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#animation">
+     Animation
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#interactivity">
+     Interactivity
+    </a>
+   </li>
+  </ul>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#running-the-notebooks">
+   Running the Notebooks
+  </a>
+  <ul class="nav section-nav flex-column">
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#running-on-binder">
+     Running on Binder
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#running-on-your-own-machine">
+     Running on Your Own Machine
+    </a>
+   </li>
+  </ul>
+ </li>
+</ul>
+
+            </nav>
+        </div>
+    </div>
+</div>
+          <div id="main-content" class="row">
+            <div class="col-12 col-md-9 pl-md-3 pr-md-0">
+              
+              <div>
+                
+  <a class="reference internal image-reference" href="_images/thumbnail.png"><img alt="thumbnail" src="_images/thumbnail.png" style="width: 300px;" /></a>
+<div class="tex2jax_ignore mathjax_ignore section" id="advanced-visualization-cookbook">
+<h1>Advanced Visualization Cookbook<a class="headerlink" href="#advanced-visualization-cookbook" title="Permalink to this headline"><i class="fas fa-link"></i></a></h1>
+<p><a class="reference external" href="https://binder.projectpythia.org/v2/gh/ProjectPythia/advanced-viz-cookbook.git/main?labpath=notebooks"><img alt="Binder" src="https://binder.projectpythia.org/badge_logo.svg" /></a>
+<a class="reference external" href="https://zenodo.org/badge/latestdoi/671205314"><img alt="DOI" src="https://zenodo.org/badge/671205314.svg" /></a></p>
+<p>This Project Pythia Cookbook covers advanced visualization techniques building upon and combining various Python packages.</p>
+<div class="section" id="motivation">
+<h2>Motivation<a class="headerlink" href="#motivation" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>The possibilities of data visualization in Python are almost endless. Already using <code class="docutils literal notranslate"><span class="pre">matplotlib</span></code> the workhorse behind many visualization packages, the user has a lot of customization options available to them. <code class="docutils literal notranslate"><span class="pre">cartopy</span></code>, <code class="docutils literal notranslate"><span class="pre">metpy</span></code>, <code class="docutils literal notranslate"><span class="pre">seaborn</span></code>, <code class="docutils literal notranslate"><span class="pre">geocat-viz</span></code>, and <code class="docutils literal notranslate"><span class="pre">datashader</span></code> are all also great packages that can offer unique additions to your Python visualization toolbox.</p>
+<p>This Cookbook will house various visualization workflow examples that use different visualization packages, highlight the differences in functionality between the packages, any noteable syntax distinctions, and demonstrate combining tools to achieve a specific outcome.</p>
+</div>
+<div class="section" id="authors">
+<h2>Authors<a class="headerlink" href="#authors" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p><span class="xref myst">Julia Kent</span>, <span class="xref myst">Anissa Zacharias</span>, <span class="xref myst">Orhan Eroglu</span>, <span class="xref myst">Philip Chmielowiec</span>, <span class="xref myst">John Clyne</span></p>
+<div class="section" id="contributors">
+<h3>Contributors<a class="headerlink" href="#contributors" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<a href="https://github.com/ProjectPythia/advanced-viz-cookbook/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=ProjectPythia/advanced-viz-cookbook" />
+</a>
+</div>
+</div>
+<div class="section" id="structure">
+<h2>Structure<a class="headerlink" href="#structure" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>This cookbook is broken up into a few sections - a “Basics of Geoscience Visualization” intro that compares different visualization packages and plot elements, and then example workflows of advanced visualization applications that are further subdivided.</p>
+<div class="section" id="basics-of-geoscience-visualization">
+<h3>Basics of Geoscience Visualization<a class="headerlink" href="#basics-of-geoscience-visualization" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Here we introduce the basics of geoscience visualization, the elements of a plot, different types of plots, and some unique considerations when dealing with model and measured data. Here we also share a comparison of different visualization packages available to the Scientific Python programmer.</p>
+</div>
+<div class="section" id="specialty-plots">
+<h3>Specialty Plots<a class="headerlink" href="#specialty-plots" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>There are some plot types that are unique to atmospheric science such as Taylor Diagrams or Skew-T plots. Here we will use <a class="reference external" href="https://unidata.github.io/MetPy/latest/index.html"><code class="docutils literal notranslate"><span class="pre">metpy</span></code></a> and <a class="reference external" href="https://geocat-viz.readthedocs.io/en/latest/"><code class="docutils literal notranslate"><span class="pre">geocat-viz</span></code></a> to demonstrate these specialty plots.</p>
+</div>
+<div class="section" id="visualization-of-structured-grids">
+<h3>Visualization of Structured Grids<a class="headerlink" href="#visualization-of-structured-grids" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>In this section we will demonstrate how to visualize data that is on a structured grid. Namely, we will look at Spaghetti Hurricane plots. Here we will have workflows that utilize packages such as <a class="reference external" href="https://scitools.org.uk/cartopy/docs/latest/"><code class="docutils literal notranslate"><span class="pre">cartopy</span></code></a> and <a class="reference external" href="https://geocat-viz.readthedocs.io/en/latest/"><code class="docutils literal notranslate"><span class="pre">geocat-viz</span></code></a>.</p>
+</div>
+<div class="section" id="animation">
+<h3>Animation<a class="headerlink" href="#animation" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Animated plots are great tools for science communication and outreach. We will demonstrate how to make your plots come to life. In this book, we use “animated plots” to refer to stable animations, such as the creation of gifs or videos.</p>
+</div>
+<div class="section" id="interactivity">
+<h3>Interactivity<a class="headerlink" href="#interactivity" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Dynamically rendering, animating, panning &amp; zooming over a plot can be great to increase data fidelity. We will showcase how to use Holoviz technologies with Bokeh backend to create interactive plots, utilizing an unstructured grid data in the Model for Prediction Across Scales (MPAS) format.</p>
+</div>
+</div>
+<div class="section" id="running-the-notebooks">
+<h2>Running the Notebooks<a class="headerlink" href="#running-the-notebooks" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>You can either run the notebook using <a class="reference external" href="https://binder.projectpythia.org/">Binder</a> or on your local machine.</p>
+<div class="section" id="running-on-binder">
+<h3>Running on Binder<a class="headerlink" href="#running-on-binder" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>The simplest way to interact with a Jupyter Notebook is through
+<a class="reference external" href="https://binder.projectpythia.org/">Binder</a>, which enables the execution of a
+<a class="reference external" href="https://jupyterbook.org">Jupyter Book</a> in the cloud. The details of how this works are not
+important for now. All you need to know is how to launch a Pythia
+Cookbooks chapter via Binder. Simply navigate your mouse to
+the top right corner of the book chapter you are viewing and click
+on the rocket ship icon, (see figure below), and be sure to select
+“launch Binder”. After a moment you should be presented with a
+notebook that you can interact with. I.e. you’ll be able to execute
+and even change the example programs. You’ll see that the code cells
+have no output at first, until you execute them by pressing
+<kbd class="kbd docutils literal notranslate">Shift</kbd>+<kbd class="kbd docutils literal notranslate">Enter</kbd>. Complete details on how to interact with
+a live Jupyter notebook are described in <a class="reference external" href="https://foundations.projectpythia.org/foundations/getting-started-jupyter.html">Getting Started with
+Jupyter</a>.</p>
+</div>
+<div class="section" id="running-on-your-own-machine">
+<h3>Running on Your Own Machine<a class="headerlink" href="#running-on-your-own-machine" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>If you are interested in running this material locally on your com</p>
+<ol class="arabic">
+<li><p>Clone the <code class="docutils literal notranslate"><span class="pre">https://github.com/ProjectPythia/advanced-viz-cookbook</span></code> repository:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="w"> </span>git<span class="w"> </span>clone<span class="w"> </span>https://github.com/ProjectPythia/advanced-viz-cookbook.git
+</pre></div>
+</div>
+</li>
+<li><p>Move into the <code class="docutils literal notranslate"><span class="pre">advanced-viz-cookbook</span></code> directory</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="nb">cd</span><span class="w"> </span>advanced-viz-cookbook
+</pre></div>
+</div>
+</li>
+<li><p>Create and activate your conda environment from the <code class="docutils literal notranslate"><span class="pre">environment.yml</span></code> file</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>conda<span class="w"> </span>env<span class="w"> </span>create<span class="w"> </span>-f<span class="w"> </span>environment.yml
+conda<span class="w"> </span>activate<span class="w"> </span>advanced-viz-cookbook
+</pre></div>
+</div>
+</li>
+<li><p>Move into the <code class="docutils literal notranslate"><span class="pre">notebooks</span></code> directory and start up Jupyterlab</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="nb">cd</span><span class="w"> </span>notebooks/
+jupyter<span class="w"> </span>lab
+</pre></div>
+</div>
+</li>
+</ol>
+</div>
+</div>
+<div class="toctree-wrapper compound">
+</div>
+<div class="toctree-wrapper compound">
+</div>
+<div class="toctree-wrapper compound">
+</div>
+<div class="toctree-wrapper compound">
+</div>
+<div class="toctree-wrapper compound">
+</div>
+<div class="toctree-wrapper compound">
+</div>
+</div>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./."
+        },
+        predefinedOutput: true
+    }
+    </script>
+    <script>kernelName = 'python3'</script>
+
+              </div>
+              <!-- Previous / next buttons -->
+<div class='prev-next-area'>
+    <a class='right-next' id="next-link" href="notebooks/how-to-cite.html" title="next page">
+    <div class="prev-next-info">
+        <p class="prev-next-subtitle">next</p>
+        <p class="prev-next-title">How to Cite This Cookbook</p>
+    </div>
+    <i class="fas fa-angle-right"></i>
+    </a>
+</div>
+            </div>
+          </div>
+        </main>
+
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+  
+  <script src="_static/js/index.be7d3bbb2ef33a8344ce.js"></script>
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+<footer class="footer">
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+        </div>
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+          <img alt="UAlbany" src="_images/UAlbany-A2-logo-purple-gold.svg" style="width: 100%">
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+      <div class="container-fluid footer-info">
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+        <p class="py-1 m-0">
+            &copy;&nbsp;2023.
+        
+          By the <a href="https://projectpythia.org/">Project Pythia</a> Community.
+        
+          Last updated on 8 December 2023.
+        </p>
+      </div>
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diff --git a/_preview/40/_images/689e19e6e0e54e549667bcd9456645dfe011911c5ea53e8661ff05ac56f27cf3.png b/_preview/40/_images/689e19e6e0e54e549667bcd9456645dfe011911c5ea53e8661ff05ac56f27cf3.png
new file mode 100644
index 0000000000000000000000000000000000000000..ad59d1b7c1a5f78266cc1c08d9b15d4e3ca7b4b4
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diff --git a/_preview/40/_sources/README.md b/_preview/40/_sources/README.md
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+++ b/_preview/40/_sources/README.md
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+<img src="thumbnail.png" alt="thumbnail" width="300"/>
+
+# Advanced Visualization Cookbook
+
+[![Binder](https://binder.projectpythia.org/badge_logo.svg)](https://binder.projectpythia.org/v2/gh/ProjectPythia/advanced-viz-cookbook.git/main?labpath=notebooks)
+[![DOI](https://zenodo.org/badge/671205314.svg)](https://zenodo.org/badge/latestdoi/671205314)
+
+This Project Pythia Cookbook covers advanced visualization techniques building upon and combining various Python packages.
+
+## Motivation
+
+The possibilities of data visualization in Python are almost endless. Already using `matplotlib` the workhorse behind many visualization packages, the user has a lot of customization options available to them. `cartopy`, `metpy`, `seaborn`, `geocat-viz`, and `datashader` are all also great packages that can offer unique additions to your Python visualization toolbox.
+
+This Cookbook will house various visualization workflow examples that use different visualization packages, highlight the differences in functionality between the packages, any noteable syntax distinctions, and demonstrate combining tools to achieve a specific outcome.
+
+## Authors
+
+[Julia Kent](@jukent), [Anissa Zacharias](@anissa111), [Orhan Eroglu](@erogluorhan), [Philip Chmielowiec](@philipc2), [John Clyne](@clyne)
+
+### Contributors
+
+<a href="https://github.com/ProjectPythia/advanced-viz-cookbook/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=ProjectPythia/advanced-viz-cookbook" />
+</a>
+
+## Structure
+
+This cookbook is broken up into a few sections - a "Basics of Geoscience Visualization" intro that compares different visualization packages and plot elements, and then example workflows of advanced visualization applications that are further subdivided.
+
+### Basics of Geoscience Visualization
+
+Here we introduce the basics of geoscience visualization, the elements of a plot, different types of plots, and some unique considerations when dealing with model and measured data. Here we also share a comparison of different visualization packages available to the Scientific Python programmer.
+
+### Specialty Plots
+
+There are some plot types that are unique to atmospheric science such as Taylor Diagrams or Skew-T plots. Here we will use [`metpy`](https://unidata.github.io/MetPy/latest/index.html) and [`geocat-viz`](https://geocat-viz.readthedocs.io/en/latest/) to demonstrate these specialty plots.
+
+### Visualization of Structured Grids
+
+In this section we will demonstrate how to visualize data that is on a structured grid. Namely, we will look at Spaghetti Hurricane plots. Here we will have workflows that utilize packages such as [`cartopy`](https://scitools.org.uk/cartopy/docs/latest/) and [`geocat-viz`](https://geocat-viz.readthedocs.io/en/latest/).
+
+### Animation
+
+Animated plots are great tools for science communication and outreach. We will demonstrate how to make your plots come to life. In this book, we use "animated plots" to refer to stable animations, such as the creation of gifs or videos.
+
+### Interactivity
+
+Dynamically rendering, animating, panning & zooming over a plot can be great to increase data fidelity. We will showcase how to use Holoviz technologies with Bokeh backend to create interactive plots, utilizing an unstructured grid data in the Model for Prediction Across Scales (MPAS) format.
+
+## Running the Notebooks
+
+You can either run the notebook using [Binder](https://binder.projectpythia.org/) or on your local machine.
+
+### Running on Binder
+
+The simplest way to interact with a Jupyter Notebook is through
+[Binder](https://binder.projectpythia.org/), which enables the execution of a
+[Jupyter Book](https://jupyterbook.org) in the cloud. The details of how this works are not
+important for now. All you need to know is how to launch a Pythia
+Cookbooks chapter via Binder. Simply navigate your mouse to
+the top right corner of the book chapter you are viewing and click
+on the rocket ship icon, (see figure below), and be sure to select
+“launch Binder”. After a moment you should be presented with a
+notebook that you can interact with. I.e. you’ll be able to execute
+and even change the example programs. You’ll see that the code cells
+have no output at first, until you execute them by pressing
+{kbd}`Shift`\+{kbd}`Enter`. Complete details on how to interact with
+a live Jupyter notebook are described in [Getting Started with
+Jupyter](https://foundations.projectpythia.org/foundations/getting-started-jupyter.html).
+
+### Running on Your Own Machine
+
+If you are interested in running this material locally on your com
+
+1. Clone the `https://github.com/ProjectPythia/advanced-viz-cookbook` repository:
+
+   ```bash
+    git clone https://github.com/ProjectPythia/advanced-viz-cookbook.git
+   ```
+
+1. Move into the `advanced-viz-cookbook` directory
+   ```bash
+   cd advanced-viz-cookbook
+   ```
+1. Create and activate your conda environment from the `environment.yml` file
+   ```bash
+   conda env create -f environment.yml
+   conda activate advanced-viz-cookbook
+   ```
+1. Move into the `notebooks` directory and start up Jupyterlab
+   ```bash
+   cd notebooks/
+   jupyter lab
+   ```
diff --git a/_preview/40/_sources/notebooks/1-comparison.ipynb b/_preview/40/_sources/notebooks/1-comparison.ipynb
new file mode 100644
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--- /dev/null
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@@ -0,0 +1,442 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Comparison of Visualization Packages"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Overview\n",
+    "There are nearly endless possibilities when it comes to data visualization in Python. Some of these choices can be overwhelming. This chapter aims to lay out and distinguish different Python visualization libraries so that you are more equipped to make the right choice for your data visualization needs. This Cookbook is not a comprehensive tutorial on these packages, but we can offere enough information and links to documentation or relevant tutorials to help get you started.\n",
+    "\n",
+    "1. Matplotlib\n",
+    "1. Cartopy\n",
+    "1. GeoCAT-viz\n",
+    "1. MetPy\n",
+    "1. Vapor\n",
+    "1. Plotly\n",
+    "1. Seaborn\n",
+    "1. Bokeh\n",
+    "1. UXarray\n",
+    "1. hvPlot\n",
+    "\n",
+    "<div class=\"admonition alert alert-info\">\n",
+    "    <p class=\"admonition-title\" style=\"font-weight:bold\">Note</p>\n",
+    "    The plotting libraries mentioned here are either ones used extensively by the authors of this Cookbook OR ones that we get asked about a lot when giving plotting tutorials. This does not cover every library that can be used for plotting in the Python scientific ecosystem, but should cover the more popular packages you might come across.\n",
+    "\n",
+    "Missing a plotting library that you use and want others to know more about? [Let us know!]()\n",
+    "</div> "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Prerequisites\n",
+    "\n",
+    "| Concepts | Importance | Notes |\n",
+    "| --- | --- | --- |\n",
+    "| [Matplotlib](https://foundations.projectpythia.org/core/matplotlib.html) | Necessary | |\n",
+    "| [Cartopy](https://foundations.projectpythia.org/core/cartopy.html) | Necessary | |\n",
+    "\n",
+    "- **Time to learn**: 50 minutes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Matplotlib\n",
+    "\n",
+    "<img src=\"images/logos/matplotlib.svg\" width=250 alt=\"Matplotlib Logo\"></img>\n",
+    "\n",
+    "Matplotlib is the workhorse of Python visualization needs. It is a comprehensive plotting library that has the capacity to make static, animated, or interactive visualizations. It is hard to imagine plotting in Python without first getting comfortable with Matplotlib. Be sure to check out the [Matplotlib documentation](https://matplotlib.org/) as well as the [Pythia foundations chapter on Matplotlib](https://foundations.projectpythia.org/core/matplotlib.html) for guidance.\n",
+    "\n",
+    "Matplotlib's syntax should feel familiar to anyone who has plotted data in Matlab.\n",
+    "\n",
+    "Here is a [simple plotting example from Matplotlib](https://matplotlib.org/stable/gallery/lines_bars_and_markers/simple_plot.html):"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "\n",
+    "# Data for plotting\n",
+    "t = np.arange(0.0, 2.0, 0.01)\n",
+    "s = 1 + np.sin(2 * np.pi * t)\n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "ax.plot(t, s)\n",
+    "\n",
+    "ax.set(xlabel='time (s)', ylabel='voltage (mV)',\n",
+    "       title='About as simple as it gets, folks')\n",
+    "ax.grid()\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Cartopy\n",
+    "\n",
+    "<img src=\"images/logos/cartopy.jpeg\" width=250 alt=\"Cartopy Logo\"></img>\n",
+    "\n",
+    "Cartopy is a Python package for plotting data on the globe. It is the go-to package for plotting maps, dealing with different projections, and adding surface features to your plot. Cartopy is buit on top of [PROJ](https://proj.org/en/9.2/), NumPy and [Shapely](https://shapely.readthedocs.io/en/stable/manual.html), and Matplotlib. To learn more about what Cartopy can do, check out the [Cartopy documentation](https://scitools.org.uk/cartopy/docs/latest/) and the [Pythia foundations Cartopy chapter](https://foundations.projectpythia.org/core/cartopy.html).\n",
+    "\n",
+    "You may have heard about [Basemap](https://matplotlib.org/basemap/index.html), another geoscience plotting library, which was deprecated in favor of Cartopy.\n",
+    "\n",
+    "Here is a [simple plotting example from Cartopy](https://scitools.org.uk/cartopy/docs/v0.15/matplotlib/intro.html):"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import cartopy.crs as ccrs\n",
+    "\n",
+    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
+    "ax.coastlines()\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## GeoCAT-Viz\n",
+    "\n",
+    "<img src=\"images/logos/geocat.png\" width=250 alt=\"GeoCAT Logo\"></img>\n",
+    "\n",
+    "The GeoCAT team at the National Center for Atmospheric Research (NCAR) aims to help scientists transitioning from [NCL](https://www.ncl.ucar.edu/) to Python. Out of this team come two different visualization aids: the [GeoCAT-examples Visualization Gallery](https://geocat-examples.readthedocs.io/en/latest/) which contains tons of different plotting examples that you can use as a starting place for your figures, and the [GeoCAT-Viz package (documentation)](https://geocat-viz.readthedocs.io/en/latest/) which contains many convenience functions that formerly existed in NCL or for making Python plots look publication-ready."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## MetPy\n",
+    "\n",
+    "<img src=\"images/logos/metpy.png\" width=250 alt=\"Metpy Logo\"></img>\n",
+    "\n",
+    "Metpy is a collection of tools for data reading, analysis, and visualization with weather data. Matplotlib offers some useful functionality for unique plots such as Skew-T diagrams, as well as declaritive plotting functionality. Check out the [MetPy documentation](https://unidata.github.io/MetPy/latest/index.html).\n",
+    "\n",
+    "Here is a simple Skew-T plot from their [Getting Started documentation](https://unidata.github.io/MetPy/latest/userguide/startingguide.html):"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import metpy.calc as mpcalc\n",
+    "from metpy.plots import SkewT\n",
+    "from metpy.units import units\n",
+    "\n",
+    "fig = plt.figure(figsize=(9, 9))\n",
+    "skew = SkewT(fig)\n",
+    "\n",
+    "# Create arrays of pressure, temperature, dewpoint, and wind components\n",
+    "p = [902, 897, 893, 889, 883, 874, 866, 857, 849, 841, 833, 824, 812, 796, 776, 751,\n",
+    "     727, 704, 680, 656, 629, 597, 565, 533, 501, 468, 435, 401, 366, 331, 295, 258,\n",
+    "     220, 182, 144, 106] * units.hPa\n",
+    "t = [-3, -3.7, -4.1, -4.5, -5.1, -5.8, -6.5, -7.2, -7.9, -8.6, -8.9, -7.6, -6, -5.1,\n",
+    "     -5.2, -5.6, -5.4, -4.9, -5.2, -6.3, -8.4, -11.5, -14.9, -18.4, -21.9, -25.4,\n",
+    "     -28, -32, -37, -43, -49, -54, -56, -57, -58, -60] * units.degC\n",
+    "td = [-22, -22.1, -22.2, -22.3, -22.4, -22.5, -22.6, -22.7, -22.8, -22.9, -22.4,\n",
+    "      -21.6, -21.6, -21.9, -23.6, -27.1, -31, -38, -44, -46, -43, -37, -34, -36,\n",
+    "      -42, -46, -49, -48, -47, -49, -55, -63, -72, -88, -93, -92] * units.degC\n",
+    "\n",
+    "# Calculate parcel profile\n",
+    "prof = mpcalc.parcel_profile(p, t[0], td[0]).to('degC')\n",
+    "u = np.linspace(-10, 10, len(p)) * units.knots\n",
+    "v = np.linspace(-20, 20, len(p)) * units.knots\n",
+    "\n",
+    "skew.plot(p, t, 'r')\n",
+    "skew.plot(p, td, 'g')\n",
+    "skew.plot(p, prof, 'k')  # Plot parcel profile\n",
+    "skew.plot_barbs(p[::5], u[::5], v[::5])\n",
+    "\n",
+    "skew.ax.set_xlim(-50, 15)\n",
+    "skew.ax.set_ylim(1000, 100)\n",
+    "\n",
+    "# Add the relevant special lines\n",
+    "skew.plot_dry_adiabats()\n",
+    "skew.plot_moist_adiabats()\n",
+    "skew.plot_mixing_lines()\n",
+    "\n",
+    "plt.show();"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## VAPOR\n",
+    "\n",
+    "<img src=\"images/logos/vapor.png\" width=250 alt=\"VAPOR Logo\"></img>\n",
+    "\n",
+    "VAPOR stands for the Visualization and Analysis Platform for Ocean, Atmosphere, and Solar Researchers and is another project from NCAR. VAPOR provides an interactive 3D visualization environment. Learn more at the [VAPOR documentation](https://www.vapor.ucar.edu/) and the [VAPOR Pythia Cookbook](https://projectpythia.org/vapor-python-cookbook/README.html). VAPOR requires a GPU-enabled environment to run."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotly\n",
+    "\n",
+    "<img src=\"images/logos/plotly.png\" width=250 alt=\"Plotly Logo\"></img>\n",
+    "\n",
+    "Plotly is another choice for interactive plotting. Plotly has functionality in several languags. Here is the [Plotly Python documentation](https://plotly.com/python/).\n",
+    "\n",
+    "Here is an example using their \"Express\" functionality:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import plotly.express as px\n",
+    "\n",
+    "fig = px.scatter(x=[0, 1, 2, 3, 4], y=[0, 1, 4, 9, 16])\n",
+    "fig.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Seaborn\n",
+    "\n",
+    "<img src=\"images/logos/seaborn.svg\" width=250 alt=\"Seaborn Logo\"></img>\n",
+    "\n",
+    "Seaborn is a high level interactive interface for creating statistical visualizations built on matplotlib. Check out the [Seaborn documentation](https://seaborn.pydata.org/).\n",
+    "\n",
+    "Here is their [heatmap example](https://seaborn.pydata.org/examples/spreadsheet_heatmap.html):"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import seaborn as sns\n",
+    "sns.set_theme()\n",
+    "\n",
+    "# Load the example flights dataset and convert to long-form\n",
+    "flights_long = sns.load_dataset(\"flights\")\n",
+    "flights = flights_long.pivot(index=\"month\", columns=\"year\", values=\"passengers\")\n",
+    "\n",
+    "# Draw a heatmap with the numeric values in each cell\n",
+    "f, ax = plt.subplots(figsize=(9, 6))\n",
+    "sns.heatmap(flights, annot=True, fmt=\"d\", linewidths=.5, ax=ax)\n",
+    "\n",
+    "plt.show();"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Bokeh\n",
+    "\n",
+    "<img src=\"images/logos/bokeh.jpeg\" width=250 alt=\"Bokeh Logo\"></img>\n",
+    "\n",
+    "Bokeh is a Javascript-powered tool for creating interactive visualizations in modern web browsers. Check out the [Bokeh documentation](https://bokeh.org/)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## UXarray\n",
+    "\n",
+    "<img src=\"images/logos/uxarray.png\" width=250 alt=\"UXarray Logo\"></img>\n",
+    "\n",
+    "UXarray specializes in unstructured grids, built around [UGRID conventions](https://ugrid-conventions.github.io/ugrid-conventions/) and Xarray syntax. See the [UXarray documentation](https://uxarray.readthedocs.io/en/latest/) and check out the the [UXarray Cookbook](https://projectpythia.org/unstructured-grid-viz-cookbook)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## hvPlot\n",
+    "\n",
+    "<img src=\"images/logos/hvplot.svg\" width=250 alt=\"Datashader Logo\"></img>\n",
+    "\n",
+    "hvPlot wraps both [Datashader](https://datashader.org/), a graphics pipeline, and [Holoviews](https://holoviews.org/), a tool for bundling data and metadata for intuitive interactive plotting, at a higher level. All 3 tools are by [Holoviz](https://holoviz.org/). Reference the [hvPlot documentation](https://hvplot.holoviz.org/).\n",
+    "\n",
+    "Here is a simple example from their [user guide](https://hvplot.holoviz.org/user_guide/Introduction.html):"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import hvplot.pandas\n",
+    "\n",
+    "pd.options.plotting.backend = 'holoviews'\n",
+    "\n",
+    "index = pd.date_range('1/1/2000', periods=1000)\n",
+    "df = pd.DataFrame(np.random.randn(1000, 4), index=index, columns=list('ABCD')).cumsum()\n",
+    "\n",
+    "df.plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This useful diagram from [hvPlot's documentation](https://hvplot.holoviz.org/index.html) details how different high-level tools for data visualization interact.\n",
+    "\n",
+    "<img src=\"images/hvplot_diagram.svg\" alt=\"Datashader Logo\"></img>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Summary\n",
+    "\n",
+    "Each Python plotting library offers a slightly different niche in the data visualization world. Some are better for creating publication figures (matplotlib, cartopy, metpy, geocat-viz, uxarray) while others offer interactive functionality that is great for websites, demonstrations, and other forms of engagement (holoviews, seaborn, plotly, bokeh, and vapor). Hopefully the mini examples on this page allow you to play around and see which user interfaces you like best for your visualization needs.\n",
+    "\n",
+    "\n",
+    "### What's next?\n",
+    "\n",
+    "Next up let's discuss elements of [good data visualization](2-good-viz)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Resources and references\n",
+    "\n",
+    "- [Matplotlib documentation](https://matplotlib.org/)\n",
+    "- [Cartopy documentation](https://scitools.org.uk/cartopy/docs/latest/)\n",
+    "- [GeoCat-examples Visualization Gallery](https://geocat-examples.readthedocs.io/en/latest/)\n",
+    "- [GeoCAT-Viz documentation](https://geocat-viz.readthedocs.io/en/latest/)\n",
+    "- [MetPy documentation](https://unidata.github.io/MetPy/latest/index.html)\n",
+    "- [Vapor documentation](https://www.vapor.ucar.edu/)\n",
+    "- [Plotly Python documentation](https://plotly.com/python/)\n",
+    "- [Seaborn documentation](https://seaborn.pydata.org/)\n",
+    "- [Bokeh documentation](https://bokeh.org/)\n",
+    "- [UXarray documentation](https://uxarray.readthedocs.io/en/latest/)\n",
+    "- [hvPlot documentation](https://hvplot.holoviz.org/index.html)\n",
+    "- [Holoviews documentation](https://holoviews.org/)\n",
+    "- [Datashader documentation](https://datashader.org/)"
+   ]
+  }
+ ],
+ "metadata": {
+  "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": "3.10.12"
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+}
diff --git a/_preview/40/_sources/notebooks/2-good-viz.ipynb b/_preview/40/_sources/notebooks/2-good-viz.ipynb
new file mode 100644
index 0000000..1bca4d4
--- /dev/null
+++ b/_preview/40/_sources/notebooks/2-good-viz.ipynb
@@ -0,0 +1,325 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# What Makes for Good Data Visualization?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Overview\n",
+    "What Makes a Good Visualization? We want graphics to be eye catching and informative. In this chapter we'll discuss different aspects that can affect the quality of your figures and specific considerations relevant to the geosciences.\n",
+    "\n",
+    "1. The Importance of Data Visualization\n",
+    "1. Publication Ready Figures\n",
+    "1. The Problem with Rainbow Colormaps\n",
+    "1. Misleading Visualizations"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Prerequisites\n",
+    "\n",
+    "| Concepts | Importance | Notes |\n",
+    "| --- | --- | --- |\n",
+    "| [Matplotlib](https://foundations.projectpythia.org/core/matplotlib.html) | Necessary | |\n",
+    "| [Cartopy](https://foundations.projectpythia.org/core/cartopy.html) | Necessary | |\n",
+    "\n",
+    "- **Time to learn**: 3 hours\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib as mpl\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import geocat.viz as gv"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## The Importance of Data Visualization\n",
+    "\n",
+    "It is important to use pictures to show data because we can visually detect patterns that could be lost in statistical analysis. All scientific disciplines use data visualizations to communicate concepts. \n",
+    "\n",
+    "Here we have a figure from [Autodesk](https://www.research.autodesk.com/publications/same-stats-different-graphs/) that shows a \"Datasaurus\" and 12 other datasets that share the same statistical information (mean, standard deviation, etc). We can see immediately that visually are telling very different stories: be it a dinosaur, a star, an oval, concentric ovals, or a series of lines (perhaps weather fronts).\n",
+    "\n",
+    "<img src=\"images/same_stats.png\" alt=\"Same Stats\"></img>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Publication Ready Figures\n",
+    "\n",
+    "For your figure to be publication rady, you probably want to change some of Matplotlib's default plotting settings: selecting fontsizes for your titles and labels, changing figure sizes, or subplot/colormap layout.\n",
+    "\n",
+    "To demonstrate this, let's look at an example:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# fake data\n",
+    "x = [0, 1, 2, 3, 4, 5]\n",
+    "y = [0, 3, 6, 9, 12, 15]\n",
+    " \n",
+    "# plot\n",
+    "plt.plot(x, y)\n",
+    "\n",
+    "# annotate\n",
+    "plt.title('Title')\n",
+    "plt.xlabel('X Label')\n",
+    "plt.ylabel('Y Label')\n",
+    "\n",
+    "plt.show();"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now let's show some customization options:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# fake data\n",
+    "x = [0, 1, 2, 3, 4, 5]\n",
+    "y = [0, 3, 6, 9, 12, 15]\n",
+    " \n",
+    "# plot\n",
+    "plt.plot(x, y, '--', color='red')\n",
+    "\n",
+    "# annotate\n",
+    "plt.title('Title', fontsize=20)\n",
+    "plt.xlabel('X Label', fontsize=16)\n",
+    "plt.ylabel('Y Label', fontsize=16)\n",
+    "\n",
+    "plt.show();"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Matplotlib Global Parameters\n",
+    "\n",
+    "Matplotlib has defaults for fontsizes and all sorts of attributes of a plot. Instead of setting your fontsize in every script, it is possible to set global parameters to change the default values of these attributes.\n",
+    "\n",
+    "You can veiw the globoal parameters options and their current settings with:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mpl.rcParams.keys"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To change any given parameter you would use the following command (replacing your parameter and value, of course):"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "```\n",
+    "mpl.rcParams['font.family'] = 'Arial'\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Using GeoCAT-Viz\n",
+    "\n",
+    "The GeoCAT-Viz package also has many utility functions for making your plots looks publication ready in fewer lines of code. The defaults of GeoCAT-viz keword-arguments are set to resemble the style of NCL."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# fake data\n",
+    "x = [0, 1, 2, 3, 4, 5]\n",
+    "y = [0, 3, 6, 9, 12, 15]\n",
+    " \n",
+    "# plot\n",
+    "plt.plot(x, y)\n",
+    "\n",
+    "# annotate\n",
+    "plt.title('Title')\n",
+    "plt.xlabel('X Label')\n",
+    "plt.ylabel('Y Label')\n",
+    "\n",
+    "gv.set_titles_and_labels(plt.gca())\n",
+    "\n",
+    "plt.show();"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## The Problem with Rainbow Colormaps\n",
+    "\n",
+    "Rainbow colormaps are visually beautiful, but are falling out of favor because\n",
+    "1. They are not colorblind friendly and\n",
+    "2. They do not print out in grayscale in a meaningful way.\n",
+    "\n",
+    "Both of these issues can be addressed by bing careful about you colormaps lightness-values.\n",
+    "\n",
+    "Some colormaps options are perceptually uniform (the same lightness value), sequentially ordered (goes from lighter to darker), or diverging (lightest or darkest at a set point and uniformly changes lightness going out). A rainbow colormap however is lighter or darker in arbitrary places and it affects how we interpret data (especially if it was printed out in grayscale).\n",
+    "\n",
+    "For example, from [Matplotlib's Choosing a Colormap documentation](https://matplotlib.org/stable/tutorials/colors/colormaps.html) here are some \"good\" colormaps:\n",
+    "\n",
+    "<img src=\"https://matplotlib.org/stable/_images/sphx_glr_colormaps_016_2_00x.png\" alt=\"Matplotlib Logo\"></img>\n",
+    "\n",
+    "And here are miscellaneous colormaps:\n",
+    "\n",
+    "<img src=\"https://matplotlib.org/stable/_images/sphx_glr_colormaps_021_2_00x.png\" alt=\"Matplotlib Logo\"></img>\n",
+    "\n",
+    "Looking at the colors in grayscale helps to understand why we might prefer a sequentially ordered colormap. Some grayscale values are duplicated and the reader will not know if it is a high or low value.\n",
+    "\n",
+    "Another consideration that can help those who are visually impaired is to make sure your figure comments are substantial. Use words to paint the picture of what is displayed, not just the conclusions you want the reader to get."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Misleading Visualizations\n",
+    "\n",
+    "The scales or colors we choose to use for data visualization affect how people interpret figures. You should strive to make your visualizations as accurate and as informative as possible. Here are some examples that demonstrate just how different a figure can look based on these choices you make. Do not intentionally mislead your audience!\n",
+    "\n",
+    "Perhaps the most common data visualization manipulation is to change the Y-scale. If a plot does not begin at 0, small changes in magnitude can be exhaggerated. Similarly a logarithmic scale will amplify changes. This is not always disingenuous, sometimes these changes are what you want to highlight, the pattern you want to draw attention to. Just make sure it is appropriate for your use case and documented. Alternatively, extending the Y-axis too large has the opposite affect and smooths out the differences in data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x = [1, 2, 3, 4, 5]\n",
+    "y = [1101, 1011, 1111, 1070, 1050]\n",
+    "\n",
+    "\n",
+    "fig, (ax1, ax2, ax3, ax4) = plt.subplots(4)\n",
+    "fig.tight_layout()\n",
+    "\n",
+    "ax1.bar(x,y)\n",
+    "ax1.set_title(\"Default Y-Scale Starts at 0\")\n",
+    "\n",
+    "ax2.bar(x,y)\n",
+    "ax2.set_ylim(1000)\n",
+    "ax2.set_title(\"Y-Scale Starts at 1000\")\n",
+    "\n",
+    "ax3.bar(x,y)\n",
+    "ax3.set_yscale(\"log\")\n",
+    "ax3.set_title(\"Y-Scale is Logarithmic\");\n",
+    "\n",
+    "ax4.bar(x,y)\n",
+    "ax4.set_ylim(0, 2000)\n",
+    "ax4.set_title(\"Y-Scale is Extended\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Other examples of data visualization manipulation include improper scaling, cherry picking a small non-representative subset of the data to display, displaying pie charts at a slant (pie charts are hard to interpet accurately as is), and unusing unexpected colormaps."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Summary\n",
+    "It is important to have accurate, engaging, and representative data visualization to accumpany your research, both for data exploration as part of the scientific process, for communication of results, and education/outreach efforts. Visually we pick up on patterns that statistics alone may not convey. However, an over reliance on data visualization can make science less accessible to those with vision disabilities. It is important to be cognicent of the patterns our minds pick up, be it based on color or y-axis scaling, so that we can avoid misleading our audience and more accurately convey the narrative inherent to the data.\n",
+    "\n",
+    "### What's next?\n",
+    "\n",
+    "Let's break down the different components of data visualization in [Plot Elements](3-plot-elements).\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Resources and references\n",
+    "\n",
+    "- [Autodesk](https://www.research.autodesk.com/publications/same-stats-different-graphs/)\n",
+    "- [Matplotlib's Choosing a Colormap documentation](https://matplotlib.org/stable/tutorials/colors/colormaps.html)\n",
+    "- [GeoCAT-examples Gallery](https://geocat-examples.readthedocs.io/en/latest/)\n",
+    "- [NWSC Script](https://docs.google.com/document/d/1PxJBbYJsI5nmR9pDQmcRM0ZghRPSI_xlzGVhw3AEUms/edit)\n",
+    "- [Beyond Visuals: Examining the Experiences of Geoscience\n",
+    "Professionals With Vision Disabilities in Accessing Data Visualizations](https://arxiv.org/pdf/2207.13220.pdf)\n",
+    "- [Same Stats Different Graphs: Generating Datasets with Varied Appearance and\n",
+    "Identical Statistics through Simulated Annealing](https://www.research.autodesk.com/app/uploads/2023/03/same-stats-different-graphs.pdf_rec2hRjLLGgM7Cn2T.pdf)\n",
+    "- Alberto Cairo's How Charts Lie: Getting Smarter about Visual Information\n",
+    "- [Misleading Data Visualization – What to Avoid](https://blog.coupler.io/misleading-data-visualization-examples/)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "advanced-viz-cookbook",
+   "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": "3.10.12"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/_preview/40/_sources/notebooks/3-plot-elements.ipynb b/_preview/40/_sources/notebooks/3-plot-elements.ipynb
new file mode 100644
index 0000000..27fec96
--- /dev/null
+++ b/_preview/40/_sources/notebooks/3-plot-elements.ipynb
@@ -0,0 +1,308 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Plot Elements"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Prerequisites\n",
+    "\n",
+    "| Concepts | Importance | Notes |\n",
+    "| --- | --- | --- |\n",
+    "| [Matplotlib](https://foundations.projectpythia.org/core/matplotlib.html) | Necessary | |\n",
+    "| [Cartopy](https://foundations.projectpythia.org/core/cartopy.html) | Necessary | |\n",
+    "\n",
+    "- **Time to learn**: 40 minutes\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import xarray as xr\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import geocat.viz as gv"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Data\n",
+    "\n",
+    "The first piece of data visualization is the data!\n",
+    "\n",
+    "Let's generate some dummy data to work with:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x = np.linspace(0, 20, 1000)\n",
+    "y1 = np.sin(x)\n",
+    "y2 = np.cos(x)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Figure\n",
+    "\n",
+    "The figure is the object that contains your entire visualization. Creating a figure tends to be the first step in plotting, even if it doesn't currently show anything:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig = plt.figure(figsize=(9.5, 8))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Axis\n",
+    "\n",
+    "We then add axes to our plot. You can add multiple axes to one plot in order to produce subplots, or just one. Axes will automatically inherit their limits from the data plotted, or can be manually set."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig = plt.figure(figsize=(9.5, 8))\n",
+    "ax = plt.axes()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plot\n",
+    "\n",
+    "Adding the data to the figure can be done through several different plot types: line, contour, bar, histogram. Here we use two line plots:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig = plt.figure(figsize=(9.5, 8))\n",
+    "ax = plt.axes()\n",
+    "\n",
+    "ax.plot(x,y1)\n",
+    "ax.plot(x,y2);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Titles and Labels\n",
+    "\n",
+    "Titles and labels are important for indicating what the figure is plotting. It is a good idea to include relevant units in your axis labels."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig = plt.figure(figsize=(9.5, 8))\n",
+    "ax = plt.axes()\n",
+    "\n",
+    "ax.plot(x,y1)\n",
+    "ax.plot(x,y2)\n",
+    "\n",
+    "ax.set_title(\"Dummy Data\")\n",
+    "ax.set_xlabel(\"X (radians)\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Legends\n",
+    "\n",
+    "If you're plotting multiple lines of data, it's a good idea to include a legend. Here is how you call or point to the legend:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig = plt.figure(figsize=(9.5, 8))\n",
+    "ax = plt.axes()\n",
+    "\n",
+    "ax.plot(x,y1,label='sine')\n",
+    "ax.plot(x,y2,label='cosine')\n",
+    "\n",
+    "ax.set_title(\"Dummy Data\")\n",
+    "ax.set_xlabel(\"X (radians)\")\n",
+    "\n",
+    "plt.legend(loc=\"upper left\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Colorbars\n",
+    "\n",
+    "While legends are more appropriate for line or bar plots, colorbars are most commonly used for contour plots and sometimes to apply a third level of dimension to a scatter plot.\n",
+    "\n",
+    "Let's shift our example to better demonstrate a colorbar by workign with a filled contour plot:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Generate dummy data\n",
+    "data = [[1, 4, 5, 6, 8.2],\n",
+    "        [9, 8.4, 10, 10.6, 9.7],\n",
+    "        [4.4, 5, 0, 6.6, 1.4],\n",
+    "        [4.6, 5.2, 1.5, 7.6, 2.4]]\n",
+    "\n",
+    "# Convert data into type xarray.DataArray\n",
+    "data = xr.DataArray(data,\n",
+    "                    dims=[\"lat\", \"lon\"],\n",
+    "                    coords=dict(lat=np.arange(4), lon=np.arange(5)))\n",
+    "\n",
+    "data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig = plt.figure(figsize=(9.5, 8))\n",
+    "ax = plt.axes()\n",
+    "\n",
+    "pcm = ax.contourf(data,cmap='viridis')\n",
+    "\n",
+    "ax.set_title(\"Dummy Data\")\n",
+    "ax.set_xlabel(\"Longitude (\\N{DEGREE SIGN})\")\n",
+    "ax.set_ylabel(\"Latitude (\\N{DEGREE SIGN})\")\n",
+    "\n",
+    "fig.colorbar(pcm,ax=ax);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Annotations\n",
+    "\n",
+    "Additional annotations allow you to specify some text and a location to indicate almost anything. \n",
+    "\n",
+    "Here we use GeoCAT-viz to add annotations to the maxima in a contour plot:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig = plt.figure(figsize=(9.5, 8))\n",
+    "ax = plt.axes()\n",
+    "\n",
+    "pcm = ax.contourf(data,cmap='viridis')\n",
+    "\n",
+    "ax.set_title(\"Dummy Data\")\n",
+    "ax.set_xlabel(\"Longitude (\\N{DEGREE SIGN})\")\n",
+    "ax.set_ylabel(\"Latitude (\\N{DEGREE SIGN})\")\n",
+    "\n",
+    "fig.colorbar(pcm,ax=ax)\n",
+    "\n",
+    "# Find local maximum with GeoCAT-Viz find_local_extrema\n",
+    "lmax = gv.find_local_extrema(data, eType='High')[0]\n",
+    "\n",
+    "# Plot labels for local mins\n",
+    "max_value = data.data[lmax[1]][lmax[0]]\n",
+    "ax.text(lmax[0], lmax[1],'Maxima = '+str(max_value))\n",
+    "\n",
+    "# Show plot\n",
+    "plt.show();"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Summary\n",
+    "\n",
+    "There are several key elements to a Python plot and knowing what they are called is instrumental to begin your journey for further customization.\n",
+    "\n",
+    "### What's next?\n",
+    "\n",
+    "Next up, the specialty plots called [Taylor Diagrams](4-taylor-diagrams)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Resources and references"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "advanced-viz-cookbook",
+   "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": "3.10.12"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/_preview/40/_sources/notebooks/4-taylor-diagrams.ipynb b/_preview/40/_sources/notebooks/4-taylor-diagrams.ipynb
new file mode 100644
index 0000000..beb84a2
--- /dev/null
+++ b/_preview/40/_sources/notebooks/4-taylor-diagrams.ipynb
@@ -0,0 +1,588 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Taylor Diagrams"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Overview\n",
+    "\n",
+    "Taylor diagrams are a visual way of representing a statistical summary of how at least two datasets compare, where all plotted datasets are statistically compared to the same reference dataset (typically climate observations). Taylor diagrams are radial plots, with distance from the origin determined by a normalized standard deviation of your dataset (normalized by dividing it by the standard deviation of the reference or observational dataset) and the angle determined by the correlation coefficient between your dataset and the reference.\n",
+    "\n",
+    "Taylor diagrams are popular for displaying climatological data because the normalization of variances helps account for the widely varying numerical values of geoscientific variables such as temperature or precipitation.\n",
+    "\n",
+    "This notebook explores how to create and customize Taylor diagrams using `geocat-viz`. See the more information on [`geocat-viz.TaylorDiagram`](https://geocat-viz.readthedocs.io/en/latest/user_api/generated/geocat.viz.taylor.TaylorDiagram.html).\n",
+    "\n",
+    "1. Creating a Simple Taylor Diagram\n",
+    "1. Necessary Statistical Analysis\n",
+    "1. Plotting Different Ensemble Members\n",
+    "1. Plotting Multiple Models\n",
+    "1. Plotting Multiple Variables\n",
+    "1. Plotting Bias\n",
+    "1. Variants"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Prerequisites\n",
+    "\n",
+    "| Concepts | Importance | Notes |\n",
+    "| --- | --- | --- |\n",
+    "| [Matplotlib](https://foundations.projectpythia.org/core/matplotlib.html) | Necessary | |\n",
+    "\n",
+    "- **Time to learn**: 10 minutes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import xarray as xr\n",
+    "\n",
+    "import cftime\n",
+    "\n",
+    "import geocat.viz as gv\n",
+    "import geocat.datafiles as gdf"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Creating a Simple Taylor Diagram\n",
+    "\n",
+    "Before getting into the data computation necessary to create a Taylor diagram, let's demonstrate how to make the simplest Taylor Diagram plot. Here we are using sample data with a normalized standard deviation of 0.6 and a correlation coefficient of 0.24."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create figure and Taylor Diagram instance\n",
+    "fig = plt.figure(figsize=(12, 12))\n",
+    "taylor = gv.TaylorDiagram(fig=fig, label='REF')\n",
+    "\n",
+    "# Draw diagonal dashed lines from origin to correlation values\n",
+    "# Also enforces proper X-Y ratio\n",
+    "taylor.add_xgrid(np.array([0.6, 0.9]))\n",
+    "\n",
+    "# Add a model dataset of one point\n",
+    "taylor.add_model_set(stddev=[.6], corrcoef=[.24]);\n",
+    "\n",
+    "plt.title(\"Simple Taylor Diagram\", size=26, pad=45); # Need to move title up"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Necessary Statistical Analysis\n",
+    "\n",
+    "To make understanding a Taylor Diagram more meaningful or intuitive, let's use some real data. Here we are going to use ERA5 reanalysis data as our observational dataset. CMIP5 temperature and pressure data from various representative concentration pathways (RCPs) and ensemble members as our model data.\n",
+    "\n",
+    "Because these dataset can be so large, some data pre-processing has been done already to the datasets used in this example. \n",
+    "\n",
+    " - ERA5 and CMIP5 data have been spatially averaged (removing latitudinal and longitudinal dimensions)\n",
+    " - ERA5 and CMIP5 data have been indexed to only include the year 2022\n",
+    " - All ensembles from a given CMIP5 RCP model have been combined into one dataset.\n",
+    " - Temperature and pressure variables from ERA5 have been combined into one dataset.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Preparing the Reference (Observed) Dataset\n",
+    "\n",
+    "Let's use geocat.datafiles to open up our ERA5 reanalysis data.\n",
+    "\n",
+    "This dataset has two variables:\n",
+    " - `2T_GDSO_SFC` which refers to the air temperature 2 meters above the surface, and \n",
+    " - `SP_GDSO_SFC` which is surface pressure.\n",
+    "\n",
+    "For this dataset, we still need to resample our data to monthly to match the monthly CMIP5 data.\n",
+    "\n",
+    "Notice that our time coordinate is in `datetime64`, we will have to manipulate either ERA5 or CMIP5 data to use the same time formatting system."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "era5 = xr.open_dataset(gdf.get('netcdf_files/era5_2022_2mtemp_spres_xyav.nc'))\n",
+    "era5"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Change hourly data to monthly\n",
+    "era5 = era5.rename({'initial_time0_hours': 'time'}) # Changing dimension name for convenience\n",
+    "era5_resampled = era5.resample(time='MS', loffset='15D').mean() # loffsest to set resampling to the center of each month as in CMIP5 data\n",
+    "\n",
+    "era5_resampled"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "era5_temp = era5_resampled['2T_GDS0_SFC'] # Because this variable name starts with a number `era5_resampled.2T_GDS0_SFC` would give an error s\n",
+    "\n",
+    "# Take a look at our final temperature data\n",
+    "era5_temp"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Preparing the model datasets\n",
+    "\n",
+    "Here our CMIP5 data is originally sourced from the [Earth System Grid Federation](https://esgf.llnl.gov/). Let's first look at our RCP8.5 model, typically referred to as \"business as usual\" because it is expected to be the mostly likely outcome without improving greenhouse gas mitigation efforts.\n",
+    "\n",
+    "To compare this data with the ERA5 data we need to convert our data to `datetime64`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tas_rcp85 = xr.open_dataset(gdf.get('netcdf_files/tas_Amon_CanESM2_rcp85_2022_xyav.nc'))\n",
+    "\n",
+    "tas_rcp85"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tas_rcp85['time'] = tas_rcp85.indexes['time'].to_datetimeindex()\n",
+    "tas_rcp85"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Perform the statistical calculations\n",
+    "\n",
+    "1. We need to compute the standard deviation for both our ERA5 observed temperature data and our CMIP5 RCP8.5 modeled temperature.\n",
+    "2. Find the correlation coefficient between them.\n",
+    "3. Then, divide the model standard deviation by the observed standard deviation to normalize it around the value 1.\n",
+    "\n",
+    "In the next cell we will perform this calculation for all ensemble members."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "temp_rcp85_std = []\n",
+    "temp_rcp85_corr = []\n",
+    "\n",
+    "std_temp_obsv = float(era5_temp.std().values)\n",
+    "\n",
+    "for em in list(tas_rcp85.data_vars): # for each ensemble member\n",
+    "    std = float(tas_rcp85[em].std().values)\n",
+    "    std_norm = std / std_temp_obsv\n",
+    "\n",
+    "    corr= float(xr.corr(era5_temp, tas_rcp85[em]).values)\n",
+    "\n",
+    "    temp_rcp85_std.append(std_norm)\n",
+    "    temp_rcp85_corr.append(corr)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting Different Ensemble Members\n",
+    "\n",
+    "One application of a Taylor Diagram application is to plot the same variable from different ensembles of the same climate model.\n",
+    "\n",
+    "This Taylor diagram differs from our simple example in that we've specified more keyword arguments in our `taylor.add_model_set()` call, specifying how we want our dots to be drawn. We've also added a legend of ensemble members with `taylor.add_model_name()`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create figure and Taylor Diagram instance\n",
+    "fig = plt.figure(figsize=(12, 12))\n",
+    "taylor = gv.TaylorDiagram(fig=fig, label='REF')\n",
+    "ax = plt.gca()\n",
+    "\n",
+    "# Draw diagonal dashed lines from origin to correlation values\n",
+    "# Also enforces proper X-Y ratio\n",
+    "taylor.add_xgrid(np.array([0.6, 0.9]))\n",
+    "\n",
+    "# Add model sets for p and t datasets\n",
+    "taylor.add_model_set(\n",
+    "    temp_rcp85_std,\n",
+    "    temp_rcp85_corr,\n",
+    "    fontsize=20,  # specify font size\n",
+    "    xytext=(-5, 10),  # marker label location, in pixels\n",
+    "    color='red', # specify marker color\n",
+    "    marker='o', # specify marker shape\n",
+    "    facecolors='none', # specify marker fill\n",
+    "    s=100)  # marker size\n",
+    "\n",
+    "# Add legend of ensemble names\n",
+    "namearr = list(tas_rcp85.data_vars)\n",
+    "taylor.add_model_name(namearr, fontsize=16)\n",
+    "\n",
+    "# Add figure title\n",
+    "plt.title(\"RCP85 Temperature\", size=26, pad=45);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting Multiple Models\n",
+    "\n",
+    "Another potential use case for a Taylor diagram is to plot multiple models. Here we compare RCP2.6, RCP4.5, and RCP8.5 together. \n",
+    "\n",
+    "Because it isn't meaningful to compare ensemble members across model runs (the nature of the perturbations isn't reliably similar across RCPs or labs), we will look at the first ensemble `r1i1p1` for all models. For your analysis, you might find it more meaningful to average across ensemble members, but we'll keep it simple for this plotting example.\n",
+    "\n",
+    "Of course, you could still chose to display more information on one graph, but there is no real conection between the first ensemble of one model versus another.\n",
+    "\n",
+    "In this final example, we'll add another layer of complexity to our Taylor Diagram plot with contour lines of constant normalized standard deviation."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Open RCP26 and RCP45 files\n",
+    "tas_rcp26 = xr.open_dataset(gdf.get('netcdf_files/tas_Amon_CanESM2_rcp26_2022_xyav.nc'))\n",
+    "tas_rcp26['time'] = tas_rcp26.indexes['time'].to_datetimeindex()\n",
+    "\n",
+    "tas_rcp45 = xr.open_dataset(gdf.get('netcdf_files/tas_Amon_CanESM2_rcp45_2022_xyav.nc'))\n",
+    "tas_rcp45['time'] = tas_rcp45.indexes['time'].to_datetimeindex()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Perform statistical analysis to create our standard deviation and correlation coefficient lists\n",
+    "temp_rcp26_std = float(tas_rcp26['r1i1p1'].std().values) \n",
+    "temp_rcp26_std_norm = temp_rcp26_std / std_temp_obsv\n",
+    "temp_rcp26_corr = float(xr.corr(era5_temp, tas_rcp26['r1i1p1']).values)\n",
+    "\n",
+    "temp_rcp45_std = float(tas_rcp45['r1i1p1'].std().values)\n",
+    "temp_rcp45_std_norm = temp_rcp45_std / std_temp_obsv\n",
+    "temp_rcp45_corr = float(xr.corr(era5_temp, tas_rcp45['r1i1p1']).values)\n",
+    "\n",
+    "temp_std = [temp_rcp26_std_norm, temp_rcp45_std_norm, temp_rcp85_std[0]]\n",
+    "temp_corr = [temp_rcp26_corr, temp_rcp45_corr, temp_rcp85_corr[0]]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create figure and Taylor Diagram instance\n",
+    "fig = plt.figure(figsize=(12, 12))\n",
+    "taylor = gv.TaylorDiagram(fig=fig, label='REF')\n",
+    "ax = plt.gca()\n",
+    "\n",
+    "# Draw diagonal dashed lines from origin to correlation values\n",
+    "# Also enforces proper X-Y ratio\n",
+    "taylor.add_xgrid(np.array([0.6, 0.9]))\n",
+    "\n",
+    "# Add model set for temp dataset\n",
+    "taylor.add_model_set(\n",
+    "    temp_std,\n",
+    "    temp_corr,\n",
+    "    fontsize=20,\n",
+    "    xytext=(-5, 10),  # marker label location, in pixels\n",
+    "    color='red',\n",
+    "    marker='o',\n",
+    "    facecolors='none',\n",
+    "    s=100)  # marker size\n",
+    "\n",
+    "#gv.util.set_axes_limits_and_ticks(ax, xlim=[0,2])\n",
+    "\n",
+    "namearr = ['rcp26', 'rcp45', 'rcp85']\n",
+    "taylor.add_model_name(namearr, fontsize=16)\n",
+    "\n",
+    "# Add figure title\n",
+    "plt.title(\"CMIP5 Temperature - First Ensemble Member\", size=26, pad=45)\n",
+    "\n",
+    "# Add constant centered RMS difference contours.\n",
+    "taylor.add_contours(levels=np.arange(0, 1.1, 0.25),\n",
+    "                 colors='lightgrey',\n",
+    "                 linewidths=0.5);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Based on these three RCPs it looks like RCP8.5 has the closest correlation to our observed climate behavior, but RCP2.6 has a closer standard deviation to what we experience. Based on your selected data, scientific interpretations may vary."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting Multiple Variables\n",
+    "\n",
+    "A Taylor Diagram can support multiple model sets, you simply need to call `taylor.add_model_set()` multiple times. By adding the `label` kwarg and calling `taylor.add_legend()` you can add a label distinguishing between the two sets.\n",
+    "\n",
+    "Since we've already demonstrated the statistical analysis necessary to perform Taylor Diagrams, the following example will be using sample data.\n",
+    "\n",
+    "Here we make sample data for 7 common climate model variables, for two different models."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create sample data\n",
+    "\n",
+    "# Model A\n",
+    "a_sdev = [1.230, 0.988, 1.092, 1.172, 1.064, 0.966, 1.079]  # normalized standard deviation\n",
+    "a_ccorr = [0.958, 0.973, 0.740, 0.743, 0.922, 0.982, 0.952]  # correlation coefficient\n",
+    "\n",
+    "# Model B\n",
+    "b_sdev = [1.129, 0.996, 1.016, 1.134, 1.023, 0.962, 1.048]  # normalized standard deviation\n",
+    "b_ccorr = [0.963, 0.975, 0.801, 0.814, 0.946, 0.984, 0.968]  # correlation coefficient\n",
+    "\n",
+    "# Sample Variable List\n",
+    "var_list = ['Surface Pressure', '2m Temp', 'Dew Point Temp', 'U Wind', 'V Wind', 'Precip', 'Cloud Cov']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create figure and TaylorDiagram instance\n",
+    "fig = plt.figure(figsize=(10, 10))\n",
+    "taylor = gv.TaylorDiagram(fig=fig, label='REF')\n",
+    "\n",
+    "# Draw diagonal dashed lines from origin to correlation values\n",
+    "# Also enforces proper X-Y ratio\n",
+    "taylor.add_xgrid(np.array([0.6, 0.9]))\n",
+    "\n",
+    "# Add models to Taylor diagram\n",
+    "taylor.add_model_set(a_sdev,\n",
+    "                  a_ccorr,\n",
+    "                  color='red',\n",
+    "                  marker='o',\n",
+    "                  label='Model A', # add model set legend label\n",
+    "                  fontsize=16)\n",
+    "\n",
+    "taylor.add_model_set(b_sdev,\n",
+    "                  b_ccorr,\n",
+    "                  color='blue',\n",
+    "                  marker='o',\n",
+    "                  label='Model B',\n",
+    "                  fontsize=16)\n",
+    "\n",
+    "# Add model name\n",
+    "taylor.add_model_name(var_list, fontsize=16)\n",
+    "\n",
+    "# Add figure legend\n",
+    "taylor.add_legend(fontsize=16)\n",
+    "\n",
+    "# Add constant centered RMS difference contours.\n",
+    "taylor.add_contours(levels=np.arange(0, 1.1, 0.25),\n",
+    "                 colors='lightgrey',\n",
+    "                 linewidths=0.5);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting Bias\n",
+    "\n",
+    "We can add another layer of information to the Taylor Diagram by changing the marker size and shape depending on a third variable. Most commonly this is done to demonstrate bias, a statistical definition of the difference between the observed and estimated values.\n",
+    "\n",
+    "We do this by adding a `bias_array` kwarg to the `add_model_set()` method. Doing so necessitates removing the `marker` specification, since they are overriden with up or down arrows of varrying sizes. Bias values are in percentages.\n",
+    "\n",
+    "Indicate the meaning of these new bias symbols with a third legend with the call `add_bias_legend()`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Sample corresponding bias data.\n",
+    "\n",
+    "# Case A\n",
+    "a_bias = [2.7, -1.5, 17.31, -20.11, 12.5, 8.341, -4.7]  # bias (%)\n",
+    "\n",
+    "# Case B\n",
+    "b_bias = [1.7, 2.5, -17.31, 20.11, 19.5, 7.341, 9.2]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create figure and TaylorDiagram instance\n",
+    "fig = plt.figure(figsize=(10, 10))\n",
+    "taylor = gv.TaylorDiagram(fig=fig, label='REF')\n",
+    "\n",
+    "# Draw diagonal dashed lines from origin to correlation values\n",
+    "# Also enforces proper X-Y ratio\n",
+    "taylor.add_xgrid(np.array([0.6, 0.9]))\n",
+    "\n",
+    "# Add models to Taylor diagram\n",
+    "taylor.add_model_set(a_sdev,\n",
+    "                  a_ccorr,\n",
+    "                  percent_bias_on=True, # indicate marker and size to be plotted based on bias_array\n",
+    "                  bias_array=a_bias, # specify bias array\n",
+    "                  color='red',\n",
+    "                  label='Model A',\n",
+    "                  fontsize=16)\n",
+    "\n",
+    "taylor.add_model_set(b_sdev,\n",
+    "                  b_ccorr,\n",
+    "                  percent_bias_on=True,\n",
+    "                  bias_array=b_bias,\n",
+    "                  color='blue',\n",
+    "                  label='Model B',\n",
+    "                  fontsize=16)\n",
+    "\n",
+    "# Add model name\n",
+    "taylor.add_model_name(var_list, fontsize=16)\n",
+    "\n",
+    "# Add figure legend\n",
+    "taylor.add_legend(fontsize=16)\n",
+    "\n",
+    "# Add bias legend\n",
+    "taylor.add_bias_legend()\n",
+    "\n",
+    "# Add constant centered RMS difference contours.\n",
+    "taylor.add_contours(levels=np.arange(0, 1.1, 0.25),\n",
+    "                 colors='lightgrey',\n",
+    "                 linewidths=0.5);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Variants"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Taylor Diagram's can be altered in the following variations (not all of which are supported yet by GeoCAT-viz, please consider this [feature request form](https://docs.google.com/forms/d/e/1FAIpQLSeWuogl8Z671et3DdrmglenBPKGFmHVHkpSamTQeoPGuytLZw/viewform)). Coming soon:\n",
+    "\n",
+    "- Supporting display of negative correlations by extending the diagram into a second quandrant to the left.\n",
+    "- Supporting automatic notations connecting related points, say the same variable in two different models to see how it moves towards truth."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Summary\n",
+    "\n",
+    "Taylor Diagrams allow you to display and compare statistical information about several models, variables, ensembles, or other dataset categorizations on a single plot. They are commonly used in climate analysis. With these tools under your belt, you're ready to include stronger data visualizations in your research.\n",
+    "\n",
+    "### What's next?\n",
+    "\n",
+    "Let's look at the meteorology specialty plots [Skew T Diagrams](5-skewt)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Resources and references\n",
+    "\n",
+    "- Karl E. Taylor - \"Summarizing multiple aspects of model performance in a single diagram\", AGU 2001\n",
+    "- [Plotting with GeoCAT Tutorial](https://github.com/anissa111/plotting-with-geocat-tutorial/blob/main/notebooks/02-geocat-viz.ipynb)\n",
+    "- [NCL Graphics: Taylor Diagrams](https://www.ncl.ucar.edu/Applications/taylor.shtml)"
+   ]
+  }
+ ],
+ "metadata": {
+  "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": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/_preview/40/_sources/notebooks/5-skewt.ipynb b/_preview/40/_sources/notebooks/5-skewt.ipynb
new file mode 100644
index 0000000..c202d7e
--- /dev/null
+++ b/_preview/40/_sources/notebooks/5-skewt.ipynb
@@ -0,0 +1,400 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Skew T Diagrams"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Overview\n",
+    "\n",
+    "Skew-T plots are effective thermodynamic diagrams used in meteorology. They display data collected from radiosonde balloons collecting atmospheric data including pressure level, temperature, relative humidity, and wind speed and direction. \n",
+    "\n",
+    "In this notebook, we'll learn about the structural and data components of Skew-T diagrams and how to plot them in Python using the [`MetPy`](https://unidata.github.io/MetPy/latest/index.html) package.\n",
+    "\n",
+    "1. Elements of a Skew-T Diagram\n",
+    "2. Acquiring Sounding Data\n",
+    "3. Making a Skew-T plot in Python (with MetPy!)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Prerequisites\n",
+    "\n",
+    "| Concepts | Importance | Notes |\n",
+    "| --- | --- | --- |\n",
+    "| [Matplotlib](https://foundations.projectpythia.org/core/matplotlib.html) | Necessary | |\n",
+    "| [Metpy](https://unidata.github.io/MetPy/latest/index.html) | Useful | |\n",
+    "\n",
+    "- **Time to learn**: 10 minutes\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Elements of a Skew-T Plot\n",
+    "Let's start out by talking about the structural elements of a Skew-T plot.\n",
+    "\n",
+    "1. **Temperature Lines** are drawn at an angle up from the x-axis and are where the name \"Skew-T\" comes from.\n",
+    "2. **Pressure Lines** are horizontal from the y-axis, where pressure is plotted at a logarithmic scale.\n",
+    "3. **Dry Adiabats**: are lines of constant potential temperature.\n",
+    "4. **Moist Adiabats**: are lines of constant equivalent potential temperature.\n",
+    "5. **Mixing Ratio Lines**: represent lines of constant mixing ratio.\n",
+    "\n",
+    "On all those structural elements, Skew-T plots have two lines plotted on them, **air temperature** and **dew point**. In this notebook, we'll be plotting the air temperature in red and the dew point in blue.\n",
+    "\n",
+    "Additionally, Skew-T plots have **wind barbs**. These describe the wind speed and direction at different pressure levels and are plotted on the right side of the diagram.\n",
+    "\n",
+    ":::{tip}\n",
+    "For a more detailed description and a cool interactive diagram, visit [NOAA's Skew-T page](https://www.noaa.gov/jetstream/upperair/skew-t-log-p-diagrams).\n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "from mpl_toolkits.axes_grid1.inset_locator import inset_axes\n",
+    "import pandas as pd\n",
+    "\n",
+    "from metpy.plots import SkewT, Hodograph\n",
+    "import metpy.calc as mpcalc\n",
+    "from metpy.units import units"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Acquiring Sounding Data\n",
+    "If you want to get your own sounding data, run the following code in a new cell using the date and station of your choice:\n",
+    "\n",
+    "```python\n",
+    "from datetime import datetime\n",
+    "from siphon.simplewebservice.wyoming import WyomingUpperAir\n",
+    "\n",
+    "date = datetime(2023, 7, 7, 0)\n",
+    "station = 'JAX'\n",
+    "df = WyomingUpperAir.request_data(date, station)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We've already done this for you and saved the data in a file, `notebooks/data/jax_sounding.csv` for you to use. We'll use that file's data for the rest of the notebook"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv('data/jax_sounding.csv')\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "h = df['height'].values\n",
+    "p = df['pressure'].values\n",
+    "T = df['temperature'].values\n",
+    "Td = df['dewpoint'].values\n",
+    "u = df['u_wind'].values\n",
+    "v = df['v_wind'].values"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Making a Skew-T plot in Python (with MetPy!)\n",
+    "So, all of that might seem a little abstract without a visual. We're going to use MetPy's SkewT module to make an actual Skew-T plot with the sounding data we downloaded earlier.\n",
+    "\n",
+    "From the [MetPy documentation](https://unidata.github.io/MetPy/latest/api/generated/metpy.plots.SkewT.html):\n",
+    "> \"This class simplifies the process of creating Skew-T log-P plots in using matplotlib. It handles requesting the appropriate skewed projection, and provides simplified wrappers to make it easy to plot data, add wind barbs, and add other lines to the plots (e.g. dry adiabats)\"\n",
+    "\n",
+    "### Just the basics\n",
+    "To start with, let's create a very minimal Skew-T plot with just the pressure and temperature lines under the sounding data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# make figure and `SkewT` object\n",
+    "fig = plt.figure(figsize=(9, 9))\n",
+    "skewt = SkewT(fig=fig, rotation=45)\n",
+    "\n",
+    "# plot sounding data\n",
+    "skewt.plot(p, T, 'r')  # air temperature\n",
+    "skewt.plot(p, Td, 'b')  # dew point\n",
+    "skewt.plot_barbs(p[p >= 100], u[p >= 100], v[p >= 100])  # wind barbs"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's talk break that down a bit.\n",
+    "    \n",
+    "```python\n",
+    "# make figure and `SkewT` object\n",
+    "fig = plt.figure(figsize=(9, 9))\n",
+    "skewt = SkewT(fig=fig, rotation=45)\n",
+    "```\n",
+    "First, we made a new figure and used it to make a new skew-T plot. If you don't provide a figure to `SkewT`, one will be created for you, but it's useful to make the default figure size a bit larger for this tutorial.\n",
+    "\n",
+    "Additionally, we've also set the `rotation` kwarg to be 45 degrees. This is the angle that the temperature lines will be drawn at. `MetPy`'s default is 30 degrees, but we're going to use a more traditional 45 degrees for this tutorial.\n",
+    "\n",
+    "```python\n",
+    "\n",
+    "```python\n",
+    "# plot sounding data\n",
+    "skewt.plot(p, T, 'r') # air temperature\n",
+    "skewt.plot(p, Td, 'b') # dew point\n",
+    "```\n",
+    "\n",
+    "For air temperature and dew point, we can use the standard `plot` method. The `SkewT` object provides a wrapper around matplotlib's `plot` method, and can be used in the same way. Note that even though pressure is on the y-axis, we still provide it as the first argument to `plot` because it is the independent variable. \n",
+    "\n",
+    "```python\n",
+    "skewt.plot_barbs(p[p >= 100], u[p >= 100], v[p >= 100]) # wind barbs\n",
+    "```\n",
+    "\n",
+    "Finally, we use `SkewT`'s [`plot_barbs`](https://unidata.github.io/MetPy/latest/api/generated/metpy.plots.SkewT.html#metpy.plots.SkewT.plot_barbs) method to add the wind barbs to the right side of the plot. This is a wrapper around matplotlib's [`barbs`](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.barbs.html#matplotlib.pyplot.barbs) method that applies the appropriate transformation and positions the barbs as expected for a Skew-T plot. Note that we only plot the wind barbs for pressure levels greater than 100 hPa. This is just to keep the wind barbs from extending off the plot.\n",
+    "\n",
+    "In addition to the elements we have added specifically, you can see that the `SkewT` object also added some of the structural elements we discussed previously. By default, `SkewT` adds the horizontal pressure and skewed temperature lines. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Adding more structural elements\n",
+    "Next, let's add the rest of the structural elements to the plot."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# make figure and `SkewT` object\n",
+    "fig = plt.figure(figsize=(9, 9))\n",
+    "skewt = SkewT(fig=fig, rotation=45)\n",
+    "\n",
+    "# plot sounding data\n",
+    "skewt.plot(p, T, 'r') # air temperature\n",
+    "skewt.plot(p, Td, 'b') # dew point\n",
+    "skewt.plot_barbs(p[p >= 100], u[p >= 100], v[p >= 100])  # wind barbs\n",
+    "\n",
+    "# add dry adiabats, moist adiabats, and mixing ratio lines\n",
+    "skewt.plot_dry_adiabats()\n",
+    "skewt.plot_moist_adiabats()\n",
+    "skewt.plot_mixing_lines()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Similarly to the `plot_barbs` command, the `SkewT` object provides convenient methods for adding the remaining structural elements to the plot.\n",
+    "\n",
+    "The default appearance of these elements is:\n",
+    "- **Dry Adiabats**: dashed red/pinkish lines with an alpha value of 0.5\n",
+    "- **Moist Adiabats**: dashed blue lines with an alpha value of 0.5\n",
+    "- **Mixing Ratio Lines**: dashed green lines with an alpha value of 0.8\n",
+    "\n",
+    "These defaults can be overwritten by providing additional keyword arguments to the methods."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Polishing the plot\n",
+    "Now that we have all the structural elements on the plot, let's make it look a little nicer. The previous plot has all the necessary information, but it's a little cluttered and hard to read."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# make figure and `SkewT` object\n",
+    "fig = plt.figure(figsize=(8,12))\n",
+    "skewt = SkewT(fig=fig)\n",
+    "skewt.ax.set_ylim(1000, 10)\n",
+    "\n",
+    "# plot sounding data\n",
+    "skewt.plot(p, T, 'r') # air temperature\n",
+    "skewt.plot(p, Td, 'b') # dew point\n",
+    "skewt.plot_barbs(p[::5], u[::5], v[::5]) # add a wind barb every fifth level\n",
+    "\n",
+    "# add dry adiabats, moist adiabats, and mixing ratio lines\n",
+    "skewt.plot_dry_adiabats(linewidth=0.5)\n",
+    "skewt.plot_moist_adiabats(linewidth=0.5)\n",
+    "skewt.plot_mixing_lines(linewidth=0.5)\n",
+    "\n",
+    "# add axis and figure titles\n",
+    "plt.title(df['station'][0] + ' ' + str(df['time'][0]))\n",
+    "plt.xlabel('temperature (degC)')\n",
+    "plt.ylabel('pressure (hPa)')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Here, we've made the following changes:\n",
+    "- changed the figsize to `figsize=(8,12)`\n",
+    "- removed the `rotation` kwarg from the `SkewT` object to allow the upper air temp and dew point lines to be seen without being cut off or expanding the x-axis limits\n",
+    "- `skewt.ax.set_ylim(1000, 10)`: sets the y-axis limits to 1000 hPa at the bottom and 10 hPa at the top to include the entire sounding\n",
+    "- `skewt.plot_barbs(p[::5], u[::5], v[::5])`: plots every fifth wind barb to reduce clutter, also removes limiting the wind barbs to pressure levels greater than 100 hPa\n",
+    "- reduced the linewidth of the dry adiabats, moist adiabats, and mixing ratio lines to 0.5\n",
+    "- added axes labels\n",
+    "- added a title including the station name and date of the sounding pulled from the data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Additional Skew-T Options\n",
+    "There are a few additional options that can be used to customize the appearance of the Skew-T plot that we haven't covered here. For more information, check out the [MetPy documentation](https://unidata.github.io/MetPy/latest/api/generated/metpy.plots.SkewT.html).\n",
+    "\n",
+    "Here's a few quick examples of some of those additional options:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig = plt.figure(figsize=(15, 4))\n",
+    "\n",
+    "# set up some subplots\n",
+    "skewt_plots = []\n",
+    "for i in range(0,4):\n",
+    "    skewt_plots.append(SkewT(fig=fig, subplot=(1,4,i+1), rotation=45))\n",
+    "    skewt_plots[i].plot(p, T, 'r') # air temperature\n",
+    "    skewt_plots[i].plot(p, Td, 'b') # dew point\n",
+    "    skewt_plots[i].plot_barbs(p[::5], u[::5], v[::5], length=5, linewidth=0.5)\n",
+    "    skewt_plots[i].plot_dry_adiabats(linewidth=0.5)\n",
+    "    skewt_plots[i].plot_moist_adiabats(linewidth=0.5)\n",
+    "    skewt_plots[i].plot_mixing_lines(linewidth=0.5)\n",
+    "    skewt_plots[i].ax.set_xlabel('')\n",
+    "    skewt_plots[i].ax.set_ylabel('')\n",
+    "\n",
+    "# calculate LCL and parcel profile\n",
+    "lcl_p, lcl_t = mpcalc.lcl(p[0]*units.hPa, T[0]*units.degC, Td[0]*units.degC)\n",
+    "lcl_prof = mpcalc.parcel_profile(p*units.hPa, T[0]*units.degC, Td[0]*units.degC).to('degC')\n",
+    "\n",
+    "\n",
+    "# LCL and parcel profile skew-T\n",
+    "skewt_plots[0].ax.set_title('LCL and Parcel Profile')\n",
+    "skewt_plots[0].plot(p, lcl_prof, 'k')\n",
+    "skewt_plots[0].plot(lcl_p, lcl_t, 'ko')\n",
+    "\n",
+    "\n",
+    "# add constant temperature line at t=0\n",
+    "skewt_plots[1].ax.set_title('Constant T Line at 0$^\\circ$C')\n",
+    "skewt_plots[1].ax.axvline(0, color='k', ls='--')\n",
+    "\n",
+    "\n",
+    "# shade CAPE and CIN\n",
+    "skewt_plots[2].ax.set_title('Shade CAPE and CIN')\n",
+    "skewt_plots[2].plot(p, lcl_prof, 'k')\n",
+    "skewt_plots[2].shade_cin(p*units.hPa, T*units.degC, lcl_prof, Td*units.degC)\n",
+    "skewt_plots[2].shade_cape(p*units.hPa, T*units.degC, lcl_prof)\n",
+    "\n",
+    "\n",
+    "# Hodograph\n",
+    "skewt_plots[3].ax.set_title('Hodograph')\n",
+    "ax_hod = inset_axes(skewt_plots[3].ax, '30%', '30%')\n",
+    "hod = Hodograph(ax_hod, component_range=50)\n",
+    "hod.add_grid(increment=10)\n",
+    "hod.plot_colormapped(u, v, h)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Summary\n",
+    "Skew-T plots are a useful tool for visualizing and understanding sounding data. Creating Skew-T plots in python might seem challenging given their unique structural characteristics, but `MetPy`'s `SkewT` module greatly simplifies the process.\n",
+    "\n",
+    "### What's next?\n",
+    "Next up let’s discuss [spaghetti plots](6-spaghetti)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Resources and references\n",
+    "\n",
+    "- [Wyoming Upper Air](https://weather.uwyo.edu/upperair/)\n",
+    "- [Siphon](https://unidata.github.io/siphon/latest/examples/upperair/Wyoming_Request.html)\n",
+    "- [MetPy's SkewT documentation](https://unidata.github.io/MetPy/latest/api/generated/metpy.plots.SkewT.html)\n",
+    "- [NOAA's JetStream](https://www.noaa.gov/jetstream)'s [Skew-T Plot](https://www.noaa.gov/jetstream/upperair/skew-t-plots) page"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "advanced-viz-cookbook",
+   "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": "3.10.12"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/_preview/40/_sources/notebooks/6-spaghetti.ipynb b/_preview/40/_sources/notebooks/6-spaghetti.ipynb
new file mode 100644
index 0000000..ed2e8c3
--- /dev/null
+++ b/_preview/40/_sources/notebooks/6-spaghetti.ipynb
@@ -0,0 +1,942 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Spaghetti Plots"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Overview\n",
+    "Spaghetti Plots are a tool typically used to visualize movement. Essentially they are many line plots displayed on the same axes. By drawing the same path at different times or from different forecasts, we can see the patterns and chaos associated with the plotted variable.\n",
+    "\n",
+    "1. Spaghetti Hurricane Plot\n",
+    "1. Spaghetti Contour Plot\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Prerequisites\n",
+    "\n",
+    "| Concepts | Importance | Notes |\n",
+    "| --- | --- | --- |\n",
+    "| [Matplotlib](https://foundations.projectpythia.org/core/matplotlib.html) | Necessary | |\n",
+    "| [Cartopy](https://foundations.projectpythia.org/core/cartopy.html) | Necessary | |\n",
+    "\n",
+    "- **Time to learn**: 10 minutes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import xarray as xr\n",
+    "import datetime\n",
+    "\n",
+    "import matplotlib as mpl\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.ticker as mticker\n",
+    "import matplotlib.pylab as pl\n",
+    "\n",
+    "import cartopy.crs as ccrs\n",
+    "import cartopy.feature as cfeature\n",
+    "\n",
+    "import geocat.viz as gv\n",
+    "import geocat.datafiles as gdf\n",
+    "\n",
+    "import tropycal.tracks as tracks\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings('ignore')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Spaghetti Hurricane Plot\n",
+    "\n",
+    "Visualizing the predicted path of an incoming hurricane is both complicated and important. There are many plots that meteorologists are trained to read, but when shared with the public can be confusing or alarming. There are strengths and weaknesses to each hurricane visualization approach. The cone of uncertainty, for example, is often misinterpreted to suggest the hurricane growth in time rather than widening of path possibilities. Spaghetti plots on the other hand, clearly show hurricane paths but show them as equal to each other.\n",
+    "\n",
+    "In this example we will plot some forecasted paths from the 2012 North-Atlantic storm Hurricane Sandy. Each forecast is from the Global Ensemble Forecast System (GEFS) provided by the National Centers for Environmental Prediction at NOAA.\n",
+    "\n",
+    "We'll use the package [`tropycal`](tropycal.github.io/tropycal/) to easily access HURDAT2 and IBTrACS reanalysis data and operational National Hurricane Center (NHC) Best Track data. `tropycal` has a lot of great features for real time hurricane visualization, but since this Cookbook is comparatively static we're using a past hurricane and only using this package to access the data. Our plotting will be done with `matplotlib` and `cartopy`."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Read in Data\n",
+    "\n",
+    "First, to grab our hurricane data from tropycal we need to specify a basin:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "basin = tracks.TrackDataset(basin='north_atlantic')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Find your storm by name and year:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "storm = basin.get_storm(('sandy',2012))\n",
+    "\n",
+    "sandy_ds = storm.to_xarray()\n",
+    "sandy_ds"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "And we can grab any of a number of forecasts:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "forecasts = storm.get_operational_forecasts()\n",
+    "print(forecasts.keys())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Each key represents a forecast model, we'll select the GFS AP01 forecast which has many initializations. These initializations are named by time in YYYYMMDDHH format:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "forecasts_AP01 = forecasts['AP01']\n",
+    "print(forecasts_AP01.keys())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Spaghetti Plot of One Esemble Member\n",
+    "\n",
+    "Let's set up our Cartopy grid to plot one ensemble member of the hurricane model.\n",
+    "\n",
+    "These steps might be familiar to you but we:\n",
+    " - create our axes with a Plate Caree projection\n",
+    " - add land features\n",
+    " - add grid lines\n",
+    " - edit our gridline labels to not duplicate on all four sides\n",
+    " - edit our gridline label fontsize"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set up Cartopy Projection with land features\n",
+    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
+    "ax.add_feature(cfeature.LAND, facecolor='lightgray')\n",
+    "\n",
+    "# Add Gridlines to right and bottom\n",
+    "gl = ax.gridlines(crs=ccrs.PlateCarree(), draw_labels=True,\n",
+    "                  linewidth=.25, color='gray', alpha=0.5, linestyle='--')\n",
+    "gl.xlabels_top = False\n",
+    "gl.ylabels_left = False\n",
+    "gl.xlabel_style = {'size': 8,}\n",
+    "gl.ylabel_style = {'size': 8,}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Looking at GFS Ensemble Member Forecast AP01, we can make a spaghetti plot of each of these initializations.\n",
+    "\n",
+    "The crux of the visualization is that we loop through and plot each initialization (in `for i in forecasts_AP01`), plot the true hurricane path, and add a legend (`plt.legend()`)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set up Cartopy Projection with land features\n",
+    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
+    "ax.add_feature(cfeature.LAND, facecolor='lightgray')\n",
+    "\n",
+    "# Add Gridlines to right and bottom\n",
+    "gl = ax.gridlines(crs=ccrs.PlateCarree(), draw_labels=True,\n",
+    "                  linewidth=.25, color='gray', alpha=0.5, linestyle='--')\n",
+    "gl.xlabels_top = False\n",
+    "gl.ylabels_left = False\n",
+    "gl.xlabel_style = {'size': 8,}\n",
+    "gl.ylabel_style = {'size': 8,}\n",
+    "\n",
+    "# Spaghetti Plot of AP01 forecasts\n",
+    "forecasts_AP01 = forecasts['AP01']\n",
+    "for i in forecasts_AP01:\n",
+    "    # We're naming this line even though it is over-written each loop,\n",
+    "    # so that we can reference the last line in the legend\n",
+    "    # (as they all share the same formatting)\n",
+    "    forecast_path = plt.plot(forecasts_AP01[i]['lon'],\n",
+    "                            forecasts_AP01[i]['lat'],\n",
+    "                            color='cornflowerblue',\n",
+    "                            linewidth=0.5)\n",
+    "\n",
+    "# Plot the real storm path in a thicker black line\n",
+    "true_path = plt.plot(sandy_ds.lon,\n",
+    "    sandy_ds.lat,\n",
+    "    color='k',\n",
+    "    linewidth=1) # Make it thicker than the ensemble paths\n",
+    "\n",
+    "# Add a legend with only one forecast_path and the true_path\n",
+    "plt.legend([true_path[0], forecast_path[0]], ['True Path', 'GFS AP01 Forecasts'])\n",
+    "\n",
+    "plt.title('Hurricane Sandy (2012)');"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This plot is a great example of a spaghetti plot, but is it super useful? Is it confusing? Each line looks like it carries the same weight, when some of these possible paths are from hours before Sandy hit the American NorthEast and others are from days before.\n",
+    "\n",
+    "Maybe it is better to show the user some indication of how the forecast for this ensemble converged on the true path with later and later initialization times."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Spaghetti Plot of One Esemble Member with Temporal Colormapping\n",
+    "\n",
+    "Some additions to look out for:\n",
+    " - we grab the time information from the initialization name using `datetime`\n",
+    " - normalize a colormap by the time information with `cmap = mpl.colors.ListedColormap(plt.cm.autumn_r(normalized_times))`\n",
+    " - loop through the colormap as we loop through the time steps within the ensemble member\n",
+    " - add a colorbar  with `plt.colorbar(plt.cm.ScalarMappable(cmap=cmap))`, where `ScalarMappable` is used to map scalar data to RGBA."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set up Cartopy Projection with land features\n",
+    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
+    "ax.add_feature(cfeature.LAND, facecolor='lightgray')\n",
+    "\n",
+    "# Add Gridlines to right and bottom\n",
+    "gl = ax.gridlines(crs=ccrs.PlateCarree(), draw_labels=True,\n",
+    "                  linewidth=.25, color='gray', alpha=0.5, linestyle='--')\n",
+    "gl.xlabels_top = False\n",
+    "gl.ylabels_left = False\n",
+    "gl.xlabel_style = {'size': 8,}\n",
+    "gl.ylabel_style = {'size': 8,}\n",
+    "\n",
+    "# Spaghetti Plot of AP01 forecasts\n",
+    "forecasts_AP01 = forecasts['AP01']\n",
+    "\n",
+    "# Get time information from initialization name\n",
+    "format = '%Y%m%d%H'\n",
+    "times = [datetime.datetime.strptime(i, format) for i in list(forecasts_AP01.keys())]\n",
+    "normalized_times = [(i - times[0]) / (times[-1] - times[0]) for i in times]\n",
+    "\n",
+    "# Create a color list for forecast iteration\n",
+    "cmap = mpl.colors.ListedColormap(plt.cm.autumn_r(normalized_times))\n",
+    "\n",
+    "c = 0\n",
+    "for i in forecasts_AP01:\n",
+    "    plt.plot(forecasts_AP01[i]['lon'],\n",
+    "        forecasts_AP01[i]['lat'],\n",
+    "        color=cmap(c),\n",
+    "        linewidth=0.5)\n",
+    "    c += 1\n",
+    "\n",
+    "# Plot the real storm path\n",
+    "true_path = plt.plot(sandy_ds.lon,\n",
+    "    sandy_ds.lat,\n",
+    "    color='red', # Selecting a color matching one of the cmap extremes\n",
+    "    linewidth=1,\n",
+    "    label='True Path') # The easiest way to add a plot to the legend is with the label kwarg\n",
+    "\n",
+    "# Add a legend with only one the true_path\n",
+    "# Forecasted paths will be shown in a colorbar\n",
+    "plt.legend()\n",
+    "\n",
+    "plt.title('Hurricane Sandy')\n",
+    "\n",
+    "# Add colorbar\n",
+    "cbar = plt.colorbar(plt.cm.ScalarMappable(cmap=cmap), ax=ax, orientation='horizontal', shrink=0.8, pad=0.075)\n",
+    "cbar.set_label('GFS AP01 Forecasts', labelpad=6)\n",
+    "\n",
+    "# Set tick locations and labels for every 4th tick\n",
+    "# i.e. once a day (a new initialiation every 6 hours)\n",
+    "tick_indices = range(0, len(times), 4)\n",
+    "cbar.set_ticks([normalized_times[i] for i in tick_indices])\n",
+    "cbar.set_ticklabels([times[i].strftime('%d') for i in tick_indices], fontsize=8)\n",
+    "cbar.ax.text(1.02, 0.5, 'OCT-2012', va='top', ha='left', transform=cbar.ax.transAxes);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we can see that as the storm progressed, the AP01 GFS Forecast Ensemble Member converges on Sandy's true path as the storm progresses through October, 2012."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Alternatively, we may want to plot the possible hurricane paths from multiple GFS Forecast Ensemble members from the same iteration timestamp as a spaghetti plot."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Spaghetti Plot of All Esemble Members at One Point in Time\n",
+    "\n",
+    "First, we need to grab all of the relevant forecast keys to GFS models (the ones that are titled `AP##` from 0 to 20):"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# List of valid AP## keys from 0 to 20\n",
+    "GFS_keys = ['AP' + str(i).zfill(2) for i in range(1, 21)]\n",
+    "\n",
+    "# Arbitrarily selected midnight on October 27, 2012 to plot all forecasts at\n",
+    "time = '2012102700'\n",
+    "\n",
+    "# Set up Cartopy Projection with land features\n",
+    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
+    "ax.add_feature(cfeature.LAND, facecolor='lightgray')\n",
+    "\n",
+    "# Add Gridlines to right and bottom\n",
+    "gl = ax.gridlines(crs=ccrs.PlateCarree(), draw_labels=True,\n",
+    "                  linewidth=.25, color='gray', alpha=0.5, linestyle='--')\n",
+    "gl.xlabels_top = False\n",
+    "gl.ylabels_left = False\n",
+    "gl.xlabel_style = {'size': 8,}\n",
+    "gl.ylabel_style = {'size': 8,}\n",
+    "\n",
+    "# Spaghetti Plot of forecasts\n",
+    "for i in range(20):\n",
+    "    ap = forecasts[GFS_keys[i]]\n",
+    "    forecast_path = plt.plot(ap[time]['lon'],\n",
+    "        ap[time]['lat'],\n",
+    "        color='cornflowerblue',\n",
+    "        linewidth=0.5)\n",
+    "\n",
+    "# Plot the real storm path in a thicker black line\n",
+    "true_path = plt.plot(sandy_ds.lon, sandy_ds.lat, color='k', linewidth=1)\n",
+    "\n",
+    "# Add a legend with only one forecast_path and the true_path\n",
+    "plt.legend([true_path[0], forecast_path[0]],\n",
+    "    ['True Path', 'AP01 - AP20'],\n",
+    "    loc='lower right')\n",
+    "\n",
+    "plt.title('Hurricane Sandy - GFS Forecasts from Oct-27-2012');"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Hurricane Sandy hit the NorthEast on October 29, 2012. From this spaghetti plot we can see that by the 27th most ensemble members of the GFS forecast predicted a similar behavior for the storm.\n",
+    "\n",
+    "There is more analysis that could be done on hurriane trajectories. We have covered some plotting customization that might be useful for your analysis and data visualization."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Spaghetti Contour Plot"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In this example we will read in the geopotential height datafile `HGT500_MON_1958-1997.nc` from using geocat-datafiles. Then we will look at different timesteps of the `HGT` geopotential height variable at the 5500 gpm level, plotting this contour's locations through time. This example is adapted from [GeoCAT](https://geocat.ucar.edu/)'s [NCL_conOncon_5](https://geocat-examples.readthedocs.io/en/latest/gallery/Contours/NCL_conOncon_5.html) script."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Read in data:\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "ds = xr.open_dataset(gdf.get(\"netcdf_files/HGT500_MON_1958-1997.nc\"),\n",
+    "                     decode_times=False)\n",
+    "\n",
+    "ds"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Initial Spaghetti Plot on North Polar Stereographic Projection\n",
+    "\n",
+    "Again, first let's set up our Cartopy axes. This time setting our projection to `NorthPolarStereo`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set up Cartopy Map Projection\n",
+    "fig = plt.figure(figsize=(8, 8))\n",
+    "ax = plt.axes(projection=ccrs.NorthPolarStereo())\n",
+    "\n",
+    "gv.set_map_boundary(ax, [-180, 180], [0, 40], south_pad=1)\n",
+    "ax.add_feature(cfeature.LAND, facecolor='lightgray')\n",
+    "\n",
+    "# Set draw_labels to False so that we can manually manipulate it\n",
+    "gl = ax.gridlines(ccrs.PlateCarree(),\n",
+    "                  draw_labels=False,\n",
+    "                  linestyle=\"--\",\n",
+    "                  linewidth=1,\n",
+    "                  color='darkgray',\n",
+    "                  zorder=2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Then let's add our data to this plot.\n",
+    "\n",
+    "We will iterate through every 12th timestep\n",
+    " - handling any artifacts of the global wrapping at 0 or 360 degrees with `gv.xr_add_cyclic_longitudes(p, \"lon\")`\n",
+    " - and calling a contour plot on a single level."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set up Cartopy Map Projection\n",
+    "fig = plt.figure(figsize=(8, 8))\n",
+    "ax = plt.axes(projection=ccrs.NorthPolarStereo())\n",
+    "\n",
+    "gv.set_map_boundary(ax, [-180, 180], [0, 40], south_pad=1)\n",
+    "ax.add_feature(cfeature.LAND, facecolor='lightgray')\n",
+    "\n",
+    "# Set draw_labels to False so that we can manually manipulate it\n",
+    "gl = ax.gridlines(ccrs.PlateCarree(),\n",
+    "                  draw_labels=False,\n",
+    "                  linestyle=\"--\",\n",
+    "                  linewidth=1,\n",
+    "                  color='darkgray',\n",
+    "                  zorder=2)\n",
+    "\n",
+    "# Iterate through the 19 timesteps, plotting the data\n",
+    "n = 19\n",
+    "for x in range(n):\n",
+    "\n",
+    "    # Get a slice of data at the 12*x timestep\n",
+    "    p = ds.HGT.isel(time=12*x)\n",
+    "\n",
+    "    # Use geocat-viz utility function to handle the no-shown-data artifact\n",
+    "    # of 0 and 360-degree longitudes\n",
+    "    slon = gv.xr_add_cyclic_longitudes(p, \"lon\")\n",
+    "\n",
+    "    # Plot contour data at pressure level 5500 for the 12*x timestep\n",
+    "    p = slon.plot.contour(ax=ax,\n",
+    "                          transform=ccrs.PlateCarree(),\n",
+    "                          linewidths=0.5,\n",
+    "                          levels=[5500],\n",
+    "                          colors='blue',\n",
+    "                          add_labels=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Adding Directional Labels to Polar Stereographic Projection\n",
+    "\n",
+    "Adding labels to a map projection that aren't lat/lon coordinates is less than intuitive. In this example we manually add labels and select their locations so that you can see NESW labels.\n",
+    "\n",
+    "For this we use `mticker.FixedLocator()` to manipulare gridline spacing, manipulate East and West tick labels separately, and specify tick locations with `ax.text(transform=ccrs.Geodetic())`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Generate a figure\n",
+    "fig = plt.figure(figsize=(8, 8))\n",
+    "\n",
+    "# Create an axis with a polar stereographic projection\n",
+    "ax = plt.axes(projection=ccrs.NorthPolarStereo())\n",
+    "\n",
+    "# Add land feature to map\n",
+    "ax.add_feature(cfeature.LAND, facecolor='lightgray')\n",
+    "\n",
+    "# Set map boundary to include latitudes between 0 and 40 and longitudes\n",
+    "# between -180 and 180 only\n",
+    "gv.set_map_boundary(ax, [-180, 180], [0, 40], south_pad=1)\n",
+    "\n",
+    "# Set draw_labels to False so that you can manually manipulate it later\n",
+    "gl = ax.gridlines(ccrs.PlateCarree(),\n",
+    "                  draw_labels=False,\n",
+    "                  linestyle=\"--\",\n",
+    "                  linewidth=1,\n",
+    "                  color='darkgray',\n",
+    "                  zorder=2)\n",
+    "\n",
+    "# Manipulate latitude and longitude gridline numbers and spacing\n",
+    "gl.ylocator = mticker.FixedLocator(np.arange(0, 90, 15))\n",
+    "gl.xlocator = mticker.FixedLocator(np.arange(-180, 180, 30))\n",
+    "\n",
+    "# Manipulate longitude labels (0, 30 E, 60 E, ..., 30 W, etc.)\n",
+    "ticks = np.arange(0, 210, 30)\n",
+    "etick = ['0'] + [\n",
+    "    r'%dE' % tick for tick in ticks if (tick != 0) & (tick != 180)\n",
+    "] + ['180']\n",
+    "wtick = [r'%dW' % tick for tick in ticks if (tick != 0) & (tick != 180)]\n",
+    "labels = etick + wtick\n",
+    "xticks = np.arange(0, 360, 30)\n",
+    "yticks = np.full_like(xticks, -5)  # Latitude where the labels will be drawn\n",
+    "for xtick, ytick, label in zip(xticks, yticks, labels):\n",
+    "    if label == '180':\n",
+    "        ax.text(xtick,\n",
+    "                ytick,\n",
+    "                label,\n",
+    "                fontsize=12,\n",
+    "                horizontalalignment='center',\n",
+    "                verticalalignment='top',\n",
+    "                transform=ccrs.Geodetic())\n",
+    "    elif label == '0':\n",
+    "        ax.text(xtick,\n",
+    "                ytick,\n",
+    "                label,\n",
+    "                fontsize=12,\n",
+    "                horizontalalignment='center',\n",
+    "                verticalalignment='bottom',\n",
+    "                transform=ccrs.Geodetic())\n",
+    "    else:\n",
+    "        ax.text(xtick,\n",
+    "                ytick,\n",
+    "                label,\n",
+    "                fontsize=12,\n",
+    "                horizontalalignment='center',\n",
+    "                verticalalignment='center',\n",
+    "                transform=ccrs.Geodetic())\n",
+    "\n",
+    "# Iterate through 18 different timesteps\n",
+    "for x in range(19):\n",
+    "\n",
+    "    # Get a slice of data at the 12*x+1 timestep\n",
+    "    p = ds.HGT.isel(time=12 * x + 1)\n",
+    "\n",
+    "    # Use geocat-viz utility function to handle the no-shown-data artifact\n",
+    "    # of 0 and 360-degree longitudes\n",
+    "    slon = gv.xr_add_cyclic_longitudes(p, \"lon\")\n",
+    "\n",
+    "    # Plot contour data at pressure level 5500 for the 12*x+1 timestep\n",
+    "    p = slon.plot.contour(ax=ax,\n",
+    "                          transform=ccrs.PlateCarree(),\n",
+    "                          linewidths=0.5,\n",
+    "                          levels=[5500],\n",
+    "                          colors='blue',\n",
+    "                          add_labels=False)\n",
+    "\n",
+    "# Use geocat.viz.util convenience function to add titles\n",
+    "gv.set_titles_and_labels(ax,\n",
+    "                         maintitle=r\"$\\bf{Spaghetti}$\" + \" \" + r\"$\\bf{Plot}$\",\n",
+    "                         lefttitle=slon.long_name,\n",
+    "                         righttitle='5500 '+slon.units)\n",
+    "\n",
+    "# Make tight layout\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now in this example, there isn't necessarily a temporal progression of geopotential height, but to be sure let's add a colormap component to each of our loops. \n",
+    "\n",
+    "This is also useful because for your data visualization application there might be, and the commands are slightly different for a contour plot as for a line plot in the above example."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Contour Spaghetti Plot Temporal Colorbar Manipulation\n",
+    "\n",
+    "Let's update add a discrete colorbar that has yearly ticklabels. One challenge addressed in this example is setting the ticklabels to be in the center of each discrete color box.\n",
+    "\n",
+    "New code lines here are:\n",
+    " - creating a discrete colormap with `plt.get_cmap('winter_r', n)` and color bounds with `np.linspace()`\n",
+    " - specifying the color in each contour call with `colors=[cmap(bounds)[x]]`\n",
+    " - adjusting the time unit for the colorbar ticks\n",
+    " - adding a colorbar for the normalized colormap, calling the `orientation`, `shrink`, and `pad` keyword arguments to make it display well\n",
+    " - setting colorbar tick location to be at color midpoints with `cbar.set_ticks()`, yet forcing their labels to be years (not year midpoints) with `cbar.set_ticklabels()`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set up Cartopy Map Projection\n",
+    "fig = plt.figure(figsize=(8, 8))\n",
+    "ax = plt.axes(projection=ccrs.NorthPolarStereo())\n",
+    "\n",
+    "gv.set_map_boundary(ax, [-180, 180], [0, 40], south_pad=1)\n",
+    "ax.add_feature(cfeature.LAND, facecolor='lightgray')\n",
+    "\n",
+    "# Set draw_labels to False so that we can manually manipulate it\n",
+    "gl = ax.gridlines(ccrs.PlateCarree(),\n",
+    "                  draw_labels=False,\n",
+    "                  linestyle=\"--\",\n",
+    "                  linewidth=1,\n",
+    "                  color='darkgray',\n",
+    "                  zorder=2)\n",
+    "\n",
+    "# Manipulate latitude and longitude gridline numbers and spacing\n",
+    "gl.ylocator = mticker.FixedLocator(np.arange(0, 90, 15))\n",
+    "gl.xlocator = mticker.FixedLocator(np.arange(-180, 180, 30))\n",
+    "\n",
+    "# Manipulate longitude labels (0, 30 E, 60 E, ..., 30 W, etc.)\n",
+    "ticks = np.arange(0, 210, 30)\n",
+    "etick = ['0'] + [\n",
+    "    r'%dE' % tick for tick in ticks if (tick != 0) & (tick != 180)\n",
+    "] + ['180']\n",
+    "wtick = [r'%dW' % tick for tick in ticks if (tick != 0) & (tick != 180)]\n",
+    "labels = etick + wtick\n",
+    "xticks = np.arange(0, 360, 30)\n",
+    "yticks = np.full_like(xticks, -5)  # Latitude where the labels will be drawn\n",
+    "for xtick, ytick, label in zip(xticks, yticks, labels):\n",
+    "    if label == '180':\n",
+    "        ax.text(xtick,\n",
+    "                ytick,\n",
+    "                label,\n",
+    "                fontsize=12,\n",
+    "                horizontalalignment='center',\n",
+    "                verticalalignment='top',\n",
+    "                transform=ccrs.Geodetic())\n",
+    "    elif label == '0':\n",
+    "        ax.text(xtick,\n",
+    "                ytick,\n",
+    "                label,\n",
+    "                fontsize=12,\n",
+    "                horizontalalignment='center',\n",
+    "                verticalalignment='bottom',\n",
+    "                transform=ccrs.Geodetic())\n",
+    "    else:\n",
+    "        ax.text(xtick,\n",
+    "                ytick,\n",
+    "                label,\n",
+    "                fontsize=12,\n",
+    "                horizontalalignment='center',\n",
+    "                verticalalignment='center',\n",
+    "                transform=ccrs.Geodetic())\n",
+    "\n",
+    "# Create a color list for each of the 19 contours\n",
+    "n = 19\n",
+    "cmap = plt.get_cmap('winter_r', n) # the `, n` makes the colormap display discretized\n",
+    "bounds = np.linspace(0, 1, n)\n",
+    "\n",
+    "# Iterate through the timesteps\n",
+    "for x in range(n):\n",
+    "\n",
+    "    # Get a slice of data at the 12*x timestep\n",
+    "    p = ds.HGT.isel(time=12*x)\n",
+    "\n",
+    "    # Handle wrapping artifacts\n",
+    "    slon = gv.xr_add_cyclic_longitudes(p, \"lon\")\n",
+    "\n",
+    "    # Plot contour data at pressure level 5500 for the 12*x timestep\n",
+    "    p = slon.plot.contour(ax=ax,\n",
+    "                          transform=ccrs.PlateCarree(),\n",
+    "                          linewidths=0.5,\n",
+    "                          levels=[5500],\n",
+    "                          colors=[cmap(bounds)[x]], # set colors to use our new cmap\n",
+    "                          add_labels=False)\n",
+    "\n",
+    "# Add a colorbar\n",
+    "# The default time unit is in months since 1958, years is more intuitive\n",
+    "year_0 = 1958\n",
+    "year_n = (ds.time.isel(time=12*n) / 12).astype(int) + year_0\n",
+    "\n",
+    "norm = plt.Normalize(vmin=year_0, vmax=year_n)\n",
+    "cbar = plt.colorbar(plt.cm.ScalarMappable(cmap=cmap, norm=norm),\n",
+    "    ax=ax,\n",
+    "    orientation='vertical',\n",
+    "    shrink=0.8, # Shrink to the approximate size of the map\n",
+    "    pad = 0.1) # Pad so colorbar doesn't overlap with directional label\n",
+    "\n",
+    "cbar.set_ticks(np.arange(year_0+0.5, year_n)) # Set tick locations to be at color midpoints\n",
+    "cbar.set_ticklabels(np.arange(year_0, year_n)) # Set tick labels to be years (despite their location value being year + 0.5)\n",
+    "cbar.set_label('Time (years)')\n",
+    "\n",
+    "# Use geocat.viz.util convenience function to add titles\n",
+    "gv.set_titles_and_labels(ax,\n",
+    "                         maintitle=r\"$\\bf{Spaghetti}$\" + \" \" + r\"$\\bf{Plot}$\",\n",
+    "                         lefttitle=slon.long_name,\n",
+    "                         righttitle='5500 '+slon.units)\n",
+    "\n",
+    "# Make tight layout\n",
+    "plt.tight_layout();"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Contour Spaghetti Plot with Hand-Picked Colors\n",
+    "\n",
+    "If you want your plot to be visually appealing it might be worth selecting different colors for each contour plot in the for-loop, however these do not have to be sequentially ordered or time-aware. It is actually simplest to hand-pick colors for each loop. In this iteration of the plot we hand pick colors in a `colorlist` and plot the first time step on its own to demonstrate plotting one loop unlike the others."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Generate a figure\n",
+    "fig = plt.figure(figsize=(8, 8))\n",
+    "\n",
+    "# Create an axis with a polar stereographic projection\n",
+    "ax = plt.axes(projection=ccrs.NorthPolarStereo())\n",
+    "\n",
+    "# Add land feature to map\n",
+    "ax.add_feature(cfeature.LAND, facecolor='lightgray')\n",
+    "\n",
+    "# Set map boundary to include latitudes between 0 and 40 and longitudes\n",
+    "# between -180 and 180 only\n",
+    "gv.set_map_boundary(ax, [-180, 180], [0, 40], south_pad=1)\n",
+    "\n",
+    "# Set draw_labels to False so that you can manually manipulate it later\n",
+    "gl = ax.gridlines(ccrs.PlateCarree(),\n",
+    "                  draw_labels=False,\n",
+    "                  linestyle=\"--\",\n",
+    "                  linewidth=1,\n",
+    "                  color='darkgray',\n",
+    "                  zorder=2)\n",
+    "\n",
+    "# Manipulate latitude and longitude gridline numbers and spacing\n",
+    "gl.ylocator = mticker.FixedLocator(np.arange(0, 90, 15))\n",
+    "gl.xlocator = mticker.FixedLocator(np.arange(-180, 180, 30))\n",
+    "\n",
+    "# Manipulate longitude labels (0, 30 E, 60 E, ..., 30 W, etc.)\n",
+    "ticks = np.arange(0, 210, 30)\n",
+    "etick = ['0'] + [\n",
+    "    r'%dE' % tick for tick in ticks if (tick != 0) & (tick != 180)\n",
+    "] + ['180']\n",
+    "wtick = [r'%dW' % tick for tick in ticks if (tick != 0) & (tick != 180)]\n",
+    "labels = etick + wtick\n",
+    "xticks = np.arange(0, 360, 30)\n",
+    "yticks = np.full_like(xticks, -5)  # Latitude where the labels will be drawn\n",
+    "for xtick, ytick, label in zip(xticks, yticks, labels):\n",
+    "    if label == '180':\n",
+    "        ax.text(xtick,\n",
+    "                ytick,\n",
+    "                label,\n",
+    "                fontsize=12,\n",
+    "                horizontalalignment='center',\n",
+    "                verticalalignment='top',\n",
+    "                transform=ccrs.Geodetic())\n",
+    "    elif label == '0':\n",
+    "        ax.text(xtick,\n",
+    "                ytick,\n",
+    "                label,\n",
+    "                fontsize=12,\n",
+    "                horizontalalignment='center',\n",
+    "                verticalalignment='bottom',\n",
+    "                transform=ccrs.Geodetic())\n",
+    "    else:\n",
+    "        ax.text(xtick,\n",
+    "                ytick,\n",
+    "                label,\n",
+    "                fontsize=12,\n",
+    "                horizontalalignment='center',\n",
+    "                verticalalignment='center',\n",
+    "                transform=ccrs.Geodetic())\n",
+    "\n",
+    "# Get slice of data at the 0th timestep - plot this contour line separately\n",
+    "# because it will be thicker than the other contour lines\n",
+    "p = ds.HGT.isel(time=0)\n",
+    "\n",
+    "# Use geocat-viz utility function to handle the no-shown-data\n",
+    "# artifact of 0 and 360-degree longitudes\n",
+    "slon = gv.xr_add_cyclic_longitudes(p, \"lon\")\n",
+    "\n",
+    "# Plot contour data at pressure level 5500 at the first timestep\n",
+    "p = slon.plot.contour(ax=ax,\n",
+    "                      transform=ccrs.PlateCarree(),\n",
+    "                      linewidths=1.5,\n",
+    "                      levels=[5500],\n",
+    "                      colors='black',\n",
+    "                      add_labels=False)\n",
+    "\n",
+    "# Create a color list for each of the next 18 contours\n",
+    "colorlist = [\n",
+    "    \"crimson\", \"green\", \"blue\", \"yellow\", \"cyan\", \"hotpink\", \"crimson\",\n",
+    "    \"skyblue\", \"navy\", \"lightyellow\", \"mediumorchid\", \"orange\", \"slateblue\",\n",
+    "    \"palegreen\", \"magenta\", \"springgreen\", \"pink\", \"forestgreen\", \"violet\"\n",
+    "]\n",
+    "\n",
+    "# Iterate through 18 different timesteps\n",
+    "for x in range(18):\n",
+    "\n",
+    "    # Get a slice of data at the 12*x+1 timestep\n",
+    "    p = ds.HGT.isel(time=12 * x + 1)\n",
+    "\n",
+    "    # Use geocat-viz utility function to handle the no-shown-data artifact\n",
+    "    # of 0 and 360-degree longitudes\n",
+    "    slon = gv.xr_add_cyclic_longitudes(p, \"lon\")\n",
+    "\n",
+    "    # Plot contour data at pressure level 5500 for the 12*x+1 timestep\n",
+    "    p = slon.plot.contour(ax=ax,\n",
+    "                          transform=ccrs.PlateCarree(),\n",
+    "                          linewidths=0.5,\n",
+    "                          levels=[5500],\n",
+    "                          colors=colorlist[x],\n",
+    "                          add_labels=False)\n",
+    "\n",
+    "# Use geocat.viz.util convenience function to add titles\n",
+    "gv.set_titles_and_labels(ax,\n",
+    "                         maintitle=r\"$\\bf{Spaghetti}$\" + \" \" + r\"$\\bf{Plot}$\",\n",
+    "                         lefttitle=slon.long_name,\n",
+    "                         righttitle='5500 '+slon.units)\n",
+    "\n",
+    "# Make tight layout\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Summary\n",
+    "\n",
+    "Spaghetti Plots are many lines drawn on the same figure. They have pros and cons. They are visually stunning but can be confusing, so it is important to make sure your data visualization conveys accurate information either by manipulating color or linewidth. Since the manipulation of spaghetti plots have their own considerations, this chapter shows several design choices that you can use to jumpstart your visualization needs.\n",
+    "\n",
+    "\n",
+    "### What's next?\n",
+    "\n",
+    "Next up let's discuss [Animation](7-animation)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Resources and references\n",
+    "\n",
+    "- [Tropycal documentation](https://tropycal.github.io/tropycal/)\n",
+    "- [GeoCat-examples Visualization Gallery](https://geocat-examples.readthedocs.io/en/latest/)\n",
+    "- [GeoCAT-Viz documentation](https://geocat-viz.readthedocs.io/en/latest/)\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "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": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/_preview/40/_sources/notebooks/7-animation.ipynb b/_preview/40/_sources/notebooks/7-animation.ipynb
new file mode 100644
index 0000000..24585bd
--- /dev/null
+++ b/_preview/40/_sources/notebooks/7-animation.ipynb
@@ -0,0 +1,514 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Animation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Overview\n",
+    "\n",
+    "Animations can be a useful and effective tool to visualize data, especially when that data changes over time. In this notebook, we will explore how to create animations using the `matplotlib` library. \n",
+    "\n",
+    "We will cover the two methods for creating animations in `matplotlib`, how to set up the elements of both types of animation, how to show the animation in jupyter notebooks, and how to save the animation to a file.\n",
+    "\n",
+    "1. Animation fundamentals with `matplotlib`\n",
+    "2. Artist Animation\n",
+    "3. Function Animation\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Prerequisites\n",
+    "\n",
+    "| Concepts | Importance | Notes |\n",
+    "| --- | --- | --- |\n",
+    "| [Matplotlib](https://foundations.projectpythia.org/core/matplotlib.html) | Necessary | |\n",
+    "| [Cartopy](https://foundations.projectpythia.org/core/cartopy.html) | Useful | Not necessary for animations in general, but useful for the examples in this notebook |\n",
+    "\n",
+    "- **Time to learn**: 10 minutes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import cartopy.crs as ccrs\n",
+    "import matplotlib.animation as animation\n",
+    "import xarray as xr\n",
+    "from matplotlib import pyplot as plt\n",
+    "import os\n",
+    "from PIL import Image\n",
+    "\n",
+    "import geocat.datafiles as gdf"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Animation fundamentals with `matplotlib`\n",
+    "\n",
+    "There are two different methods of creating animations with `matplotlib`:\n",
+    "1. Artist animations pulls from a list of pre-made [artists](https://matplotlib.org/stable/api/artist_api.html#matplotlib.artist.Artist) to draw in each frame to produce an animation\n",
+    "2. Function animation iteratively modifies data on a pre-existing figure to produce an animation\n",
+    "\n",
+    "Generally, function animation is easier to use, but artist animation can be more flexible for certain applications. We'll cover both methods in this notebook."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Animating within jupyter notebooks\n",
+    "Before we get into either type of animation, we're going to alter [`matplotlib`'s runtime configuration settings](https://matplotlib.org/stable/users/explain/customizing.html) (or `rcParams`) to allow us to use `matplotlib`'s animation functions within jupyter notebooks. This next cell is not necessary if you want to create animations in a script or just want to save the animation to a file.\n",
+    "\n",
+    "Here, we're changing default animation html output setting to `\"jshtml\"`, which creates a JavaScript animation that can be displayed in a jupyter notebook. The default setting is `\"none\"`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.rcParams[\"animation.html\"] = \"jshtml\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Artist Animation\n",
+    "Artist animation uses pre-made artists to cycle through to produce an animation.\n",
+    "\n",
+    "In this example, we're going to plot images using `matplotlib`'s [`imshow`](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.imshow.html) function and save the resulting artist object to a list. Then, we'll use the [`ArtistAnimation`](https://matplotlib.org/stable/api/_as_gen/matplotlib.animation.ArtistAnimation.html) function to create an animation from that list of artists.\n",
+    "\n",
+    "### Data\n",
+    "Before we get into those steps, let's get some images to animate. First, we'll be looking at some [GeoColor](https://www.star.nesdis.noaa.gov/GOES/documents/QuickGuide_CIRA_Geocolor_20171019.pdf) satellite imagery from [GOES-16](https://eospso.nasa.gov/missions/geostationary-operational-environmental-satellite-16).\n",
+    "\n",
+    "In this repository, there is a script, `notebooks/scripts/goes_getter.py`, that will download hourly images from the last 24 hours from the [GOES-16 archive](https://cdn.star.nesdis.noaa.gov/GOES16/ABI/FD/GEOCOLOR/) if you'd like to play around with this yourself. We have already downloaded some images for this example in the `notebooks/data/goes16_hr/` directory and will be using those for this part of the notebook."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "### Get the images into a list\n",
+    "First, we need to ge the images from the directory into a list. We know the only files in this directory are the images we want to plot, so let's get get a list of all the files ending in `.jpg` from that path using `os.listdir()`.\n",
+    "\n",
+    "We'll also sort them using the built in `sorted` function to make sure that our list of images ends up in chronological order."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "im_dir = \"./data/goes16_hr/\"\n",
+    "im_paths = sorted([p for p in os.listdir(im_dir) if p.endswith(\".jpg\")])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Creating the figure\n",
+    "Now, we need to set up the figure we'll be plotting our animation on.\n",
+    "\n",
+    ":::{note}\n",
+    "Running the next cell will produce a blank figure in the jupyter notebook. This is expected since we've only created a blank figure to plot on, but haven't actually plotted anything yet.\n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dpi = 100\n",
+    "figsize = tuple(t / dpi for t in Image.open(im_dir + im_paths[0]).size)\n",
+    "fig = plt.figure(figsize=figsize, dpi=dpi)\n",
+    "ax = fig.add_axes([0, 0, 1, 1])  # span the whole figure\n",
+    "ax.set_axis_off()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "First, we set out dpi to be 100. This is technically not necessary at this point in creating the animation, but we're going to use it to set the size of the figure. Since we're plotting images, we want to make sure that the figure size is the same size as the images we're plotting.\n",
+    "\n",
+    "Next, we're going to figure out what our figsize should be based on the dpi and the size of the images we're about to plot. `tuple(t / dpi for t in Image.open(im_dir + im_paths[0]).size)` divides each dimension of the size of the image by the intended dpi and then returns the result as a tuple. We then use that tuple to create our figsize.\n",
+    "\n",
+    "Next, we create the figure using `plt.figure()` and the `figsize` and `dpi` we just calculated.\n",
+    "\n",
+    "Then, we create the axes object using `fig.add_axes([0, 0, 1, 1])`. This adds axes to our figure that span the entire range of the figure, allowing the images plot on these axes to take up the entire figure space.\n",
+    "\n",
+    "Finally, we turn off the axes using `ax.axis(\"off\")`. This is because we don't want to see axes on our final image plot.\n",
+    "\n",
+    ":::{tip}\n",
+    "Customizing the figure size, dpi, and axes is not necessary for creating an artist animation, but it will make our end result look nicer.\n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Creating a list of artists\n",
+    "Now that we have a list of the filepaths for all the images we want to plot and axes to plot them on, we can use `imshow` to plot each image and save the resulting artist object to a list."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ims = [[ax.imshow(Image.open(im_dir + im_path), animated=True)] for im_path in im_paths]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "A couple of things to note here:\n",
+    "- You may notice that we're using list generation to create our final list, `ims`. But what might not be obvious is that we're actually making a list of lists. Each created `implot` object is put into its own one-item list, and then all of those lists are used to create `ims`. This is because `ArtistAnimation` expects a list of lists, where each inner list is a list of artists to be plotted in a single frame.\n",
+    "- We're using a kwarg you may not have seen before using `imshow`: `animated=True`. This allows the artist to only be drawn when called as part of an animation. This is a kwarg that is common to all artist objects."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Creating the artist animation\n",
+    "Now that we've set up our figure and list (of lists) of artists, we can create the animation using `ArtistAnimation`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ani = animation.ArtistAnimation(fig, ims, interval=150, repeat_delay=1000)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "`ArtistAnimation` takes two required arguments: \n",
+    "- the figure to plot on (`fig` in our case) and \n",
+    "- the list of pre-created artist objects (`ims`) to plot. \n",
+    "\n",
+    "We've also provided a few optional arguments:\n",
+    "- `interval`: The time between frames in milliseconds. We've set this to 150 milliseconds, or 0.15 seconds.\n",
+    "- `repeat_delay`: The time in milliseconds to wait before repeating the animation. We've set this to 1000 milliseconds, or 1 second."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "And that's it! We've created an animation in `matplotlib` using artist animation. Let's take a look at it."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ani"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Saving the animation\n",
+    "If displaying your animation in a jupyter notebook was your end goal, then you're done! But if you want to save your animation to a file for later use, you can use the `save` method of the `ArtistAnimation` object."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ani.save(\"goes16_hr.gif\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Function animation\n",
+    "\n",
+    "The steps for function animation in `matplotlib` are:\n",
+    "1. Set up all the artists that will be used in the animation and the initial frame of the animation\n",
+    "2. Create a function that updates the data in the plot to create each frame of the animation\n",
+    "3. Create a `FuncAnimation` object with the the previously created elements\n",
+    "4. Display and save the animation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Data\n",
+    "For this example, we're going to be looking at sample surface temperature data from our sample data repository, [geocat-datafiles](https://github.com/NCAR/geocat-datafiles)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds = xr.open_dataset(gdf.get(\"netcdf_files/meccatemp.cdf\"))\n",
+    "t = ds.t"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Creating the figure\n",
+    "The first step in creating a function animation is to create the figure that will be used to plot the animation.\n",
+    "\n",
+    "Since we're working with data represented by latitude and longitude coordinates, we're going to set up our figure and axes using [`cartopy`](https://scitools.org.uk/cartopy/docs/latest/)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set up Axes with Cartopy Projection\n",
+    "fig = plt.figure()\n",
+    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
+    "ax.coastlines()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Just like before, we used `plt.figure()` to create the figure. Then, we used `plt.axes` with the `projection` kwarg set to `ccrs.PlateCarree()` to create the axes object. This sets up the axes to use the [Plate Carree](https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree) projection.\n",
+    "\n",
+    "Finally, we used `ax.coastlines()` to add coastlines to the plot."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Creating the initial frame\n",
+    "Now that we have our figure and axes set up, we can plot the initial frame of our animation."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vmin = t.min()\n",
+    "vmax = t.max()\n",
+    "levels = 30\n",
+    "\n",
+    "# create initial plot that we will update\n",
+    "t[0, :, :].plot.contourf(\n",
+    "    ax=ax,\n",
+    "    transform=ccrs.PlateCarree(),\n",
+    "    vmin=vmin,\n",
+    "    vmax=vmax,\n",
+    "    levels=levels,\n",
+    "    cmap=\"inferno\",\n",
+    "    cbar_kwargs={\n",
+    "        \"location\": \"bottom\",\n",
+    "    },\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In addition to plotting the initial frame, we also set up the colorbar. In order for every frame of the animation to use the same colorbar, we need to create the colorbar before we create the animation.\n",
+    "\n",
+    "The `vmin` and `vmax` arguments of `plt.contourf` are set to the minimum and maximum values of the data, instead of each individual time slice. This ensures that the colorbar remains consistent across all frames of the animation. We also set a `levels` kwarg to similarly ensure that the contour levels are consistent, as well."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Creating the update function\n",
+    "Now that we have our initial frame, we need to create an update function that will update the data in the plot to create each frame of the animation. This function will be passed in as an argument to `FuncAnimation`, which expects a function that takes in a single argument, `i`, which is the frame number of the animation. The argument `i` is used to index into the data to get the data for the current frame to plot."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# create function to update plot\n",
+    "def animate(i):\n",
+    "    # Plot the new frame\n",
+    "    t[i, :, :].plot.contourf(\n",
+    "        ax=ax,\n",
+    "        transform=ccrs.PlateCarree(),\n",
+    "        vmin=vmin,\n",
+    "        vmax=vmax,\n",
+    "        levels=levels,\n",
+    "        cmap=\"inferno\",\n",
+    "        add_colorbar=False,\n",
+    "    )\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note here that that the only differences from our initial frame set up are the indexing on the data to plot and the `add_colorbar = False` kwarg in `plt.contourf`. This is because we've already created a colorbar in the initial frame that we want to use for all frames of the animation.\n",
+    "\n",
+    ":::{warning}\n",
+    "You can accidentally create some funny looking animations if you forget the `add_colorbar = False` kwarg in the update function.\n",
+    "\n",
+    "<img src=\"./images/animation_colorbar_oops.gif\" width=\"300\" align=\"center\">\n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Creating the animation\n",
+    "Now it's time to create the animation using `FuncAnimation`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ani = animation.FuncAnimation(fig, animate, frames=len(t), interval=150, repeat_delay=1000)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This function looks similar to `ArtistAnimation`, but with one main difference: instead of a list of artists to plot, `FuncAnimation` takes the update function we created as the second argument. Also, we've provided the `frames` kwarg, which is the number of times the update function will be called. We've set it to the number of time slices in the data to make sure the FuncAnimation object does not try to go outside the bounds of the data.\n",
+    "\n",
+    "And that's it! We've created a function animation in `matplotlib`. Let's take a look at it.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ani"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Saving the animation\n",
+    "Just like with `ArtistAnimation`, we can save the animation using the `save` method of the `FuncAnimation` object."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ani.save(\"temp.gif\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Summary\n",
+    "\n",
+    "Creating animations in `matplotlib` might seem intimidating, but is easier when you know the options and purpose of each method. These visualizations can be a powerful tool to display and understand time-dependent data.\n",
+    "\n",
+    "### What's next?\n",
+    "\n",
+    "In the final section of this cookbook, let’s look at [interactive plotting with Holoviz](8-interactive-holoviz-mpas) tools."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Resources and references\n",
+    "\n",
+    "- [`matplotlib` animation documentation](https://matplotlib.org/stable/api/animation_api.html)\n",
+    "- [`FuncAnimation` documentation](https://matplotlib.org/stable/api/_as_gen/matplotlib.animation.FuncAnimation.html)\n",
+    "- [`ArtistAnimation` documentation](https://matplotlib.org/stable/api/_as_gen/matplotlib.animation.ArtistAnimation.html)\n",
+    "- [`imshow` documentation](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.imshow.html)\n",
+    "- [GeoColor](https://www.star.nesdis.noaa.gov/GOES/documents/QuickGuide_CIRA_Geocolor_20171019.pdf) fact sheet\n",
+    "- [GOES-16](https://eospso.nasa.gov/missions/geostationary-operational-environmental-satellite-16) mission page\n",
+    "- [GOES Image Viewer](https://www.star.nesdis.noaa.gov/GOES/index.php)"
+   ]
+  }
+ ],
+ "metadata": {
+  "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": "3.11.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/_preview/40/_sources/notebooks/8-interactive-holoviz-mpas.ipynb b/_preview/40/_sources/notebooks/8-interactive-holoviz-mpas.ipynb
new file mode 100644
index 0000000..7459536
--- /dev/null
+++ b/_preview/40/_sources/notebooks/8-interactive-holoviz-mpas.ipynb
@@ -0,0 +1,737 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "# HoloViz Visualization"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Overview\n",
+    "\n",
+    "The ability to dynamically render, pan, zoom, animate and perform other dynamic operations on data can provide many benefits, such as providing greater data fidelity within the same plot. [HoloViz](https://holoviz.org/) provides high-level tools (such as Holoviews, Datashader, Geoviews, etc.) to visualize even the very large datasets efficiently.\n",
+    "\n",
+    "This notebook explores interactively plotting using an unstructured grid dataset in the [MPAS](https://mpas-dev.github.io/) format with Holoviews, Datashader, and Geoviews."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    ":::{attention}\n",
+    "If you are in this notebook to actually learn about and/or visualize unstructured grids, we highly recommend checking out the [UXarray Cookbook](https://projectpythia.org/unstructured-grid-viz-cookbook/README.html) that is a comprehensive showcase of workflows & techniques for visualizing Unstructured Grids using [UXarray](https://uxarray.readthedocs.io/). UXarray is a Python package that:\n",
+    "- Provides Xarray-styled functionality for working with unstructured grids built around the UGRID conventions\n",
+    "- Supports not only MPAS but also several other formats such as UGRID, SCRIP, and Exodus\n",
+    "- Enables significant data analysis and visualization functionality for unstructured grid research, which makes working with unstructured grids a breeze\n",
+    "  - e.g. UXarray internally handles majority of the utility functions and data preparation steps mentioned throughout this notebook and provides user with convenient visualization and analysis functions\n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This notebook demonstrates:\n",
+    "1. Use of HoloViz tools for interactive plotting\n",
+    "2. Different interactivity schemes\n",
+    "3. Use of the MPAS format's connectivity information to render data on the native grid (hence avoiding costly Delaunay triangulation)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The flow of the content is as follows:\n",
+    "\n",
+    "1. Package imports\n",
+    "2. MPAS preprocessing for visualization\n",
+    "   - Utility functions\n",
+    "   - Data loading\n",
+    "   - Triangular mesh generation using MPAS's cell connectivity array from the primal mesh\n",
+    "3. Interactive Holoviz Plots"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Prerequisites\n",
+    "\n",
+    "| Concepts | Importance | Notes |\n",
+    "| --- | --- | --- |\n",
+    "| [Holoviews](https://holoviews.org/) | Necessary | |\n",
+    "| [Geoviews](https://geoviews.org/) | Useful | Not necessary for plotting but useful for adding features |\n",
+    "| [Matplotlib](https://matplotlib.org/) | Useful | |\n",
+    "| [MPAS](https://mpas-dev.github.io/) | Useful | Not necessary for interactive plotting but useful for understanding the data used |\n",
+    "| [Xarray](https://xarray.pydata.org/) | Useful | |\n",
+    "\n",
+    "- **Time to learn**: 60 minutes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import math as math\n",
+    "\n",
+    "import cartopy.crs as ccrs\n",
+    "import dask.dataframe as dd\n",
+    "import geocat.datafiles as gdf  # Only for reading-in datasets\n",
+    "import geoviews.feature as gf  # Only for displaying coastlines\n",
+    "import holoviews as hv\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "from holoviews import opts\n",
+    "from holoviews.operation.datashader import rasterize as hds_rasterize\n",
+    "from numba import jit\n",
+    "from xarray import open_mfdataset\n",
+    "\n",
+    "n_workers = 1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## MPAS Preprocessing"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The MPAS data requires some preprocessing to get it ready for visualization such as implementation \n",
+    "of a few utility functions, loading the data, and creating triangular mesh out of the data to rasterize."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Utility functions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "def unzipMesh(x, tris, t):\n",
+    "    \"\"\"Splits a global mesh along longitude.\n",
+    "\n",
+    "    Examine the X coordinates of each triangle in 'tris'. Return an array of 'tris' where\n",
+    "    only those triangles with legs whose length is less than 't' are returned.\n",
+    "\n",
+    "    Parameters\n",
+    "    ----------\n",
+    "    x: numpy.ndarray\n",
+    "        x-coordinates of each triangle in 'tris'\n",
+    "    tris: numpy.ndarray\n",
+    "        Triangle indices for each vertex in the MPAS file, in counter-clockwise order\n",
+    "    t: float\n",
+    "        Threshold value\n",
+    "    \"\"\"\n",
+    "    return tris[\n",
+    "        (np.abs((x[tris[:, 0]]) - (x[tris[:, 1]])) < t)\n",
+    "        & (np.abs((x[tris[:, 0]]) - (x[tris[:, 2]])) < t)\n",
+    "    ]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "def triArea(x, y, tris):\n",
+    "    \"\"\"Computes the signed area of a triangle.\n",
+    "\n",
+    "    Parameters\n",
+    "    ----------\n",
+    "    x: numpy.ndarray\n",
+    "        x-coordinates of each triangle in 'tris'\n",
+    "    y: numpy.ndarray\n",
+    "        y-coordinates of each triangle in 'tris'\n",
+    "    tris: numpy.ndarray\n",
+    "        Triangle indices for each vertex in the MPAS file\n",
+    "    \"\"\"\n",
+    "    return ((x[tris[:, 1]] - x[tris[:, 0]]) * (y[tris[:, 2]] - y[tris[:, 0]])) - (\n",
+    "        (x[tris[:, 2]] - x[tris[:, 0]]) * (y[tris[:, 1]] - y[tris[:, 0]])\n",
+    "    )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "def orderCCW(x, y, tris):\n",
+    "    \"\"\"Reorder triangles as necessary so they all have counter clockwise winding order.\n",
+    "    CCW is what Datashader and MPL require.\n",
+    "\n",
+    "    Parameters\n",
+    "    ----------\n",
+    "    x: numpy.ndarray\n",
+    "        x-coordinates of each triangle in 'tris'\n",
+    "    y: numpy.ndarray\n",
+    "        y-coordinates of each triangle in 'tris'\n",
+    "    tris: numpy.ndarray\n",
+    "        Triangle indices for each vertex in the MPAS file\n",
+    "    \"\"\"\n",
+    "    tris[triArea(x, y, tris) < 0.0, :] = tris[triArea(x, y, tris) < 0.0, ::-1]\n",
+    "    return tris"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "def createHVTriMesh(x, y, triangle_indices, var, n_workers=1):\n",
+    "    \"\"\"Create a Holoviews Triangle Mesh suitable for rendering with Datashader\n",
+    "\n",
+    "    This function returns a Holoviews TriMesh that is created from a list of coordinates, 'x'\n",
+    "    and 'y', an array of triangle indices that addresses the coordinates in 'x' and 'y', and\n",
+    "    a data variable 'var'. The data variable's values will annotate the triangle vertices\n",
+    "\n",
+    "    Parameters\n",
+    "    ----------\n",
+    "    x: numpy.ndarray\n",
+    "        Projected x-coordinates of each triangle in 'tris'\n",
+    "    y: numpy.ndarray\n",
+    "        Projected y-coordinates of each triangle in 'tris'\n",
+    "    triangle_indices: numpy.ndarray\n",
+    "        Triangle indices for each vertex in the MPAS file, in counter-clockwise order\n",
+    "    var: numpy.ndarray\n",
+    "        Data variable from which the triangle vertex values are read.\n",
+    "    n_workers: int\n",
+    "        Number of workers, for Dask\n",
+    "    \"\"\"\n",
+    "    # Declare verts array\n",
+    "    verts = np.column_stack([x, y, var])\n",
+    "\n",
+    "    # Convert to pandas\n",
+    "    verts_df = pd.DataFrame(verts, columns=[\"x\", \"y\", \"z\"])\n",
+    "    tris_df = pd.DataFrame(triangle_indices, columns=[\"v0\", \"v1\", \"v2\"])\n",
+    "\n",
+    "    # Convert to dask\n",
+    "    verts_ddf = dd.from_pandas(verts_df, npartitions=n_workers)\n",
+    "    tris_ddf = dd.from_pandas(tris_df, npartitions=n_workers)\n",
+    "\n",
+    "    # Declare HoloViews element\n",
+    "    tri_nodes = hv.Nodes(verts_ddf, [\"x\", \"y\", \"index\"], [\"z\"])\n",
+    "    trimesh = hv.TriMesh((tris_ddf, tri_nodes))\n",
+    "    return trimesh"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "@jit(nopython=True)\n",
+    "def triangulatePoly(verticesOnCell, nEdgesOnCell):\n",
+    "    \"\"\"Triangulate MPAS dual mesh:\n",
+    "\n",
+    "    Triangulate each polygon in a heterogenous mesh of n-gons by connecting\n",
+    "    each internal polygon vertex to the first vertex. Uses the MPAS\n",
+    "    auxilliary variables verticesOnCell, and nEdgesOnCell.\n",
+    "\n",
+    "    The function is decorated with Numba's just-in-time compiler so that it is translated into\n",
+    "    optimized machine code for better peformance\n",
+    "\n",
+    "    Parameters\n",
+    "    ----------\n",
+    "    verticesOnCell: numpy.ndarray\n",
+    "        Connectivity array that stores the vertex indices that surround a given cell\n",
+    "    nEdgesOnCell: numpy.ndarray\n",
+    "        Number of edges on a given cell.\n",
+    "    \"\"\"\n",
+    "\n",
+    "    # Calculate the number of triangles. nEdgesOnCell gives the number of vertices for each cell (polygon)\n",
+    "    # The number of triangles per polygon is the number of vertices minus 2.\n",
+    "    nTriangles = np.sum(nEdgesOnCell - 2)\n",
+    "\n",
+    "    triangles = np.ones((nTriangles, 3), dtype=np.int64)\n",
+    "    nCells = verticesOnCell.shape[0]\n",
+    "    triIndex = 0\n",
+    "    for j in range(nCells):\n",
+    "        for i in range(nEdgesOnCell[j] - 2):\n",
+    "            triangles[triIndex][0] = verticesOnCell[j][0]\n",
+    "            triangles[triIndex][1] = verticesOnCell[j][i + 1]\n",
+    "            triangles[triIndex][2] = verticesOnCell[j][i + 2]\n",
+    "            triIndex += 1\n",
+    "\n",
+    "    return triangles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Load data and coordinates"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    ":::{info}\n",
+    "The \"dyamond_1\" global datasets used in this example are courtesy of NCAR's Falko Judt and were produced as part of the \n",
+    "[DYAMOND](http://dx.doi.org/10.1186/s40645-019-0304-z) initiative. They are all from the same experiment but run at several \n",
+    "resolutions from 30km to 3.75km.\n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Currently, the 30-km resolution dataset is used in this example and is available at [geocat-datafiles](https://github.com/NCAR/geocat-datafiles).\n",
+    "However, the other resolutions of these data are stored on NCAR's Glade data storage because of their size. Due to their size, \n",
+    "the higher resolution data sets are only distributed with two variables in them:\n",
+    "\n",
+    "+ relhum_200hPa: Relative humidity vertically interpolated to 200 hPa\n",
+    "+ vorticity_200hPa: Relative vorticity vertically interpolated to 200 hPa\n",
+    "\n",
+    "The \"relhum_200hPa\" variable is computed on the MPAS 'primal' mesh, while \"vorticity_200hPa\" is computed on the MPAS\n",
+    "'dual' mesh."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Load data\n",
+    "datafiles = (\n",
+    "    gdf.get(\n",
+    "        \"netcdf_files/MPAS/FalkoJudt/dyamond_1/30km/diag.2016-08-20_00.00.00_subset.nc\"\n",
+    "    ),\n",
+    "    gdf.get(\"netcdf_files/MPAS/FalkoJudt/dyamond_1/30km/x1.655362.grid_subset.nc\"),\n",
+    ")\n",
+    "\n",
+    "primalVarName = \"relhum_200hPa\"\n",
+    "dualVarName = \"vorticity_200hPa\"\n",
+    "central_longitude = 0.0\n",
+    "\n",
+    "ds = open_mfdataset(datafiles, decode_times=False)\n",
+    "primalVar = ds[primalVarName].isel(Time=0).values\n",
+    "dualVar = ds[dualVarName].isel(Time=0).values\n",
+    "\n",
+    "# Fetch lat and lon coordinates for the primal and dual mesh.\n",
+    "lonCell = ds[\"lonCell\"].values * 180.0 / math.pi\n",
+    "latCell = ds[\"latCell\"].values * 180.0 / math.pi\n",
+    "lonCell = ((lonCell - 180.0) % 360.0) - 180.0\n",
+    "\n",
+    "lonVertex = ds[\"lonVertex\"].values * 180.0 / math.pi\n",
+    "latVertex = ds[\"latVertex\"].values * 180.0 / math.pi\n",
+    "lonVertex = ((lonVertex - 180.0) % 360.0) - 180.0"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "### Generate triangular mesh using MPAS connectivity information"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "#### Primal mesh\n",
+    "\n",
+    "In this example, we use the MPAS `cellsOnVertex` auxilliary variable, which defines mesh connectivity for the MPAS grid. Specifically, this variable tells us the cell indices contained by each cell."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    ":::{important}\n",
+    "The benefits of this are twofold: \n",
+    "1. We're using the actual mesh description from the MPAS output file\n",
+    "2. For large grid this is *much* faster than synthesizing the connectivity information (e.g. by triangulating them with, for example, Delaunay triangulation).\n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "So, first let's: \n",
+    "- Get the triangle indices (i.e. MPAS connectivity),\n",
+    "- Make sure it is all in counter-clockwise order,\n",
+    "- \"Unzip\" the mesh along the longitude (for now, assuming the central longitude from the map projection is 0.0, i.e. cutting the mesh where longitude wraps around from -180.0 to 180.0)\n",
+    "- Project vertices from geographic to PCS coordinates\n",
+    "- Create Holoviews TriMesh"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    ":::{note}\n",
+    "Indexing in MPAS starts from 1, not zero :-(\n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "tris = ds.cellsOnVertex.values - 1\n",
+    "\n",
+    "tris = orderCCW(lonCell, latCell, tris)\n",
+    "\n",
+    "tris = unzipMesh(lonCell, tris, 90.0)\n",
+    "\n",
+    "projection = ccrs.Robinson(central_longitude=central_longitude)\n",
+    "xPCS, yPCS, _ = projection.transform_points(ccrs.PlateCarree(), lonCell, latCell).T\n",
+    "\n",
+    "trimesh = createHVTriMesh(xPCS, yPCS, tris, primalVar, n_workers=n_workers)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Dual mesh\n",
+    "\n",
+    "In this example though, we use the MPAS `verticesOnCell` and `nEdgesOnCell` auxilliary variables, which defines mesh connectivity for the MPAS dual grid. A lot of details in the following code is similarv to those in the primal mesh's case except `triangulatePoly()` wheere we decompose each cell into triangles since for the dual mesh, the data are located on triangle centers, which correspond to cell (polygon) vertices."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "verticesOnCell = ds.verticesOnCell.values - 1\n",
+    "nEdgesOnCell = ds.nEdgesOnCell.values\n",
+    "\n",
+    "tris_dual = triangulatePoly(verticesOnCell, nEdgesOnCell)\n",
+    "\n",
+    "tris_dual = unzipMesh(lonVertex, tris_dual, 90.0)\n",
+    "\n",
+    "projection = ccrs.Robinson(central_longitude=central_longitude)\n",
+    "xPCS_dual, yPCS_dual, _ = projection.transform_points(\n",
+    "    ccrs.PlateCarree(), lonVertex, latVertex\n",
+    ").T\n",
+    "\n",
+    "trimesh_dual = createHVTriMesh(\n",
+    "    xPCS_dual, yPCS_dual, tris_dual, dualVar, n_workers=n_workers\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Interactive HoloViz Plots"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    ":::{note} \n",
+    "Since the emphasis of these plots is the interactivity, we will not provide much detail on the features/arguments other than interactivity-related ones, but such details to some extent can still be found in the code comments.\n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "HoloViz tools provide essential interactivity features such as panning, zooming, \n",
+    "hovering, clickable/selectable legends, etc. on a plot."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    ":::{note} \n",
+    "The first step to achieve interactivity with HoloViz tools is to choose `bokeh` as \n",
+    "the backend: \n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "hv.extension(\"bokeh\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's define keyword arguments that will be commonly used for all of the plots and their `opts` throughout. For that, the plotting arguments are `aggregator=mean` to use the average of node values for shading in the rasterization and `precompute=True` to cache the data internally; the `opts` arguments are nothing more than opting in to showing the colorbar and using a colormap called \"coolwarm\":"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plot_kwargs = {\n",
+    "    \"aggregator\": \"mean\",\n",
+    "    \"precompute\": True,\n",
+    "}\n",
+    "\n",
+    "opts_kwargs = {\n",
+    "    \"colorbar\": True,\n",
+    "    \"cmap\": \"coolwarm\",\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Holoviews' options system: `opts`\n",
+    "\n",
+    "HoloViz packages provide high-level visualization functions that allow the customization of plot features through optional arguments. Furthermore, the HoloViews options system allows customizing a plot from title to size, legend, axes, and more. This system works by calling the `.opts()` method through a HoloViews plot object. We will set the `opts` defaults below and then customize plots throughout the notebook via `.opts()`. Keep an eye on them!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "opts.defaults(\n",
+    "    opts.Image(frame_width=600, data_aspect=1),\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Pan & zoom\n",
+    "\n",
+    "Bokeh-rendered HoloViz plots come with default pan and zoom (box & wheel), tools as well as save and reset options in the very right. Just look at the following plot for those features, which uses Datashader's rasterization method to visualize the data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "rasterized = hds_rasterize(trimesh, **plot_kwargs)\n",
+    "rasterized.opts(**opts_kwargs) * gf.coastline(projection=projection)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Hover\n",
+    "\n",
+    "Use `tools=['hover']` can be used to get the plot to display data values while hovering over the plot (there are other tools that can be selected, too, but those will not be covered in this notebook). See the below plot (let's use the dual mesh data this time just for the sake of assortment of visualizations) and hover you cursor over it:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "rasterized = hds_rasterize(trimesh_dual, **plot_kwargs)\n",
+    "rasterized.opts(tools=[\"hover\"], clim=(-4e-4, 4e-4), **opts_kwargs) * gf.coastline(\n",
+    "    projection=projection\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Dynamic plot"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can decide whether to return a dynamic plot that sends updates on widget and zoom/pan \n",
+    "events or whether all the data should be embedded by using the boolean `dynamic` argument. \n",
+    "The default value of this argument is `True`, so all the previously rendered plots were \n",
+    "already dynamic. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    ":::{warning}\n",
+    "If you are looking at this through the Pythia Cookbook gallery webpage (i.e. this is a rendered notebook as html), you cannot experience how the \"dynamic\" option works. To do that, you have to execute the notebook live (e.g. through the Binder link we provide for the cookbook or by executing it in your local).\n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now let's look at a non-dynamic plot (i.e. `dynamic=False`):"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rasterized = hds_rasterize(trimesh, **plot_kwargs, dynamic=False)\n",
+    "rasterized.opts(**opts_kwargs) * gf.coastline(projection=projection)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    ":::{tip}\n",
+    "This plot does not look immediately different than the prior ones where `dynamic=True`, right? Yes, in the global view, but try zooming into the plot (again, if you are executing notebook rather than looking at the rendered one), and see how dynamic vs. non-dynamic plots look like. See the below comparison for instance:\n",
+    ":::"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Non-Dynamic-Zoomed             |  Dynamic-Zoomed\n",
+    ":-------------------------:|:-------------------------:\n",
+    "![non-dynamic-zoomed](images/hv-non-dynamic-zoomed.png)  |  ![dynamic-zoomed](images/hv-dynamic-zoomed.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Further interactivity considerations\n",
+    "\n",
+    "Even though we will not cover in the scope of this cookbook, you may want to have a look at the following HoloViz resources for further interactivity in your plots:\n",
+    "\n",
+    "- [Mandelbrot](https://holoviews.org/gallery/apps/bokeh/mandelbrot.html)\n",
+    "- [Player](https://holoviews.org/reference/apps/bokeh/player.html)\n",
+    "- [HoloMap](https://holoviews.org/reference/containers/bokeh/HoloMap.html)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Summary\n",
+    "\n",
+    "HoloViz technologies can be used in order to create interactive plots when Bokeh is used as the backend. Even though a really large dataset (e.g. km-scale) is not \n",
+    "showcased in this notebook, HoloViz packages are reasonably performant with visualization of such data, too.\n",
+    "\n",
+    "### What's next?\n",
+    "\n",
+    "The end of this notebook wraps up this cookbook as well. Thanks for reading!\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Resources and references\n",
+    "\n",
+    "- [MPAS Mesh Specification](https://mpas-dev.github.io/files/documents/MPAS-MeshSpec.pdf) for those interested"
+   ]
+  }
+ ],
+ "metadata": {
+  "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": "3.11.6"
+  },
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "state": {},
+    "version_major": 2,
+    "version_minor": 0
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/_preview/40/_sources/notebooks/how-to-cite.md b/_preview/40/_sources/notebooks/how-to-cite.md
new file mode 100644
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--- /dev/null
+++ b/_preview/40/_sources/notebooks/how-to-cite.md
@@ -0,0 +1,7 @@
+# How to Cite This Cookbook
+
+The material in this Project Pythia Cookbook is licensed for free and open consumption and reuse. All code is served under [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0), while all non-code content is licensed under [Creative Commons BY 4.0 (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/). Effectively, this means you are free to share and adapt this material so long as you give appropriate credit to the Cookbook authors and the Project Pythia community.
+
+The source code for the book is [released on GitHub](https://github.com/ProjectPythia/advanced-viz-cookbook) and archived on Zenodo. This DOI will always resolve to the latest release of the book source:
+
+[![DOI](https://zenodo.org/badge/671205314.svg)](https://zenodo.org/badge/latestdoi/671205314)
diff --git a/_preview/40/_sphinx_design_static/design-style.4045f2051d55cab465a707391d5b2007.min.css b/_preview/40/_sphinx_design_static/design-style.4045f2051d55cab465a707391d5b2007.min.css
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diff --git a/_preview/40/_sphinx_design_static/design-tabs.js b/_preview/40/_sphinx_design_static/design-tabs.js
new file mode 100644
index 0000000..36b38cf
--- /dev/null
+++ b/_preview/40/_sphinx_design_static/design-tabs.js
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diff --git a/_preview/40/_static/__init__.py b/_preview/40/_static/__init__.py
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index 0000000..e69de29
diff --git a/_preview/40/_static/basic.css b/_preview/40/_static/basic.css
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--- /dev/null
+++ b/_preview/40/_static/basic.css
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+/*
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+}
+
+div.related li {
+    display: inline;
+}
+
+div.related li.right {
+    float: right;
+    margin-right: 5px;
+}
+
+/* -- sidebar --------------------------------------------------------------- */
+
+div.sphinxsidebarwrapper {
+    padding: 10px 5px 0 10px;
+}
+
+div.sphinxsidebar {
+    float: left;
+    width: 270px;
+    margin-left: -100%;
+    font-size: 90%;
+    word-wrap: break-word;
+    overflow-wrap : break-word;
+}
+
+div.sphinxsidebar ul {
+    list-style: none;
+}
+
+div.sphinxsidebar ul ul,
+div.sphinxsidebar ul.want-points {
+    margin-left: 20px;
+    list-style: square;
+}
+
+div.sphinxsidebar ul ul {
+    margin-top: 0;
+    margin-bottom: 0;
+}
+
+div.sphinxsidebar form {
+    margin-top: 10px;
+}
+
+div.sphinxsidebar input {
+    border: 1px solid #98dbcc;
+    font-family: sans-serif;
+    font-size: 1em;
+}
+
+div.sphinxsidebar #searchbox form.search {
+    overflow: hidden;
+}
+
+div.sphinxsidebar #searchbox input[type="text"] {
+    float: left;
+    width: 80%;
+    padding: 0.25em;
+    box-sizing: border-box;
+}
+
+div.sphinxsidebar #searchbox input[type="submit"] {
+    float: left;
+    width: 20%;
+    border-left: none;
+    padding: 0.25em;
+    box-sizing: border-box;
+}
+
+
+img {
+    border: 0;
+    max-width: 100%;
+}
+
+/* -- search page ----------------------------------------------------------- */
+
+ul.search {
+    margin: 10px 0 0 20px;
+    padding: 0;
+}
+
+ul.search li {
+    padding: 5px 0 5px 20px;
+    background-image: url(file.png);
+    background-repeat: no-repeat;
+    background-position: 0 7px;
+}
+
+ul.search li a {
+    font-weight: bold;
+}
+
+ul.search li p.context {
+    color: #888;
+    margin: 2px 0 0 30px;
+    text-align: left;
+}
+
+ul.keywordmatches li.goodmatch a {
+    font-weight: bold;
+}
+
+/* -- index page ------------------------------------------------------------ */
+
+table.contentstable {
+    width: 90%;
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table.contentstable p.biglink {
+    line-height: 150%;
+}
+
+a.biglink {
+    font-size: 1.3em;
+}
+
+span.linkdescr {
+    font-style: italic;
+    padding-top: 5px;
+    font-size: 90%;
+}
+
+/* -- general index --------------------------------------------------------- */
+
+table.indextable {
+    width: 100%;
+}
+
+table.indextable td {
+    text-align: left;
+    vertical-align: top;
+}
+
+table.indextable ul {
+    margin-top: 0;
+    margin-bottom: 0;
+    list-style-type: none;
+}
+
+table.indextable > tbody > tr > td > ul {
+    padding-left: 0em;
+}
+
+table.indextable tr.pcap {
+    height: 10px;
+}
+
+table.indextable tr.cap {
+    margin-top: 10px;
+    background-color: #f2f2f2;
+}
+
+img.toggler {
+    margin-right: 3px;
+    margin-top: 3px;
+    cursor: pointer;
+}
+
+div.modindex-jumpbox {
+    border-top: 1px solid #ddd;
+    border-bottom: 1px solid #ddd;
+    margin: 1em 0 1em 0;
+    padding: 0.4em;
+}
+
+div.genindex-jumpbox {
+    border-top: 1px solid #ddd;
+    border-bottom: 1px solid #ddd;
+    margin: 1em 0 1em 0;
+    padding: 0.4em;
+}
+
+/* -- domain module index --------------------------------------------------- */
+
+table.modindextable td {
+    padding: 2px;
+    border-collapse: collapse;
+}
+
+/* -- general body styles --------------------------------------------------- */
+
+div.body {
+    min-width: 450px;
+    max-width: 800px;
+}
+
+div.body p, div.body dd, div.body li, div.body blockquote {
+    -moz-hyphens: auto;
+    -ms-hyphens: auto;
+    -webkit-hyphens: auto;
+    hyphens: auto;
+}
+
+a.headerlink {
+    visibility: hidden;
+}
+
+a.brackets:before,
+span.brackets > a:before{
+    content: "[";
+}
+
+a.brackets:after,
+span.brackets > a:after {
+    content: "]";
+}
+
+h1:hover > a.headerlink,
+h2:hover > a.headerlink,
+h3:hover > a.headerlink,
+h4:hover > a.headerlink,
+h5:hover > a.headerlink,
+h6:hover > a.headerlink,
+dt:hover > a.headerlink,
+caption:hover > a.headerlink,
+p.caption:hover > a.headerlink,
+div.code-block-caption:hover > a.headerlink {
+    visibility: visible;
+}
+
+div.body p.caption {
+    text-align: inherit;
+}
+
+div.body td {
+    text-align: left;
+}
+
+.first {
+    margin-top: 0 !important;
+}
+
+p.rubric {
+    margin-top: 30px;
+    font-weight: bold;
+}
+
+img.align-left, figure.align-left, .figure.align-left, object.align-left {
+    clear: left;
+    float: left;
+    margin-right: 1em;
+}
+
+img.align-right, figure.align-right, .figure.align-right, object.align-right {
+    clear: right;
+    float: right;
+    margin-left: 1em;
+}
+
+img.align-center, figure.align-center, .figure.align-center, object.align-center {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+
+img.align-default, figure.align-default, .figure.align-default {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+
+.align-left {
+    text-align: left;
+}
+
+.align-center {
+    text-align: center;
+}
+
+.align-default {
+    text-align: center;
+}
+
+.align-right {
+    text-align: right;
+}
+
+/* -- sidebars -------------------------------------------------------------- */
+
+div.sidebar,
+aside.sidebar {
+    margin: 0 0 0.5em 1em;
+    border: 1px solid #ddb;
+    padding: 7px;
+    background-color: #ffe;
+    width: 40%;
+    float: right;
+    clear: right;
+    overflow-x: auto;
+}
+
+p.sidebar-title {
+    font-weight: bold;
+}
+
+div.admonition, div.topic, blockquote {
+    clear: left;
+}
+
+/* -- topics ---------------------------------------------------------------- */
+
+div.topic {
+    border: 1px solid #ccc;
+    padding: 7px;
+    margin: 10px 0 10px 0;
+}
+
+p.topic-title {
+    font-size: 1.1em;
+    font-weight: bold;
+    margin-top: 10px;
+}
+
+/* -- admonitions ----------------------------------------------------------- */
+
+div.admonition {
+    margin-top: 10px;
+    margin-bottom: 10px;
+    padding: 7px;
+}
+
+div.admonition dt {
+    font-weight: bold;
+}
+
+p.admonition-title {
+    margin: 0px 10px 5px 0px;
+    font-weight: bold;
+}
+
+div.body p.centered {
+    text-align: center;
+    margin-top: 25px;
+}
+
+/* -- content of sidebars/topics/admonitions -------------------------------- */
+
+div.sidebar > :last-child,
+aside.sidebar > :last-child,
+div.topic > :last-child,
+div.admonition > :last-child {
+    margin-bottom: 0;
+}
+
+div.sidebar::after,
+aside.sidebar::after,
+div.topic::after,
+div.admonition::after,
+blockquote::after {
+    display: block;
+    content: '';
+    clear: both;
+}
+
+/* -- tables ---------------------------------------------------------------- */
+
+table.docutils {
+    margin-top: 10px;
+    margin-bottom: 10px;
+    border: 0;
+    border-collapse: collapse;
+}
+
+table.align-center {
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table.align-default {
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table caption span.caption-number {
+    font-style: italic;
+}
+
+table caption span.caption-text {
+}
+
+table.docutils td, table.docutils th {
+    padding: 1px 8px 1px 5px;
+    border-top: 0;
+    border-left: 0;
+    border-right: 0;
+    border-bottom: 1px solid #aaa;
+}
+
+table.footnote td, table.footnote th {
+    border: 0 !important;
+}
+
+th {
+    text-align: left;
+    padding-right: 5px;
+}
+
+table.citation {
+    border-left: solid 1px gray;
+    margin-left: 1px;
+}
+
+table.citation td {
+    border-bottom: none;
+}
+
+th > :first-child,
+td > :first-child {
+    margin-top: 0px;
+}
+
+th > :last-child,
+td > :last-child {
+    margin-bottom: 0px;
+}
+
+/* -- figures --------------------------------------------------------------- */
+
+div.figure, figure {
+    margin: 0.5em;
+    padding: 0.5em;
+}
+
+div.figure p.caption, figcaption {
+    padding: 0.3em;
+}
+
+div.figure p.caption span.caption-number,
+figcaption span.caption-number {
+    font-style: italic;
+}
+
+div.figure p.caption span.caption-text,
+figcaption span.caption-text {
+}
+
+/* -- field list styles ----------------------------------------------------- */
+
+table.field-list td, table.field-list th {
+    border: 0 !important;
+}
+
+.field-list ul {
+    margin: 0;
+    padding-left: 1em;
+}
+
+.field-list p {
+    margin: 0;
+}
+
+.field-name {
+    -moz-hyphens: manual;
+    -ms-hyphens: manual;
+    -webkit-hyphens: manual;
+    hyphens: manual;
+}
+
+/* -- hlist styles ---------------------------------------------------------- */
+
+table.hlist {
+    margin: 1em 0;
+}
+
+table.hlist td {
+    vertical-align: top;
+}
+
+/* -- object description styles --------------------------------------------- */
+
+.sig {
+	font-family: 'Consolas', 'Menlo', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', monospace;
+}
+
+.sig-name, code.descname {
+    background-color: transparent;
+    font-weight: bold;
+}
+
+.sig-name {
+	font-size: 1.1em;
+}
+
+code.descname {
+    font-size: 1.2em;
+}
+
+.sig-prename, code.descclassname {
+    background-color: transparent;
+}
+
+.optional {
+    font-size: 1.3em;
+}
+
+.sig-paren {
+    font-size: larger;
+}
+
+.sig-param.n {
+	font-style: italic;
+}
+
+/* C++ specific styling */
+
+.sig-inline.c-texpr,
+.sig-inline.cpp-texpr {
+	font-family: unset;
+}
+
+.sig.c   .k, .sig.c   .kt,
+.sig.cpp .k, .sig.cpp .kt {
+	color: #0033B3;
+}
+
+.sig.c   .m,
+.sig.cpp .m {
+	color: #1750EB;
+}
+
+.sig.c   .s, .sig.c   .sc,
+.sig.cpp .s, .sig.cpp .sc {
+	color: #067D17;
+}
+
+
+/* -- other body styles ----------------------------------------------------- */
+
+ol.arabic {
+    list-style: decimal;
+}
+
+ol.loweralpha {
+    list-style: lower-alpha;
+}
+
+ol.upperalpha {
+    list-style: upper-alpha;
+}
+
+ol.lowerroman {
+    list-style: lower-roman;
+}
+
+ol.upperroman {
+    list-style: upper-roman;
+}
+
+:not(li) > ol > li:first-child > :first-child,
+:not(li) > ul > li:first-child > :first-child {
+    margin-top: 0px;
+}
+
+:not(li) > ol > li:last-child > :last-child,
+:not(li) > ul > li:last-child > :last-child {
+    margin-bottom: 0px;
+}
+
+ol.simple ol p,
+ol.simple ul p,
+ul.simple ol p,
+ul.simple ul p {
+    margin-top: 0;
+}
+
+ol.simple > li:not(:first-child) > p,
+ul.simple > li:not(:first-child) > p {
+    margin-top: 0;
+}
+
+ol.simple p,
+ul.simple p {
+    margin-bottom: 0;
+}
+
+dl.footnote > dt,
+dl.citation > dt {
+    float: left;
+    margin-right: 0.5em;
+}
+
+dl.footnote > dd,
+dl.citation > dd {
+    margin-bottom: 0em;
+}
+
+dl.footnote > dd:after,
+dl.citation > dd:after {
+    content: "";
+    clear: both;
+}
+
+dl.field-list {
+    display: grid;
+    grid-template-columns: fit-content(30%) auto;
+}
+
+dl.field-list > dt {
+    font-weight: bold;
+    word-break: break-word;
+    padding-left: 0.5em;
+    padding-right: 5px;
+}
+
+dl.field-list > dt:after {
+    content: ":";
+}
+
+dl.field-list > dd {
+    padding-left: 0.5em;
+    margin-top: 0em;
+    margin-left: 0em;
+    margin-bottom: 0em;
+}
+
+dl {
+    margin-bottom: 15px;
+}
+
+dd > :first-child {
+    margin-top: 0px;
+}
+
+dd ul, dd table {
+    margin-bottom: 10px;
+}
+
+dd {
+    margin-top: 3px;
+    margin-bottom: 10px;
+    margin-left: 30px;
+}
+
+dl > dd:last-child,
+dl > dd:last-child > :last-child {
+    margin-bottom: 0;
+}
+
+dt:target, span.highlighted {
+    background-color: #fbe54e;
+}
+
+rect.highlighted {
+    fill: #fbe54e;
+}
+
+dl.glossary dt {
+    font-weight: bold;
+    font-size: 1.1em;
+}
+
+.versionmodified {
+    font-style: italic;
+}
+
+.system-message {
+    background-color: #fda;
+    padding: 5px;
+    border: 3px solid red;
+}
+
+.footnote:target  {
+    background-color: #ffa;
+}
+
+.line-block {
+    display: block;
+    margin-top: 1em;
+    margin-bottom: 1em;
+}
+
+.line-block .line-block {
+    margin-top: 0;
+    margin-bottom: 0;
+    margin-left: 1.5em;
+}
+
+.guilabel, .menuselection {
+    font-family: sans-serif;
+}
+
+.accelerator {
+    text-decoration: underline;
+}
+
+.classifier {
+    font-style: oblique;
+}
+
+.classifier:before {
+    font-style: normal;
+    margin: 0 0.5em;
+    content: ":";
+    display: inline-block;
+}
+
+abbr, acronym {
+    border-bottom: dotted 1px;
+    cursor: help;
+}
+
+/* -- code displays --------------------------------------------------------- */
+
+pre {
+    overflow: auto;
+    overflow-y: hidden;  /* fixes display issues on Chrome browsers */
+}
+
+pre, div[class*="highlight-"] {
+    clear: both;
+}
+
+span.pre {
+    -moz-hyphens: none;
+    -ms-hyphens: none;
+    -webkit-hyphens: none;
+    hyphens: none;
+    white-space: nowrap;
+}
+
+div[class*="highlight-"] {
+    margin: 1em 0;
+}
+
+td.linenos pre {
+    border: 0;
+    background-color: transparent;
+    color: #aaa;
+}
+
+table.highlighttable {
+    display: block;
+}
+
+table.highlighttable tbody {
+    display: block;
+}
+
+table.highlighttable tr {
+    display: flex;
+}
+
+table.highlighttable td {
+    margin: 0;
+    padding: 0;
+}
+
+table.highlighttable td.linenos {
+    padding-right: 0.5em;
+}
+
+table.highlighttable td.code {
+    flex: 1;
+    overflow: hidden;
+}
+
+.highlight .hll {
+    display: block;
+}
+
+div.highlight pre,
+table.highlighttable pre {
+    margin: 0;
+}
+
+div.code-block-caption + div {
+    margin-top: 0;
+}
+
+div.code-block-caption {
+    margin-top: 1em;
+    padding: 2px 5px;
+    font-size: small;
+}
+
+div.code-block-caption code {
+    background-color: transparent;
+}
+
+table.highlighttable td.linenos,
+span.linenos,
+div.highlight span.gp {  /* gp: Generic.Prompt */
+  user-select: none;
+  -webkit-user-select: text; /* Safari fallback only */
+  -webkit-user-select: none; /* Chrome/Safari */
+  -moz-user-select: none; /* Firefox */
+  -ms-user-select: none; /* IE10+ */
+}
+
+div.code-block-caption span.caption-number {
+    padding: 0.1em 0.3em;
+    font-style: italic;
+}
+
+div.code-block-caption span.caption-text {
+}
+
+div.literal-block-wrapper {
+    margin: 1em 0;
+}
+
+code.xref, a code {
+    background-color: transparent;
+    font-weight: bold;
+}
+
+h1 code, h2 code, h3 code, h4 code, h5 code, h6 code {
+    background-color: transparent;
+}
+
+.viewcode-link {
+    float: right;
+}
+
+.viewcode-back {
+    float: right;
+    font-family: sans-serif;
+}
+
+div.viewcode-block:target {
+    margin: -1px -10px;
+    padding: 0 10px;
+}
+
+/* -- math display ---------------------------------------------------------- */
+
+img.math {
+    vertical-align: middle;
+}
+
+div.body div.math p {
+    text-align: center;
+}
+
+span.eqno {
+    float: right;
+}
+
+span.eqno a.headerlink {
+    position: absolute;
+    z-index: 1;
+}
+
+div.math:hover a.headerlink {
+    visibility: visible;
+}
+
+/* -- printout stylesheet --------------------------------------------------- */
+
+@media print {
+    div.document,
+    div.documentwrapper,
+    div.bodywrapper {
+        margin: 0 !important;
+        width: 100%;
+    }
+
+    div.sphinxsidebar,
+    div.related,
+    div.footer,
+    #top-link {
+        display: none;
+    }
+}
\ No newline at end of file
diff --git a/_preview/40/_static/check-solid.svg b/_preview/40/_static/check-solid.svg
new file mode 100644
index 0000000..92fad4b
--- /dev/null
+++ b/_preview/40/_static/check-solid.svg
@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-check" width="44" height="44" viewBox="0 0 24 24" stroke-width="2" stroke="#22863a" fill="none" stroke-linecap="round" stroke-linejoin="round">
+  <path stroke="none" d="M0 0h24v24H0z" fill="none"/>
+  <path d="M5 12l5 5l10 -10" />
+</svg>
diff --git a/_preview/40/_static/clipboard.min.js b/_preview/40/_static/clipboard.min.js
new file mode 100644
index 0000000..54b3c46
--- /dev/null
+++ b/_preview/40/_static/clipboard.min.js
@@ -0,0 +1,7 @@
+/*!
+ * clipboard.js v2.0.8
+ * https://clipboardjs.com/
+ *
+ * Licensed MIT © Zeno Rocha
+ */
+!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.ClipboardJS=e():t.ClipboardJS=e()}(this,function(){return n={686:function(t,e,n){"use strict";n.d(e,{default:function(){return o}});var e=n(279),i=n.n(e),e=n(370),u=n.n(e),e=n(817),c=n.n(e);function a(t){try{return document.execCommand(t)}catch(t){return}}var f=function(t){t=c()(t);return a("cut"),t};var l=function(t){var e,n,o,r=1<arguments.length&&void 0!==arguments[1]?arguments[1]:{container:document.body},i="";return"string"==typeof t?(e=t,n="rtl"===document.documentElement.getAttribute("dir"),(o=document.createElement("textarea")).style.fontSize="12pt",o.style.border="0",o.style.padding="0",o.style.margin="0",o.style.position="absolute",o.style[n?"right":"left"]="-9999px",n=window.pageYOffset||document.documentElement.scrollTop,o.style.top="".concat(n,"px"),o.setAttribute("readonly",""),o.value=e,o=o,r.container.appendChild(o),i=c()(o),a("copy"),o.remove()):(i=c()(t),a("copy")),i};function r(t){return(r="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&"function"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?"symbol":typeof t})(t)}var s=function(){var t=0<arguments.length&&void 0!==arguments[0]?arguments[0]:{},e=t.action,n=void 0===e?"copy":e,o=t.container,e=t.target,t=t.text;if("copy"!==n&&"cut"!==n)throw new Error('Invalid "action" value, use either "copy" or "cut"');if(void 0!==e){if(!e||"object"!==r(e)||1!==e.nodeType)throw new Error('Invalid "target" value, use a valid Element');if("copy"===n&&e.hasAttribute("disabled"))throw new Error('Invalid "target" attribute. 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t=o?(t=m(this).constructor,Reflect.construct(e,arguments,t)):e.apply(this,arguments),e=this,!(t=t)||"object"!==d(t)&&"function"!=typeof t?function(t){if(void 0!==t)return t;throw new ReferenceError("this hasn't been initialised - super() hasn't been called")}(e):t}}function m(t){return(m=Object.setPrototypeOf?Object.getPrototypeOf:function(t){return t.__proto__||Object.getPrototypeOf(t)})(t)}function v(t,e){t="data-clipboard-".concat(t);if(e.hasAttribute(t))return e.getAttribute(t)}var o=function(){!function(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Super expression must either be null or a function");t.prototype=Object.create(e&&e.prototype,{constructor:{value:t,writable:!0,configurable:!0}}),e&&y(t,e)}(r,i());var t,e,n,o=h(r);function r(t,e){var n;return function(t){if(!(t instanceof r))throw new TypeError("Cannot call a class as a function")}(this),(n=o.call(this)).resolveOptions(e),n.listenClick(t),n}return t=r,n=[{key:"copy",value:function(t){var e=1<arguments.length&&void 0!==arguments[1]?arguments[1]:{container:document.body};return l(t,e)}},{key:"cut",value:function(t){return f(t)}},{key:"isSupported",value:function(){var t=0<arguments.length&&void 0!==arguments[0]?arguments[0]:["copy","cut"],t="string"==typeof t?[t]:t,e=!!document.queryCommandSupported;return t.forEach(function(t){e=e&&!!document.queryCommandSupported(t)}),e}}],(e=[{key:"resolveOptions",value:function(){var t=0<arguments.length&&void 0!==arguments[0]?arguments[0]:{};this.action="function"==typeof t.action?t.action:this.defaultAction,this.target="function"==typeof t.target?t.target:this.defaultTarget,this.text="function"==typeof t.text?t.text:this.defaultText,this.container="object"===d(t.container)?t.container:document.body}},{key:"listenClick",value:function(t){var e=this;this.listener=u()(t,"click",function(t){return e.onClick(t)})}},{key:"onClick",value:function(t){var e=t.delegateTarget||t.currentTarget,t=s({action:this.action(e),container:this.container,target:this.target(e),text:this.text(e)});this.emit(t?"success":"error",{action:this.action,text:t,trigger:e,clearSelection:function(){e&&e.focus(),document.activeElement.blur(),window.getSelection().removeAllRanges()}})}},{key:"defaultAction",value:function(t){return v("action",t)}},{key:"defaultTarget",value:function(t){t=v("target",t);if(t)return document.querySelector(t)}},{key:"defaultText",value:function(t){return v("text",t)}},{key:"destroy",value:function(){this.listener.destroy()}}])&&p(t.prototype,e),n&&p(t,n),r}()},828:function(t){var e;"undefined"==typeof Element||Element.prototype.matches||((e=Element.prototype).matches=e.matchesSelector||e.mozMatchesSelector||e.msMatchesSelector||e.oMatchesSelector||e.webkitMatchesSelector),t.exports=function(t,e){for(;t&&9!==t.nodeType;){if("function"==typeof t.matches&&t.matches(e))return t;t=t.parentNode}}},438:function(t,e,n){var u=n(828);function i(t,e,n,o,r){var i=function(e,n,t,o){return function(t){t.delegateTarget=u(t.target,n),t.delegateTarget&&o.call(e,t)}}.apply(this,arguments);return t.addEventListener(n,i,r),{destroy:function(){t.removeEventListener(n,i,r)}}}t.exports=function(t,e,n,o,r){return"function"==typeof t.addEventListener?i.apply(null,arguments):"function"==typeof n?i.bind(null,document).apply(null,arguments):("string"==typeof t&&(t=document.querySelectorAll(t)),Array.prototype.map.call(t,function(t){return i(t,e,n,o,r)}))}},879:function(t,n){n.node=function(t){return void 0!==t&&t instanceof HTMLElement&&1===t.nodeType},n.nodeList=function(t){var e=Object.prototype.toString.call(t);return void 0!==t&&("[object NodeList]"===e||"[object HTMLCollection]"===e)&&"length"in t&&(0===t.length||n.node(t[0]))},n.string=function(t){return"string"==typeof t||t instanceof String},n.fn=function(t){return"[object Function]"===Object.prototype.toString.call(t)}},370:function(t,e,n){var f=n(879),l=n(438);t.exports=function(t,e,n){if(!t&&!e&&!n)throw new Error("Missing required arguments");if(!f.string(e))throw new TypeError("Second argument must be a String");if(!f.fn(n))throw new TypeError("Third argument must be a Function");if(f.node(t))return c=e,a=n,(u=t).addEventListener(c,a),{destroy:function(){u.removeEventListener(c,a)}};if(f.nodeList(t))return o=t,r=e,i=n,Array.prototype.forEach.call(o,function(t){t.addEventListener(r,i)}),{destroy:function(){Array.prototype.forEach.call(o,function(t){t.removeEventListener(r,i)})}};if(f.string(t))return t=t,e=e,n=n,l(document.body,t,e,n);throw new TypeError("First argument must be a String, HTMLElement, HTMLCollection, or NodeList");var o,r,i,u,c,a}},817:function(t){t.exports=function(t){var e,n="SELECT"===t.nodeName?(t.focus(),t.value):"INPUT"===t.nodeName||"TEXTAREA"===t.nodeName?((e=t.hasAttribute("readonly"))||t.setAttribute("readonly",""),t.select(),t.setSelectionRange(0,t.value.length),e||t.removeAttribute("readonly"),t.value):(t.hasAttribute("contenteditable")&&t.focus(),n=window.getSelection(),(e=document.createRange()).selectNodeContents(t),n.removeAllRanges(),n.addRange(e),n.toString());return n}},279:function(t){function e(){}e.prototype={on:function(t,e,n){var o=this.e||(this.e={});return(o[t]||(o[t]=[])).push({fn:e,ctx:n}),this},once:function(t,e,n){var o=this;function r(){o.off(t,r),e.apply(n,arguments)}return r._=e,this.on(t,r,n)},emit:function(t){for(var e=[].slice.call(arguments,1),n=((this.e||(this.e={}))[t]||[]).slice(),o=0,r=n.length;o<r;o++)n[o].fn.apply(n[o].ctx,e);return this},off:function(t,e){var n=this.e||(this.e={}),o=n[t],r=[];if(o&&e)for(var i=0,u=o.length;i<u;i++)o[i].fn!==e&&o[i].fn._!==e&&r.push(o[i]);return r.length?n[t]=r:delete n[t],this}},t.exports=e,t.exports.TinyEmitter=e}},r={},o.n=function(t){var e=t&&t.__esModule?function(){return t.default}:function(){return t};return o.d(e,{a:e}),e},o.d=function(t,e){for(var n in e)o.o(e,n)&&!o.o(t,n)&&Object.defineProperty(t,n,{enumerable:!0,get:e[n]})},o.o=function(t,e){return Object.prototype.hasOwnProperty.call(t,e)},o(686).default;function o(t){if(r[t])return r[t].exports;var e=r[t]={exports:{}};return n[t](e,e.exports,o),e.exports}var n,r});
\ No newline at end of file
diff --git a/_preview/40/_static/copy-button.svg b/_preview/40/_static/copy-button.svg
new file mode 100644
index 0000000..9c074da
--- /dev/null
+++ b/_preview/40/_static/copy-button.svg
@@ -0,0 +1,5 @@
+<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-copy" width="44" height="44" viewBox="0 0 24 24" stroke-width="1.5" stroke="#000000" fill="none" stroke-linecap="round" stroke-linejoin="round">
+  <path stroke="none" d="M0 0h24v24H0z" fill="none"/>
+  <rect x="8" y="8" width="12" height="12" rx="2" />
+  <path d="M16 8v-2a2 2 0 0 0 -2 -2h-8a2 2 0 0 0 -2 2v8a2 2 0 0 0 2 2h2" />
+</svg>
diff --git a/_preview/40/_static/copybutton.css b/_preview/40/_static/copybutton.css
new file mode 100644
index 0000000..f1916ec
--- /dev/null
+++ b/_preview/40/_static/copybutton.css
@@ -0,0 +1,94 @@
+/* Copy buttons */
+button.copybtn {
+    position: absolute;
+    display: flex;
+    top: .3em;
+    right: .3em;
+    width: 1.7em;
+    height: 1.7em;
+	opacity: 0;
+    transition: opacity 0.3s, border .3s, background-color .3s;
+    user-select: none;
+    padding: 0;
+    border: none;
+    outline: none;
+    border-radius: 0.4em;
+    /* The colors that GitHub uses */
+    border: #1b1f2426 1px solid;
+    background-color: #f6f8fa;
+    color: #57606a;
+}
+
+button.copybtn.success {
+    border-color: #22863a;
+    color: #22863a;
+}
+
+button.copybtn svg {
+    stroke: currentColor;
+    width: 1.5em;
+    height: 1.5em;
+    padding: 0.1em;
+}
+
+div.highlight  {
+    position: relative;
+}
+
+/* Show the copybutton */
+.highlight:hover button.copybtn, button.copybtn.success {
+	opacity: 1;
+}
+
+.highlight button.copybtn:hover {
+    background-color: rgb(235, 235, 235);
+}
+
+.highlight button.copybtn:active {
+    background-color: rgb(187, 187, 187);
+}
+
+/**
+ * A minimal CSS-only tooltip copied from:
+ *   https://codepen.io/mildrenben/pen/rVBrpK
+ *
+ * To use, write HTML like the following:
+ *
+ * <p class="o-tooltip--left" data-tooltip="Hey">Short</p>
+ */
+ .o-tooltip--left {
+  position: relative;
+ }
+
+ .o-tooltip--left:after {
+    opacity: 0;
+    visibility: hidden;
+    position: absolute;
+    content: attr(data-tooltip);
+    padding: .2em;
+    font-size: .8em;
+    left: -.2em;
+    background: grey;
+    color: white;
+    white-space: nowrap;
+    z-index: 2;
+    border-radius: 2px;
+    transform: translateX(-102%) translateY(0);
+    transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1);
+}
+
+.o-tooltip--left:hover:after {
+    display: block;
+    opacity: 1;
+    visibility: visible;
+    transform: translateX(-100%) translateY(0);
+    transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1);
+    transition-delay: .5s;
+}
+
+/* By default the copy button shouldn't show up when printing a page */
+@media print {
+    button.copybtn {
+        display: none;
+    }
+}
diff --git a/_preview/40/_static/copybutton.js b/_preview/40/_static/copybutton.js
new file mode 100644
index 0000000..2ea7ff3
--- /dev/null
+++ b/_preview/40/_static/copybutton.js
@@ -0,0 +1,248 @@
+// Localization support
+const messages = {
+  'en': {
+    'copy': 'Copy',
+    'copy_to_clipboard': 'Copy to clipboard',
+    'copy_success': 'Copied!',
+    'copy_failure': 'Failed to copy',
+  },
+  'es' : {
+    'copy': 'Copiar',
+    'copy_to_clipboard': 'Copiar al portapapeles',
+    'copy_success': '¡Copiado!',
+    'copy_failure': 'Error al copiar',
+  },
+  'de' : {
+    'copy': 'Kopieren',
+    'copy_to_clipboard': 'In die Zwischenablage kopieren',
+    'copy_success': 'Kopiert!',
+    'copy_failure': 'Fehler beim Kopieren',
+  },
+  'fr' : {
+    'copy': 'Copier',
+    'copy_to_clipboard': 'Copier dans le presse-papier',
+    'copy_success': 'Copié !',
+    'copy_failure': 'Échec de la copie',
+  },
+  'ru': {
+    'copy': 'Скопировать',
+    'copy_to_clipboard': 'Скопировать в буфер',
+    'copy_success': 'Скопировано!',
+    'copy_failure': 'Не удалось скопировать',
+  },
+  'zh-CN': {
+    'copy': '复制',
+    'copy_to_clipboard': '复制到剪贴板',
+    'copy_success': '复制成功!',
+    'copy_failure': '复制失败',
+  },
+  'it' : {
+    'copy': 'Copiare',
+    'copy_to_clipboard': 'Copiato negli appunti',
+    'copy_success': 'Copiato!',
+    'copy_failure': 'Errore durante la copia',
+  }
+}
+
+let locale = 'en'
+if( document.documentElement.lang !== undefined
+    && messages[document.documentElement.lang] !== undefined ) {
+  locale = document.documentElement.lang
+}
+
+let doc_url_root = DOCUMENTATION_OPTIONS.URL_ROOT;
+if (doc_url_root == '#') {
+    doc_url_root = '';
+}
+
+/**
+ * SVG files for our copy buttons
+ */
+let iconCheck = `<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-check" width="44" height="44" viewBox="0 0 24 24" stroke-width="2" stroke="#22863a" fill="none" stroke-linecap="round" stroke-linejoin="round">
+  <title>${messages[locale]['copy_success']}</title>
+  <path stroke="none" d="M0 0h24v24H0z" fill="none"/>
+  <path d="M5 12l5 5l10 -10" />
+</svg>`
+
+// If the user specified their own SVG use that, otherwise use the default
+let iconCopy = ``;
+if (!iconCopy) {
+  iconCopy = `<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-copy" width="44" height="44" viewBox="0 0 24 24" stroke-width="1.5" stroke="#000000" fill="none" stroke-linecap="round" stroke-linejoin="round">
+  <title>${messages[locale]['copy_to_clipboard']}</title>
+  <path stroke="none" d="M0 0h24v24H0z" fill="none"/>
+  <rect x="8" y="8" width="12" height="12" rx="2" />
+  <path d="M16 8v-2a2 2 0 0 0 -2 -2h-8a2 2 0 0 0 -2 2v8a2 2 0 0 0 2 2h2" />
+</svg>`
+}
+
+/**
+ * Set up copy/paste for code blocks
+ */
+
+const runWhenDOMLoaded = cb => {
+  if (document.readyState != 'loading') {
+    cb()
+  } else if (document.addEventListener) {
+    document.addEventListener('DOMContentLoaded', cb)
+  } else {
+    document.attachEvent('onreadystatechange', function() {
+      if (document.readyState == 'complete') cb()
+    })
+  }
+}
+
+const codeCellId = index => `codecell${index}`
+
+// Clears selected text since ClipboardJS will select the text when copying
+const clearSelection = () => {
+  if (window.getSelection) {
+    window.getSelection().removeAllRanges()
+  } else if (document.selection) {
+    document.selection.empty()
+  }
+}
+
+// Changes tooltip text for a moment, then changes it back
+// We want the timeout of our `success` class to be a bit shorter than the
+// tooltip and icon change, so that we can hide the icon before changing back.
+var timeoutIcon = 2000;
+var timeoutSuccessClass = 1500;
+
+const temporarilyChangeTooltip = (el, oldText, newText) => {
+  el.setAttribute('data-tooltip', newText)
+  el.classList.add('success')
+  // Remove success a little bit sooner than we change the tooltip
+  // So that we can use CSS to hide the copybutton first
+  setTimeout(() => el.classList.remove('success'), timeoutSuccessClass)
+  setTimeout(() => el.setAttribute('data-tooltip', oldText), timeoutIcon)
+}
+
+// Changes the copy button icon for two seconds, then changes it back
+const temporarilyChangeIcon = (el) => {
+  el.innerHTML = iconCheck;
+  setTimeout(() => {el.innerHTML = iconCopy}, timeoutIcon)
+}
+
+const addCopyButtonToCodeCells = () => {
+  // If ClipboardJS hasn't loaded, wait a bit and try again. This
+  // happens because we load ClipboardJS asynchronously.
+  if (window.ClipboardJS === undefined) {
+    setTimeout(addCopyButtonToCodeCells, 250)
+    return
+  }
+
+  // Add copybuttons to all of our code cells
+  const COPYBUTTON_SELECTOR = 'div.highlight pre';
+  const codeCells = document.querySelectorAll(COPYBUTTON_SELECTOR)
+  codeCells.forEach((codeCell, index) => {
+    const id = codeCellId(index)
+    codeCell.setAttribute('id', id)
+
+    const clipboardButton = id =>
+    `<button class="copybtn o-tooltip--left" data-tooltip="${messages[locale]['copy']}" data-clipboard-target="#${id}">
+      ${iconCopy}
+    </button>`
+    codeCell.insertAdjacentHTML('afterend', clipboardButton(id))
+  })
+
+function escapeRegExp(string) {
+    return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string
+}
+
+/**
+ * Removes excluded text from a Node.
+ *
+ * @param {Node} target Node to filter.
+ * @param {string} exclude CSS selector of nodes to exclude.
+ * @returns {DOMString} Text from `target` with text removed.
+ */
+function filterText(target, exclude) {
+    const clone = target.cloneNode(true);  // clone as to not modify the live DOM
+    if (exclude) {
+        // remove excluded nodes
+        clone.querySelectorAll(exclude).forEach(node => node.remove());
+    }
+    return clone.innerText;
+}
+
+// Callback when a copy button is clicked. Will be passed the node that was clicked
+// should then grab the text and replace pieces of text that shouldn't be used in output
+function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onlyCopyPromptLines = true, removePrompts = true, copyEmptyLines = true, lineContinuationChar = "", hereDocDelim = "") {
+    var regexp;
+    var match;
+
+    // Do we check for line continuation characters and "HERE-documents"?
+    var useLineCont = !!lineContinuationChar
+    var useHereDoc = !!hereDocDelim
+
+    // create regexp to capture prompt and remaining line
+    if (isRegexp) {
+        regexp = new RegExp('^(' + copybuttonPromptText + ')(.*)')
+    } else {
+        regexp = new RegExp('^(' + escapeRegExp(copybuttonPromptText) + ')(.*)')
+    }
+
+    const outputLines = [];
+    var promptFound = false;
+    var gotLineCont = false;
+    var gotHereDoc = false;
+    const lineGotPrompt = [];
+    for (const line of textContent.split('\n')) {
+        match = line.match(regexp)
+        if (match || gotLineCont || gotHereDoc) {
+            promptFound = regexp.test(line)
+            lineGotPrompt.push(promptFound)
+            if (removePrompts && promptFound) {
+                outputLines.push(match[2])
+            } else {
+                outputLines.push(line)
+            }
+            gotLineCont = line.endsWith(lineContinuationChar) & useLineCont
+            if (line.includes(hereDocDelim) & useHereDoc)
+                gotHereDoc = !gotHereDoc
+        } else if (!onlyCopyPromptLines) {
+            outputLines.push(line)
+        } else if (copyEmptyLines && line.trim() === '') {
+            outputLines.push(line)
+        }
+    }
+
+    // If no lines with the prompt were found then just use original lines
+    if (lineGotPrompt.some(v => v === true)) {
+        textContent = outputLines.join('\n');
+    }
+
+    // Remove a trailing newline to avoid auto-running when pasting
+    if (textContent.endsWith("\n")) {
+        textContent = textContent.slice(0, -1)
+    }
+    return textContent
+}
+
+
+var copyTargetText = (trigger) => {
+  var target = document.querySelector(trigger.attributes['data-clipboard-target'].value);
+
+  // get filtered text
+  let exclude = '.linenos';
+
+  let text = filterText(target, exclude);
+  return formatCopyText(text, '', false, true, true, true, '', '')
+}
+
+  // Initialize with a callback so we can modify the text before copy
+  const clipboard = new ClipboardJS('.copybtn', {text: copyTargetText})
+
+  // Update UI with error/success messages
+  clipboard.on('success', event => {
+    clearSelection()
+    temporarilyChangeTooltip(event.trigger, messages[locale]['copy'], messages[locale]['copy_success'])
+    temporarilyChangeIcon(event.trigger)
+  })
+
+  clipboard.on('error', event => {
+    temporarilyChangeTooltip(event.trigger, messages[locale]['copy'], messages[locale]['copy_failure'])
+  })
+}
+
+runWhenDOMLoaded(addCopyButtonToCodeCells)
\ No newline at end of file
diff --git a/_preview/40/_static/copybutton_funcs.js b/_preview/40/_static/copybutton_funcs.js
new file mode 100644
index 0000000..dbe1aaa
--- /dev/null
+++ b/_preview/40/_static/copybutton_funcs.js
@@ -0,0 +1,73 @@
+function escapeRegExp(string) {
+    return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string
+}
+
+/**
+ * Removes excluded text from a Node.
+ *
+ * @param {Node} target Node to filter.
+ * @param {string} exclude CSS selector of nodes to exclude.
+ * @returns {DOMString} Text from `target` with text removed.
+ */
+export function filterText(target, exclude) {
+    const clone = target.cloneNode(true);  // clone as to not modify the live DOM
+    if (exclude) {
+        // remove excluded nodes
+        clone.querySelectorAll(exclude).forEach(node => node.remove());
+    }
+    return clone.innerText;
+}
+
+// Callback when a copy button is clicked. Will be passed the node that was clicked
+// should then grab the text and replace pieces of text that shouldn't be used in output
+export function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onlyCopyPromptLines = true, removePrompts = true, copyEmptyLines = true, lineContinuationChar = "", hereDocDelim = "") {
+    var regexp;
+    var match;
+
+    // Do we check for line continuation characters and "HERE-documents"?
+    var useLineCont = !!lineContinuationChar
+    var useHereDoc = !!hereDocDelim
+
+    // create regexp to capture prompt and remaining line
+    if (isRegexp) {
+        regexp = new RegExp('^(' + copybuttonPromptText + ')(.*)')
+    } else {
+        regexp = new RegExp('^(' + escapeRegExp(copybuttonPromptText) + ')(.*)')
+    }
+
+    const outputLines = [];
+    var promptFound = false;
+    var gotLineCont = false;
+    var gotHereDoc = false;
+    const lineGotPrompt = [];
+    for (const line of textContent.split('\n')) {
+        match = line.match(regexp)
+        if (match || gotLineCont || gotHereDoc) {
+            promptFound = regexp.test(line)
+            lineGotPrompt.push(promptFound)
+            if (removePrompts && promptFound) {
+                outputLines.push(match[2])
+            } else {
+                outputLines.push(line)
+            }
+            gotLineCont = line.endsWith(lineContinuationChar) & useLineCont
+            if (line.includes(hereDocDelim) & useHereDoc)
+                gotHereDoc = !gotHereDoc
+        } else if (!onlyCopyPromptLines) {
+            outputLines.push(line)
+        } else if (copyEmptyLines && line.trim() === '') {
+            outputLines.push(line)
+        }
+    }
+
+    // If no lines with the prompt were found then just use original lines
+    if (lineGotPrompt.some(v => v === true)) {
+        textContent = outputLines.join('\n');
+    }
+
+    // Remove a trailing newline to avoid auto-running when pasting
+    if (textContent.endsWith("\n")) {
+        textContent = textContent.slice(0, -1)
+    }
+    return textContent
+}
diff --git a/_preview/40/_static/css/blank.css b/_preview/40/_static/css/blank.css
new file mode 100644
index 0000000..8a686ec
--- /dev/null
+++ b/_preview/40/_static/css/blank.css
@@ -0,0 +1,2 @@
+/* This file is intentionally left blank to override the stylesheet of the
+parent theme via theme.conf. The parent style we import directly in theme.css */
\ No newline at end of file
diff --git a/_preview/40/_static/css/index.ff1ffe594081f20da1ef19478df9384b.css b/_preview/40/_static/css/index.ff1ffe594081f20da1ef19478df9384b.css
new file mode 100644
index 0000000..9b1c5d7
--- /dev/null
+++ b/_preview/40/_static/css/index.ff1ffe594081f20da1ef19478df9384b.css
@@ -0,0 +1,6 @@
+/*!
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solid;border-left-color:rgba(var(--pst-color-admonition-default),1);border-bottom-color:rgba(var(--pst-color-admonition-default),1);border-right-color:rgba(var(--pst-color-admonition-default),1);border-top-color:rgba(var(--pst-color-admonition-default),1);border-radius:.2rem;box-shadow:0 .2rem .5rem rgba(0,0,0,.05),0 0 .0625rem rgba(0,0,0,.1);transition:color .25s,background-color .25s,border-color .25s}.admonition :last-child,div.admonition :last-child{margin-bottom:0}.admonition p.admonition-title~*,div.admonition p.admonition-title~*{padding:0 1.4rem}.admonition>ol,.admonition>ul,div.admonition>ol,div.admonition>ul{margin-left:1em}.admonition>.admonition-title,div.admonition>.admonition-title{position:relative;margin:0 -.6rem;padding:.4rem .6rem .4rem 2rem;font-weight:700;background-color:rgba(var(--pst-color-admonition-default),.1)}.admonition>.admonition-title:before,div.admonition>.admonition-title:before{position:absolute;left:.6rem;width:1rem;height:1rem;color:rgba(var(--pst-color-admonition-default),1);font-family:Font Awesome\ 5 Free;font-weight:900;content:var(--pst-icon-admonition-default)}.admonition>.admonition-title+*,div.admonition>.admonition-title+*{margin-top:.4em}.admonition.attention,div.admonition.attention{border-color:rgba(var(--pst-color-admonition-attention),1)}.admonition.attention>.admonition-title,div.admonition.attention>.admonition-title{background-color:rgba(var(--pst-color-admonition-attention),.1)}.admonition.attention>.admonition-title:before,div.admonition.attention>.admonition-title:before{color:rgba(var(--pst-color-admonition-attention),1);content:var(--pst-icon-admonition-attention)}.admonition.caution,div.admonition.caution{border-color:rgba(var(--pst-color-admonition-caution),1)}.admonition.caution>.admonition-title,div.admonition.caution>.admonition-title{background-color:rgba(var(--pst-color-admonition-caution),.1)}.admonition.caution>.admonition-title:before,div.admonition.caution>.admonition-title:before{color:rgba(var(--pst-color-admonition-caution),1);content:var(--pst-icon-admonition-caution)}.admonition.warning,div.admonition.warning{border-color:rgba(var(--pst-color-admonition-warning),1)}.admonition.warning>.admonition-title,div.admonition.warning>.admonition-title{background-color:rgba(var(--pst-color-admonition-warning),.1)}.admonition.warning>.admonition-title:before,div.admonition.warning>.admonition-title:before{color:rgba(var(--pst-color-admonition-warning),1);content:var(--pst-icon-admonition-warning)}.admonition.danger,div.admonition.danger{border-color:rgba(var(--pst-color-admonition-danger),1)}.admonition.danger>.admonition-title,div.admonition.danger>.admonition-title{background-color:rgba(var(--pst-color-admonition-danger),.1)}.admonition.danger>.admonition-title:before,div.admonition.danger>.admonition-title:before{color:rgba(var(--pst-color-admonition-danger),1);content:var(--pst-icon-admonition-danger)}.admonition.error,div.admonition.error{border-color:rgba(var(--pst-color-admonition-error),1)}.admonition.error>.admonition-title,div.admonition.error>.admonition-title{background-color:rgba(var(--pst-color-admonition-error),.1)}.admonition.error>.admonition-title:before,div.admonition.error>.admonition-title:before{color:rgba(var(--pst-color-admonition-error),1);content:var(--pst-icon-admonition-error)}.admonition.hint,div.admonition.hint{border-color:rgba(var(--pst-color-admonition-hint),1)}.admonition.hint>.admonition-title,div.admonition.hint>.admonition-title{background-color:rgba(var(--pst-color-admonition-hint),.1)}.admonition.hint>.admonition-title:before,div.admonition.hint>.admonition-title:before{color:rgba(var(--pst-color-admonition-hint),1);content:var(--pst-icon-admonition-hint)}.admonition.tip,div.admonition.tip{border-color:rgba(var(--pst-color-admonition-tip),1)}.admonition.tip>.admonition-title,div.admonition.tip>.admonition-title{background-color:rgba(var(--pst-color-admonition-tip),.1)}.admonition.tip>.admonition-title:before,div.admonition.tip>.admonition-title:before{color:rgba(var(--pst-color-admonition-tip),1);content:var(--pst-icon-admonition-tip)}.admonition.important,div.admonition.important{border-color:rgba(var(--pst-color-admonition-important),1)}.admonition.important>.admonition-title,div.admonition.important>.admonition-title{background-color:rgba(var(--pst-color-admonition-important),.1)}.admonition.important>.admonition-title:before,div.admonition.important>.admonition-title:before{color:rgba(var(--pst-color-admonition-important),1);content:var(--pst-icon-admonition-important)}.admonition.note,div.admonition.note{border-color:rgba(var(--pst-color-admonition-note),1)}.admonition.note>.admonition-title,div.admonition.note>.admonition-title{background-color:rgba(var(--pst-color-admonition-note),.1)}.admonition.note>.admonition-title:before,div.admonition.note>.admonition-title:before{color:rgba(var(--pst-color-admonition-note),1);content:var(--pst-icon-admonition-note)}table.field-list{border-collapse:separate;border-spacing:10px;margin-left:1px}table.field-list th.field-name{padding:1px 8px 1px 5px;white-space:nowrap;background-color:#eee}table.field-list td.field-body p{font-style:italic}table.field-list td.field-body p>strong{font-style:normal}table.field-list td.field-body blockquote{border-left:none;margin:0 0 .3em;padding-left:30px}.table.autosummary td:first-child{white-space:nowrap}.sig{font-family:var(--pst-font-family-monospace)}.sig-inline.c-texpr,.sig-inline.cpp-texpr{font-family:unset}.sig.c .k,.sig.c .kt,.sig.c .m,.sig.c .s,.sig.c .sc,.sig.cpp .k,.sig.cpp .kt,.sig.cpp .m,.sig.cpp .s,.sig.cpp .sc{color:rgba(var(--pst-color-text-base),1)}.sig-name{color:rgba(var(--pst-color-inline-code),1)}blockquote{padding:0 1em;color:#6a737d;border-left:.25em solid #dfe2e5}dt.label>span.brackets:not(:only-child):before{content:"["}dt.label>span.brackets:not(:only-child):after{content:"]"}a.footnote-reference{vertical-align:super;font-size:small}div.deprecated{margin-bottom:10px;margin-top:10px;padding:7px;background-color:#f3e5e5;border:1px solid #eed3d7;border-radius:.5rem}div.deprecated p{color:#b94a48;display:inline}.topic{background-color:#eee}.seealso dd{margin-top:0;margin-bottom:0}.viewcode-back{font-family:var(--pst-font-family-base)}.viewcode-block:target{background-color:#f4debf;border-top:1px solid #ac9;border-bottom:1px solid #ac9}span.guilabel{border:1px solid #7fbbe3;background:#e7f2fa;font-size:80%;font-weight:700;border-radius:4px;padding:2.4px 6px;margin:auto 2px}footer{width:100%;border-top:1px solid #ccc;padding:10px}footer .footer-item p{margin-bottom:0}.bd-search{position:relative;padding:1rem 15px;margin-right:-15px;margin-left:-15px}.bd-search .icon{position:absolute;color:#a4a6a7;left:25px;top:25px}.bd-search input{border-radius:0;border:0;border-bottom:1px solid #e5e5e5;padding-left:35px}.bd-toc{-ms-flex-order:2;order:2;height:calc(100vh - 2rem);overflow-y:auto}@supports (position:-webkit-sticky) or (position:sticky){.bd-toc{position:-webkit-sticky;position:sticky;top:calc(var(--pst-header-height) + 20px);height:calc(100vh - 5rem);overflow-y:auto}}.bd-toc .onthispage{color:#a4a6a7}.section-nav{padding-left:0;border-left:1px solid #eee;border-bottom:none}.section-nav ul{padding-left:1rem}.toc-entry,.toc-entry a{display:block}.toc-entry a{padding:.125rem 1.5rem;color:rgba(var(--pst-color-toc-link),1)}@media (min-width:1200px){.toc-entry a{padding-right:0}}.toc-entry a:hover{color:rgba(var(--pst-color-toc-link-hover),1);text-decoration:none}.bd-sidebar{padding-top:1em}@media (min-width:720px){.bd-sidebar{border-right:1px solid rgba(0,0,0,.1)}@supports (position:-webkit-sticky) or (position:sticky){.bd-sidebar{position:-webkit-sticky;position:sticky;top:calc(var(--pst-header-height) + 20px);z-index:1000;height:calc(100vh - var(--pst-header-height) - 20px)}}}.bd-sidebar.no-sidebar{border-right:0}.bd-links{padding-top:1rem;padding-bottom:1rem;margin-right:-15px;margin-left:-15px}@media (min-width:720px){.bd-links{display:block}@supports (position:-webkit-sticky) or (position:sticky){.bd-links{max-height:calc(100vh - 11rem);overflow-y:auto}}}.bd-sidenav{display:none}.bd-content{padding-top:20px}.bd-content .section{max-width:100%}.bd-content .section table{display:block;overflow:auto}.bd-toc-link{display:block;padding:.25rem 1.5rem;font-weight:600;color:rgba(0,0,0,.65)}.bd-toc-link:hover{color:rgba(0,0,0,.85);text-decoration:none}.bd-toc-item.active{margin-bottom:1rem}.bd-toc-item.active:not(:first-child){margin-top:1rem}.bd-toc-item.active>.bd-toc-link{color:rgba(0,0,0,.85)}.bd-toc-item.active>.bd-toc-link:hover{background-color:transparent}.bd-toc-item.active>.bd-sidenav{display:block}nav.bd-links p.caption{font-size:var(--pst-sidebar-caption-font-size);text-transform:uppercase;font-weight:700;position:relative;margin-top:1.25em;margin-bottom:.5em;padding:0 1.5rem;color:rgba(var(--pst-color-sidebar-caption),1)}nav.bd-links p.caption:first-child{margin-top:0}.bd-sidebar .nav{font-size:var(--pst-sidebar-font-size)}.bd-sidebar .nav ul{list-style:none;padding:0 0 0 1.5rem}.bd-sidebar .nav li>a{display:block;padding:.25rem 1.5rem;color:rgba(var(--pst-color-sidebar-link),1)}.bd-sidebar .nav li>a:hover{color:rgba(var(--pst-color-sidebar-link-hover),1);text-decoration:none;background-color:transparent}.bd-sidebar .nav li>a.reference.external:after{font-family:Font Awesome\ 5 Free;font-weight:900;content:"\f35d";font-size:.75em;margin-left:.3em}.bd-sidebar .nav .active:hover>a,.bd-sidebar .nav .active>a{font-weight:600;color:rgba(var(--pst-color-sidebar-link-active),1)}.toc-h2{font-size:.85rem}.toc-h3{font-size:.75rem}.toc-h4{font-size:.65rem}.toc-entry>.nav-link.active{font-weight:600;color:#130654;color:rgba(var(--pst-color-toc-link-active),1);background-color:transparent;border-left:2px solid rgba(var(--pst-color-toc-link-active),1)}.nav-link:hover{border-style:none}#navbar-main-elements li.nav-item i{font-size:.7rem;padding-left:2px;vertical-align:middle}.bd-toc .nav .nav{display:none}.bd-toc .nav .nav.visible,.bd-toc .nav>.active>ul{display:block}.prev-next-area{margin:20px 0}.prev-next-area p{margin:0 .3em;line-height:1.3em}.prev-next-area i{font-size:1.2em}.prev-next-area a{display:flex;align-items:center;border:none;padding:10px;max-width:45%;overflow-x:hidden;color:rgba(0,0,0,.65);text-decoration:none}.prev-next-area a p.prev-next-title{color:rgba(var(--pst-color-link),1);font-weight:600;font-size:1.1em}.prev-next-area a:hover p.prev-next-title{text-decoration:underline}.prev-next-area a .prev-next-info{flex-direction:column;margin:0 .5em}.prev-next-area a .prev-next-info .prev-next-subtitle{text-transform:capitalize}.prev-next-area a.left-prev{float:left}.prev-next-area a.right-next{float:right}.prev-next-area a.right-next div.prev-next-info{text-align:right}.alert{padding-bottom:0}.alert-info a{color:#e83e8c}#navbar-icon-links i.fa,#navbar-icon-links i.fab,#navbar-icon-links i.far,#navbar-icon-links i.fas{vertical-align:middle;font-style:normal;font-size:1.5rem;line-height:1.25}#navbar-icon-links i.fa-github-square:before{color:#333}#navbar-icon-links i.fa-twitter-square:before{color:#55acee}#navbar-icon-links i.fa-gitlab:before{color:#548}#navbar-icon-links i.fa-bitbucket:before{color:#0052cc}.tocsection{border-left:1px solid #eee;padding:.3rem 1.5rem}.tocsection i{padding-right:.5rem}.editthispage{padding-top:2rem}.editthispage a{color:var(--pst-color-sidebar-link-active)}.xr-wrap[hidden]{display:block!important}.toctree-checkbox{position:absolute;display:none}.toctree-checkbox~ul{display:none}.toctree-checkbox~label i{transform:rotate(0deg)}.toctree-checkbox:checked~ul{display:block}.toctree-checkbox:checked~label i{transform:rotate(180deg)}.bd-sidebar li{position:relative}.bd-sidebar label{position:absolute;top:0;right:0;height:30px;width:30px;cursor:pointer;display:flex;justify-content:center;align-items:center}.bd-sidebar label:hover{background:rgba(var(--pst-color-sidebar-expander-background-hover),1)}.bd-sidebar label i{display:inline-block;font-size:.75rem;text-align:center}.bd-sidebar label i:hover{color:rgba(var(--pst-color-sidebar-link-hover),1)}.bd-sidebar li.has-children>.reference{padding-right:30px}div.doctest>div.highlight span.gp,span.linenos,table.highlighttable td.linenos{user-select:none;-webkit-user-select:text;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none}.docutils.container{padding-left:unset;padding-right:unset}
\ No newline at end of file
diff --git a/_preview/40/_static/css/theme.css b/_preview/40/_static/css/theme.css
new file mode 100644
index 0000000..2e03fe3
--- /dev/null
+++ b/_preview/40/_static/css/theme.css
@@ -0,0 +1,120 @@
+/* Provided by the Sphinx base theme template at build time */
+@import "../basic.css";
+
+:root {
+  /*****************************************************************************
+  * Theme config
+  **/
+  --pst-header-height: 60px;
+
+  /*****************************************************************************
+  * Font size
+  **/
+  --pst-font-size-base: 15px; /* base font size - applied at body / html level */
+
+  /* heading font sizes */
+  --pst-font-size-h1: 36px;
+  --pst-font-size-h2: 32px;
+  --pst-font-size-h3: 26px;
+  --pst-font-size-h4: 21px;
+  --pst-font-size-h5: 18px;
+  --pst-font-size-h6: 16px;
+
+  /* smaller then heading font sizes*/
+  --pst-font-size-milli: 12px;
+
+  --pst-sidebar-font-size: .9em;
+  --pst-sidebar-caption-font-size: .9em;
+
+  /*****************************************************************************
+  * Font family
+  **/
+  /* These are adapted from https://systemfontstack.com/ */
+  --pst-font-family-base-system: -apple-system, BlinkMacSystemFont, Segoe UI, "Helvetica Neue",
+    Arial, sans-serif, Apple Color Emoji, Segoe UI Emoji, Segoe UI Symbol;
+  --pst-font-family-monospace-system: "SFMono-Regular", Menlo, Consolas, Monaco,
+    Liberation Mono, Lucida Console, monospace;
+
+  --pst-font-family-base: var(--pst-font-family-base-system);
+  --pst-font-family-heading: var(--pst-font-family-base);
+  --pst-font-family-monospace: var(--pst-font-family-monospace-system);
+
+  /*****************************************************************************
+  * Color
+  * 
+  * Colors are defined in rgb string way, "red, green, blue"
+  **/
+  --pst-color-primary: 19, 6, 84;
+  --pst-color-success: 40, 167, 69;
+  --pst-color-info: 0, 123, 255;  /*23, 162, 184;*/
+  --pst-color-warning: 255, 193, 7;
+  --pst-color-danger: 220, 53, 69;
+  --pst-color-text-base: 51, 51, 51;
+
+  --pst-color-h1: var(--pst-color-primary);
+  --pst-color-h2: var(--pst-color-primary);
+  --pst-color-h3: var(--pst-color-text-base);
+  --pst-color-h4: var(--pst-color-text-base);
+  --pst-color-h5: var(--pst-color-text-base);
+  --pst-color-h6: var(--pst-color-text-base);
+  --pst-color-paragraph: var(--pst-color-text-base);
+  --pst-color-link: 0, 91, 129;
+  --pst-color-link-hover: 227, 46, 0;
+  --pst-color-headerlink: 198, 15, 15;
+  --pst-color-headerlink-hover: 255, 255, 255;
+  --pst-color-preformatted-text: 34, 34, 34;
+  --pst-color-preformatted-background: 250, 250, 250;
+  --pst-color-inline-code: 232, 62, 140;
+
+  --pst-color-active-navigation: 19, 6, 84;
+  --pst-color-navbar-link: 77, 77, 77;
+  --pst-color-navbar-link-hover: var(--pst-color-active-navigation);
+  --pst-color-navbar-link-active: var(--pst-color-active-navigation);
+  --pst-color-sidebar-link: 77, 77, 77;
+  --pst-color-sidebar-link-hover: var(--pst-color-active-navigation);
+  --pst-color-sidebar-link-active: var(--pst-color-active-navigation);
+  --pst-color-sidebar-expander-background-hover: 244, 244, 244;
+  --pst-color-sidebar-caption: 77, 77, 77;
+  --pst-color-toc-link: 119, 117, 122;
+  --pst-color-toc-link-hover: var(--pst-color-active-navigation);
+  --pst-color-toc-link-active: var(--pst-color-active-navigation);
+
+  /*****************************************************************************
+  * Icon
+  **/
+
+  /* font awesome icons*/
+  --pst-icon-check-circle: '\f058';
+  --pst-icon-info-circle: '\f05a';
+  --pst-icon-exclamation-triangle: '\f071';
+  --pst-icon-exclamation-circle: '\f06a';
+  --pst-icon-times-circle: '\f057';
+  --pst-icon-lightbulb: '\f0eb';
+
+  /*****************************************************************************
+  * Admonitions
+  **/
+
+  --pst-color-admonition-default: var(--pst-color-info);
+  --pst-color-admonition-note: var(--pst-color-info);
+  --pst-color-admonition-attention: var(--pst-color-warning);
+  --pst-color-admonition-caution: var(--pst-color-warning);
+  --pst-color-admonition-warning: var(--pst-color-warning);
+  --pst-color-admonition-danger: var(--pst-color-danger);
+  --pst-color-admonition-error: var(--pst-color-danger);
+  --pst-color-admonition-hint: var(--pst-color-success);
+  --pst-color-admonition-tip: var(--pst-color-success);
+  --pst-color-admonition-important: var(--pst-color-success);
+
+  --pst-icon-admonition-default: var(--pst-icon-info-circle);
+  --pst-icon-admonition-note: var(--pst-icon-info-circle);
+  --pst-icon-admonition-attention: var(--pst-icon-exclamation-circle);
+  --pst-icon-admonition-caution: var(--pst-icon-exclamation-triangle);
+  --pst-icon-admonition-warning: var(--pst-icon-exclamation-triangle);
+  --pst-icon-admonition-danger: var(--pst-icon-exclamation-triangle);
+  --pst-icon-admonition-error: var(--pst-icon-times-circle);
+  --pst-icon-admonition-hint: var(--pst-icon-lightbulb);
+  --pst-icon-admonition-tip: var(--pst-icon-lightbulb);
+  --pst-icon-admonition-important: var(--pst-icon-exclamation-circle);
+
+}
diff --git a/_preview/40/_static/design-style.4045f2051d55cab465a707391d5b2007.min.css b/_preview/40/_static/design-style.4045f2051d55cab465a707391d5b2007.min.css
new file mode 100644
index 0000000..3225661
--- /dev/null
+++ b/_preview/40/_static/design-style.4045f2051d55cab465a707391d5b2007.min.css
@@ -0,0 +1 @@
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summary:focus{outline:none}details.sd-dropdown .sd-summary-icon{margin-right:.5em}details.sd-dropdown .sd-summary-icon svg{opacity:.8}details.sd-dropdown summary:hover .sd-summary-up svg,details.sd-dropdown summary:hover .sd-summary-down svg{opacity:1;transform:scale(1.1)}details.sd-dropdown .sd-summary-up svg,details.sd-dropdown .sd-summary-down svg{display:block;opacity:.6}details.sd-dropdown .sd-summary-up,details.sd-dropdown .sd-summary-down{pointer-events:none;position:absolute;right:1em;top:1em}details.sd-dropdown[open]>.sd-summary-title .sd-summary-down{visibility:hidden}details.sd-dropdown:not([open])>.sd-summary-title .sd-summary-up{visibility:hidden}details.sd-dropdown:not([open]).sd-card{border:none}details.sd-dropdown:not([open])>.sd-card-header{border:1px solid var(--sd-color-card-border);border-radius:.25rem}details.sd-dropdown.sd-fade-in[open] summary~*{-moz-animation:sd-fade-in .5s ease-in-out;-webkit-animation:sd-fade-in .5s ease-in-out;animation:sd-fade-in .5s 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0;position:relative}.sd-tab-set>input{opacity:0;position:absolute}.sd-tab-set>input:checked+label{border-color:var(--sd-color-tabs-underline-active);color:var(--sd-color-tabs-label-active)}.sd-tab-set>input:checked+label+.sd-tab-content{display:block}.sd-tab-set>input:not(:checked)+label:hover{color:var(--sd-color-tabs-label-hover);border-color:var(--sd-color-tabs-underline-hover)}.sd-tab-set>input:focus+label{outline-style:auto}.sd-tab-set>input:not(.focus-visible)+label{outline:none;-webkit-tap-highlight-color:transparent}.sd-tab-set>label{border-bottom:.125rem solid transparent;margin-bottom:0;color:var(--sd-color-tabs-label-inactive);border-color:var(--sd-color-tabs-underline-inactive);cursor:pointer;font-size:var(--sd-fontsize-tabs-label);font-weight:700;padding:1em 1.25em .5em;transition:color 250ms;width:auto;z-index:1}html .sd-tab-set>label:hover{color:var(--sd-color-tabs-label-active)}.sd-col>.sd-tab-set{width:100%}.sd-tab-content{box-shadow:0 -0.0625rem var(--sd-color-tabs-overline),0 .0625rem var(--sd-color-tabs-underline);display:none;order:99;padding-bottom:.75rem;padding-top:.75rem;width:100%}.sd-tab-content>:first-child{margin-top:0 !important}.sd-tab-content>:last-child{margin-bottom:0 !important}.sd-tab-content>.sd-tab-set{margin:0}.sd-sphinx-override,.sd-sphinx-override *{-moz-box-sizing:border-box;-webkit-box-sizing:border-box;box-sizing:border-box}.sd-sphinx-override p{margin-top:0}:root{--sd-color-primary: #007bff;--sd-color-secondary: #6c757d;--sd-color-success: #28a745;--sd-color-info: #17a2b8;--sd-color-warning: #f0b37e;--sd-color-danger: #dc3545;--sd-color-light: #f8f9fa;--sd-color-muted: #6c757d;--sd-color-dark: #212529;--sd-color-black: black;--sd-color-white: white;--sd-color-primary-highlight: #0069d9;--sd-color-secondary-highlight: #5c636a;--sd-color-success-highlight: #228e3b;--sd-color-info-highlight: #148a9c;--sd-color-warning-highlight: #cc986b;--sd-color-danger-highlight: #bb2d3b;--sd-color-light-highlight: #d3d4d5;--sd-color-muted-highlight: #5c636a;--sd-color-dark-highlight: #1c1f23;--sd-color-black-highlight: black;--sd-color-white-highlight: #d9d9d9;--sd-color-primary-text: #fff;--sd-color-secondary-text: #fff;--sd-color-success-text: #fff;--sd-color-info-text: #fff;--sd-color-warning-text: #212529;--sd-color-danger-text: #fff;--sd-color-light-text: #212529;--sd-color-muted-text: #fff;--sd-color-dark-text: #fff;--sd-color-black-text: #fff;--sd-color-white-text: #212529;--sd-color-shadow: rgba(0, 0, 0, 0.15);--sd-color-card-border: rgba(0, 0, 0, 0.125);--sd-color-card-border-hover: hsla(231, 99%, 66%, 1);--sd-color-card-background: transparent;--sd-color-card-text: inherit;--sd-color-card-header: transparent;--sd-color-card-footer: transparent;--sd-color-tabs-label-active: hsla(231, 99%, 66%, 1);--sd-color-tabs-label-hover: hsla(231, 99%, 66%, 1);--sd-color-tabs-label-inactive: hsl(0, 0%, 66%);--sd-color-tabs-underline-active: hsla(231, 99%, 66%, 1);--sd-color-tabs-underline-hover: rgba(178, 206, 245, 0.62);--sd-color-tabs-underline-inactive: transparent;--sd-color-tabs-overline: rgb(222, 222, 222);--sd-color-tabs-underline: rgb(222, 222, 222);--sd-fontsize-tabs-label: 1rem}
diff --git a/_preview/40/_static/design-tabs.js b/_preview/40/_static/design-tabs.js
new file mode 100644
index 0000000..36b38cf
--- /dev/null
+++ b/_preview/40/_static/design-tabs.js
@@ -0,0 +1,27 @@
+var sd_labels_by_text = {};
+
+function ready() {
+  const li = document.getElementsByClassName("sd-tab-label");
+  for (const label of li) {
+    syncId = label.getAttribute("data-sync-id");
+    if (syncId) {
+      label.onclick = onLabelClick;
+      if (!sd_labels_by_text[syncId]) {
+        sd_labels_by_text[syncId] = [];
+      }
+      sd_labels_by_text[syncId].push(label);
+    }
+  }
+}
+
+function onLabelClick() {
+  // Activate other inputs with the same sync id.
+  syncId = this.getAttribute("data-sync-id");
+  for (label of sd_labels_by_text[syncId]) {
+    if (label === this) continue;
+    label.previousElementSibling.checked = true;
+  }
+  window.localStorage.setItem("sphinx-design-last-tab", syncId);
+}
+
+document.addEventListener("DOMContentLoaded", ready, false);
diff --git a/_preview/40/_static/doctools.js b/_preview/40/_static/doctools.js
new file mode 100644
index 0000000..e1bfd70
--- /dev/null
+++ b/_preview/40/_static/doctools.js
@@ -0,0 +1,358 @@
+/*
+ * doctools.js
+ * ~~~~~~~~~~~
+ *
+ * Sphinx JavaScript utilities for all documentation.
+ *
+ * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+/**
+ * select a different prefix for underscore
+ */
+$u = _.noConflict();
+
+/**
+ * make the code below compatible with browsers without
+ * an installed firebug like debugger
+if (!window.console || !console.firebug) {
+  var names = ["log", "debug", "info", "warn", "error", "assert", "dir",
+    "dirxml", "group", "groupEnd", "time", "timeEnd", "count", "trace",
+    "profile", "profileEnd"];
+  window.console = {};
+  for (var i = 0; i < names.length; ++i)
+    window.console[names[i]] = function() {};
+}
+ */
+
+/**
+ * small helper function to urldecode strings
+ *
+ * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/decodeURIComponent#Decoding_query_parameters_from_a_URL
+ */
+jQuery.urldecode = function(x) {
+  if (!x) {
+    return x
+  }
+  return decodeURIComponent(x.replace(/\+/g, ' '));
+};
+
+/**
+ * small helper function to urlencode strings
+ */
+jQuery.urlencode = encodeURIComponent;
+
+/**
+ * This function returns the parsed url parameters of the
+ * current request. Multiple values per key are supported,
+ * it will always return arrays of strings for the value parts.
+ */
+jQuery.getQueryParameters = function(s) {
+  if (typeof s === 'undefined')
+    s = document.location.search;
+  var parts = s.substr(s.indexOf('?') + 1).split('&');
+  var result = {};
+  for (var i = 0; i < parts.length; i++) {
+    var tmp = parts[i].split('=', 2);
+    var key = jQuery.urldecode(tmp[0]);
+    var value = jQuery.urldecode(tmp[1]);
+    if (key in result)
+      result[key].push(value);
+    else
+      result[key] = [value];
+  }
+  return result;
+};
+
+/**
+ * highlight a given string on a jquery object by wrapping it in
+ * span elements with the given class name.
+ */
+jQuery.fn.highlightText = function(text, className) {
+  function highlight(node, addItems) {
+    if (node.nodeType === 3) {
+      var val = node.nodeValue;
+      var pos = val.toLowerCase().indexOf(text);
+      if (pos >= 0 &&
+          !jQuery(node.parentNode).hasClass(className) &&
+          !jQuery(node.parentNode).hasClass("nohighlight")) {
+        var span;
+        var isInSVG = jQuery(node).closest("body, svg, foreignObject").is("svg");
+        if (isInSVG) {
+          span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
+        } else {
+          span = document.createElement("span");
+          span.className = className;
+        }
+        span.appendChild(document.createTextNode(val.substr(pos, text.length)));
+        node.parentNode.insertBefore(span, node.parentNode.insertBefore(
+          document.createTextNode(val.substr(pos + text.length)),
+          node.nextSibling));
+        node.nodeValue = val.substr(0, pos);
+        if (isInSVG) {
+          var rect = document.createElementNS("http://www.w3.org/2000/svg", "rect");
+          var bbox = node.parentElement.getBBox();
+          rect.x.baseVal.value = bbox.x;
+          rect.y.baseVal.value = bbox.y;
+          rect.width.baseVal.value = bbox.width;
+          rect.height.baseVal.value = bbox.height;
+          rect.setAttribute('class', className);
+          addItems.push({
+              "parent": node.parentNode,
+              "target": rect});
+        }
+      }
+    }
+    else if (!jQuery(node).is("button, select, textarea")) {
+      jQuery.each(node.childNodes, function() {
+        highlight(this, addItems);
+      });
+    }
+  }
+  var addItems = [];
+  var result = this.each(function() {
+    highlight(this, addItems);
+  });
+  for (var i = 0; i < addItems.length; ++i) {
+    jQuery(addItems[i].parent).before(addItems[i].target);
+  }
+  return result;
+};
+
+/*
+ * backward compatibility for jQuery.browser
+ * This will be supported until firefox bug is fixed.
+ */
+if (!jQuery.browser) {
+  jQuery.uaMatch = function(ua) {
+    ua = ua.toLowerCase();
+
+    var match = /(chrome)[ \/]([\w.]+)/.exec(ua) ||
+      /(webkit)[ \/]([\w.]+)/.exec(ua) ||
+      /(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) ||
+      /(msie) ([\w.]+)/.exec(ua) ||
+      ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) ||
+      [];
+
+    return {
+      browser: match[ 1 ] || "",
+      version: match[ 2 ] || "0"
+    };
+  };
+  jQuery.browser = {};
+  jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true;
+}
+
+/**
+ * Small JavaScript module for the documentation.
+ */
+var Documentation = {
+
+  init : function() {
+    this.fixFirefoxAnchorBug();
+    this.highlightSearchWords();
+    this.initIndexTable();
+    this.initOnKeyListeners();
+  },
+
+  /**
+   * i18n support
+   */
+  TRANSLATIONS : {},
+  PLURAL_EXPR : function(n) { return n === 1 ? 0 : 1; },
+  LOCALE : 'unknown',
+
+  // gettext and ngettext don't access this so that the functions
+  // can safely bound to a different name (_ = Documentation.gettext)
+  gettext : function(string) {
+    var translated = Documentation.TRANSLATIONS[string];
+    if (typeof translated === 'undefined')
+      return string;
+    return (typeof translated === 'string') ? translated : translated[0];
+  },
+
+  ngettext : function(singular, plural, n) {
+    var translated = Documentation.TRANSLATIONS[singular];
+    if (typeof translated === 'undefined')
+      return (n == 1) ? singular : plural;
+    return translated[Documentation.PLURALEXPR(n)];
+  },
+
+  addTranslations : function(catalog) {
+    for (var key in catalog.messages)
+      this.TRANSLATIONS[key] = catalog.messages[key];
+    this.PLURAL_EXPR = new Function('n', 'return +(' + catalog.plural_expr + ')');
+    this.LOCALE = catalog.locale;
+  },
+
+  /**
+   * add context elements like header anchor links
+   */
+  addContextElements : function() {
+    $('div[id] > :header:first').each(function() {
+      $('<a class="headerlink">\u00B6</a>').
+      attr('href', '#' + this.id).
+      attr('title', _('Permalink to this headline')).
+      appendTo(this);
+    });
+    $('dt[id]').each(function() {
+      $('<a class="headerlink">\u00B6</a>').
+      attr('href', '#' + this.id).
+      attr('title', _('Permalink to this definition')).
+      appendTo(this);
+    });
+  },
+
+  /**
+   * workaround a firefox stupidity
+   * see: https://bugzilla.mozilla.org/show_bug.cgi?id=645075
+   */
+  fixFirefoxAnchorBug : function() {
+    if (document.location.hash && $.browser.mozilla)
+      window.setTimeout(function() {
+        document.location.href += '';
+      }, 10);
+  },
+
+  /**
+   * highlight the search words provided in the url in the text
+   */
+  highlightSearchWords : function() {
+    var params = $.getQueryParameters();
+    var terms = (params.highlight) ? params.highlight[0].split(/\s+/) : [];
+    if (terms.length) {
+      var body = $('div.body');
+      if (!body.length) {
+        body = $('body');
+      }
+      window.setTimeout(function() {
+        $.each(terms, function() {
+          body.highlightText(this.toLowerCase(), 'highlighted');
+        });
+      }, 10);
+      $('<p class="highlight-link"><a href="javascript:Documentation.' +
+        'hideSearchWords()">' + _('Hide Search Matches') + '</a></p>')
+          .appendTo($('#searchbox'));
+    }
+  },
+
+  /**
+   * init the domain index toggle buttons
+   */
+  initIndexTable : function() {
+    var togglers = $('img.toggler').click(function() {
+      var src = $(this).attr('src');
+      var idnum = $(this).attr('id').substr(7);
+      $('tr.cg-' + idnum).toggle();
+      if (src.substr(-9) === 'minus.png')
+        $(this).attr('src', src.substr(0, src.length-9) + 'plus.png');
+      else
+        $(this).attr('src', src.substr(0, src.length-8) + 'minus.png');
+    }).css('display', '');
+    if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) {
+        togglers.click();
+    }
+  },
+
+  /**
+   * helper function to hide the search marks again
+   */
+  hideSearchWords : function() {
+    $('#searchbox .highlight-link').fadeOut(300);
+    $('span.highlighted').removeClass('highlighted');
+    var url = new URL(window.location);
+    url.searchParams.delete('highlight');
+    window.history.replaceState({}, '', url);
+  },
+
+   /**
+   * helper function to focus on search bar
+   */
+  focusSearchBar : function() {
+    $('input[name=q]').first().focus();
+  },
+
+  /**
+   * make the url absolute
+   */
+  makeURL : function(relativeURL) {
+    return DOCUMENTATION_OPTIONS.URL_ROOT + '/' + relativeURL;
+  },
+
+  /**
+   * get the current relative url
+   */
+  getCurrentURL : function() {
+    var path = document.location.pathname;
+    var parts = path.split(/\//);
+    $.each(DOCUMENTATION_OPTIONS.URL_ROOT.split(/\//), function() {
+      if (this === '..')
+        parts.pop();
+    });
+    var url = parts.join('/');
+    return path.substring(url.lastIndexOf('/') + 1, path.length - 1);
+  },
+
+  initOnKeyListeners: function() {
+    // only install a listener if it is really needed
+    if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS &&
+        !DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS)
+        return;
+
+    $(document).keydown(function(event) {
+      var activeElementType = document.activeElement.tagName;
+      // don't navigate when in search box, textarea, dropdown or button
+      if (activeElementType !== 'TEXTAREA' && activeElementType !== 'INPUT' && activeElementType !== 'SELECT'
+          && activeElementType !== 'BUTTON') {
+        if (event.altKey || event.ctrlKey || event.metaKey)
+          return;
+
+          if (!event.shiftKey) {
+            switch (event.key) {
+              case 'ArrowLeft':
+                if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS)
+                  break;
+                var prevHref = $('link[rel="prev"]').prop('href');
+                if (prevHref) {
+                  window.location.href = prevHref;
+                  return false;
+                }
+                break;
+              case 'ArrowRight':
+                if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS)
+                  break;
+                var nextHref = $('link[rel="next"]').prop('href');
+                if (nextHref) {
+                  window.location.href = nextHref;
+                  return false;
+                }
+                break;
+              case 'Escape':
+                if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS)
+                  break;
+                Documentation.hideSearchWords();
+                return false;
+          }
+        }
+
+        // some keyboard layouts may need Shift to get /
+        switch (event.key) {
+          case '/':
+            if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS)
+              break;
+            Documentation.focusSearchBar();
+            return false;
+        }
+      }
+    });
+  }
+};
+
+// quick alias for translations
+_ = Documentation.gettext;
+
+$(document).ready(function() {
+  Documentation.init();
+});
diff --git a/_preview/40/_static/documentation_options.js b/_preview/40/_static/documentation_options.js
new file mode 100644
index 0000000..877e3c3
--- /dev/null
+++ b/_preview/40/_static/documentation_options.js
@@ -0,0 +1,14 @@
+var DOCUMENTATION_OPTIONS = {
+    URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
+    VERSION: '',
+    LANGUAGE: 'None',
+    COLLAPSE_INDEX: false,
+    BUILDER: 'html',
+    FILE_SUFFIX: '.html',
+    LINK_SUFFIX: '.html',
+    HAS_SOURCE: true,
+    SOURCELINK_SUFFIX: '',
+    NAVIGATION_WITH_KEYS: true,
+    SHOW_SEARCH_SUMMARY: true,
+    ENABLE_SEARCH_SHORTCUTS: true,
+};
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new file mode 100644
index 0000000..45fecf7
--- /dev/null
+++ b/_preview/40/_static/images/logo_binder.svg
@@ -0,0 +1,19 @@
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diff --git a/_preview/40/_static/images/logo_jupyterhub.svg b/_preview/40/_static/images/logo_jupyterhub.svg
new file mode 100644
index 0000000..60cfe9f
--- /dev/null
+++ b/_preview/40/_static/images/logo_jupyterhub.svg
@@ -0,0 +1 @@
+<svg id="Layer_1" data-name="Layer 1" xmlns="http://www.w3.org/2000/svg" width="38.73" height="50" viewBox="0 0 38.73 50"><defs><style>.cls-1{fill:#767677;}.cls-2{fill:#f37726;}.cls-3{fill:#9e9e9e;}.cls-4{fill:#616262;}.cls-5{font-size:17.07px;fill:#fff;font-family:Roboto-Regular, Roboto;}</style></defs><title>logo_jupyterhub</title><g id="Canvas"><path id="path7_fill" data-name="path7 fill" class="cls-1" d="M39.51,3.53a3,3,0,0,1-1.7,2.9A3,3,0,0,1,34.48,6a3,3,0,0,1-.82-3.26,3,3,0,0,1,1.05-1.41A3,3,0,0,1,37.52.86a2.88,2.88,0,0,1,1,.6,3,3,0,0,1,.7.93,3.18,3.18,0,0,1,.28,1.14Z" transform="translate(-1.87 -0.69)"/><path id="path8_fill" data-name="path8 fill" class="cls-2" d="M21.91,38.39c-8,0-15.06-2.87-18.7-7.12a19.93,19.93,0,0,0,37.39,0C37,35.52,30,38.39,21.91,38.39Z" transform="translate(-1.87 -0.69)"/><path id="path9_fill" data-name="path9 fill" class="cls-2" d="M21.91,10.78c8,0,15.05,2.87,18.69,7.12a19.93,19.93,0,0,0-37.39,0C6.85,13.64,13.86,10.78,21.91,10.78Z" transform="translate(-1.87 -0.69)"/><path id="path10_fill" data-name="path10 fill" class="cls-3" d="M10.88,46.66a3.86,3.86,0,0,1-.52,2.15,3.81,3.81,0,0,1-1.62,1.51,3.93,3.93,0,0,1-2.19.34,3.79,3.79,0,0,1-2-.94,3.73,3.73,0,0,1-1.14-1.9,3.79,3.79,0,0,1,.1-2.21,3.86,3.86,0,0,1,1.33-1.78,3.92,3.92,0,0,1,3.54-.53,3.85,3.85,0,0,1,2.14,1.93,3.74,3.74,0,0,1,.37,1.43Z" transform="translate(-1.87 -0.69)"/><path id="path11_fill" data-name="path11 fill" class="cls-4" d="M4.12,9.81A2.18,2.18,0,0,1,2.9,9.48a2.23,2.23,0,0,1-.84-1A2.26,2.26,0,0,1,1.9,7.26a2.13,2.13,0,0,1,.56-1.13,2.18,2.18,0,0,1,2.36-.56,2.13,2.13,0,0,1,1,.76,2.18,2.18,0,0,1,.42,1.2A2.22,2.22,0,0,1,4.12,9.81Z" transform="translate(-1.87 -0.69)"/></g><text class="cls-5" transform="translate(5.24 30.01)">Hub</text></svg>
diff --git a/_preview/40/_static/jquery-3.5.1.js b/_preview/40/_static/jquery-3.5.1.js
new file mode 100644
index 0000000..5093733
--- /dev/null
+++ b/_preview/40/_static/jquery-3.5.1.js
@@ -0,0 +1,10872 @@
+/*!
+ * jQuery JavaScript Library v3.5.1
+ * https://jquery.com/
+ *
+ * Includes Sizzle.js
+ * https://sizzlejs.com/
+ *
+ * Copyright JS Foundation and other contributors
+ * Released under the MIT license
+ * https://jquery.org/license
+ *
+ * Date: 2020-05-04T22:49Z
+ */
+( function( global, factory ) {
+
+	"use strict";
+
+	if ( typeof module === "object" && typeof module.exports === "object" ) {
+
+		// For CommonJS and CommonJS-like environments where a proper `window`
+		// is present, execute the factory and get jQuery.
+		// For environments that do not have a `window` with a `document`
+		// (such as Node.js), expose a factory as module.exports.
+		// This accentuates the need for the creation of a real `window`.
+		// e.g. var jQuery = require("jquery")(window);
+		// See ticket #14549 for more info.
+		module.exports = global.document ?
+			factory( global, true ) :
+			function( w ) {
+				if ( !w.document ) {
+					throw new Error( "jQuery requires a window with a document" );
+				}
+				return factory( w );
+			};
+	} else {
+		factory( global );
+	}
+
+// Pass this if window is not defined yet
+} )( typeof window !== "undefined" ? window : this, function( window, noGlobal ) {
+
+// Edge <= 12 - 13+, Firefox <=18 - 45+, IE 10 - 11, Safari 5.1 - 9+, iOS 6 - 9.1
+// throw exceptions when non-strict code (e.g., ASP.NET 4.5) accesses strict mode
+// arguments.callee.caller (trac-13335). But as of jQuery 3.0 (2016), strict mode should be common
+// enough that all such attempts are guarded in a try block.
+"use strict";
+
+var arr = [];
+
+var getProto = Object.getPrototypeOf;
+
+var slice = arr.slice;
+
+var flat = arr.flat ? function( array ) {
+	return arr.flat.call( array );
+} : function( array ) {
+	return arr.concat.apply( [], array );
+};
+
+
+var push = arr.push;
+
+var indexOf = arr.indexOf;
+
+var class2type = {};
+
+var toString = class2type.toString;
+
+var hasOwn = class2type.hasOwnProperty;
+
+var fnToString = hasOwn.toString;
+
+var ObjectFunctionString = fnToString.call( Object );
+
+var support = {};
+
+var isFunction = function isFunction( obj ) {
+
+      // Support: Chrome <=57, Firefox <=52
+      // In some browsers, typeof returns "function" for HTML <object> elements
+      // (i.e., `typeof document.createElement( "object" ) === "function"`).
+      // We don't want to classify *any* DOM node as a function.
+      return typeof obj === "function" && typeof obj.nodeType !== "number";
+  };
+
+
+var isWindow = function isWindow( obj ) {
+		return obj != null && obj === obj.window;
+	};
+
+
+var document = window.document;
+
+
+
+	var preservedScriptAttributes = {
+		type: true,
+		src: true,
+		nonce: true,
+		noModule: true
+	};
+
+	function DOMEval( code, node, doc ) {
+		doc = doc || document;
+
+		var i, val,
+			script = doc.createElement( "script" );
+
+		script.text = code;
+		if ( node ) {
+			for ( i in preservedScriptAttributes ) {
+
+				// Support: Firefox 64+, Edge 18+
+				// Some browsers don't support the "nonce" property on scripts.
+				// On the other hand, just using `getAttribute` is not enough as
+				// the `nonce` attribute is reset to an empty string whenever it
+				// becomes browsing-context connected.
+				// See https://github.com/whatwg/html/issues/2369
+				// See https://html.spec.whatwg.org/#nonce-attributes
+				// The `node.getAttribute` check was added for the sake of
+				// `jQuery.globalEval` so that it can fake a nonce-containing node
+				// via an object.
+				val = node[ i ] || node.getAttribute && node.getAttribute( i );
+				if ( val ) {
+					script.setAttribute( i, val );
+				}
+			}
+		}
+		doc.head.appendChild( script ).parentNode.removeChild( script );
+	}
+
+
+function toType( obj ) {
+	if ( obj == null ) {
+		return obj + "";
+	}
+
+	// Support: Android <=2.3 only (functionish RegExp)
+	return typeof obj === "object" || typeof obj === "function" ?
+		class2type[ toString.call( obj ) ] || "object" :
+		typeof obj;
+}
+/* global Symbol */
+// Defining this global in .eslintrc.json would create a danger of using the global
+// unguarded in another place, it seems safer to define global only for this module
+
+
+
+var
+	version = "3.5.1",
+
+	// Define a local copy of jQuery
+	jQuery = function( selector, context ) {
+
+		// The jQuery object is actually just the init constructor 'enhanced'
+		// Need init if jQuery is called (just allow error to be thrown if not included)
+		return new jQuery.fn.init( selector, context );
+	};
+
+jQuery.fn = jQuery.prototype = {
+
+	// The current version of jQuery being used
+	jquery: version,
+
+	constructor: jQuery,
+
+	// The default length of a jQuery object is 0
+	length: 0,
+
+	toArray: function() {
+		return slice.call( this );
+	},
+
+	// Get the Nth element in the matched element set OR
+	// Get the whole matched element set as a clean array
+	get: function( num ) {
+
+		// Return all the elements in a clean array
+		if ( num == null ) {
+			return slice.call( this );
+		}
+
+		// Return just the one element from the set
+		return num < 0 ? this[ num + this.length ] : this[ num ];
+	},
+
+	// Take an array of elements and push it onto the stack
+	// (returning the new matched element set)
+	pushStack: function( elems ) {
+
+		// Build a new jQuery matched element set
+		var ret = jQuery.merge( this.constructor(), elems );
+
+		// Add the old object onto the stack (as a reference)
+		ret.prevObject = this;
+
+		// Return the newly-formed element set
+		return ret;
+	},
+
+	// Execute a callback for every element in the matched set.
+	each: function( callback ) {
+		return jQuery.each( this, callback );
+	},
+
+	map: function( callback ) {
+		return this.pushStack( jQuery.map( this, function( elem, i ) {
+			return callback.call( elem, i, elem );
+		} ) );
+	},
+
+	slice: function() {
+		return this.pushStack( slice.apply( this, arguments ) );
+	},
+
+	first: function() {
+		return this.eq( 0 );
+	},
+
+	last: function() {
+		return this.eq( -1 );
+	},
+
+	even: function() {
+		return this.pushStack( jQuery.grep( this, function( _elem, i ) {
+			return ( i + 1 ) % 2;
+		} ) );
+	},
+
+	odd: function() {
+		return this.pushStack( jQuery.grep( this, function( _elem, i ) {
+			return i % 2;
+		} ) );
+	},
+
+	eq: function( i ) {
+		var len = this.length,
+			j = +i + ( i < 0 ? len : 0 );
+		return this.pushStack( j >= 0 && j < len ? [ this[ j ] ] : [] );
+	},
+
+	end: function() {
+		return this.prevObject || this.constructor();
+	},
+
+	// For internal use only.
+	// Behaves like an Array's method, not like a jQuery method.
+	push: push,
+	sort: arr.sort,
+	splice: arr.splice
+};
+
+jQuery.extend = jQuery.fn.extend = function() {
+	var options, name, src, copy, copyIsArray, clone,
+		target = arguments[ 0 ] || {},
+		i = 1,
+		length = arguments.length,
+		deep = false;
+
+	// Handle a deep copy situation
+	if ( typeof target === "boolean" ) {
+		deep = target;
+
+		// Skip the boolean and the target
+		target = arguments[ i ] || {};
+		i++;
+	}
+
+	// Handle case when target is a string or something (possible in deep copy)
+	if ( typeof target !== "object" && !isFunction( target ) ) {
+		target = {};
+	}
+
+	// Extend jQuery itself if only one argument is passed
+	if ( i === length ) {
+		target = this;
+		i--;
+	}
+
+	for ( ; i < length; i++ ) {
+
+		// Only deal with non-null/undefined values
+		if ( ( options = arguments[ i ] ) != null ) {
+
+			// Extend the base object
+			for ( name in options ) {
+				copy = options[ name ];
+
+				// Prevent Object.prototype pollution
+				// Prevent never-ending loop
+				if ( name === "__proto__" || target === copy ) {
+					continue;
+				}
+
+				// Recurse if we're merging plain objects or arrays
+				if ( deep && copy && ( jQuery.isPlainObject( copy ) ||
+					( copyIsArray = Array.isArray( copy ) ) ) ) {
+					src = target[ name ];
+
+					// Ensure proper type for the source value
+					if ( copyIsArray && !Array.isArray( src ) ) {
+						clone = [];
+					} else if ( !copyIsArray && !jQuery.isPlainObject( src ) ) {
+						clone = {};
+					} else {
+						clone = src;
+					}
+					copyIsArray = false;
+
+					// Never move original objects, clone them
+					target[ name ] = jQuery.extend( deep, clone, copy );
+
+				// Don't bring in undefined values
+				} else if ( copy !== undefined ) {
+					target[ name ] = copy;
+				}
+			}
+		}
+	}
+
+	// Return the modified object
+	return target;
+};
+
+jQuery.extend( {
+
+	// Unique for each copy of jQuery on the page
+	expando: "jQuery" + ( version + Math.random() ).replace( /\D/g, "" ),
+
+	// Assume jQuery is ready without the ready module
+	isReady: true,
+
+	error: function( msg ) {
+		throw new Error( msg );
+	},
+
+	noop: function() {},
+
+	isPlainObject: function( obj ) {
+		var proto, Ctor;
+
+		// Detect obvious negatives
+		// Use toString instead of jQuery.type to catch host objects
+		if ( !obj || toString.call( obj ) !== "[object Object]" ) {
+			return false;
+		}
+
+		proto = getProto( obj );
+
+		// Objects with no prototype (e.g., `Object.create( null )`) are plain
+		if ( !proto ) {
+			return true;
+		}
+
+		// Objects with prototype are plain iff they were constructed by a global Object function
+		Ctor = hasOwn.call( proto, "constructor" ) && proto.constructor;
+		return typeof Ctor === "function" && fnToString.call( Ctor ) === ObjectFunctionString;
+	},
+
+	isEmptyObject: function( obj ) {
+		var name;
+
+		for ( name in obj ) {
+			return false;
+		}
+		return true;
+	},
+
+	// Evaluates a script in a provided context; falls back to the global one
+	// if not specified.
+	globalEval: function( code, options, doc ) {
+		DOMEval( code, { nonce: options && options.nonce }, doc );
+	},
+
+	each: function( obj, callback ) {
+		var length, i = 0;
+
+		if ( isArrayLike( obj ) ) {
+			length = obj.length;
+			for ( ; i < length; i++ ) {
+				if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) {
+					break;
+				}
+			}
+		} else {
+			for ( i in obj ) {
+				if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) {
+					break;
+				}
+			}
+		}
+
+		return obj;
+	},
+
+	// results is for internal usage only
+	makeArray: function( arr, results ) {
+		var ret = results || [];
+
+		if ( arr != null ) {
+			if ( isArrayLike( Object( arr ) ) ) {
+				jQuery.merge( ret,
+					typeof arr === "string" ?
+					[ arr ] : arr
+				);
+			} else {
+				push.call( ret, arr );
+			}
+		}
+
+		return ret;
+	},
+
+	inArray: function( elem, arr, i ) {
+		return arr == null ? -1 : indexOf.call( arr, elem, i );
+	},
+
+	// Support: Android <=4.0 only, PhantomJS 1 only
+	// push.apply(_, arraylike) throws on ancient WebKit
+	merge: function( first, second ) {
+		var len = +second.length,
+			j = 0,
+			i = first.length;
+
+		for ( ; j < len; j++ ) {
+			first[ i++ ] = second[ j ];
+		}
+
+		first.length = i;
+
+		return first;
+	},
+
+	grep: function( elems, callback, invert ) {
+		var callbackInverse,
+			matches = [],
+			i = 0,
+			length = elems.length,
+			callbackExpect = !invert;
+
+		// Go through the array, only saving the items
+		// that pass the validator function
+		for ( ; i < length; i++ ) {
+			callbackInverse = !callback( elems[ i ], i );
+			if ( callbackInverse !== callbackExpect ) {
+				matches.push( elems[ i ] );
+			}
+		}
+
+		return matches;
+	},
+
+	// arg is for internal usage only
+	map: function( elems, callback, arg ) {
+		var length, value,
+			i = 0,
+			ret = [];
+
+		// Go through the array, translating each of the items to their new values
+		if ( isArrayLike( elems ) ) {
+			length = elems.length;
+			for ( ; i < length; i++ ) {
+				value = callback( elems[ i ], i, arg );
+
+				if ( value != null ) {
+					ret.push( value );
+				}
+			}
+
+		// Go through every key on the object,
+		} else {
+			for ( i in elems ) {
+				value = callback( elems[ i ], i, arg );
+
+				if ( value != null ) {
+					ret.push( value );
+				}
+			}
+		}
+
+		// Flatten any nested arrays
+		return flat( ret );
+	},
+
+	// A global GUID counter for objects
+	guid: 1,
+
+	// jQuery.support is not used in Core but other projects attach their
+	// properties to it so it needs to exist.
+	support: support
+} );
+
+if ( typeof Symbol === "function" ) {
+	jQuery.fn[ Symbol.iterator ] = arr[ Symbol.iterator ];
+}
+
+// Populate the class2type map
+jQuery.each( "Boolean Number String Function Array Date RegExp Object Error Symbol".split( " " ),
+function( _i, name ) {
+	class2type[ "[object " + name + "]" ] = name.toLowerCase();
+} );
+
+function isArrayLike( obj ) {
+
+	// Support: real iOS 8.2 only (not reproducible in simulator)
+	// `in` check used to prevent JIT error (gh-2145)
+	// hasOwn isn't used here due to false negatives
+	// regarding Nodelist length in IE
+	var length = !!obj && "length" in obj && obj.length,
+		type = toType( obj );
+
+	if ( isFunction( obj ) || isWindow( obj ) ) {
+		return false;
+	}
+
+	return type === "array" || length === 0 ||
+		typeof length === "number" && length > 0 && ( length - 1 ) in obj;
+}
+var Sizzle =
+/*!
+ * Sizzle CSS Selector Engine v2.3.5
+ * https://sizzlejs.com/
+ *
+ * Copyright JS Foundation and other contributors
+ * Released under the MIT license
+ * https://js.foundation/
+ *
+ * Date: 2020-03-14
+ */
+( function( window ) {
+var i,
+	support,
+	Expr,
+	getText,
+	isXML,
+	tokenize,
+	compile,
+	select,
+	outermostContext,
+	sortInput,
+	hasDuplicate,
+
+	// Local document vars
+	setDocument,
+	document,
+	docElem,
+	documentIsHTML,
+	rbuggyQSA,
+	rbuggyMatches,
+	matches,
+	contains,
+
+	// Instance-specific data
+	expando = "sizzle" + 1 * new Date(),
+	preferredDoc = window.document,
+	dirruns = 0,
+	done = 0,
+	classCache = createCache(),
+	tokenCache = createCache(),
+	compilerCache = createCache(),
+	nonnativeSelectorCache = createCache(),
+	sortOrder = function( a, b ) {
+		if ( a === b ) {
+			hasDuplicate = true;
+		}
+		return 0;
+	},
+
+	// Instance methods
+	hasOwn = ( {} ).hasOwnProperty,
+	arr = [],
+	pop = arr.pop,
+	pushNative = arr.push,
+	push = arr.push,
+	slice = arr.slice,
+
+	// Use a stripped-down indexOf as it's faster than native
+	// https://jsperf.com/thor-indexof-vs-for/5
+	indexOf = function( list, elem ) {
+		var i = 0,
+			len = list.length;
+		for ( ; i < len; i++ ) {
+			if ( list[ i ] === elem ) {
+				return i;
+			}
+		}
+		return -1;
+	},
+
+	booleans = "checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|" +
+		"ismap|loop|multiple|open|readonly|required|scoped",
+
+	// Regular expressions
+
+	// http://www.w3.org/TR/css3-selectors/#whitespace
+	whitespace = "[\\x20\\t\\r\\n\\f]",
+
+	// https://www.w3.org/TR/css-syntax-3/#ident-token-diagram
+	identifier = "(?:\\\\[\\da-fA-F]{1,6}" + whitespace +
+		"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",
+
+	// Attribute selectors: http://www.w3.org/TR/selectors/#attribute-selectors
+	attributes = "\\[" + whitespace + "*(" + identifier + ")(?:" + whitespace +
+
+		// Operator (capture 2)
+		"*([*^$|!~]?=)" + whitespace +
+
+		// "Attribute values must be CSS identifiers [capture 5]
+		// or strings [capture 3 or capture 4]"
+		"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|(" + identifier + "))|)" +
+		whitespace + "*\\]",
+
+	pseudos = ":(" + identifier + ")(?:\\((" +
+
+		// To reduce the number of selectors needing tokenize in the preFilter, prefer arguments:
+		// 1. quoted (capture 3; capture 4 or capture 5)
+		"('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|" +
+
+		// 2. simple (capture 6)
+		"((?:\\\\.|[^\\\\()[\\]]|" + attributes + ")*)|" +
+
+		// 3. anything else (capture 2)
+		".*" +
+		")\\)|)",
+
+	// Leading and non-escaped trailing whitespace, capturing some non-whitespace characters preceding the latter
+	rwhitespace = new RegExp( whitespace + "+", "g" ),
+	rtrim = new RegExp( "^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" +
+		whitespace + "+$", "g" ),
+
+	rcomma = new RegExp( "^" + whitespace + "*," + whitespace + "*" ),
+	rcombinators = new RegExp( "^" + whitespace + "*([>+~]|" + whitespace + ")" + whitespace +
+		"*" ),
+	rdescend = new RegExp( whitespace + "|>" ),
+
+	rpseudo = new RegExp( pseudos ),
+	ridentifier = new RegExp( "^" + identifier + "$" ),
+
+	matchExpr = {
+		"ID": new RegExp( "^#(" + identifier + ")" ),
+		"CLASS": new RegExp( "^\\.(" + identifier + ")" ),
+		"TAG": new RegExp( "^(" + identifier + "|[*])" ),
+		"ATTR": new RegExp( "^" + attributes ),
+		"PSEUDO": new RegExp( "^" + pseudos ),
+		"CHILD": new RegExp( "^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\(" +
+			whitespace + "*(even|odd|(([+-]|)(\\d*)n|)" + whitespace + "*(?:([+-]|)" +
+			whitespace + "*(\\d+)|))" + whitespace + "*\\)|)", "i" ),
+		"bool": new RegExp( "^(?:" + booleans + ")$", "i" ),
+
+		// For use in libraries implementing .is()
+		// We use this for POS matching in `select`
+		"needsContext": new RegExp( "^" + whitespace +
+			"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\(" + whitespace +
+			"*((?:-\\d)?\\d*)" + whitespace + "*\\)|)(?=[^-]|$)", "i" )
+	},
+
+	rhtml = /HTML$/i,
+	rinputs = /^(?:input|select|textarea|button)$/i,
+	rheader = /^h\d$/i,
+
+	rnative = /^[^{]+\{\s*\[native \w/,
+
+	// Easily-parseable/retrievable ID or TAG or CLASS selectors
+	rquickExpr = /^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,
+
+	rsibling = /[+~]/,
+
+	// CSS escapes
+	// http://www.w3.org/TR/CSS21/syndata.html#escaped-characters
+	runescape = new RegExp( "\\\\[\\da-fA-F]{1,6}" + whitespace + "?|\\\\([^\\r\\n\\f])", "g" ),
+	funescape = function( escape, nonHex ) {
+		var high = "0x" + escape.slice( 1 ) - 0x10000;
+
+		return nonHex ?
+
+			// Strip the backslash prefix from a non-hex escape sequence
+			nonHex :
+
+			// Replace a hexadecimal escape sequence with the encoded Unicode code point
+			// Support: IE <=11+
+			// For values outside the Basic Multilingual Plane (BMP), manually construct a
+			// surrogate pair
+			high < 0 ?
+				String.fromCharCode( high + 0x10000 ) :
+				String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 );
+	},
+
+	// CSS string/identifier serialization
+	// https://drafts.csswg.org/cssom/#common-serializing-idioms
+	rcssescape = /([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,
+	fcssescape = function( ch, asCodePoint ) {
+		if ( asCodePoint ) {
+
+			// U+0000 NULL becomes U+FFFD REPLACEMENT CHARACTER
+			if ( ch === "\0" ) {
+				return "\uFFFD";
+			}
+
+			// Control characters and (dependent upon position) numbers get escaped as code points
+			return ch.slice( 0, -1 ) + "\\" +
+				ch.charCodeAt( ch.length - 1 ).toString( 16 ) + " ";
+		}
+
+		// Other potentially-special ASCII characters get backslash-escaped
+		return "\\" + ch;
+	},
+
+	// Used for iframes
+	// See setDocument()
+	// Removing the function wrapper causes a "Permission Denied"
+	// error in IE
+	unloadHandler = function() {
+		setDocument();
+	},
+
+	inDisabledFieldset = addCombinator(
+		function( elem ) {
+			return elem.disabled === true && elem.nodeName.toLowerCase() === "fieldset";
+		},
+		{ dir: "parentNode", next: "legend" }
+	);
+
+// Optimize for push.apply( _, NodeList )
+try {
+	push.apply(
+		( arr = slice.call( preferredDoc.childNodes ) ),
+		preferredDoc.childNodes
+	);
+
+	// Support: Android<4.0
+	// Detect silently failing push.apply
+	// eslint-disable-next-line no-unused-expressions
+	arr[ preferredDoc.childNodes.length ].nodeType;
+} catch ( e ) {
+	push = { apply: arr.length ?
+
+		// Leverage slice if possible
+		function( target, els ) {
+			pushNative.apply( target, slice.call( els ) );
+		} :
+
+		// Support: IE<9
+		// Otherwise append directly
+		function( target, els ) {
+			var j = target.length,
+				i = 0;
+
+			// Can't trust NodeList.length
+			while ( ( target[ j++ ] = els[ i++ ] ) ) {}
+			target.length = j - 1;
+		}
+	};
+}
+
+function Sizzle( selector, context, results, seed ) {
+	var m, i, elem, nid, match, groups, newSelector,
+		newContext = context && context.ownerDocument,
+
+		// nodeType defaults to 9, since context defaults to document
+		nodeType = context ? context.nodeType : 9;
+
+	results = results || [];
+
+	// Return early from calls with invalid selector or context
+	if ( typeof selector !== "string" || !selector ||
+		nodeType !== 1 && nodeType !== 9 && nodeType !== 11 ) {
+
+		return results;
+	}
+
+	// Try to shortcut find operations (as opposed to filters) in HTML documents
+	if ( !seed ) {
+		setDocument( context );
+		context = context || document;
+
+		if ( documentIsHTML ) {
+
+			// If the selector is sufficiently simple, try using a "get*By*" DOM method
+			// (excepting DocumentFragment context, where the methods don't exist)
+			if ( nodeType !== 11 && ( match = rquickExpr.exec( selector ) ) ) {
+
+				// ID selector
+				if ( ( m = match[ 1 ] ) ) {
+
+					// Document context
+					if ( nodeType === 9 ) {
+						if ( ( elem = context.getElementById( m ) ) ) {
+
+							// Support: IE, Opera, Webkit
+							// TODO: identify versions
+							// getElementById can match elements by name instead of ID
+							if ( elem.id === m ) {
+								results.push( elem );
+								return results;
+							}
+						} else {
+							return results;
+						}
+
+					// Element context
+					} else {
+
+						// Support: IE, Opera, Webkit
+						// TODO: identify versions
+						// getElementById can match elements by name instead of ID
+						if ( newContext && ( elem = newContext.getElementById( m ) ) &&
+							contains( context, elem ) &&
+							elem.id === m ) {
+
+							results.push( elem );
+							return results;
+						}
+					}
+
+				// Type selector
+				} else if ( match[ 2 ] ) {
+					push.apply( results, context.getElementsByTagName( selector ) );
+					return results;
+
+				// Class selector
+				} else if ( ( m = match[ 3 ] ) && support.getElementsByClassName &&
+					context.getElementsByClassName ) {
+
+					push.apply( results, context.getElementsByClassName( m ) );
+					return results;
+				}
+			}
+
+			// Take advantage of querySelectorAll
+			if ( support.qsa &&
+				!nonnativeSelectorCache[ selector + " " ] &&
+				( !rbuggyQSA || !rbuggyQSA.test( selector ) ) &&
+
+				// Support: IE 8 only
+				// Exclude object elements
+				( nodeType !== 1 || context.nodeName.toLowerCase() !== "object" ) ) {
+
+				newSelector = selector;
+				newContext = context;
+
+				// qSA considers elements outside a scoping root when evaluating child or
+				// descendant combinators, which is not what we want.
+				// In such cases, we work around the behavior by prefixing every selector in the
+				// list with an ID selector referencing the scope context.
+				// The technique has to be used as well when a leading combinator is used
+				// as such selectors are not recognized by querySelectorAll.
+				// Thanks to Andrew Dupont for this technique.
+				if ( nodeType === 1 &&
+					( rdescend.test( selector ) || rcombinators.test( selector ) ) ) {
+
+					// Expand context for sibling selectors
+					newContext = rsibling.test( selector ) && testContext( context.parentNode ) ||
+						context;
+
+					// We can use :scope instead of the ID hack if the browser
+					// supports it & if we're not changing the context.
+					if ( newContext !== context || !support.scope ) {
+
+						// Capture the context ID, setting it first if necessary
+						if ( ( nid = context.getAttribute( "id" ) ) ) {
+							nid = nid.replace( rcssescape, fcssescape );
+						} else {
+							context.setAttribute( "id", ( nid = expando ) );
+						}
+					}
+
+					// Prefix every selector in the list
+					groups = tokenize( selector );
+					i = groups.length;
+					while ( i-- ) {
+						groups[ i ] = ( nid ? "#" + nid : ":scope" ) + " " +
+							toSelector( groups[ i ] );
+					}
+					newSelector = groups.join( "," );
+				}
+
+				try {
+					push.apply( results,
+						newContext.querySelectorAll( newSelector )
+					);
+					return results;
+				} catch ( qsaError ) {
+					nonnativeSelectorCache( selector, true );
+				} finally {
+					if ( nid === expando ) {
+						context.removeAttribute( "id" );
+					}
+				}
+			}
+		}
+	}
+
+	// All others
+	return select( selector.replace( rtrim, "$1" ), context, results, seed );
+}
+
+/**
+ * Create key-value caches of limited size
+ * @returns {function(string, object)} Returns the Object data after storing it on itself with
+ *	property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength)
+ *	deleting the oldest entry
+ */
+function createCache() {
+	var keys = [];
+
+	function cache( key, value ) {
+
+		// Use (key + " ") to avoid collision with native prototype properties (see Issue #157)
+		if ( keys.push( key + " " ) > Expr.cacheLength ) {
+
+			// Only keep the most recent entries
+			delete cache[ keys.shift() ];
+		}
+		return ( cache[ key + " " ] = value );
+	}
+	return cache;
+}
+
+/**
+ * Mark a function for special use by Sizzle
+ * @param {Function} fn The function to mark
+ */
+function markFunction( fn ) {
+	fn[ expando ] = true;
+	return fn;
+}
+
+/**
+ * Support testing using an element
+ * @param {Function} fn Passed the created element and returns a boolean result
+ */
+function assert( fn ) {
+	var el = document.createElement( "fieldset" );
+
+	try {
+		return !!fn( el );
+	} catch ( e ) {
+		return false;
+	} finally {
+
+		// Remove from its parent by default
+		if ( el.parentNode ) {
+			el.parentNode.removeChild( el );
+		}
+
+		// release memory in IE
+		el = null;
+	}
+}
+
+/**
+ * Adds the same handler for all of the specified attrs
+ * @param {String} attrs Pipe-separated list of attributes
+ * @param {Function} handler The method that will be applied
+ */
+function addHandle( attrs, handler ) {
+	var arr = attrs.split( "|" ),
+		i = arr.length;
+
+	while ( i-- ) {
+		Expr.attrHandle[ arr[ i ] ] = handler;
+	}
+}
+
+/**
+ * Checks document order of two siblings
+ * @param {Element} a
+ * @param {Element} b
+ * @returns {Number} Returns less than 0 if a precedes b, greater than 0 if a follows b
+ */
+function siblingCheck( a, b ) {
+	var cur = b && a,
+		diff = cur && a.nodeType === 1 && b.nodeType === 1 &&
+			a.sourceIndex - b.sourceIndex;
+
+	// Use IE sourceIndex if available on both nodes
+	if ( diff ) {
+		return diff;
+	}
+
+	// Check if b follows a
+	if ( cur ) {
+		while ( ( cur = cur.nextSibling ) ) {
+			if ( cur === b ) {
+				return -1;
+			}
+		}
+	}
+
+	return a ? 1 : -1;
+}
+
+/**
+ * Returns a function to use in pseudos for input types
+ * @param {String} type
+ */
+function createInputPseudo( type ) {
+	return function( elem ) {
+		var name = elem.nodeName.toLowerCase();
+		return name === "input" && elem.type === type;
+	};
+}
+
+/**
+ * Returns a function to use in pseudos for buttons
+ * @param {String} type
+ */
+function createButtonPseudo( type ) {
+	return function( elem ) {
+		var name = elem.nodeName.toLowerCase();
+		return ( name === "input" || name === "button" ) && elem.type === type;
+	};
+}
+
+/**
+ * Returns a function to use in pseudos for :enabled/:disabled
+ * @param {Boolean} disabled true for :disabled; false for :enabled
+ */
+function createDisabledPseudo( disabled ) {
+
+	// Known :disabled false positives: fieldset[disabled] > legend:nth-of-type(n+2) :can-disable
+	return function( elem ) {
+
+		// Only certain elements can match :enabled or :disabled
+		// https://html.spec.whatwg.org/multipage/scripting.html#selector-enabled
+		// https://html.spec.whatwg.org/multipage/scripting.html#selector-disabled
+		if ( "form" in elem ) {
+
+			// Check for inherited disabledness on relevant non-disabled elements:
+			// * listed form-associated elements in a disabled fieldset
+			//   https://html.spec.whatwg.org/multipage/forms.html#category-listed
+			//   https://html.spec.whatwg.org/multipage/forms.html#concept-fe-disabled
+			// * option elements in a disabled optgroup
+			//   https://html.spec.whatwg.org/multipage/forms.html#concept-option-disabled
+			// All such elements have a "form" property.
+			if ( elem.parentNode && elem.disabled === false ) {
+
+				// Option elements defer to a parent optgroup if present
+				if ( "label" in elem ) {
+					if ( "label" in elem.parentNode ) {
+						return elem.parentNode.disabled === disabled;
+					} else {
+						return elem.disabled === disabled;
+					}
+				}
+
+				// Support: IE 6 - 11
+				// Use the isDisabled shortcut property to check for disabled fieldset ancestors
+				return elem.isDisabled === disabled ||
+
+					// Where there is no isDisabled, check manually
+					/* jshint -W018 */
+					elem.isDisabled !== !disabled &&
+					inDisabledFieldset( elem ) === disabled;
+			}
+
+			return elem.disabled === disabled;
+
+		// Try to winnow out elements that can't be disabled before trusting the disabled property.
+		// Some victims get caught in our net (label, legend, menu, track), but it shouldn't
+		// even exist on them, let alone have a boolean value.
+		} else if ( "label" in elem ) {
+			return elem.disabled === disabled;
+		}
+
+		// Remaining elements are neither :enabled nor :disabled
+		return false;
+	};
+}
+
+/**
+ * Returns a function to use in pseudos for positionals
+ * @param {Function} fn
+ */
+function createPositionalPseudo( fn ) {
+	return markFunction( function( argument ) {
+		argument = +argument;
+		return markFunction( function( seed, matches ) {
+			var j,
+				matchIndexes = fn( [], seed.length, argument ),
+				i = matchIndexes.length;
+
+			// Match elements found at the specified indexes
+			while ( i-- ) {
+				if ( seed[ ( j = matchIndexes[ i ] ) ] ) {
+					seed[ j ] = !( matches[ j ] = seed[ j ] );
+				}
+			}
+		} );
+	} );
+}
+
+/**
+ * Checks a node for validity as a Sizzle context
+ * @param {Element|Object=} context
+ * @returns {Element|Object|Boolean} The input node if acceptable, otherwise a falsy value
+ */
+function testContext( context ) {
+	return context && typeof context.getElementsByTagName !== "undefined" && context;
+}
+
+// Expose support vars for convenience
+support = Sizzle.support = {};
+
+/**
+ * Detects XML nodes
+ * @param {Element|Object} elem An element or a document
+ * @returns {Boolean} True iff elem is a non-HTML XML node
+ */
+isXML = Sizzle.isXML = function( elem ) {
+	var namespace = elem.namespaceURI,
+		docElem = ( elem.ownerDocument || elem ).documentElement;
+
+	// Support: IE <=8
+	// Assume HTML when documentElement doesn't yet exist, such as inside loading iframes
+	// https://bugs.jquery.com/ticket/4833
+	return !rhtml.test( namespace || docElem && docElem.nodeName || "HTML" );
+};
+
+/**
+ * Sets document-related variables once based on the current document
+ * @param {Element|Object} [doc] An element or document object to use to set the document
+ * @returns {Object} Returns the current document
+ */
+setDocument = Sizzle.setDocument = function( node ) {
+	var hasCompare, subWindow,
+		doc = node ? node.ownerDocument || node : preferredDoc;
+
+	// Return early if doc is invalid or already selected
+	// Support: IE 11+, Edge 17 - 18+
+	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+	// two documents; shallow comparisons work.
+	// eslint-disable-next-line eqeqeq
+	if ( doc == document || doc.nodeType !== 9 || !doc.documentElement ) {
+		return document;
+	}
+
+	// Update global variables
+	document = doc;
+	docElem = document.documentElement;
+	documentIsHTML = !isXML( document );
+
+	// Support: IE 9 - 11+, Edge 12 - 18+
+	// Accessing iframe documents after unload throws "permission denied" errors (jQuery #13936)
+	// Support: IE 11+, Edge 17 - 18+
+	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+	// two documents; shallow comparisons work.
+	// eslint-disable-next-line eqeqeq
+	if ( preferredDoc != document &&
+		( subWindow = document.defaultView ) && subWindow.top !== subWindow ) {
+
+		// Support: IE 11, Edge
+		if ( subWindow.addEventListener ) {
+			subWindow.addEventListener( "unload", unloadHandler, false );
+
+		// Support: IE 9 - 10 only
+		} else if ( subWindow.attachEvent ) {
+			subWindow.attachEvent( "onunload", unloadHandler );
+		}
+	}
+
+	// Support: IE 8 - 11+, Edge 12 - 18+, Chrome <=16 - 25 only, Firefox <=3.6 - 31 only,
+	// Safari 4 - 5 only, Opera <=11.6 - 12.x only
+	// IE/Edge & older browsers don't support the :scope pseudo-class.
+	// Support: Safari 6.0 only
+	// Safari 6.0 supports :scope but it's an alias of :root there.
+	support.scope = assert( function( el ) {
+		docElem.appendChild( el ).appendChild( document.createElement( "div" ) );
+		return typeof el.querySelectorAll !== "undefined" &&
+			!el.querySelectorAll( ":scope fieldset div" ).length;
+	} );
+
+	/* Attributes
+	---------------------------------------------------------------------- */
+
+	// Support: IE<8
+	// Verify that getAttribute really returns attributes and not properties
+	// (excepting IE8 booleans)
+	support.attributes = assert( function( el ) {
+		el.className = "i";
+		return !el.getAttribute( "className" );
+	} );
+
+	/* getElement(s)By*
+	---------------------------------------------------------------------- */
+
+	// Check if getElementsByTagName("*") returns only elements
+	support.getElementsByTagName = assert( function( el ) {
+		el.appendChild( document.createComment( "" ) );
+		return !el.getElementsByTagName( "*" ).length;
+	} );
+
+	// Support: IE<9
+	support.getElementsByClassName = rnative.test( document.getElementsByClassName );
+
+	// Support: IE<10
+	// Check if getElementById returns elements by name
+	// The broken getElementById methods don't pick up programmatically-set names,
+	// so use a roundabout getElementsByName test
+	support.getById = assert( function( el ) {
+		docElem.appendChild( el ).id = expando;
+		return !document.getElementsByName || !document.getElementsByName( expando ).length;
+	} );
+
+	// ID filter and find
+	if ( support.getById ) {
+		Expr.filter[ "ID" ] = function( id ) {
+			var attrId = id.replace( runescape, funescape );
+			return function( elem ) {
+				return elem.getAttribute( "id" ) === attrId;
+			};
+		};
+		Expr.find[ "ID" ] = function( id, context ) {
+			if ( typeof context.getElementById !== "undefined" && documentIsHTML ) {
+				var elem = context.getElementById( id );
+				return elem ? [ elem ] : [];
+			}
+		};
+	} else {
+		Expr.filter[ "ID" ] =  function( id ) {
+			var attrId = id.replace( runescape, funescape );
+			return function( elem ) {
+				var node = typeof elem.getAttributeNode !== "undefined" &&
+					elem.getAttributeNode( "id" );
+				return node && node.value === attrId;
+			};
+		};
+
+		// Support: IE 6 - 7 only
+		// getElementById is not reliable as a find shortcut
+		Expr.find[ "ID" ] = function( id, context ) {
+			if ( typeof context.getElementById !== "undefined" && documentIsHTML ) {
+				var node, i, elems,
+					elem = context.getElementById( id );
+
+				if ( elem ) {
+
+					// Verify the id attribute
+					node = elem.getAttributeNode( "id" );
+					if ( node && node.value === id ) {
+						return [ elem ];
+					}
+
+					// Fall back on getElementsByName
+					elems = context.getElementsByName( id );
+					i = 0;
+					while ( ( elem = elems[ i++ ] ) ) {
+						node = elem.getAttributeNode( "id" );
+						if ( node && node.value === id ) {
+							return [ elem ];
+						}
+					}
+				}
+
+				return [];
+			}
+		};
+	}
+
+	// Tag
+	Expr.find[ "TAG" ] = support.getElementsByTagName ?
+		function( tag, context ) {
+			if ( typeof context.getElementsByTagName !== "undefined" ) {
+				return context.getElementsByTagName( tag );
+
+			// DocumentFragment nodes don't have gEBTN
+			} else if ( support.qsa ) {
+				return context.querySelectorAll( tag );
+			}
+		} :
+
+		function( tag, context ) {
+			var elem,
+				tmp = [],
+				i = 0,
+
+				// By happy coincidence, a (broken) gEBTN appears on DocumentFragment nodes too
+				results = context.getElementsByTagName( tag );
+
+			// Filter out possible comments
+			if ( tag === "*" ) {
+				while ( ( elem = results[ i++ ] ) ) {
+					if ( elem.nodeType === 1 ) {
+						tmp.push( elem );
+					}
+				}
+
+				return tmp;
+			}
+			return results;
+		};
+
+	// Class
+	Expr.find[ "CLASS" ] = support.getElementsByClassName && function( className, context ) {
+		if ( typeof context.getElementsByClassName !== "undefined" && documentIsHTML ) {
+			return context.getElementsByClassName( className );
+		}
+	};
+
+	/* QSA/matchesSelector
+	---------------------------------------------------------------------- */
+
+	// QSA and matchesSelector support
+
+	// matchesSelector(:active) reports false when true (IE9/Opera 11.5)
+	rbuggyMatches = [];
+
+	// qSa(:focus) reports false when true (Chrome 21)
+	// We allow this because of a bug in IE8/9 that throws an error
+	// whenever `document.activeElement` is accessed on an iframe
+	// So, we allow :focus to pass through QSA all the time to avoid the IE error
+	// See https://bugs.jquery.com/ticket/13378
+	rbuggyQSA = [];
+
+	if ( ( support.qsa = rnative.test( document.querySelectorAll ) ) ) {
+
+		// Build QSA regex
+		// Regex strategy adopted from Diego Perini
+		assert( function( el ) {
+
+			var input;
+
+			// Select is set to empty string on purpose
+			// This is to test IE's treatment of not explicitly
+			// setting a boolean content attribute,
+			// since its presence should be enough
+			// https://bugs.jquery.com/ticket/12359
+			docElem.appendChild( el ).innerHTML = "<a id='" + expando + "'></a>" +
+				"<select id='" + expando + "-\r\\' msallowcapture=''>" +
+				"<option selected=''></option></select>";
+
+			// Support: IE8, Opera 11-12.16
+			// Nothing should be selected when empty strings follow ^= or $= or *=
+			// The test attribute must be unknown in Opera but "safe" for WinRT
+			// https://msdn.microsoft.com/en-us/library/ie/hh465388.aspx#attribute_section
+			if ( el.querySelectorAll( "[msallowcapture^='']" ).length ) {
+				rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" );
+			}
+
+			// Support: IE8
+			// Boolean attributes and "value" are not treated correctly
+			if ( !el.querySelectorAll( "[selected]" ).length ) {
+				rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" );
+			}
+
+			// Support: Chrome<29, Android<4.4, Safari<7.0+, iOS<7.0+, PhantomJS<1.9.8+
+			if ( !el.querySelectorAll( "[id~=" + expando + "-]" ).length ) {
+				rbuggyQSA.push( "~=" );
+			}
+
+			// Support: IE 11+, Edge 15 - 18+
+			// IE 11/Edge don't find elements on a `[name='']` query in some cases.
+			// Adding a temporary attribute to the document before the selection works
+			// around the issue.
+			// Interestingly, IE 10 & older don't seem to have the issue.
+			input = document.createElement( "input" );
+			input.setAttribute( "name", "" );
+			el.appendChild( input );
+			if ( !el.querySelectorAll( "[name='']" ).length ) {
+				rbuggyQSA.push( "\\[" + whitespace + "*name" + whitespace + "*=" +
+					whitespace + "*(?:''|\"\")" );
+			}
+
+			// Webkit/Opera - :checked should return selected option elements
+			// http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked
+			// IE8 throws error here and will not see later tests
+			if ( !el.querySelectorAll( ":checked" ).length ) {
+				rbuggyQSA.push( ":checked" );
+			}
+
+			// Support: Safari 8+, iOS 8+
+			// https://bugs.webkit.org/show_bug.cgi?id=136851
+			// In-page `selector#id sibling-combinator selector` fails
+			if ( !el.querySelectorAll( "a#" + expando + "+*" ).length ) {
+				rbuggyQSA.push( ".#.+[+~]" );
+			}
+
+			// Support: Firefox <=3.6 - 5 only
+			// Old Firefox doesn't throw on a badly-escaped identifier.
+			el.querySelectorAll( "\\\f" );
+			rbuggyQSA.push( "[\\r\\n\\f]" );
+		} );
+
+		assert( function( el ) {
+			el.innerHTML = "<a href='' disabled='disabled'></a>" +
+				"<select disabled='disabled'><option/></select>";
+
+			// Support: Windows 8 Native Apps
+			// The type and name attributes are restricted during .innerHTML assignment
+			var input = document.createElement( "input" );
+			input.setAttribute( "type", "hidden" );
+			el.appendChild( input ).setAttribute( "name", "D" );
+
+			// Support: IE8
+			// Enforce case-sensitivity of name attribute
+			if ( el.querySelectorAll( "[name=d]" ).length ) {
+				rbuggyQSA.push( "name" + whitespace + "*[*^$|!~]?=" );
+			}
+
+			// FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled)
+			// IE8 throws error here and will not see later tests
+			if ( el.querySelectorAll( ":enabled" ).length !== 2 ) {
+				rbuggyQSA.push( ":enabled", ":disabled" );
+			}
+
+			// Support: IE9-11+
+			// IE's :disabled selector does not pick up the children of disabled fieldsets
+			docElem.appendChild( el ).disabled = true;
+			if ( el.querySelectorAll( ":disabled" ).length !== 2 ) {
+				rbuggyQSA.push( ":enabled", ":disabled" );
+			}
+
+			// Support: Opera 10 - 11 only
+			// Opera 10-11 does not throw on post-comma invalid pseudos
+			el.querySelectorAll( "*,:x" );
+			rbuggyQSA.push( ",.*:" );
+		} );
+	}
+
+	if ( ( support.matchesSelector = rnative.test( ( matches = docElem.matches ||
+		docElem.webkitMatchesSelector ||
+		docElem.mozMatchesSelector ||
+		docElem.oMatchesSelector ||
+		docElem.msMatchesSelector ) ) ) ) {
+
+		assert( function( el ) {
+
+			// Check to see if it's possible to do matchesSelector
+			// on a disconnected node (IE 9)
+			support.disconnectedMatch = matches.call( el, "*" );
+
+			// This should fail with an exception
+			// Gecko does not error, returns false instead
+			matches.call( el, "[s!='']:x" );
+			rbuggyMatches.push( "!=", pseudos );
+		} );
+	}
+
+	rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join( "|" ) );
+	rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join( "|" ) );
+
+	/* Contains
+	---------------------------------------------------------------------- */
+	hasCompare = rnative.test( docElem.compareDocumentPosition );
+
+	// Element contains another
+	// Purposefully self-exclusive
+	// As in, an element does not contain itself
+	contains = hasCompare || rnative.test( docElem.contains ) ?
+		function( a, b ) {
+			var adown = a.nodeType === 9 ? a.documentElement : a,
+				bup = b && b.parentNode;
+			return a === bup || !!( bup && bup.nodeType === 1 && (
+				adown.contains ?
+					adown.contains( bup ) :
+					a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16
+			) );
+		} :
+		function( a, b ) {
+			if ( b ) {
+				while ( ( b = b.parentNode ) ) {
+					if ( b === a ) {
+						return true;
+					}
+				}
+			}
+			return false;
+		};
+
+	/* Sorting
+	---------------------------------------------------------------------- */
+
+	// Document order sorting
+	sortOrder = hasCompare ?
+	function( a, b ) {
+
+		// Flag for duplicate removal
+		if ( a === b ) {
+			hasDuplicate = true;
+			return 0;
+		}
+
+		// Sort on method existence if only one input has compareDocumentPosition
+		var compare = !a.compareDocumentPosition - !b.compareDocumentPosition;
+		if ( compare ) {
+			return compare;
+		}
+
+		// Calculate position if both inputs belong to the same document
+		// Support: IE 11+, Edge 17 - 18+
+		// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+		// two documents; shallow comparisons work.
+		// eslint-disable-next-line eqeqeq
+		compare = ( a.ownerDocument || a ) == ( b.ownerDocument || b ) ?
+			a.compareDocumentPosition( b ) :
+
+			// Otherwise we know they are disconnected
+			1;
+
+		// Disconnected nodes
+		if ( compare & 1 ||
+			( !support.sortDetached && b.compareDocumentPosition( a ) === compare ) ) {
+
+			// Choose the first element that is related to our preferred document
+			// Support: IE 11+, Edge 17 - 18+
+			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+			// two documents; shallow comparisons work.
+			// eslint-disable-next-line eqeqeq
+			if ( a == document || a.ownerDocument == preferredDoc &&
+				contains( preferredDoc, a ) ) {
+				return -1;
+			}
+
+			// Support: IE 11+, Edge 17 - 18+
+			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+			// two documents; shallow comparisons work.
+			// eslint-disable-next-line eqeqeq
+			if ( b == document || b.ownerDocument == preferredDoc &&
+				contains( preferredDoc, b ) ) {
+				return 1;
+			}
+
+			// Maintain original order
+			return sortInput ?
+				( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) :
+				0;
+		}
+
+		return compare & 4 ? -1 : 1;
+	} :
+	function( a, b ) {
+
+		// Exit early if the nodes are identical
+		if ( a === b ) {
+			hasDuplicate = true;
+			return 0;
+		}
+
+		var cur,
+			i = 0,
+			aup = a.parentNode,
+			bup = b.parentNode,
+			ap = [ a ],
+			bp = [ b ];
+
+		// Parentless nodes are either documents or disconnected
+		if ( !aup || !bup ) {
+
+			// Support: IE 11+, Edge 17 - 18+
+			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+			// two documents; shallow comparisons work.
+			/* eslint-disable eqeqeq */
+			return a == document ? -1 :
+				b == document ? 1 :
+				/* eslint-enable eqeqeq */
+				aup ? -1 :
+				bup ? 1 :
+				sortInput ?
+				( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) :
+				0;
+
+		// If the nodes are siblings, we can do a quick check
+		} else if ( aup === bup ) {
+			return siblingCheck( a, b );
+		}
+
+		// Otherwise we need full lists of their ancestors for comparison
+		cur = a;
+		while ( ( cur = cur.parentNode ) ) {
+			ap.unshift( cur );
+		}
+		cur = b;
+		while ( ( cur = cur.parentNode ) ) {
+			bp.unshift( cur );
+		}
+
+		// Walk down the tree looking for a discrepancy
+		while ( ap[ i ] === bp[ i ] ) {
+			i++;
+		}
+
+		return i ?
+
+			// Do a sibling check if the nodes have a common ancestor
+			siblingCheck( ap[ i ], bp[ i ] ) :
+
+			// Otherwise nodes in our document sort first
+			// Support: IE 11+, Edge 17 - 18+
+			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+			// two documents; shallow comparisons work.
+			/* eslint-disable eqeqeq */
+			ap[ i ] == preferredDoc ? -1 :
+			bp[ i ] == preferredDoc ? 1 :
+			/* eslint-enable eqeqeq */
+			0;
+	};
+
+	return document;
+};
+
+Sizzle.matches = function( expr, elements ) {
+	return Sizzle( expr, null, null, elements );
+};
+
+Sizzle.matchesSelector = function( elem, expr ) {
+	setDocument( elem );
+
+	if ( support.matchesSelector && documentIsHTML &&
+		!nonnativeSelectorCache[ expr + " " ] &&
+		( !rbuggyMatches || !rbuggyMatches.test( expr ) ) &&
+		( !rbuggyQSA     || !rbuggyQSA.test( expr ) ) ) {
+
+		try {
+			var ret = matches.call( elem, expr );
+
+			// IE 9's matchesSelector returns false on disconnected nodes
+			if ( ret || support.disconnectedMatch ||
+
+				// As well, disconnected nodes are said to be in a document
+				// fragment in IE 9
+				elem.document && elem.document.nodeType !== 11 ) {
+				return ret;
+			}
+		} catch ( e ) {
+			nonnativeSelectorCache( expr, true );
+		}
+	}
+
+	return Sizzle( expr, document, null, [ elem ] ).length > 0;
+};
+
+Sizzle.contains = function( context, elem ) {
+
+	// Set document vars if needed
+	// Support: IE 11+, Edge 17 - 18+
+	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+	// two documents; shallow comparisons work.
+	// eslint-disable-next-line eqeqeq
+	if ( ( context.ownerDocument || context ) != document ) {
+		setDocument( context );
+	}
+	return contains( context, elem );
+};
+
+Sizzle.attr = function( elem, name ) {
+
+	// Set document vars if needed
+	// Support: IE 11+, Edge 17 - 18+
+	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+	// two documents; shallow comparisons work.
+	// eslint-disable-next-line eqeqeq
+	if ( ( elem.ownerDocument || elem ) != document ) {
+		setDocument( elem );
+	}
+
+	var fn = Expr.attrHandle[ name.toLowerCase() ],
+
+		// Don't get fooled by Object.prototype properties (jQuery #13807)
+		val = fn && hasOwn.call( Expr.attrHandle, name.toLowerCase() ) ?
+			fn( elem, name, !documentIsHTML ) :
+			undefined;
+
+	return val !== undefined ?
+		val :
+		support.attributes || !documentIsHTML ?
+			elem.getAttribute( name ) :
+			( val = elem.getAttributeNode( name ) ) && val.specified ?
+				val.value :
+				null;
+};
+
+Sizzle.escape = function( sel ) {
+	return ( sel + "" ).replace( rcssescape, fcssescape );
+};
+
+Sizzle.error = function( msg ) {
+	throw new Error( "Syntax error, unrecognized expression: " + msg );
+};
+
+/**
+ * Document sorting and removing duplicates
+ * @param {ArrayLike} results
+ */
+Sizzle.uniqueSort = function( results ) {
+	var elem,
+		duplicates = [],
+		j = 0,
+		i = 0;
+
+	// Unless we *know* we can detect duplicates, assume their presence
+	hasDuplicate = !support.detectDuplicates;
+	sortInput = !support.sortStable && results.slice( 0 );
+	results.sort( sortOrder );
+
+	if ( hasDuplicate ) {
+		while ( ( elem = results[ i++ ] ) ) {
+			if ( elem === results[ i ] ) {
+				j = duplicates.push( i );
+			}
+		}
+		while ( j-- ) {
+			results.splice( duplicates[ j ], 1 );
+		}
+	}
+
+	// Clear input after sorting to release objects
+	// See https://github.com/jquery/sizzle/pull/225
+	sortInput = null;
+
+	return results;
+};
+
+/**
+ * Utility function for retrieving the text value of an array of DOM nodes
+ * @param {Array|Element} elem
+ */
+getText = Sizzle.getText = function( elem ) {
+	var node,
+		ret = "",
+		i = 0,
+		nodeType = elem.nodeType;
+
+	if ( !nodeType ) {
+
+		// If no nodeType, this is expected to be an array
+		while ( ( node = elem[ i++ ] ) ) {
+
+			// Do not traverse comment nodes
+			ret += getText( node );
+		}
+	} else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) {
+
+		// Use textContent for elements
+		// innerText usage removed for consistency of new lines (jQuery #11153)
+		if ( typeof elem.textContent === "string" ) {
+			return elem.textContent;
+		} else {
+
+			// Traverse its children
+			for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) {
+				ret += getText( elem );
+			}
+		}
+	} else if ( nodeType === 3 || nodeType === 4 ) {
+		return elem.nodeValue;
+	}
+
+	// Do not include comment or processing instruction nodes
+
+	return ret;
+};
+
+Expr = Sizzle.selectors = {
+
+	// Can be adjusted by the user
+	cacheLength: 50,
+
+	createPseudo: markFunction,
+
+	match: matchExpr,
+
+	attrHandle: {},
+
+	find: {},
+
+	relative: {
+		">": { dir: "parentNode", first: true },
+		" ": { dir: "parentNode" },
+		"+": { dir: "previousSibling", first: true },
+		"~": { dir: "previousSibling" }
+	},
+
+	preFilter: {
+		"ATTR": function( match ) {
+			match[ 1 ] = match[ 1 ].replace( runescape, funescape );
+
+			// Move the given value to match[3] whether quoted or unquoted
+			match[ 3 ] = ( match[ 3 ] || match[ 4 ] ||
+				match[ 5 ] || "" ).replace( runescape, funescape );
+
+			if ( match[ 2 ] === "~=" ) {
+				match[ 3 ] = " " + match[ 3 ] + " ";
+			}
+
+			return match.slice( 0, 4 );
+		},
+
+		"CHILD": function( match ) {
+
+			/* matches from matchExpr["CHILD"]
+				1 type (only|nth|...)
+				2 what (child|of-type)
+				3 argument (even|odd|\d*|\d*n([+-]\d+)?|...)
+				4 xn-component of xn+y argument ([+-]?\d*n|)
+				5 sign of xn-component
+				6 x of xn-component
+				7 sign of y-component
+				8 y of y-component
+			*/
+			match[ 1 ] = match[ 1 ].toLowerCase();
+
+			if ( match[ 1 ].slice( 0, 3 ) === "nth" ) {
+
+				// nth-* requires argument
+				if ( !match[ 3 ] ) {
+					Sizzle.error( match[ 0 ] );
+				}
+
+				// numeric x and y parameters for Expr.filter.CHILD
+				// remember that false/true cast respectively to 0/1
+				match[ 4 ] = +( match[ 4 ] ?
+					match[ 5 ] + ( match[ 6 ] || 1 ) :
+					2 * ( match[ 3 ] === "even" || match[ 3 ] === "odd" ) );
+				match[ 5 ] = +( ( match[ 7 ] + match[ 8 ] ) || match[ 3 ] === "odd" );
+
+				// other types prohibit arguments
+			} else if ( match[ 3 ] ) {
+				Sizzle.error( match[ 0 ] );
+			}
+
+			return match;
+		},
+
+		"PSEUDO": function( match ) {
+			var excess,
+				unquoted = !match[ 6 ] && match[ 2 ];
+
+			if ( matchExpr[ "CHILD" ].test( match[ 0 ] ) ) {
+				return null;
+			}
+
+			// Accept quoted arguments as-is
+			if ( match[ 3 ] ) {
+				match[ 2 ] = match[ 4 ] || match[ 5 ] || "";
+
+			// Strip excess characters from unquoted arguments
+			} else if ( unquoted && rpseudo.test( unquoted ) &&
+
+				// Get excess from tokenize (recursively)
+				( excess = tokenize( unquoted, true ) ) &&
+
+				// advance to the next closing parenthesis
+				( excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length ) ) {
+
+				// excess is a negative index
+				match[ 0 ] = match[ 0 ].slice( 0, excess );
+				match[ 2 ] = unquoted.slice( 0, excess );
+			}
+
+			// Return only captures needed by the pseudo filter method (type and argument)
+			return match.slice( 0, 3 );
+		}
+	},
+
+	filter: {
+
+		"TAG": function( nodeNameSelector ) {
+			var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase();
+			return nodeNameSelector === "*" ?
+				function() {
+					return true;
+				} :
+				function( elem ) {
+					return elem.nodeName && elem.nodeName.toLowerCase() === nodeName;
+				};
+		},
+
+		"CLASS": function( className ) {
+			var pattern = classCache[ className + " " ];
+
+			return pattern ||
+				( pattern = new RegExp( "(^|" + whitespace +
+					")" + className + "(" + whitespace + "|$)" ) ) && classCache(
+						className, function( elem ) {
+							return pattern.test(
+								typeof elem.className === "string" && elem.className ||
+								typeof elem.getAttribute !== "undefined" &&
+									elem.getAttribute( "class" ) ||
+								""
+							);
+				} );
+		},
+
+		"ATTR": function( name, operator, check ) {
+			return function( elem ) {
+				var result = Sizzle.attr( elem, name );
+
+				if ( result == null ) {
+					return operator === "!=";
+				}
+				if ( !operator ) {
+					return true;
+				}
+
+				result += "";
+
+				/* eslint-disable max-len */
+
+				return operator === "=" ? result === check :
+					operator === "!=" ? result !== check :
+					operator === "^=" ? check && result.indexOf( check ) === 0 :
+					operator === "*=" ? check && result.indexOf( check ) > -1 :
+					operator === "$=" ? check && result.slice( -check.length ) === check :
+					operator === "~=" ? ( " " + result.replace( rwhitespace, " " ) + " " ).indexOf( check ) > -1 :
+					operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" :
+					false;
+				/* eslint-enable max-len */
+
+			};
+		},
+
+		"CHILD": function( type, what, _argument, first, last ) {
+			var simple = type.slice( 0, 3 ) !== "nth",
+				forward = type.slice( -4 ) !== "last",
+				ofType = what === "of-type";
+
+			return first === 1 && last === 0 ?
+
+				// Shortcut for :nth-*(n)
+				function( elem ) {
+					return !!elem.parentNode;
+				} :
+
+				function( elem, _context, xml ) {
+					var cache, uniqueCache, outerCache, node, nodeIndex, start,
+						dir = simple !== forward ? "nextSibling" : "previousSibling",
+						parent = elem.parentNode,
+						name = ofType && elem.nodeName.toLowerCase(),
+						useCache = !xml && !ofType,
+						diff = false;
+
+					if ( parent ) {
+
+						// :(first|last|only)-(child|of-type)
+						if ( simple ) {
+							while ( dir ) {
+								node = elem;
+								while ( ( node = node[ dir ] ) ) {
+									if ( ofType ?
+										node.nodeName.toLowerCase() === name :
+										node.nodeType === 1 ) {
+
+										return false;
+									}
+								}
+
+								// Reverse direction for :only-* (if we haven't yet done so)
+								start = dir = type === "only" && !start && "nextSibling";
+							}
+							return true;
+						}
+
+						start = [ forward ? parent.firstChild : parent.lastChild ];
+
+						// non-xml :nth-child(...) stores cache data on `parent`
+						if ( forward && useCache ) {
+
+							// Seek `elem` from a previously-cached index
+
+							// ...in a gzip-friendly way
+							node = parent;
+							outerCache = node[ expando ] || ( node[ expando ] = {} );
+
+							// Support: IE <9 only
+							// Defend against cloned attroperties (jQuery gh-1709)
+							uniqueCache = outerCache[ node.uniqueID ] ||
+								( outerCache[ node.uniqueID ] = {} );
+
+							cache = uniqueCache[ type ] || [];
+							nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ];
+							diff = nodeIndex && cache[ 2 ];
+							node = nodeIndex && parent.childNodes[ nodeIndex ];
+
+							while ( ( node = ++nodeIndex && node && node[ dir ] ||
+
+								// Fallback to seeking `elem` from the start
+								( diff = nodeIndex = 0 ) || start.pop() ) ) {
+
+								// When found, cache indexes on `parent` and break
+								if ( node.nodeType === 1 && ++diff && node === elem ) {
+									uniqueCache[ type ] = [ dirruns, nodeIndex, diff ];
+									break;
+								}
+							}
+
+						} else {
+
+							// Use previously-cached element index if available
+							if ( useCache ) {
+
+								// ...in a gzip-friendly way
+								node = elem;
+								outerCache = node[ expando ] || ( node[ expando ] = {} );
+
+								// Support: IE <9 only
+								// Defend against cloned attroperties (jQuery gh-1709)
+								uniqueCache = outerCache[ node.uniqueID ] ||
+									( outerCache[ node.uniqueID ] = {} );
+
+								cache = uniqueCache[ type ] || [];
+								nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ];
+								diff = nodeIndex;
+							}
+
+							// xml :nth-child(...)
+							// or :nth-last-child(...) or :nth(-last)?-of-type(...)
+							if ( diff === false ) {
+
+								// Use the same loop as above to seek `elem` from the start
+								while ( ( node = ++nodeIndex && node && node[ dir ] ||
+									( diff = nodeIndex = 0 ) || start.pop() ) ) {
+
+									if ( ( ofType ?
+										node.nodeName.toLowerCase() === name :
+										node.nodeType === 1 ) &&
+										++diff ) {
+
+										// Cache the index of each encountered element
+										if ( useCache ) {
+											outerCache = node[ expando ] ||
+												( node[ expando ] = {} );
+
+											// Support: IE <9 only
+											// Defend against cloned attroperties (jQuery gh-1709)
+											uniqueCache = outerCache[ node.uniqueID ] ||
+												( outerCache[ node.uniqueID ] = {} );
+
+											uniqueCache[ type ] = [ dirruns, diff ];
+										}
+
+										if ( node === elem ) {
+											break;
+										}
+									}
+								}
+							}
+						}
+
+						// Incorporate the offset, then check against cycle size
+						diff -= last;
+						return diff === first || ( diff % first === 0 && diff / first >= 0 );
+					}
+				};
+		},
+
+		"PSEUDO": function( pseudo, argument ) {
+
+			// pseudo-class names are case-insensitive
+			// http://www.w3.org/TR/selectors/#pseudo-classes
+			// Prioritize by case sensitivity in case custom pseudos are added with uppercase letters
+			// Remember that setFilters inherits from pseudos
+			var args,
+				fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] ||
+					Sizzle.error( "unsupported pseudo: " + pseudo );
+
+			// The user may use createPseudo to indicate that
+			// arguments are needed to create the filter function
+			// just as Sizzle does
+			if ( fn[ expando ] ) {
+				return fn( argument );
+			}
+
+			// But maintain support for old signatures
+			if ( fn.length > 1 ) {
+				args = [ pseudo, pseudo, "", argument ];
+				return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ?
+					markFunction( function( seed, matches ) {
+						var idx,
+							matched = fn( seed, argument ),
+							i = matched.length;
+						while ( i-- ) {
+							idx = indexOf( seed, matched[ i ] );
+							seed[ idx ] = !( matches[ idx ] = matched[ i ] );
+						}
+					} ) :
+					function( elem ) {
+						return fn( elem, 0, args );
+					};
+			}
+
+			return fn;
+		}
+	},
+
+	pseudos: {
+
+		// Potentially complex pseudos
+		"not": markFunction( function( selector ) {
+
+			// Trim the selector passed to compile
+			// to avoid treating leading and trailing
+			// spaces as combinators
+			var input = [],
+				results = [],
+				matcher = compile( selector.replace( rtrim, "$1" ) );
+
+			return matcher[ expando ] ?
+				markFunction( function( seed, matches, _context, xml ) {
+					var elem,
+						unmatched = matcher( seed, null, xml, [] ),
+						i = seed.length;
+
+					// Match elements unmatched by `matcher`
+					while ( i-- ) {
+						if ( ( elem = unmatched[ i ] ) ) {
+							seed[ i ] = !( matches[ i ] = elem );
+						}
+					}
+				} ) :
+				function( elem, _context, xml ) {
+					input[ 0 ] = elem;
+					matcher( input, null, xml, results );
+
+					// Don't keep the element (issue #299)
+					input[ 0 ] = null;
+					return !results.pop();
+				};
+		} ),
+
+		"has": markFunction( function( selector ) {
+			return function( elem ) {
+				return Sizzle( selector, elem ).length > 0;
+			};
+		} ),
+
+		"contains": markFunction( function( text ) {
+			text = text.replace( runescape, funescape );
+			return function( elem ) {
+				return ( elem.textContent || getText( elem ) ).indexOf( text ) > -1;
+			};
+		} ),
+
+		// "Whether an element is represented by a :lang() selector
+		// is based solely on the element's language value
+		// being equal to the identifier C,
+		// or beginning with the identifier C immediately followed by "-".
+		// The matching of C against the element's language value is performed case-insensitively.
+		// The identifier C does not have to be a valid language name."
+		// http://www.w3.org/TR/selectors/#lang-pseudo
+		"lang": markFunction( function( lang ) {
+
+			// lang value must be a valid identifier
+			if ( !ridentifier.test( lang || "" ) ) {
+				Sizzle.error( "unsupported lang: " + lang );
+			}
+			lang = lang.replace( runescape, funescape ).toLowerCase();
+			return function( elem ) {
+				var elemLang;
+				do {
+					if ( ( elemLang = documentIsHTML ?
+						elem.lang :
+						elem.getAttribute( "xml:lang" ) || elem.getAttribute( "lang" ) ) ) {
+
+						elemLang = elemLang.toLowerCase();
+						return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0;
+					}
+				} while ( ( elem = elem.parentNode ) && elem.nodeType === 1 );
+				return false;
+			};
+		} ),
+
+		// Miscellaneous
+		"target": function( elem ) {
+			var hash = window.location && window.location.hash;
+			return hash && hash.slice( 1 ) === elem.id;
+		},
+
+		"root": function( elem ) {
+			return elem === docElem;
+		},
+
+		"focus": function( elem ) {
+			return elem === document.activeElement &&
+				( !document.hasFocus || document.hasFocus() ) &&
+				!!( elem.type || elem.href || ~elem.tabIndex );
+		},
+
+		// Boolean properties
+		"enabled": createDisabledPseudo( false ),
+		"disabled": createDisabledPseudo( true ),
+
+		"checked": function( elem ) {
+
+			// In CSS3, :checked should return both checked and selected elements
+			// http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked
+			var nodeName = elem.nodeName.toLowerCase();
+			return ( nodeName === "input" && !!elem.checked ) ||
+				( nodeName === "option" && !!elem.selected );
+		},
+
+		"selected": function( elem ) {
+
+			// Accessing this property makes selected-by-default
+			// options in Safari work properly
+			if ( elem.parentNode ) {
+				// eslint-disable-next-line no-unused-expressions
+				elem.parentNode.selectedIndex;
+			}
+
+			return elem.selected === true;
+		},
+
+		// Contents
+		"empty": function( elem ) {
+
+			// http://www.w3.org/TR/selectors/#empty-pseudo
+			// :empty is negated by element (1) or content nodes (text: 3; cdata: 4; entity ref: 5),
+			//   but not by others (comment: 8; processing instruction: 7; etc.)
+			// nodeType < 6 works because attributes (2) do not appear as children
+			for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) {
+				if ( elem.nodeType < 6 ) {
+					return false;
+				}
+			}
+			return true;
+		},
+
+		"parent": function( elem ) {
+			return !Expr.pseudos[ "empty" ]( elem );
+		},
+
+		// Element/input types
+		"header": function( elem ) {
+			return rheader.test( elem.nodeName );
+		},
+
+		"input": function( elem ) {
+			return rinputs.test( elem.nodeName );
+		},
+
+		"button": function( elem ) {
+			var name = elem.nodeName.toLowerCase();
+			return name === "input" && elem.type === "button" || name === "button";
+		},
+
+		"text": function( elem ) {
+			var attr;
+			return elem.nodeName.toLowerCase() === "input" &&
+				elem.type === "text" &&
+
+				// Support: IE<8
+				// New HTML5 attribute values (e.g., "search") appear with elem.type === "text"
+				( ( attr = elem.getAttribute( "type" ) ) == null ||
+					attr.toLowerCase() === "text" );
+		},
+
+		// Position-in-collection
+		"first": createPositionalPseudo( function() {
+			return [ 0 ];
+		} ),
+
+		"last": createPositionalPseudo( function( _matchIndexes, length ) {
+			return [ length - 1 ];
+		} ),
+
+		"eq": createPositionalPseudo( function( _matchIndexes, length, argument ) {
+			return [ argument < 0 ? argument + length : argument ];
+		} ),
+
+		"even": createPositionalPseudo( function( matchIndexes, length ) {
+			var i = 0;
+			for ( ; i < length; i += 2 ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		} ),
+
+		"odd": createPositionalPseudo( function( matchIndexes, length ) {
+			var i = 1;
+			for ( ; i < length; i += 2 ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		} ),
+
+		"lt": createPositionalPseudo( function( matchIndexes, length, argument ) {
+			var i = argument < 0 ?
+				argument + length :
+				argument > length ?
+					length :
+					argument;
+			for ( ; --i >= 0; ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		} ),
+
+		"gt": createPositionalPseudo( function( matchIndexes, length, argument ) {
+			var i = argument < 0 ? argument + length : argument;
+			for ( ; ++i < length; ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		} )
+	}
+};
+
+Expr.pseudos[ "nth" ] = Expr.pseudos[ "eq" ];
+
+// Add button/input type pseudos
+for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) {
+	Expr.pseudos[ i ] = createInputPseudo( i );
+}
+for ( i in { submit: true, reset: true } ) {
+	Expr.pseudos[ i ] = createButtonPseudo( i );
+}
+
+// Easy API for creating new setFilters
+function setFilters() {}
+setFilters.prototype = Expr.filters = Expr.pseudos;
+Expr.setFilters = new setFilters();
+
+tokenize = Sizzle.tokenize = function( selector, parseOnly ) {
+	var matched, match, tokens, type,
+		soFar, groups, preFilters,
+		cached = tokenCache[ selector + " " ];
+
+	if ( cached ) {
+		return parseOnly ? 0 : cached.slice( 0 );
+	}
+
+	soFar = selector;
+	groups = [];
+	preFilters = Expr.preFilter;
+
+	while ( soFar ) {
+
+		// Comma and first run
+		if ( !matched || ( match = rcomma.exec( soFar ) ) ) {
+			if ( match ) {
+
+				// Don't consume trailing commas as valid
+				soFar = soFar.slice( match[ 0 ].length ) || soFar;
+			}
+			groups.push( ( tokens = [] ) );
+		}
+
+		matched = false;
+
+		// Combinators
+		if ( ( match = rcombinators.exec( soFar ) ) ) {
+			matched = match.shift();
+			tokens.push( {
+				value: matched,
+
+				// Cast descendant combinators to space
+				type: match[ 0 ].replace( rtrim, " " )
+			} );
+			soFar = soFar.slice( matched.length );
+		}
+
+		// Filters
+		for ( type in Expr.filter ) {
+			if ( ( match = matchExpr[ type ].exec( soFar ) ) && ( !preFilters[ type ] ||
+				( match = preFilters[ type ]( match ) ) ) ) {
+				matched = match.shift();
+				tokens.push( {
+					value: matched,
+					type: type,
+					matches: match
+				} );
+				soFar = soFar.slice( matched.length );
+			}
+		}
+
+		if ( !matched ) {
+			break;
+		}
+	}
+
+	// Return the length of the invalid excess
+	// if we're just parsing
+	// Otherwise, throw an error or return tokens
+	return parseOnly ?
+		soFar.length :
+		soFar ?
+			Sizzle.error( selector ) :
+
+			// Cache the tokens
+			tokenCache( selector, groups ).slice( 0 );
+};
+
+function toSelector( tokens ) {
+	var i = 0,
+		len = tokens.length,
+		selector = "";
+	for ( ; i < len; i++ ) {
+		selector += tokens[ i ].value;
+	}
+	return selector;
+}
+
+function addCombinator( matcher, combinator, base ) {
+	var dir = combinator.dir,
+		skip = combinator.next,
+		key = skip || dir,
+		checkNonElements = base && key === "parentNode",
+		doneName = done++;
+
+	return combinator.first ?
+
+		// Check against closest ancestor/preceding element
+		function( elem, context, xml ) {
+			while ( ( elem = elem[ dir ] ) ) {
+				if ( elem.nodeType === 1 || checkNonElements ) {
+					return matcher( elem, context, xml );
+				}
+			}
+			return false;
+		} :
+
+		// Check against all ancestor/preceding elements
+		function( elem, context, xml ) {
+			var oldCache, uniqueCache, outerCache,
+				newCache = [ dirruns, doneName ];
+
+			// We can't set arbitrary data on XML nodes, so they don't benefit from combinator caching
+			if ( xml ) {
+				while ( ( elem = elem[ dir ] ) ) {
+					if ( elem.nodeType === 1 || checkNonElements ) {
+						if ( matcher( elem, context, xml ) ) {
+							return true;
+						}
+					}
+				}
+			} else {
+				while ( ( elem = elem[ dir ] ) ) {
+					if ( elem.nodeType === 1 || checkNonElements ) {
+						outerCache = elem[ expando ] || ( elem[ expando ] = {} );
+
+						// Support: IE <9 only
+						// Defend against cloned attroperties (jQuery gh-1709)
+						uniqueCache = outerCache[ elem.uniqueID ] ||
+							( outerCache[ elem.uniqueID ] = {} );
+
+						if ( skip && skip === elem.nodeName.toLowerCase() ) {
+							elem = elem[ dir ] || elem;
+						} else if ( ( oldCache = uniqueCache[ key ] ) &&
+							oldCache[ 0 ] === dirruns && oldCache[ 1 ] === doneName ) {
+
+							// Assign to newCache so results back-propagate to previous elements
+							return ( newCache[ 2 ] = oldCache[ 2 ] );
+						} else {
+
+							// Reuse newcache so results back-propagate to previous elements
+							uniqueCache[ key ] = newCache;
+
+							// A match means we're done; a fail means we have to keep checking
+							if ( ( newCache[ 2 ] = matcher( elem, context, xml ) ) ) {
+								return true;
+							}
+						}
+					}
+				}
+			}
+			return false;
+		};
+}
+
+function elementMatcher( matchers ) {
+	return matchers.length > 1 ?
+		function( elem, context, xml ) {
+			var i = matchers.length;
+			while ( i-- ) {
+				if ( !matchers[ i ]( elem, context, xml ) ) {
+					return false;
+				}
+			}
+			return true;
+		} :
+		matchers[ 0 ];
+}
+
+function multipleContexts( selector, contexts, results ) {
+	var i = 0,
+		len = contexts.length;
+	for ( ; i < len; i++ ) {
+		Sizzle( selector, contexts[ i ], results );
+	}
+	return results;
+}
+
+function condense( unmatched, map, filter, context, xml ) {
+	var elem,
+		newUnmatched = [],
+		i = 0,
+		len = unmatched.length,
+		mapped = map != null;
+
+	for ( ; i < len; i++ ) {
+		if ( ( elem = unmatched[ i ] ) ) {
+			if ( !filter || filter( elem, context, xml ) ) {
+				newUnmatched.push( elem );
+				if ( mapped ) {
+					map.push( i );
+				}
+			}
+		}
+	}
+
+	return newUnmatched;
+}
+
+function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) {
+	if ( postFilter && !postFilter[ expando ] ) {
+		postFilter = setMatcher( postFilter );
+	}
+	if ( postFinder && !postFinder[ expando ] ) {
+		postFinder = setMatcher( postFinder, postSelector );
+	}
+	return markFunction( function( seed, results, context, xml ) {
+		var temp, i, elem,
+			preMap = [],
+			postMap = [],
+			preexisting = results.length,
+
+			// Get initial elements from seed or context
+			elems = seed || multipleContexts(
+				selector || "*",
+				context.nodeType ? [ context ] : context,
+				[]
+			),
+
+			// Prefilter to get matcher input, preserving a map for seed-results synchronization
+			matcherIn = preFilter && ( seed || !selector ) ?
+				condense( elems, preMap, preFilter, context, xml ) :
+				elems,
+
+			matcherOut = matcher ?
+
+				// If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results,
+				postFinder || ( seed ? preFilter : preexisting || postFilter ) ?
+
+					// ...intermediate processing is necessary
+					[] :
+
+					// ...otherwise use results directly
+					results :
+				matcherIn;
+
+		// Find primary matches
+		if ( matcher ) {
+			matcher( matcherIn, matcherOut, context, xml );
+		}
+
+		// Apply postFilter
+		if ( postFilter ) {
+			temp = condense( matcherOut, postMap );
+			postFilter( temp, [], context, xml );
+
+			// Un-match failing elements by moving them back to matcherIn
+			i = temp.length;
+			while ( i-- ) {
+				if ( ( elem = temp[ i ] ) ) {
+					matcherOut[ postMap[ i ] ] = !( matcherIn[ postMap[ i ] ] = elem );
+				}
+			}
+		}
+
+		if ( seed ) {
+			if ( postFinder || preFilter ) {
+				if ( postFinder ) {
+
+					// Get the final matcherOut by condensing this intermediate into postFinder contexts
+					temp = [];
+					i = matcherOut.length;
+					while ( i-- ) {
+						if ( ( elem = matcherOut[ i ] ) ) {
+
+							// Restore matcherIn since elem is not yet a final match
+							temp.push( ( matcherIn[ i ] = elem ) );
+						}
+					}
+					postFinder( null, ( matcherOut = [] ), temp, xml );
+				}
+
+				// Move matched elements from seed to results to keep them synchronized
+				i = matcherOut.length;
+				while ( i-- ) {
+					if ( ( elem = matcherOut[ i ] ) &&
+						( temp = postFinder ? indexOf( seed, elem ) : preMap[ i ] ) > -1 ) {
+
+						seed[ temp ] = !( results[ temp ] = elem );
+					}
+				}
+			}
+
+		// Add elements to results, through postFinder if defined
+		} else {
+			matcherOut = condense(
+				matcherOut === results ?
+					matcherOut.splice( preexisting, matcherOut.length ) :
+					matcherOut
+			);
+			if ( postFinder ) {
+				postFinder( null, results, matcherOut, xml );
+			} else {
+				push.apply( results, matcherOut );
+			}
+		}
+	} );
+}
+
+function matcherFromTokens( tokens ) {
+	var checkContext, matcher, j,
+		len = tokens.length,
+		leadingRelative = Expr.relative[ tokens[ 0 ].type ],
+		implicitRelative = leadingRelative || Expr.relative[ " " ],
+		i = leadingRelative ? 1 : 0,
+
+		// The foundational matcher ensures that elements are reachable from top-level context(s)
+		matchContext = addCombinator( function( elem ) {
+			return elem === checkContext;
+		}, implicitRelative, true ),
+		matchAnyContext = addCombinator( function( elem ) {
+			return indexOf( checkContext, elem ) > -1;
+		}, implicitRelative, true ),
+		matchers = [ function( elem, context, xml ) {
+			var ret = ( !leadingRelative && ( xml || context !== outermostContext ) ) || (
+				( checkContext = context ).nodeType ?
+					matchContext( elem, context, xml ) :
+					matchAnyContext( elem, context, xml ) );
+
+			// Avoid hanging onto element (issue #299)
+			checkContext = null;
+			return ret;
+		} ];
+
+	for ( ; i < len; i++ ) {
+		if ( ( matcher = Expr.relative[ tokens[ i ].type ] ) ) {
+			matchers = [ addCombinator( elementMatcher( matchers ), matcher ) ];
+		} else {
+			matcher = Expr.filter[ tokens[ i ].type ].apply( null, tokens[ i ].matches );
+
+			// Return special upon seeing a positional matcher
+			if ( matcher[ expando ] ) {
+
+				// Find the next relative operator (if any) for proper handling
+				j = ++i;
+				for ( ; j < len; j++ ) {
+					if ( Expr.relative[ tokens[ j ].type ] ) {
+						break;
+					}
+				}
+				return setMatcher(
+					i > 1 && elementMatcher( matchers ),
+					i > 1 && toSelector(
+
+					// If the preceding token was a descendant combinator, insert an implicit any-element `*`
+					tokens
+						.slice( 0, i - 1 )
+						.concat( { value: tokens[ i - 2 ].type === " " ? "*" : "" } )
+					).replace( rtrim, "$1" ),
+					matcher,
+					i < j && matcherFromTokens( tokens.slice( i, j ) ),
+					j < len && matcherFromTokens( ( tokens = tokens.slice( j ) ) ),
+					j < len && toSelector( tokens )
+				);
+			}
+			matchers.push( matcher );
+		}
+	}
+
+	return elementMatcher( matchers );
+}
+
+function matcherFromGroupMatchers( elementMatchers, setMatchers ) {
+	var bySet = setMatchers.length > 0,
+		byElement = elementMatchers.length > 0,
+		superMatcher = function( seed, context, xml, results, outermost ) {
+			var elem, j, matcher,
+				matchedCount = 0,
+				i = "0",
+				unmatched = seed && [],
+				setMatched = [],
+				contextBackup = outermostContext,
+
+				// We must always have either seed elements or outermost context
+				elems = seed || byElement && Expr.find[ "TAG" ]( "*", outermost ),
+
+				// Use integer dirruns iff this is the outermost matcher
+				dirrunsUnique = ( dirruns += contextBackup == null ? 1 : Math.random() || 0.1 ),
+				len = elems.length;
+
+			if ( outermost ) {
+
+				// Support: IE 11+, Edge 17 - 18+
+				// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+				// two documents; shallow comparisons work.
+				// eslint-disable-next-line eqeqeq
+				outermostContext = context == document || context || outermost;
+			}
+
+			// Add elements passing elementMatchers directly to results
+			// Support: IE<9, Safari
+			// Tolerate NodeList properties (IE: "length"; Safari: <number>) matching elements by id
+			for ( ; i !== len && ( elem = elems[ i ] ) != null; i++ ) {
+				if ( byElement && elem ) {
+					j = 0;
+
+					// Support: IE 11+, Edge 17 - 18+
+					// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+					// two documents; shallow comparisons work.
+					// eslint-disable-next-line eqeqeq
+					if ( !context && elem.ownerDocument != document ) {
+						setDocument( elem );
+						xml = !documentIsHTML;
+					}
+					while ( ( matcher = elementMatchers[ j++ ] ) ) {
+						if ( matcher( elem, context || document, xml ) ) {
+							results.push( elem );
+							break;
+						}
+					}
+					if ( outermost ) {
+						dirruns = dirrunsUnique;
+					}
+				}
+
+				// Track unmatched elements for set filters
+				if ( bySet ) {
+
+					// They will have gone through all possible matchers
+					if ( ( elem = !matcher && elem ) ) {
+						matchedCount--;
+					}
+
+					// Lengthen the array for every element, matched or not
+					if ( seed ) {
+						unmatched.push( elem );
+					}
+				}
+			}
+
+			// `i` is now the count of elements visited above, and adding it to `matchedCount`
+			// makes the latter nonnegative.
+			matchedCount += i;
+
+			// Apply set filters to unmatched elements
+			// NOTE: This can be skipped if there are no unmatched elements (i.e., `matchedCount`
+			// equals `i`), unless we didn't visit _any_ elements in the above loop because we have
+			// no element matchers and no seed.
+			// Incrementing an initially-string "0" `i` allows `i` to remain a string only in that
+			// case, which will result in a "00" `matchedCount` that differs from `i` but is also
+			// numerically zero.
+			if ( bySet && i !== matchedCount ) {
+				j = 0;
+				while ( ( matcher = setMatchers[ j++ ] ) ) {
+					matcher( unmatched, setMatched, context, xml );
+				}
+
+				if ( seed ) {
+
+					// Reintegrate element matches to eliminate the need for sorting
+					if ( matchedCount > 0 ) {
+						while ( i-- ) {
+							if ( !( unmatched[ i ] || setMatched[ i ] ) ) {
+								setMatched[ i ] = pop.call( results );
+							}
+						}
+					}
+
+					// Discard index placeholder values to get only actual matches
+					setMatched = condense( setMatched );
+				}
+
+				// Add matches to results
+				push.apply( results, setMatched );
+
+				// Seedless set matches succeeding multiple successful matchers stipulate sorting
+				if ( outermost && !seed && setMatched.length > 0 &&
+					( matchedCount + setMatchers.length ) > 1 ) {
+
+					Sizzle.uniqueSort( results );
+				}
+			}
+
+			// Override manipulation of globals by nested matchers
+			if ( outermost ) {
+				dirruns = dirrunsUnique;
+				outermostContext = contextBackup;
+			}
+
+			return unmatched;
+		};
+
+	return bySet ?
+		markFunction( superMatcher ) :
+		superMatcher;
+}
+
+compile = Sizzle.compile = function( selector, match /* Internal Use Only */ ) {
+	var i,
+		setMatchers = [],
+		elementMatchers = [],
+		cached = compilerCache[ selector + " " ];
+
+	if ( !cached ) {
+
+		// Generate a function of recursive functions that can be used to check each element
+		if ( !match ) {
+			match = tokenize( selector );
+		}
+		i = match.length;
+		while ( i-- ) {
+			cached = matcherFromTokens( match[ i ] );
+			if ( cached[ expando ] ) {
+				setMatchers.push( cached );
+			} else {
+				elementMatchers.push( cached );
+			}
+		}
+
+		// Cache the compiled function
+		cached = compilerCache(
+			selector,
+			matcherFromGroupMatchers( elementMatchers, setMatchers )
+		);
+
+		// Save selector and tokenization
+		cached.selector = selector;
+	}
+	return cached;
+};
+
+/**
+ * A low-level selection function that works with Sizzle's compiled
+ *  selector functions
+ * @param {String|Function} selector A selector or a pre-compiled
+ *  selector function built with Sizzle.compile
+ * @param {Element} context
+ * @param {Array} [results]
+ * @param {Array} [seed] A set of elements to match against
+ */
+select = Sizzle.select = function( selector, context, results, seed ) {
+	var i, tokens, token, type, find,
+		compiled = typeof selector === "function" && selector,
+		match = !seed && tokenize( ( selector = compiled.selector || selector ) );
+
+	results = results || [];
+
+	// Try to minimize operations if there is only one selector in the list and no seed
+	// (the latter of which guarantees us context)
+	if ( match.length === 1 ) {
+
+		// Reduce context if the leading compound selector is an ID
+		tokens = match[ 0 ] = match[ 0 ].slice( 0 );
+		if ( tokens.length > 2 && ( token = tokens[ 0 ] ).type === "ID" &&
+			context.nodeType === 9 && documentIsHTML && Expr.relative[ tokens[ 1 ].type ] ) {
+
+			context = ( Expr.find[ "ID" ]( token.matches[ 0 ]
+				.replace( runescape, funescape ), context ) || [] )[ 0 ];
+			if ( !context ) {
+				return results;
+
+			// Precompiled matchers will still verify ancestry, so step up a level
+			} else if ( compiled ) {
+				context = context.parentNode;
+			}
+
+			selector = selector.slice( tokens.shift().value.length );
+		}
+
+		// Fetch a seed set for right-to-left matching
+		i = matchExpr[ "needsContext" ].test( selector ) ? 0 : tokens.length;
+		while ( i-- ) {
+			token = tokens[ i ];
+
+			// Abort if we hit a combinator
+			if ( Expr.relative[ ( type = token.type ) ] ) {
+				break;
+			}
+			if ( ( find = Expr.find[ type ] ) ) {
+
+				// Search, expanding context for leading sibling combinators
+				if ( ( seed = find(
+					token.matches[ 0 ].replace( runescape, funescape ),
+					rsibling.test( tokens[ 0 ].type ) && testContext( context.parentNode ) ||
+						context
+				) ) ) {
+
+					// If seed is empty or no tokens remain, we can return early
+					tokens.splice( i, 1 );
+					selector = seed.length && toSelector( tokens );
+					if ( !selector ) {
+						push.apply( results, seed );
+						return results;
+					}
+
+					break;
+				}
+			}
+		}
+	}
+
+	// Compile and execute a filtering function if one is not provided
+	// Provide `match` to avoid retokenization if we modified the selector above
+	( compiled || compile( selector, match ) )(
+		seed,
+		context,
+		!documentIsHTML,
+		results,
+		!context || rsibling.test( selector ) && testContext( context.parentNode ) || context
+	);
+	return results;
+};
+
+// One-time assignments
+
+// Sort stability
+support.sortStable = expando.split( "" ).sort( sortOrder ).join( "" ) === expando;
+
+// Support: Chrome 14-35+
+// Always assume duplicates if they aren't passed to the comparison function
+support.detectDuplicates = !!hasDuplicate;
+
+// Initialize against the default document
+setDocument();
+
+// Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27)
+// Detached nodes confoundingly follow *each other*
+support.sortDetached = assert( function( el ) {
+
+	// Should return 1, but returns 4 (following)
+	return el.compareDocumentPosition( document.createElement( "fieldset" ) ) & 1;
+} );
+
+// Support: IE<8
+// Prevent attribute/property "interpolation"
+// https://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx
+if ( !assert( function( el ) {
+	el.innerHTML = "<a href='#'></a>";
+	return el.firstChild.getAttribute( "href" ) === "#";
+} ) ) {
+	addHandle( "type|href|height|width", function( elem, name, isXML ) {
+		if ( !isXML ) {
+			return elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 );
+		}
+	} );
+}
+
+// Support: IE<9
+// Use defaultValue in place of getAttribute("value")
+if ( !support.attributes || !assert( function( el ) {
+	el.innerHTML = "<input/>";
+	el.firstChild.setAttribute( "value", "" );
+	return el.firstChild.getAttribute( "value" ) === "";
+} ) ) {
+	addHandle( "value", function( elem, _name, isXML ) {
+		if ( !isXML && elem.nodeName.toLowerCase() === "input" ) {
+			return elem.defaultValue;
+		}
+	} );
+}
+
+// Support: IE<9
+// Use getAttributeNode to fetch booleans when getAttribute lies
+if ( !assert( function( el ) {
+	return el.getAttribute( "disabled" ) == null;
+} ) ) {
+	addHandle( booleans, function( elem, name, isXML ) {
+		var val;
+		if ( !isXML ) {
+			return elem[ name ] === true ? name.toLowerCase() :
+				( val = elem.getAttributeNode( name ) ) && val.specified ?
+					val.value :
+					null;
+		}
+	} );
+}
+
+return Sizzle;
+
+} )( window );
+
+
+
+jQuery.find = Sizzle;
+jQuery.expr = Sizzle.selectors;
+
+// Deprecated
+jQuery.expr[ ":" ] = jQuery.expr.pseudos;
+jQuery.uniqueSort = jQuery.unique = Sizzle.uniqueSort;
+jQuery.text = Sizzle.getText;
+jQuery.isXMLDoc = Sizzle.isXML;
+jQuery.contains = Sizzle.contains;
+jQuery.escapeSelector = Sizzle.escape;
+
+
+
+
+var dir = function( elem, dir, until ) {
+	var matched = [],
+		truncate = until !== undefined;
+
+	while ( ( elem = elem[ dir ] ) && elem.nodeType !== 9 ) {
+		if ( elem.nodeType === 1 ) {
+			if ( truncate && jQuery( elem ).is( until ) ) {
+				break;
+			}
+			matched.push( elem );
+		}
+	}
+	return matched;
+};
+
+
+var siblings = function( n, elem ) {
+	var matched = [];
+
+	for ( ; n; n = n.nextSibling ) {
+		if ( n.nodeType === 1 && n !== elem ) {
+			matched.push( n );
+		}
+	}
+
+	return matched;
+};
+
+
+var rneedsContext = jQuery.expr.match.needsContext;
+
+
+
+function nodeName( elem, name ) {
+
+  return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase();
+
+};
+var rsingleTag = ( /^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i );
+
+
+
+// Implement the identical functionality for filter and not
+function winnow( elements, qualifier, not ) {
+	if ( isFunction( qualifier ) ) {
+		return jQuery.grep( elements, function( elem, i ) {
+			return !!qualifier.call( elem, i, elem ) !== not;
+		} );
+	}
+
+	// Single element
+	if ( qualifier.nodeType ) {
+		return jQuery.grep( elements, function( elem ) {
+			return ( elem === qualifier ) !== not;
+		} );
+	}
+
+	// Arraylike of elements (jQuery, arguments, Array)
+	if ( typeof qualifier !== "string" ) {
+		return jQuery.grep( elements, function( elem ) {
+			return ( indexOf.call( qualifier, elem ) > -1 ) !== not;
+		} );
+	}
+
+	// Filtered directly for both simple and complex selectors
+	return jQuery.filter( qualifier, elements, not );
+}
+
+jQuery.filter = function( expr, elems, not ) {
+	var elem = elems[ 0 ];
+
+	if ( not ) {
+		expr = ":not(" + expr + ")";
+	}
+
+	if ( elems.length === 1 && elem.nodeType === 1 ) {
+		return jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : [];
+	}
+
+	return jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) {
+		return elem.nodeType === 1;
+	} ) );
+};
+
+jQuery.fn.extend( {
+	find: function( selector ) {
+		var i, ret,
+			len = this.length,
+			self = this;
+
+		if ( typeof selector !== "string" ) {
+			return this.pushStack( jQuery( selector ).filter( function() {
+				for ( i = 0; i < len; i++ ) {
+					if ( jQuery.contains( self[ i ], this ) ) {
+						return true;
+					}
+				}
+			} ) );
+		}
+
+		ret = this.pushStack( [] );
+
+		for ( i = 0; i < len; i++ ) {
+			jQuery.find( selector, self[ i ], ret );
+		}
+
+		return len > 1 ? jQuery.uniqueSort( ret ) : ret;
+	},
+	filter: function( selector ) {
+		return this.pushStack( winnow( this, selector || [], false ) );
+	},
+	not: function( selector ) {
+		return this.pushStack( winnow( this, selector || [], true ) );
+	},
+	is: function( selector ) {
+		return !!winnow(
+			this,
+
+			// If this is a positional/relative selector, check membership in the returned set
+			// so $("p:first").is("p:last") won't return true for a doc with two "p".
+			typeof selector === "string" && rneedsContext.test( selector ) ?
+				jQuery( selector ) :
+				selector || [],
+			false
+		).length;
+	}
+} );
+
+
+// Initialize a jQuery object
+
+
+// A central reference to the root jQuery(document)
+var rootjQuery,
+
+	// A simple way to check for HTML strings
+	// Prioritize #id over <tag> to avoid XSS via location.hash (#9521)
+	// Strict HTML recognition (#11290: must start with <)
+	// Shortcut simple #id case for speed
+	rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/,
+
+	init = jQuery.fn.init = function( selector, context, root ) {
+		var match, elem;
+
+		// HANDLE: $(""), $(null), $(undefined), $(false)
+		if ( !selector ) {
+			return this;
+		}
+
+		// Method init() accepts an alternate rootjQuery
+		// so migrate can support jQuery.sub (gh-2101)
+		root = root || rootjQuery;
+
+		// Handle HTML strings
+		if ( typeof selector === "string" ) {
+			if ( selector[ 0 ] === "<" &&
+				selector[ selector.length - 1 ] === ">" &&
+				selector.length >= 3 ) {
+
+				// Assume that strings that start and end with <> are HTML and skip the regex check
+				match = [ null, selector, null ];
+
+			} else {
+				match = rquickExpr.exec( selector );
+			}
+
+			// Match html or make sure no context is specified for #id
+			if ( match && ( match[ 1 ] || !context ) ) {
+
+				// HANDLE: $(html) -> $(array)
+				if ( match[ 1 ] ) {
+					context = context instanceof jQuery ? context[ 0 ] : context;
+
+					// Option to run scripts is true for back-compat
+					// Intentionally let the error be thrown if parseHTML is not present
+					jQuery.merge( this, jQuery.parseHTML(
+						match[ 1 ],
+						context && context.nodeType ? context.ownerDocument || context : document,
+						true
+					) );
+
+					// HANDLE: $(html, props)
+					if ( rsingleTag.test( match[ 1 ] ) && jQuery.isPlainObject( context ) ) {
+						for ( match in context ) {
+
+							// Properties of context are called as methods if possible
+							if ( isFunction( this[ match ] ) ) {
+								this[ match ]( context[ match ] );
+
+							// ...and otherwise set as attributes
+							} else {
+								this.attr( match, context[ match ] );
+							}
+						}
+					}
+
+					return this;
+
+				// HANDLE: $(#id)
+				} else {
+					elem = document.getElementById( match[ 2 ] );
+
+					if ( elem ) {
+
+						// Inject the element directly into the jQuery object
+						this[ 0 ] = elem;
+						this.length = 1;
+					}
+					return this;
+				}
+
+			// HANDLE: $(expr, $(...))
+			} else if ( !context || context.jquery ) {
+				return ( context || root ).find( selector );
+
+			// HANDLE: $(expr, context)
+			// (which is just equivalent to: $(context).find(expr)
+			} else {
+				return this.constructor( context ).find( selector );
+			}
+
+		// HANDLE: $(DOMElement)
+		} else if ( selector.nodeType ) {
+			this[ 0 ] = selector;
+			this.length = 1;
+			return this;
+
+		// HANDLE: $(function)
+		// Shortcut for document ready
+		} else if ( isFunction( selector ) ) {
+			return root.ready !== undefined ?
+				root.ready( selector ) :
+
+				// Execute immediately if ready is not present
+				selector( jQuery );
+		}
+
+		return jQuery.makeArray( selector, this );
+	};
+
+// Give the init function the jQuery prototype for later instantiation
+init.prototype = jQuery.fn;
+
+// Initialize central reference
+rootjQuery = jQuery( document );
+
+
+var rparentsprev = /^(?:parents|prev(?:Until|All))/,
+
+	// Methods guaranteed to produce a unique set when starting from a unique set
+	guaranteedUnique = {
+		children: true,
+		contents: true,
+		next: true,
+		prev: true
+	};
+
+jQuery.fn.extend( {
+	has: function( target ) {
+		var targets = jQuery( target, this ),
+			l = targets.length;
+
+		return this.filter( function() {
+			var i = 0;
+			for ( ; i < l; i++ ) {
+				if ( jQuery.contains( this, targets[ i ] ) ) {
+					return true;
+				}
+			}
+		} );
+	},
+
+	closest: function( selectors, context ) {
+		var cur,
+			i = 0,
+			l = this.length,
+			matched = [],
+			targets = typeof selectors !== "string" && jQuery( selectors );
+
+		// Positional selectors never match, since there's no _selection_ context
+		if ( !rneedsContext.test( selectors ) ) {
+			for ( ; i < l; i++ ) {
+				for ( cur = this[ i ]; cur && cur !== context; cur = cur.parentNode ) {
+
+					// Always skip document fragments
+					if ( cur.nodeType < 11 && ( targets ?
+						targets.index( cur ) > -1 :
+
+						// Don't pass non-elements to Sizzle
+						cur.nodeType === 1 &&
+							jQuery.find.matchesSelector( cur, selectors ) ) ) {
+
+						matched.push( cur );
+						break;
+					}
+				}
+			}
+		}
+
+		return this.pushStack( matched.length > 1 ? jQuery.uniqueSort( matched ) : matched );
+	},
+
+	// Determine the position of an element within the set
+	index: function( elem ) {
+
+		// No argument, return index in parent
+		if ( !elem ) {
+			return ( this[ 0 ] && this[ 0 ].parentNode ) ? this.first().prevAll().length : -1;
+		}
+
+		// Index in selector
+		if ( typeof elem === "string" ) {
+			return indexOf.call( jQuery( elem ), this[ 0 ] );
+		}
+
+		// Locate the position of the desired element
+		return indexOf.call( this,
+
+			// If it receives a jQuery object, the first element is used
+			elem.jquery ? elem[ 0 ] : elem
+		);
+	},
+
+	add: function( selector, context ) {
+		return this.pushStack(
+			jQuery.uniqueSort(
+				jQuery.merge( this.get(), jQuery( selector, context ) )
+			)
+		);
+	},
+
+	addBack: function( selector ) {
+		return this.add( selector == null ?
+			this.prevObject : this.prevObject.filter( selector )
+		);
+	}
+} );
+
+function sibling( cur, dir ) {
+	while ( ( cur = cur[ dir ] ) && cur.nodeType !== 1 ) {}
+	return cur;
+}
+
+jQuery.each( {
+	parent: function( elem ) {
+		var parent = elem.parentNode;
+		return parent && parent.nodeType !== 11 ? parent : null;
+	},
+	parents: function( elem ) {
+		return dir( elem, "parentNode" );
+	},
+	parentsUntil: function( elem, _i, until ) {
+		return dir( elem, "parentNode", until );
+	},
+	next: function( elem ) {
+		return sibling( elem, "nextSibling" );
+	},
+	prev: function( elem ) {
+		return sibling( elem, "previousSibling" );
+	},
+	nextAll: function( elem ) {
+		return dir( elem, "nextSibling" );
+	},
+	prevAll: function( elem ) {
+		return dir( elem, "previousSibling" );
+	},
+	nextUntil: function( elem, _i, until ) {
+		return dir( elem, "nextSibling", until );
+	},
+	prevUntil: function( elem, _i, until ) {
+		return dir( elem, "previousSibling", until );
+	},
+	siblings: function( elem ) {
+		return siblings( ( elem.parentNode || {} ).firstChild, elem );
+	},
+	children: function( elem ) {
+		return siblings( elem.firstChild );
+	},
+	contents: function( elem ) {
+		if ( elem.contentDocument != null &&
+
+			// Support: IE 11+
+			// <object> elements with no `data` attribute has an object
+			// `contentDocument` with a `null` prototype.
+			getProto( elem.contentDocument ) ) {
+
+			return elem.contentDocument;
+		}
+
+		// Support: IE 9 - 11 only, iOS 7 only, Android Browser <=4.3 only
+		// Treat the template element as a regular one in browsers that
+		// don't support it.
+		if ( nodeName( elem, "template" ) ) {
+			elem = elem.content || elem;
+		}
+
+		return jQuery.merge( [], elem.childNodes );
+	}
+}, function( name, fn ) {
+	jQuery.fn[ name ] = function( until, selector ) {
+		var matched = jQuery.map( this, fn, until );
+
+		if ( name.slice( -5 ) !== "Until" ) {
+			selector = until;
+		}
+
+		if ( selector && typeof selector === "string" ) {
+			matched = jQuery.filter( selector, matched );
+		}
+
+		if ( this.length > 1 ) {
+
+			// Remove duplicates
+			if ( !guaranteedUnique[ name ] ) {
+				jQuery.uniqueSort( matched );
+			}
+
+			// Reverse order for parents* and prev-derivatives
+			if ( rparentsprev.test( name ) ) {
+				matched.reverse();
+			}
+		}
+
+		return this.pushStack( matched );
+	};
+} );
+var rnothtmlwhite = ( /[^\x20\t\r\n\f]+/g );
+
+
+
+// Convert String-formatted options into Object-formatted ones
+function createOptions( options ) {
+	var object = {};
+	jQuery.each( options.match( rnothtmlwhite ) || [], function( _, flag ) {
+		object[ flag ] = true;
+	} );
+	return object;
+}
+
+/*
+ * Create a callback list using the following parameters:
+ *
+ *	options: an optional list of space-separated options that will change how
+ *			the callback list behaves or a more traditional option object
+ *
+ * By default a callback list will act like an event callback list and can be
+ * "fired" multiple times.
+ *
+ * Possible options:
+ *
+ *	once:			will ensure the callback list can only be fired once (like a Deferred)
+ *
+ *	memory:			will keep track of previous values and will call any callback added
+ *					after the list has been fired right away with the latest "memorized"
+ *					values (like a Deferred)
+ *
+ *	unique:			will ensure a callback can only be added once (no duplicate in the list)
+ *
+ *	stopOnFalse:	interrupt callings when a callback returns false
+ *
+ */
+jQuery.Callbacks = function( options ) {
+
+	// Convert options from String-formatted to Object-formatted if needed
+	// (we check in cache first)
+	options = typeof options === "string" ?
+		createOptions( options ) :
+		jQuery.extend( {}, options );
+
+	var // Flag to know if list is currently firing
+		firing,
+
+		// Last fire value for non-forgettable lists
+		memory,
+
+		// Flag to know if list was already fired
+		fired,
+
+		// Flag to prevent firing
+		locked,
+
+		// Actual callback list
+		list = [],
+
+		// Queue of execution data for repeatable lists
+		queue = [],
+
+		// Index of currently firing callback (modified by add/remove as needed)
+		firingIndex = -1,
+
+		// Fire callbacks
+		fire = function() {
+
+			// Enforce single-firing
+			locked = locked || options.once;
+
+			// Execute callbacks for all pending executions,
+			// respecting firingIndex overrides and runtime changes
+			fired = firing = true;
+			for ( ; queue.length; firingIndex = -1 ) {
+				memory = queue.shift();
+				while ( ++firingIndex < list.length ) {
+
+					// Run callback and check for early termination
+					if ( list[ firingIndex ].apply( memory[ 0 ], memory[ 1 ] ) === false &&
+						options.stopOnFalse ) {
+
+						// Jump to end and forget the data so .add doesn't re-fire
+						firingIndex = list.length;
+						memory = false;
+					}
+				}
+			}
+
+			// Forget the data if we're done with it
+			if ( !options.memory ) {
+				memory = false;
+			}
+
+			firing = false;
+
+			// Clean up if we're done firing for good
+			if ( locked ) {
+
+				// Keep an empty list if we have data for future add calls
+				if ( memory ) {
+					list = [];
+
+				// Otherwise, this object is spent
+				} else {
+					list = "";
+				}
+			}
+		},
+
+		// Actual Callbacks object
+		self = {
+
+			// Add a callback or a collection of callbacks to the list
+			add: function() {
+				if ( list ) {
+
+					// If we have memory from a past run, we should fire after adding
+					if ( memory && !firing ) {
+						firingIndex = list.length - 1;
+						queue.push( memory );
+					}
+
+					( function add( args ) {
+						jQuery.each( args, function( _, arg ) {
+							if ( isFunction( arg ) ) {
+								if ( !options.unique || !self.has( arg ) ) {
+									list.push( arg );
+								}
+							} else if ( arg && arg.length && toType( arg ) !== "string" ) {
+
+								// Inspect recursively
+								add( arg );
+							}
+						} );
+					} )( arguments );
+
+					if ( memory && !firing ) {
+						fire();
+					}
+				}
+				return this;
+			},
+
+			// Remove a callback from the list
+			remove: function() {
+				jQuery.each( arguments, function( _, arg ) {
+					var index;
+					while ( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) {
+						list.splice( index, 1 );
+
+						// Handle firing indexes
+						if ( index <= firingIndex ) {
+							firingIndex--;
+						}
+					}
+				} );
+				return this;
+			},
+
+			// Check if a given callback is in the list.
+			// If no argument is given, return whether or not list has callbacks attached.
+			has: function( fn ) {
+				return fn ?
+					jQuery.inArray( fn, list ) > -1 :
+					list.length > 0;
+			},
+
+			// Remove all callbacks from the list
+			empty: function() {
+				if ( list ) {
+					list = [];
+				}
+				return this;
+			},
+
+			// Disable .fire and .add
+			// Abort any current/pending executions
+			// Clear all callbacks and values
+			disable: function() {
+				locked = queue = [];
+				list = memory = "";
+				return this;
+			},
+			disabled: function() {
+				return !list;
+			},
+
+			// Disable .fire
+			// Also disable .add unless we have memory (since it would have no effect)
+			// Abort any pending executions
+			lock: function() {
+				locked = queue = [];
+				if ( !memory && !firing ) {
+					list = memory = "";
+				}
+				return this;
+			},
+			locked: function() {
+				return !!locked;
+			},
+
+			// Call all callbacks with the given context and arguments
+			fireWith: function( context, args ) {
+				if ( !locked ) {
+					args = args || [];
+					args = [ context, args.slice ? args.slice() : args ];
+					queue.push( args );
+					if ( !firing ) {
+						fire();
+					}
+				}
+				return this;
+			},
+
+			// Call all the callbacks with the given arguments
+			fire: function() {
+				self.fireWith( this, arguments );
+				return this;
+			},
+
+			// To know if the callbacks have already been called at least once
+			fired: function() {
+				return !!fired;
+			}
+		};
+
+	return self;
+};
+
+
+function Identity( v ) {
+	return v;
+}
+function Thrower( ex ) {
+	throw ex;
+}
+
+function adoptValue( value, resolve, reject, noValue ) {
+	var method;
+
+	try {
+
+		// Check for promise aspect first to privilege synchronous behavior
+		if ( value && isFunction( ( method = value.promise ) ) ) {
+			method.call( value ).done( resolve ).fail( reject );
+
+		// Other thenables
+		} else if ( value && isFunction( ( method = value.then ) ) ) {
+			method.call( value, resolve, reject );
+
+		// Other non-thenables
+		} else {
+
+			// Control `resolve` arguments by letting Array#slice cast boolean `noValue` to integer:
+			// * false: [ value ].slice( 0 ) => resolve( value )
+			// * true: [ value ].slice( 1 ) => resolve()
+			resolve.apply( undefined, [ value ].slice( noValue ) );
+		}
+
+	// For Promises/A+, convert exceptions into rejections
+	// Since jQuery.when doesn't unwrap thenables, we can skip the extra checks appearing in
+	// Deferred#then to conditionally suppress rejection.
+	} catch ( value ) {
+
+		// Support: Android 4.0 only
+		// Strict mode functions invoked without .call/.apply get global-object context
+		reject.apply( undefined, [ value ] );
+	}
+}
+
+jQuery.extend( {
+
+	Deferred: function( func ) {
+		var tuples = [
+
+				// action, add listener, callbacks,
+				// ... .then handlers, argument index, [final state]
+				[ "notify", "progress", jQuery.Callbacks( "memory" ),
+					jQuery.Callbacks( "memory" ), 2 ],
+				[ "resolve", "done", jQuery.Callbacks( "once memory" ),
+					jQuery.Callbacks( "once memory" ), 0, "resolved" ],
+				[ "reject", "fail", jQuery.Callbacks( "once memory" ),
+					jQuery.Callbacks( "once memory" ), 1, "rejected" ]
+			],
+			state = "pending",
+			promise = {
+				state: function() {
+					return state;
+				},
+				always: function() {
+					deferred.done( arguments ).fail( arguments );
+					return this;
+				},
+				"catch": function( fn ) {
+					return promise.then( null, fn );
+				},
+
+				// Keep pipe for back-compat
+				pipe: function( /* fnDone, fnFail, fnProgress */ ) {
+					var fns = arguments;
+
+					return jQuery.Deferred( function( newDefer ) {
+						jQuery.each( tuples, function( _i, tuple ) {
+
+							// Map tuples (progress, done, fail) to arguments (done, fail, progress)
+							var fn = isFunction( fns[ tuple[ 4 ] ] ) && fns[ tuple[ 4 ] ];
+
+							// deferred.progress(function() { bind to newDefer or newDefer.notify })
+							// deferred.done(function() { bind to newDefer or newDefer.resolve })
+							// deferred.fail(function() { bind to newDefer or newDefer.reject })
+							deferred[ tuple[ 1 ] ]( function() {
+								var returned = fn && fn.apply( this, arguments );
+								if ( returned && isFunction( returned.promise ) ) {
+									returned.promise()
+										.progress( newDefer.notify )
+										.done( newDefer.resolve )
+										.fail( newDefer.reject );
+								} else {
+									newDefer[ tuple[ 0 ] + "With" ](
+										this,
+										fn ? [ returned ] : arguments
+									);
+								}
+							} );
+						} );
+						fns = null;
+					} ).promise();
+				},
+				then: function( onFulfilled, onRejected, onProgress ) {
+					var maxDepth = 0;
+					function resolve( depth, deferred, handler, special ) {
+						return function() {
+							var that = this,
+								args = arguments,
+								mightThrow = function() {
+									var returned, then;
+
+									// Support: Promises/A+ section 2.3.3.3.3
+									// https://promisesaplus.com/#point-59
+									// Ignore double-resolution attempts
+									if ( depth < maxDepth ) {
+										return;
+									}
+
+									returned = handler.apply( that, args );
+
+									// Support: Promises/A+ section 2.3.1
+									// https://promisesaplus.com/#point-48
+									if ( returned === deferred.promise() ) {
+										throw new TypeError( "Thenable self-resolution" );
+									}
+
+									// Support: Promises/A+ sections 2.3.3.1, 3.5
+									// https://promisesaplus.com/#point-54
+									// https://promisesaplus.com/#point-75
+									// Retrieve `then` only once
+									then = returned &&
+
+										// Support: Promises/A+ section 2.3.4
+										// https://promisesaplus.com/#point-64
+										// Only check objects and functions for thenability
+										( typeof returned === "object" ||
+											typeof returned === "function" ) &&
+										returned.then;
+
+									// Handle a returned thenable
+									if ( isFunction( then ) ) {
+
+										// Special processors (notify) just wait for resolution
+										if ( special ) {
+											then.call(
+												returned,
+												resolve( maxDepth, deferred, Identity, special ),
+												resolve( maxDepth, deferred, Thrower, special )
+											);
+
+										// Normal processors (resolve) also hook into progress
+										} else {
+
+											// ...and disregard older resolution values
+											maxDepth++;
+
+											then.call(
+												returned,
+												resolve( maxDepth, deferred, Identity, special ),
+												resolve( maxDepth, deferred, Thrower, special ),
+												resolve( maxDepth, deferred, Identity,
+													deferred.notifyWith )
+											);
+										}
+
+									// Handle all other returned values
+									} else {
+
+										// Only substitute handlers pass on context
+										// and multiple values (non-spec behavior)
+										if ( handler !== Identity ) {
+											that = undefined;
+											args = [ returned ];
+										}
+
+										// Process the value(s)
+										// Default process is resolve
+										( special || deferred.resolveWith )( that, args );
+									}
+								},
+
+								// Only normal processors (resolve) catch and reject exceptions
+								process = special ?
+									mightThrow :
+									function() {
+										try {
+											mightThrow();
+										} catch ( e ) {
+
+											if ( jQuery.Deferred.exceptionHook ) {
+												jQuery.Deferred.exceptionHook( e,
+													process.stackTrace );
+											}
+
+											// Support: Promises/A+ section 2.3.3.3.4.1
+											// https://promisesaplus.com/#point-61
+											// Ignore post-resolution exceptions
+											if ( depth + 1 >= maxDepth ) {
+
+												// Only substitute handlers pass on context
+												// and multiple values (non-spec behavior)
+												if ( handler !== Thrower ) {
+													that = undefined;
+													args = [ e ];
+												}
+
+												deferred.rejectWith( that, args );
+											}
+										}
+									};
+
+							// Support: Promises/A+ section 2.3.3.3.1
+							// https://promisesaplus.com/#point-57
+							// Re-resolve promises immediately to dodge false rejection from
+							// subsequent errors
+							if ( depth ) {
+								process();
+							} else {
+
+								// Call an optional hook to record the stack, in case of exception
+								// since it's otherwise lost when execution goes async
+								if ( jQuery.Deferred.getStackHook ) {
+									process.stackTrace = jQuery.Deferred.getStackHook();
+								}
+								window.setTimeout( process );
+							}
+						};
+					}
+
+					return jQuery.Deferred( function( newDefer ) {
+
+						// progress_handlers.add( ... )
+						tuples[ 0 ][ 3 ].add(
+							resolve(
+								0,
+								newDefer,
+								isFunction( onProgress ) ?
+									onProgress :
+									Identity,
+								newDefer.notifyWith
+							)
+						);
+
+						// fulfilled_handlers.add( ... )
+						tuples[ 1 ][ 3 ].add(
+							resolve(
+								0,
+								newDefer,
+								isFunction( onFulfilled ) ?
+									onFulfilled :
+									Identity
+							)
+						);
+
+						// rejected_handlers.add( ... )
+						tuples[ 2 ][ 3 ].add(
+							resolve(
+								0,
+								newDefer,
+								isFunction( onRejected ) ?
+									onRejected :
+									Thrower
+							)
+						);
+					} ).promise();
+				},
+
+				// Get a promise for this deferred
+				// If obj is provided, the promise aspect is added to the object
+				promise: function( obj ) {
+					return obj != null ? jQuery.extend( obj, promise ) : promise;
+				}
+			},
+			deferred = {};
+
+		// Add list-specific methods
+		jQuery.each( tuples, function( i, tuple ) {
+			var list = tuple[ 2 ],
+				stateString = tuple[ 5 ];
+
+			// promise.progress = list.add
+			// promise.done = list.add
+			// promise.fail = list.add
+			promise[ tuple[ 1 ] ] = list.add;
+
+			// Handle state
+			if ( stateString ) {
+				list.add(
+					function() {
+
+						// state = "resolved" (i.e., fulfilled)
+						// state = "rejected"
+						state = stateString;
+					},
+
+					// rejected_callbacks.disable
+					// fulfilled_callbacks.disable
+					tuples[ 3 - i ][ 2 ].disable,
+
+					// rejected_handlers.disable
+					// fulfilled_handlers.disable
+					tuples[ 3 - i ][ 3 ].disable,
+
+					// progress_callbacks.lock
+					tuples[ 0 ][ 2 ].lock,
+
+					// progress_handlers.lock
+					tuples[ 0 ][ 3 ].lock
+				);
+			}
+
+			// progress_handlers.fire
+			// fulfilled_handlers.fire
+			// rejected_handlers.fire
+			list.add( tuple[ 3 ].fire );
+
+			// deferred.notify = function() { deferred.notifyWith(...) }
+			// deferred.resolve = function() { deferred.resolveWith(...) }
+			// deferred.reject = function() { deferred.rejectWith(...) }
+			deferred[ tuple[ 0 ] ] = function() {
+				deferred[ tuple[ 0 ] + "With" ]( this === deferred ? undefined : this, arguments );
+				return this;
+			};
+
+			// deferred.notifyWith = list.fireWith
+			// deferred.resolveWith = list.fireWith
+			// deferred.rejectWith = list.fireWith
+			deferred[ tuple[ 0 ] + "With" ] = list.fireWith;
+		} );
+
+		// Make the deferred a promise
+		promise.promise( deferred );
+
+		// Call given func if any
+		if ( func ) {
+			func.call( deferred, deferred );
+		}
+
+		// All done!
+		return deferred;
+	},
+
+	// Deferred helper
+	when: function( singleValue ) {
+		var
+
+			// count of uncompleted subordinates
+			remaining = arguments.length,
+
+			// count of unprocessed arguments
+			i = remaining,
+
+			// subordinate fulfillment data
+			resolveContexts = Array( i ),
+			resolveValues = slice.call( arguments ),
+
+			// the master Deferred
+			master = jQuery.Deferred(),
+
+			// subordinate callback factory
+			updateFunc = function( i ) {
+				return function( value ) {
+					resolveContexts[ i ] = this;
+					resolveValues[ i ] = arguments.length > 1 ? slice.call( arguments ) : value;
+					if ( !( --remaining ) ) {
+						master.resolveWith( resolveContexts, resolveValues );
+					}
+				};
+			};
+
+		// Single- and empty arguments are adopted like Promise.resolve
+		if ( remaining <= 1 ) {
+			adoptValue( singleValue, master.done( updateFunc( i ) ).resolve, master.reject,
+				!remaining );
+
+			// Use .then() to unwrap secondary thenables (cf. gh-3000)
+			if ( master.state() === "pending" ||
+				isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) {
+
+				return master.then();
+			}
+		}
+
+		// Multiple arguments are aggregated like Promise.all array elements
+		while ( i-- ) {
+			adoptValue( resolveValues[ i ], updateFunc( i ), master.reject );
+		}
+
+		return master.promise();
+	}
+} );
+
+
+// These usually indicate a programmer mistake during development,
+// warn about them ASAP rather than swallowing them by default.
+var rerrorNames = /^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;
+
+jQuery.Deferred.exceptionHook = function( error, stack ) {
+
+	// Support: IE 8 - 9 only
+	// Console exists when dev tools are open, which can happen at any time
+	if ( window.console && window.console.warn && error && rerrorNames.test( error.name ) ) {
+		window.console.warn( "jQuery.Deferred exception: " + error.message, error.stack, stack );
+	}
+};
+
+
+
+
+jQuery.readyException = function( error ) {
+	window.setTimeout( function() {
+		throw error;
+	} );
+};
+
+
+
+
+// The deferred used on DOM ready
+var readyList = jQuery.Deferred();
+
+jQuery.fn.ready = function( fn ) {
+
+	readyList
+		.then( fn )
+
+		// Wrap jQuery.readyException in a function so that the lookup
+		// happens at the time of error handling instead of callback
+		// registration.
+		.catch( function( error ) {
+			jQuery.readyException( error );
+		} );
+
+	return this;
+};
+
+jQuery.extend( {
+
+	// Is the DOM ready to be used? Set to true once it occurs.
+	isReady: false,
+
+	// A counter to track how many items to wait for before
+	// the ready event fires. See #6781
+	readyWait: 1,
+
+	// Handle when the DOM is ready
+	ready: function( wait ) {
+
+		// Abort if there are pending holds or we're already ready
+		if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) {
+			return;
+		}
+
+		// Remember that the DOM is ready
+		jQuery.isReady = true;
+
+		// If a normal DOM Ready event fired, decrement, and wait if need be
+		if ( wait !== true && --jQuery.readyWait > 0 ) {
+			return;
+		}
+
+		// If there are functions bound, to execute
+		readyList.resolveWith( document, [ jQuery ] );
+	}
+} );
+
+jQuery.ready.then = readyList.then;
+
+// The ready event handler and self cleanup method
+function completed() {
+	document.removeEventListener( "DOMContentLoaded", completed );
+	window.removeEventListener( "load", completed );
+	jQuery.ready();
+}
+
+// Catch cases where $(document).ready() is called
+// after the browser event has already occurred.
+// Support: IE <=9 - 10 only
+// Older IE sometimes signals "interactive" too soon
+if ( document.readyState === "complete" ||
+	( document.readyState !== "loading" && !document.documentElement.doScroll ) ) {
+
+	// Handle it asynchronously to allow scripts the opportunity to delay ready
+	window.setTimeout( jQuery.ready );
+
+} else {
+
+	// Use the handy event callback
+	document.addEventListener( "DOMContentLoaded", completed );
+
+	// A fallback to window.onload, that will always work
+	window.addEventListener( "load", completed );
+}
+
+
+
+
+// Multifunctional method to get and set values of a collection
+// The value/s can optionally be executed if it's a function
+var access = function( elems, fn, key, value, chainable, emptyGet, raw ) {
+	var i = 0,
+		len = elems.length,
+		bulk = key == null;
+
+	// Sets many values
+	if ( toType( key ) === "object" ) {
+		chainable = true;
+		for ( i in key ) {
+			access( elems, fn, i, key[ i ], true, emptyGet, raw );
+		}
+
+	// Sets one value
+	} else if ( value !== undefined ) {
+		chainable = true;
+
+		if ( !isFunction( value ) ) {
+			raw = true;
+		}
+
+		if ( bulk ) {
+
+			// Bulk operations run against the entire set
+			if ( raw ) {
+				fn.call( elems, value );
+				fn = null;
+
+			// ...except when executing function values
+			} else {
+				bulk = fn;
+				fn = function( elem, _key, value ) {
+					return bulk.call( jQuery( elem ), value );
+				};
+			}
+		}
+
+		if ( fn ) {
+			for ( ; i < len; i++ ) {
+				fn(
+					elems[ i ], key, raw ?
+					value :
+					value.call( elems[ i ], i, fn( elems[ i ], key ) )
+				);
+			}
+		}
+	}
+
+	if ( chainable ) {
+		return elems;
+	}
+
+	// Gets
+	if ( bulk ) {
+		return fn.call( elems );
+	}
+
+	return len ? fn( elems[ 0 ], key ) : emptyGet;
+};
+
+
+// Matches dashed string for camelizing
+var rmsPrefix = /^-ms-/,
+	rdashAlpha = /-([a-z])/g;
+
+// Used by camelCase as callback to replace()
+function fcamelCase( _all, letter ) {
+	return letter.toUpperCase();
+}
+
+// Convert dashed to camelCase; used by the css and data modules
+// Support: IE <=9 - 11, Edge 12 - 15
+// Microsoft forgot to hump their vendor prefix (#9572)
+function camelCase( string ) {
+	return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase );
+}
+var acceptData = function( owner ) {
+
+	// Accepts only:
+	//  - Node
+	//    - Node.ELEMENT_NODE
+	//    - Node.DOCUMENT_NODE
+	//  - Object
+	//    - Any
+	return owner.nodeType === 1 || owner.nodeType === 9 || !( +owner.nodeType );
+};
+
+
+
+
+function Data() {
+	this.expando = jQuery.expando + Data.uid++;
+}
+
+Data.uid = 1;
+
+Data.prototype = {
+
+	cache: function( owner ) {
+
+		// Check if the owner object already has a cache
+		var value = owner[ this.expando ];
+
+		// If not, create one
+		if ( !value ) {
+			value = {};
+
+			// We can accept data for non-element nodes in modern browsers,
+			// but we should not, see #8335.
+			// Always return an empty object.
+			if ( acceptData( owner ) ) {
+
+				// If it is a node unlikely to be stringify-ed or looped over
+				// use plain assignment
+				if ( owner.nodeType ) {
+					owner[ this.expando ] = value;
+
+				// Otherwise secure it in a non-enumerable property
+				// configurable must be true to allow the property to be
+				// deleted when data is removed
+				} else {
+					Object.defineProperty( owner, this.expando, {
+						value: value,
+						configurable: true
+					} );
+				}
+			}
+		}
+
+		return value;
+	},
+	set: function( owner, data, value ) {
+		var prop,
+			cache = this.cache( owner );
+
+		// Handle: [ owner, key, value ] args
+		// Always use camelCase key (gh-2257)
+		if ( typeof data === "string" ) {
+			cache[ camelCase( data ) ] = value;
+
+		// Handle: [ owner, { properties } ] args
+		} else {
+
+			// Copy the properties one-by-one to the cache object
+			for ( prop in data ) {
+				cache[ camelCase( prop ) ] = data[ prop ];
+			}
+		}
+		return cache;
+	},
+	get: function( owner, key ) {
+		return key === undefined ?
+			this.cache( owner ) :
+
+			// Always use camelCase key (gh-2257)
+			owner[ this.expando ] && owner[ this.expando ][ camelCase( key ) ];
+	},
+	access: function( owner, key, value ) {
+
+		// In cases where either:
+		//
+		//   1. No key was specified
+		//   2. A string key was specified, but no value provided
+		//
+		// Take the "read" path and allow the get method to determine
+		// which value to return, respectively either:
+		//
+		//   1. The entire cache object
+		//   2. The data stored at the key
+		//
+		if ( key === undefined ||
+				( ( key && typeof key === "string" ) && value === undefined ) ) {
+
+			return this.get( owner, key );
+		}
+
+		// When the key is not a string, or both a key and value
+		// are specified, set or extend (existing objects) with either:
+		//
+		//   1. An object of properties
+		//   2. A key and value
+		//
+		this.set( owner, key, value );
+
+		// Since the "set" path can have two possible entry points
+		// return the expected data based on which path was taken[*]
+		return value !== undefined ? value : key;
+	},
+	remove: function( owner, key ) {
+		var i,
+			cache = owner[ this.expando ];
+
+		if ( cache === undefined ) {
+			return;
+		}
+
+		if ( key !== undefined ) {
+
+			// Support array or space separated string of keys
+			if ( Array.isArray( key ) ) {
+
+				// If key is an array of keys...
+				// We always set camelCase keys, so remove that.
+				key = key.map( camelCase );
+			} else {
+				key = camelCase( key );
+
+				// If a key with the spaces exists, use it.
+				// Otherwise, create an array by matching non-whitespace
+				key = key in cache ?
+					[ key ] :
+					( key.match( rnothtmlwhite ) || [] );
+			}
+
+			i = key.length;
+
+			while ( i-- ) {
+				delete cache[ key[ i ] ];
+			}
+		}
+
+		// Remove the expando if there's no more data
+		if ( key === undefined || jQuery.isEmptyObject( cache ) ) {
+
+			// Support: Chrome <=35 - 45
+			// Webkit & Blink performance suffers when deleting properties
+			// from DOM nodes, so set to undefined instead
+			// https://bugs.chromium.org/p/chromium/issues/detail?id=378607 (bug restricted)
+			if ( owner.nodeType ) {
+				owner[ this.expando ] = undefined;
+			} else {
+				delete owner[ this.expando ];
+			}
+		}
+	},
+	hasData: function( owner ) {
+		var cache = owner[ this.expando ];
+		return cache !== undefined && !jQuery.isEmptyObject( cache );
+	}
+};
+var dataPriv = new Data();
+
+var dataUser = new Data();
+
+
+
+//	Implementation Summary
+//
+//	1. Enforce API surface and semantic compatibility with 1.9.x branch
+//	2. Improve the module's maintainability by reducing the storage
+//		paths to a single mechanism.
+//	3. Use the same single mechanism to support "private" and "user" data.
+//	4. _Never_ expose "private" data to user code (TODO: Drop _data, _removeData)
+//	5. Avoid exposing implementation details on user objects (eg. expando properties)
+//	6. Provide a clear path for implementation upgrade to WeakMap in 2014
+
+var rbrace = /^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,
+	rmultiDash = /[A-Z]/g;
+
+function getData( data ) {
+	if ( data === "true" ) {
+		return true;
+	}
+
+	if ( data === "false" ) {
+		return false;
+	}
+
+	if ( data === "null" ) {
+		return null;
+	}
+
+	// Only convert to a number if it doesn't change the string
+	if ( data === +data + "" ) {
+		return +data;
+	}
+
+	if ( rbrace.test( data ) ) {
+		return JSON.parse( data );
+	}
+
+	return data;
+}
+
+function dataAttr( elem, key, data ) {
+	var name;
+
+	// If nothing was found internally, try to fetch any
+	// data from the HTML5 data-* attribute
+	if ( data === undefined && elem.nodeType === 1 ) {
+		name = "data-" + key.replace( rmultiDash, "-$&" ).toLowerCase();
+		data = elem.getAttribute( name );
+
+		if ( typeof data === "string" ) {
+			try {
+				data = getData( data );
+			} catch ( e ) {}
+
+			// Make sure we set the data so it isn't changed later
+			dataUser.set( elem, key, data );
+		} else {
+			data = undefined;
+		}
+	}
+	return data;
+}
+
+jQuery.extend( {
+	hasData: function( elem ) {
+		return dataUser.hasData( elem ) || dataPriv.hasData( elem );
+	},
+
+	data: function( elem, name, data ) {
+		return dataUser.access( elem, name, data );
+	},
+
+	removeData: function( elem, name ) {
+		dataUser.remove( elem, name );
+	},
+
+	// TODO: Now that all calls to _data and _removeData have been replaced
+	// with direct calls to dataPriv methods, these can be deprecated.
+	_data: function( elem, name, data ) {
+		return dataPriv.access( elem, name, data );
+	},
+
+	_removeData: function( elem, name ) {
+		dataPriv.remove( elem, name );
+	}
+} );
+
+jQuery.fn.extend( {
+	data: function( key, value ) {
+		var i, name, data,
+			elem = this[ 0 ],
+			attrs = elem && elem.attributes;
+
+		// Gets all values
+		if ( key === undefined ) {
+			if ( this.length ) {
+				data = dataUser.get( elem );
+
+				if ( elem.nodeType === 1 && !dataPriv.get( elem, "hasDataAttrs" ) ) {
+					i = attrs.length;
+					while ( i-- ) {
+
+						// Support: IE 11 only
+						// The attrs elements can be null (#14894)
+						if ( attrs[ i ] ) {
+							name = attrs[ i ].name;
+							if ( name.indexOf( "data-" ) === 0 ) {
+								name = camelCase( name.slice( 5 ) );
+								dataAttr( elem, name, data[ name ] );
+							}
+						}
+					}
+					dataPriv.set( elem, "hasDataAttrs", true );
+				}
+			}
+
+			return data;
+		}
+
+		// Sets multiple values
+		if ( typeof key === "object" ) {
+			return this.each( function() {
+				dataUser.set( this, key );
+			} );
+		}
+
+		return access( this, function( value ) {
+			var data;
+
+			// The calling jQuery object (element matches) is not empty
+			// (and therefore has an element appears at this[ 0 ]) and the
+			// `value` parameter was not undefined. An empty jQuery object
+			// will result in `undefined` for elem = this[ 0 ] which will
+			// throw an exception if an attempt to read a data cache is made.
+			if ( elem && value === undefined ) {
+
+				// Attempt to get data from the cache
+				// The key will always be camelCased in Data
+				data = dataUser.get( elem, key );
+				if ( data !== undefined ) {
+					return data;
+				}
+
+				// Attempt to "discover" the data in
+				// HTML5 custom data-* attrs
+				data = dataAttr( elem, key );
+				if ( data !== undefined ) {
+					return data;
+				}
+
+				// We tried really hard, but the data doesn't exist.
+				return;
+			}
+
+			// Set the data...
+			this.each( function() {
+
+				// We always store the camelCased key
+				dataUser.set( this, key, value );
+			} );
+		}, null, value, arguments.length > 1, null, true );
+	},
+
+	removeData: function( key ) {
+		return this.each( function() {
+			dataUser.remove( this, key );
+		} );
+	}
+} );
+
+
+jQuery.extend( {
+	queue: function( elem, type, data ) {
+		var queue;
+
+		if ( elem ) {
+			type = ( type || "fx" ) + "queue";
+			queue = dataPriv.get( elem, type );
+
+			// Speed up dequeue by getting out quickly if this is just a lookup
+			if ( data ) {
+				if ( !queue || Array.isArray( data ) ) {
+					queue = dataPriv.access( elem, type, jQuery.makeArray( data ) );
+				} else {
+					queue.push( data );
+				}
+			}
+			return queue || [];
+		}
+	},
+
+	dequeue: function( elem, type ) {
+		type = type || "fx";
+
+		var queue = jQuery.queue( elem, type ),
+			startLength = queue.length,
+			fn = queue.shift(),
+			hooks = jQuery._queueHooks( elem, type ),
+			next = function() {
+				jQuery.dequeue( elem, type );
+			};
+
+		// If the fx queue is dequeued, always remove the progress sentinel
+		if ( fn === "inprogress" ) {
+			fn = queue.shift();
+			startLength--;
+		}
+
+		if ( fn ) {
+
+			// Add a progress sentinel to prevent the fx queue from being
+			// automatically dequeued
+			if ( type === "fx" ) {
+				queue.unshift( "inprogress" );
+			}
+
+			// Clear up the last queue stop function
+			delete hooks.stop;
+			fn.call( elem, next, hooks );
+		}
+
+		if ( !startLength && hooks ) {
+			hooks.empty.fire();
+		}
+	},
+
+	// Not public - generate a queueHooks object, or return the current one
+	_queueHooks: function( elem, type ) {
+		var key = type + "queueHooks";
+		return dataPriv.get( elem, key ) || dataPriv.access( elem, key, {
+			empty: jQuery.Callbacks( "once memory" ).add( function() {
+				dataPriv.remove( elem, [ type + "queue", key ] );
+			} )
+		} );
+	}
+} );
+
+jQuery.fn.extend( {
+	queue: function( type, data ) {
+		var setter = 2;
+
+		if ( typeof type !== "string" ) {
+			data = type;
+			type = "fx";
+			setter--;
+		}
+
+		if ( arguments.length < setter ) {
+			return jQuery.queue( this[ 0 ], type );
+		}
+
+		return data === undefined ?
+			this :
+			this.each( function() {
+				var queue = jQuery.queue( this, type, data );
+
+				// Ensure a hooks for this queue
+				jQuery._queueHooks( this, type );
+
+				if ( type === "fx" && queue[ 0 ] !== "inprogress" ) {
+					jQuery.dequeue( this, type );
+				}
+			} );
+	},
+	dequeue: function( type ) {
+		return this.each( function() {
+			jQuery.dequeue( this, type );
+		} );
+	},
+	clearQueue: function( type ) {
+		return this.queue( type || "fx", [] );
+	},
+
+	// Get a promise resolved when queues of a certain type
+	// are emptied (fx is the type by default)
+	promise: function( type, obj ) {
+		var tmp,
+			count = 1,
+			defer = jQuery.Deferred(),
+			elements = this,
+			i = this.length,
+			resolve = function() {
+				if ( !( --count ) ) {
+					defer.resolveWith( elements, [ elements ] );
+				}
+			};
+
+		if ( typeof type !== "string" ) {
+			obj = type;
+			type = undefined;
+		}
+		type = type || "fx";
+
+		while ( i-- ) {
+			tmp = dataPriv.get( elements[ i ], type + "queueHooks" );
+			if ( tmp && tmp.empty ) {
+				count++;
+				tmp.empty.add( resolve );
+			}
+		}
+		resolve();
+		return defer.promise( obj );
+	}
+} );
+var pnum = ( /[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/ ).source;
+
+var rcssNum = new RegExp( "^(?:([+-])=|)(" + pnum + ")([a-z%]*)$", "i" );
+
+
+var cssExpand = [ "Top", "Right", "Bottom", "Left" ];
+
+var documentElement = document.documentElement;
+
+
+
+	var isAttached = function( elem ) {
+			return jQuery.contains( elem.ownerDocument, elem );
+		},
+		composed = { composed: true };
+
+	// Support: IE 9 - 11+, Edge 12 - 18+, iOS 10.0 - 10.2 only
+	// Check attachment across shadow DOM boundaries when possible (gh-3504)
+	// Support: iOS 10.0-10.2 only
+	// Early iOS 10 versions support `attachShadow` but not `getRootNode`,
+	// leading to errors. We need to check for `getRootNode`.
+	if ( documentElement.getRootNode ) {
+		isAttached = function( elem ) {
+			return jQuery.contains( elem.ownerDocument, elem ) ||
+				elem.getRootNode( composed ) === elem.ownerDocument;
+		};
+	}
+var isHiddenWithinTree = function( elem, el ) {
+
+		// isHiddenWithinTree might be called from jQuery#filter function;
+		// in that case, element will be second argument
+		elem = el || elem;
+
+		// Inline style trumps all
+		return elem.style.display === "none" ||
+			elem.style.display === "" &&
+
+			// Otherwise, check computed style
+			// Support: Firefox <=43 - 45
+			// Disconnected elements can have computed display: none, so first confirm that elem is
+			// in the document.
+			isAttached( elem ) &&
+
+			jQuery.css( elem, "display" ) === "none";
+	};
+
+
+
+function adjustCSS( elem, prop, valueParts, tween ) {
+	var adjusted, scale,
+		maxIterations = 20,
+		currentValue = tween ?
+			function() {
+				return tween.cur();
+			} :
+			function() {
+				return jQuery.css( elem, prop, "" );
+			},
+		initial = currentValue(),
+		unit = valueParts && valueParts[ 3 ] || ( jQuery.cssNumber[ prop ] ? "" : "px" ),
+
+		// Starting value computation is required for potential unit mismatches
+		initialInUnit = elem.nodeType &&
+			( jQuery.cssNumber[ prop ] || unit !== "px" && +initial ) &&
+			rcssNum.exec( jQuery.css( elem, prop ) );
+
+	if ( initialInUnit && initialInUnit[ 3 ] !== unit ) {
+
+		// Support: Firefox <=54
+		// Halve the iteration target value to prevent interference from CSS upper bounds (gh-2144)
+		initial = initial / 2;
+
+		// Trust units reported by jQuery.css
+		unit = unit || initialInUnit[ 3 ];
+
+		// Iteratively approximate from a nonzero starting point
+		initialInUnit = +initial || 1;
+
+		while ( maxIterations-- ) {
+
+			// Evaluate and update our best guess (doubling guesses that zero out).
+			// Finish if the scale equals or crosses 1 (making the old*new product non-positive).
+			jQuery.style( elem, prop, initialInUnit + unit );
+			if ( ( 1 - scale ) * ( 1 - ( scale = currentValue() / initial || 0.5 ) ) <= 0 ) {
+				maxIterations = 0;
+			}
+			initialInUnit = initialInUnit / scale;
+
+		}
+
+		initialInUnit = initialInUnit * 2;
+		jQuery.style( elem, prop, initialInUnit + unit );
+
+		// Make sure we update the tween properties later on
+		valueParts = valueParts || [];
+	}
+
+	if ( valueParts ) {
+		initialInUnit = +initialInUnit || +initial || 0;
+
+		// Apply relative offset (+=/-=) if specified
+		adjusted = valueParts[ 1 ] ?
+			initialInUnit + ( valueParts[ 1 ] + 1 ) * valueParts[ 2 ] :
+			+valueParts[ 2 ];
+		if ( tween ) {
+			tween.unit = unit;
+			tween.start = initialInUnit;
+			tween.end = adjusted;
+		}
+	}
+	return adjusted;
+}
+
+
+var defaultDisplayMap = {};
+
+function getDefaultDisplay( elem ) {
+	var temp,
+		doc = elem.ownerDocument,
+		nodeName = elem.nodeName,
+		display = defaultDisplayMap[ nodeName ];
+
+	if ( display ) {
+		return display;
+	}
+
+	temp = doc.body.appendChild( doc.createElement( nodeName ) );
+	display = jQuery.css( temp, "display" );
+
+	temp.parentNode.removeChild( temp );
+
+	if ( display === "none" ) {
+		display = "block";
+	}
+	defaultDisplayMap[ nodeName ] = display;
+
+	return display;
+}
+
+function showHide( elements, show ) {
+	var display, elem,
+		values = [],
+		index = 0,
+		length = elements.length;
+
+	// Determine new display value for elements that need to change
+	for ( ; index < length; index++ ) {
+		elem = elements[ index ];
+		if ( !elem.style ) {
+			continue;
+		}
+
+		display = elem.style.display;
+		if ( show ) {
+
+			// Since we force visibility upon cascade-hidden elements, an immediate (and slow)
+			// check is required in this first loop unless we have a nonempty display value (either
+			// inline or about-to-be-restored)
+			if ( display === "none" ) {
+				values[ index ] = dataPriv.get( elem, "display" ) || null;
+				if ( !values[ index ] ) {
+					elem.style.display = "";
+				}
+			}
+			if ( elem.style.display === "" && isHiddenWithinTree( elem ) ) {
+				values[ index ] = getDefaultDisplay( elem );
+			}
+		} else {
+			if ( display !== "none" ) {
+				values[ index ] = "none";
+
+				// Remember what we're overwriting
+				dataPriv.set( elem, "display", display );
+			}
+		}
+	}
+
+	// Set the display of the elements in a second loop to avoid constant reflow
+	for ( index = 0; index < length; index++ ) {
+		if ( values[ index ] != null ) {
+			elements[ index ].style.display = values[ index ];
+		}
+	}
+
+	return elements;
+}
+
+jQuery.fn.extend( {
+	show: function() {
+		return showHide( this, true );
+	},
+	hide: function() {
+		return showHide( this );
+	},
+	toggle: function( state ) {
+		if ( typeof state === "boolean" ) {
+			return state ? this.show() : this.hide();
+		}
+
+		return this.each( function() {
+			if ( isHiddenWithinTree( this ) ) {
+				jQuery( this ).show();
+			} else {
+				jQuery( this ).hide();
+			}
+		} );
+	}
+} );
+var rcheckableType = ( /^(?:checkbox|radio)$/i );
+
+var rtagName = ( /<([a-z][^\/\0>\x20\t\r\n\f]*)/i );
+
+var rscriptType = ( /^$|^module$|\/(?:java|ecma)script/i );
+
+
+
+( function() {
+	var fragment = document.createDocumentFragment(),
+		div = fragment.appendChild( document.createElement( "div" ) ),
+		input = document.createElement( "input" );
+
+	// Support: Android 4.0 - 4.3 only
+	// Check state lost if the name is set (#11217)
+	// Support: Windows Web Apps (WWA)
+	// `name` and `type` must use .setAttribute for WWA (#14901)
+	input.setAttribute( "type", "radio" );
+	input.setAttribute( "checked", "checked" );
+	input.setAttribute( "name", "t" );
+
+	div.appendChild( input );
+
+	// Support: Android <=4.1 only
+	// Older WebKit doesn't clone checked state correctly in fragments
+	support.checkClone = div.cloneNode( true ).cloneNode( true ).lastChild.checked;
+
+	// Support: IE <=11 only
+	// Make sure textarea (and checkbox) defaultValue is properly cloned
+	div.innerHTML = "<textarea>x</textarea>";
+	support.noCloneChecked = !!div.cloneNode( true ).lastChild.defaultValue;
+
+	// Support: IE <=9 only
+	// IE <=9 replaces <option> tags with their contents when inserted outside of
+	// the select element.
+	div.innerHTML = "<option></option>";
+	support.option = !!div.lastChild;
+} )();
+
+
+// We have to close these tags to support XHTML (#13200)
+var wrapMap = {
+
+	// XHTML parsers do not magically insert elements in the
+	// same way that tag soup parsers do. So we cannot shorten
+	// this by omitting <tbody> or other required elements.
+	thead: [ 1, "<table>", "</table>" ],
+	col: [ 2, "<table><colgroup>", "</colgroup></table>" ],
+	tr: [ 2, "<table><tbody>", "</tbody></table>" ],
+	td: [ 3, "<table><tbody><tr>", "</tr></tbody></table>" ],
+
+	_default: [ 0, "", "" ]
+};
+
+wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.thead;
+wrapMap.th = wrapMap.td;
+
+// Support: IE <=9 only
+if ( !support.option ) {
+	wrapMap.optgroup = wrapMap.option = [ 1, "<select multiple='multiple'>", "</select>" ];
+}
+
+
+function getAll( context, tag ) {
+
+	// Support: IE <=9 - 11 only
+	// Use typeof to avoid zero-argument method invocation on host objects (#15151)
+	var ret;
+
+	if ( typeof context.getElementsByTagName !== "undefined" ) {
+		ret = context.getElementsByTagName( tag || "*" );
+
+	} else if ( typeof context.querySelectorAll !== "undefined" ) {
+		ret = context.querySelectorAll( tag || "*" );
+
+	} else {
+		ret = [];
+	}
+
+	if ( tag === undefined || tag && nodeName( context, tag ) ) {
+		return jQuery.merge( [ context ], ret );
+	}
+
+	return ret;
+}
+
+
+// Mark scripts as having already been evaluated
+function setGlobalEval( elems, refElements ) {
+	var i = 0,
+		l = elems.length;
+
+	for ( ; i < l; i++ ) {
+		dataPriv.set(
+			elems[ i ],
+			"globalEval",
+			!refElements || dataPriv.get( refElements[ i ], "globalEval" )
+		);
+	}
+}
+
+
+var rhtml = /<|&#?\w+;/;
+
+function buildFragment( elems, context, scripts, selection, ignored ) {
+	var elem, tmp, tag, wrap, attached, j,
+		fragment = context.createDocumentFragment(),
+		nodes = [],
+		i = 0,
+		l = elems.length;
+
+	for ( ; i < l; i++ ) {
+		elem = elems[ i ];
+
+		if ( elem || elem === 0 ) {
+
+			// Add nodes directly
+			if ( toType( elem ) === "object" ) {
+
+				// Support: Android <=4.0 only, PhantomJS 1 only
+				// push.apply(_, arraylike) throws on ancient WebKit
+				jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem );
+
+			// Convert non-html into a text node
+			} else if ( !rhtml.test( elem ) ) {
+				nodes.push( context.createTextNode( elem ) );
+
+			// Convert html into DOM nodes
+			} else {
+				tmp = tmp || fragment.appendChild( context.createElement( "div" ) );
+
+				// Deserialize a standard representation
+				tag = ( rtagName.exec( elem ) || [ "", "" ] )[ 1 ].toLowerCase();
+				wrap = wrapMap[ tag ] || wrapMap._default;
+				tmp.innerHTML = wrap[ 1 ] + jQuery.htmlPrefilter( elem ) + wrap[ 2 ];
+
+				// Descend through wrappers to the right content
+				j = wrap[ 0 ];
+				while ( j-- ) {
+					tmp = tmp.lastChild;
+				}
+
+				// Support: Android <=4.0 only, PhantomJS 1 only
+				// push.apply(_, arraylike) throws on ancient WebKit
+				jQuery.merge( nodes, tmp.childNodes );
+
+				// Remember the top-level container
+				tmp = fragment.firstChild;
+
+				// Ensure the created nodes are orphaned (#12392)
+				tmp.textContent = "";
+			}
+		}
+	}
+
+	// Remove wrapper from fragment
+	fragment.textContent = "";
+
+	i = 0;
+	while ( ( elem = nodes[ i++ ] ) ) {
+
+		// Skip elements already in the context collection (trac-4087)
+		if ( selection && jQuery.inArray( elem, selection ) > -1 ) {
+			if ( ignored ) {
+				ignored.push( elem );
+			}
+			continue;
+		}
+
+		attached = isAttached( elem );
+
+		// Append to fragment
+		tmp = getAll( fragment.appendChild( elem ), "script" );
+
+		// Preserve script evaluation history
+		if ( attached ) {
+			setGlobalEval( tmp );
+		}
+
+		// Capture executables
+		if ( scripts ) {
+			j = 0;
+			while ( ( elem = tmp[ j++ ] ) ) {
+				if ( rscriptType.test( elem.type || "" ) ) {
+					scripts.push( elem );
+				}
+			}
+		}
+	}
+
+	return fragment;
+}
+
+
+var
+	rkeyEvent = /^key/,
+	rmouseEvent = /^(?:mouse|pointer|contextmenu|drag|drop)|click/,
+	rtypenamespace = /^([^.]*)(?:\.(.+)|)/;
+
+function returnTrue() {
+	return true;
+}
+
+function returnFalse() {
+	return false;
+}
+
+// Support: IE <=9 - 11+
+// focus() and blur() are asynchronous, except when they are no-op.
+// So expect focus to be synchronous when the element is already active,
+// and blur to be synchronous when the element is not already active.
+// (focus and blur are always synchronous in other supported browsers,
+// this just defines when we can count on it).
+function expectSync( elem, type ) {
+	return ( elem === safeActiveElement() ) === ( type === "focus" );
+}
+
+// Support: IE <=9 only
+// Accessing document.activeElement can throw unexpectedly
+// https://bugs.jquery.com/ticket/13393
+function safeActiveElement() {
+	try {
+		return document.activeElement;
+	} catch ( err ) { }
+}
+
+function on( elem, types, selector, data, fn, one ) {
+	var origFn, type;
+
+	// Types can be a map of types/handlers
+	if ( typeof types === "object" ) {
+
+		// ( types-Object, selector, data )
+		if ( typeof selector !== "string" ) {
+
+			// ( types-Object, data )
+			data = data || selector;
+			selector = undefined;
+		}
+		for ( type in types ) {
+			on( elem, type, selector, data, types[ type ], one );
+		}
+		return elem;
+	}
+
+	if ( data == null && fn == null ) {
+
+		// ( types, fn )
+		fn = selector;
+		data = selector = undefined;
+	} else if ( fn == null ) {
+		if ( typeof selector === "string" ) {
+
+			// ( types, selector, fn )
+			fn = data;
+			data = undefined;
+		} else {
+
+			// ( types, data, fn )
+			fn = data;
+			data = selector;
+			selector = undefined;
+		}
+	}
+	if ( fn === false ) {
+		fn = returnFalse;
+	} else if ( !fn ) {
+		return elem;
+	}
+
+	if ( one === 1 ) {
+		origFn = fn;
+		fn = function( event ) {
+
+			// Can use an empty set, since event contains the info
+			jQuery().off( event );
+			return origFn.apply( this, arguments );
+		};
+
+		// Use same guid so caller can remove using origFn
+		fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ );
+	}
+	return elem.each( function() {
+		jQuery.event.add( this, types, fn, data, selector );
+	} );
+}
+
+/*
+ * Helper functions for managing events -- not part of the public interface.
+ * Props to Dean Edwards' addEvent library for many of the ideas.
+ */
+jQuery.event = {
+
+	global: {},
+
+	add: function( elem, types, handler, data, selector ) {
+
+		var handleObjIn, eventHandle, tmp,
+			events, t, handleObj,
+			special, handlers, type, namespaces, origType,
+			elemData = dataPriv.get( elem );
+
+		// Only attach events to objects that accept data
+		if ( !acceptData( elem ) ) {
+			return;
+		}
+
+		// Caller can pass in an object of custom data in lieu of the handler
+		if ( handler.handler ) {
+			handleObjIn = handler;
+			handler = handleObjIn.handler;
+			selector = handleObjIn.selector;
+		}
+
+		// Ensure that invalid selectors throw exceptions at attach time
+		// Evaluate against documentElement in case elem is a non-element node (e.g., document)
+		if ( selector ) {
+			jQuery.find.matchesSelector( documentElement, selector );
+		}
+
+		// Make sure that the handler has a unique ID, used to find/remove it later
+		if ( !handler.guid ) {
+			handler.guid = jQuery.guid++;
+		}
+
+		// Init the element's event structure and main handler, if this is the first
+		if ( !( events = elemData.events ) ) {
+			events = elemData.events = Object.create( null );
+		}
+		if ( !( eventHandle = elemData.handle ) ) {
+			eventHandle = elemData.handle = function( e ) {
+
+				// Discard the second event of a jQuery.event.trigger() and
+				// when an event is called after a page has unloaded
+				return typeof jQuery !== "undefined" && jQuery.event.triggered !== e.type ?
+					jQuery.event.dispatch.apply( elem, arguments ) : undefined;
+			};
+		}
+
+		// Handle multiple events separated by a space
+		types = ( types || "" ).match( rnothtmlwhite ) || [ "" ];
+		t = types.length;
+		while ( t-- ) {
+			tmp = rtypenamespace.exec( types[ t ] ) || [];
+			type = origType = tmp[ 1 ];
+			namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort();
+
+			// There *must* be a type, no attaching namespace-only handlers
+			if ( !type ) {
+				continue;
+			}
+
+			// If event changes its type, use the special event handlers for the changed type
+			special = jQuery.event.special[ type ] || {};
+
+			// If selector defined, determine special event api type, otherwise given type
+			type = ( selector ? special.delegateType : special.bindType ) || type;
+
+			// Update special based on newly reset type
+			special = jQuery.event.special[ type ] || {};
+
+			// handleObj is passed to all event handlers
+			handleObj = jQuery.extend( {
+				type: type,
+				origType: origType,
+				data: data,
+				handler: handler,
+				guid: handler.guid,
+				selector: selector,
+				needsContext: selector && jQuery.expr.match.needsContext.test( selector ),
+				namespace: namespaces.join( "." )
+			}, handleObjIn );
+
+			// Init the event handler queue if we're the first
+			if ( !( handlers = events[ type ] ) ) {
+				handlers = events[ type ] = [];
+				handlers.delegateCount = 0;
+
+				// Only use addEventListener if the special events handler returns false
+				if ( !special.setup ||
+					special.setup.call( elem, data, namespaces, eventHandle ) === false ) {
+
+					if ( elem.addEventListener ) {
+						elem.addEventListener( type, eventHandle );
+					}
+				}
+			}
+
+			if ( special.add ) {
+				special.add.call( elem, handleObj );
+
+				if ( !handleObj.handler.guid ) {
+					handleObj.handler.guid = handler.guid;
+				}
+			}
+
+			// Add to the element's handler list, delegates in front
+			if ( selector ) {
+				handlers.splice( handlers.delegateCount++, 0, handleObj );
+			} else {
+				handlers.push( handleObj );
+			}
+
+			// Keep track of which events have ever been used, for event optimization
+			jQuery.event.global[ type ] = true;
+		}
+
+	},
+
+	// Detach an event or set of events from an element
+	remove: function( elem, types, handler, selector, mappedTypes ) {
+
+		var j, origCount, tmp,
+			events, t, handleObj,
+			special, handlers, type, namespaces, origType,
+			elemData = dataPriv.hasData( elem ) && dataPriv.get( elem );
+
+		if ( !elemData || !( events = elemData.events ) ) {
+			return;
+		}
+
+		// Once for each type.namespace in types; type may be omitted
+		types = ( types || "" ).match( rnothtmlwhite ) || [ "" ];
+		t = types.length;
+		while ( t-- ) {
+			tmp = rtypenamespace.exec( types[ t ] ) || [];
+			type = origType = tmp[ 1 ];
+			namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort();
+
+			// Unbind all events (on this namespace, if provided) for the element
+			if ( !type ) {
+				for ( type in events ) {
+					jQuery.event.remove( elem, type + types[ t ], handler, selector, true );
+				}
+				continue;
+			}
+
+			special = jQuery.event.special[ type ] || {};
+			type = ( selector ? special.delegateType : special.bindType ) || type;
+			handlers = events[ type ] || [];
+			tmp = tmp[ 2 ] &&
+				new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" );
+
+			// Remove matching events
+			origCount = j = handlers.length;
+			while ( j-- ) {
+				handleObj = handlers[ j ];
+
+				if ( ( mappedTypes || origType === handleObj.origType ) &&
+					( !handler || handler.guid === handleObj.guid ) &&
+					( !tmp || tmp.test( handleObj.namespace ) ) &&
+					( !selector || selector === handleObj.selector ||
+						selector === "**" && handleObj.selector ) ) {
+					handlers.splice( j, 1 );
+
+					if ( handleObj.selector ) {
+						handlers.delegateCount--;
+					}
+					if ( special.remove ) {
+						special.remove.call( elem, handleObj );
+					}
+				}
+			}
+
+			// Remove generic event handler if we removed something and no more handlers exist
+			// (avoids potential for endless recursion during removal of special event handlers)
+			if ( origCount && !handlers.length ) {
+				if ( !special.teardown ||
+					special.teardown.call( elem, namespaces, elemData.handle ) === false ) {
+
+					jQuery.removeEvent( elem, type, elemData.handle );
+				}
+
+				delete events[ type ];
+			}
+		}
+
+		// Remove data and the expando if it's no longer used
+		if ( jQuery.isEmptyObject( events ) ) {
+			dataPriv.remove( elem, "handle events" );
+		}
+	},
+
+	dispatch: function( nativeEvent ) {
+
+		var i, j, ret, matched, handleObj, handlerQueue,
+			args = new Array( arguments.length ),
+
+			// Make a writable jQuery.Event from the native event object
+			event = jQuery.event.fix( nativeEvent ),
+
+			handlers = (
+					dataPriv.get( this, "events" ) || Object.create( null )
+				)[ event.type ] || [],
+			special = jQuery.event.special[ event.type ] || {};
+
+		// Use the fix-ed jQuery.Event rather than the (read-only) native event
+		args[ 0 ] = event;
+
+		for ( i = 1; i < arguments.length; i++ ) {
+			args[ i ] = arguments[ i ];
+		}
+
+		event.delegateTarget = this;
+
+		// Call the preDispatch hook for the mapped type, and let it bail if desired
+		if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) {
+			return;
+		}
+
+		// Determine handlers
+		handlerQueue = jQuery.event.handlers.call( this, event, handlers );
+
+		// Run delegates first; they may want to stop propagation beneath us
+		i = 0;
+		while ( ( matched = handlerQueue[ i++ ] ) && !event.isPropagationStopped() ) {
+			event.currentTarget = matched.elem;
+
+			j = 0;
+			while ( ( handleObj = matched.handlers[ j++ ] ) &&
+				!event.isImmediatePropagationStopped() ) {
+
+				// If the event is namespaced, then each handler is only invoked if it is
+				// specially universal or its namespaces are a superset of the event's.
+				if ( !event.rnamespace || handleObj.namespace === false ||
+					event.rnamespace.test( handleObj.namespace ) ) {
+
+					event.handleObj = handleObj;
+					event.data = handleObj.data;
+
+					ret = ( ( jQuery.event.special[ handleObj.origType ] || {} ).handle ||
+						handleObj.handler ).apply( matched.elem, args );
+
+					if ( ret !== undefined ) {
+						if ( ( event.result = ret ) === false ) {
+							event.preventDefault();
+							event.stopPropagation();
+						}
+					}
+				}
+			}
+		}
+
+		// Call the postDispatch hook for the mapped type
+		if ( special.postDispatch ) {
+			special.postDispatch.call( this, event );
+		}
+
+		return event.result;
+	},
+
+	handlers: function( event, handlers ) {
+		var i, handleObj, sel, matchedHandlers, matchedSelectors,
+			handlerQueue = [],
+			delegateCount = handlers.delegateCount,
+			cur = event.target;
+
+		// Find delegate handlers
+		if ( delegateCount &&
+
+			// Support: IE <=9
+			// Black-hole SVG <use> instance trees (trac-13180)
+			cur.nodeType &&
+
+			// Support: Firefox <=42
+			// Suppress spec-violating clicks indicating a non-primary pointer button (trac-3861)
+			// https://www.w3.org/TR/DOM-Level-3-Events/#event-type-click
+			// Support: IE 11 only
+			// ...but not arrow key "clicks" of radio inputs, which can have `button` -1 (gh-2343)
+			!( event.type === "click" && event.button >= 1 ) ) {
+
+			for ( ; cur !== this; cur = cur.parentNode || this ) {
+
+				// Don't check non-elements (#13208)
+				// Don't process clicks on disabled elements (#6911, #8165, #11382, #11764)
+				if ( cur.nodeType === 1 && !( event.type === "click" && cur.disabled === true ) ) {
+					matchedHandlers = [];
+					matchedSelectors = {};
+					for ( i = 0; i < delegateCount; i++ ) {
+						handleObj = handlers[ i ];
+
+						// Don't conflict with Object.prototype properties (#13203)
+						sel = handleObj.selector + " ";
+
+						if ( matchedSelectors[ sel ] === undefined ) {
+							matchedSelectors[ sel ] = handleObj.needsContext ?
+								jQuery( sel, this ).index( cur ) > -1 :
+								jQuery.find( sel, this, null, [ cur ] ).length;
+						}
+						if ( matchedSelectors[ sel ] ) {
+							matchedHandlers.push( handleObj );
+						}
+					}
+					if ( matchedHandlers.length ) {
+						handlerQueue.push( { elem: cur, handlers: matchedHandlers } );
+					}
+				}
+			}
+		}
+
+		// Add the remaining (directly-bound) handlers
+		cur = this;
+		if ( delegateCount < handlers.length ) {
+			handlerQueue.push( { elem: cur, handlers: handlers.slice( delegateCount ) } );
+		}
+
+		return handlerQueue;
+	},
+
+	addProp: function( name, hook ) {
+		Object.defineProperty( jQuery.Event.prototype, name, {
+			enumerable: true,
+			configurable: true,
+
+			get: isFunction( hook ) ?
+				function() {
+					if ( this.originalEvent ) {
+							return hook( this.originalEvent );
+					}
+				} :
+				function() {
+					if ( this.originalEvent ) {
+							return this.originalEvent[ name ];
+					}
+				},
+
+			set: function( value ) {
+				Object.defineProperty( this, name, {
+					enumerable: true,
+					configurable: true,
+					writable: true,
+					value: value
+				} );
+			}
+		} );
+	},
+
+	fix: function( originalEvent ) {
+		return originalEvent[ jQuery.expando ] ?
+			originalEvent :
+			new jQuery.Event( originalEvent );
+	},
+
+	special: {
+		load: {
+
+			// Prevent triggered image.load events from bubbling to window.load
+			noBubble: true
+		},
+		click: {
+
+			// Utilize native event to ensure correct state for checkable inputs
+			setup: function( data ) {
+
+				// For mutual compressibility with _default, replace `this` access with a local var.
+				// `|| data` is dead code meant only to preserve the variable through minification.
+				var el = this || data;
+
+				// Claim the first handler
+				if ( rcheckableType.test( el.type ) &&
+					el.click && nodeName( el, "input" ) ) {
+
+					// dataPriv.set( el, "click", ... )
+					leverageNative( el, "click", returnTrue );
+				}
+
+				// Return false to allow normal processing in the caller
+				return false;
+			},
+			trigger: function( data ) {
+
+				// For mutual compressibility with _default, replace `this` access with a local var.
+				// `|| data` is dead code meant only to preserve the variable through minification.
+				var el = this || data;
+
+				// Force setup before triggering a click
+				if ( rcheckableType.test( el.type ) &&
+					el.click && nodeName( el, "input" ) ) {
+
+					leverageNative( el, "click" );
+				}
+
+				// Return non-false to allow normal event-path propagation
+				return true;
+			},
+
+			// For cross-browser consistency, suppress native .click() on links
+			// Also prevent it if we're currently inside a leveraged native-event stack
+			_default: function( event ) {
+				var target = event.target;
+				return rcheckableType.test( target.type ) &&
+					target.click && nodeName( target, "input" ) &&
+					dataPriv.get( target, "click" ) ||
+					nodeName( target, "a" );
+			}
+		},
+
+		beforeunload: {
+			postDispatch: function( event ) {
+
+				// Support: Firefox 20+
+				// Firefox doesn't alert if the returnValue field is not set.
+				if ( event.result !== undefined && event.originalEvent ) {
+					event.originalEvent.returnValue = event.result;
+				}
+			}
+		}
+	}
+};
+
+// Ensure the presence of an event listener that handles manually-triggered
+// synthetic events by interrupting progress until reinvoked in response to
+// *native* events that it fires directly, ensuring that state changes have
+// already occurred before other listeners are invoked.
+function leverageNative( el, type, expectSync ) {
+
+	// Missing expectSync indicates a trigger call, which must force setup through jQuery.event.add
+	if ( !expectSync ) {
+		if ( dataPriv.get( el, type ) === undefined ) {
+			jQuery.event.add( el, type, returnTrue );
+		}
+		return;
+	}
+
+	// Register the controller as a special universal handler for all event namespaces
+	dataPriv.set( el, type, false );
+	jQuery.event.add( el, type, {
+		namespace: false,
+		handler: function( event ) {
+			var notAsync, result,
+				saved = dataPriv.get( this, type );
+
+			if ( ( event.isTrigger & 1 ) && this[ type ] ) {
+
+				// Interrupt processing of the outer synthetic .trigger()ed event
+				// Saved data should be false in such cases, but might be a leftover capture object
+				// from an async native handler (gh-4350)
+				if ( !saved.length ) {
+
+					// Store arguments for use when handling the inner native event
+					// There will always be at least one argument (an event object), so this array
+					// will not be confused with a leftover capture object.
+					saved = slice.call( arguments );
+					dataPriv.set( this, type, saved );
+
+					// Trigger the native event and capture its result
+					// Support: IE <=9 - 11+
+					// focus() and blur() are asynchronous
+					notAsync = expectSync( this, type );
+					this[ type ]();
+					result = dataPriv.get( this, type );
+					if ( saved !== result || notAsync ) {
+						dataPriv.set( this, type, false );
+					} else {
+						result = {};
+					}
+					if ( saved !== result ) {
+
+						// Cancel the outer synthetic event
+						event.stopImmediatePropagation();
+						event.preventDefault();
+						return result.value;
+					}
+
+				// If this is an inner synthetic event for an event with a bubbling surrogate
+				// (focus or blur), assume that the surrogate already propagated from triggering the
+				// native event and prevent that from happening again here.
+				// This technically gets the ordering wrong w.r.t. to `.trigger()` (in which the
+				// bubbling surrogate propagates *after* the non-bubbling base), but that seems
+				// less bad than duplication.
+				} else if ( ( jQuery.event.special[ type ] || {} ).delegateType ) {
+					event.stopPropagation();
+				}
+
+			// If this is a native event triggered above, everything is now in order
+			// Fire an inner synthetic event with the original arguments
+			} else if ( saved.length ) {
+
+				// ...and capture the result
+				dataPriv.set( this, type, {
+					value: jQuery.event.trigger(
+
+						// Support: IE <=9 - 11+
+						// Extend with the prototype to reset the above stopImmediatePropagation()
+						jQuery.extend( saved[ 0 ], jQuery.Event.prototype ),
+						saved.slice( 1 ),
+						this
+					)
+				} );
+
+				// Abort handling of the native event
+				event.stopImmediatePropagation();
+			}
+		}
+	} );
+}
+
+jQuery.removeEvent = function( elem, type, handle ) {
+
+	// This "if" is needed for plain objects
+	if ( elem.removeEventListener ) {
+		elem.removeEventListener( type, handle );
+	}
+};
+
+jQuery.Event = function( src, props ) {
+
+	// Allow instantiation without the 'new' keyword
+	if ( !( this instanceof jQuery.Event ) ) {
+		return new jQuery.Event( src, props );
+	}
+
+	// Event object
+	if ( src && src.type ) {
+		this.originalEvent = src;
+		this.type = src.type;
+
+		// Events bubbling up the document may have been marked as prevented
+		// by a handler lower down the tree; reflect the correct value.
+		this.isDefaultPrevented = src.defaultPrevented ||
+				src.defaultPrevented === undefined &&
+
+				// Support: Android <=2.3 only
+				src.returnValue === false ?
+			returnTrue :
+			returnFalse;
+
+		// Create target properties
+		// Support: Safari <=6 - 7 only
+		// Target should not be a text node (#504, #13143)
+		this.target = ( src.target && src.target.nodeType === 3 ) ?
+			src.target.parentNode :
+			src.target;
+
+		this.currentTarget = src.currentTarget;
+		this.relatedTarget = src.relatedTarget;
+
+	// Event type
+	} else {
+		this.type = src;
+	}
+
+	// Put explicitly provided properties onto the event object
+	if ( props ) {
+		jQuery.extend( this, props );
+	}
+
+	// Create a timestamp if incoming event doesn't have one
+	this.timeStamp = src && src.timeStamp || Date.now();
+
+	// Mark it as fixed
+	this[ jQuery.expando ] = true;
+};
+
+// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding
+// https://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html
+jQuery.Event.prototype = {
+	constructor: jQuery.Event,
+	isDefaultPrevented: returnFalse,
+	isPropagationStopped: returnFalse,
+	isImmediatePropagationStopped: returnFalse,
+	isSimulated: false,
+
+	preventDefault: function() {
+		var e = this.originalEvent;
+
+		this.isDefaultPrevented = returnTrue;
+
+		if ( e && !this.isSimulated ) {
+			e.preventDefault();
+		}
+	},
+	stopPropagation: function() {
+		var e = this.originalEvent;
+
+		this.isPropagationStopped = returnTrue;
+
+		if ( e && !this.isSimulated ) {
+			e.stopPropagation();
+		}
+	},
+	stopImmediatePropagation: function() {
+		var e = this.originalEvent;
+
+		this.isImmediatePropagationStopped = returnTrue;
+
+		if ( e && !this.isSimulated ) {
+			e.stopImmediatePropagation();
+		}
+
+		this.stopPropagation();
+	}
+};
+
+// Includes all common event props including KeyEvent and MouseEvent specific props
+jQuery.each( {
+	altKey: true,
+	bubbles: true,
+	cancelable: true,
+	changedTouches: true,
+	ctrlKey: true,
+	detail: true,
+	eventPhase: true,
+	metaKey: true,
+	pageX: true,
+	pageY: true,
+	shiftKey: true,
+	view: true,
+	"char": true,
+	code: true,
+	charCode: true,
+	key: true,
+	keyCode: true,
+	button: true,
+	buttons: true,
+	clientX: true,
+	clientY: true,
+	offsetX: true,
+	offsetY: true,
+	pointerId: true,
+	pointerType: true,
+	screenX: true,
+	screenY: true,
+	targetTouches: true,
+	toElement: true,
+	touches: true,
+
+	which: function( event ) {
+		var button = event.button;
+
+		// Add which for key events
+		if ( event.which == null && rkeyEvent.test( event.type ) ) {
+			return event.charCode != null ? event.charCode : event.keyCode;
+		}
+
+		// Add which for click: 1 === left; 2 === middle; 3 === right
+		if ( !event.which && button !== undefined && rmouseEvent.test( event.type ) ) {
+			if ( button & 1 ) {
+				return 1;
+			}
+
+			if ( button & 2 ) {
+				return 3;
+			}
+
+			if ( button & 4 ) {
+				return 2;
+			}
+
+			return 0;
+		}
+
+		return event.which;
+	}
+}, jQuery.event.addProp );
+
+jQuery.each( { focus: "focusin", blur: "focusout" }, function( type, delegateType ) {
+	jQuery.event.special[ type ] = {
+
+		// Utilize native event if possible so blur/focus sequence is correct
+		setup: function() {
+
+			// Claim the first handler
+			// dataPriv.set( this, "focus", ... )
+			// dataPriv.set( this, "blur", ... )
+			leverageNative( this, type, expectSync );
+
+			// Return false to allow normal processing in the caller
+			return false;
+		},
+		trigger: function() {
+
+			// Force setup before trigger
+			leverageNative( this, type );
+
+			// Return non-false to allow normal event-path propagation
+			return true;
+		},
+
+		delegateType: delegateType
+	};
+} );
+
+// Create mouseenter/leave events using mouseover/out and event-time checks
+// so that event delegation works in jQuery.
+// Do the same for pointerenter/pointerleave and pointerover/pointerout
+//
+// Support: Safari 7 only
+// Safari sends mouseenter too often; see:
+// https://bugs.chromium.org/p/chromium/issues/detail?id=470258
+// for the description of the bug (it existed in older Chrome versions as well).
+jQuery.each( {
+	mouseenter: "mouseover",
+	mouseleave: "mouseout",
+	pointerenter: "pointerover",
+	pointerleave: "pointerout"
+}, function( orig, fix ) {
+	jQuery.event.special[ orig ] = {
+		delegateType: fix,
+		bindType: fix,
+
+		handle: function( event ) {
+			var ret,
+				target = this,
+				related = event.relatedTarget,
+				handleObj = event.handleObj;
+
+			// For mouseenter/leave call the handler if related is outside the target.
+			// NB: No relatedTarget if the mouse left/entered the browser window
+			if ( !related || ( related !== target && !jQuery.contains( target, related ) ) ) {
+				event.type = handleObj.origType;
+				ret = handleObj.handler.apply( this, arguments );
+				event.type = fix;
+			}
+			return ret;
+		}
+	};
+} );
+
+jQuery.fn.extend( {
+
+	on: function( types, selector, data, fn ) {
+		return on( this, types, selector, data, fn );
+	},
+	one: function( types, selector, data, fn ) {
+		return on( this, types, selector, data, fn, 1 );
+	},
+	off: function( types, selector, fn ) {
+		var handleObj, type;
+		if ( types && types.preventDefault && types.handleObj ) {
+
+			// ( event )  dispatched jQuery.Event
+			handleObj = types.handleObj;
+			jQuery( types.delegateTarget ).off(
+				handleObj.namespace ?
+					handleObj.origType + "." + handleObj.namespace :
+					handleObj.origType,
+				handleObj.selector,
+				handleObj.handler
+			);
+			return this;
+		}
+		if ( typeof types === "object" ) {
+
+			// ( types-object [, selector] )
+			for ( type in types ) {
+				this.off( type, selector, types[ type ] );
+			}
+			return this;
+		}
+		if ( selector === false || typeof selector === "function" ) {
+
+			// ( types [, fn] )
+			fn = selector;
+			selector = undefined;
+		}
+		if ( fn === false ) {
+			fn = returnFalse;
+		}
+		return this.each( function() {
+			jQuery.event.remove( this, types, fn, selector );
+		} );
+	}
+} );
+
+
+var
+
+	// Support: IE <=10 - 11, Edge 12 - 13 only
+	// In IE/Edge using regex groups here causes severe slowdowns.
+	// See https://connect.microsoft.com/IE/feedback/details/1736512/
+	rnoInnerhtml = /<script|<style|<link/i,
+
+	// checked="checked" or checked
+	rchecked = /checked\s*(?:[^=]|=\s*.checked.)/i,
+	rcleanScript = /^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;
+
+// Prefer a tbody over its parent table for containing new rows
+function manipulationTarget( elem, content ) {
+	if ( nodeName( elem, "table" ) &&
+		nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ) {
+
+		return jQuery( elem ).children( "tbody" )[ 0 ] || elem;
+	}
+
+	return elem;
+}
+
+// Replace/restore the type attribute of script elements for safe DOM manipulation
+function disableScript( elem ) {
+	elem.type = ( elem.getAttribute( "type" ) !== null ) + "/" + elem.type;
+	return elem;
+}
+function restoreScript( elem ) {
+	if ( ( elem.type || "" ).slice( 0, 5 ) === "true/" ) {
+		elem.type = elem.type.slice( 5 );
+	} else {
+		elem.removeAttribute( "type" );
+	}
+
+	return elem;
+}
+
+function cloneCopyEvent( src, dest ) {
+	var i, l, type, pdataOld, udataOld, udataCur, events;
+
+	if ( dest.nodeType !== 1 ) {
+		return;
+	}
+
+	// 1. Copy private data: events, handlers, etc.
+	if ( dataPriv.hasData( src ) ) {
+		pdataOld = dataPriv.get( src );
+		events = pdataOld.events;
+
+		if ( events ) {
+			dataPriv.remove( dest, "handle events" );
+
+			for ( type in events ) {
+				for ( i = 0, l = events[ type ].length; i < l; i++ ) {
+					jQuery.event.add( dest, type, events[ type ][ i ] );
+				}
+			}
+		}
+	}
+
+	// 2. Copy user data
+	if ( dataUser.hasData( src ) ) {
+		udataOld = dataUser.access( src );
+		udataCur = jQuery.extend( {}, udataOld );
+
+		dataUser.set( dest, udataCur );
+	}
+}
+
+// Fix IE bugs, see support tests
+function fixInput( src, dest ) {
+	var nodeName = dest.nodeName.toLowerCase();
+
+	// Fails to persist the checked state of a cloned checkbox or radio button.
+	if ( nodeName === "input" && rcheckableType.test( src.type ) ) {
+		dest.checked = src.checked;
+
+	// Fails to return the selected option to the default selected state when cloning options
+	} else if ( nodeName === "input" || nodeName === "textarea" ) {
+		dest.defaultValue = src.defaultValue;
+	}
+}
+
+function domManip( collection, args, callback, ignored ) {
+
+	// Flatten any nested arrays
+	args = flat( args );
+
+	var fragment, first, scripts, hasScripts, node, doc,
+		i = 0,
+		l = collection.length,
+		iNoClone = l - 1,
+		value = args[ 0 ],
+		valueIsFunction = isFunction( value );
+
+	// We can't cloneNode fragments that contain checked, in WebKit
+	if ( valueIsFunction ||
+			( l > 1 && typeof value === "string" &&
+				!support.checkClone && rchecked.test( value ) ) ) {
+		return collection.each( function( index ) {
+			var self = collection.eq( index );
+			if ( valueIsFunction ) {
+				args[ 0 ] = value.call( this, index, self.html() );
+			}
+			domManip( self, args, callback, ignored );
+		} );
+	}
+
+	if ( l ) {
+		fragment = buildFragment( args, collection[ 0 ].ownerDocument, false, collection, ignored );
+		first = fragment.firstChild;
+
+		if ( fragment.childNodes.length === 1 ) {
+			fragment = first;
+		}
+
+		// Require either new content or an interest in ignored elements to invoke the callback
+		if ( first || ignored ) {
+			scripts = jQuery.map( getAll( fragment, "script" ), disableScript );
+			hasScripts = scripts.length;
+
+			// Use the original fragment for the last item
+			// instead of the first because it can end up
+			// being emptied incorrectly in certain situations (#8070).
+			for ( ; i < l; i++ ) {
+				node = fragment;
+
+				if ( i !== iNoClone ) {
+					node = jQuery.clone( node, true, true );
+
+					// Keep references to cloned scripts for later restoration
+					if ( hasScripts ) {
+
+						// Support: Android <=4.0 only, PhantomJS 1 only
+						// push.apply(_, arraylike) throws on ancient WebKit
+						jQuery.merge( scripts, getAll( node, "script" ) );
+					}
+				}
+
+				callback.call( collection[ i ], node, i );
+			}
+
+			if ( hasScripts ) {
+				doc = scripts[ scripts.length - 1 ].ownerDocument;
+
+				// Reenable scripts
+				jQuery.map( scripts, restoreScript );
+
+				// Evaluate executable scripts on first document insertion
+				for ( i = 0; i < hasScripts; i++ ) {
+					node = scripts[ i ];
+					if ( rscriptType.test( node.type || "" ) &&
+						!dataPriv.access( node, "globalEval" ) &&
+						jQuery.contains( doc, node ) ) {
+
+						if ( node.src && ( node.type || "" ).toLowerCase()  !== "module" ) {
+
+							// Optional AJAX dependency, but won't run scripts if not present
+							if ( jQuery._evalUrl && !node.noModule ) {
+								jQuery._evalUrl( node.src, {
+									nonce: node.nonce || node.getAttribute( "nonce" )
+								}, doc );
+							}
+						} else {
+							DOMEval( node.textContent.replace( rcleanScript, "" ), node, doc );
+						}
+					}
+				}
+			}
+		}
+	}
+
+	return collection;
+}
+
+function remove( elem, selector, keepData ) {
+	var node,
+		nodes = selector ? jQuery.filter( selector, elem ) : elem,
+		i = 0;
+
+	for ( ; ( node = nodes[ i ] ) != null; i++ ) {
+		if ( !keepData && node.nodeType === 1 ) {
+			jQuery.cleanData( getAll( node ) );
+		}
+
+		if ( node.parentNode ) {
+			if ( keepData && isAttached( node ) ) {
+				setGlobalEval( getAll( node, "script" ) );
+			}
+			node.parentNode.removeChild( node );
+		}
+	}
+
+	return elem;
+}
+
+jQuery.extend( {
+	htmlPrefilter: function( html ) {
+		return html;
+	},
+
+	clone: function( elem, dataAndEvents, deepDataAndEvents ) {
+		var i, l, srcElements, destElements,
+			clone = elem.cloneNode( true ),
+			inPage = isAttached( elem );
+
+		// Fix IE cloning issues
+		if ( !support.noCloneChecked && ( elem.nodeType === 1 || elem.nodeType === 11 ) &&
+				!jQuery.isXMLDoc( elem ) ) {
+
+			// We eschew Sizzle here for performance reasons: https://jsperf.com/getall-vs-sizzle/2
+			destElements = getAll( clone );
+			srcElements = getAll( elem );
+
+			for ( i = 0, l = srcElements.length; i < l; i++ ) {
+				fixInput( srcElements[ i ], destElements[ i ] );
+			}
+		}
+
+		// Copy the events from the original to the clone
+		if ( dataAndEvents ) {
+			if ( deepDataAndEvents ) {
+				srcElements = srcElements || getAll( elem );
+				destElements = destElements || getAll( clone );
+
+				for ( i = 0, l = srcElements.length; i < l; i++ ) {
+					cloneCopyEvent( srcElements[ i ], destElements[ i ] );
+				}
+			} else {
+				cloneCopyEvent( elem, clone );
+			}
+		}
+
+		// Preserve script evaluation history
+		destElements = getAll( clone, "script" );
+		if ( destElements.length > 0 ) {
+			setGlobalEval( destElements, !inPage && getAll( elem, "script" ) );
+		}
+
+		// Return the cloned set
+		return clone;
+	},
+
+	cleanData: function( elems ) {
+		var data, elem, type,
+			special = jQuery.event.special,
+			i = 0;
+
+		for ( ; ( elem = elems[ i ] ) !== undefined; i++ ) {
+			if ( acceptData( elem ) ) {
+				if ( ( data = elem[ dataPriv.expando ] ) ) {
+					if ( data.events ) {
+						for ( type in data.events ) {
+							if ( special[ type ] ) {
+								jQuery.event.remove( elem, type );
+
+							// This is a shortcut to avoid jQuery.event.remove's overhead
+							} else {
+								jQuery.removeEvent( elem, type, data.handle );
+							}
+						}
+					}
+
+					// Support: Chrome <=35 - 45+
+					// Assign undefined instead of using delete, see Data#remove
+					elem[ dataPriv.expando ] = undefined;
+				}
+				if ( elem[ dataUser.expando ] ) {
+
+					// Support: Chrome <=35 - 45+
+					// Assign undefined instead of using delete, see Data#remove
+					elem[ dataUser.expando ] = undefined;
+				}
+			}
+		}
+	}
+} );
+
+jQuery.fn.extend( {
+	detach: function( selector ) {
+		return remove( this, selector, true );
+	},
+
+	remove: function( selector ) {
+		return remove( this, selector );
+	},
+
+	text: function( value ) {
+		return access( this, function( value ) {
+			return value === undefined ?
+				jQuery.text( this ) :
+				this.empty().each( function() {
+					if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+						this.textContent = value;
+					}
+				} );
+		}, null, value, arguments.length );
+	},
+
+	append: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+				var target = manipulationTarget( this, elem );
+				target.appendChild( elem );
+			}
+		} );
+	},
+
+	prepend: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+				var target = manipulationTarget( this, elem );
+				target.insertBefore( elem, target.firstChild );
+			}
+		} );
+	},
+
+	before: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.parentNode ) {
+				this.parentNode.insertBefore( elem, this );
+			}
+		} );
+	},
+
+	after: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.parentNode ) {
+				this.parentNode.insertBefore( elem, this.nextSibling );
+			}
+		} );
+	},
+
+	empty: function() {
+		var elem,
+			i = 0;
+
+		for ( ; ( elem = this[ i ] ) != null; i++ ) {
+			if ( elem.nodeType === 1 ) {
+
+				// Prevent memory leaks
+				jQuery.cleanData( getAll( elem, false ) );
+
+				// Remove any remaining nodes
+				elem.textContent = "";
+			}
+		}
+
+		return this;
+	},
+
+	clone: function( dataAndEvents, deepDataAndEvents ) {
+		dataAndEvents = dataAndEvents == null ? false : dataAndEvents;
+		deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents;
+
+		return this.map( function() {
+			return jQuery.clone( this, dataAndEvents, deepDataAndEvents );
+		} );
+	},
+
+	html: function( value ) {
+		return access( this, function( value ) {
+			var elem = this[ 0 ] || {},
+				i = 0,
+				l = this.length;
+
+			if ( value === undefined && elem.nodeType === 1 ) {
+				return elem.innerHTML;
+			}
+
+			// See if we can take a shortcut and just use innerHTML
+			if ( typeof value === "string" && !rnoInnerhtml.test( value ) &&
+				!wrapMap[ ( rtagName.exec( value ) || [ "", "" ] )[ 1 ].toLowerCase() ] ) {
+
+				value = jQuery.htmlPrefilter( value );
+
+				try {
+					for ( ; i < l; i++ ) {
+						elem = this[ i ] || {};
+
+						// Remove element nodes and prevent memory leaks
+						if ( elem.nodeType === 1 ) {
+							jQuery.cleanData( getAll( elem, false ) );
+							elem.innerHTML = value;
+						}
+					}
+
+					elem = 0;
+
+				// If using innerHTML throws an exception, use the fallback method
+				} catch ( e ) {}
+			}
+
+			if ( elem ) {
+				this.empty().append( value );
+			}
+		}, null, value, arguments.length );
+	},
+
+	replaceWith: function() {
+		var ignored = [];
+
+		// Make the changes, replacing each non-ignored context element with the new content
+		return domManip( this, arguments, function( elem ) {
+			var parent = this.parentNode;
+
+			if ( jQuery.inArray( this, ignored ) < 0 ) {
+				jQuery.cleanData( getAll( this ) );
+				if ( parent ) {
+					parent.replaceChild( elem, this );
+				}
+			}
+
+		// Force callback invocation
+		}, ignored );
+	}
+} );
+
+jQuery.each( {
+	appendTo: "append",
+	prependTo: "prepend",
+	insertBefore: "before",
+	insertAfter: "after",
+	replaceAll: "replaceWith"
+}, function( name, original ) {
+	jQuery.fn[ name ] = function( selector ) {
+		var elems,
+			ret = [],
+			insert = jQuery( selector ),
+			last = insert.length - 1,
+			i = 0;
+
+		for ( ; i <= last; i++ ) {
+			elems = i === last ? this : this.clone( true );
+			jQuery( insert[ i ] )[ original ]( elems );
+
+			// Support: Android <=4.0 only, PhantomJS 1 only
+			// .get() because push.apply(_, arraylike) throws on ancient WebKit
+			push.apply( ret, elems.get() );
+		}
+
+		return this.pushStack( ret );
+	};
+} );
+var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" );
+
+var getStyles = function( elem ) {
+
+		// Support: IE <=11 only, Firefox <=30 (#15098, #14150)
+		// IE throws on elements created in popups
+		// FF meanwhile throws on frame elements through "defaultView.getComputedStyle"
+		var view = elem.ownerDocument.defaultView;
+
+		if ( !view || !view.opener ) {
+			view = window;
+		}
+
+		return view.getComputedStyle( elem );
+	};
+
+var swap = function( elem, options, callback ) {
+	var ret, name,
+		old = {};
+
+	// Remember the old values, and insert the new ones
+	for ( name in options ) {
+		old[ name ] = elem.style[ name ];
+		elem.style[ name ] = options[ name ];
+	}
+
+	ret = callback.call( elem );
+
+	// Revert the old values
+	for ( name in options ) {
+		elem.style[ name ] = old[ name ];
+	}
+
+	return ret;
+};
+
+
+var rboxStyle = new RegExp( cssExpand.join( "|" ), "i" );
+
+
+
+( function() {
+
+	// Executing both pixelPosition & boxSizingReliable tests require only one layout
+	// so they're executed at the same time to save the second computation.
+	function computeStyleTests() {
+
+		// This is a singleton, we need to execute it only once
+		if ( !div ) {
+			return;
+		}
+
+		container.style.cssText = "position:absolute;left:-11111px;width:60px;" +
+			"margin-top:1px;padding:0;border:0";
+		div.style.cssText =
+			"position:relative;display:block;box-sizing:border-box;overflow:scroll;" +
+			"margin:auto;border:1px;padding:1px;" +
+			"width:60%;top:1%";
+		documentElement.appendChild( container ).appendChild( div );
+
+		var divStyle = window.getComputedStyle( div );
+		pixelPositionVal = divStyle.top !== "1%";
+
+		// Support: Android 4.0 - 4.3 only, Firefox <=3 - 44
+		reliableMarginLeftVal = roundPixelMeasures( divStyle.marginLeft ) === 12;
+
+		// Support: Android 4.0 - 4.3 only, Safari <=9.1 - 10.1, iOS <=7.0 - 9.3
+		// Some styles come back with percentage values, even though they shouldn't
+		div.style.right = "60%";
+		pixelBoxStylesVal = roundPixelMeasures( divStyle.right ) === 36;
+
+		// Support: IE 9 - 11 only
+		// Detect misreporting of content dimensions for box-sizing:border-box elements
+		boxSizingReliableVal = roundPixelMeasures( divStyle.width ) === 36;
+
+		// Support: IE 9 only
+		// Detect overflow:scroll screwiness (gh-3699)
+		// Support: Chrome <=64
+		// Don't get tricked when zoom affects offsetWidth (gh-4029)
+		div.style.position = "absolute";
+		scrollboxSizeVal = roundPixelMeasures( div.offsetWidth / 3 ) === 12;
+
+		documentElement.removeChild( container );
+
+		// Nullify the div so it wouldn't be stored in the memory and
+		// it will also be a sign that checks already performed
+		div = null;
+	}
+
+	function roundPixelMeasures( measure ) {
+		return Math.round( parseFloat( measure ) );
+	}
+
+	var pixelPositionVal, boxSizingReliableVal, scrollboxSizeVal, pixelBoxStylesVal,
+		reliableTrDimensionsVal, reliableMarginLeftVal,
+		container = document.createElement( "div" ),
+		div = document.createElement( "div" );
+
+	// Finish early in limited (non-browser) environments
+	if ( !div.style ) {
+		return;
+	}
+
+	// Support: IE <=9 - 11 only
+	// Style of cloned element affects source element cloned (#8908)
+	div.style.backgroundClip = "content-box";
+	div.cloneNode( true ).style.backgroundClip = "";
+	support.clearCloneStyle = div.style.backgroundClip === "content-box";
+
+	jQuery.extend( support, {
+		boxSizingReliable: function() {
+			computeStyleTests();
+			return boxSizingReliableVal;
+		},
+		pixelBoxStyles: function() {
+			computeStyleTests();
+			return pixelBoxStylesVal;
+		},
+		pixelPosition: function() {
+			computeStyleTests();
+			return pixelPositionVal;
+		},
+		reliableMarginLeft: function() {
+			computeStyleTests();
+			return reliableMarginLeftVal;
+		},
+		scrollboxSize: function() {
+			computeStyleTests();
+			return scrollboxSizeVal;
+		},
+
+		// Support: IE 9 - 11+, Edge 15 - 18+
+		// IE/Edge misreport `getComputedStyle` of table rows with width/height
+		// set in CSS while `offset*` properties report correct values.
+		// Behavior in IE 9 is more subtle than in newer versions & it passes
+		// some versions of this test; make sure not to make it pass there!
+		reliableTrDimensions: function() {
+			var table, tr, trChild, trStyle;
+			if ( reliableTrDimensionsVal == null ) {
+				table = document.createElement( "table" );
+				tr = document.createElement( "tr" );
+				trChild = document.createElement( "div" );
+
+				table.style.cssText = "position:absolute;left:-11111px";
+				tr.style.height = "1px";
+				trChild.style.height = "9px";
+
+				documentElement
+					.appendChild( table )
+					.appendChild( tr )
+					.appendChild( trChild );
+
+				trStyle = window.getComputedStyle( tr );
+				reliableTrDimensionsVal = parseInt( trStyle.height ) > 3;
+
+				documentElement.removeChild( table );
+			}
+			return reliableTrDimensionsVal;
+		}
+	} );
+} )();
+
+
+function curCSS( elem, name, computed ) {
+	var width, minWidth, maxWidth, ret,
+
+		// Support: Firefox 51+
+		// Retrieving style before computed somehow
+		// fixes an issue with getting wrong values
+		// on detached elements
+		style = elem.style;
+
+	computed = computed || getStyles( elem );
+
+	// getPropertyValue is needed for:
+	//   .css('filter') (IE 9 only, #12537)
+	//   .css('--customProperty) (#3144)
+	if ( computed ) {
+		ret = computed.getPropertyValue( name ) || computed[ name ];
+
+		if ( ret === "" && !isAttached( elem ) ) {
+			ret = jQuery.style( elem, name );
+		}
+
+		// A tribute to the "awesome hack by Dean Edwards"
+		// Android Browser returns percentage for some values,
+		// but width seems to be reliably pixels.
+		// This is against the CSSOM draft spec:
+		// https://drafts.csswg.org/cssom/#resolved-values
+		if ( !support.pixelBoxStyles() && rnumnonpx.test( ret ) && rboxStyle.test( name ) ) {
+
+			// Remember the original values
+			width = style.width;
+			minWidth = style.minWidth;
+			maxWidth = style.maxWidth;
+
+			// Put in the new values to get a computed value out
+			style.minWidth = style.maxWidth = style.width = ret;
+			ret = computed.width;
+
+			// Revert the changed values
+			style.width = width;
+			style.minWidth = minWidth;
+			style.maxWidth = maxWidth;
+		}
+	}
+
+	return ret !== undefined ?
+
+		// Support: IE <=9 - 11 only
+		// IE returns zIndex value as an integer.
+		ret + "" :
+		ret;
+}
+
+
+function addGetHookIf( conditionFn, hookFn ) {
+
+	// Define the hook, we'll check on the first run if it's really needed.
+	return {
+		get: function() {
+			if ( conditionFn() ) {
+
+				// Hook not needed (or it's not possible to use it due
+				// to missing dependency), remove it.
+				delete this.get;
+				return;
+			}
+
+			// Hook needed; redefine it so that the support test is not executed again.
+			return ( this.get = hookFn ).apply( this, arguments );
+		}
+	};
+}
+
+
+var cssPrefixes = [ "Webkit", "Moz", "ms" ],
+	emptyStyle = document.createElement( "div" ).style,
+	vendorProps = {};
+
+// Return a vendor-prefixed property or undefined
+function vendorPropName( name ) {
+
+	// Check for vendor prefixed names
+	var capName = name[ 0 ].toUpperCase() + name.slice( 1 ),
+		i = cssPrefixes.length;
+
+	while ( i-- ) {
+		name = cssPrefixes[ i ] + capName;
+		if ( name in emptyStyle ) {
+			return name;
+		}
+	}
+}
+
+// Return a potentially-mapped jQuery.cssProps or vendor prefixed property
+function finalPropName( name ) {
+	var final = jQuery.cssProps[ name ] || vendorProps[ name ];
+
+	if ( final ) {
+		return final;
+	}
+	if ( name in emptyStyle ) {
+		return name;
+	}
+	return vendorProps[ name ] = vendorPropName( name ) || name;
+}
+
+
+var
+
+	// Swappable if display is none or starts with table
+	// except "table", "table-cell", or "table-caption"
+	// See here for display values: https://developer.mozilla.org/en-US/docs/CSS/display
+	rdisplayswap = /^(none|table(?!-c[ea]).+)/,
+	rcustomProp = /^--/,
+	cssShow = { position: "absolute", visibility: "hidden", display: "block" },
+	cssNormalTransform = {
+		letterSpacing: "0",
+		fontWeight: "400"
+	};
+
+function setPositiveNumber( _elem, value, subtract ) {
+
+	// Any relative (+/-) values have already been
+	// normalized at this point
+	var matches = rcssNum.exec( value );
+	return matches ?
+
+		// Guard against undefined "subtract", e.g., when used as in cssHooks
+		Math.max( 0, matches[ 2 ] - ( subtract || 0 ) ) + ( matches[ 3 ] || "px" ) :
+		value;
+}
+
+function boxModelAdjustment( elem, dimension, box, isBorderBox, styles, computedVal ) {
+	var i = dimension === "width" ? 1 : 0,
+		extra = 0,
+		delta = 0;
+
+	// Adjustment may not be necessary
+	if ( box === ( isBorderBox ? "border" : "content" ) ) {
+		return 0;
+	}
+
+	for ( ; i < 4; i += 2 ) {
+
+		// Both box models exclude margin
+		if ( box === "margin" ) {
+			delta += jQuery.css( elem, box + cssExpand[ i ], true, styles );
+		}
+
+		// If we get here with a content-box, we're seeking "padding" or "border" or "margin"
+		if ( !isBorderBox ) {
+
+			// Add padding
+			delta += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
+
+			// For "border" or "margin", add border
+			if ( box !== "padding" ) {
+				delta += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+
+			// But still keep track of it otherwise
+			} else {
+				extra += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+			}
+
+		// If we get here with a border-box (content + padding + border), we're seeking "content" or
+		// "padding" or "margin"
+		} else {
+
+			// For "content", subtract padding
+			if ( box === "content" ) {
+				delta -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
+			}
+
+			// For "content" or "padding", subtract border
+			if ( box !== "margin" ) {
+				delta -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+			}
+		}
+	}
+
+	// Account for positive content-box scroll gutter when requested by providing computedVal
+	if ( !isBorderBox && computedVal >= 0 ) {
+
+		// offsetWidth/offsetHeight is a rounded sum of content, padding, scroll gutter, and border
+		// Assuming integer scroll gutter, subtract the rest and round down
+		delta += Math.max( 0, Math.ceil(
+			elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] -
+			computedVal -
+			delta -
+			extra -
+			0.5
+
+		// If offsetWidth/offsetHeight is unknown, then we can't determine content-box scroll gutter
+		// Use an explicit zero to avoid NaN (gh-3964)
+		) ) || 0;
+	}
+
+	return delta;
+}
+
+function getWidthOrHeight( elem, dimension, extra ) {
+
+	// Start with computed style
+	var styles = getStyles( elem ),
+
+		// To avoid forcing a reflow, only fetch boxSizing if we need it (gh-4322).
+		// Fake content-box until we know it's needed to know the true value.
+		boxSizingNeeded = !support.boxSizingReliable() || extra,
+		isBorderBox = boxSizingNeeded &&
+			jQuery.css( elem, "boxSizing", false, styles ) === "border-box",
+		valueIsBorderBox = isBorderBox,
+
+		val = curCSS( elem, dimension, styles ),
+		offsetProp = "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 );
+
+	// Support: Firefox <=54
+	// Return a confounding non-pixel value or feign ignorance, as appropriate.
+	if ( rnumnonpx.test( val ) ) {
+		if ( !extra ) {
+			return val;
+		}
+		val = "auto";
+	}
+
+
+	// Support: IE 9 - 11 only
+	// Use offsetWidth/offsetHeight for when box sizing is unreliable.
+	// In those cases, the computed value can be trusted to be border-box.
+	if ( ( !support.boxSizingReliable() && isBorderBox ||
+
+		// Support: IE 10 - 11+, Edge 15 - 18+
+		// IE/Edge misreport `getComputedStyle` of table rows with width/height
+		// set in CSS while `offset*` properties report correct values.
+		// Interestingly, in some cases IE 9 doesn't suffer from this issue.
+		!support.reliableTrDimensions() && nodeName( elem, "tr" ) ||
+
+		// Fall back to offsetWidth/offsetHeight when value is "auto"
+		// This happens for inline elements with no explicit setting (gh-3571)
+		val === "auto" ||
+
+		// Support: Android <=4.1 - 4.3 only
+		// Also use offsetWidth/offsetHeight for misreported inline dimensions (gh-3602)
+		!parseFloat( val ) && jQuery.css( elem, "display", false, styles ) === "inline" ) &&
+
+		// Make sure the element is visible & connected
+		elem.getClientRects().length ) {
+
+		isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box";
+
+		// Where available, offsetWidth/offsetHeight approximate border box dimensions.
+		// Where not available (e.g., SVG), assume unreliable box-sizing and interpret the
+		// retrieved value as a content box dimension.
+		valueIsBorderBox = offsetProp in elem;
+		if ( valueIsBorderBox ) {
+			val = elem[ offsetProp ];
+		}
+	}
+
+	// Normalize "" and auto
+	val = parseFloat( val ) || 0;
+
+	// Adjust for the element's box model
+	return ( val +
+		boxModelAdjustment(
+			elem,
+			dimension,
+			extra || ( isBorderBox ? "border" : "content" ),
+			valueIsBorderBox,
+			styles,
+
+			// Provide the current computed size to request scroll gutter calculation (gh-3589)
+			val
+		)
+	) + "px";
+}
+
+jQuery.extend( {
+
+	// Add in style property hooks for overriding the default
+	// behavior of getting and setting a style property
+	cssHooks: {
+		opacity: {
+			get: function( elem, computed ) {
+				if ( computed ) {
+
+					// We should always get a number back from opacity
+					var ret = curCSS( elem, "opacity" );
+					return ret === "" ? "1" : ret;
+				}
+			}
+		}
+	},
+
+	// Don't automatically add "px" to these possibly-unitless properties
+	cssNumber: {
+		"animationIterationCount": true,
+		"columnCount": true,
+		"fillOpacity": true,
+		"flexGrow": true,
+		"flexShrink": true,
+		"fontWeight": true,
+		"gridArea": true,
+		"gridColumn": true,
+		"gridColumnEnd": true,
+		"gridColumnStart": true,
+		"gridRow": true,
+		"gridRowEnd": true,
+		"gridRowStart": true,
+		"lineHeight": true,
+		"opacity": true,
+		"order": true,
+		"orphans": true,
+		"widows": true,
+		"zIndex": true,
+		"zoom": true
+	},
+
+	// Add in properties whose names you wish to fix before
+	// setting or getting the value
+	cssProps: {},
+
+	// Get and set the style property on a DOM Node
+	style: function( elem, name, value, extra ) {
+
+		// Don't set styles on text and comment nodes
+		if ( !elem || elem.nodeType === 3 || elem.nodeType === 8 || !elem.style ) {
+			return;
+		}
+
+		// Make sure that we're working with the right name
+		var ret, type, hooks,
+			origName = camelCase( name ),
+			isCustomProp = rcustomProp.test( name ),
+			style = elem.style;
+
+		// Make sure that we're working with the right name. We don't
+		// want to query the value if it is a CSS custom property
+		// since they are user-defined.
+		if ( !isCustomProp ) {
+			name = finalPropName( origName );
+		}
+
+		// Gets hook for the prefixed version, then unprefixed version
+		hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
+
+		// Check if we're setting a value
+		if ( value !== undefined ) {
+			type = typeof value;
+
+			// Convert "+=" or "-=" to relative numbers (#7345)
+			if ( type === "string" && ( ret = rcssNum.exec( value ) ) && ret[ 1 ] ) {
+				value = adjustCSS( elem, name, ret );
+
+				// Fixes bug #9237
+				type = "number";
+			}
+
+			// Make sure that null and NaN values aren't set (#7116)
+			if ( value == null || value !== value ) {
+				return;
+			}
+
+			// If a number was passed in, add the unit (except for certain CSS properties)
+			// The isCustomProp check can be removed in jQuery 4.0 when we only auto-append
+			// "px" to a few hardcoded values.
+			if ( type === "number" && !isCustomProp ) {
+				value += ret && ret[ 3 ] || ( jQuery.cssNumber[ origName ] ? "" : "px" );
+			}
+
+			// background-* props affect original clone's values
+			if ( !support.clearCloneStyle && value === "" && name.indexOf( "background" ) === 0 ) {
+				style[ name ] = "inherit";
+			}
+
+			// If a hook was provided, use that value, otherwise just set the specified value
+			if ( !hooks || !( "set" in hooks ) ||
+				( value = hooks.set( elem, value, extra ) ) !== undefined ) {
+
+				if ( isCustomProp ) {
+					style.setProperty( name, value );
+				} else {
+					style[ name ] = value;
+				}
+			}
+
+		} else {
+
+			// If a hook was provided get the non-computed value from there
+			if ( hooks && "get" in hooks &&
+				( ret = hooks.get( elem, false, extra ) ) !== undefined ) {
+
+				return ret;
+			}
+
+			// Otherwise just get the value from the style object
+			return style[ name ];
+		}
+	},
+
+	css: function( elem, name, extra, styles ) {
+		var val, num, hooks,
+			origName = camelCase( name ),
+			isCustomProp = rcustomProp.test( name );
+
+		// Make sure that we're working with the right name. We don't
+		// want to modify the value if it is a CSS custom property
+		// since they are user-defined.
+		if ( !isCustomProp ) {
+			name = finalPropName( origName );
+		}
+
+		// Try prefixed name followed by the unprefixed name
+		hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
+
+		// If a hook was provided get the computed value from there
+		if ( hooks && "get" in hooks ) {
+			val = hooks.get( elem, true, extra );
+		}
+
+		// Otherwise, if a way to get the computed value exists, use that
+		if ( val === undefined ) {
+			val = curCSS( elem, name, styles );
+		}
+
+		// Convert "normal" to computed value
+		if ( val === "normal" && name in cssNormalTransform ) {
+			val = cssNormalTransform[ name ];
+		}
+
+		// Make numeric if forced or a qualifier was provided and val looks numeric
+		if ( extra === "" || extra ) {
+			num = parseFloat( val );
+			return extra === true || isFinite( num ) ? num || 0 : val;
+		}
+
+		return val;
+	}
+} );
+
+jQuery.each( [ "height", "width" ], function( _i, dimension ) {
+	jQuery.cssHooks[ dimension ] = {
+		get: function( elem, computed, extra ) {
+			if ( computed ) {
+
+				// Certain elements can have dimension info if we invisibly show them
+				// but it must have a current display style that would benefit
+				return rdisplayswap.test( jQuery.css( elem, "display" ) ) &&
+
+					// Support: Safari 8+
+					// Table columns in Safari have non-zero offsetWidth & zero
+					// getBoundingClientRect().width unless display is changed.
+					// Support: IE <=11 only
+					// Running getBoundingClientRect on a disconnected node
+					// in IE throws an error.
+					( !elem.getClientRects().length || !elem.getBoundingClientRect().width ) ?
+						swap( elem, cssShow, function() {
+							return getWidthOrHeight( elem, dimension, extra );
+						} ) :
+						getWidthOrHeight( elem, dimension, extra );
+			}
+		},
+
+		set: function( elem, value, extra ) {
+			var matches,
+				styles = getStyles( elem ),
+
+				// Only read styles.position if the test has a chance to fail
+				// to avoid forcing a reflow.
+				scrollboxSizeBuggy = !support.scrollboxSize() &&
+					styles.position === "absolute",
+
+				// To avoid forcing a reflow, only fetch boxSizing if we need it (gh-3991)
+				boxSizingNeeded = scrollboxSizeBuggy || extra,
+				isBorderBox = boxSizingNeeded &&
+					jQuery.css( elem, "boxSizing", false, styles ) === "border-box",
+				subtract = extra ?
+					boxModelAdjustment(
+						elem,
+						dimension,
+						extra,
+						isBorderBox,
+						styles
+					) :
+					0;
+
+			// Account for unreliable border-box dimensions by comparing offset* to computed and
+			// faking a content-box to get border and padding (gh-3699)
+			if ( isBorderBox && scrollboxSizeBuggy ) {
+				subtract -= Math.ceil(
+					elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] -
+					parseFloat( styles[ dimension ] ) -
+					boxModelAdjustment( elem, dimension, "border", false, styles ) -
+					0.5
+				);
+			}
+
+			// Convert to pixels if value adjustment is needed
+			if ( subtract && ( matches = rcssNum.exec( value ) ) &&
+				( matches[ 3 ] || "px" ) !== "px" ) {
+
+				elem.style[ dimension ] = value;
+				value = jQuery.css( elem, dimension );
+			}
+
+			return setPositiveNumber( elem, value, subtract );
+		}
+	};
+} );
+
+jQuery.cssHooks.marginLeft = addGetHookIf( support.reliableMarginLeft,
+	function( elem, computed ) {
+		if ( computed ) {
+			return ( parseFloat( curCSS( elem, "marginLeft" ) ) ||
+				elem.getBoundingClientRect().left -
+					swap( elem, { marginLeft: 0 }, function() {
+						return elem.getBoundingClientRect().left;
+					} )
+				) + "px";
+		}
+	}
+);
+
+// These hooks are used by animate to expand properties
+jQuery.each( {
+	margin: "",
+	padding: "",
+	border: "Width"
+}, function( prefix, suffix ) {
+	jQuery.cssHooks[ prefix + suffix ] = {
+		expand: function( value ) {
+			var i = 0,
+				expanded = {},
+
+				// Assumes a single number if not a string
+				parts = typeof value === "string" ? value.split( " " ) : [ value ];
+
+			for ( ; i < 4; i++ ) {
+				expanded[ prefix + cssExpand[ i ] + suffix ] =
+					parts[ i ] || parts[ i - 2 ] || parts[ 0 ];
+			}
+
+			return expanded;
+		}
+	};
+
+	if ( prefix !== "margin" ) {
+		jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber;
+	}
+} );
+
+jQuery.fn.extend( {
+	css: function( name, value ) {
+		return access( this, function( elem, name, value ) {
+			var styles, len,
+				map = {},
+				i = 0;
+
+			if ( Array.isArray( name ) ) {
+				styles = getStyles( elem );
+				len = name.length;
+
+				for ( ; i < len; i++ ) {
+					map[ name[ i ] ] = jQuery.css( elem, name[ i ], false, styles );
+				}
+
+				return map;
+			}
+
+			return value !== undefined ?
+				jQuery.style( elem, name, value ) :
+				jQuery.css( elem, name );
+		}, name, value, arguments.length > 1 );
+	}
+} );
+
+
+function Tween( elem, options, prop, end, easing ) {
+	return new Tween.prototype.init( elem, options, prop, end, easing );
+}
+jQuery.Tween = Tween;
+
+Tween.prototype = {
+	constructor: Tween,
+	init: function( elem, options, prop, end, easing, unit ) {
+		this.elem = elem;
+		this.prop = prop;
+		this.easing = easing || jQuery.easing._default;
+		this.options = options;
+		this.start = this.now = this.cur();
+		this.end = end;
+		this.unit = unit || ( jQuery.cssNumber[ prop ] ? "" : "px" );
+	},
+	cur: function() {
+		var hooks = Tween.propHooks[ this.prop ];
+
+		return hooks && hooks.get ?
+			hooks.get( this ) :
+			Tween.propHooks._default.get( this );
+	},
+	run: function( percent ) {
+		var eased,
+			hooks = Tween.propHooks[ this.prop ];
+
+		if ( this.options.duration ) {
+			this.pos = eased = jQuery.easing[ this.easing ](
+				percent, this.options.duration * percent, 0, 1, this.options.duration
+			);
+		} else {
+			this.pos = eased = percent;
+		}
+		this.now = ( this.end - this.start ) * eased + this.start;
+
+		if ( this.options.step ) {
+			this.options.step.call( this.elem, this.now, this );
+		}
+
+		if ( hooks && hooks.set ) {
+			hooks.set( this );
+		} else {
+			Tween.propHooks._default.set( this );
+		}
+		return this;
+	}
+};
+
+Tween.prototype.init.prototype = Tween.prototype;
+
+Tween.propHooks = {
+	_default: {
+		get: function( tween ) {
+			var result;
+
+			// Use a property on the element directly when it is not a DOM element,
+			// or when there is no matching style property that exists.
+			if ( tween.elem.nodeType !== 1 ||
+				tween.elem[ tween.prop ] != null && tween.elem.style[ tween.prop ] == null ) {
+				return tween.elem[ tween.prop ];
+			}
+
+			// Passing an empty string as a 3rd parameter to .css will automatically
+			// attempt a parseFloat and fallback to a string if the parse fails.
+			// Simple values such as "10px" are parsed to Float;
+			// complex values such as "rotate(1rad)" are returned as-is.
+			result = jQuery.css( tween.elem, tween.prop, "" );
+
+			// Empty strings, null, undefined and "auto" are converted to 0.
+			return !result || result === "auto" ? 0 : result;
+		},
+		set: function( tween ) {
+
+			// Use step hook for back compat.
+			// Use cssHook if its there.
+			// Use .style if available and use plain properties where available.
+			if ( jQuery.fx.step[ tween.prop ] ) {
+				jQuery.fx.step[ tween.prop ]( tween );
+			} else if ( tween.elem.nodeType === 1 && (
+					jQuery.cssHooks[ tween.prop ] ||
+					tween.elem.style[ finalPropName( tween.prop ) ] != null ) ) {
+				jQuery.style( tween.elem, tween.prop, tween.now + tween.unit );
+			} else {
+				tween.elem[ tween.prop ] = tween.now;
+			}
+		}
+	}
+};
+
+// Support: IE <=9 only
+// Panic based approach to setting things on disconnected nodes
+Tween.propHooks.scrollTop = Tween.propHooks.scrollLeft = {
+	set: function( tween ) {
+		if ( tween.elem.nodeType && tween.elem.parentNode ) {
+			tween.elem[ tween.prop ] = tween.now;
+		}
+	}
+};
+
+jQuery.easing = {
+	linear: function( p ) {
+		return p;
+	},
+	swing: function( p ) {
+		return 0.5 - Math.cos( p * Math.PI ) / 2;
+	},
+	_default: "swing"
+};
+
+jQuery.fx = Tween.prototype.init;
+
+// Back compat <1.8 extension point
+jQuery.fx.step = {};
+
+
+
+
+var
+	fxNow, inProgress,
+	rfxtypes = /^(?:toggle|show|hide)$/,
+	rrun = /queueHooks$/;
+
+function schedule() {
+	if ( inProgress ) {
+		if ( document.hidden === false && window.requestAnimationFrame ) {
+			window.requestAnimationFrame( schedule );
+		} else {
+			window.setTimeout( schedule, jQuery.fx.interval );
+		}
+
+		jQuery.fx.tick();
+	}
+}
+
+// Animations created synchronously will run synchronously
+function createFxNow() {
+	window.setTimeout( function() {
+		fxNow = undefined;
+	} );
+	return ( fxNow = Date.now() );
+}
+
+// Generate parameters to create a standard animation
+function genFx( type, includeWidth ) {
+	var which,
+		i = 0,
+		attrs = { height: type };
+
+	// If we include width, step value is 1 to do all cssExpand values,
+	// otherwise step value is 2 to skip over Left and Right
+	includeWidth = includeWidth ? 1 : 0;
+	for ( ; i < 4; i += 2 - includeWidth ) {
+		which = cssExpand[ i ];
+		attrs[ "margin" + which ] = attrs[ "padding" + which ] = type;
+	}
+
+	if ( includeWidth ) {
+		attrs.opacity = attrs.width = type;
+	}
+
+	return attrs;
+}
+
+function createTween( value, prop, animation ) {
+	var tween,
+		collection = ( Animation.tweeners[ prop ] || [] ).concat( Animation.tweeners[ "*" ] ),
+		index = 0,
+		length = collection.length;
+	for ( ; index < length; index++ ) {
+		if ( ( tween = collection[ index ].call( animation, prop, value ) ) ) {
+
+			// We're done with this property
+			return tween;
+		}
+	}
+}
+
+function defaultPrefilter( elem, props, opts ) {
+	var prop, value, toggle, hooks, oldfire, propTween, restoreDisplay, display,
+		isBox = "width" in props || "height" in props,
+		anim = this,
+		orig = {},
+		style = elem.style,
+		hidden = elem.nodeType && isHiddenWithinTree( elem ),
+		dataShow = dataPriv.get( elem, "fxshow" );
+
+	// Queue-skipping animations hijack the fx hooks
+	if ( !opts.queue ) {
+		hooks = jQuery._queueHooks( elem, "fx" );
+		if ( hooks.unqueued == null ) {
+			hooks.unqueued = 0;
+			oldfire = hooks.empty.fire;
+			hooks.empty.fire = function() {
+				if ( !hooks.unqueued ) {
+					oldfire();
+				}
+			};
+		}
+		hooks.unqueued++;
+
+		anim.always( function() {
+
+			// Ensure the complete handler is called before this completes
+			anim.always( function() {
+				hooks.unqueued--;
+				if ( !jQuery.queue( elem, "fx" ).length ) {
+					hooks.empty.fire();
+				}
+			} );
+		} );
+	}
+
+	// Detect show/hide animations
+	for ( prop in props ) {
+		value = props[ prop ];
+		if ( rfxtypes.test( value ) ) {
+			delete props[ prop ];
+			toggle = toggle || value === "toggle";
+			if ( value === ( hidden ? "hide" : "show" ) ) {
+
+				// Pretend to be hidden if this is a "show" and
+				// there is still data from a stopped show/hide
+				if ( value === "show" && dataShow && dataShow[ prop ] !== undefined ) {
+					hidden = true;
+
+				// Ignore all other no-op show/hide data
+				} else {
+					continue;
+				}
+			}
+			orig[ prop ] = dataShow && dataShow[ prop ] || jQuery.style( elem, prop );
+		}
+	}
+
+	// Bail out if this is a no-op like .hide().hide()
+	propTween = !jQuery.isEmptyObject( props );
+	if ( !propTween && jQuery.isEmptyObject( orig ) ) {
+		return;
+	}
+
+	// Restrict "overflow" and "display" styles during box animations
+	if ( isBox && elem.nodeType === 1 ) {
+
+		// Support: IE <=9 - 11, Edge 12 - 15
+		// Record all 3 overflow attributes because IE does not infer the shorthand
+		// from identically-valued overflowX and overflowY and Edge just mirrors
+		// the overflowX value there.
+		opts.overflow = [ style.overflow, style.overflowX, style.overflowY ];
+
+		// Identify a display type, preferring old show/hide data over the CSS cascade
+		restoreDisplay = dataShow && dataShow.display;
+		if ( restoreDisplay == null ) {
+			restoreDisplay = dataPriv.get( elem, "display" );
+		}
+		display = jQuery.css( elem, "display" );
+		if ( display === "none" ) {
+			if ( restoreDisplay ) {
+				display = restoreDisplay;
+			} else {
+
+				// Get nonempty value(s) by temporarily forcing visibility
+				showHide( [ elem ], true );
+				restoreDisplay = elem.style.display || restoreDisplay;
+				display = jQuery.css( elem, "display" );
+				showHide( [ elem ] );
+			}
+		}
+
+		// Animate inline elements as inline-block
+		if ( display === "inline" || display === "inline-block" && restoreDisplay != null ) {
+			if ( jQuery.css( elem, "float" ) === "none" ) {
+
+				// Restore the original display value at the end of pure show/hide animations
+				if ( !propTween ) {
+					anim.done( function() {
+						style.display = restoreDisplay;
+					} );
+					if ( restoreDisplay == null ) {
+						display = style.display;
+						restoreDisplay = display === "none" ? "" : display;
+					}
+				}
+				style.display = "inline-block";
+			}
+		}
+	}
+
+	if ( opts.overflow ) {
+		style.overflow = "hidden";
+		anim.always( function() {
+			style.overflow = opts.overflow[ 0 ];
+			style.overflowX = opts.overflow[ 1 ];
+			style.overflowY = opts.overflow[ 2 ];
+		} );
+	}
+
+	// Implement show/hide animations
+	propTween = false;
+	for ( prop in orig ) {
+
+		// General show/hide setup for this element animation
+		if ( !propTween ) {
+			if ( dataShow ) {
+				if ( "hidden" in dataShow ) {
+					hidden = dataShow.hidden;
+				}
+			} else {
+				dataShow = dataPriv.access( elem, "fxshow", { display: restoreDisplay } );
+			}
+
+			// Store hidden/visible for toggle so `.stop().toggle()` "reverses"
+			if ( toggle ) {
+				dataShow.hidden = !hidden;
+			}
+
+			// Show elements before animating them
+			if ( hidden ) {
+				showHide( [ elem ], true );
+			}
+
+			/* eslint-disable no-loop-func */
+
+			anim.done( function() {
+
+			/* eslint-enable no-loop-func */
+
+				// The final step of a "hide" animation is actually hiding the element
+				if ( !hidden ) {
+					showHide( [ elem ] );
+				}
+				dataPriv.remove( elem, "fxshow" );
+				for ( prop in orig ) {
+					jQuery.style( elem, prop, orig[ prop ] );
+				}
+			} );
+		}
+
+		// Per-property setup
+		propTween = createTween( hidden ? dataShow[ prop ] : 0, prop, anim );
+		if ( !( prop in dataShow ) ) {
+			dataShow[ prop ] = propTween.start;
+			if ( hidden ) {
+				propTween.end = propTween.start;
+				propTween.start = 0;
+			}
+		}
+	}
+}
+
+function propFilter( props, specialEasing ) {
+	var index, name, easing, value, hooks;
+
+	// camelCase, specialEasing and expand cssHook pass
+	for ( index in props ) {
+		name = camelCase( index );
+		easing = specialEasing[ name ];
+		value = props[ index ];
+		if ( Array.isArray( value ) ) {
+			easing = value[ 1 ];
+			value = props[ index ] = value[ 0 ];
+		}
+
+		if ( index !== name ) {
+			props[ name ] = value;
+			delete props[ index ];
+		}
+
+		hooks = jQuery.cssHooks[ name ];
+		if ( hooks && "expand" in hooks ) {
+			value = hooks.expand( value );
+			delete props[ name ];
+
+			// Not quite $.extend, this won't overwrite existing keys.
+			// Reusing 'index' because we have the correct "name"
+			for ( index in value ) {
+				if ( !( index in props ) ) {
+					props[ index ] = value[ index ];
+					specialEasing[ index ] = easing;
+				}
+			}
+		} else {
+			specialEasing[ name ] = easing;
+		}
+	}
+}
+
+function Animation( elem, properties, options ) {
+	var result,
+		stopped,
+		index = 0,
+		length = Animation.prefilters.length,
+		deferred = jQuery.Deferred().always( function() {
+
+			// Don't match elem in the :animated selector
+			delete tick.elem;
+		} ),
+		tick = function() {
+			if ( stopped ) {
+				return false;
+			}
+			var currentTime = fxNow || createFxNow(),
+				remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ),
+
+				// Support: Android 2.3 only
+				// Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (#12497)
+				temp = remaining / animation.duration || 0,
+				percent = 1 - temp,
+				index = 0,
+				length = animation.tweens.length;
+
+			for ( ; index < length; index++ ) {
+				animation.tweens[ index ].run( percent );
+			}
+
+			deferred.notifyWith( elem, [ animation, percent, remaining ] );
+
+			// If there's more to do, yield
+			if ( percent < 1 && length ) {
+				return remaining;
+			}
+
+			// If this was an empty animation, synthesize a final progress notification
+			if ( !length ) {
+				deferred.notifyWith( elem, [ animation, 1, 0 ] );
+			}
+
+			// Resolve the animation and report its conclusion
+			deferred.resolveWith( elem, [ animation ] );
+			return false;
+		},
+		animation = deferred.promise( {
+			elem: elem,
+			props: jQuery.extend( {}, properties ),
+			opts: jQuery.extend( true, {
+				specialEasing: {},
+				easing: jQuery.easing._default
+			}, options ),
+			originalProperties: properties,
+			originalOptions: options,
+			startTime: fxNow || createFxNow(),
+			duration: options.duration,
+			tweens: [],
+			createTween: function( prop, end ) {
+				var tween = jQuery.Tween( elem, animation.opts, prop, end,
+						animation.opts.specialEasing[ prop ] || animation.opts.easing );
+				animation.tweens.push( tween );
+				return tween;
+			},
+			stop: function( gotoEnd ) {
+				var index = 0,
+
+					// If we are going to the end, we want to run all the tweens
+					// otherwise we skip this part
+					length = gotoEnd ? animation.tweens.length : 0;
+				if ( stopped ) {
+					return this;
+				}
+				stopped = true;
+				for ( ; index < length; index++ ) {
+					animation.tweens[ index ].run( 1 );
+				}
+
+				// Resolve when we played the last frame; otherwise, reject
+				if ( gotoEnd ) {
+					deferred.notifyWith( elem, [ animation, 1, 0 ] );
+					deferred.resolveWith( elem, [ animation, gotoEnd ] );
+				} else {
+					deferred.rejectWith( elem, [ animation, gotoEnd ] );
+				}
+				return this;
+			}
+		} ),
+		props = animation.props;
+
+	propFilter( props, animation.opts.specialEasing );
+
+	for ( ; index < length; index++ ) {
+		result = Animation.prefilters[ index ].call( animation, elem, props, animation.opts );
+		if ( result ) {
+			if ( isFunction( result.stop ) ) {
+				jQuery._queueHooks( animation.elem, animation.opts.queue ).stop =
+					result.stop.bind( result );
+			}
+			return result;
+		}
+	}
+
+	jQuery.map( props, createTween, animation );
+
+	if ( isFunction( animation.opts.start ) ) {
+		animation.opts.start.call( elem, animation );
+	}
+
+	// Attach callbacks from options
+	animation
+		.progress( animation.opts.progress )
+		.done( animation.opts.done, animation.opts.complete )
+		.fail( animation.opts.fail )
+		.always( animation.opts.always );
+
+	jQuery.fx.timer(
+		jQuery.extend( tick, {
+			elem: elem,
+			anim: animation,
+			queue: animation.opts.queue
+		} )
+	);
+
+	return animation;
+}
+
+jQuery.Animation = jQuery.extend( Animation, {
+
+	tweeners: {
+		"*": [ function( prop, value ) {
+			var tween = this.createTween( prop, value );
+			adjustCSS( tween.elem, prop, rcssNum.exec( value ), tween );
+			return tween;
+		} ]
+	},
+
+	tweener: function( props, callback ) {
+		if ( isFunction( props ) ) {
+			callback = props;
+			props = [ "*" ];
+		} else {
+			props = props.match( rnothtmlwhite );
+		}
+
+		var prop,
+			index = 0,
+			length = props.length;
+
+		for ( ; index < length; index++ ) {
+			prop = props[ index ];
+			Animation.tweeners[ prop ] = Animation.tweeners[ prop ] || [];
+			Animation.tweeners[ prop ].unshift( callback );
+		}
+	},
+
+	prefilters: [ defaultPrefilter ],
+
+	prefilter: function( callback, prepend ) {
+		if ( prepend ) {
+			Animation.prefilters.unshift( callback );
+		} else {
+			Animation.prefilters.push( callback );
+		}
+	}
+} );
+
+jQuery.speed = function( speed, easing, fn ) {
+	var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : {
+		complete: fn || !fn && easing ||
+			isFunction( speed ) && speed,
+		duration: speed,
+		easing: fn && easing || easing && !isFunction( easing ) && easing
+	};
+
+	// Go to the end state if fx are off
+	if ( jQuery.fx.off ) {
+		opt.duration = 0;
+
+	} else {
+		if ( typeof opt.duration !== "number" ) {
+			if ( opt.duration in jQuery.fx.speeds ) {
+				opt.duration = jQuery.fx.speeds[ opt.duration ];
+
+			} else {
+				opt.duration = jQuery.fx.speeds._default;
+			}
+		}
+	}
+
+	// Normalize opt.queue - true/undefined/null -> "fx"
+	if ( opt.queue == null || opt.queue === true ) {
+		opt.queue = "fx";
+	}
+
+	// Queueing
+	opt.old = opt.complete;
+
+	opt.complete = function() {
+		if ( isFunction( opt.old ) ) {
+			opt.old.call( this );
+		}
+
+		if ( opt.queue ) {
+			jQuery.dequeue( this, opt.queue );
+		}
+	};
+
+	return opt;
+};
+
+jQuery.fn.extend( {
+	fadeTo: function( speed, to, easing, callback ) {
+
+		// Show any hidden elements after setting opacity to 0
+		return this.filter( isHiddenWithinTree ).css( "opacity", 0 ).show()
+
+			// Animate to the value specified
+			.end().animate( { opacity: to }, speed, easing, callback );
+	},
+	animate: function( prop, speed, easing, callback ) {
+		var empty = jQuery.isEmptyObject( prop ),
+			optall = jQuery.speed( speed, easing, callback ),
+			doAnimation = function() {
+
+				// Operate on a copy of prop so per-property easing won't be lost
+				var anim = Animation( this, jQuery.extend( {}, prop ), optall );
+
+				// Empty animations, or finishing resolves immediately
+				if ( empty || dataPriv.get( this, "finish" ) ) {
+					anim.stop( true );
+				}
+			};
+			doAnimation.finish = doAnimation;
+
+		return empty || optall.queue === false ?
+			this.each( doAnimation ) :
+			this.queue( optall.queue, doAnimation );
+	},
+	stop: function( type, clearQueue, gotoEnd ) {
+		var stopQueue = function( hooks ) {
+			var stop = hooks.stop;
+			delete hooks.stop;
+			stop( gotoEnd );
+		};
+
+		if ( typeof type !== "string" ) {
+			gotoEnd = clearQueue;
+			clearQueue = type;
+			type = undefined;
+		}
+		if ( clearQueue ) {
+			this.queue( type || "fx", [] );
+		}
+
+		return this.each( function() {
+			var dequeue = true,
+				index = type != null && type + "queueHooks",
+				timers = jQuery.timers,
+				data = dataPriv.get( this );
+
+			if ( index ) {
+				if ( data[ index ] && data[ index ].stop ) {
+					stopQueue( data[ index ] );
+				}
+			} else {
+				for ( index in data ) {
+					if ( data[ index ] && data[ index ].stop && rrun.test( index ) ) {
+						stopQueue( data[ index ] );
+					}
+				}
+			}
+
+			for ( index = timers.length; index--; ) {
+				if ( timers[ index ].elem === this &&
+					( type == null || timers[ index ].queue === type ) ) {
+
+					timers[ index ].anim.stop( gotoEnd );
+					dequeue = false;
+					timers.splice( index, 1 );
+				}
+			}
+
+			// Start the next in the queue if the last step wasn't forced.
+			// Timers currently will call their complete callbacks, which
+			// will dequeue but only if they were gotoEnd.
+			if ( dequeue || !gotoEnd ) {
+				jQuery.dequeue( this, type );
+			}
+		} );
+	},
+	finish: function( type ) {
+		if ( type !== false ) {
+			type = type || "fx";
+		}
+		return this.each( function() {
+			var index,
+				data = dataPriv.get( this ),
+				queue = data[ type + "queue" ],
+				hooks = data[ type + "queueHooks" ],
+				timers = jQuery.timers,
+				length = queue ? queue.length : 0;
+
+			// Enable finishing flag on private data
+			data.finish = true;
+
+			// Empty the queue first
+			jQuery.queue( this, type, [] );
+
+			if ( hooks && hooks.stop ) {
+				hooks.stop.call( this, true );
+			}
+
+			// Look for any active animations, and finish them
+			for ( index = timers.length; index--; ) {
+				if ( timers[ index ].elem === this && timers[ index ].queue === type ) {
+					timers[ index ].anim.stop( true );
+					timers.splice( index, 1 );
+				}
+			}
+
+			// Look for any animations in the old queue and finish them
+			for ( index = 0; index < length; index++ ) {
+				if ( queue[ index ] && queue[ index ].finish ) {
+					queue[ index ].finish.call( this );
+				}
+			}
+
+			// Turn off finishing flag
+			delete data.finish;
+		} );
+	}
+} );
+
+jQuery.each( [ "toggle", "show", "hide" ], function( _i, name ) {
+	var cssFn = jQuery.fn[ name ];
+	jQuery.fn[ name ] = function( speed, easing, callback ) {
+		return speed == null || typeof speed === "boolean" ?
+			cssFn.apply( this, arguments ) :
+			this.animate( genFx( name, true ), speed, easing, callback );
+	};
+} );
+
+// Generate shortcuts for custom animations
+jQuery.each( {
+	slideDown: genFx( "show" ),
+	slideUp: genFx( "hide" ),
+	slideToggle: genFx( "toggle" ),
+	fadeIn: { opacity: "show" },
+	fadeOut: { opacity: "hide" },
+	fadeToggle: { opacity: "toggle" }
+}, function( name, props ) {
+	jQuery.fn[ name ] = function( speed, easing, callback ) {
+		return this.animate( props, speed, easing, callback );
+	};
+} );
+
+jQuery.timers = [];
+jQuery.fx.tick = function() {
+	var timer,
+		i = 0,
+		timers = jQuery.timers;
+
+	fxNow = Date.now();
+
+	for ( ; i < timers.length; i++ ) {
+		timer = timers[ i ];
+
+		// Run the timer and safely remove it when done (allowing for external removal)
+		if ( !timer() && timers[ i ] === timer ) {
+			timers.splice( i--, 1 );
+		}
+	}
+
+	if ( !timers.length ) {
+		jQuery.fx.stop();
+	}
+	fxNow = undefined;
+};
+
+jQuery.fx.timer = function( timer ) {
+	jQuery.timers.push( timer );
+	jQuery.fx.start();
+};
+
+jQuery.fx.interval = 13;
+jQuery.fx.start = function() {
+	if ( inProgress ) {
+		return;
+	}
+
+	inProgress = true;
+	schedule();
+};
+
+jQuery.fx.stop = function() {
+	inProgress = null;
+};
+
+jQuery.fx.speeds = {
+	slow: 600,
+	fast: 200,
+
+	// Default speed
+	_default: 400
+};
+
+
+// Based off of the plugin by Clint Helfers, with permission.
+// https://web.archive.org/web/20100324014747/http://blindsignals.com/index.php/2009/07/jquery-delay/
+jQuery.fn.delay = function( time, type ) {
+	time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time;
+	type = type || "fx";
+
+	return this.queue( type, function( next, hooks ) {
+		var timeout = window.setTimeout( next, time );
+		hooks.stop = function() {
+			window.clearTimeout( timeout );
+		};
+	} );
+};
+
+
+( function() {
+	var input = document.createElement( "input" ),
+		select = document.createElement( "select" ),
+		opt = select.appendChild( document.createElement( "option" ) );
+
+	input.type = "checkbox";
+
+	// Support: Android <=4.3 only
+	// Default value for a checkbox should be "on"
+	support.checkOn = input.value !== "";
+
+	// Support: IE <=11 only
+	// Must access selectedIndex to make default options select
+	support.optSelected = opt.selected;
+
+	// Support: IE <=11 only
+	// An input loses its value after becoming a radio
+	input = document.createElement( "input" );
+	input.value = "t";
+	input.type = "radio";
+	support.radioValue = input.value === "t";
+} )();
+
+
+var boolHook,
+	attrHandle = jQuery.expr.attrHandle;
+
+jQuery.fn.extend( {
+	attr: function( name, value ) {
+		return access( this, jQuery.attr, name, value, arguments.length > 1 );
+	},
+
+	removeAttr: function( name ) {
+		return this.each( function() {
+			jQuery.removeAttr( this, name );
+		} );
+	}
+} );
+
+jQuery.extend( {
+	attr: function( elem, name, value ) {
+		var ret, hooks,
+			nType = elem.nodeType;
+
+		// Don't get/set attributes on text, comment and attribute nodes
+		if ( nType === 3 || nType === 8 || nType === 2 ) {
+			return;
+		}
+
+		// Fallback to prop when attributes are not supported
+		if ( typeof elem.getAttribute === "undefined" ) {
+			return jQuery.prop( elem, name, value );
+		}
+
+		// Attribute hooks are determined by the lowercase version
+		// Grab necessary hook if one is defined
+		if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
+			hooks = jQuery.attrHooks[ name.toLowerCase() ] ||
+				( jQuery.expr.match.bool.test( name ) ? boolHook : undefined );
+		}
+
+		if ( value !== undefined ) {
+			if ( value === null ) {
+				jQuery.removeAttr( elem, name );
+				return;
+			}
+
+			if ( hooks && "set" in hooks &&
+				( ret = hooks.set( elem, value, name ) ) !== undefined ) {
+				return ret;
+			}
+
+			elem.setAttribute( name, value + "" );
+			return value;
+		}
+
+		if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) {
+			return ret;
+		}
+
+		ret = jQuery.find.attr( elem, name );
+
+		// Non-existent attributes return null, we normalize to undefined
+		return ret == null ? undefined : ret;
+	},
+
+	attrHooks: {
+		type: {
+			set: function( elem, value ) {
+				if ( !support.radioValue && value === "radio" &&
+					nodeName( elem, "input" ) ) {
+					var val = elem.value;
+					elem.setAttribute( "type", value );
+					if ( val ) {
+						elem.value = val;
+					}
+					return value;
+				}
+			}
+		}
+	},
+
+	removeAttr: function( elem, value ) {
+		var name,
+			i = 0,
+
+			// Attribute names can contain non-HTML whitespace characters
+			// https://html.spec.whatwg.org/multipage/syntax.html#attributes-2
+			attrNames = value && value.match( rnothtmlwhite );
+
+		if ( attrNames && elem.nodeType === 1 ) {
+			while ( ( name = attrNames[ i++ ] ) ) {
+				elem.removeAttribute( name );
+			}
+		}
+	}
+} );
+
+// Hooks for boolean attributes
+boolHook = {
+	set: function( elem, value, name ) {
+		if ( value === false ) {
+
+			// Remove boolean attributes when set to false
+			jQuery.removeAttr( elem, name );
+		} else {
+			elem.setAttribute( name, name );
+		}
+		return name;
+	}
+};
+
+jQuery.each( jQuery.expr.match.bool.source.match( /\w+/g ), function( _i, name ) {
+	var getter = attrHandle[ name ] || jQuery.find.attr;
+
+	attrHandle[ name ] = function( elem, name, isXML ) {
+		var ret, handle,
+			lowercaseName = name.toLowerCase();
+
+		if ( !isXML ) {
+
+			// Avoid an infinite loop by temporarily removing this function from the getter
+			handle = attrHandle[ lowercaseName ];
+			attrHandle[ lowercaseName ] = ret;
+			ret = getter( elem, name, isXML ) != null ?
+				lowercaseName :
+				null;
+			attrHandle[ lowercaseName ] = handle;
+		}
+		return ret;
+	};
+} );
+
+
+
+
+var rfocusable = /^(?:input|select|textarea|button)$/i,
+	rclickable = /^(?:a|area)$/i;
+
+jQuery.fn.extend( {
+	prop: function( name, value ) {
+		return access( this, jQuery.prop, name, value, arguments.length > 1 );
+	},
+
+	removeProp: function( name ) {
+		return this.each( function() {
+			delete this[ jQuery.propFix[ name ] || name ];
+		} );
+	}
+} );
+
+jQuery.extend( {
+	prop: function( elem, name, value ) {
+		var ret, hooks,
+			nType = elem.nodeType;
+
+		// Don't get/set properties on text, comment and attribute nodes
+		if ( nType === 3 || nType === 8 || nType === 2 ) {
+			return;
+		}
+
+		if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
+
+			// Fix name and attach hooks
+			name = jQuery.propFix[ name ] || name;
+			hooks = jQuery.propHooks[ name ];
+		}
+
+		if ( value !== undefined ) {
+			if ( hooks && "set" in hooks &&
+				( ret = hooks.set( elem, value, name ) ) !== undefined ) {
+				return ret;
+			}
+
+			return ( elem[ name ] = value );
+		}
+
+		if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) {
+			return ret;
+		}
+
+		return elem[ name ];
+	},
+
+	propHooks: {
+		tabIndex: {
+			get: function( elem ) {
+
+				// Support: IE <=9 - 11 only
+				// elem.tabIndex doesn't always return the
+				// correct value when it hasn't been explicitly set
+				// https://web.archive.org/web/20141116233347/http://fluidproject.org/blog/2008/01/09/getting-setting-and-removing-tabindex-values-with-javascript/
+				// Use proper attribute retrieval(#12072)
+				var tabindex = jQuery.find.attr( elem, "tabindex" );
+
+				if ( tabindex ) {
+					return parseInt( tabindex, 10 );
+				}
+
+				if (
+					rfocusable.test( elem.nodeName ) ||
+					rclickable.test( elem.nodeName ) &&
+					elem.href
+				) {
+					return 0;
+				}
+
+				return -1;
+			}
+		}
+	},
+
+	propFix: {
+		"for": "htmlFor",
+		"class": "className"
+	}
+} );
+
+// Support: IE <=11 only
+// Accessing the selectedIndex property
+// forces the browser to respect setting selected
+// on the option
+// The getter ensures a default option is selected
+// when in an optgroup
+// eslint rule "no-unused-expressions" is disabled for this code
+// since it considers such accessions noop
+if ( !support.optSelected ) {
+	jQuery.propHooks.selected = {
+		get: function( elem ) {
+
+			/* eslint no-unused-expressions: "off" */
+
+			var parent = elem.parentNode;
+			if ( parent && parent.parentNode ) {
+				parent.parentNode.selectedIndex;
+			}
+			return null;
+		},
+		set: function( elem ) {
+
+			/* eslint no-unused-expressions: "off" */
+
+			var parent = elem.parentNode;
+			if ( parent ) {
+				parent.selectedIndex;
+
+				if ( parent.parentNode ) {
+					parent.parentNode.selectedIndex;
+				}
+			}
+		}
+	};
+}
+
+jQuery.each( [
+	"tabIndex",
+	"readOnly",
+	"maxLength",
+	"cellSpacing",
+	"cellPadding",
+	"rowSpan",
+	"colSpan",
+	"useMap",
+	"frameBorder",
+	"contentEditable"
+], function() {
+	jQuery.propFix[ this.toLowerCase() ] = this;
+} );
+
+
+
+
+	// Strip and collapse whitespace according to HTML spec
+	// https://infra.spec.whatwg.org/#strip-and-collapse-ascii-whitespace
+	function stripAndCollapse( value ) {
+		var tokens = value.match( rnothtmlwhite ) || [];
+		return tokens.join( " " );
+	}
+
+
+function getClass( elem ) {
+	return elem.getAttribute && elem.getAttribute( "class" ) || "";
+}
+
+function classesToArray( value ) {
+	if ( Array.isArray( value ) ) {
+		return value;
+	}
+	if ( typeof value === "string" ) {
+		return value.match( rnothtmlwhite ) || [];
+	}
+	return [];
+}
+
+jQuery.fn.extend( {
+	addClass: function( value ) {
+		var classes, elem, cur, curValue, clazz, j, finalValue,
+			i = 0;
+
+		if ( isFunction( value ) ) {
+			return this.each( function( j ) {
+				jQuery( this ).addClass( value.call( this, j, getClass( this ) ) );
+			} );
+		}
+
+		classes = classesToArray( value );
+
+		if ( classes.length ) {
+			while ( ( elem = this[ i++ ] ) ) {
+				curValue = getClass( elem );
+				cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
+
+				if ( cur ) {
+					j = 0;
+					while ( ( clazz = classes[ j++ ] ) ) {
+						if ( cur.indexOf( " " + clazz + " " ) < 0 ) {
+							cur += clazz + " ";
+						}
+					}
+
+					// Only assign if different to avoid unneeded rendering.
+					finalValue = stripAndCollapse( cur );
+					if ( curValue !== finalValue ) {
+						elem.setAttribute( "class", finalValue );
+					}
+				}
+			}
+		}
+
+		return this;
+	},
+
+	removeClass: function( value ) {
+		var classes, elem, cur, curValue, clazz, j, finalValue,
+			i = 0;
+
+		if ( isFunction( value ) ) {
+			return this.each( function( j ) {
+				jQuery( this ).removeClass( value.call( this, j, getClass( this ) ) );
+			} );
+		}
+
+		if ( !arguments.length ) {
+			return this.attr( "class", "" );
+		}
+
+		classes = classesToArray( value );
+
+		if ( classes.length ) {
+			while ( ( elem = this[ i++ ] ) ) {
+				curValue = getClass( elem );
+
+				// This expression is here for better compressibility (see addClass)
+				cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
+
+				if ( cur ) {
+					j = 0;
+					while ( ( clazz = classes[ j++ ] ) ) {
+
+						// Remove *all* instances
+						while ( cur.indexOf( " " + clazz + " " ) > -1 ) {
+							cur = cur.replace( " " + clazz + " ", " " );
+						}
+					}
+
+					// Only assign if different to avoid unneeded rendering.
+					finalValue = stripAndCollapse( cur );
+					if ( curValue !== finalValue ) {
+						elem.setAttribute( "class", finalValue );
+					}
+				}
+			}
+		}
+
+		return this;
+	},
+
+	toggleClass: function( value, stateVal ) {
+		var type = typeof value,
+			isValidValue = type === "string" || Array.isArray( value );
+
+		if ( typeof stateVal === "boolean" && isValidValue ) {
+			return stateVal ? this.addClass( value ) : this.removeClass( value );
+		}
+
+		if ( isFunction( value ) ) {
+			return this.each( function( i ) {
+				jQuery( this ).toggleClass(
+					value.call( this, i, getClass( this ), stateVal ),
+					stateVal
+				);
+			} );
+		}
+
+		return this.each( function() {
+			var className, i, self, classNames;
+
+			if ( isValidValue ) {
+
+				// Toggle individual class names
+				i = 0;
+				self = jQuery( this );
+				classNames = classesToArray( value );
+
+				while ( ( className = classNames[ i++ ] ) ) {
+
+					// Check each className given, space separated list
+					if ( self.hasClass( className ) ) {
+						self.removeClass( className );
+					} else {
+						self.addClass( className );
+					}
+				}
+
+			// Toggle whole class name
+			} else if ( value === undefined || type === "boolean" ) {
+				className = getClass( this );
+				if ( className ) {
+
+					// Store className if set
+					dataPriv.set( this, "__className__", className );
+				}
+
+				// If the element has a class name or if we're passed `false`,
+				// then remove the whole classname (if there was one, the above saved it).
+				// Otherwise bring back whatever was previously saved (if anything),
+				// falling back to the empty string if nothing was stored.
+				if ( this.setAttribute ) {
+					this.setAttribute( "class",
+						className || value === false ?
+						"" :
+						dataPriv.get( this, "__className__" ) || ""
+					);
+				}
+			}
+		} );
+	},
+
+	hasClass: function( selector ) {
+		var className, elem,
+			i = 0;
+
+		className = " " + selector + " ";
+		while ( ( elem = this[ i++ ] ) ) {
+			if ( elem.nodeType === 1 &&
+				( " " + stripAndCollapse( getClass( elem ) ) + " " ).indexOf( className ) > -1 ) {
+					return true;
+			}
+		}
+
+		return false;
+	}
+} );
+
+
+
+
+var rreturn = /\r/g;
+
+jQuery.fn.extend( {
+	val: function( value ) {
+		var hooks, ret, valueIsFunction,
+			elem = this[ 0 ];
+
+		if ( !arguments.length ) {
+			if ( elem ) {
+				hooks = jQuery.valHooks[ elem.type ] ||
+					jQuery.valHooks[ elem.nodeName.toLowerCase() ];
+
+				if ( hooks &&
+					"get" in hooks &&
+					( ret = hooks.get( elem, "value" ) ) !== undefined
+				) {
+					return ret;
+				}
+
+				ret = elem.value;
+
+				// Handle most common string cases
+				if ( typeof ret === "string" ) {
+					return ret.replace( rreturn, "" );
+				}
+
+				// Handle cases where value is null/undef or number
+				return ret == null ? "" : ret;
+			}
+
+			return;
+		}
+
+		valueIsFunction = isFunction( value );
+
+		return this.each( function( i ) {
+			var val;
+
+			if ( this.nodeType !== 1 ) {
+				return;
+			}
+
+			if ( valueIsFunction ) {
+				val = value.call( this, i, jQuery( this ).val() );
+			} else {
+				val = value;
+			}
+
+			// Treat null/undefined as ""; convert numbers to string
+			if ( val == null ) {
+				val = "";
+
+			} else if ( typeof val === "number" ) {
+				val += "";
+
+			} else if ( Array.isArray( val ) ) {
+				val = jQuery.map( val, function( value ) {
+					return value == null ? "" : value + "";
+				} );
+			}
+
+			hooks = jQuery.valHooks[ this.type ] || jQuery.valHooks[ this.nodeName.toLowerCase() ];
+
+			// If set returns undefined, fall back to normal setting
+			if ( !hooks || !( "set" in hooks ) || hooks.set( this, val, "value" ) === undefined ) {
+				this.value = val;
+			}
+		} );
+	}
+} );
+
+jQuery.extend( {
+	valHooks: {
+		option: {
+			get: function( elem ) {
+
+				var val = jQuery.find.attr( elem, "value" );
+				return val != null ?
+					val :
+
+					// Support: IE <=10 - 11 only
+					// option.text throws exceptions (#14686, #14858)
+					// Strip and collapse whitespace
+					// https://html.spec.whatwg.org/#strip-and-collapse-whitespace
+					stripAndCollapse( jQuery.text( elem ) );
+			}
+		},
+		select: {
+			get: function( elem ) {
+				var value, option, i,
+					options = elem.options,
+					index = elem.selectedIndex,
+					one = elem.type === "select-one",
+					values = one ? null : [],
+					max = one ? index + 1 : options.length;
+
+				if ( index < 0 ) {
+					i = max;
+
+				} else {
+					i = one ? index : 0;
+				}
+
+				// Loop through all the selected options
+				for ( ; i < max; i++ ) {
+					option = options[ i ];
+
+					// Support: IE <=9 only
+					// IE8-9 doesn't update selected after form reset (#2551)
+					if ( ( option.selected || i === index ) &&
+
+							// Don't return options that are disabled or in a disabled optgroup
+							!option.disabled &&
+							( !option.parentNode.disabled ||
+								!nodeName( option.parentNode, "optgroup" ) ) ) {
+
+						// Get the specific value for the option
+						value = jQuery( option ).val();
+
+						// We don't need an array for one selects
+						if ( one ) {
+							return value;
+						}
+
+						// Multi-Selects return an array
+						values.push( value );
+					}
+				}
+
+				return values;
+			},
+
+			set: function( elem, value ) {
+				var optionSet, option,
+					options = elem.options,
+					values = jQuery.makeArray( value ),
+					i = options.length;
+
+				while ( i-- ) {
+					option = options[ i ];
+
+					/* eslint-disable no-cond-assign */
+
+					if ( option.selected =
+						jQuery.inArray( jQuery.valHooks.option.get( option ), values ) > -1
+					) {
+						optionSet = true;
+					}
+
+					/* eslint-enable no-cond-assign */
+				}
+
+				// Force browsers to behave consistently when non-matching value is set
+				if ( !optionSet ) {
+					elem.selectedIndex = -1;
+				}
+				return values;
+			}
+		}
+	}
+} );
+
+// Radios and checkboxes getter/setter
+jQuery.each( [ "radio", "checkbox" ], function() {
+	jQuery.valHooks[ this ] = {
+		set: function( elem, value ) {
+			if ( Array.isArray( value ) ) {
+				return ( elem.checked = jQuery.inArray( jQuery( elem ).val(), value ) > -1 );
+			}
+		}
+	};
+	if ( !support.checkOn ) {
+		jQuery.valHooks[ this ].get = function( elem ) {
+			return elem.getAttribute( "value" ) === null ? "on" : elem.value;
+		};
+	}
+} );
+
+
+
+
+// Return jQuery for attributes-only inclusion
+
+
+support.focusin = "onfocusin" in window;
+
+
+var rfocusMorph = /^(?:focusinfocus|focusoutblur)$/,
+	stopPropagationCallback = function( e ) {
+		e.stopPropagation();
+	};
+
+jQuery.extend( jQuery.event, {
+
+	trigger: function( event, data, elem, onlyHandlers ) {
+
+		var i, cur, tmp, bubbleType, ontype, handle, special, lastElement,
+			eventPath = [ elem || document ],
+			type = hasOwn.call( event, "type" ) ? event.type : event,
+			namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split( "." ) : [];
+
+		cur = lastElement = tmp = elem = elem || document;
+
+		// Don't do events on text and comment nodes
+		if ( elem.nodeType === 3 || elem.nodeType === 8 ) {
+			return;
+		}
+
+		// focus/blur morphs to focusin/out; ensure we're not firing them right now
+		if ( rfocusMorph.test( type + jQuery.event.triggered ) ) {
+			return;
+		}
+
+		if ( type.indexOf( "." ) > -1 ) {
+
+			// Namespaced trigger; create a regexp to match event type in handle()
+			namespaces = type.split( "." );
+			type = namespaces.shift();
+			namespaces.sort();
+		}
+		ontype = type.indexOf( ":" ) < 0 && "on" + type;
+
+		// Caller can pass in a jQuery.Event object, Object, or just an event type string
+		event = event[ jQuery.expando ] ?
+			event :
+			new jQuery.Event( type, typeof event === "object" && event );
+
+		// Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true)
+		event.isTrigger = onlyHandlers ? 2 : 3;
+		event.namespace = namespaces.join( "." );
+		event.rnamespace = event.namespace ?
+			new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ) :
+			null;
+
+		// Clean up the event in case it is being reused
+		event.result = undefined;
+		if ( !event.target ) {
+			event.target = elem;
+		}
+
+		// Clone any incoming data and prepend the event, creating the handler arg list
+		data = data == null ?
+			[ event ] :
+			jQuery.makeArray( data, [ event ] );
+
+		// Allow special events to draw outside the lines
+		special = jQuery.event.special[ type ] || {};
+		if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) {
+			return;
+		}
+
+		// Determine event propagation path in advance, per W3C events spec (#9951)
+		// Bubble up to document, then to window; watch for a global ownerDocument var (#9724)
+		if ( !onlyHandlers && !special.noBubble && !isWindow( elem ) ) {
+
+			bubbleType = special.delegateType || type;
+			if ( !rfocusMorph.test( bubbleType + type ) ) {
+				cur = cur.parentNode;
+			}
+			for ( ; cur; cur = cur.parentNode ) {
+				eventPath.push( cur );
+				tmp = cur;
+			}
+
+			// Only add window if we got to document (e.g., not plain obj or detached DOM)
+			if ( tmp === ( elem.ownerDocument || document ) ) {
+				eventPath.push( tmp.defaultView || tmp.parentWindow || window );
+			}
+		}
+
+		// Fire handlers on the event path
+		i = 0;
+		while ( ( cur = eventPath[ i++ ] ) && !event.isPropagationStopped() ) {
+			lastElement = cur;
+			event.type = i > 1 ?
+				bubbleType :
+				special.bindType || type;
+
+			// jQuery handler
+			handle = (
+					dataPriv.get( cur, "events" ) || Object.create( null )
+				)[ event.type ] &&
+				dataPriv.get( cur, "handle" );
+			if ( handle ) {
+				handle.apply( cur, data );
+			}
+
+			// Native handler
+			handle = ontype && cur[ ontype ];
+			if ( handle && handle.apply && acceptData( cur ) ) {
+				event.result = handle.apply( cur, data );
+				if ( event.result === false ) {
+					event.preventDefault();
+				}
+			}
+		}
+		event.type = type;
+
+		// If nobody prevented the default action, do it now
+		if ( !onlyHandlers && !event.isDefaultPrevented() ) {
+
+			if ( ( !special._default ||
+				special._default.apply( eventPath.pop(), data ) === false ) &&
+				acceptData( elem ) ) {
+
+				// Call a native DOM method on the target with the same name as the event.
+				// Don't do default actions on window, that's where global variables be (#6170)
+				if ( ontype && isFunction( elem[ type ] ) && !isWindow( elem ) ) {
+
+					// Don't re-trigger an onFOO event when we call its FOO() method
+					tmp = elem[ ontype ];
+
+					if ( tmp ) {
+						elem[ ontype ] = null;
+					}
+
+					// Prevent re-triggering of the same event, since we already bubbled it above
+					jQuery.event.triggered = type;
+
+					if ( event.isPropagationStopped() ) {
+						lastElement.addEventListener( type, stopPropagationCallback );
+					}
+
+					elem[ type ]();
+
+					if ( event.isPropagationStopped() ) {
+						lastElement.removeEventListener( type, stopPropagationCallback );
+					}
+
+					jQuery.event.triggered = undefined;
+
+					if ( tmp ) {
+						elem[ ontype ] = tmp;
+					}
+				}
+			}
+		}
+
+		return event.result;
+	},
+
+	// Piggyback on a donor event to simulate a different one
+	// Used only for `focus(in | out)` events
+	simulate: function( type, elem, event ) {
+		var e = jQuery.extend(
+			new jQuery.Event(),
+			event,
+			{
+				type: type,
+				isSimulated: true
+			}
+		);
+
+		jQuery.event.trigger( e, null, elem );
+	}
+
+} );
+
+jQuery.fn.extend( {
+
+	trigger: function( type, data ) {
+		return this.each( function() {
+			jQuery.event.trigger( type, data, this );
+		} );
+	},
+	triggerHandler: function( type, data ) {
+		var elem = this[ 0 ];
+		if ( elem ) {
+			return jQuery.event.trigger( type, data, elem, true );
+		}
+	}
+} );
+
+
+// Support: Firefox <=44
+// Firefox doesn't have focus(in | out) events
+// Related ticket - https://bugzilla.mozilla.org/show_bug.cgi?id=687787
+//
+// Support: Chrome <=48 - 49, Safari <=9.0 - 9.1
+// focus(in | out) events fire after focus & blur events,
+// which is spec violation - http://www.w3.org/TR/DOM-Level-3-Events/#events-focusevent-event-order
+// Related ticket - https://bugs.chromium.org/p/chromium/issues/detail?id=449857
+if ( !support.focusin ) {
+	jQuery.each( { focus: "focusin", blur: "focusout" }, function( orig, fix ) {
+
+		// Attach a single capturing handler on the document while someone wants focusin/focusout
+		var handler = function( event ) {
+			jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ) );
+		};
+
+		jQuery.event.special[ fix ] = {
+			setup: function() {
+
+				// Handle: regular nodes (via `this.ownerDocument`), window
+				// (via `this.document`) & document (via `this`).
+				var doc = this.ownerDocument || this.document || this,
+					attaches = dataPriv.access( doc, fix );
+
+				if ( !attaches ) {
+					doc.addEventListener( orig, handler, true );
+				}
+				dataPriv.access( doc, fix, ( attaches || 0 ) + 1 );
+			},
+			teardown: function() {
+				var doc = this.ownerDocument || this.document || this,
+					attaches = dataPriv.access( doc, fix ) - 1;
+
+				if ( !attaches ) {
+					doc.removeEventListener( orig, handler, true );
+					dataPriv.remove( doc, fix );
+
+				} else {
+					dataPriv.access( doc, fix, attaches );
+				}
+			}
+		};
+	} );
+}
+var location = window.location;
+
+var nonce = { guid: Date.now() };
+
+var rquery = ( /\?/ );
+
+
+
+// Cross-browser xml parsing
+jQuery.parseXML = function( data ) {
+	var xml;
+	if ( !data || typeof data !== "string" ) {
+		return null;
+	}
+
+	// Support: IE 9 - 11 only
+	// IE throws on parseFromString with invalid input.
+	try {
+		xml = ( new window.DOMParser() ).parseFromString( data, "text/xml" );
+	} catch ( e ) {
+		xml = undefined;
+	}
+
+	if ( !xml || xml.getElementsByTagName( "parsererror" ).length ) {
+		jQuery.error( "Invalid XML: " + data );
+	}
+	return xml;
+};
+
+
+var
+	rbracket = /\[\]$/,
+	rCRLF = /\r?\n/g,
+	rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i,
+	rsubmittable = /^(?:input|select|textarea|keygen)/i;
+
+function buildParams( prefix, obj, traditional, add ) {
+	var name;
+
+	if ( Array.isArray( obj ) ) {
+
+		// Serialize array item.
+		jQuery.each( obj, function( i, v ) {
+			if ( traditional || rbracket.test( prefix ) ) {
+
+				// Treat each array item as a scalar.
+				add( prefix, v );
+
+			} else {
+
+				// Item is non-scalar (array or object), encode its numeric index.
+				buildParams(
+					prefix + "[" + ( typeof v === "object" && v != null ? i : "" ) + "]",
+					v,
+					traditional,
+					add
+				);
+			}
+		} );
+
+	} else if ( !traditional && toType( obj ) === "object" ) {
+
+		// Serialize object item.
+		for ( name in obj ) {
+			buildParams( prefix + "[" + name + "]", obj[ name ], traditional, add );
+		}
+
+	} else {
+
+		// Serialize scalar item.
+		add( prefix, obj );
+	}
+}
+
+// Serialize an array of form elements or a set of
+// key/values into a query string
+jQuery.param = function( a, traditional ) {
+	var prefix,
+		s = [],
+		add = function( key, valueOrFunction ) {
+
+			// If value is a function, invoke it and use its return value
+			var value = isFunction( valueOrFunction ) ?
+				valueOrFunction() :
+				valueOrFunction;
+
+			s[ s.length ] = encodeURIComponent( key ) + "=" +
+				encodeURIComponent( value == null ? "" : value );
+		};
+
+	if ( a == null ) {
+		return "";
+	}
+
+	// If an array was passed in, assume that it is an array of form elements.
+	if ( Array.isArray( a ) || ( a.jquery && !jQuery.isPlainObject( a ) ) ) {
+
+		// Serialize the form elements
+		jQuery.each( a, function() {
+			add( this.name, this.value );
+		} );
+
+	} else {
+
+		// If traditional, encode the "old" way (the way 1.3.2 or older
+		// did it), otherwise encode params recursively.
+		for ( prefix in a ) {
+			buildParams( prefix, a[ prefix ], traditional, add );
+		}
+	}
+
+	// Return the resulting serialization
+	return s.join( "&" );
+};
+
+jQuery.fn.extend( {
+	serialize: function() {
+		return jQuery.param( this.serializeArray() );
+	},
+	serializeArray: function() {
+		return this.map( function() {
+
+			// Can add propHook for "elements" to filter or add form elements
+			var elements = jQuery.prop( this, "elements" );
+			return elements ? jQuery.makeArray( elements ) : this;
+		} )
+		.filter( function() {
+			var type = this.type;
+
+			// Use .is( ":disabled" ) so that fieldset[disabled] works
+			return this.name && !jQuery( this ).is( ":disabled" ) &&
+				rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) &&
+				( this.checked || !rcheckableType.test( type ) );
+		} )
+		.map( function( _i, elem ) {
+			var val = jQuery( this ).val();
+
+			if ( val == null ) {
+				return null;
+			}
+
+			if ( Array.isArray( val ) ) {
+				return jQuery.map( val, function( val ) {
+					return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
+				} );
+			}
+
+			return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
+		} ).get();
+	}
+} );
+
+
+var
+	r20 = /%20/g,
+	rhash = /#.*$/,
+	rantiCache = /([?&])_=[^&]*/,
+	rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg,
+
+	// #7653, #8125, #8152: local protocol detection
+	rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/,
+	rnoContent = /^(?:GET|HEAD)$/,
+	rprotocol = /^\/\//,
+
+	/* Prefilters
+	 * 1) They are useful to introduce custom dataTypes (see ajax/jsonp.js for an example)
+	 * 2) These are called:
+	 *    - BEFORE asking for a transport
+	 *    - AFTER param serialization (s.data is a string if s.processData is true)
+	 * 3) key is the dataType
+	 * 4) the catchall symbol "*" can be used
+	 * 5) execution will start with transport dataType and THEN continue down to "*" if needed
+	 */
+	prefilters = {},
+
+	/* Transports bindings
+	 * 1) key is the dataType
+	 * 2) the catchall symbol "*" can be used
+	 * 3) selection will start with transport dataType and THEN go to "*" if needed
+	 */
+	transports = {},
+
+	// Avoid comment-prolog char sequence (#10098); must appease lint and evade compression
+	allTypes = "*/".concat( "*" ),
+
+	// Anchor tag for parsing the document origin
+	originAnchor = document.createElement( "a" );
+	originAnchor.href = location.href;
+
+// Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport
+function addToPrefiltersOrTransports( structure ) {
+
+	// dataTypeExpression is optional and defaults to "*"
+	return function( dataTypeExpression, func ) {
+
+		if ( typeof dataTypeExpression !== "string" ) {
+			func = dataTypeExpression;
+			dataTypeExpression = "*";
+		}
+
+		var dataType,
+			i = 0,
+			dataTypes = dataTypeExpression.toLowerCase().match( rnothtmlwhite ) || [];
+
+		if ( isFunction( func ) ) {
+
+			// For each dataType in the dataTypeExpression
+			while ( ( dataType = dataTypes[ i++ ] ) ) {
+
+				// Prepend if requested
+				if ( dataType[ 0 ] === "+" ) {
+					dataType = dataType.slice( 1 ) || "*";
+					( structure[ dataType ] = structure[ dataType ] || [] ).unshift( func );
+
+				// Otherwise append
+				} else {
+					( structure[ dataType ] = structure[ dataType ] || [] ).push( func );
+				}
+			}
+		}
+	};
+}
+
+// Base inspection function for prefilters and transports
+function inspectPrefiltersOrTransports( structure, options, originalOptions, jqXHR ) {
+
+	var inspected = {},
+		seekingTransport = ( structure === transports );
+
+	function inspect( dataType ) {
+		var selected;
+		inspected[ dataType ] = true;
+		jQuery.each( structure[ dataType ] || [], function( _, prefilterOrFactory ) {
+			var dataTypeOrTransport = prefilterOrFactory( options, originalOptions, jqXHR );
+			if ( typeof dataTypeOrTransport === "string" &&
+				!seekingTransport && !inspected[ dataTypeOrTransport ] ) {
+
+				options.dataTypes.unshift( dataTypeOrTransport );
+				inspect( dataTypeOrTransport );
+				return false;
+			} else if ( seekingTransport ) {
+				return !( selected = dataTypeOrTransport );
+			}
+		} );
+		return selected;
+	}
+
+	return inspect( options.dataTypes[ 0 ] ) || !inspected[ "*" ] && inspect( "*" );
+}
+
+// A special extend for ajax options
+// that takes "flat" options (not to be deep extended)
+// Fixes #9887
+function ajaxExtend( target, src ) {
+	var key, deep,
+		flatOptions = jQuery.ajaxSettings.flatOptions || {};
+
+	for ( key in src ) {
+		if ( src[ key ] !== undefined ) {
+			( flatOptions[ key ] ? target : ( deep || ( deep = {} ) ) )[ key ] = src[ key ];
+		}
+	}
+	if ( deep ) {
+		jQuery.extend( true, target, deep );
+	}
+
+	return target;
+}
+
+/* Handles responses to an ajax request:
+ * - finds the right dataType (mediates between content-type and expected dataType)
+ * - returns the corresponding response
+ */
+function ajaxHandleResponses( s, jqXHR, responses ) {
+
+	var ct, type, finalDataType, firstDataType,
+		contents = s.contents,
+		dataTypes = s.dataTypes;
+
+	// Remove auto dataType and get content-type in the process
+	while ( dataTypes[ 0 ] === "*" ) {
+		dataTypes.shift();
+		if ( ct === undefined ) {
+			ct = s.mimeType || jqXHR.getResponseHeader( "Content-Type" );
+		}
+	}
+
+	// Check if we're dealing with a known content-type
+	if ( ct ) {
+		for ( type in contents ) {
+			if ( contents[ type ] && contents[ type ].test( ct ) ) {
+				dataTypes.unshift( type );
+				break;
+			}
+		}
+	}
+
+	// Check to see if we have a response for the expected dataType
+	if ( dataTypes[ 0 ] in responses ) {
+		finalDataType = dataTypes[ 0 ];
+	} else {
+
+		// Try convertible dataTypes
+		for ( type in responses ) {
+			if ( !dataTypes[ 0 ] || s.converters[ type + " " + dataTypes[ 0 ] ] ) {
+				finalDataType = type;
+				break;
+			}
+			if ( !firstDataType ) {
+				firstDataType = type;
+			}
+		}
+
+		// Or just use first one
+		finalDataType = finalDataType || firstDataType;
+	}
+
+	// If we found a dataType
+	// We add the dataType to the list if needed
+	// and return the corresponding response
+	if ( finalDataType ) {
+		if ( finalDataType !== dataTypes[ 0 ] ) {
+			dataTypes.unshift( finalDataType );
+		}
+		return responses[ finalDataType ];
+	}
+}
+
+/* Chain conversions given the request and the original response
+ * Also sets the responseXXX fields on the jqXHR instance
+ */
+function ajaxConvert( s, response, jqXHR, isSuccess ) {
+	var conv2, current, conv, tmp, prev,
+		converters = {},
+
+		// Work with a copy of dataTypes in case we need to modify it for conversion
+		dataTypes = s.dataTypes.slice();
+
+	// Create converters map with lowercased keys
+	if ( dataTypes[ 1 ] ) {
+		for ( conv in s.converters ) {
+			converters[ conv.toLowerCase() ] = s.converters[ conv ];
+		}
+	}
+
+	current = dataTypes.shift();
+
+	// Convert to each sequential dataType
+	while ( current ) {
+
+		if ( s.responseFields[ current ] ) {
+			jqXHR[ s.responseFields[ current ] ] = response;
+		}
+
+		// Apply the dataFilter if provided
+		if ( !prev && isSuccess && s.dataFilter ) {
+			response = s.dataFilter( response, s.dataType );
+		}
+
+		prev = current;
+		current = dataTypes.shift();
+
+		if ( current ) {
+
+			// There's only work to do if current dataType is non-auto
+			if ( current === "*" ) {
+
+				current = prev;
+
+			// Convert response if prev dataType is non-auto and differs from current
+			} else if ( prev !== "*" && prev !== current ) {
+
+				// Seek a direct converter
+				conv = converters[ prev + " " + current ] || converters[ "* " + current ];
+
+				// If none found, seek a pair
+				if ( !conv ) {
+					for ( conv2 in converters ) {
+
+						// If conv2 outputs current
+						tmp = conv2.split( " " );
+						if ( tmp[ 1 ] === current ) {
+
+							// If prev can be converted to accepted input
+							conv = converters[ prev + " " + tmp[ 0 ] ] ||
+								converters[ "* " + tmp[ 0 ] ];
+							if ( conv ) {
+
+								// Condense equivalence converters
+								if ( conv === true ) {
+									conv = converters[ conv2 ];
+
+								// Otherwise, insert the intermediate dataType
+								} else if ( converters[ conv2 ] !== true ) {
+									current = tmp[ 0 ];
+									dataTypes.unshift( tmp[ 1 ] );
+								}
+								break;
+							}
+						}
+					}
+				}
+
+				// Apply converter (if not an equivalence)
+				if ( conv !== true ) {
+
+					// Unless errors are allowed to bubble, catch and return them
+					if ( conv && s.throws ) {
+						response = conv( response );
+					} else {
+						try {
+							response = conv( response );
+						} catch ( e ) {
+							return {
+								state: "parsererror",
+								error: conv ? e : "No conversion from " + prev + " to " + current
+							};
+						}
+					}
+				}
+			}
+		}
+	}
+
+	return { state: "success", data: response };
+}
+
+jQuery.extend( {
+
+	// Counter for holding the number of active queries
+	active: 0,
+
+	// Last-Modified header cache for next request
+	lastModified: {},
+	etag: {},
+
+	ajaxSettings: {
+		url: location.href,
+		type: "GET",
+		isLocal: rlocalProtocol.test( location.protocol ),
+		global: true,
+		processData: true,
+		async: true,
+		contentType: "application/x-www-form-urlencoded; charset=UTF-8",
+
+		/*
+		timeout: 0,
+		data: null,
+		dataType: null,
+		username: null,
+		password: null,
+		cache: null,
+		throws: false,
+		traditional: false,
+		headers: {},
+		*/
+
+		accepts: {
+			"*": allTypes,
+			text: "text/plain",
+			html: "text/html",
+			xml: "application/xml, text/xml",
+			json: "application/json, text/javascript"
+		},
+
+		contents: {
+			xml: /\bxml\b/,
+			html: /\bhtml/,
+			json: /\bjson\b/
+		},
+
+		responseFields: {
+			xml: "responseXML",
+			text: "responseText",
+			json: "responseJSON"
+		},
+
+		// Data converters
+		// Keys separate source (or catchall "*") and destination types with a single space
+		converters: {
+
+			// Convert anything to text
+			"* text": String,
+
+			// Text to html (true = no transformation)
+			"text html": true,
+
+			// Evaluate text as a json expression
+			"text json": JSON.parse,
+
+			// Parse text as xml
+			"text xml": jQuery.parseXML
+		},
+
+		// For options that shouldn't be deep extended:
+		// you can add your own custom options here if
+		// and when you create one that shouldn't be
+		// deep extended (see ajaxExtend)
+		flatOptions: {
+			url: true,
+			context: true
+		}
+	},
+
+	// Creates a full fledged settings object into target
+	// with both ajaxSettings and settings fields.
+	// If target is omitted, writes into ajaxSettings.
+	ajaxSetup: function( target, settings ) {
+		return settings ?
+
+			// Building a settings object
+			ajaxExtend( ajaxExtend( target, jQuery.ajaxSettings ), settings ) :
+
+			// Extending ajaxSettings
+			ajaxExtend( jQuery.ajaxSettings, target );
+	},
+
+	ajaxPrefilter: addToPrefiltersOrTransports( prefilters ),
+	ajaxTransport: addToPrefiltersOrTransports( transports ),
+
+	// Main method
+	ajax: function( url, options ) {
+
+		// If url is an object, simulate pre-1.5 signature
+		if ( typeof url === "object" ) {
+			options = url;
+			url = undefined;
+		}
+
+		// Force options to be an object
+		options = options || {};
+
+		var transport,
+
+			// URL without anti-cache param
+			cacheURL,
+
+			// Response headers
+			responseHeadersString,
+			responseHeaders,
+
+			// timeout handle
+			timeoutTimer,
+
+			// Url cleanup var
+			urlAnchor,
+
+			// Request state (becomes false upon send and true upon completion)
+			completed,
+
+			// To know if global events are to be dispatched
+			fireGlobals,
+
+			// Loop variable
+			i,
+
+			// uncached part of the url
+			uncached,
+
+			// Create the final options object
+			s = jQuery.ajaxSetup( {}, options ),
+
+			// Callbacks context
+			callbackContext = s.context || s,
+
+			// Context for global events is callbackContext if it is a DOM node or jQuery collection
+			globalEventContext = s.context &&
+				( callbackContext.nodeType || callbackContext.jquery ) ?
+					jQuery( callbackContext ) :
+					jQuery.event,
+
+			// Deferreds
+			deferred = jQuery.Deferred(),
+			completeDeferred = jQuery.Callbacks( "once memory" ),
+
+			// Status-dependent callbacks
+			statusCode = s.statusCode || {},
+
+			// Headers (they are sent all at once)
+			requestHeaders = {},
+			requestHeadersNames = {},
+
+			// Default abort message
+			strAbort = "canceled",
+
+			// Fake xhr
+			jqXHR = {
+				readyState: 0,
+
+				// Builds headers hashtable if needed
+				getResponseHeader: function( key ) {
+					var match;
+					if ( completed ) {
+						if ( !responseHeaders ) {
+							responseHeaders = {};
+							while ( ( match = rheaders.exec( responseHeadersString ) ) ) {
+								responseHeaders[ match[ 1 ].toLowerCase() + " " ] =
+									( responseHeaders[ match[ 1 ].toLowerCase() + " " ] || [] )
+										.concat( match[ 2 ] );
+							}
+						}
+						match = responseHeaders[ key.toLowerCase() + " " ];
+					}
+					return match == null ? null : match.join( ", " );
+				},
+
+				// Raw string
+				getAllResponseHeaders: function() {
+					return completed ? responseHeadersString : null;
+				},
+
+				// Caches the header
+				setRequestHeader: function( name, value ) {
+					if ( completed == null ) {
+						name = requestHeadersNames[ name.toLowerCase() ] =
+							requestHeadersNames[ name.toLowerCase() ] || name;
+						requestHeaders[ name ] = value;
+					}
+					return this;
+				},
+
+				// Overrides response content-type header
+				overrideMimeType: function( type ) {
+					if ( completed == null ) {
+						s.mimeType = type;
+					}
+					return this;
+				},
+
+				// Status-dependent callbacks
+				statusCode: function( map ) {
+					var code;
+					if ( map ) {
+						if ( completed ) {
+
+							// Execute the appropriate callbacks
+							jqXHR.always( map[ jqXHR.status ] );
+						} else {
+
+							// Lazy-add the new callbacks in a way that preserves old ones
+							for ( code in map ) {
+								statusCode[ code ] = [ statusCode[ code ], map[ code ] ];
+							}
+						}
+					}
+					return this;
+				},
+
+				// Cancel the request
+				abort: function( statusText ) {
+					var finalText = statusText || strAbort;
+					if ( transport ) {
+						transport.abort( finalText );
+					}
+					done( 0, finalText );
+					return this;
+				}
+			};
+
+		// Attach deferreds
+		deferred.promise( jqXHR );
+
+		// Add protocol if not provided (prefilters might expect it)
+		// Handle falsy url in the settings object (#10093: consistency with old signature)
+		// We also use the url parameter if available
+		s.url = ( ( url || s.url || location.href ) + "" )
+			.replace( rprotocol, location.protocol + "//" );
+
+		// Alias method option to type as per ticket #12004
+		s.type = options.method || options.type || s.method || s.type;
+
+		// Extract dataTypes list
+		s.dataTypes = ( s.dataType || "*" ).toLowerCase().match( rnothtmlwhite ) || [ "" ];
+
+		// A cross-domain request is in order when the origin doesn't match the current origin.
+		if ( s.crossDomain == null ) {
+			urlAnchor = document.createElement( "a" );
+
+			// Support: IE <=8 - 11, Edge 12 - 15
+			// IE throws exception on accessing the href property if url is malformed,
+			// e.g. http://example.com:80x/
+			try {
+				urlAnchor.href = s.url;
+
+				// Support: IE <=8 - 11 only
+				// Anchor's host property isn't correctly set when s.url is relative
+				urlAnchor.href = urlAnchor.href;
+				s.crossDomain = originAnchor.protocol + "//" + originAnchor.host !==
+					urlAnchor.protocol + "//" + urlAnchor.host;
+			} catch ( e ) {
+
+				// If there is an error parsing the URL, assume it is crossDomain,
+				// it can be rejected by the transport if it is invalid
+				s.crossDomain = true;
+			}
+		}
+
+		// Convert data if not already a string
+		if ( s.data && s.processData && typeof s.data !== "string" ) {
+			s.data = jQuery.param( s.data, s.traditional );
+		}
+
+		// Apply prefilters
+		inspectPrefiltersOrTransports( prefilters, s, options, jqXHR );
+
+		// If request was aborted inside a prefilter, stop there
+		if ( completed ) {
+			return jqXHR;
+		}
+
+		// We can fire global events as of now if asked to
+		// Don't fire events if jQuery.event is undefined in an AMD-usage scenario (#15118)
+		fireGlobals = jQuery.event && s.global;
+
+		// Watch for a new set of requests
+		if ( fireGlobals && jQuery.active++ === 0 ) {
+			jQuery.event.trigger( "ajaxStart" );
+		}
+
+		// Uppercase the type
+		s.type = s.type.toUpperCase();
+
+		// Determine if request has content
+		s.hasContent = !rnoContent.test( s.type );
+
+		// Save the URL in case we're toying with the If-Modified-Since
+		// and/or If-None-Match header later on
+		// Remove hash to simplify url manipulation
+		cacheURL = s.url.replace( rhash, "" );
+
+		// More options handling for requests with no content
+		if ( !s.hasContent ) {
+
+			// Remember the hash so we can put it back
+			uncached = s.url.slice( cacheURL.length );
+
+			// If data is available and should be processed, append data to url
+			if ( s.data && ( s.processData || typeof s.data === "string" ) ) {
+				cacheURL += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data;
+
+				// #9682: remove data so that it's not used in an eventual retry
+				delete s.data;
+			}
+
+			// Add or update anti-cache param if needed
+			if ( s.cache === false ) {
+				cacheURL = cacheURL.replace( rantiCache, "$1" );
+				uncached = ( rquery.test( cacheURL ) ? "&" : "?" ) + "_=" + ( nonce.guid++ ) +
+					uncached;
+			}
+
+			// Put hash and anti-cache on the URL that will be requested (gh-1732)
+			s.url = cacheURL + uncached;
+
+		// Change '%20' to '+' if this is encoded form body content (gh-2658)
+		} else if ( s.data && s.processData &&
+			( s.contentType || "" ).indexOf( "application/x-www-form-urlencoded" ) === 0 ) {
+			s.data = s.data.replace( r20, "+" );
+		}
+
+		// Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
+		if ( s.ifModified ) {
+			if ( jQuery.lastModified[ cacheURL ] ) {
+				jqXHR.setRequestHeader( "If-Modified-Since", jQuery.lastModified[ cacheURL ] );
+			}
+			if ( jQuery.etag[ cacheURL ] ) {
+				jqXHR.setRequestHeader( "If-None-Match", jQuery.etag[ cacheURL ] );
+			}
+		}
+
+		// Set the correct header, if data is being sent
+		if ( s.data && s.hasContent && s.contentType !== false || options.contentType ) {
+			jqXHR.setRequestHeader( "Content-Type", s.contentType );
+		}
+
+		// Set the Accepts header for the server, depending on the dataType
+		jqXHR.setRequestHeader(
+			"Accept",
+			s.dataTypes[ 0 ] && s.accepts[ s.dataTypes[ 0 ] ] ?
+				s.accepts[ s.dataTypes[ 0 ] ] +
+					( s.dataTypes[ 0 ] !== "*" ? ", " + allTypes + "; q=0.01" : "" ) :
+				s.accepts[ "*" ]
+		);
+
+		// Check for headers option
+		for ( i in s.headers ) {
+			jqXHR.setRequestHeader( i, s.headers[ i ] );
+		}
+
+		// Allow custom headers/mimetypes and early abort
+		if ( s.beforeSend &&
+			( s.beforeSend.call( callbackContext, jqXHR, s ) === false || completed ) ) {
+
+			// Abort if not done already and return
+			return jqXHR.abort();
+		}
+
+		// Aborting is no longer a cancellation
+		strAbort = "abort";
+
+		// Install callbacks on deferreds
+		completeDeferred.add( s.complete );
+		jqXHR.done( s.success );
+		jqXHR.fail( s.error );
+
+		// Get transport
+		transport = inspectPrefiltersOrTransports( transports, s, options, jqXHR );
+
+		// If no transport, we auto-abort
+		if ( !transport ) {
+			done( -1, "No Transport" );
+		} else {
+			jqXHR.readyState = 1;
+
+			// Send global event
+			if ( fireGlobals ) {
+				globalEventContext.trigger( "ajaxSend", [ jqXHR, s ] );
+			}
+
+			// If request was aborted inside ajaxSend, stop there
+			if ( completed ) {
+				return jqXHR;
+			}
+
+			// Timeout
+			if ( s.async && s.timeout > 0 ) {
+				timeoutTimer = window.setTimeout( function() {
+					jqXHR.abort( "timeout" );
+				}, s.timeout );
+			}
+
+			try {
+				completed = false;
+				transport.send( requestHeaders, done );
+			} catch ( e ) {
+
+				// Rethrow post-completion exceptions
+				if ( completed ) {
+					throw e;
+				}
+
+				// Propagate others as results
+				done( -1, e );
+			}
+		}
+
+		// Callback for when everything is done
+		function done( status, nativeStatusText, responses, headers ) {
+			var isSuccess, success, error, response, modified,
+				statusText = nativeStatusText;
+
+			// Ignore repeat invocations
+			if ( completed ) {
+				return;
+			}
+
+			completed = true;
+
+			// Clear timeout if it exists
+			if ( timeoutTimer ) {
+				window.clearTimeout( timeoutTimer );
+			}
+
+			// Dereference transport for early garbage collection
+			// (no matter how long the jqXHR object will be used)
+			transport = undefined;
+
+			// Cache response headers
+			responseHeadersString = headers || "";
+
+			// Set readyState
+			jqXHR.readyState = status > 0 ? 4 : 0;
+
+			// Determine if successful
+			isSuccess = status >= 200 && status < 300 || status === 304;
+
+			// Get response data
+			if ( responses ) {
+				response = ajaxHandleResponses( s, jqXHR, responses );
+			}
+
+			// Use a noop converter for missing script
+			if ( !isSuccess && jQuery.inArray( "script", s.dataTypes ) > -1 ) {
+				s.converters[ "text script" ] = function() {};
+			}
+
+			// Convert no matter what (that way responseXXX fields are always set)
+			response = ajaxConvert( s, response, jqXHR, isSuccess );
+
+			// If successful, handle type chaining
+			if ( isSuccess ) {
+
+				// Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
+				if ( s.ifModified ) {
+					modified = jqXHR.getResponseHeader( "Last-Modified" );
+					if ( modified ) {
+						jQuery.lastModified[ cacheURL ] = modified;
+					}
+					modified = jqXHR.getResponseHeader( "etag" );
+					if ( modified ) {
+						jQuery.etag[ cacheURL ] = modified;
+					}
+				}
+
+				// if no content
+				if ( status === 204 || s.type === "HEAD" ) {
+					statusText = "nocontent";
+
+				// if not modified
+				} else if ( status === 304 ) {
+					statusText = "notmodified";
+
+				// If we have data, let's convert it
+				} else {
+					statusText = response.state;
+					success = response.data;
+					error = response.error;
+					isSuccess = !error;
+				}
+			} else {
+
+				// Extract error from statusText and normalize for non-aborts
+				error = statusText;
+				if ( status || !statusText ) {
+					statusText = "error";
+					if ( status < 0 ) {
+						status = 0;
+					}
+				}
+			}
+
+			// Set data for the fake xhr object
+			jqXHR.status = status;
+			jqXHR.statusText = ( nativeStatusText || statusText ) + "";
+
+			// Success/Error
+			if ( isSuccess ) {
+				deferred.resolveWith( callbackContext, [ success, statusText, jqXHR ] );
+			} else {
+				deferred.rejectWith( callbackContext, [ jqXHR, statusText, error ] );
+			}
+
+			// Status-dependent callbacks
+			jqXHR.statusCode( statusCode );
+			statusCode = undefined;
+
+			if ( fireGlobals ) {
+				globalEventContext.trigger( isSuccess ? "ajaxSuccess" : "ajaxError",
+					[ jqXHR, s, isSuccess ? success : error ] );
+			}
+
+			// Complete
+			completeDeferred.fireWith( callbackContext, [ jqXHR, statusText ] );
+
+			if ( fireGlobals ) {
+				globalEventContext.trigger( "ajaxComplete", [ jqXHR, s ] );
+
+				// Handle the global AJAX counter
+				if ( !( --jQuery.active ) ) {
+					jQuery.event.trigger( "ajaxStop" );
+				}
+			}
+		}
+
+		return jqXHR;
+	},
+
+	getJSON: function( url, data, callback ) {
+		return jQuery.get( url, data, callback, "json" );
+	},
+
+	getScript: function( url, callback ) {
+		return jQuery.get( url, undefined, callback, "script" );
+	}
+} );
+
+jQuery.each( [ "get", "post" ], function( _i, method ) {
+	jQuery[ method ] = function( url, data, callback, type ) {
+
+		// Shift arguments if data argument was omitted
+		if ( isFunction( data ) ) {
+			type = type || callback;
+			callback = data;
+			data = undefined;
+		}
+
+		// The url can be an options object (which then must have .url)
+		return jQuery.ajax( jQuery.extend( {
+			url: url,
+			type: method,
+			dataType: type,
+			data: data,
+			success: callback
+		}, jQuery.isPlainObject( url ) && url ) );
+	};
+} );
+
+jQuery.ajaxPrefilter( function( s ) {
+	var i;
+	for ( i in s.headers ) {
+		if ( i.toLowerCase() === "content-type" ) {
+			s.contentType = s.headers[ i ] || "";
+		}
+	}
+} );
+
+
+jQuery._evalUrl = function( url, options, doc ) {
+	return jQuery.ajax( {
+		url: url,
+
+		// Make this explicit, since user can override this through ajaxSetup (#11264)
+		type: "GET",
+		dataType: "script",
+		cache: true,
+		async: false,
+		global: false,
+
+		// Only evaluate the response if it is successful (gh-4126)
+		// dataFilter is not invoked for failure responses, so using it instead
+		// of the default converter is kludgy but it works.
+		converters: {
+			"text script": function() {}
+		},
+		dataFilter: function( response ) {
+			jQuery.globalEval( response, options, doc );
+		}
+	} );
+};
+
+
+jQuery.fn.extend( {
+	wrapAll: function( html ) {
+		var wrap;
+
+		if ( this[ 0 ] ) {
+			if ( isFunction( html ) ) {
+				html = html.call( this[ 0 ] );
+			}
+
+			// The elements to wrap the target around
+			wrap = jQuery( html, this[ 0 ].ownerDocument ).eq( 0 ).clone( true );
+
+			if ( this[ 0 ].parentNode ) {
+				wrap.insertBefore( this[ 0 ] );
+			}
+
+			wrap.map( function() {
+				var elem = this;
+
+				while ( elem.firstElementChild ) {
+					elem = elem.firstElementChild;
+				}
+
+				return elem;
+			} ).append( this );
+		}
+
+		return this;
+	},
+
+	wrapInner: function( html ) {
+		if ( isFunction( html ) ) {
+			return this.each( function( i ) {
+				jQuery( this ).wrapInner( html.call( this, i ) );
+			} );
+		}
+
+		return this.each( function() {
+			var self = jQuery( this ),
+				contents = self.contents();
+
+			if ( contents.length ) {
+				contents.wrapAll( html );
+
+			} else {
+				self.append( html );
+			}
+		} );
+	},
+
+	wrap: function( html ) {
+		var htmlIsFunction = isFunction( html );
+
+		return this.each( function( i ) {
+			jQuery( this ).wrapAll( htmlIsFunction ? html.call( this, i ) : html );
+		} );
+	},
+
+	unwrap: function( selector ) {
+		this.parent( selector ).not( "body" ).each( function() {
+			jQuery( this ).replaceWith( this.childNodes );
+		} );
+		return this;
+	}
+} );
+
+
+jQuery.expr.pseudos.hidden = function( elem ) {
+	return !jQuery.expr.pseudos.visible( elem );
+};
+jQuery.expr.pseudos.visible = function( elem ) {
+	return !!( elem.offsetWidth || elem.offsetHeight || elem.getClientRects().length );
+};
+
+
+
+
+jQuery.ajaxSettings.xhr = function() {
+	try {
+		return new window.XMLHttpRequest();
+	} catch ( e ) {}
+};
+
+var xhrSuccessStatus = {
+
+		// File protocol always yields status code 0, assume 200
+		0: 200,
+
+		// Support: IE <=9 only
+		// #1450: sometimes IE returns 1223 when it should be 204
+		1223: 204
+	},
+	xhrSupported = jQuery.ajaxSettings.xhr();
+
+support.cors = !!xhrSupported && ( "withCredentials" in xhrSupported );
+support.ajax = xhrSupported = !!xhrSupported;
+
+jQuery.ajaxTransport( function( options ) {
+	var callback, errorCallback;
+
+	// Cross domain only allowed if supported through XMLHttpRequest
+	if ( support.cors || xhrSupported && !options.crossDomain ) {
+		return {
+			send: function( headers, complete ) {
+				var i,
+					xhr = options.xhr();
+
+				xhr.open(
+					options.type,
+					options.url,
+					options.async,
+					options.username,
+					options.password
+				);
+
+				// Apply custom fields if provided
+				if ( options.xhrFields ) {
+					for ( i in options.xhrFields ) {
+						xhr[ i ] = options.xhrFields[ i ];
+					}
+				}
+
+				// Override mime type if needed
+				if ( options.mimeType && xhr.overrideMimeType ) {
+					xhr.overrideMimeType( options.mimeType );
+				}
+
+				// X-Requested-With header
+				// For cross-domain requests, seeing as conditions for a preflight are
+				// akin to a jigsaw puzzle, we simply never set it to be sure.
+				// (it can always be set on a per-request basis or even using ajaxSetup)
+				// For same-domain requests, won't change header if already provided.
+				if ( !options.crossDomain && !headers[ "X-Requested-With" ] ) {
+					headers[ "X-Requested-With" ] = "XMLHttpRequest";
+				}
+
+				// Set headers
+				for ( i in headers ) {
+					xhr.setRequestHeader( i, headers[ i ] );
+				}
+
+				// Callback
+				callback = function( type ) {
+					return function() {
+						if ( callback ) {
+							callback = errorCallback = xhr.onload =
+								xhr.onerror = xhr.onabort = xhr.ontimeout =
+									xhr.onreadystatechange = null;
+
+							if ( type === "abort" ) {
+								xhr.abort();
+							} else if ( type === "error" ) {
+
+								// Support: IE <=9 only
+								// On a manual native abort, IE9 throws
+								// errors on any property access that is not readyState
+								if ( typeof xhr.status !== "number" ) {
+									complete( 0, "error" );
+								} else {
+									complete(
+
+										// File: protocol always yields status 0; see #8605, #14207
+										xhr.status,
+										xhr.statusText
+									);
+								}
+							} else {
+								complete(
+									xhrSuccessStatus[ xhr.status ] || xhr.status,
+									xhr.statusText,
+
+									// Support: IE <=9 only
+									// IE9 has no XHR2 but throws on binary (trac-11426)
+									// For XHR2 non-text, let the caller handle it (gh-2498)
+									( xhr.responseType || "text" ) !== "text"  ||
+									typeof xhr.responseText !== "string" ?
+										{ binary: xhr.response } :
+										{ text: xhr.responseText },
+									xhr.getAllResponseHeaders()
+								);
+							}
+						}
+					};
+				};
+
+				// Listen to events
+				xhr.onload = callback();
+				errorCallback = xhr.onerror = xhr.ontimeout = callback( "error" );
+
+				// Support: IE 9 only
+				// Use onreadystatechange to replace onabort
+				// to handle uncaught aborts
+				if ( xhr.onabort !== undefined ) {
+					xhr.onabort = errorCallback;
+				} else {
+					xhr.onreadystatechange = function() {
+
+						// Check readyState before timeout as it changes
+						if ( xhr.readyState === 4 ) {
+
+							// Allow onerror to be called first,
+							// but that will not handle a native abort
+							// Also, save errorCallback to a variable
+							// as xhr.onerror cannot be accessed
+							window.setTimeout( function() {
+								if ( callback ) {
+									errorCallback();
+								}
+							} );
+						}
+					};
+				}
+
+				// Create the abort callback
+				callback = callback( "abort" );
+
+				try {
+
+					// Do send the request (this may raise an exception)
+					xhr.send( options.hasContent && options.data || null );
+				} catch ( e ) {
+
+					// #14683: Only rethrow if this hasn't been notified as an error yet
+					if ( callback ) {
+						throw e;
+					}
+				}
+			},
+
+			abort: function() {
+				if ( callback ) {
+					callback();
+				}
+			}
+		};
+	}
+} );
+
+
+
+
+// Prevent auto-execution of scripts when no explicit dataType was provided (See gh-2432)
+jQuery.ajaxPrefilter( function( s ) {
+	if ( s.crossDomain ) {
+		s.contents.script = false;
+	}
+} );
+
+// Install script dataType
+jQuery.ajaxSetup( {
+	accepts: {
+		script: "text/javascript, application/javascript, " +
+			"application/ecmascript, application/x-ecmascript"
+	},
+	contents: {
+		script: /\b(?:java|ecma)script\b/
+	},
+	converters: {
+		"text script": function( text ) {
+			jQuery.globalEval( text );
+			return text;
+		}
+	}
+} );
+
+// Handle cache's special case and crossDomain
+jQuery.ajaxPrefilter( "script", function( s ) {
+	if ( s.cache === undefined ) {
+		s.cache = false;
+	}
+	if ( s.crossDomain ) {
+		s.type = "GET";
+	}
+} );
+
+// Bind script tag hack transport
+jQuery.ajaxTransport( "script", function( s ) {
+
+	// This transport only deals with cross domain or forced-by-attrs requests
+	if ( s.crossDomain || s.scriptAttrs ) {
+		var script, callback;
+		return {
+			send: function( _, complete ) {
+				script = jQuery( "<script>" )
+					.attr( s.scriptAttrs || {} )
+					.prop( { charset: s.scriptCharset, src: s.url } )
+					.on( "load error", callback = function( evt ) {
+						script.remove();
+						callback = null;
+						if ( evt ) {
+							complete( evt.type === "error" ? 404 : 200, evt.type );
+						}
+					} );
+
+				// Use native DOM manipulation to avoid our domManip AJAX trickery
+				document.head.appendChild( script[ 0 ] );
+			},
+			abort: function() {
+				if ( callback ) {
+					callback();
+				}
+			}
+		};
+	}
+} );
+
+
+
+
+var oldCallbacks = [],
+	rjsonp = /(=)\?(?=&|$)|\?\?/;
+
+// Default jsonp settings
+jQuery.ajaxSetup( {
+	jsonp: "callback",
+	jsonpCallback: function() {
+		var callback = oldCallbacks.pop() || ( jQuery.expando + "_" + ( nonce.guid++ ) );
+		this[ callback ] = true;
+		return callback;
+	}
+} );
+
+// Detect, normalize options and install callbacks for jsonp requests
+jQuery.ajaxPrefilter( "json jsonp", function( s, originalSettings, jqXHR ) {
+
+	var callbackName, overwritten, responseContainer,
+		jsonProp = s.jsonp !== false && ( rjsonp.test( s.url ) ?
+			"url" :
+			typeof s.data === "string" &&
+				( s.contentType || "" )
+					.indexOf( "application/x-www-form-urlencoded" ) === 0 &&
+				rjsonp.test( s.data ) && "data"
+		);
+
+	// Handle iff the expected data type is "jsonp" or we have a parameter to set
+	if ( jsonProp || s.dataTypes[ 0 ] === "jsonp" ) {
+
+		// Get callback name, remembering preexisting value associated with it
+		callbackName = s.jsonpCallback = isFunction( s.jsonpCallback ) ?
+			s.jsonpCallback() :
+			s.jsonpCallback;
+
+		// Insert callback into url or form data
+		if ( jsonProp ) {
+			s[ jsonProp ] = s[ jsonProp ].replace( rjsonp, "$1" + callbackName );
+		} else if ( s.jsonp !== false ) {
+			s.url += ( rquery.test( s.url ) ? "&" : "?" ) + s.jsonp + "=" + callbackName;
+		}
+
+		// Use data converter to retrieve json after script execution
+		s.converters[ "script json" ] = function() {
+			if ( !responseContainer ) {
+				jQuery.error( callbackName + " was not called" );
+			}
+			return responseContainer[ 0 ];
+		};
+
+		// Force json dataType
+		s.dataTypes[ 0 ] = "json";
+
+		// Install callback
+		overwritten = window[ callbackName ];
+		window[ callbackName ] = function() {
+			responseContainer = arguments;
+		};
+
+		// Clean-up function (fires after converters)
+		jqXHR.always( function() {
+
+			// If previous value didn't exist - remove it
+			if ( overwritten === undefined ) {
+				jQuery( window ).removeProp( callbackName );
+
+			// Otherwise restore preexisting value
+			} else {
+				window[ callbackName ] = overwritten;
+			}
+
+			// Save back as free
+			if ( s[ callbackName ] ) {
+
+				// Make sure that re-using the options doesn't screw things around
+				s.jsonpCallback = originalSettings.jsonpCallback;
+
+				// Save the callback name for future use
+				oldCallbacks.push( callbackName );
+			}
+
+			// Call if it was a function and we have a response
+			if ( responseContainer && isFunction( overwritten ) ) {
+				overwritten( responseContainer[ 0 ] );
+			}
+
+			responseContainer = overwritten = undefined;
+		} );
+
+		// Delegate to script
+		return "script";
+	}
+} );
+
+
+
+
+// Support: Safari 8 only
+// In Safari 8 documents created via document.implementation.createHTMLDocument
+// collapse sibling forms: the second one becomes a child of the first one.
+// Because of that, this security measure has to be disabled in Safari 8.
+// https://bugs.webkit.org/show_bug.cgi?id=137337
+support.createHTMLDocument = ( function() {
+	var body = document.implementation.createHTMLDocument( "" ).body;
+	body.innerHTML = "<form></form><form></form>";
+	return body.childNodes.length === 2;
+} )();
+
+
+// Argument "data" should be string of html
+// context (optional): If specified, the fragment will be created in this context,
+// defaults to document
+// keepScripts (optional): If true, will include scripts passed in the html string
+jQuery.parseHTML = function( data, context, keepScripts ) {
+	if ( typeof data !== "string" ) {
+		return [];
+	}
+	if ( typeof context === "boolean" ) {
+		keepScripts = context;
+		context = false;
+	}
+
+	var base, parsed, scripts;
+
+	if ( !context ) {
+
+		// Stop scripts or inline event handlers from being executed immediately
+		// by using document.implementation
+		if ( support.createHTMLDocument ) {
+			context = document.implementation.createHTMLDocument( "" );
+
+			// Set the base href for the created document
+			// so any parsed elements with URLs
+			// are based on the document's URL (gh-2965)
+			base = context.createElement( "base" );
+			base.href = document.location.href;
+			context.head.appendChild( base );
+		} else {
+			context = document;
+		}
+	}
+
+	parsed = rsingleTag.exec( data );
+	scripts = !keepScripts && [];
+
+	// Single tag
+	if ( parsed ) {
+		return [ context.createElement( parsed[ 1 ] ) ];
+	}
+
+	parsed = buildFragment( [ data ], context, scripts );
+
+	if ( scripts && scripts.length ) {
+		jQuery( scripts ).remove();
+	}
+
+	return jQuery.merge( [], parsed.childNodes );
+};
+
+
+/**
+ * Load a url into a page
+ */
+jQuery.fn.load = function( url, params, callback ) {
+	var selector, type, response,
+		self = this,
+		off = url.indexOf( " " );
+
+	if ( off > -1 ) {
+		selector = stripAndCollapse( url.slice( off ) );
+		url = url.slice( 0, off );
+	}
+
+	// If it's a function
+	if ( isFunction( params ) ) {
+
+		// We assume that it's the callback
+		callback = params;
+		params = undefined;
+
+	// Otherwise, build a param string
+	} else if ( params && typeof params === "object" ) {
+		type = "POST";
+	}
+
+	// If we have elements to modify, make the request
+	if ( self.length > 0 ) {
+		jQuery.ajax( {
+			url: url,
+
+			// If "type" variable is undefined, then "GET" method will be used.
+			// Make value of this field explicit since
+			// user can override it through ajaxSetup method
+			type: type || "GET",
+			dataType: "html",
+			data: params
+		} ).done( function( responseText ) {
+
+			// Save response for use in complete callback
+			response = arguments;
+
+			self.html( selector ?
+
+				// If a selector was specified, locate the right elements in a dummy div
+				// Exclude scripts to avoid IE 'Permission Denied' errors
+				jQuery( "<div>" ).append( jQuery.parseHTML( responseText ) ).find( selector ) :
+
+				// Otherwise use the full result
+				responseText );
+
+		// If the request succeeds, this function gets "data", "status", "jqXHR"
+		// but they are ignored because response was set above.
+		// If it fails, this function gets "jqXHR", "status", "error"
+		} ).always( callback && function( jqXHR, status ) {
+			self.each( function() {
+				callback.apply( this, response || [ jqXHR.responseText, status, jqXHR ] );
+			} );
+		} );
+	}
+
+	return this;
+};
+
+
+
+
+jQuery.expr.pseudos.animated = function( elem ) {
+	return jQuery.grep( jQuery.timers, function( fn ) {
+		return elem === fn.elem;
+	} ).length;
+};
+
+
+
+
+jQuery.offset = {
+	setOffset: function( elem, options, i ) {
+		var curPosition, curLeft, curCSSTop, curTop, curOffset, curCSSLeft, calculatePosition,
+			position = jQuery.css( elem, "position" ),
+			curElem = jQuery( elem ),
+			props = {};
+
+		// Set position first, in-case top/left are set even on static elem
+		if ( position === "static" ) {
+			elem.style.position = "relative";
+		}
+
+		curOffset = curElem.offset();
+		curCSSTop = jQuery.css( elem, "top" );
+		curCSSLeft = jQuery.css( elem, "left" );
+		calculatePosition = ( position === "absolute" || position === "fixed" ) &&
+			( curCSSTop + curCSSLeft ).indexOf( "auto" ) > -1;
+
+		// Need to be able to calculate position if either
+		// top or left is auto and position is either absolute or fixed
+		if ( calculatePosition ) {
+			curPosition = curElem.position();
+			curTop = curPosition.top;
+			curLeft = curPosition.left;
+
+		} else {
+			curTop = parseFloat( curCSSTop ) || 0;
+			curLeft = parseFloat( curCSSLeft ) || 0;
+		}
+
+		if ( isFunction( options ) ) {
+
+			// Use jQuery.extend here to allow modification of coordinates argument (gh-1848)
+			options = options.call( elem, i, jQuery.extend( {}, curOffset ) );
+		}
+
+		if ( options.top != null ) {
+			props.top = ( options.top - curOffset.top ) + curTop;
+		}
+		if ( options.left != null ) {
+			props.left = ( options.left - curOffset.left ) + curLeft;
+		}
+
+		if ( "using" in options ) {
+			options.using.call( elem, props );
+
+		} else {
+			if ( typeof props.top === "number" ) {
+				props.top += "px";
+			}
+			if ( typeof props.left === "number" ) {
+				props.left += "px";
+			}
+			curElem.css( props );
+		}
+	}
+};
+
+jQuery.fn.extend( {
+
+	// offset() relates an element's border box to the document origin
+	offset: function( options ) {
+
+		// Preserve chaining for setter
+		if ( arguments.length ) {
+			return options === undefined ?
+				this :
+				this.each( function( i ) {
+					jQuery.offset.setOffset( this, options, i );
+				} );
+		}
+
+		var rect, win,
+			elem = this[ 0 ];
+
+		if ( !elem ) {
+			return;
+		}
+
+		// Return zeros for disconnected and hidden (display: none) elements (gh-2310)
+		// Support: IE <=11 only
+		// Running getBoundingClientRect on a
+		// disconnected node in IE throws an error
+		if ( !elem.getClientRects().length ) {
+			return { top: 0, left: 0 };
+		}
+
+		// Get document-relative position by adding viewport scroll to viewport-relative gBCR
+		rect = elem.getBoundingClientRect();
+		win = elem.ownerDocument.defaultView;
+		return {
+			top: rect.top + win.pageYOffset,
+			left: rect.left + win.pageXOffset
+		};
+	},
+
+	// position() relates an element's margin box to its offset parent's padding box
+	// This corresponds to the behavior of CSS absolute positioning
+	position: function() {
+		if ( !this[ 0 ] ) {
+			return;
+		}
+
+		var offsetParent, offset, doc,
+			elem = this[ 0 ],
+			parentOffset = { top: 0, left: 0 };
+
+		// position:fixed elements are offset from the viewport, which itself always has zero offset
+		if ( jQuery.css( elem, "position" ) === "fixed" ) {
+
+			// Assume position:fixed implies availability of getBoundingClientRect
+			offset = elem.getBoundingClientRect();
+
+		} else {
+			offset = this.offset();
+
+			// Account for the *real* offset parent, which can be the document or its root element
+			// when a statically positioned element is identified
+			doc = elem.ownerDocument;
+			offsetParent = elem.offsetParent || doc.documentElement;
+			while ( offsetParent &&
+				( offsetParent === doc.body || offsetParent === doc.documentElement ) &&
+				jQuery.css( offsetParent, "position" ) === "static" ) {
+
+				offsetParent = offsetParent.parentNode;
+			}
+			if ( offsetParent && offsetParent !== elem && offsetParent.nodeType === 1 ) {
+
+				// Incorporate borders into its offset, since they are outside its content origin
+				parentOffset = jQuery( offsetParent ).offset();
+				parentOffset.top += jQuery.css( offsetParent, "borderTopWidth", true );
+				parentOffset.left += jQuery.css( offsetParent, "borderLeftWidth", true );
+			}
+		}
+
+		// Subtract parent offsets and element margins
+		return {
+			top: offset.top - parentOffset.top - jQuery.css( elem, "marginTop", true ),
+			left: offset.left - parentOffset.left - jQuery.css( elem, "marginLeft", true )
+		};
+	},
+
+	// This method will return documentElement in the following cases:
+	// 1) For the element inside the iframe without offsetParent, this method will return
+	//    documentElement of the parent window
+	// 2) For the hidden or detached element
+	// 3) For body or html element, i.e. in case of the html node - it will return itself
+	//
+	// but those exceptions were never presented as a real life use-cases
+	// and might be considered as more preferable results.
+	//
+	// This logic, however, is not guaranteed and can change at any point in the future
+	offsetParent: function() {
+		return this.map( function() {
+			var offsetParent = this.offsetParent;
+
+			while ( offsetParent && jQuery.css( offsetParent, "position" ) === "static" ) {
+				offsetParent = offsetParent.offsetParent;
+			}
+
+			return offsetParent || documentElement;
+		} );
+	}
+} );
+
+// Create scrollLeft and scrollTop methods
+jQuery.each( { scrollLeft: "pageXOffset", scrollTop: "pageYOffset" }, function( method, prop ) {
+	var top = "pageYOffset" === prop;
+
+	jQuery.fn[ method ] = function( val ) {
+		return access( this, function( elem, method, val ) {
+
+			// Coalesce documents and windows
+			var win;
+			if ( isWindow( elem ) ) {
+				win = elem;
+			} else if ( elem.nodeType === 9 ) {
+				win = elem.defaultView;
+			}
+
+			if ( val === undefined ) {
+				return win ? win[ prop ] : elem[ method ];
+			}
+
+			if ( win ) {
+				win.scrollTo(
+					!top ? val : win.pageXOffset,
+					top ? val : win.pageYOffset
+				);
+
+			} else {
+				elem[ method ] = val;
+			}
+		}, method, val, arguments.length );
+	};
+} );
+
+// Support: Safari <=7 - 9.1, Chrome <=37 - 49
+// Add the top/left cssHooks using jQuery.fn.position
+// Webkit bug: https://bugs.webkit.org/show_bug.cgi?id=29084
+// Blink bug: https://bugs.chromium.org/p/chromium/issues/detail?id=589347
+// getComputedStyle returns percent when specified for top/left/bottom/right;
+// rather than make the css module depend on the offset module, just check for it here
+jQuery.each( [ "top", "left" ], function( _i, prop ) {
+	jQuery.cssHooks[ prop ] = addGetHookIf( support.pixelPosition,
+		function( elem, computed ) {
+			if ( computed ) {
+				computed = curCSS( elem, prop );
+
+				// If curCSS returns percentage, fallback to offset
+				return rnumnonpx.test( computed ) ?
+					jQuery( elem ).position()[ prop ] + "px" :
+					computed;
+			}
+		}
+	);
+} );
+
+
+// Create innerHeight, innerWidth, height, width, outerHeight and outerWidth methods
+jQuery.each( { Height: "height", Width: "width" }, function( name, type ) {
+	jQuery.each( { padding: "inner" + name, content: type, "": "outer" + name },
+		function( defaultExtra, funcName ) {
+
+		// Margin is only for outerHeight, outerWidth
+		jQuery.fn[ funcName ] = function( margin, value ) {
+			var chainable = arguments.length && ( defaultExtra || typeof margin !== "boolean" ),
+				extra = defaultExtra || ( margin === true || value === true ? "margin" : "border" );
+
+			return access( this, function( elem, type, value ) {
+				var doc;
+
+				if ( isWindow( elem ) ) {
+
+					// $( window ).outerWidth/Height return w/h including scrollbars (gh-1729)
+					return funcName.indexOf( "outer" ) === 0 ?
+						elem[ "inner" + name ] :
+						elem.document.documentElement[ "client" + name ];
+				}
+
+				// Get document width or height
+				if ( elem.nodeType === 9 ) {
+					doc = elem.documentElement;
+
+					// Either scroll[Width/Height] or offset[Width/Height] or client[Width/Height],
+					// whichever is greatest
+					return Math.max(
+						elem.body[ "scroll" + name ], doc[ "scroll" + name ],
+						elem.body[ "offset" + name ], doc[ "offset" + name ],
+						doc[ "client" + name ]
+					);
+				}
+
+				return value === undefined ?
+
+					// Get width or height on the element, requesting but not forcing parseFloat
+					jQuery.css( elem, type, extra ) :
+
+					// Set width or height on the element
+					jQuery.style( elem, type, value, extra );
+			}, type, chainable ? margin : undefined, chainable );
+		};
+	} );
+} );
+
+
+jQuery.each( [
+	"ajaxStart",
+	"ajaxStop",
+	"ajaxComplete",
+	"ajaxError",
+	"ajaxSuccess",
+	"ajaxSend"
+], function( _i, type ) {
+	jQuery.fn[ type ] = function( fn ) {
+		return this.on( type, fn );
+	};
+} );
+
+
+
+
+jQuery.fn.extend( {
+
+	bind: function( types, data, fn ) {
+		return this.on( types, null, data, fn );
+	},
+	unbind: function( types, fn ) {
+		return this.off( types, null, fn );
+	},
+
+	delegate: function( selector, types, data, fn ) {
+		return this.on( types, selector, data, fn );
+	},
+	undelegate: function( selector, types, fn ) {
+
+		// ( namespace ) or ( selector, types [, fn] )
+		return arguments.length === 1 ?
+			this.off( selector, "**" ) :
+			this.off( types, selector || "**", fn );
+	},
+
+	hover: function( fnOver, fnOut ) {
+		return this.mouseenter( fnOver ).mouseleave( fnOut || fnOver );
+	}
+} );
+
+jQuery.each( ( "blur focus focusin focusout resize scroll click dblclick " +
+	"mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave " +
+	"change select submit keydown keypress keyup contextmenu" ).split( " " ),
+	function( _i, name ) {
+
+		// Handle event binding
+		jQuery.fn[ name ] = function( data, fn ) {
+			return arguments.length > 0 ?
+				this.on( name, null, data, fn ) :
+				this.trigger( name );
+		};
+	} );
+
+
+
+
+// Support: Android <=4.0 only
+// Make sure we trim BOM and NBSP
+var rtrim = /^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;
+
+// Bind a function to a context, optionally partially applying any
+// arguments.
+// jQuery.proxy is deprecated to promote standards (specifically Function#bind)
+// However, it is not slated for removal any time soon
+jQuery.proxy = function( fn, context ) {
+	var tmp, args, proxy;
+
+	if ( typeof context === "string" ) {
+		tmp = fn[ context ];
+		context = fn;
+		fn = tmp;
+	}
+
+	// Quick check to determine if target is callable, in the spec
+	// this throws a TypeError, but we will just return undefined.
+	if ( !isFunction( fn ) ) {
+		return undefined;
+	}
+
+	// Simulated bind
+	args = slice.call( arguments, 2 );
+	proxy = function() {
+		return fn.apply( context || this, args.concat( slice.call( arguments ) ) );
+	};
+
+	// Set the guid of unique handler to the same of original handler, so it can be removed
+	proxy.guid = fn.guid = fn.guid || jQuery.guid++;
+
+	return proxy;
+};
+
+jQuery.holdReady = function( hold ) {
+	if ( hold ) {
+		jQuery.readyWait++;
+	} else {
+		jQuery.ready( true );
+	}
+};
+jQuery.isArray = Array.isArray;
+jQuery.parseJSON = JSON.parse;
+jQuery.nodeName = nodeName;
+jQuery.isFunction = isFunction;
+jQuery.isWindow = isWindow;
+jQuery.camelCase = camelCase;
+jQuery.type = toType;
+
+jQuery.now = Date.now;
+
+jQuery.isNumeric = function( obj ) {
+
+	// As of jQuery 3.0, isNumeric is limited to
+	// strings and numbers (primitives or objects)
+	// that can be coerced to finite numbers (gh-2662)
+	var type = jQuery.type( obj );
+	return ( type === "number" || type === "string" ) &&
+
+		// parseFloat NaNs numeric-cast false positives ("")
+		// ...but misinterprets leading-number strings, particularly hex literals ("0x...")
+		// subtraction forces infinities to NaN
+		!isNaN( obj - parseFloat( obj ) );
+};
+
+jQuery.trim = function( text ) {
+	return text == null ?
+		"" :
+		( text + "" ).replace( rtrim, "" );
+};
+
+
+
+// Register as a named AMD module, since jQuery can be concatenated with other
+// files that may use define, but not via a proper concatenation script that
+// understands anonymous AMD modules. A named AMD is safest and most robust
+// way to register. Lowercase jquery is used because AMD module names are
+// derived from file names, and jQuery is normally delivered in a lowercase
+// file name. Do this after creating the global so that if an AMD module wants
+// to call noConflict to hide this version of jQuery, it will work.
+
+// Note that for maximum portability, libraries that are not jQuery should
+// declare themselves as anonymous modules, and avoid setting a global if an
+// AMD loader is present. jQuery is a special case. For more information, see
+// https://github.com/jrburke/requirejs/wiki/Updating-existing-libraries#wiki-anon
+
+if ( typeof define === "function" && define.amd ) {
+	define( "jquery", [], function() {
+		return jQuery;
+	} );
+}
+
+
+
+
+var
+
+	// Map over jQuery in case of overwrite
+	_jQuery = window.jQuery,
+
+	// Map over the $ in case of overwrite
+	_$ = window.$;
+
+jQuery.noConflict = function( deep ) {
+	if ( window.$ === jQuery ) {
+		window.$ = _$;
+	}
+
+	if ( deep && window.jQuery === jQuery ) {
+		window.jQuery = _jQuery;
+	}
+
+	return jQuery;
+};
+
+// Expose jQuery and $ identifiers, even in AMD
+// (#7102#comment:10, https://github.com/jquery/jquery/pull/557)
+// and CommonJS for browser emulators (#13566)
+if ( typeof noGlobal === "undefined" ) {
+	window.jQuery = window.$ = jQuery;
+}
+
+
+
+
+return jQuery;
+} );
diff --git a/_preview/40/_static/jquery.js b/_preview/40/_static/jquery.js
new file mode 100644
index 0000000..b061403
--- /dev/null
+++ b/_preview/40/_static/jquery.js
@@ -0,0 +1,2 @@
+/*! jQuery v3.5.1 | (c) JS Foundation and other contributors | jquery.org/license */
+!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(C,e){"use strict";var t=[],r=Object.getPrototypeOf,s=t.slice,g=t.flat?function(e){return t.flat.call(e)}:function(e){return t.concat.apply([],e)},u=t.push,i=t.indexOf,n={},o=n.toString,v=n.hasOwnProperty,a=v.toString,l=a.call(Object),y={},m=function(e){return"function"==typeof e&&"number"!=typeof e.nodeType},x=function(e){return null!=e&&e===e.window},E=C.document,c={type:!0,src:!0,nonce:!0,noModule:!0};function b(e,t,n){var r,i,o=(n=n||E).createElement("script");if(o.text=e,t)for(r in c)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function w(e){return null==e?e+"":"object"==typeof e||"function"==typeof e?n[o.call(e)]||"object":typeof e}var 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new file mode 100644
index 0000000..b71f7fc
--- /dev/null
+++ b/_preview/40/_static/js/index.be7d3bbb2ef33a8344ce.js
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+/**!
+ * @fileOverview Kickass library to create and place poppers near their reference elements.
+ * @version 1.16.1
+ * @license
+ * Copyright (c) 2016 Federico Zivolo and contributors
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to deal
+ * in the Software without restriction, including without limitation the rights
+ * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+ * copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
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n=e(this),i=c.getSelectorFromElement(this),o=[].slice.call(document.querySelectorAll(i));e(o).each((function(){var t=e(this),i=t.data("bs.collapse")?"toggle":n.data();D._jQueryInterface.call(t,i)}))})),e.fn[E]=D._jQueryInterface,e.fn[E].Constructor=D,e.fn[E].noConflict=function(){return e.fn[E]=T,D._jQueryInterface};var N="dropdown",k=e.fn[N],O=new RegExp("38|40|27"),A={offset:0,flip:!0,boundary:"scrollParent",reference:"toggle",display:"dynamic",popperConfig:null},I={offset:"(number|string|function)",flip:"boolean",boundary:"(string|element)",reference:"(string|element)",display:"string",popperConfig:"(null|object)"},x=function(){function t(t,e){this._element=t,this._popper=null,this._config=this._getConfig(e),this._menu=this._getMenuElement(),this._inNavbar=this._detectNavbar(),this._addEventListeners()}var i=t.prototype;return i.toggle=function(){if(!this._element.disabled&&!e(this._element).hasClass("disabled")){var 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n={relatedTarget:this._element},i=e.Event("hide.bs.dropdown",n),o=t._getParentFromElement(this._element);e(o).trigger(i),i.isDefaultPrevented()||(this._popper&&this._popper.destroy(),e(this._menu).toggleClass("show"),e(o).toggleClass("show").trigger(e.Event("hidden.bs.dropdown",n)))}},i.dispose=function(){e.removeData(this._element,"bs.dropdown"),e(this._element).off(".bs.dropdown"),this._element=null,this._menu=null,null!==this._popper&&(this._popper.destroy(),this._popper=null)},i.update=function(){this._inNavbar=this._detectNavbar(),null!==this._popper&&this._popper.scheduleUpdate()},i._addEventListeners=function(){var t=this;e(this._element).on("click.bs.dropdown",(function(e){e.preventDefault(),e.stopPropagation(),t.toggle()}))},i._getConfig=function(t){return t=a(a(a({},this.constructor.Default),e(this._element).data()),t),c.typeCheckConfig(N,t,this.constructor.DefaultType),t},i._getMenuElement=function(){if(!this._menu){var e=t._getParentFromElement(this._element);e&&(this._menu=e.querySelector(".dropdown-menu"))}return this._menu},i._getPlacement=function(){var t=e(this._element.parentNode),n="bottom-start";return t.hasClass("dropup")?n=e(this._menu).hasClass("dropdown-menu-right")?"top-end":"top-start":t.hasClass("dropright")?n="right-start":t.hasClass("dropleft")?n="left-start":e(this._menu).hasClass("dropdown-menu-right")&&(n="bottom-end"),n},i._detectNavbar=function(){return e(this._element).closest(".navbar").length>0},i._getOffset=function(){var t=this,e={};return"function"==typeof this._config.offset?e.fn=function(e){return e.offsets=a(a({},e.offsets),t._config.offset(e.offsets,t._element)||{}),e}:e.offset=this._config.offset,e},i._getPopperConfig=function(){var 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t=this;e(document).off("focusin.bs.modal").on("focusin.bs.modal",(function(n){document!==n.target&&t._element!==n.target&&0===e(t._element).has(n.target).length&&t._element.focus()}))},n._setEscapeEvent=function(){var t=this;this._isShown?e(this._element).on("keydown.dismiss.bs.modal",(function(e){t._config.keyboard&&27===e.which?(e.preventDefault(),t.hide()):t._config.keyboard||27!==e.which||t._triggerBackdropTransition()})):this._isShown||e(this._element).off("keydown.dismiss.bs.modal")},n._setResizeEvent=function(){var t=this;this._isShown?e(window).on("resize.bs.modal",(function(e){return t.handleUpdate(e)})):e(window).off("resize.bs.modal")},n._hideModal=function(){var t=this;this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._isTransitioning=!1,this._showBackdrop((function(){e(document.body).removeClass("modal-open"),t._resetAdjustments(),t._resetScrollbar(),e(t._element).trigger("hidden.bs.modal")}))},n._removeBackdrop=function(){this._backdrop&&(e(this._backdrop).remove(),this._backdrop=null)},n._showBackdrop=function(t){var n=this,i=e(this._element).hasClass("fade")?"fade":"";if(this._isShown&&this._config.backdrop){if(this._backdrop=document.createElement("div"),this._backdrop.className="modal-backdrop",i&&this._backdrop.classList.add(i),e(this._backdrop).appendTo(document.body),e(this._element).on("click.dismiss.bs.modal",(function(t){n._ignoreBackdropClick?n._ignoreBackdropClick=!1:t.target===t.currentTarget&&n._triggerBackdropTransition()})),i&&c.reflow(this._backdrop),e(this._backdrop).addClass("show"),!t)return;if(!i)return void t();var 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d=c.getTransitionDurationFromElement(this.tip);e(this.tip).one(c.TRANSITION_END,f).emulateTransitionEnd(d)}else f()}},i.hide=function(t){var n=this,i=this.getTipElement(),o=e.Event(this.constructor.Event.HIDE),r=function(){"show"!==n._hoverState&&i.parentNode&&i.parentNode.removeChild(i),n._cleanTipClass(),n.element.removeAttribute("aria-describedby"),e(n.element).trigger(n.constructor.Event.HIDDEN),null!==n._popper&&n._popper.destroy(),t&&t()};if(e(this.element).trigger(o),!o.isDefaultPrevented()){if(e(i).removeClass("show"),"ontouchstart"in document.documentElement&&e(document.body).children().off("mouseover",null,e.noop),this._activeTrigger.click=!1,this._activeTrigger.focus=!1,this._activeTrigger.hover=!1,e(this.tip).hasClass("fade")){var s=c.getTransitionDurationFromElement(i);e(i).one(c.TRANSITION_END,r).emulateTransitionEnd(s)}else r();this._hoverState=""}},i.update=function(){null!==this._popper&&this._popper.scheduleUpdate()},i.isWithContent=function(){return 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diff --git a/_preview/40/_static/language_data.js b/_preview/40/_static/language_data.js
new file mode 100644
index 0000000..ebe2f03
--- /dev/null
+++ b/_preview/40/_static/language_data.js
@@ -0,0 +1,297 @@
+/*
+ * language_data.js
+ * ~~~~~~~~~~~~~~~~
+ *
+ * This script contains the language-specific data used by searchtools.js,
+ * namely the list of stopwords, stemmer, scorer and splitter.
+ *
+ * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+var stopwords = ["a","and","are","as","at","be","but","by","for","if","in","into","is","it","near","no","not","of","on","or","such","that","the","their","then","there","these","they","this","to","was","will","with"];
+
+
+/* Non-minified version is copied as a separate JS file, is available */
+
+/**
+ * Porter Stemmer
+ */
+var Stemmer = function() {
+
+  var step2list = {
+    ational: 'ate',
+    tional: 'tion',
+    enci: 'ence',
+    anci: 'ance',
+    izer: 'ize',
+    bli: 'ble',
+    alli: 'al',
+    entli: 'ent',
+    eli: 'e',
+    ousli: 'ous',
+    ization: 'ize',
+    ation: 'ate',
+    ator: 'ate',
+    alism: 'al',
+    iveness: 'ive',
+    fulness: 'ful',
+    ousness: 'ous',
+    aliti: 'al',
+    iviti: 'ive',
+    biliti: 'ble',
+    logi: 'log'
+  };
+
+  var step3list = {
+    icate: 'ic',
+    ative: '',
+    alize: 'al',
+    iciti: 'ic',
+    ical: 'ic',
+    ful: '',
+    ness: ''
+  };
+
+  var c = "[^aeiou]";          // consonant
+  var v = "[aeiouy]";          // vowel
+  var C = c + "[^aeiouy]*";    // consonant sequence
+  var V = v + "[aeiou]*";      // vowel sequence
+
+  var mgr0 = "^(" + C + ")?" + V + C;                      // [C]VC... is m>0
+  var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$";    // [C]VC[V] is m=1
+  var mgr1 = "^(" + C + ")?" + V + C + V + C;              // [C]VCVC... is m>1
+  var s_v   = "^(" + C + ")?" + v;                         // vowel in stem
+
+  this.stemWord = function (w) {
+    var stem;
+    var suffix;
+    var firstch;
+    var origword = w;
+
+    if (w.length < 3)
+      return w;
+
+    var re;
+    var re2;
+    var re3;
+    var re4;
+
+    firstch = w.substr(0,1);
+    if (firstch == "y")
+      w = firstch.toUpperCase() + w.substr(1);
+
+    // Step 1a
+    re = /^(.+?)(ss|i)es$/;
+    re2 = /^(.+?)([^s])s$/;
+
+    if (re.test(w))
+      w = w.replace(re,"$1$2");
+    else if (re2.test(w))
+      w = w.replace(re2,"$1$2");
+
+    // Step 1b
+    re = /^(.+?)eed$/;
+    re2 = /^(.+?)(ed|ing)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      re = new RegExp(mgr0);
+      if (re.test(fp[1])) {
+        re = /.$/;
+        w = w.replace(re,"");
+      }
+    }
+    else if (re2.test(w)) {
+      var fp = re2.exec(w);
+      stem = fp[1];
+      re2 = new RegExp(s_v);
+      if (re2.test(stem)) {
+        w = stem;
+        re2 = /(at|bl|iz)$/;
+        re3 = new RegExp("([^aeiouylsz])\\1$");
+        re4 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+        if (re2.test(w))
+          w = w + "e";
+        else if (re3.test(w)) {
+          re = /.$/;
+          w = w.replace(re,"");
+        }
+        else if (re4.test(w))
+          w = w + "e";
+      }
+    }
+
+    // Step 1c
+    re = /^(.+?)y$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(s_v);
+      if (re.test(stem))
+        w = stem + "i";
+    }
+
+    // Step 2
+    re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      suffix = fp[2];
+      re = new RegExp(mgr0);
+      if (re.test(stem))
+        w = stem + step2list[suffix];
+    }
+
+    // Step 3
+    re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      suffix = fp[2];
+      re = new RegExp(mgr0);
+      if (re.test(stem))
+        w = stem + step3list[suffix];
+    }
+
+    // Step 4
+    re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;
+    re2 = /^(.+?)(s|t)(ion)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(mgr1);
+      if (re.test(stem))
+        w = stem;
+    }
+    else if (re2.test(w)) {
+      var fp = re2.exec(w);
+      stem = fp[1] + fp[2];
+      re2 = new RegExp(mgr1);
+      if (re2.test(stem))
+        w = stem;
+    }
+
+    // Step 5
+    re = /^(.+?)e$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(mgr1);
+      re2 = new RegExp(meq1);
+      re3 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+      if (re.test(stem) || (re2.test(stem) && !(re3.test(stem))))
+        w = stem;
+    }
+    re = /ll$/;
+    re2 = new RegExp(mgr1);
+    if (re.test(w) && re2.test(w)) {
+      re = /.$/;
+      w = w.replace(re,"");
+    }
+
+    // and turn initial Y back to y
+    if (firstch == "y")
+      w = firstch.toLowerCase() + w.substr(1);
+    return w;
+  }
+}
+
+
+
+
+var splitChars = (function() {
+    var result = {};
+    var singles = [96, 180, 187, 191, 215, 247, 749, 885, 903, 907, 909, 930, 1014, 1648,
+         1748, 1809, 2416, 2473, 2481, 2526, 2601, 2609, 2612, 2615, 2653, 2702,
+         2706, 2729, 2737, 2740, 2857, 2865, 2868, 2910, 2928, 2948, 2961, 2971,
+         2973, 3085, 3089, 3113, 3124, 3213, 3217, 3241, 3252, 3295, 3341, 3345,
+         3369, 3506, 3516, 3633, 3715, 3721, 3736, 3744, 3748, 3750, 3756, 3761,
+         3781, 3912, 4239, 4347, 4681, 4695, 4697, 4745, 4785, 4799, 4801, 4823,
+         4881, 5760, 5901, 5997, 6313, 7405, 8024, 8026, 8028, 8030, 8117, 8125,
+         8133, 8181, 8468, 8485, 8487, 8489, 8494, 8527, 11311, 11359, 11687, 11695,
+         11703, 11711, 11719, 11727, 11735, 12448, 12539, 43010, 43014, 43019, 43587,
+         43696, 43713, 64286, 64297, 64311, 64317, 64319, 64322, 64325, 65141];
+    var i, j, start, end;
+    for (i = 0; i < singles.length; i++) {
+        result[singles[i]] = true;
+    }
+    var ranges = [[0, 47], [58, 64], [91, 94], [123, 169], [171, 177], [182, 184], [706, 709],
+         [722, 735], [741, 747], [751, 879], [888, 889], [894, 901], [1154, 1161],
+         [1318, 1328], [1367, 1368], [1370, 1376], [1416, 1487], [1515, 1519], [1523, 1568],
+         [1611, 1631], [1642, 1645], [1750, 1764], [1767, 1773], [1789, 1790], [1792, 1807],
+         [1840, 1868], [1958, 1968], [1970, 1983], [2027, 2035], [2038, 2041], [2043, 2047],
+         [2070, 2073], [2075, 2083], [2085, 2087], [2089, 2307], [2362, 2364], [2366, 2383],
+         [2385, 2391], [2402, 2405], [2419, 2424], [2432, 2436], [2445, 2446], [2449, 2450],
+         [2483, 2485], [2490, 2492], [2494, 2509], [2511, 2523], [2530, 2533], [2546, 2547],
+         [2554, 2564], [2571, 2574], [2577, 2578], [2618, 2648], [2655, 2661], [2672, 2673],
+         [2677, 2692], [2746, 2748], [2750, 2767], [2769, 2783], [2786, 2789], [2800, 2820],
+         [2829, 2830], [2833, 2834], [2874, 2876], [2878, 2907], [2914, 2917], [2930, 2946],
+         [2955, 2957], [2966, 2968], [2976, 2978], [2981, 2983], [2987, 2989], [3002, 3023],
+         [3025, 3045], [3059, 3076], [3130, 3132], [3134, 3159], [3162, 3167], [3170, 3173],
+         [3184, 3191], [3199, 3204], [3258, 3260], [3262, 3293], [3298, 3301], [3312, 3332],
+         [3386, 3388], [3390, 3423], [3426, 3429], [3446, 3449], [3456, 3460], [3479, 3481],
+         [3518, 3519], [3527, 3584], [3636, 3647], [3655, 3663], [3674, 3712], [3717, 3718],
+         [3723, 3724], [3726, 3731], [3752, 3753], [3764, 3772], [3774, 3775], [3783, 3791],
+         [3802, 3803], [3806, 3839], [3841, 3871], [3892, 3903], [3949, 3975], [3980, 4095],
+         [4139, 4158], [4170, 4175], [4182, 4185], [4190, 4192], [4194, 4196], [4199, 4205],
+         [4209, 4212], [4226, 4237], [4250, 4255], [4294, 4303], [4349, 4351], [4686, 4687],
+         [4702, 4703], [4750, 4751], [4790, 4791], [4806, 4807], [4886, 4887], [4955, 4968],
+         [4989, 4991], [5008, 5023], [5109, 5120], [5741, 5742], [5787, 5791], [5867, 5869],
+         [5873, 5887], [5906, 5919], [5938, 5951], [5970, 5983], [6001, 6015], [6068, 6102],
+         [6104, 6107], [6109, 6111], [6122, 6127], [6138, 6159], [6170, 6175], [6264, 6271],
+         [6315, 6319], [6390, 6399], [6429, 6469], [6510, 6511], [6517, 6527], [6572, 6592],
+         [6600, 6607], [6619, 6655], [6679, 6687], [6741, 6783], [6794, 6799], [6810, 6822],
+         [6824, 6916], [6964, 6980], [6988, 6991], [7002, 7042], [7073, 7085], [7098, 7167],
+         [7204, 7231], [7242, 7244], [7294, 7400], [7410, 7423], [7616, 7679], [7958, 7959],
+         [7966, 7967], [8006, 8007], [8014, 8015], [8062, 8063], [8127, 8129], [8141, 8143],
+         [8148, 8149], [8156, 8159], [8173, 8177], [8189, 8303], [8306, 8307], [8314, 8318],
+         [8330, 8335], [8341, 8449], [8451, 8454], [8456, 8457], [8470, 8472], [8478, 8483],
+         [8506, 8507], [8512, 8516], [8522, 8525], [8586, 9311], [9372, 9449], [9472, 10101],
+         [10132, 11263], [11493, 11498], [11503, 11516], [11518, 11519], [11558, 11567],
+         [11622, 11630], [11632, 11647], [11671, 11679], [11743, 11822], [11824, 12292],
+         [12296, 12320], [12330, 12336], [12342, 12343], [12349, 12352], [12439, 12444],
+         [12544, 12548], [12590, 12592], [12687, 12689], [12694, 12703], [12728, 12783],
+         [12800, 12831], [12842, 12880], [12896, 12927], [12938, 12976], [12992, 13311],
+         [19894, 19967], [40908, 40959], [42125, 42191], [42238, 42239], [42509, 42511],
+         [42540, 42559], [42592, 42593], [42607, 42622], [42648, 42655], [42736, 42774],
+         [42784, 42785], [42889, 42890], [42893, 43002], [43043, 43055], [43062, 43071],
+         [43124, 43137], [43188, 43215], [43226, 43249], [43256, 43258], [43260, 43263],
+         [43302, 43311], [43335, 43359], [43389, 43395], [43443, 43470], [43482, 43519],
+         [43561, 43583], [43596, 43599], [43610, 43615], [43639, 43641], [43643, 43647],
+         [43698, 43700], [43703, 43704], [43710, 43711], [43715, 43738], [43742, 43967],
+         [44003, 44015], [44026, 44031], [55204, 55215], [55239, 55242], [55292, 55295],
+         [57344, 63743], [64046, 64047], [64110, 64111], [64218, 64255], [64263, 64274],
+         [64280, 64284], [64434, 64466], [64830, 64847], [64912, 64913], [64968, 65007],
+         [65020, 65135], [65277, 65295], [65306, 65312], [65339, 65344], [65371, 65381],
+         [65471, 65473], [65480, 65481], [65488, 65489], [65496, 65497]];
+    for (i = 0; i < ranges.length; i++) {
+        start = ranges[i][0];
+        end = ranges[i][1];
+        for (j = start; j <= end; j++) {
+            result[j] = true;
+        }
+    }
+    return result;
+})();
+
+function splitQuery(query) {
+    var result = [];
+    var start = -1;
+    for (var i = 0; i < query.length; i++) {
+        if (splitChars[query.charCodeAt(i)]) {
+            if (start !== -1) {
+                result.push(query.slice(start, i));
+                start = -1;
+            }
+        } else if (start === -1) {
+            start = i;
+        }
+    }
+    if (start !== -1) {
+        result.push(query.slice(start));
+    }
+    return result;
+}
+
+
diff --git a/_preview/40/_static/minus.png b/_preview/40/_static/minus.png
new file mode 100644
index 0000000000000000000000000000000000000000..d96755fdaf8bb2214971e0db9c1fd3077d7c419d
GIT binary patch
literal 90
zcmeAS@N?(olHy`uVBq!ia0vp^+#t*WBp7;*Yy1LIik>cxAr*|t7R?Mi>2?kWtu=nj
kDsEF_5m^0CR;1wuP-*O&G^0G}KYk!hp00i_>zopr08q^qX#fBK

literal 0
HcmV?d00001

diff --git a/_preview/40/_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css b/_preview/40/_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css
new file mode 100644
index 0000000..3356631
--- /dev/null
+++ b/_preview/40/_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css
@@ -0,0 +1,2342 @@
+/* Variables */
+:root {
+  --mystnb-source-bg-color: #f7f7f7;
+  --mystnb-stdout-bg-color: #fcfcfc;
+  --mystnb-stderr-bg-color: #fdd;
+  --mystnb-traceback-bg-color: #fcfcfc;
+  --mystnb-source-border-color: #ccc;
+  --mystnb-source-margin-color: green;
+  --mystnb-stdout-border-color: #f7f7f7;
+  --mystnb-stderr-border-color: #f7f7f7;
+  --mystnb-traceback-border-color: #ffd6d6;
+  --mystnb-hide-prompt-opacity: 70%;
+  --mystnb-source-border-radius: .4em;
+  --mystnb-source-border-width: 1px;
+}
+
+/* Whole cell */
+div.container.cell {
+  padding-left: 0;
+  margin-bottom: 1em;
+}
+
+/* Removing all background formatting so we can control at the div level */
+.cell_input div.highlight,
+.cell_output pre,
+.cell_input pre,
+.cell_output .output {
+  border: none;
+  box-shadow: none;
+}
+
+.cell_output .output pre,
+.cell_input pre {
+  margin: 0px;
+}
+
+/* Input cells */
+div.cell div.cell_input,
+div.cell details.above-input>summary {
+  padding-left: 0em;
+  padding-right: 0em;
+  border: var(--mystnb-source-border-width) var(--mystnb-source-border-color) solid;
+  background-color: var(--mystnb-source-bg-color);
+  border-left-color: var(--mystnb-source-margin-color);
+  border-left-width: medium;
+  border-radius: var(--mystnb-source-border-radius);
+}
+
+div.cell_input>div,
+div.cell_output div.output>div.highlight {
+  margin: 0em !important;
+  border: none !important;
+}
+
+/* All cell outputs */
+.cell_output {
+  padding-left: 1em;
+  padding-right: 0em;
+  margin-top: 1em;
+}
+
+/* Text outputs from cells */
+.cell_output .output.text_plain,
+.cell_output .output.traceback,
+.cell_output .output.stream,
+.cell_output .output.stderr {
+  margin-top: 1em;
+  margin-bottom: 0em;
+  box-shadow: none;
+}
+
+.cell_output .output.text_plain,
+.cell_output .output.stream {
+  background: var(--mystnb-stdout-bg-color);
+  border: 1px solid var(--mystnb-stdout-border-color);
+}
+
+.cell_output .output.stderr {
+  background: var(--mystnb-stderr-bg-color);
+  border: 1px solid var(--mystnb-stderr-border-color);
+}
+
+.cell_output .output.traceback {
+  background: var(--mystnb-traceback-bg-color);
+  border: 1px solid var(--mystnb-traceback-border-color);
+}
+
+/* Collapsible cell content */
+div.cell details.above-input div.cell_input {
+  border-top-left-radius: 0;
+  border-top-right-radius: 0;
+  border-top: var(--mystnb-source-border-width) var(--mystnb-source-border-color) dashed;
+}
+
+div.cell div.cell_input.above-output-prompt {
+  border-bottom-left-radius: 0;
+  border-bottom-right-radius: 0;
+}
+
+div.cell details.above-input>summary {
+  border-bottom-left-radius: 0;
+  border-bottom-right-radius: 0;
+  border-bottom: var(--mystnb-source-border-width) var(--mystnb-source-border-color) dashed;
+  padding-left: 1em;
+  margin-bottom: 0;
+}
+
+div.cell details.above-output>summary {
+  background-color: var(--mystnb-source-bg-color);
+  padding-left: 1em;
+  padding-right: 0em;
+  border: var(--mystnb-source-border-width) var(--mystnb-source-border-color) solid;
+  border-radius: var(--mystnb-source-border-radius);
+  border-left-color: var(--mystnb-source-margin-color);
+  border-left-width: medium;
+}
+
+div.cell details.below-input>summary {
+  background-color: var(--mystnb-source-bg-color);
+  padding-left: 1em;
+  padding-right: 0em;
+  border: var(--mystnb-source-border-width) var(--mystnb-source-border-color) solid;
+  border-top: none;
+  border-bottom-left-radius: var(--mystnb-source-border-radius);
+  border-bottom-right-radius: var(--mystnb-source-border-radius);
+  border-left-color: var(--mystnb-source-margin-color);
+  border-left-width: medium;
+}
+
+div.cell details.hide>summary>span {
+  opacity: var(--mystnb-hide-prompt-opacity);
+}
+
+div.cell details.hide[open]>summary>span.collapsed {
+  display: none;
+}
+
+div.cell details.hide:not([open])>summary>span.expanded {
+  display: none;
+}
+
+@keyframes collapsed-fade-in {
+  0% {
+    opacity: 0;
+  }
+
+  100% {
+    opacity: 1;
+  }
+}
+div.cell details.hide[open]>summary~* {
+  -moz-animation: collapsed-fade-in 0.3s ease-in-out;
+  -webkit-animation: collapsed-fade-in 0.3s ease-in-out;
+  animation: collapsed-fade-in 0.3s ease-in-out;
+}
+
+/* Math align to the left */
+.cell_output .MathJax_Display {
+  text-align: left !important;
+}
+
+/* Pandas tables. Pulled from the Jupyter / nbsphinx CSS */
+div.cell_output table {
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 1em;
+  table-layout: fixed;
+}
+
+div.cell_output thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+
+div.cell_output tr,
+div.cell_output th,
+div.cell_output td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+
+div.cell_output th {
+  font-weight: bold;
+}
+
+div.cell_output tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+
+div.cell_output tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+
+/** source code line numbers **/
+span.linenos {
+  opacity: 0.5;
+}
+
+/* Inline text from `paste` operation */
+
+span.pasted-text {
+  font-weight: bold;
+}
+
+span.pasted-inline img {
+  max-height: 2em;
+}
+
+tbody span.pasted-inline img {
+  max-height: none;
+}
+
+/* Font colors for translated ANSI escape sequences
+Color values are copied from Jupyter Notebook
+https://github.com/jupyter/notebook/blob/52581f8eda9b319eb0390ac77fe5903c38f81e3e/notebook/static/notebook/less/ansicolors.less#L14-L21
+Background colors from
+https://nbsphinx.readthedocs.io/en/latest/code-cells.html#ANSI-Colors
+*/
+div.highlight .-Color-Bold {
+  font-weight: bold;
+}
+
+div.highlight .-Color[class*=-Black] {
+  color: #3E424D
+}
+
+div.highlight .-Color[class*=-Red] {
+  color: #E75C58
+}
+
+div.highlight .-Color[class*=-Green] {
+  color: #00A250
+}
+
+div.highlight .-Color[class*=-Yellow] {
+  color: #DDB62B
+}
+
+div.highlight .-Color[class*=-Blue] {
+  color: #208FFB
+}
+
+div.highlight .-Color[class*=-Magenta] {
+  color: #D160C4
+}
+
+div.highlight .-Color[class*=-Cyan] {
+  color: #60C6C8
+}
+
+div.highlight .-Color[class*=-White] {
+  color: #C5C1B4
+}
+
+div.highlight .-Color[class*=-BGBlack] {
+  background-color: #3E424D
+}
+
+div.highlight .-Color[class*=-BGRed] {
+  background-color: #E75C58
+}
+
+div.highlight .-Color[class*=-BGGreen] {
+  background-color: #00A250
+}
+
+div.highlight .-Color[class*=-BGYellow] {
+  background-color: #DDB62B
+}
+
+div.highlight .-Color[class*=-BGBlue] {
+  background-color: #208FFB
+}
+
+div.highlight .-Color[class*=-BGMagenta] {
+  background-color: #D160C4
+}
+
+div.highlight .-Color[class*=-BGCyan] {
+  background-color: #60C6C8
+}
+
+div.highlight .-Color[class*=-BGWhite] {
+  background-color: #C5C1B4
+}
+
+/* Font colors for 8-bit ANSI */
+
+div.highlight .-Color[class*=-C0] {
+  color: #000000
+}
+
+div.highlight .-Color[class*=-BGC0] {
+  background-color: #000000
+}
+
+div.highlight .-Color[class*=-C1] {
+  color: #800000
+}
+
+div.highlight .-Color[class*=-BGC1] {
+  background-color: #800000
+}
+
+div.highlight .-Color[class*=-C2] {
+  color: #008000
+}
+
+div.highlight .-Color[class*=-BGC2] {
+  background-color: #008000
+}
+
+div.highlight .-Color[class*=-C3] {
+  color: #808000
+}
+
+div.highlight .-Color[class*=-BGC3] {
+  background-color: #808000
+}
+
+div.highlight .-Color[class*=-C4] {
+  color: #000080
+}
+
+div.highlight .-Color[class*=-BGC4] {
+  background-color: #000080
+}
+
+div.highlight .-Color[class*=-C5] {
+  color: #800080
+}
+
+div.highlight .-Color[class*=-BGC5] {
+  background-color: #800080
+}
+
+div.highlight .-Color[class*=-C6] {
+  color: #008080
+}
+
+div.highlight .-Color[class*=-BGC6] {
+  background-color: #008080
+}
+
+div.highlight .-Color[class*=-C7] {
+  color: #C0C0C0
+}
+
+div.highlight .-Color[class*=-BGC7] {
+  background-color: #C0C0C0
+}
+
+div.highlight .-Color[class*=-C8] {
+  color: #808080
+}
+
+div.highlight .-Color[class*=-BGC8] {
+  background-color: #808080
+}
+
+div.highlight .-Color[class*=-C9] {
+  color: #FF0000
+}
+
+div.highlight .-Color[class*=-BGC9] {
+  background-color: #FF0000
+}
+
+div.highlight .-Color[class*=-C10] {
+  color: #00FF00
+}
+
+div.highlight .-Color[class*=-BGC10] {
+  background-color: #00FF00
+}
+
+div.highlight .-Color[class*=-C11] {
+  color: #FFFF00
+}
+
+div.highlight .-Color[class*=-BGC11] {
+  background-color: #FFFF00
+}
+
+div.highlight .-Color[class*=-C12] {
+  color: #0000FF
+}
+
+div.highlight .-Color[class*=-BGC12] {
+  background-color: #0000FF
+}
+
+div.highlight .-Color[class*=-C13] {
+  color: #FF00FF
+}
+
+div.highlight .-Color[class*=-BGC13] {
+  background-color: #FF00FF
+}
+
+div.highlight .-Color[class*=-C14] {
+  color: #00FFFF
+}
+
+div.highlight .-Color[class*=-BGC14] {
+  background-color: #00FFFF
+}
+
+div.highlight .-Color[class*=-C15] {
+  color: #FFFFFF
+}
+
+div.highlight .-Color[class*=-BGC15] {
+  background-color: #FFFFFF
+}
+
+div.highlight .-Color[class*=-C16] {
+  color: #000000
+}
+
+div.highlight .-Color[class*=-BGC16] {
+  background-color: #000000
+}
+
+div.highlight .-Color[class*=-C17] {
+  color: #00005F
+}
+
+div.highlight .-Color[class*=-BGC17] {
+  background-color: #00005F
+}
+
+div.highlight .-Color[class*=-C18] {
+  color: #000087
+}
+
+div.highlight .-Color[class*=-BGC18] {
+  background-color: #000087
+}
+
+div.highlight .-Color[class*=-C19] {
+  color: #0000AF
+}
+
+div.highlight .-Color[class*=-BGC19] {
+  background-color: #0000AF
+}
+
+div.highlight .-Color[class*=-C20] {
+  color: #0000D7
+}
+
+div.highlight .-Color[class*=-BGC20] {
+  background-color: #0000D7
+}
+
+div.highlight .-Color[class*=-C21] {
+  color: #0000FF
+}
+
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+}
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+}
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+}
+
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+}
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+}
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+}
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+}
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+}
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+}
+
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+}
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+}
+
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+}
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+}
+
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+}
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+}
+
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+}
+
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+}
+
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+}
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+}
+
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+}
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+}
+
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+}
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+}
+
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+}
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+}
+
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+}
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+}
+
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+         d="m 842.08492,20.55608 c 10.528,0 18.022,6.068 20.1,15.585 h -12.55 a 8.2,8.2 0 0 0 -7.732,-4.878 c -5.353,0 -8.862,4.163 -8.862,10.588 0,6.482 3.509,10.645 8.862,10.645 a 8.2,8.2 0 0 0 7.732,-4.877 h 12.55 c -2.081,9.516 -9.575,15.584 -20.1,15.584 -12.609,0 -20.877,-8.8 -20.877,-21.352 0,-12.491 8.268,-21.295 20.877,-21.295 z"
+         id="path291"
+         style="fill:#ffffff;fill-opacity:1;stroke:#ffffff;stroke-width:0.846;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
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+         class="cls-2"
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+         style="fill:#ffffff;fill-opacity:1;stroke:#ffffff;stroke-width:0.846;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
+    </g>
+    <g
+       id="g272"
+       transform="translate(0.84552707,-6.7642162)"
+       style="fill:#ffffff;stroke:#ffffff">
+      <path
+         class="cls-2"
+         d="m 646.63478,107.93597 h -5.77 v 14.156 h -11.658 V 80.155972 h 17.428 c 10.409,0 15.7,5.888 15.7,13.977 0.003,7.322998 -5.054,13.802998 -15.7,13.802998 z m -1.131,-9.277998 c 3.511,0 4.938,-1.785 4.938,-4.521 0,-2.8 -1.427,-4.579 -4.938,-4.579 h -4.639 v 9.1 z"
+         id="path295"
+         style="fill:#ffffff;fill-opacity:1;stroke:#ffffff;stroke-width:0.846;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
+      <path
+         class="cls-2"
+         d="m 663.93978,80.155972 h 13.323 l 7.375,16.178 7.375,-16.178 h 13.145 l -14.75,28.608998 v 13.323 h -11.718 v -13.319 z"
+         id="path297"
+         style="fill:#ffffff;fill-opacity:1;stroke:#ffffff;stroke-width:0.846;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
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+         class="cls-2"
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+         style="fill:#ffffff;fill-opacity:1;stroke:#ffffff;stroke-width:0.846;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
+      <path
+         class="cls-2"
+         d="m 770.51576,105.25597 h -14.216 v 16.831 h -11.658 V 80.155972 h 11.658 v 15.762 h 14.216 v -15.762 h 11.658 v 41.931998 h -11.658 z"
+         id="path301"
+         style="fill:#ffffff;fill-opacity:1;stroke:#ffffff;stroke-width:0.846;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
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+         class="cls-2"
+         d="m 788.83076,80.155972 h 11.658 v 41.931998 h -11.658 z"
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+         style="fill:#ffffff;fill-opacity:1;stroke:#ffffff;stroke-width:0.846;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
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+         class="cls-2"
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+         id="path305"
+         style="fill:#ffffff;fill-opacity:1;stroke:#ffffff;stroke-width:0.846;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" />
+    </g>
+  </g>
+</svg>
diff --git a/_preview/40/_static/searchtools.js b/_preview/40/_static/searchtools.js
new file mode 100644
index 0000000..0a44e85
--- /dev/null
+++ b/_preview/40/_static/searchtools.js
@@ -0,0 +1,525 @@
+/*
+ * searchtools.js
+ * ~~~~~~~~~~~~~~~~
+ *
+ * Sphinx JavaScript utilities for the full-text search.
+ *
+ * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+if (!Scorer) {
+  /**
+   * Simple result scoring code.
+   */
+  var Scorer = {
+    // Implement the following function to further tweak the score for each result
+    // The function takes a result array [filename, title, anchor, descr, score]
+    // and returns the new score.
+    /*
+    score: function(result) {
+      return result[4];
+    },
+    */
+
+    // query matches the full name of an object
+    objNameMatch: 11,
+    // or matches in the last dotted part of the object name
+    objPartialMatch: 6,
+    // Additive scores depending on the priority of the object
+    objPrio: {0:  15,   // used to be importantResults
+              1:  5,   // used to be objectResults
+              2: -5},  // used to be unimportantResults
+    //  Used when the priority is not in the mapping.
+    objPrioDefault: 0,
+
+    // query found in title
+    title: 15,
+    partialTitle: 7,
+    // query found in terms
+    term: 5,
+    partialTerm: 2
+  };
+}
+
+if (!splitQuery) {
+  function splitQuery(query) {
+    return query.split(/\s+/);
+  }
+}
+
+/**
+ * Search Module
+ */
+var Search = {
+
+  _index : null,
+  _queued_query : null,
+  _pulse_status : -1,
+
+  htmlToText : function(htmlString) {
+      var virtualDocument = document.implementation.createHTMLDocument('virtual');
+      var htmlElement = $(htmlString, virtualDocument);
+      htmlElement.find('.headerlink').remove();
+      docContent = htmlElement.find('[role=main]')[0];
+      if(docContent === undefined) {
+          console.warn("Content block not found. Sphinx search tries to obtain it " +
+                       "via '[role=main]'. Could you check your theme or template.");
+          return "";
+      }
+      return docContent.textContent || docContent.innerText;
+  },
+
+  init : function() {
+      var params = $.getQueryParameters();
+      if (params.q) {
+          var query = params.q[0];
+          $('input[name="q"]')[0].value = query;
+          this.performSearch(query);
+      }
+  },
+
+  loadIndex : function(url) {
+    $.ajax({type: "GET", url: url, data: null,
+            dataType: "script", cache: true,
+            complete: function(jqxhr, textstatus) {
+              if (textstatus != "success") {
+                document.getElementById("searchindexloader").src = url;
+              }
+            }});
+  },
+
+  setIndex : function(index) {
+    var q;
+    this._index = index;
+    if ((q = this._queued_query) !== null) {
+      this._queued_query = null;
+      Search.query(q);
+    }
+  },
+
+  hasIndex : function() {
+      return this._index !== null;
+  },
+
+  deferQuery : function(query) {
+      this._queued_query = query;
+  },
+
+  stopPulse : function() {
+      this._pulse_status = 0;
+  },
+
+  startPulse : function() {
+    if (this._pulse_status >= 0)
+        return;
+    function pulse() {
+      var i;
+      Search._pulse_status = (Search._pulse_status + 1) % 4;
+      var dotString = '';
+      for (i = 0; i < Search._pulse_status; i++)
+        dotString += '.';
+      Search.dots.text(dotString);
+      if (Search._pulse_status > -1)
+        window.setTimeout(pulse, 500);
+    }
+    pulse();
+  },
+
+  /**
+   * perform a search for something (or wait until index is loaded)
+   */
+  performSearch : function(query) {
+    // create the required interface elements
+    this.out = $('#search-results');
+    this.title = $('<h2>' + _('Searching') + '</h2>').appendTo(this.out);
+    this.dots = $('<span></span>').appendTo(this.title);
+    this.status = $('<p class="search-summary">&nbsp;</p>').appendTo(this.out);
+    this.output = $('<ul class="search"/>').appendTo(this.out);
+
+    $('#search-progress').text(_('Preparing search...'));
+    this.startPulse();
+
+    // index already loaded, the browser was quick!
+    if (this.hasIndex())
+      this.query(query);
+    else
+      this.deferQuery(query);
+  },
+
+  /**
+   * execute search (requires search index to be loaded)
+   */
+  query : function(query) {
+    var i;
+
+    // stem the searchterms and add them to the correct list
+    var stemmer = new Stemmer();
+    var searchterms = [];
+    var excluded = [];
+    var hlterms = [];
+    var tmp = splitQuery(query);
+    var objectterms = [];
+    for (i = 0; i < tmp.length; i++) {
+      if (tmp[i] !== "") {
+          objectterms.push(tmp[i].toLowerCase());
+      }
+
+      if ($u.indexOf(stopwords, tmp[i].toLowerCase()) != -1 || tmp[i] === "") {
+        // skip this "word"
+        continue;
+      }
+      // stem the word
+      var word = stemmer.stemWord(tmp[i].toLowerCase());
+      var toAppend;
+      // select the correct list
+      if (word[0] == '-') {
+        toAppend = excluded;
+        word = word.substr(1);
+      }
+      else {
+        toAppend = searchterms;
+        hlterms.push(tmp[i].toLowerCase());
+      }
+      // only add if not already in the list
+      if (!$u.contains(toAppend, word))
+        toAppend.push(word);
+    }
+    var highlightstring = '?highlight=' + $.urlencode(hlterms.join(" "));
+
+    // console.debug('SEARCH: searching for:');
+    // console.info('required: ', searchterms);
+    // console.info('excluded: ', excluded);
+
+    // prepare search
+    var terms = this._index.terms;
+    var titleterms = this._index.titleterms;
+
+    // array of [filename, title, anchor, descr, score]
+    var results = [];
+    $('#search-progress').empty();
+
+    // lookup as object
+    for (i = 0; i < objectterms.length; i++) {
+      var others = [].concat(objectterms.slice(0, i),
+                             objectterms.slice(i+1, objectterms.length));
+      results = results.concat(this.performObjectSearch(objectterms[i], others));
+    }
+
+    // lookup as search terms in fulltext
+    results = results.concat(this.performTermsSearch(searchterms, excluded, terms, titleterms));
+
+    // let the scorer override scores with a custom scoring function
+    if (Scorer.score) {
+      for (i = 0; i < results.length; i++)
+        results[i][4] = Scorer.score(results[i]);
+    }
+
+    // now sort the results by score (in opposite order of appearance, since the
+    // display function below uses pop() to retrieve items) and then
+    // alphabetically
+    results.sort(function(a, b) {
+      var left = a[4];
+      var right = b[4];
+      if (left > right) {
+        return 1;
+      } else if (left < right) {
+        return -1;
+      } else {
+        // same score: sort alphabetically
+        left = a[1].toLowerCase();
+        right = b[1].toLowerCase();
+        return (left > right) ? -1 : ((left < right) ? 1 : 0);
+      }
+    });
+
+    // for debugging
+    //Search.lastresults = results.slice();  // a copy
+    //console.info('search results:', Search.lastresults);
+
+    // print the results
+    var resultCount = results.length;
+    function displayNextItem() {
+      // results left, load the summary and display it
+      if (results.length) {
+        var item = results.pop();
+        var listItem = $('<li></li>');
+        var requestUrl = "";
+        var linkUrl = "";
+        if (DOCUMENTATION_OPTIONS.BUILDER === 'dirhtml') {
+          // dirhtml builder
+          var dirname = item[0] + '/';
+          if (dirname.match(/\/index\/$/)) {
+            dirname = dirname.substring(0, dirname.length-6);
+          } else if (dirname == 'index/') {
+            dirname = '';
+          }
+          requestUrl = DOCUMENTATION_OPTIONS.URL_ROOT + dirname;
+          linkUrl = requestUrl;
+
+        } else {
+          // normal html builders
+          requestUrl = DOCUMENTATION_OPTIONS.URL_ROOT + item[0] + DOCUMENTATION_OPTIONS.FILE_SUFFIX;
+          linkUrl = item[0] + DOCUMENTATION_OPTIONS.LINK_SUFFIX;
+        }
+        listItem.append($('<a/>').attr('href',
+            linkUrl +
+            highlightstring + item[2]).html(item[1]));
+        if (item[3]) {
+          listItem.append($('<span> (' + item[3] + ')</span>'));
+          Search.output.append(listItem);
+          setTimeout(function() {
+            displayNextItem();
+          }, 5);
+        } else if (DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY) {
+          $.ajax({url: requestUrl,
+                  dataType: "text",
+                  complete: function(jqxhr, textstatus) {
+                    var data = jqxhr.responseText;
+                    if (data !== '' && data !== undefined) {
+                      var summary = Search.makeSearchSummary(data, searchterms, hlterms);
+                      if (summary) {
+                        listItem.append(summary);
+                      }
+                    }
+                    Search.output.append(listItem);
+                    setTimeout(function() {
+                      displayNextItem();
+                    }, 5);
+                  }});
+        } else {
+          // just display title
+          Search.output.append(listItem);
+          setTimeout(function() {
+            displayNextItem();
+          }, 5);
+        }
+      }
+      // search finished, update title and status message
+      else {
+        Search.stopPulse();
+        Search.title.text(_('Search Results'));
+        if (!resultCount)
+          Search.status.text(_('Your search did not match any documents. Please make sure that all words are spelled correctly and that you\'ve selected enough categories.'));
+        else
+            Search.status.text(_('Search finished, found %s page(s) matching the search query.').replace('%s', resultCount));
+        Search.status.fadeIn(500);
+      }
+    }
+    displayNextItem();
+  },
+
+  /**
+   * search for object names
+   */
+  performObjectSearch : function(object, otherterms) {
+    var filenames = this._index.filenames;
+    var docnames = this._index.docnames;
+    var objects = this._index.objects;
+    var objnames = this._index.objnames;
+    var titles = this._index.titles;
+
+    var i;
+    var results = [];
+
+    for (var prefix in objects) {
+      for (var iMatch = 0; iMatch != objects[prefix].length; ++iMatch) {
+        var match = objects[prefix][iMatch];
+        var name = match[4];
+        var fullname = (prefix ? prefix + '.' : '') + name;
+        var fullnameLower = fullname.toLowerCase()
+        if (fullnameLower.indexOf(object) > -1) {
+          var score = 0;
+          var parts = fullnameLower.split('.');
+          // check for different match types: exact matches of full name or
+          // "last name" (i.e. last dotted part)
+          if (fullnameLower == object || parts[parts.length - 1] == object) {
+            score += Scorer.objNameMatch;
+          // matches in last name
+          } else if (parts[parts.length - 1].indexOf(object) > -1) {
+            score += Scorer.objPartialMatch;
+          }
+          var objname = objnames[match[1]][2];
+          var title = titles[match[0]];
+          // If more than one term searched for, we require other words to be
+          // found in the name/title/description
+          if (otherterms.length > 0) {
+            var haystack = (prefix + ' ' + name + ' ' +
+                            objname + ' ' + title).toLowerCase();
+            var allfound = true;
+            for (i = 0; i < otherterms.length; i++) {
+              if (haystack.indexOf(otherterms[i]) == -1) {
+                allfound = false;
+                break;
+              }
+            }
+            if (!allfound) {
+              continue;
+            }
+          }
+          var descr = objname + _(', in ') + title;
+
+          var anchor = match[3];
+          if (anchor === '')
+            anchor = fullname;
+          else if (anchor == '-')
+            anchor = objnames[match[1]][1] + '-' + fullname;
+          // add custom score for some objects according to scorer
+          if (Scorer.objPrio.hasOwnProperty(match[2])) {
+            score += Scorer.objPrio[match[2]];
+          } else {
+            score += Scorer.objPrioDefault;
+          }
+          results.push([docnames[match[0]], fullname, '#'+anchor, descr, score, filenames[match[0]]]);
+        }
+      }
+    }
+
+    return results;
+  },
+
+  /**
+   * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions
+   */
+  escapeRegExp : function(string) {
+    return string.replace(/[.*+\-?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string
+  },
+
+  /**
+   * search for full-text terms in the index
+   */
+  performTermsSearch : function(searchterms, excluded, terms, titleterms) {
+    var docnames = this._index.docnames;
+    var filenames = this._index.filenames;
+    var titles = this._index.titles;
+
+    var i, j, file;
+    var fileMap = {};
+    var scoreMap = {};
+    var results = [];
+
+    // perform the search on the required terms
+    for (i = 0; i < searchterms.length; i++) {
+      var word = searchterms[i];
+      var files = [];
+      var _o = [
+        {files: terms[word], score: Scorer.term},
+        {files: titleterms[word], score: Scorer.title}
+      ];
+      // add support for partial matches
+      if (word.length > 2) {
+        var word_regex = this.escapeRegExp(word);
+        for (var w in terms) {
+          if (w.match(word_regex) && !terms[word]) {
+            _o.push({files: terms[w], score: Scorer.partialTerm})
+          }
+        }
+        for (var w in titleterms) {
+          if (w.match(word_regex) && !titleterms[word]) {
+              _o.push({files: titleterms[w], score: Scorer.partialTitle})
+          }
+        }
+      }
+
+      // no match but word was a required one
+      if ($u.every(_o, function(o){return o.files === undefined;})) {
+        break;
+      }
+      // found search word in contents
+      $u.each(_o, function(o) {
+        var _files = o.files;
+        if (_files === undefined)
+          return
+
+        if (_files.length === undefined)
+          _files = [_files];
+        files = files.concat(_files);
+
+        // set score for the word in each file to Scorer.term
+        for (j = 0; j < _files.length; j++) {
+          file = _files[j];
+          if (!(file in scoreMap))
+            scoreMap[file] = {};
+          scoreMap[file][word] = o.score;
+        }
+      });
+
+      // create the mapping
+      for (j = 0; j < files.length; j++) {
+        file = files[j];
+        if (file in fileMap && fileMap[file].indexOf(word) === -1)
+          fileMap[file].push(word);
+        else
+          fileMap[file] = [word];
+      }
+    }
+
+    // now check if the files don't contain excluded terms
+    for (file in fileMap) {
+      var valid = true;
+
+      // check if all requirements are matched
+      var filteredTermCount = // as search terms with length < 3 are discarded: ignore
+        searchterms.filter(function(term){return term.length > 2}).length
+      if (
+        fileMap[file].length != searchterms.length &&
+        fileMap[file].length != filteredTermCount
+      ) continue;
+
+      // ensure that none of the excluded terms is in the search result
+      for (i = 0; i < excluded.length; i++) {
+        if (terms[excluded[i]] == file ||
+            titleterms[excluded[i]] == file ||
+            $u.contains(terms[excluded[i]] || [], file) ||
+            $u.contains(titleterms[excluded[i]] || [], file)) {
+          valid = false;
+          break;
+        }
+      }
+
+      // if we have still a valid result we can add it to the result list
+      if (valid) {
+        // select one (max) score for the file.
+        // for better ranking, we should calculate ranking by using words statistics like basic tf-idf...
+        var score = $u.max($u.map(fileMap[file], function(w){return scoreMap[file][w]}));
+        results.push([docnames[file], titles[file], '', null, score, filenames[file]]);
+      }
+    }
+    return results;
+  },
+
+  /**
+   * helper function to return a node containing the
+   * search summary for a given text. keywords is a list
+   * of stemmed words, hlwords is the list of normal, unstemmed
+   * words. the first one is used to find the occurrence, the
+   * latter for highlighting it.
+   */
+  makeSearchSummary : function(htmlText, keywords, hlwords) {
+    var text = Search.htmlToText(htmlText);
+    if (text == "") {
+      return null;
+    }
+    var textLower = text.toLowerCase();
+    var start = 0;
+    $.each(keywords, function() {
+      var i = textLower.indexOf(this.toLowerCase());
+      if (i > -1)
+        start = i;
+    });
+    start = Math.max(start - 120, 0);
+    var excerpt = ((start > 0) ? '...' : '') +
+      $.trim(text.substr(start, 240)) +
+      ((start + 240 - text.length) ? '...' : '');
+    var rv = $('<p class="context"></p>').text(excerpt);
+    $.each(hlwords, function() {
+      rv = rv.highlightText(this, 'highlighted');
+    });
+    return rv;
+  }
+};
+
+$(document).ready(function() {
+  Search.init();
+});
diff --git a/_preview/40/_static/sphinx-book-theme.css b/_preview/40/_static/sphinx-book-theme.css
new file mode 100644
index 0000000..13c6149
--- /dev/null
+++ b/_preview/40/_static/sphinx-book-theme.css
@@ -0,0 +1,5 @@
+/*! sphinx-book-theme CSS
+ * BSD 3-Clause License
+ * Copyright (c) 2020, EBP
+ * All rights reserved.
+ */:root{--pst-font-size-base: none;--pst-color-primary: 87, 154, 202;--pst-color-admonition-note: var(--pst-color-primary);--pst-color-admonition-default: var(--pst-color-primary);--pst-color-info: 255, 193, 7;--pst-color-admonition-tip: var(--pst-color-info);--pst-color-admonition-hint: var(--pst-color-info);--pst-color-admonition-important: var(--pst-color-info);--pst-color-warning: 245, 162, 82;--pst-color-danger: 230, 101, 129;--pst-color-admonition-warning: var(--pst-color-danger);--pst-color-link: 0, 113, 188}body{padding-top:0px !important}body img{max-width:100%}code{font-size:87.5% !important}pre{border-radius:.4em}pre,div[class*="highlight-"]{clear:none}dt:target,span.highlighted{background-color:#fbe54e}.onlyprint{display:none}main.bd-content{padding-top:3em !important;padding-bottom:0px !important}main.bd-content #main-content,main.bd-content #print-main-content{padding-top:1.5em}main.bd-content #main-content a.headerlink,main.bd-content #print-main-content 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#print-main-content dl.function dt .btn .headerlink,main.bd-content #print-main-content dl.decorator dt .btn .headerlink,main.bd-content #print-main-content dl.data dt .btn .headerlink,main.bd-content #print-main-content dl.method dt .btn .headerlink,main.bd-content #print-main-content dl.attribute dt .btn .headerlink{display:inline}main.bd-content #main-content dl.module dt .btn .fa-large.headerlink,main.bd-content #main-content dl.class dt .btn .fa-large.headerlink,main.bd-content #main-content dl.exception dt .btn .fa-large.headerlink,main.bd-content #main-content dl.function dt .btn .fa-large.headerlink,main.bd-content #main-content dl.decorator dt .btn .fa-large.headerlink,main.bd-content #main-content dl.data dt .btn .fa-large.headerlink,main.bd-content #main-content dl.method dt .btn .fa-large.headerlink,main.bd-content #main-content dl.attribute dt .btn .fa-large.headerlink,main.bd-content #print-main-content dl.module dt .btn .fa-large.headerlink,main.bd-content #print-main-content dl.class dt .btn .fa-large.headerlink,main.bd-content #print-main-content dl.exception dt .btn .fa-large.headerlink,main.bd-content #print-main-content dl.function dt .btn .fa-large.headerlink,main.bd-content #print-main-content dl.decorator dt .btn .fa-large.headerlink,main.bd-content #print-main-content dl.data dt .btn .fa-large.headerlink,main.bd-content #print-main-content dl.method dt .btn .fa-large.headerlink,main.bd-content #print-main-content dl.attribute dt .btn .fa-large.headerlink{line-height:.9em}main.bd-content #main-content dl.module dt .btn .fa-spin.headerlink,main.bd-content #main-content dl.class dt .btn .fa-spin.headerlink,main.bd-content #main-content dl.exception dt .btn .fa-spin.headerlink,main.bd-content #main-content dl.function dt .btn .fa-spin.headerlink,main.bd-content #main-content dl.decorator dt .btn .fa-spin.headerlink,main.bd-content #main-content dl.data dt .btn .fa-spin.headerlink,main.bd-content #main-content dl.method dt .btn .fa-spin.headerlink,main.bd-content #main-content dl.attribute dt .btn .fa-spin.headerlink,main.bd-content #print-main-content dl.module dt .btn .fa-spin.headerlink,main.bd-content #print-main-content dl.class dt .btn .fa-spin.headerlink,main.bd-content #print-main-content dl.exception dt .btn .fa-spin.headerlink,main.bd-content #print-main-content dl.function dt .btn .fa-spin.headerlink,main.bd-content #print-main-content dl.decorator dt .btn .fa-spin.headerlink,main.bd-content #print-main-content dl.data dt .btn .fa-spin.headerlink,main.bd-content #print-main-content dl.method dt .btn .fa-spin.headerlink,main.bd-content #print-main-content dl.attribute dt .btn .fa-spin.headerlink{display:inline-block}main.bd-content #main-content dl.module dt .nav .headerlink,main.bd-content #main-content dl.class dt .nav .headerlink,main.bd-content #main-content dl.exception dt .nav .headerlink,main.bd-content #main-content dl.function dt .nav .headerlink,main.bd-content #main-content dl.decorator dt .nav .headerlink,main.bd-content #main-content dl.data dt .nav .headerlink,main.bd-content #main-content dl.method dt .nav .headerlink,main.bd-content #main-content dl.attribute dt .nav .headerlink,main.bd-content #print-main-content dl.module dt .nav .headerlink,main.bd-content #print-main-content dl.class dt .nav .headerlink,main.bd-content #print-main-content dl.exception dt .nav .headerlink,main.bd-content #print-main-content dl.function dt .nav .headerlink,main.bd-content #print-main-content dl.decorator dt .nav .headerlink,main.bd-content #print-main-content dl.data dt .nav .headerlink,main.bd-content #print-main-content dl.method dt .nav .headerlink,main.bd-content #print-main-content dl.attribute dt .nav .headerlink{display:inline}main.bd-content #main-content dl.module dt .nav .fa-large.headerlink,main.bd-content #main-content dl.class dt .nav .fa-large.headerlink,main.bd-content #main-content dl.exception dt .nav .fa-large.headerlink,main.bd-content #main-content dl.function dt .nav .fa-large.headerlink,main.bd-content #main-content dl.decorator dt .nav .fa-large.headerlink,main.bd-content #main-content dl.data dt .nav .fa-large.headerlink,main.bd-content #main-content dl.method dt .nav .fa-large.headerlink,main.bd-content #main-content dl.attribute dt .nav .fa-large.headerlink,main.bd-content #print-main-content dl.module dt .nav .fa-large.headerlink,main.bd-content #print-main-content dl.class dt .nav .fa-large.headerlink,main.bd-content #print-main-content dl.exception dt .nav .fa-large.headerlink,main.bd-content #print-main-content dl.function dt .nav .fa-large.headerlink,main.bd-content #print-main-content dl.decorator dt .nav .fa-large.headerlink,main.bd-content #print-main-content dl.data dt .nav .fa-large.headerlink,main.bd-content #print-main-content dl.method dt .nav .fa-large.headerlink,main.bd-content #print-main-content dl.attribute dt .nav .fa-large.headerlink{line-height:.9em}main.bd-content #main-content dl.module dt .nav .fa-spin.headerlink,main.bd-content #main-content dl.class dt .nav .fa-spin.headerlink,main.bd-content #main-content dl.exception dt .nav .fa-spin.headerlink,main.bd-content #main-content dl.function dt .nav .fa-spin.headerlink,main.bd-content #main-content dl.decorator dt .nav .fa-spin.headerlink,main.bd-content #main-content dl.data dt .nav .fa-spin.headerlink,main.bd-content #main-content dl.method dt .nav .fa-spin.headerlink,main.bd-content #main-content dl.attribute dt .nav .fa-spin.headerlink,main.bd-content #print-main-content dl.module dt .nav .fa-spin.headerlink,main.bd-content #print-main-content dl.class dt .nav .fa-spin.headerlink,main.bd-content #print-main-content dl.exception dt .nav .fa-spin.headerlink,main.bd-content #print-main-content dl.function dt .nav .fa-spin.headerlink,main.bd-content #print-main-content dl.decorator dt .nav .fa-spin.headerlink,main.bd-content #print-main-content dl.data dt .nav .fa-spin.headerlink,main.bd-content #print-main-content dl.method dt .nav .fa-spin.headerlink,main.bd-content #print-main-content dl.attribute dt .nav .fa-spin.headerlink{display:inline-block}main.bd-content #main-content dl.module dt .btn.headerlink:before,main.bd-content #main-content dl.class dt .btn.headerlink:before,main.bd-content #main-content dl.exception dt .btn.headerlink:before,main.bd-content #main-content dl.function dt .btn.headerlink:before,main.bd-content #main-content dl.decorator dt .btn.headerlink:before,main.bd-content #main-content dl.data dt .btn.headerlink:before,main.bd-content #main-content dl.method dt .btn.headerlink:before,main.bd-content #main-content dl.attribute dt .btn.headerlink:before,main.bd-content #print-main-content dl.module dt .btn.headerlink:before,main.bd-content #print-main-content dl.class dt .btn.headerlink:before,main.bd-content #print-main-content dl.exception dt .btn.headerlink:before,main.bd-content #print-main-content dl.function dt .btn.headerlink:before,main.bd-content #print-main-content dl.decorator dt .btn.headerlink:before,main.bd-content #print-main-content dl.data dt .btn.headerlink:before,main.bd-content #print-main-content dl.method dt .btn.headerlink:before,main.bd-content #print-main-content dl.attribute dt .btn.headerlink:before{opacity:.5;-webkit-transition:opacity .05s ease-in;-moz-transition:opacity .05s ease-in;transition:opacity .05s ease-in}main.bd-content #main-content dl.module dt .btn.headerlink:hover:before,main.bd-content #main-content dl.class dt .btn.headerlink:hover:before,main.bd-content #main-content dl.exception dt .btn.headerlink:hover:before,main.bd-content #main-content dl.function dt .btn.headerlink:hover:before,main.bd-content #main-content dl.decorator dt .btn.headerlink:hover:before,main.bd-content #main-content dl.data dt .btn.headerlink:hover:before,main.bd-content #main-content dl.method dt .btn.headerlink:hover:before,main.bd-content #main-content dl.attribute dt .btn.headerlink:hover:before,main.bd-content #print-main-content dl.module dt .btn.headerlink:hover:before,main.bd-content #print-main-content dl.class dt .btn.headerlink:hover:before,main.bd-content #print-main-content dl.exception dt .btn.headerlink:hover:before,main.bd-content #print-main-content dl.function dt .btn.headerlink:hover:before,main.bd-content #print-main-content dl.decorator dt .btn.headerlink:hover:before,main.bd-content #print-main-content dl.data dt .btn.headerlink:hover:before,main.bd-content #print-main-content dl.method dt .btn.headerlink:hover:before,main.bd-content #print-main-content dl.attribute dt .btn.headerlink:hover:before{opacity:1}main.bd-content #main-content dl.module dt .btn-mini .headerlink:before,main.bd-content #main-content dl.class dt .btn-mini .headerlink:before,main.bd-content #main-content dl.exception dt .btn-mini .headerlink:before,main.bd-content #main-content dl.function dt .btn-mini .headerlink:before,main.bd-content #main-content dl.decorator dt .btn-mini .headerlink:before,main.bd-content #main-content dl.data dt .btn-mini .headerlink:before,main.bd-content #main-content dl.method dt .btn-mini .headerlink:before,main.bd-content #main-content dl.attribute dt .btn-mini .headerlink:before,main.bd-content #print-main-content dl.module dt .btn-mini .headerlink:before,main.bd-content #print-main-content dl.class dt .btn-mini .headerlink:before,main.bd-content #print-main-content dl.exception dt .btn-mini .headerlink:before,main.bd-content #print-main-content dl.function dt .btn-mini .headerlink:before,main.bd-content #print-main-content dl.decorator dt .btn-mini .headerlink:before,main.bd-content #print-main-content dl.data dt .btn-mini .headerlink:before,main.bd-content #print-main-content dl.method dt .btn-mini .headerlink:before,main.bd-content #print-main-content dl.attribute dt .btn-mini .headerlink:before{font-size:14px;vertical-align:-15%}main.bd-content #main-content dl.module dt .rst-versions .rst-current-version .headerlink,main.bd-content #main-content dl.class dt .rst-versions .rst-current-version .headerlink,main.bd-content #main-content dl.exception dt .rst-versions .rst-current-version .headerlink,main.bd-content #main-content dl.function dt .rst-versions .rst-current-version .headerlink,main.bd-content #main-content dl.decorator dt .rst-versions .rst-current-version .headerlink,main.bd-content #main-content dl.data dt .rst-versions .rst-current-version .headerlink,main.bd-content #main-content dl.method dt .rst-versions .rst-current-version .headerlink,main.bd-content #main-content dl.attribute dt .rst-versions .rst-current-version .headerlink,main.bd-content #print-main-content dl.module dt .rst-versions .rst-current-version .headerlink,main.bd-content #print-main-content dl.class dt .rst-versions .rst-current-version .headerlink,main.bd-content #print-main-content dl.exception dt .rst-versions .rst-current-version .headerlink,main.bd-content #print-main-content dl.function dt .rst-versions .rst-current-version .headerlink,main.bd-content #print-main-content dl.decorator dt .rst-versions .rst-current-version .headerlink,main.bd-content #print-main-content dl.data dt .rst-versions .rst-current-version .headerlink,main.bd-content #print-main-content dl.method dt .rst-versions .rst-current-version .headerlink,main.bd-content #print-main-content dl.attribute dt .rst-versions .rst-current-version .headerlink{color:#fcfcfc}main.bd-content #main-content dl.module dt:hover .headerlink:after,main.bd-content #main-content dl.class dt:hover .headerlink:after,main.bd-content #main-content dl.exception dt:hover .headerlink:after,main.bd-content #main-content dl.function dt:hover .headerlink:after,main.bd-content #main-content dl.decorator dt:hover .headerlink:after,main.bd-content #main-content dl.data dt:hover .headerlink:after,main.bd-content #main-content dl.method dt:hover .headerlink:after,main.bd-content #main-content dl.attribute dt:hover .headerlink:after,main.bd-content #print-main-content dl.module dt:hover .headerlink:after,main.bd-content #print-main-content dl.class dt:hover .headerlink:after,main.bd-content #print-main-content dl.exception dt:hover .headerlink:after,main.bd-content #print-main-content dl.function dt:hover .headerlink:after,main.bd-content #print-main-content dl.decorator dt:hover .headerlink:after,main.bd-content #print-main-content dl.data dt:hover .headerlink:after,main.bd-content #print-main-content dl.method dt:hover .headerlink:after,main.bd-content #print-main-content dl.attribute dt:hover .headerlink:after{visibility:visible}main.bd-content #main-content dl.module p,main.bd-content #main-content dl.class p,main.bd-content #main-content dl.exception p,main.bd-content #main-content dl.function p,main.bd-content #main-content dl.decorator p,main.bd-content #main-content dl.data p,main.bd-content #main-content dl.method p,main.bd-content #main-content dl.attribute p,main.bd-content #print-main-content dl.module p,main.bd-content #print-main-content dl.class p,main.bd-content #print-main-content dl.exception p,main.bd-content #print-main-content dl.function p,main.bd-content #print-main-content dl.decorator p,main.bd-content #print-main-content dl.data p,main.bd-content #print-main-content dl.method p,main.bd-content #print-main-content dl.attribute p{margin-bottom:12px !important}main.bd-content #main-content dl.module table,main.bd-content #main-content dl.class table,main.bd-content #main-content dl.exception table,main.bd-content #main-content dl.function table,main.bd-content #main-content dl.decorator table,main.bd-content #main-content dl.data table,main.bd-content #main-content dl.method table,main.bd-content #main-content dl.attribute table,main.bd-content #print-main-content dl.module table,main.bd-content #print-main-content dl.class table,main.bd-content #print-main-content dl.exception table,main.bd-content #print-main-content dl.function table,main.bd-content #print-main-content dl.decorator table,main.bd-content #print-main-content dl.data table,main.bd-content #print-main-content dl.method table,main.bd-content #print-main-content dl.attribute table{margin-bottom:12px !important}main.bd-content #main-content dl.module ul,main.bd-content #main-content dl.class ul,main.bd-content #main-content dl.exception ul,main.bd-content #main-content dl.function ul,main.bd-content #main-content dl.decorator ul,main.bd-content #main-content dl.data ul,main.bd-content #main-content dl.method ul,main.bd-content #main-content dl.attribute ul,main.bd-content #print-main-content dl.module ul,main.bd-content #print-main-content dl.class ul,main.bd-content #print-main-content dl.exception ul,main.bd-content #print-main-content dl.function ul,main.bd-content #print-main-content dl.decorator ul,main.bd-content #print-main-content dl.data ul,main.bd-content #print-main-content dl.method ul,main.bd-content #print-main-content dl.attribute ul{margin-bottom:12px !important}main.bd-content #main-content dl.module ol,main.bd-content #main-content dl.class ol,main.bd-content #main-content dl.exception ol,main.bd-content #main-content dl.function ol,main.bd-content #main-content dl.decorator ol,main.bd-content #main-content dl.data ol,main.bd-content #main-content dl.method ol,main.bd-content #main-content dl.attribute ol,main.bd-content #print-main-content dl.module ol,main.bd-content #print-main-content dl.class ol,main.bd-content #print-main-content dl.exception ol,main.bd-content #print-main-content dl.function ol,main.bd-content #print-main-content dl.decorator ol,main.bd-content #print-main-content dl.data ol,main.bd-content #print-main-content dl.method ol,main.bd-content #print-main-content dl.attribute ol{margin-bottom:12px !important}main.bd-content #main-content dl.module dd,main.bd-content #main-content dl.class dd,main.bd-content #main-content dl.exception dd,main.bd-content #main-content dl.function dd,main.bd-content #main-content dl.decorator dd,main.bd-content #main-content dl.data dd,main.bd-content #main-content dl.method dd,main.bd-content #main-content dl.attribute dd,main.bd-content #print-main-content dl.module dd,main.bd-content #print-main-content dl.class dd,main.bd-content #print-main-content dl.exception dd,main.bd-content #print-main-content dl.function dd,main.bd-content #print-main-content dl.decorator dd,main.bd-content #print-main-content dl.data dd,main.bd-content #print-main-content dl.method dd,main.bd-content #print-main-content dl.attribute dd{margin:0 0 12px 24px}main.bd-content #main-content dl.module:not(.docutils),main.bd-content #main-content dl.class:not(.docutils),main.bd-content #main-content dl.exception:not(.docutils),main.bd-content #main-content dl.function:not(.docutils),main.bd-content #main-content dl.decorator:not(.docutils),main.bd-content #main-content dl.data:not(.docutils),main.bd-content #main-content dl.method:not(.docutils),main.bd-content #main-content dl.attribute:not(.docutils),main.bd-content #print-main-content dl.module:not(.docutils),main.bd-content #print-main-content dl.class:not(.docutils),main.bd-content #print-main-content dl.exception:not(.docutils),main.bd-content #print-main-content dl.function:not(.docutils),main.bd-content #print-main-content dl.decorator:not(.docutils),main.bd-content #print-main-content dl.data:not(.docutils),main.bd-content #print-main-content dl.method:not(.docutils),main.bd-content #print-main-content dl.attribute:not(.docutils){margin-bottom:24px}main.bd-content #main-content dl.module:not(.docutils) dt,main.bd-content #main-content dl.class:not(.docutils) dt,main.bd-content #main-content dl.exception:not(.docutils) dt,main.bd-content #main-content dl.function:not(.docutils) dt,main.bd-content #main-content dl.decorator:not(.docutils) dt,main.bd-content #main-content dl.data:not(.docutils) dt,main.bd-content #main-content dl.method:not(.docutils) dt,main.bd-content #main-content dl.attribute:not(.docutils) dt,main.bd-content #print-main-content dl.module:not(.docutils) dt,main.bd-content #print-main-content dl.class:not(.docutils) dt,main.bd-content #print-main-content dl.exception:not(.docutils) dt,main.bd-content #print-main-content dl.function:not(.docutils) dt,main.bd-content #print-main-content dl.decorator:not(.docutils) dt,main.bd-content #print-main-content dl.data:not(.docutils) dt,main.bd-content #print-main-content dl.method:not(.docutils) dt,main.bd-content #print-main-content dl.attribute:not(.docutils) dt{display:table;margin:6px 0;font-size:90%;line-height:normal;background:#e7f2fa;color:#2980B9;border-top:solid 3px #6ab0de;padding:6px;position:relative}main.bd-content #main-content dl.module:not(.docutils) dt:before,main.bd-content #main-content dl.class:not(.docutils) dt:before,main.bd-content #main-content dl.exception:not(.docutils) dt:before,main.bd-content #main-content dl.function:not(.docutils) dt:before,main.bd-content #main-content dl.decorator:not(.docutils) dt:before,main.bd-content #main-content dl.data:not(.docutils) dt:before,main.bd-content #main-content dl.method:not(.docutils) dt:before,main.bd-content #main-content dl.attribute:not(.docutils) dt:before,main.bd-content #print-main-content dl.module:not(.docutils) dt:before,main.bd-content #print-main-content dl.class:not(.docutils) dt:before,main.bd-content #print-main-content dl.exception:not(.docutils) dt:before,main.bd-content #print-main-content dl.function:not(.docutils) dt:before,main.bd-content #print-main-content dl.decorator:not(.docutils) dt:before,main.bd-content #print-main-content dl.data:not(.docutils) dt:before,main.bd-content #print-main-content dl.method:not(.docutils) dt:before,main.bd-content #print-main-content dl.attribute:not(.docutils) dt:before{color:#6ab0de}main.bd-content #main-content dl.module:not(.docutils) dt .headerlink,main.bd-content #main-content dl.class:not(.docutils) dt .headerlink,main.bd-content #main-content dl.exception:not(.docutils) dt .headerlink,main.bd-content #main-content dl.function:not(.docutils) dt .headerlink,main.bd-content #main-content dl.decorator:not(.docutils) dt .headerlink,main.bd-content #main-content dl.data:not(.docutils) dt .headerlink,main.bd-content #main-content dl.method:not(.docutils) dt .headerlink,main.bd-content #main-content dl.attribute:not(.docutils) dt .headerlink,main.bd-content #print-main-content dl.module:not(.docutils) dt .headerlink,main.bd-content #print-main-content dl.class:not(.docutils) dt .headerlink,main.bd-content #print-main-content dl.exception:not(.docutils) dt .headerlink,main.bd-content #print-main-content dl.function:not(.docutils) dt .headerlink,main.bd-content #print-main-content dl.decorator:not(.docutils) dt .headerlink,main.bd-content #print-main-content dl.data:not(.docutils) dt .headerlink,main.bd-content #print-main-content dl.method:not(.docutils) dt .headerlink,main.bd-content #print-main-content dl.attribute:not(.docutils) dt .headerlink{color:#404040;font-size:100% !important}main.bd-content #main-content dl.module:not(.docutils) dt:first-child,main.bd-content #main-content dl.class:not(.docutils) dt:first-child,main.bd-content #main-content dl.exception:not(.docutils) dt:first-child,main.bd-content #main-content dl.function:not(.docutils) dt:first-child,main.bd-content #main-content dl.decorator:not(.docutils) dt:first-child,main.bd-content #main-content dl.data:not(.docutils) dt:first-child,main.bd-content #main-content dl.method:not(.docutils) dt:first-child,main.bd-content #main-content dl.attribute:not(.docutils) dt:first-child,main.bd-content #print-main-content dl.module:not(.docutils) dt:first-child,main.bd-content #print-main-content dl.class:not(.docutils) dt:first-child,main.bd-content #print-main-content dl.exception:not(.docutils) dt:first-child,main.bd-content #print-main-content dl.function:not(.docutils) dt:first-child,main.bd-content #print-main-content dl.decorator:not(.docutils) dt:first-child,main.bd-content #print-main-content dl.data:not(.docutils) dt:first-child,main.bd-content #print-main-content dl.method:not(.docutils) dt:first-child,main.bd-content #print-main-content dl.attribute:not(.docutils) dt:first-child{margin-top:0}main.bd-content #main-content dl.module:not(.docutils) dl dt,main.bd-content #main-content dl.class:not(.docutils) dl dt,main.bd-content #main-content dl.exception:not(.docutils) dl dt,main.bd-content #main-content dl.function:not(.docutils) dl dt,main.bd-content #main-content dl.decorator:not(.docutils) dl dt,main.bd-content #main-content dl.data:not(.docutils) dl dt,main.bd-content #main-content dl.method:not(.docutils) dl dt,main.bd-content #main-content dl.attribute:not(.docutils) dl dt,main.bd-content #print-main-content dl.module:not(.docutils) dl dt,main.bd-content #print-main-content dl.class:not(.docutils) dl dt,main.bd-content #print-main-content dl.exception:not(.docutils) dl dt,main.bd-content #print-main-content dl.function:not(.docutils) dl dt,main.bd-content #print-main-content dl.decorator:not(.docutils) dl dt,main.bd-content #print-main-content dl.data:not(.docutils) dl dt,main.bd-content #print-main-content dl.method:not(.docutils) dl dt,main.bd-content #print-main-content dl.attribute:not(.docutils) dl dt{margin-bottom:6px;border:none;border-left:solid 3px #ccc;background:#f0f0f0;color:#555}main.bd-content #main-content dl.module:not(.docutils) dl dt .headerlink,main.bd-content #main-content dl.class:not(.docutils) dl dt .headerlink,main.bd-content #main-content dl.exception:not(.docutils) dl dt .headerlink,main.bd-content #main-content dl.function:not(.docutils) dl dt .headerlink,main.bd-content #main-content dl.decorator:not(.docutils) dl dt .headerlink,main.bd-content #main-content dl.data:not(.docutils) dl dt .headerlink,main.bd-content #main-content dl.method:not(.docutils) dl dt .headerlink,main.bd-content #main-content dl.attribute:not(.docutils) dl dt .headerlink,main.bd-content #print-main-content dl.module:not(.docutils) dl dt .headerlink,main.bd-content #print-main-content dl.class:not(.docutils) dl dt .headerlink,main.bd-content #print-main-content dl.exception:not(.docutils) dl dt .headerlink,main.bd-content #print-main-content dl.function:not(.docutils) dl dt .headerlink,main.bd-content #print-main-content dl.decorator:not(.docutils) dl dt .headerlink,main.bd-content #print-main-content dl.data:not(.docutils) dl dt .headerlink,main.bd-content #print-main-content dl.method:not(.docutils) dl dt .headerlink,main.bd-content #print-main-content dl.attribute:not(.docutils) dl dt .headerlink{color:#404040;font-size:100% !important}main.bd-content #main-content dl.module:not(.docutils) tt,main.bd-content #main-content dl.class:not(.docutils) tt,main.bd-content #main-content dl.exception:not(.docutils) tt,main.bd-content #main-content dl.function:not(.docutils) tt,main.bd-content #main-content dl.decorator:not(.docutils) tt,main.bd-content #main-content 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diff --git a/_preview/40/_static/sphinx-book-theme.d59cb220de22ca1c485ebbdc042f0030.js b/_preview/40/_static/sphinx-book-theme.d59cb220de22ca1c485ebbdc042f0030.js
new file mode 100644
index 0000000..d06a7cc
--- /dev/null
+++ b/_preview/40/_static/sphinx-book-theme.d59cb220de22ca1c485ebbdc042f0030.js
@@ -0,0 +1,22 @@
+var initTriggerNavBar=()=>{if($(window).width()<768){$("#navbar-toggler").trigger("click")}}
+var scrollToActive=()=>{var navbar=document.getElementById('site-navigation')
+var active_pages=navbar.querySelectorAll(".active")
+var active_page=active_pages[active_pages.length-1]
+if(active_page!==undefined&&active_page.offsetTop>($(window).height()*.5)){navbar.scrollTop=active_page.offsetTop-($(window).height()*.2)}}
+var sbRunWhenDOMLoaded=cb=>{if(document.readyState!='loading'){cb()}else if(document.addEventListener){document.addEventListener('DOMContentLoaded',cb)}else{document.attachEvent('onreadystatechange',function(){if(document.readyState=='complete')cb()})}}
+function toggleFullScreen(){var navToggler=$("#navbar-toggler");if(!document.fullscreenElement){document.documentElement.requestFullscreen();if(!navToggler.hasClass("collapsed")){navToggler.click();}}else{if(document.exitFullscreen){document.exitFullscreen();if(navToggler.hasClass("collapsed")){navToggler.click();}}}}
+var initTooltips=()=>{$(document).ready(function(){$('[data-toggle="tooltip"]').tooltip();});}
+var initTocHide=()=>{var scrollTimeout;var throttle=200;var tocHeight=$("#bd-toc-nav").outerHeight(true)+$(".bd-toc").outerHeight(true);var hideTocAfter=tocHeight+200;var checkTocScroll=function(){var margin_content=$(".margin, .tag_margin, .full-width, .full_width, .tag_full-width, .tag_full_width, .sidebar, .tag_sidebar, .popout, .tag_popout");margin_content.each((index,item)=>{var topOffset=$(item).offset().top-$(window).scrollTop();var bottomOffset=topOffset+$(item).outerHeight(true);var removeToc=(topOffset<hideTocAfter&&bottomOffset>=0);if(removeToc&&window.pageYOffset>20){$("div.bd-toc").removeClass("show")
+return false}else{$("div.bd-toc").addClass("show")};})};var manageScrolledClassOnBody=function(){if(window.scrollY>0){document.body.classList.add("scrolled");}else{document.body.classList.remove("scrolled");}}
+$(window).on('scroll',function(){if(!scrollTimeout){scrollTimeout=setTimeout(function(){checkTocScroll();manageScrolledClassOnBody();scrollTimeout=null;},throttle);}});}
+var printPdf=(el)=>{let tooltipID=$(el).attr("aria-describedby")
+let tooltipTextDiv=$("#"+tooltipID).detach()
+window.print()
+$("body").append(tooltipTextDiv)}
+var initThebeSBT=()=>{var title=$("div.section h1")[0]
+if(!$(title).next().hasClass("thebe-launch-button")){$("<button class='thebe-launch-button'></button>").insertAfter($(title))}
+initThebe();}
+sbRunWhenDOMLoaded(initTooltips)
+sbRunWhenDOMLoaded(initTriggerNavBar)
+sbRunWhenDOMLoaded(scrollToActive)
+sbRunWhenDOMLoaded(initTocHide)
diff --git a/_preview/40/_static/sphinx-book-theme.e2363ea40746bee74734a24ffefccd78.css b/_preview/40/_static/sphinx-book-theme.e2363ea40746bee74734a24ffefccd78.css
new file mode 100644
index 0000000..6e5b23f
--- /dev/null
+++ b/_preview/40/_static/sphinx-book-theme.e2363ea40746bee74734a24ffefccd78.css
@@ -0,0 +1,5 @@
+/*! sphinx-book-theme CSS
+ * BSD 3-Clause License
+ * Copyright (c) 2020, EBP
+ * All rights reserved.
+ */:root{--color-primary: 0, 123, 255;--color-info: 255, 193, 7;--color-warning: 253, 126, 20;--color-danger: 220, 53, 69;--pst-color-link: 0, 113, 188}body{padding-top:0px !important}body img{max-width:100%}code{font-size:87.5% !important}pre{border-radius:.4em}dt:target,span.highlighted{background-color:#fbe54e}main.bd-content{padding-top:3em !important;padding-bottom:0px !important}main.bd-content #main-content{padding-top:1.5em}main.bd-content #main-content a.headerlink{opacity:0;margin-left:.2em}main.bd-content #main-content a.headerlink:hover{background-color:transparent;color:rgba(var(--pst-color-link), 1);opacity:1 !important}main.bd-content #main-content a,main.bd-content #main-content a:visited{color:rgba(var(--pst-color-link), 1)}main.bd-content #main-content h1,main.bd-content #main-content h2,main.bd-content #main-content h3,main.bd-content #main-content h4,main.bd-content #main-content h5{color:black}main.bd-content #main-content h1:hover a.headerlink,main.bd-content 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diff --git a/_preview/40/_static/sphinx-pythia-theme.min.css b/_preview/40/_static/sphinx-pythia-theme.min.css
new file mode 100644
index 0000000..29e0233
--- /dev/null
+++ b/_preview/40/_static/sphinx-pythia-theme.min.css
@@ -0,0 +1 @@
+@import url(sphinx-book-theme.css);:root{--spt-font-body: 'Poppins';--spt-font-headings: 'Poppins';--spt-font-footnote: 'Cormorant';--spt-color-gray-100: 248, 249, 250;--spt-color-gray-200: 233, 236, 239;--spt-color-gray-300: 222, 226, 230;--spt-color-gray-400: 206, 212, 218;--spt-color-gray-500: 173, 181, 189;--spt-color-gray-600: 108, 117, 125;--spt-color-gray-700: 73, 80, 87;--spt-color-gray-800: 52, 58, 64;--spt-color-gray-900: 33, 37, 41;--spt-color-light: var(--spt-color-gray-100);--spt-color-dark: var(--spt-color-gray-800);--spt-color-green: 0, 121, 124;--spt-color-green-lighter: 20, 141, 144;--spt-color-green-lightest: 130, 231, 234;--spt-color-blue: 26, 101, 143;--spt-color-blue-lighter: 46, 121, 163;--spt-color-blue-lightest: 156, 191, 213;--spt-color-deep-blue: 1, 33, 105;--spt-color-green-highlight: 168, 199, 0;--pst-color-primary: var(--spt-color-blue);--pst-color-primary-hover: var(--spt-color-blue-lighter);--pst-color-link: var(--pst-color-primary);--pst-color-link-hover: var(--pst-color-primary);--pst-color-headerlink: var(--spt-color-gray-500);--pst-color-headerlink-hover: var(--spt-color-gray-500);--tabs-size-label: 0.8rem !important;--tabs-color-label-active: rgba(var(--pst-color-primary), 1) !important;--tabs-color-label-inactive: rgba(var(--spt-color-blue-lightest), 1) !important}body{font-family:var(--spt-font-body),sans-serif}html{scroll-behavior:smooth;scroll-padding-top:128px}.admonition.alert-info,div.admonition.alert-info{border-color:#0c5460 !important}.admonition.alert-info .admonition-title::before,div.admonition.alert-info .admonition-title::before{color:#0c5460 !important}.admonition.alert-success,div.admonition.alert-success{border-color:#155724 !important}.admonition.alert-success .admonition-title::before,div.admonition.alert-success .admonition-title::before{color:#155724 !important}.admonition.alert-warning,div.admonition.alert-warning{border-color:#856404 !important}.admonition.alert-warning .admonition-title::before,div.admonition.alert-warning .admonition-title::before{color:#856404 !important}.admonition.alert-danger,div.admonition.alert-danger{border-color:#721c24 !important}.admonition.alert-danger .admonition-title::before,div.admonition.alert-danger .admonition-title::before{color:#721c24 !important}.bg-primary{background-color:rgba(var(--pst-color-primary), 1) !important;color:white !important}.btn-primary{background-color:rgba(var(--pst-color-primary), 1) !important;border-color:rgba(var(--pst-color-primary), 1) !important;color:white !important}.btn-primary:hover{background-color:rgba(var(--pst-color-primary-hover), 1) !important;color:white !important}.btn-outline-primary{border-color:rgba(var(--pst-color-primary), 1) !important;color:rgba(var(--pst-color-primary), 1) !important}.btn-outline-primary:hover,.show>.btn-outline-primary.dropdown-toggle{background-color:rgba(var(--pst-color-primary), 1) !important;color:white !important}.btn-link{color:rgba(var(--pst-color-primary), 1) !important}.display-1{font-size:5rem !important}.display-2{font-size:3rem !important}.display-3{font-size:2rem !important}.display-4{font-size:1.6667rem !important}.display-5{font-size:1.3333rem !important}.display-6{font-size:1rem !important}.form-control:focus{outline:none !important;box-shadow:none !important}.navbar-brand{padding:.75rem 0 !important}.row{margin-left:0 !important;margin-right:0 !important}a.badge{text-decoration:none !important}a.navbar-brand img{vertical-align:middle !important}body>div.container-fluid,body>div.container-xl{padding-right:0;padding-left:0}i.fab,i.far,i.fas{font-size:70%}a.headerlink i.fab,a.headerlink i.far,a.headerlink i.fas{position:absolute;top:50%;transform:translateY(-50%)}a.headerlink{position:relative;text-decoration:none;font-size:unset !important;padding:0 0.7rem !important}a.headerlink:hover{color:rgba(var(--spt-color-gray-500), 1);background-color:transparent}div.highlight pre{border:1px solid rgba(var(--spt-color-gray-300), 1) !important;border-radius:4px !important;background-color:rgba(var(--spt-color-gray-200), 1) !important}.bd-sidebar .nav li>a{padding-top:0.1rem;padding-bottom:0.1rem}.bd-toc nav>.nav{border-left:1px solid #eee;border-bottom:1px solid #eee;border-radius:0 0 0 6px;padding-bottom:0.5em}.prev-next-area{margin:2rem auto 0 auto;border-top:1px solid rgba(var(--spt-color-gray-300), 1);max-width:calc(0.5 * (var(--breakpoint-md) + var(--breakpoint-lg)))}.prev-next-area i{font-size:1.1rem;color:rgba(var(--spt-color-gray-600), 1)}.prev-next-area a p.prev-next-title{font-size:1rem;font-weight:600;color:rgba(var(--spt-color-gray-600), 1)}#banner{margin-top:var(--pst-header-height) !important}#site-navigation{top:var(--pst-header-height) !important;height:calc(100vh - var(--pst-header-height)) !important;padding-top:0}#main-content{min-height:calc(100vh - var(--pst-header-height))}.topbar{top:var(--pst-header-height) !important;padding:0 !important}.topbar-main button:focus{outline:none !important}.cell .cell_input,.cell .cell_output{padding:0 !important}.cell .cell_input{border:1px solid rgba(var(--spt-color-gray-300), 1) !important;border-radius:4px !important;border-left-color:rgba(var(--pst-color-primary), 1) !important;border-left-width:medium !important;background-color:rgba(var(--spt-color-gray-200), 1) !important}.cell .cell_input pre{border:none !important;background-color:rgba(var(--spt-color-gray-200), 1) !important}.cell .cell_output{border:none !important}.cell .cell_output pre{border:1px solid rgba(var(--spt-color-gray-300), 1) !important;border-radius:4px !important;background-color:rgba(var(--spt-color-gray-200), 1) !important}.tabbed-content{box-shadow:0 -0.0625rem var(--tabs-color-overline) !important;padding-bottom:0 !important}.tabbed-set>label{padding:0 1rem !important;margin:0 !important}.thebe-launch-button{height:2.2em !important;font-size:.8em !important;border:1px solid rgba(var(--spt-color-gray-600), 1) !important;border-radius:4px !important;color:rgba(var(--spt-color-gray-600), 1)}#shim{padding:0;margin-top:var(--pst-header-height)}#navbar-main{z-index:5000;padding-left:15px;padding-right:15px}#navbar-main .container-xl{padding:0}#navbar-icon-links i:before{color:var(--spt-color-light) !important}main.standalone-main{padding:0 !important;background-color:white}main.standalone-main div.sectionwrapper-1,main.standalone-main div.sectionwrapper-2{color:rgba(var(--spt-color-dark), 1)}main.standalone-main div.section-1,main.standalone-main div.section-2{position:relative;padding-top:1rem;padding-bottom:1rem;max-width:calc(0.5 * (var(--breakpoint-md) + var(--breakpoint-lg)))}main.standalone-main div.section-1 h6,main.standalone-main div.section-1 .h6,main.standalone-main div.section-1 h5,main.standalone-main div.section-1 .h5,main.standalone-main div.section-1 h4,main.standalone-main div.section-1 .h4,main.standalone-main div.section-1 h3,main.standalone-main div.section-1 .h3,main.standalone-main div.section-1 h2,main.standalone-main div.section-1 .h2,main.standalone-main div.section-1 h1,main.standalone-main div.section-1 .h1,main.standalone-main div.section-2 h6,main.standalone-main div.section-2 .h6,main.standalone-main div.section-2 h5,main.standalone-main div.section-2 .h5,main.standalone-main div.section-2 h4,main.standalone-main div.section-2 .h4,main.standalone-main div.section-2 h3,main.standalone-main div.section-2 .h3,main.standalone-main div.section-2 h2,main.standalone-main div.section-2 .h2,main.standalone-main div.section-2 h1,main.standalone-main div.section-2 .h1{margin-top:0;margin-bottom:0.5rem}main.standalone-main div.section-1 h3,main.standalone-main div.section-1 .h3,main.standalone-main div.section-1 h4,main.standalone-main div.section-1 .h4,main.standalone-main div.section-1 h5,main.standalone-main div.section-1 .h5,main.standalone-main div.section-1 h6,main.standalone-main div.section-1 .h6,main.standalone-main div.section-2 h3,main.standalone-main div.section-2 .h3,main.standalone-main div.section-2 h4,main.standalone-main div.section-2 .h4,main.standalone-main div.section-2 h5,main.standalone-main div.section-2 .h5,main.standalone-main div.section-2 h6,main.standalone-main div.section-2 .h6{padding:1rem 0}main.standalone-main div.section-title-wrapper{display:flex;justify-content:flex-start}main.standalone-main div.section-title{padding:0 4rem 0.1rem 0;margin:0 0 1.6rem 0;border-bottom:2px solid rgba(var(--spt-color-deep-blue), 1)}main.banner-main{padding:0 !important}main.banner-main #main-content{padding:0 !important}main.banner-main div.sectionwrapper-1{position:relative;background-size:cover;background-position:center center;color:rgba(var(--spt-color-light), 1);background-color:rgba(var(--spt-color-gray-700), 1)}main.banner-main div.sectionwrapper-1 div.section-banner-caption{position:absolute;right:0;bottom:0;font-size:0.8rem;opacity:0.6;padding-right:0.5rem}main.banner-main div.sectionwrapper-2{color:rgba(var(--spt-color-dark), 1);background-color:rgba(var(--spt-color-light), 1)}main.banner-main div.sectionwrapper-2:nth-child(even){background-color:rgba(var(--spt-color-gray-300), 1)}main.banner-main div.section-1,main.banner-main div.section-2{position:relative;padding-top:7rem;padding-bottom:7rem;max-width:calc(0.5 * (var(--breakpoint-md) + var(--breakpoint-lg)))}main.banner-main div.section-1 h3,main.banner-main div.section-1 h4,main.banner-main div.section-1 h5,main.banner-main div.section-1 h6,main.banner-main div.section-2 h3,main.banner-main div.section-2 h4,main.banner-main div.section-2 h5,main.banner-main div.section-2 h6{padding:2rem 0 1rem 0;text-align:center}main.banner-main div.section-title-wrapper{display:flex;justify-content:center}main.banner-main div.section-title{padding:0 4rem 1rem 4rem;margin-bottom:3rem;border-bottom:2px solid rgba(var(--spt-color-deep-blue), 1)}main.banner-main p{font-size:1.25rem;font-weight:300}main.banner-main div.section.dark-banner h1,main.banner-main div.section.dark-banner h2,main.banner-main div.section.dark-banner h3,main.banner-main div.section.dark-banner h4,main.banner-main div.section.dark-banner h5,main.banner-main div.section.dark-banner h6{color:var(--spt-color-light) !important}main.banner-main div.section.dark-banner p{color:var(--spt-color-light) !important}.footer{color:rgba(var(--spt-color-light), 1);font-size:0.8rem;font-family:var(--spt-font-footnote);padding:0}.footer h1,.footer h2,.footer h3,.footer h4,.footer h5,.footer h6,.footer p,.footer a{color:rgba(var(--spt-color-light), 1);font-family:var(--spt-font-footnote)}.footer h1,.footer h2,.footer h3,.footer h4,.footer h5,.footer h6{font-size:1rem;margin-bottom:5px}.footer p{font-size:0.8rem}.footer .footer-logos{background-color:rgba(var(--spt-color-gray-200), 1)}.footer .footer-info,.footer .footer-menu{color:rgba(var(--spt-color-gray-400), 1);background-color:rgba(var(--spt-color-dark), 1);padding-top:0.4rem;padding-bottom:0.4rem}.footer .footer-info li,.footer .footer-menu li{line-height:1rem;margin-bottom:5px}.footer .footer-extra{background-color:rgba(var(--spt-color-gray-700), 1);padding-top:1rem;padding-bottom:1rem}.footer .footer-extra img{height:60px}.iframe,.iframe-4x3,.iframe-16x9{position:relative;height:0;width:75%;margin-bottom:1rem;margin-left:auto;margin-right:auto}.iframe iframe,.iframe-4x3 iframe,.iframe-16x9 iframe{border:0;position:absolute;top:0;left:0;bottom:0;right:0;width:100%;height:100%}.iframe-16x9{padding-bottom:calc(0.75 * 56.25%)}.iframe-4x3{padding-bottom:calc(0.75 * 75%)}
diff --git a/_preview/40/_static/sphinx-pythia-theme.min.js b/_preview/40/_static/sphinx-pythia-theme.min.js
new file mode 100644
index 0000000..8b13789
--- /dev/null
+++ b/_preview/40/_static/sphinx-pythia-theme.min.js
@@ -0,0 +1 @@
+
diff --git a/_preview/40/_static/sphinx-thebe.css b/_preview/40/_static/sphinx-thebe.css
new file mode 100644
index 0000000..1da2793
--- /dev/null
+++ b/_preview/40/_static/sphinx-thebe.css
@@ -0,0 +1,129 @@
+/* Thebelab Buttons */
+.thebelab-button {
+  z-index: 999;
+  display: inline-block;
+  padding: 0.35em 1.2em;
+  margin: 0px 1px;
+  border-radius: 0.12em;
+  box-sizing: border-box;
+  text-decoration: none;
+  font-family: "Roboto", sans-serif;
+  font-weight: 300;
+  text-align: center;
+  transition: all 0.2s;
+  background-color: #dddddd;
+  border: 0.05em solid white;
+  color: #000000;
+}
+
+.thebelab-button:hover {
+  border: 0.05em solid black;
+  background-color: #fcfcfc;
+}
+
+.thebe-launch-button {
+  height: 2.2em;
+  font-size: 0.8em;
+  border: 1px black solid;
+}
+
+/* Thebelab Cell */
+.thebelab-cell pre {
+  background: none;
+}
+
+.thebelab-cell .thebelab-input {
+  padding-left: 1em;
+  margin-bottom: 0.5em;
+  margin-top: 0.5em;
+}
+
+.thebelab-cell .jp-OutputArea {
+  margin-top: 0.5em;
+  margin-left: 1em;
+}
+
+button.thebelab-button.thebelab-run-button {
+  margin-left: 1.5em;
+  margin-bottom: 0.5em;
+}
+
+/* Loading button */
+button.thebe-launch-button div.spinner {
+  float: left;
+  margin-right: 1em;
+}
+
+/* Remove the spinner when thebelab is ready */
+.thebe-launch-button.thebe-status-ready .spinner {
+  display: none;
+}
+
+.thebe-launch-button span.status {
+  font-family: monospace;
+  font-weight: bold;
+}
+
+.thebe-launch-button.thebe-status-ready span.status {
+  color: green;
+}
+
+.spinner {
+  height: 2em;
+  text-align: center;
+  font-size: 0.7em;
+}
+
+.spinner > div {
+  background-color: #f37726;
+  height: 100%;
+  width: 6px;
+  display: inline-block;
+
+  -webkit-animation: sk-stretchdelay 1.2s infinite ease-in-out;
+  animation: sk-stretchdelay 1.2s infinite ease-in-out;
+}
+
+.spinner .rect2 {
+  -webkit-animation-delay: -1.1s;
+  animation-delay: -1.1s;
+}
+
+.spinner .rect3 {
+  -webkit-animation-delay: -1s;
+  animation-delay: -1s;
+}
+
+.spinner .rect4 {
+  -webkit-animation-delay: -0.9s;
+  animation-delay: -0.9s;
+}
+
+.spinner .rect5 {
+  -webkit-animation-delay: -0.8s;
+  animation-delay: -0.8s;
+}
+
+@-webkit-keyframes sk-stretchdelay {
+  0%,
+  40%,
+  100% {
+    -webkit-transform: scaleY(0.4);
+  }
+  20% {
+    -webkit-transform: scaleY(1);
+  }
+}
+
+@keyframes sk-stretchdelay {
+  0%,
+  40%,
+  100% {
+    transform: scaleY(0.4);
+    -webkit-transform: scaleY(0.4);
+  }
+  20% {
+    transform: scaleY(1);
+    -webkit-transform: scaleY(1);
+  }
+}
diff --git a/_preview/40/_static/sphinx-thebe.js b/_preview/40/_static/sphinx-thebe.js
new file mode 100644
index 0000000..7626dbb
--- /dev/null
+++ b/_preview/40/_static/sphinx-thebe.js
@@ -0,0 +1,126 @@
+/**
+ * Add attributes to Thebe blocks to initialize thebe properly
+ */
+var configureThebe = () => {
+  // Load thebe config in case we want to update it as some point
+  console.log("[sphinx-thebe]: Loading thebe config...");
+  thebe_config = $('script[type="text/x-thebe-config"]')[0];
+
+  // If we already detect a Thebe cell, don't re-run
+  if (document.querySelectorAll("div.thebe-cell").length > 0) {
+    return;
+  }
+
+  // Update thebe buttons with loading message
+  $(".thebe-launch-button").each((ii, button) => {
+    button.innerHTML = `
+        <div class="spinner">
+            <div class="rect1"></div>
+            <div class="rect2"></div>
+            <div class="rect3"></div>
+            <div class="rect4"></div>
+        </div>
+        <span class="loading-text"></span>`;
+  });
+
+  // Set thebe event hooks
+  var thebeStatus;
+  thebelab.on("status", function (evt, data) {
+    console.log("Status changed:", data.status, data.message);
+
+    $(".thebe-launch-button ")
+      .removeClass("thebe-status-" + thebeStatus)
+      .addClass("thebe-status-" + data.status)
+      .find(".loading-text")
+      .html(
+        "<span class='launch_msg'>Launching from mybinder.org: </span><span class='status'>" +
+          data.status +
+          "</span>"
+      );
+
+    // Now update our thebe status
+    thebeStatus = data.status;
+
+    // Find any cells with an initialization tag and ask thebe to run them when ready
+    if (data.status === "ready") {
+      var thebeInitCells = document.querySelectorAll(
+        ".thebe-init, .tag_thebe-init"
+      );
+      thebeInitCells.forEach((cell) => {
+        console.log("Initializing Thebe with cell: " + cell.id);
+        cell.querySelector(".thebelab-run-button").click();
+      });
+    }
+  });
+};
+
+/**
+ * Update the page DOM to use Thebe elements
+ */
+var modifyDOMForThebe = () => {
+  // Find all code cells, replace with Thebe interactive code cells
+  const codeCells = document.querySelectorAll(thebe_selector);
+  codeCells.forEach((codeCell, index) => {
+    const codeCellId = (index) => `codecell${index}`;
+    codeCell.id = codeCellId(index);
+    codeCellText = codeCell.querySelector(thebe_selector_input);
+    codeCellOutput = codeCell.querySelector(thebe_selector_output);
+
+    // Clean up the language to make it work w/ CodeMirror and add it to the cell
+    dataLanguage = detectLanguage(kernelName);
+
+    // Re-arrange the cell and add metadata
+    if (codeCellText) {
+      codeCellText.setAttribute("data-language", dataLanguage);
+      codeCellText.setAttribute("data-executable", "true");
+
+      // If we had an output, insert it just after the `pre` cell
+      if (codeCellOutput) {
+        $(codeCellOutput).attr("data-output", "");
+        $(codeCellOutput).insertAfter(codeCellText);
+      }
+    }
+
+    // Remove sphinx-copybutton blocks, which are common in Sphinx
+    codeCell.querySelectorAll("button.copybtn").forEach((el) => {
+      el.remove();
+    });
+  });
+};
+
+var initThebe = () => {
+  // Load thebe dynamically if it's not already loaded
+  if (typeof thebelab === "undefined") {
+    console.log("[sphinx-thebe]: Loading thebe from CDN...");
+    $(".thebe-launch-button ").text("Loading thebe from CDN...");
+
+    const script = document.createElement("script");
+    script.src = `${THEBE_JS_URL}`;
+    document.head.appendChild(script);
+
+    // Runs once the script has finished loading
+    script.addEventListener("load", () => {
+      console.log("[sphinx-thebe]: Finished loading thebe from CDN...");
+      configureThebe();
+      modifyDOMForThebe();
+      thebelab.bootstrap();
+    });
+  } else {
+    console.log(
+      "[sphinx-thebe]: thebe already loaded, not loading from CDN..."
+    );
+    configureThebe();
+    modifyDOMForThebe();
+    thebelab.bootstrap();
+  }
+};
+
+// Helper function to munge the language name
+var detectLanguage = (language) => {
+  if (language.indexOf("python") > -1) {
+    language = "python";
+  } else if (language === "ir") {
+    language = "r";
+  }
+  return language;
+};
diff --git a/_preview/40/_static/togglebutton.css b/_preview/40/_static/togglebutton.css
new file mode 100644
index 0000000..54a6787
--- /dev/null
+++ b/_preview/40/_static/togglebutton.css
@@ -0,0 +1,160 @@
+/**
+ * Admonition-based toggles
+ */
+
+/* Visibility of the target */
+.admonition.toggle .admonition-title ~ * {
+    transition: opacity .3s, height .3s;
+}
+
+/* Toggle buttons inside admonitions so we see the title */
+.admonition.toggle {
+    position: relative;
+}
+
+/* Titles should cut off earlier to avoid overlapping w/ button */
+.admonition.toggle .admonition-title {
+    padding-right: 25%;
+    cursor: pointer;
+}
+
+/* Hovering will cause a slight shift in color to make it feel interactive */
+.admonition.toggle .admonition-title:hover {
+    box-shadow: inset 0 0 0px 20px rgb(0 0 0 / 1%);
+}
+
+/* Hovering will cause a slight shift in color to make it feel interactive */
+.admonition.toggle .admonition-title:active {
+    box-shadow: inset 0 0 0px 20px rgb(0 0 0 / 3%);
+}
+
+/* Remove extra whitespace below the admonition title when hidden */
+.admonition.toggle-hidden {
+    padding-bottom: 0;
+}
+
+.admonition.toggle-hidden .admonition-title {
+    margin-bottom: 0;
+}
+
+/* hides all the content of a page until de-toggled */
+.admonition.toggle-hidden .admonition-title ~ * {
+    height: 0;
+    margin: 0;
+    opacity: 0;
+    visibility: hidden;
+}
+
+/* General button style and position*/
+button.toggle-button {
+    /**
+     * Background and shape. By default there's no background
+     * but users can style as they wish
+     */  
+    background: none;
+    border: none;
+    outline: none;
+
+    /* Positioning just inside the admonition title */
+    position: absolute;
+    right: 0.5em;
+    padding: 0px;
+    border: none;
+    outline: none;
+}
+
+/* Display the toggle hint on wide screens */
+@media (min-width: 768px) {
+    button.toggle-button.toggle-button-hidden:before {
+        content: attr(data-toggle-hint);  /* This will be filled in by JS */
+        font-size: .8em;
+        align-self: center;
+    }
+}
+
+/* Icon behavior */
+.tb-icon {
+    transition: transform .2s ease-out;
+    height: 1.5em;
+    width: 1.5em;
+    stroke: currentColor;  /* So that we inherit the color of other text */
+}
+
+/* The icon should point right when closed, down when open. */
+/* Open */
+.admonition.toggle button .tb-icon {
+    transform: rotate(90deg);
+}
+
+/* Closed */
+.admonition.toggle button.toggle-button-hidden .tb-icon {
+    transform: rotate(0deg);
+}
+
+/* With details toggles, we don't rotate the icon so it points right */
+details.toggle-details .tb-icon {
+    height: 1.4em;
+    width: 1.4em;
+    margin-top: 0.1em;  /* To center the button vertically */
+}
+
+
+/**
+ * Details-based toggles.
+ * In this case, we wrap elements with `.toggle` in a details block.
+ */
+
+/* Details blocks */
+details.toggle-details {
+    margin: 1em 0;
+}
+
+
+details.toggle-details summary {
+    display: flex;
+    align-items: center;
+    cursor: pointer;
+    list-style: none;
+    border-radius: .2em;
+    border-left: 3px solid #1976d2;
+    background-color: rgb(204 204 204 / 10%);
+    padding: 0.2em 0.7em 0.3em 0.5em; /* Less padding on left because the SVG has left margin */
+    font-size: 0.9em;
+}
+
+details.toggle-details summary:hover {
+    background-color: rgb(204 204 204 / 20%);
+}
+
+details.toggle-details summary:active {
+    background: rgb(204 204 204 / 28%);
+}
+
+.toggle-details__summary-text {
+    margin-left: 0.2em;
+}
+
+details.toggle-details[open] summary {
+    margin-bottom: .5em;
+}
+
+details.toggle-details[open] summary .tb-icon {
+    transform: rotate(90deg);
+}
+
+details.toggle-details[open] summary ~ * {
+    animation: toggle-fade-in .3s ease-out;
+}
+
+@keyframes toggle-fade-in {
+  from {opacity: 0%;}
+  to {opacity: 100%;}
+}
+
+/* Print rules - we hide all toggle button elements at print */
+@media print {
+    /* Always hide the summary so the button doesn't show up */
+    details.toggle-details summary {
+        display: none;
+    }
+}
\ No newline at end of file
diff --git a/_preview/40/_static/togglebutton.js b/_preview/40/_static/togglebutton.js
new file mode 100644
index 0000000..215a7ee
--- /dev/null
+++ b/_preview/40/_static/togglebutton.js
@@ -0,0 +1,187 @@
+/**
+ * Add Toggle Buttons to elements
+ */
+
+let toggleChevron = `
+<svg xmlns="http://www.w3.org/2000/svg" class="tb-icon toggle-chevron-right" width="44" height="44" viewBox="0 0 24 24" stroke-width="1.5" stroke="#000000" fill="none" stroke-linecap="round" stroke-linejoin="round">
+<path stroke="none" d="M0 0h24v24H0z" fill="none"/>
+<polyline points="9 6 15 12 9 18" />
+</svg>`;
+
+var initToggleItems = () => {
+  var itemsToToggle = document.querySelectorAll(togglebuttonSelector);
+  console.log(`[togglebutton]: Adding toggle buttons to ${itemsToToggle.length} items`)
+  // Add the button to each admonition and hook up a callback to toggle visibility
+  itemsToToggle.forEach((item, index) => {
+    if (item.classList.contains("admonition")) {
+      // If it's an admonition block, then we'll add a button inside
+      // Generate unique IDs for this item
+      var toggleID = `toggle-${index}`;
+      var buttonID = `button-${toggleID}`;
+
+      item.setAttribute('id', toggleID);
+      if (!item.classList.contains("toggle")){
+        item.classList.add("toggle");
+      }
+      // This is the button that will be added to each item to trigger the toggle
+      var collapseButton = `
+        <button type="button" id="${buttonID}" class="toggle-button" data-target="${toggleID}" data-button="${buttonID}" data-toggle-hint="${toggleHintShow}" aria-label="Toggle hidden content">
+            ${toggleChevron}
+        </button>`;
+
+      title = item.querySelector(".admonition-title")
+      title.insertAdjacentHTML("beforeend", collapseButton);
+      thisButton = document.getElementById(buttonID);
+
+      // Add click handlers for the button + admonition title (if admonition)
+      admonitionTitle = document.querySelector(`#${toggleID} > .admonition-title`)
+      if (admonitionTitle) {
+        // If an admonition, then make the whole title block clickable
+        admonitionTitle.addEventListener('click', toggleClickHandler);
+        admonitionTitle.dataset.target = toggleID
+        admonitionTitle.dataset.button = buttonID
+      } else {
+        // If not an admonition then we'll listen for the button click
+        thisButton.addEventListener('click', toggleClickHandler);
+      }
+
+      // Now hide the item for this toggle button unless explicitly noted to show
+      if (!item.classList.contains("toggle-shown")) {
+        toggleHidden(thisButton);
+      }
+    } else {
+      // If not an admonition, wrap the block in a <details> block
+      // Define the structure of the details block and insert it as a sibling
+      var detailsBlock = `
+        <details class="toggle-details">
+            <summary class="toggle-details__summary">
+              ${toggleChevron}
+              <span class="toggle-details__summary-text">${toggleHintShow}</span>
+            </summary>
+        </details>`;
+      item.insertAdjacentHTML("beforebegin", detailsBlock);
+
+      // Now move the toggle-able content inside of the details block
+      details = item.previousElementSibling
+      details.appendChild(item)
+      item.classList.add("toggle-details__container")
+
+      // Set up a click trigger to change the text as needed
+      details.addEventListener('click', (click) => {
+        let parent = click.target.parentElement;
+        if (parent.tagName.toLowerCase() == "details") {
+          summary = parent.querySelector("summary");
+          details = parent;
+        } else {
+          summary = parent;
+          details = parent.parentElement;
+        }
+        // Update the inner text for the proper hint
+        if (details.open) {
+          summary.querySelector("span.toggle-details__summary-text").innerText = toggleHintShow;
+        } else {
+          summary.querySelector("span.toggle-details__summary-text").innerText = toggleHintHide;
+        }
+        
+      });
+
+      // If we have a toggle-shown class, open details block should be open
+      if (item.classList.contains("toggle-shown")) {
+        details.click();
+      }
+    }
+  })
+};
+
+// This should simply add / remove the collapsed class and change the button text
+var toggleHidden = (button) => {
+  target = button.dataset['target']
+  var itemToToggle = document.getElementById(target);
+  if (itemToToggle.classList.contains("toggle-hidden")) {
+    itemToToggle.classList.remove("toggle-hidden");
+    button.classList.remove("toggle-button-hidden");
+  } else {
+    itemToToggle.classList.add("toggle-hidden");
+    button.classList.add("toggle-button-hidden");
+  }
+}
+
+var toggleClickHandler = (click) => {
+  // Be cause the admonition title is clickable and extends to the whole admonition
+  // We only look for a click event on this title to trigger the toggle.
+
+  if (click.target.classList.contains("admonition-title")) {
+    button = click.target.querySelector(".toggle-button");
+  } else if (click.target.classList.contains("tb-icon")) {
+    // We've clicked the icon and need to search up one parent for the button
+    button = click.target.parentElement;
+  } else if (click.target.tagName == "polyline") {
+    // We've clicked the SVG elements inside the button, need to up 2 layers
+    button = click.target.parentElement.parentElement;
+  } else if (click.target.classList.contains("toggle-button")) {
+    // We've clicked the button itself and so don't need to do anything
+    button = click.target;
+  } else {
+    console.log(`[togglebutton]: Couldn't find button for ${click.target}`)
+  }
+  target = document.getElementById(button.dataset['button']);
+  toggleHidden(target);
+}
+
+// If we want to blanket-add toggle classes to certain cells
+var addToggleToSelector = () => {
+  const selector = "";
+  if (selector.length > 0) {
+    document.querySelectorAll(selector).forEach((item) => {
+      item.classList.add("toggle");
+    })
+  }
+}
+
+// Helper function to run when the DOM is finished
+const sphinxToggleRunWhenDOMLoaded = cb => {
+  if (document.readyState != 'loading') {
+    cb()
+  } else if (document.addEventListener) {
+    document.addEventListener('DOMContentLoaded', cb)
+  } else {
+    document.attachEvent('onreadystatechange', function() {
+      if (document.readyState == 'complete') cb()
+    })
+  }
+}
+sphinxToggleRunWhenDOMLoaded(addToggleToSelector)
+sphinxToggleRunWhenDOMLoaded(initToggleItems)
+
+/** Toggle details blocks to be open when printing */
+if (toggleOpenOnPrint == "true") {
+  window.addEventListener("beforeprint", () => {
+    // Open the details
+    document.querySelectorAll("details.toggle-details").forEach((el) => {
+      el.dataset["togglestatus"] = el.open;
+      el.open = true;
+    });
+  
+    // Open the admonitions
+    document.querySelectorAll(".admonition.toggle.toggle-hidden").forEach((el) => {
+      console.log(el);
+      el.querySelector("button.toggle-button").click();
+      el.dataset["toggle_after_print"] = "true";
+    });
+  });
+  window.addEventListener("afterprint", () => {
+    // Re-close the details that were closed
+    document.querySelectorAll("details.toggle-details").forEach((el) => {
+      el.open = el.dataset["togglestatus"] == "true";
+      delete el.dataset["togglestatus"];
+    });
+  
+    // Re-close the admonition toggle buttons
+    document.querySelectorAll(".admonition.toggle").forEach((el) => {
+      if (el.dataset["toggle_after_print"] == "true") {
+        el.querySelector("button.toggle-button").click();
+        delete el.dataset["toggle_after_print"];
+      }
+    });
+  });
+}
diff --git a/_preview/40/_static/underscore-1.13.1.js b/_preview/40/_static/underscore-1.13.1.js
new file mode 100644
index 0000000..ffd77af
--- /dev/null
+++ b/_preview/40/_static/underscore-1.13.1.js
@@ -0,0 +1,2042 @@
+(function (global, factory) {
+  typeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory() :
+  typeof define === 'function' && define.amd ? define('underscore', factory) :
+  (global = typeof globalThis !== 'undefined' ? globalThis : global || self, (function () {
+    var current = global._;
+    var exports = global._ = factory();
+    exports.noConflict = function () { global._ = current; return exports; };
+  }()));
+}(this, (function () {
+  //     Underscore.js 1.13.1
+  //     https://underscorejs.org
+  //     (c) 2009-2021 Jeremy Ashkenas, Julian Gonggrijp, and DocumentCloud and Investigative Reporters & Editors
+  //     Underscore may be freely distributed under the MIT license.
+
+  // Current version.
+  var VERSION = '1.13.1';
+
+  // Establish the root object, `window` (`self`) in the browser, `global`
+  // on the server, or `this` in some virtual machines. We use `self`
+  // instead of `window` for `WebWorker` support.
+  var root = typeof self == 'object' && self.self === self && self ||
+            typeof global == 'object' && global.global === global && global ||
+            Function('return this')() ||
+            {};
+
+  // Save bytes in the minified (but not gzipped) version:
+  var ArrayProto = Array.prototype, ObjProto = Object.prototype;
+  var SymbolProto = typeof Symbol !== 'undefined' ? Symbol.prototype : null;
+
+  // Create quick reference variables for speed access to core prototypes.
+  var push = ArrayProto.push,
+      slice = ArrayProto.slice,
+      toString = ObjProto.toString,
+      hasOwnProperty = ObjProto.hasOwnProperty;
+
+  // Modern feature detection.
+  var supportsArrayBuffer = typeof ArrayBuffer !== 'undefined',
+      supportsDataView = typeof DataView !== 'undefined';
+
+  // All **ECMAScript 5+** native function implementations that we hope to use
+  // are declared here.
+  var nativeIsArray = Array.isArray,
+      nativeKeys = Object.keys,
+      nativeCreate = Object.create,
+      nativeIsView = supportsArrayBuffer && ArrayBuffer.isView;
+
+  // Create references to these builtin functions because we override them.
+  var _isNaN = isNaN,
+      _isFinite = isFinite;
+
+  // Keys in IE < 9 that won't be iterated by `for key in ...` and thus missed.
+  var hasEnumBug = !{toString: null}.propertyIsEnumerable('toString');
+  var nonEnumerableProps = ['valueOf', 'isPrototypeOf', 'toString',
+    'propertyIsEnumerable', 'hasOwnProperty', 'toLocaleString'];
+
+  // The largest integer that can be represented exactly.
+  var MAX_ARRAY_INDEX = Math.pow(2, 53) - 1;
+
+  // Some functions take a variable number of arguments, or a few expected
+  // arguments at the beginning and then a variable number of values to operate
+  // on. This helper accumulates all remaining arguments past the function’s
+  // argument length (or an explicit `startIndex`), into an array that becomes
+  // the last argument. Similar to ES6’s "rest parameter".
+  function restArguments(func, startIndex) {
+    startIndex = startIndex == null ? func.length - 1 : +startIndex;
+    return function() {
+      var length = Math.max(arguments.length - startIndex, 0),
+          rest = Array(length),
+          index = 0;
+      for (; index < length; index++) {
+        rest[index] = arguments[index + startIndex];
+      }
+      switch (startIndex) {
+        case 0: return func.call(this, rest);
+        case 1: return func.call(this, arguments[0], rest);
+        case 2: return func.call(this, arguments[0], arguments[1], rest);
+      }
+      var args = Array(startIndex + 1);
+      for (index = 0; index < startIndex; index++) {
+        args[index] = arguments[index];
+      }
+      args[startIndex] = rest;
+      return func.apply(this, args);
+    };
+  }
+
+  // Is a given variable an object?
+  function isObject(obj) {
+    var type = typeof obj;
+    return type === 'function' || type === 'object' && !!obj;
+  }
+
+  // Is a given value equal to null?
+  function isNull(obj) {
+    return obj === null;
+  }
+
+  // Is a given variable undefined?
+  function isUndefined(obj) {
+    return obj === void 0;
+  }
+
+  // Is a given value a boolean?
+  function isBoolean(obj) {
+    return obj === true || obj === false || toString.call(obj) === '[object Boolean]';
+  }
+
+  // Is a given value a DOM element?
+  function isElement(obj) {
+    return !!(obj && obj.nodeType === 1);
+  }
+
+  // Internal function for creating a `toString`-based type tester.
+  function tagTester(name) {
+    var tag = '[object ' + name + ']';
+    return function(obj) {
+      return toString.call(obj) === tag;
+    };
+  }
+
+  var isString = tagTester('String');
+
+  var isNumber = tagTester('Number');
+
+  var isDate = tagTester('Date');
+
+  var isRegExp = tagTester('RegExp');
+
+  var isError = tagTester('Error');
+
+  var isSymbol = tagTester('Symbol');
+
+  var isArrayBuffer = tagTester('ArrayBuffer');
+
+  var isFunction = tagTester('Function');
+
+  // Optimize `isFunction` if appropriate. Work around some `typeof` bugs in old
+  // v8, IE 11 (#1621), Safari 8 (#1929), and PhantomJS (#2236).
+  var nodelist = root.document && root.document.childNodes;
+  if (typeof /./ != 'function' && typeof Int8Array != 'object' && typeof nodelist != 'function') {
+    isFunction = function(obj) {
+      return typeof obj == 'function' || false;
+    };
+  }
+
+  var isFunction$1 = isFunction;
+
+  var hasObjectTag = tagTester('Object');
+
+  // In IE 10 - Edge 13, `DataView` has string tag `'[object Object]'`.
+  // In IE 11, the most common among them, this problem also applies to
+  // `Map`, `WeakMap` and `Set`.
+  var hasStringTagBug = (
+        supportsDataView && hasObjectTag(new DataView(new ArrayBuffer(8)))
+      ),
+      isIE11 = (typeof Map !== 'undefined' && hasObjectTag(new Map));
+
+  var isDataView = tagTester('DataView');
+
+  // In IE 10 - Edge 13, we need a different heuristic
+  // to determine whether an object is a `DataView`.
+  function ie10IsDataView(obj) {
+    return obj != null && isFunction$1(obj.getInt8) && isArrayBuffer(obj.buffer);
+  }
+
+  var isDataView$1 = (hasStringTagBug ? ie10IsDataView : isDataView);
+
+  // Is a given value an array?
+  // Delegates to ECMA5's native `Array.isArray`.
+  var isArray = nativeIsArray || tagTester('Array');
+
+  // Internal function to check whether `key` is an own property name of `obj`.
+  function has$1(obj, key) {
+    return obj != null && hasOwnProperty.call(obj, key);
+  }
+
+  var isArguments = tagTester('Arguments');
+
+  // Define a fallback version of the method in browsers (ahem, IE < 9), where
+  // there isn't any inspectable "Arguments" type.
+  (function() {
+    if (!isArguments(arguments)) {
+      isArguments = function(obj) {
+        return has$1(obj, 'callee');
+      };
+    }
+  }());
+
+  var isArguments$1 = isArguments;
+
+  // Is a given object a finite number?
+  function isFinite$1(obj) {
+    return !isSymbol(obj) && _isFinite(obj) && !isNaN(parseFloat(obj));
+  }
+
+  // Is the given value `NaN`?
+  function isNaN$1(obj) {
+    return isNumber(obj) && _isNaN(obj);
+  }
+
+  // Predicate-generating function. Often useful outside of Underscore.
+  function constant(value) {
+    return function() {
+      return value;
+    };
+  }
+
+  // Common internal logic for `isArrayLike` and `isBufferLike`.
+  function createSizePropertyCheck(getSizeProperty) {
+    return function(collection) {
+      var sizeProperty = getSizeProperty(collection);
+      return typeof sizeProperty == 'number' && sizeProperty >= 0 && sizeProperty <= MAX_ARRAY_INDEX;
+    }
+  }
+
+  // Internal helper to generate a function to obtain property `key` from `obj`.
+  function shallowProperty(key) {
+    return function(obj) {
+      return obj == null ? void 0 : obj[key];
+    };
+  }
+
+  // Internal helper to obtain the `byteLength` property of an object.
+  var getByteLength = shallowProperty('byteLength');
+
+  // Internal helper to determine whether we should spend extensive checks against
+  // `ArrayBuffer` et al.
+  var isBufferLike = createSizePropertyCheck(getByteLength);
+
+  // Is a given value a typed array?
+  var typedArrayPattern = /\[object ((I|Ui)nt(8|16|32)|Float(32|64)|Uint8Clamped|Big(I|Ui)nt64)Array\]/;
+  function isTypedArray(obj) {
+    // `ArrayBuffer.isView` is the most future-proof, so use it when available.
+    // Otherwise, fall back on the above regular expression.
+    return nativeIsView ? (nativeIsView(obj) && !isDataView$1(obj)) :
+                  isBufferLike(obj) && typedArrayPattern.test(toString.call(obj));
+  }
+
+  var isTypedArray$1 = supportsArrayBuffer ? isTypedArray : constant(false);
+
+  // Internal helper to obtain the `length` property of an object.
+  var getLength = shallowProperty('length');
+
+  // Internal helper to create a simple lookup structure.
+  // `collectNonEnumProps` used to depend on `_.contains`, but this led to
+  // circular imports. `emulatedSet` is a one-off solution that only works for
+  // arrays of strings.
+  function emulatedSet(keys) {
+    var hash = {};
+    for (var l = keys.length, i = 0; i < l; ++i) hash[keys[i]] = true;
+    return {
+      contains: function(key) { return hash[key]; },
+      push: function(key) {
+        hash[key] = true;
+        return keys.push(key);
+      }
+    };
+  }
+
+  // Internal helper. Checks `keys` for the presence of keys in IE < 9 that won't
+  // be iterated by `for key in ...` and thus missed. Extends `keys` in place if
+  // needed.
+  function collectNonEnumProps(obj, keys) {
+    keys = emulatedSet(keys);
+    var nonEnumIdx = nonEnumerableProps.length;
+    var constructor = obj.constructor;
+    var proto = isFunction$1(constructor) && constructor.prototype || ObjProto;
+
+    // Constructor is a special case.
+    var prop = 'constructor';
+    if (has$1(obj, prop) && !keys.contains(prop)) keys.push(prop);
+
+    while (nonEnumIdx--) {
+      prop = nonEnumerableProps[nonEnumIdx];
+      if (prop in obj && obj[prop] !== proto[prop] && !keys.contains(prop)) {
+        keys.push(prop);
+      }
+    }
+  }
+
+  // Retrieve the names of an object's own properties.
+  // Delegates to **ECMAScript 5**'s native `Object.keys`.
+  function keys(obj) {
+    if (!isObject(obj)) return [];
+    if (nativeKeys) return nativeKeys(obj);
+    var keys = [];
+    for (var key in obj) if (has$1(obj, key)) keys.push(key);
+    // Ahem, IE < 9.
+    if (hasEnumBug) collectNonEnumProps(obj, keys);
+    return keys;
+  }
+
+  // Is a given array, string, or object empty?
+  // An "empty" object has no enumerable own-properties.
+  function isEmpty(obj) {
+    if (obj == null) return true;
+    // Skip the more expensive `toString`-based type checks if `obj` has no
+    // `.length`.
+    var length = getLength(obj);
+    if (typeof length == 'number' && (
+      isArray(obj) || isString(obj) || isArguments$1(obj)
+    )) return length === 0;
+    return getLength(keys(obj)) === 0;
+  }
+
+  // Returns whether an object has a given set of `key:value` pairs.
+  function isMatch(object, attrs) {
+    var _keys = keys(attrs), length = _keys.length;
+    if (object == null) return !length;
+    var obj = Object(object);
+    for (var i = 0; i < length; i++) {
+      var key = _keys[i];
+      if (attrs[key] !== obj[key] || !(key in obj)) return false;
+    }
+    return true;
+  }
+
+  // If Underscore is called as a function, it returns a wrapped object that can
+  // be used OO-style. This wrapper holds altered versions of all functions added
+  // through `_.mixin`. Wrapped objects may be chained.
+  function _$1(obj) {
+    if (obj instanceof _$1) return obj;
+    if (!(this instanceof _$1)) return new _$1(obj);
+    this._wrapped = obj;
+  }
+
+  _$1.VERSION = VERSION;
+
+  // Extracts the result from a wrapped and chained object.
+  _$1.prototype.value = function() {
+    return this._wrapped;
+  };
+
+  // Provide unwrapping proxies for some methods used in engine operations
+  // such as arithmetic and JSON stringification.
+  _$1.prototype.valueOf = _$1.prototype.toJSON = _$1.prototype.value;
+
+  _$1.prototype.toString = function() {
+    return String(this._wrapped);
+  };
+
+  // Internal function to wrap or shallow-copy an ArrayBuffer,
+  // typed array or DataView to a new view, reusing the buffer.
+  function toBufferView(bufferSource) {
+    return new Uint8Array(
+      bufferSource.buffer || bufferSource,
+      bufferSource.byteOffset || 0,
+      getByteLength(bufferSource)
+    );
+  }
+
+  // We use this string twice, so give it a name for minification.
+  var tagDataView = '[object DataView]';
+
+  // Internal recursive comparison function for `_.isEqual`.
+  function eq(a, b, aStack, bStack) {
+    // Identical objects are equal. `0 === -0`, but they aren't identical.
+    // See the [Harmony `egal` proposal](https://wiki.ecmascript.org/doku.php?id=harmony:egal).
+    if (a === b) return a !== 0 || 1 / a === 1 / b;
+    // `null` or `undefined` only equal to itself (strict comparison).
+    if (a == null || b == null) return false;
+    // `NaN`s are equivalent, but non-reflexive.
+    if (a !== a) return b !== b;
+    // Exhaust primitive checks
+    var type = typeof a;
+    if (type !== 'function' && type !== 'object' && typeof b != 'object') return false;
+    return deepEq(a, b, aStack, bStack);
+  }
+
+  // Internal recursive comparison function for `_.isEqual`.
+  function deepEq(a, b, aStack, bStack) {
+    // Unwrap any wrapped objects.
+    if (a instanceof _$1) a = a._wrapped;
+    if (b instanceof _$1) b = b._wrapped;
+    // Compare `[[Class]]` names.
+    var className = toString.call(a);
+    if (className !== toString.call(b)) return false;
+    // Work around a bug in IE 10 - Edge 13.
+    if (hasStringTagBug && className == '[object Object]' && isDataView$1(a)) {
+      if (!isDataView$1(b)) return false;
+      className = tagDataView;
+    }
+    switch (className) {
+      // These types are compared by value.
+      case '[object RegExp]':
+        // RegExps are coerced to strings for comparison (Note: '' + /a/i === '/a/i')
+      case '[object String]':
+        // Primitives and their corresponding object wrappers are equivalent; thus, `"5"` is
+        // equivalent to `new String("5")`.
+        return '' + a === '' + b;
+      case '[object Number]':
+        // `NaN`s are equivalent, but non-reflexive.
+        // Object(NaN) is equivalent to NaN.
+        if (+a !== +a) return +b !== +b;
+        // An `egal` comparison is performed for other numeric values.
+        return +a === 0 ? 1 / +a === 1 / b : +a === +b;
+      case '[object Date]':
+      case '[object Boolean]':
+        // Coerce dates and booleans to numeric primitive values. Dates are compared by their
+        // millisecond representations. Note that invalid dates with millisecond representations
+        // of `NaN` are not equivalent.
+        return +a === +b;
+      case '[object Symbol]':
+        return SymbolProto.valueOf.call(a) === SymbolProto.valueOf.call(b);
+      case '[object ArrayBuffer]':
+      case tagDataView:
+        // Coerce to typed array so we can fall through.
+        return deepEq(toBufferView(a), toBufferView(b), aStack, bStack);
+    }
+
+    var areArrays = className === '[object Array]';
+    if (!areArrays && isTypedArray$1(a)) {
+        var byteLength = getByteLength(a);
+        if (byteLength !== getByteLength(b)) return false;
+        if (a.buffer === b.buffer && a.byteOffset === b.byteOffset) return true;
+        areArrays = true;
+    }
+    if (!areArrays) {
+      if (typeof a != 'object' || typeof b != 'object') return false;
+
+      // Objects with different constructors are not equivalent, but `Object`s or `Array`s
+      // from different frames are.
+      var aCtor = a.constructor, bCtor = b.constructor;
+      if (aCtor !== bCtor && !(isFunction$1(aCtor) && aCtor instanceof aCtor &&
+                               isFunction$1(bCtor) && bCtor instanceof bCtor)
+                          && ('constructor' in a && 'constructor' in b)) {
+        return false;
+      }
+    }
+    // Assume equality for cyclic structures. The algorithm for detecting cyclic
+    // structures is adapted from ES 5.1 section 15.12.3, abstract operation `JO`.
+
+    // Initializing stack of traversed objects.
+    // It's done here since we only need them for objects and arrays comparison.
+    aStack = aStack || [];
+    bStack = bStack || [];
+    var length = aStack.length;
+    while (length--) {
+      // Linear search. Performance is inversely proportional to the number of
+      // unique nested structures.
+      if (aStack[length] === a) return bStack[length] === b;
+    }
+
+    // Add the first object to the stack of traversed objects.
+    aStack.push(a);
+    bStack.push(b);
+
+    // Recursively compare objects and arrays.
+    if (areArrays) {
+      // Compare array lengths to determine if a deep comparison is necessary.
+      length = a.length;
+      if (length !== b.length) return false;
+      // Deep compare the contents, ignoring non-numeric properties.
+      while (length--) {
+        if (!eq(a[length], b[length], aStack, bStack)) return false;
+      }
+    } else {
+      // Deep compare objects.
+      var _keys = keys(a), key;
+      length = _keys.length;
+      // Ensure that both objects contain the same number of properties before comparing deep equality.
+      if (keys(b).length !== length) return false;
+      while (length--) {
+        // Deep compare each member
+        key = _keys[length];
+        if (!(has$1(b, key) && eq(a[key], b[key], aStack, bStack))) return false;
+      }
+    }
+    // Remove the first object from the stack of traversed objects.
+    aStack.pop();
+    bStack.pop();
+    return true;
+  }
+
+  // Perform a deep comparison to check if two objects are equal.
+  function isEqual(a, b) {
+    return eq(a, b);
+  }
+
+  // Retrieve all the enumerable property names of an object.
+  function allKeys(obj) {
+    if (!isObject(obj)) return [];
+    var keys = [];
+    for (var key in obj) keys.push(key);
+    // Ahem, IE < 9.
+    if (hasEnumBug) collectNonEnumProps(obj, keys);
+    return keys;
+  }
+
+  // Since the regular `Object.prototype.toString` type tests don't work for
+  // some types in IE 11, we use a fingerprinting heuristic instead, based
+  // on the methods. It's not great, but it's the best we got.
+  // The fingerprint method lists are defined below.
+  function ie11fingerprint(methods) {
+    var length = getLength(methods);
+    return function(obj) {
+      if (obj == null) return false;
+      // `Map`, `WeakMap` and `Set` have no enumerable keys.
+      var keys = allKeys(obj);
+      if (getLength(keys)) return false;
+      for (var i = 0; i < length; i++) {
+        if (!isFunction$1(obj[methods[i]])) return false;
+      }
+      // If we are testing against `WeakMap`, we need to ensure that
+      // `obj` doesn't have a `forEach` method in order to distinguish
+      // it from a regular `Map`.
+      return methods !== weakMapMethods || !isFunction$1(obj[forEachName]);
+    };
+  }
+
+  // In the interest of compact minification, we write
+  // each string in the fingerprints only once.
+  var forEachName = 'forEach',
+      hasName = 'has',
+      commonInit = ['clear', 'delete'],
+      mapTail = ['get', hasName, 'set'];
+
+  // `Map`, `WeakMap` and `Set` each have slightly different
+  // combinations of the above sublists.
+  var mapMethods = commonInit.concat(forEachName, mapTail),
+      weakMapMethods = commonInit.concat(mapTail),
+      setMethods = ['add'].concat(commonInit, forEachName, hasName);
+
+  var isMap = isIE11 ? ie11fingerprint(mapMethods) : tagTester('Map');
+
+  var isWeakMap = isIE11 ? ie11fingerprint(weakMapMethods) : tagTester('WeakMap');
+
+  var isSet = isIE11 ? ie11fingerprint(setMethods) : tagTester('Set');
+
+  var isWeakSet = tagTester('WeakSet');
+
+  // Retrieve the values of an object's properties.
+  function values(obj) {
+    var _keys = keys(obj);
+    var length = _keys.length;
+    var values = Array(length);
+    for (var i = 0; i < length; i++) {
+      values[i] = obj[_keys[i]];
+    }
+    return values;
+  }
+
+  // Convert an object into a list of `[key, value]` pairs.
+  // The opposite of `_.object` with one argument.
+  function pairs(obj) {
+    var _keys = keys(obj);
+    var length = _keys.length;
+    var pairs = Array(length);
+    for (var i = 0; i < length; i++) {
+      pairs[i] = [_keys[i], obj[_keys[i]]];
+    }
+    return pairs;
+  }
+
+  // Invert the keys and values of an object. The values must be serializable.
+  function invert(obj) {
+    var result = {};
+    var _keys = keys(obj);
+    for (var i = 0, length = _keys.length; i < length; i++) {
+      result[obj[_keys[i]]] = _keys[i];
+    }
+    return result;
+  }
+
+  // Return a sorted list of the function names available on the object.
+  function functions(obj) {
+    var names = [];
+    for (var key in obj) {
+      if (isFunction$1(obj[key])) names.push(key);
+    }
+    return names.sort();
+  }
+
+  // An internal function for creating assigner functions.
+  function createAssigner(keysFunc, defaults) {
+    return function(obj) {
+      var length = arguments.length;
+      if (defaults) obj = Object(obj);
+      if (length < 2 || obj == null) return obj;
+      for (var index = 1; index < length; index++) {
+        var source = arguments[index],
+            keys = keysFunc(source),
+            l = keys.length;
+        for (var i = 0; i < l; i++) {
+          var key = keys[i];
+          if (!defaults || obj[key] === void 0) obj[key] = source[key];
+        }
+      }
+      return obj;
+    };
+  }
+
+  // Extend a given object with all the properties in passed-in object(s).
+  var extend = createAssigner(allKeys);
+
+  // Assigns a given object with all the own properties in the passed-in
+  // object(s).
+  // (https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object/assign)
+  var extendOwn = createAssigner(keys);
+
+  // Fill in a given object with default properties.
+  var defaults = createAssigner(allKeys, true);
+
+  // Create a naked function reference for surrogate-prototype-swapping.
+  function ctor() {
+    return function(){};
+  }
+
+  // An internal function for creating a new object that inherits from another.
+  function baseCreate(prototype) {
+    if (!isObject(prototype)) return {};
+    if (nativeCreate) return nativeCreate(prototype);
+    var Ctor = ctor();
+    Ctor.prototype = prototype;
+    var result = new Ctor;
+    Ctor.prototype = null;
+    return result;
+  }
+
+  // Creates an object that inherits from the given prototype object.
+  // If additional properties are provided then they will be added to the
+  // created object.
+  function create(prototype, props) {
+    var result = baseCreate(prototype);
+    if (props) extendOwn(result, props);
+    return result;
+  }
+
+  // Create a (shallow-cloned) duplicate of an object.
+  function clone(obj) {
+    if (!isObject(obj)) return obj;
+    return isArray(obj) ? obj.slice() : extend({}, obj);
+  }
+
+  // Invokes `interceptor` with the `obj` and then returns `obj`.
+  // The primary purpose of this method is to "tap into" a method chain, in
+  // order to perform operations on intermediate results within the chain.
+  function tap(obj, interceptor) {
+    interceptor(obj);
+    return obj;
+  }
+
+  // Normalize a (deep) property `path` to array.
+  // Like `_.iteratee`, this function can be customized.
+  function toPath$1(path) {
+    return isArray(path) ? path : [path];
+  }
+  _$1.toPath = toPath$1;
+
+  // Internal wrapper for `_.toPath` to enable minification.
+  // Similar to `cb` for `_.iteratee`.
+  function toPath(path) {
+    return _$1.toPath(path);
+  }
+
+  // Internal function to obtain a nested property in `obj` along `path`.
+  function deepGet(obj, path) {
+    var length = path.length;
+    for (var i = 0; i < length; i++) {
+      if (obj == null) return void 0;
+      obj = obj[path[i]];
+    }
+    return length ? obj : void 0;
+  }
+
+  // Get the value of the (deep) property on `path` from `object`.
+  // If any property in `path` does not exist or if the value is
+  // `undefined`, return `defaultValue` instead.
+  // The `path` is normalized through `_.toPath`.
+  function get(object, path, defaultValue) {
+    var value = deepGet(object, toPath(path));
+    return isUndefined(value) ? defaultValue : value;
+  }
+
+  // Shortcut function for checking if an object has a given property directly on
+  // itself (in other words, not on a prototype). Unlike the internal `has`
+  // function, this public version can also traverse nested properties.
+  function has(obj, path) {
+    path = toPath(path);
+    var length = path.length;
+    for (var i = 0; i < length; i++) {
+      var key = path[i];
+      if (!has$1(obj, key)) return false;
+      obj = obj[key];
+    }
+    return !!length;
+  }
+
+  // Keep the identity function around for default iteratees.
+  function identity(value) {
+    return value;
+  }
+
+  // Returns a predicate for checking whether an object has a given set of
+  // `key:value` pairs.
+  function matcher(attrs) {
+    attrs = extendOwn({}, attrs);
+    return function(obj) {
+      return isMatch(obj, attrs);
+    };
+  }
+
+  // Creates a function that, when passed an object, will traverse that object’s
+  // properties down the given `path`, specified as an array of keys or indices.
+  function property(path) {
+    path = toPath(path);
+    return function(obj) {
+      return deepGet(obj, path);
+    };
+  }
+
+  // Internal function that returns an efficient (for current engines) version
+  // of the passed-in callback, to be repeatedly applied in other Underscore
+  // functions.
+  function optimizeCb(func, context, argCount) {
+    if (context === void 0) return func;
+    switch (argCount == null ? 3 : argCount) {
+      case 1: return function(value) {
+        return func.call(context, value);
+      };
+      // The 2-argument case is omitted because we’re not using it.
+      case 3: return function(value, index, collection) {
+        return func.call(context, value, index, collection);
+      };
+      case 4: return function(accumulator, value, index, collection) {
+        return func.call(context, accumulator, value, index, collection);
+      };
+    }
+    return function() {
+      return func.apply(context, arguments);
+    };
+  }
+
+  // An internal function to generate callbacks that can be applied to each
+  // element in a collection, returning the desired result — either `_.identity`,
+  // an arbitrary callback, a property matcher, or a property accessor.
+  function baseIteratee(value, context, argCount) {
+    if (value == null) return identity;
+    if (isFunction$1(value)) return optimizeCb(value, context, argCount);
+    if (isObject(value) && !isArray(value)) return matcher(value);
+    return property(value);
+  }
+
+  // External wrapper for our callback generator. Users may customize
+  // `_.iteratee` if they want additional predicate/iteratee shorthand styles.
+  // This abstraction hides the internal-only `argCount` argument.
+  function iteratee(value, context) {
+    return baseIteratee(value, context, Infinity);
+  }
+  _$1.iteratee = iteratee;
+
+  // The function we call internally to generate a callback. It invokes
+  // `_.iteratee` if overridden, otherwise `baseIteratee`.
+  function cb(value, context, argCount) {
+    if (_$1.iteratee !== iteratee) return _$1.iteratee(value, context);
+    return baseIteratee(value, context, argCount);
+  }
+
+  // Returns the results of applying the `iteratee` to each element of `obj`.
+  // In contrast to `_.map` it returns an object.
+  function mapObject(obj, iteratee, context) {
+    iteratee = cb(iteratee, context);
+    var _keys = keys(obj),
+        length = _keys.length,
+        results = {};
+    for (var index = 0; index < length; index++) {
+      var currentKey = _keys[index];
+      results[currentKey] = iteratee(obj[currentKey], currentKey, obj);
+    }
+    return results;
+  }
+
+  // Predicate-generating function. Often useful outside of Underscore.
+  function noop(){}
+
+  // Generates a function for a given object that returns a given property.
+  function propertyOf(obj) {
+    if (obj == null) return noop;
+    return function(path) {
+      return get(obj, path);
+    };
+  }
+
+  // Run a function **n** times.
+  function times(n, iteratee, context) {
+    var accum = Array(Math.max(0, n));
+    iteratee = optimizeCb(iteratee, context, 1);
+    for (var i = 0; i < n; i++) accum[i] = iteratee(i);
+    return accum;
+  }
+
+  // Return a random integer between `min` and `max` (inclusive).
+  function random(min, max) {
+    if (max == null) {
+      max = min;
+      min = 0;
+    }
+    return min + Math.floor(Math.random() * (max - min + 1));
+  }
+
+  // A (possibly faster) way to get the current timestamp as an integer.
+  var now = Date.now || function() {
+    return new Date().getTime();
+  };
+
+  // Internal helper to generate functions for escaping and unescaping strings
+  // to/from HTML interpolation.
+  function createEscaper(map) {
+    var escaper = function(match) {
+      return map[match];
+    };
+    // Regexes for identifying a key that needs to be escaped.
+    var source = '(?:' + keys(map).join('|') + ')';
+    var testRegexp = RegExp(source);
+    var replaceRegexp = RegExp(source, 'g');
+    return function(string) {
+      string = string == null ? '' : '' + string;
+      return testRegexp.test(string) ? string.replace(replaceRegexp, escaper) : string;
+    };
+  }
+
+  // Internal list of HTML entities for escaping.
+  var escapeMap = {
+    '&': '&amp;',
+    '<': '&lt;',
+    '>': '&gt;',
+    '"': '&quot;',
+    "'": '&#x27;',
+    '`': '&#x60;'
+  };
+
+  // Function for escaping strings to HTML interpolation.
+  var _escape = createEscaper(escapeMap);
+
+  // Internal list of HTML entities for unescaping.
+  var unescapeMap = invert(escapeMap);
+
+  // Function for unescaping strings from HTML interpolation.
+  var _unescape = createEscaper(unescapeMap);
+
+  // By default, Underscore uses ERB-style template delimiters. Change the
+  // following template settings to use alternative delimiters.
+  var templateSettings = _$1.templateSettings = {
+    evaluate: /<%([\s\S]+?)%>/g,
+    interpolate: /<%=([\s\S]+?)%>/g,
+    escape: /<%-([\s\S]+?)%>/g
+  };
+
+  // When customizing `_.templateSettings`, if you don't want to define an
+  // interpolation, evaluation or escaping regex, we need one that is
+  // guaranteed not to match.
+  var noMatch = /(.)^/;
+
+  // Certain characters need to be escaped so that they can be put into a
+  // string literal.
+  var escapes = {
+    "'": "'",
+    '\\': '\\',
+    '\r': 'r',
+    '\n': 'n',
+    '\u2028': 'u2028',
+    '\u2029': 'u2029'
+  };
+
+  var escapeRegExp = /\\|'|\r|\n|\u2028|\u2029/g;
+
+  function escapeChar(match) {
+    return '\\' + escapes[match];
+  }
+
+  // In order to prevent third-party code injection through
+  // `_.templateSettings.variable`, we test it against the following regular
+  // expression. It is intentionally a bit more liberal than just matching valid
+  // identifiers, but still prevents possible loopholes through defaults or
+  // destructuring assignment.
+  var bareIdentifier = /^\s*(\w|\$)+\s*$/;
+
+  // JavaScript micro-templating, similar to John Resig's implementation.
+  // Underscore templating handles arbitrary delimiters, preserves whitespace,
+  // and correctly escapes quotes within interpolated code.
+  // NB: `oldSettings` only exists for backwards compatibility.
+  function template(text, settings, oldSettings) {
+    if (!settings && oldSettings) settings = oldSettings;
+    settings = defaults({}, settings, _$1.templateSettings);
+
+    // Combine delimiters into one regular expression via alternation.
+    var matcher = RegExp([
+      (settings.escape || noMatch).source,
+      (settings.interpolate || noMatch).source,
+      (settings.evaluate || noMatch).source
+    ].join('|') + '|$', 'g');
+
+    // Compile the template source, escaping string literals appropriately.
+    var index = 0;
+    var source = "__p+='";
+    text.replace(matcher, function(match, escape, interpolate, evaluate, offset) {
+      source += text.slice(index, offset).replace(escapeRegExp, escapeChar);
+      index = offset + match.length;
+
+      if (escape) {
+        source += "'+\n((__t=(" + escape + "))==null?'':_.escape(__t))+\n'";
+      } else if (interpolate) {
+        source += "'+\n((__t=(" + interpolate + "))==null?'':__t)+\n'";
+      } else if (evaluate) {
+        source += "';\n" + evaluate + "\n__p+='";
+      }
+
+      // Adobe VMs need the match returned to produce the correct offset.
+      return match;
+    });
+    source += "';\n";
+
+    var argument = settings.variable;
+    if (argument) {
+      // Insure against third-party code injection. (CVE-2021-23358)
+      if (!bareIdentifier.test(argument)) throw new Error(
+        'variable is not a bare identifier: ' + argument
+      );
+    } else {
+      // If a variable is not specified, place data values in local scope.
+      source = 'with(obj||{}){\n' + source + '}\n';
+      argument = 'obj';
+    }
+
+    source = "var __t,__p='',__j=Array.prototype.join," +
+      "print=function(){__p+=__j.call(arguments,'');};\n" +
+      source + 'return __p;\n';
+
+    var render;
+    try {
+      render = new Function(argument, '_', source);
+    } catch (e) {
+      e.source = source;
+      throw e;
+    }
+
+    var template = function(data) {
+      return render.call(this, data, _$1);
+    };
+
+    // Provide the compiled source as a convenience for precompilation.
+    template.source = 'function(' + argument + '){\n' + source + '}';
+
+    return template;
+  }
+
+  // Traverses the children of `obj` along `path`. If a child is a function, it
+  // is invoked with its parent as context. Returns the value of the final
+  // child, or `fallback` if any child is undefined.
+  function result(obj, path, fallback) {
+    path = toPath(path);
+    var length = path.length;
+    if (!length) {
+      return isFunction$1(fallback) ? fallback.call(obj) : fallback;
+    }
+    for (var i = 0; i < length; i++) {
+      var prop = obj == null ? void 0 : obj[path[i]];
+      if (prop === void 0) {
+        prop = fallback;
+        i = length; // Ensure we don't continue iterating.
+      }
+      obj = isFunction$1(prop) ? prop.call(obj) : prop;
+    }
+    return obj;
+  }
+
+  // Generate a unique integer id (unique within the entire client session).
+  // Useful for temporary DOM ids.
+  var idCounter = 0;
+  function uniqueId(prefix) {
+    var id = ++idCounter + '';
+    return prefix ? prefix + id : id;
+  }
+
+  // Start chaining a wrapped Underscore object.
+  function chain(obj) {
+    var instance = _$1(obj);
+    instance._chain = true;
+    return instance;
+  }
+
+  // Internal function to execute `sourceFunc` bound to `context` with optional
+  // `args`. Determines whether to execute a function as a constructor or as a
+  // normal function.
+  function executeBound(sourceFunc, boundFunc, context, callingContext, args) {
+    if (!(callingContext instanceof boundFunc)) return sourceFunc.apply(context, args);
+    var self = baseCreate(sourceFunc.prototype);
+    var result = sourceFunc.apply(self, args);
+    if (isObject(result)) return result;
+    return self;
+  }
+
+  // Partially apply a function by creating a version that has had some of its
+  // arguments pre-filled, without changing its dynamic `this` context. `_` acts
+  // as a placeholder by default, allowing any combination of arguments to be
+  // pre-filled. Set `_.partial.placeholder` for a custom placeholder argument.
+  var partial = restArguments(function(func, boundArgs) {
+    var placeholder = partial.placeholder;
+    var bound = function() {
+      var position = 0, length = boundArgs.length;
+      var args = Array(length);
+      for (var i = 0; i < length; i++) {
+        args[i] = boundArgs[i] === placeholder ? arguments[position++] : boundArgs[i];
+      }
+      while (position < arguments.length) args.push(arguments[position++]);
+      return executeBound(func, bound, this, this, args);
+    };
+    return bound;
+  });
+
+  partial.placeholder = _$1;
+
+  // Create a function bound to a given object (assigning `this`, and arguments,
+  // optionally).
+  var bind = restArguments(function(func, context, args) {
+    if (!isFunction$1(func)) throw new TypeError('Bind must be called on a function');
+    var bound = restArguments(function(callArgs) {
+      return executeBound(func, bound, context, this, args.concat(callArgs));
+    });
+    return bound;
+  });
+
+  // Internal helper for collection methods to determine whether a collection
+  // should be iterated as an array or as an object.
+  // Related: https://people.mozilla.org/~jorendorff/es6-draft.html#sec-tolength
+  // Avoids a very nasty iOS 8 JIT bug on ARM-64. #2094
+  var isArrayLike = createSizePropertyCheck(getLength);
+
+  // Internal implementation of a recursive `flatten` function.
+  function flatten$1(input, depth, strict, output) {
+    output = output || [];
+    if (!depth && depth !== 0) {
+      depth = Infinity;
+    } else if (depth <= 0) {
+      return output.concat(input);
+    }
+    var idx = output.length;
+    for (var i = 0, length = getLength(input); i < length; i++) {
+      var value = input[i];
+      if (isArrayLike(value) && (isArray(value) || isArguments$1(value))) {
+        // Flatten current level of array or arguments object.
+        if (depth > 1) {
+          flatten$1(value, depth - 1, strict, output);
+          idx = output.length;
+        } else {
+          var j = 0, len = value.length;
+          while (j < len) output[idx++] = value[j++];
+        }
+      } else if (!strict) {
+        output[idx++] = value;
+      }
+    }
+    return output;
+  }
+
+  // Bind a number of an object's methods to that object. Remaining arguments
+  // are the method names to be bound. Useful for ensuring that all callbacks
+  // defined on an object belong to it.
+  var bindAll = restArguments(function(obj, keys) {
+    keys = flatten$1(keys, false, false);
+    var index = keys.length;
+    if (index < 1) throw new Error('bindAll must be passed function names');
+    while (index--) {
+      var key = keys[index];
+      obj[key] = bind(obj[key], obj);
+    }
+    return obj;
+  });
+
+  // Memoize an expensive function by storing its results.
+  function memoize(func, hasher) {
+    var memoize = function(key) {
+      var cache = memoize.cache;
+      var address = '' + (hasher ? hasher.apply(this, arguments) : key);
+      if (!has$1(cache, address)) cache[address] = func.apply(this, arguments);
+      return cache[address];
+    };
+    memoize.cache = {};
+    return memoize;
+  }
+
+  // Delays a function for the given number of milliseconds, and then calls
+  // it with the arguments supplied.
+  var delay = restArguments(function(func, wait, args) {
+    return setTimeout(function() {
+      return func.apply(null, args);
+    }, wait);
+  });
+
+  // Defers a function, scheduling it to run after the current call stack has
+  // cleared.
+  var defer = partial(delay, _$1, 1);
+
+  // Returns a function, that, when invoked, will only be triggered at most once
+  // during a given window of time. Normally, the throttled function will run
+  // as much as it can, without ever going more than once per `wait` duration;
+  // but if you'd like to disable the execution on the leading edge, pass
+  // `{leading: false}`. To disable execution on the trailing edge, ditto.
+  function throttle(func, wait, options) {
+    var timeout, context, args, result;
+    var previous = 0;
+    if (!options) options = {};
+
+    var later = function() {
+      previous = options.leading === false ? 0 : now();
+      timeout = null;
+      result = func.apply(context, args);
+      if (!timeout) context = args = null;
+    };
+
+    var throttled = function() {
+      var _now = now();
+      if (!previous && options.leading === false) previous = _now;
+      var remaining = wait - (_now - previous);
+      context = this;
+      args = arguments;
+      if (remaining <= 0 || remaining > wait) {
+        if (timeout) {
+          clearTimeout(timeout);
+          timeout = null;
+        }
+        previous = _now;
+        result = func.apply(context, args);
+        if (!timeout) context = args = null;
+      } else if (!timeout && options.trailing !== false) {
+        timeout = setTimeout(later, remaining);
+      }
+      return result;
+    };
+
+    throttled.cancel = function() {
+      clearTimeout(timeout);
+      previous = 0;
+      timeout = context = args = null;
+    };
+
+    return throttled;
+  }
+
+  // When a sequence of calls of the returned function ends, the argument
+  // function is triggered. The end of a sequence is defined by the `wait`
+  // parameter. If `immediate` is passed, the argument function will be
+  // triggered at the beginning of the sequence instead of at the end.
+  function debounce(func, wait, immediate) {
+    var timeout, previous, args, result, context;
+
+    var later = function() {
+      var passed = now() - previous;
+      if (wait > passed) {
+        timeout = setTimeout(later, wait - passed);
+      } else {
+        timeout = null;
+        if (!immediate) result = func.apply(context, args);
+        // This check is needed because `func` can recursively invoke `debounced`.
+        if (!timeout) args = context = null;
+      }
+    };
+
+    var debounced = restArguments(function(_args) {
+      context = this;
+      args = _args;
+      previous = now();
+      if (!timeout) {
+        timeout = setTimeout(later, wait);
+        if (immediate) result = func.apply(context, args);
+      }
+      return result;
+    });
+
+    debounced.cancel = function() {
+      clearTimeout(timeout);
+      timeout = args = context = null;
+    };
+
+    return debounced;
+  }
+
+  // Returns the first function passed as an argument to the second,
+  // allowing you to adjust arguments, run code before and after, and
+  // conditionally execute the original function.
+  function wrap(func, wrapper) {
+    return partial(wrapper, func);
+  }
+
+  // Returns a negated version of the passed-in predicate.
+  function negate(predicate) {
+    return function() {
+      return !predicate.apply(this, arguments);
+    };
+  }
+
+  // Returns a function that is the composition of a list of functions, each
+  // consuming the return value of the function that follows.
+  function compose() {
+    var args = arguments;
+    var start = args.length - 1;
+    return function() {
+      var i = start;
+      var result = args[start].apply(this, arguments);
+      while (i--) result = args[i].call(this, result);
+      return result;
+    };
+  }
+
+  // Returns a function that will only be executed on and after the Nth call.
+  function after(times, func) {
+    return function() {
+      if (--times < 1) {
+        return func.apply(this, arguments);
+      }
+    };
+  }
+
+  // Returns a function that will only be executed up to (but not including) the
+  // Nth call.
+  function before(times, func) {
+    var memo;
+    return function() {
+      if (--times > 0) {
+        memo = func.apply(this, arguments);
+      }
+      if (times <= 1) func = null;
+      return memo;
+    };
+  }
+
+  // Returns a function that will be executed at most one time, no matter how
+  // often you call it. Useful for lazy initialization.
+  var once = partial(before, 2);
+
+  // Returns the first key on an object that passes a truth test.
+  function findKey(obj, predicate, context) {
+    predicate = cb(predicate, context);
+    var _keys = keys(obj), key;
+    for (var i = 0, length = _keys.length; i < length; i++) {
+      key = _keys[i];
+      if (predicate(obj[key], key, obj)) return key;
+    }
+  }
+
+  // Internal function to generate `_.findIndex` and `_.findLastIndex`.
+  function createPredicateIndexFinder(dir) {
+    return function(array, predicate, context) {
+      predicate = cb(predicate, context);
+      var length = getLength(array);
+      var index = dir > 0 ? 0 : length - 1;
+      for (; index >= 0 && index < length; index += dir) {
+        if (predicate(array[index], index, array)) return index;
+      }
+      return -1;
+    };
+  }
+
+  // Returns the first index on an array-like that passes a truth test.
+  var findIndex = createPredicateIndexFinder(1);
+
+  // Returns the last index on an array-like that passes a truth test.
+  var findLastIndex = createPredicateIndexFinder(-1);
+
+  // Use a comparator function to figure out the smallest index at which
+  // an object should be inserted so as to maintain order. Uses binary search.
+  function sortedIndex(array, obj, iteratee, context) {
+    iteratee = cb(iteratee, context, 1);
+    var value = iteratee(obj);
+    var low = 0, high = getLength(array);
+    while (low < high) {
+      var mid = Math.floor((low + high) / 2);
+      if (iteratee(array[mid]) < value) low = mid + 1; else high = mid;
+    }
+    return low;
+  }
+
+  // Internal function to generate the `_.indexOf` and `_.lastIndexOf` functions.
+  function createIndexFinder(dir, predicateFind, sortedIndex) {
+    return function(array, item, idx) {
+      var i = 0, length = getLength(array);
+      if (typeof idx == 'number') {
+        if (dir > 0) {
+          i = idx >= 0 ? idx : Math.max(idx + length, i);
+        } else {
+          length = idx >= 0 ? Math.min(idx + 1, length) : idx + length + 1;
+        }
+      } else if (sortedIndex && idx && length) {
+        idx = sortedIndex(array, item);
+        return array[idx] === item ? idx : -1;
+      }
+      if (item !== item) {
+        idx = predicateFind(slice.call(array, i, length), isNaN$1);
+        return idx >= 0 ? idx + i : -1;
+      }
+      for (idx = dir > 0 ? i : length - 1; idx >= 0 && idx < length; idx += dir) {
+        if (array[idx] === item) return idx;
+      }
+      return -1;
+    };
+  }
+
+  // Return the position of the first occurrence of an item in an array,
+  // or -1 if the item is not included in the array.
+  // If the array is large and already in sort order, pass `true`
+  // for **isSorted** to use binary search.
+  var indexOf = createIndexFinder(1, findIndex, sortedIndex);
+
+  // Return the position of the last occurrence of an item in an array,
+  // or -1 if the item is not included in the array.
+  var lastIndexOf = createIndexFinder(-1, findLastIndex);
+
+  // Return the first value which passes a truth test.
+  function find(obj, predicate, context) {
+    var keyFinder = isArrayLike(obj) ? findIndex : findKey;
+    var key = keyFinder(obj, predicate, context);
+    if (key !== void 0 && key !== -1) return obj[key];
+  }
+
+  // Convenience version of a common use case of `_.find`: getting the first
+  // object containing specific `key:value` pairs.
+  function findWhere(obj, attrs) {
+    return find(obj, matcher(attrs));
+  }
+
+  // The cornerstone for collection functions, an `each`
+  // implementation, aka `forEach`.
+  // Handles raw objects in addition to array-likes. Treats all
+  // sparse array-likes as if they were dense.
+  function each(obj, iteratee, context) {
+    iteratee = optimizeCb(iteratee, context);
+    var i, length;
+    if (isArrayLike(obj)) {
+      for (i = 0, length = obj.length; i < length; i++) {
+        iteratee(obj[i], i, obj);
+      }
+    } else {
+      var _keys = keys(obj);
+      for (i = 0, length = _keys.length; i < length; i++) {
+        iteratee(obj[_keys[i]], _keys[i], obj);
+      }
+    }
+    return obj;
+  }
+
+  // Return the results of applying the iteratee to each element.
+  function map(obj, iteratee, context) {
+    iteratee = cb(iteratee, context);
+    var _keys = !isArrayLike(obj) && keys(obj),
+        length = (_keys || obj).length,
+        results = Array(length);
+    for (var index = 0; index < length; index++) {
+      var currentKey = _keys ? _keys[index] : index;
+      results[index] = iteratee(obj[currentKey], currentKey, obj);
+    }
+    return results;
+  }
+
+  // Internal helper to create a reducing function, iterating left or right.
+  function createReduce(dir) {
+    // Wrap code that reassigns argument variables in a separate function than
+    // the one that accesses `arguments.length` to avoid a perf hit. (#1991)
+    var reducer = function(obj, iteratee, memo, initial) {
+      var _keys = !isArrayLike(obj) && keys(obj),
+          length = (_keys || obj).length,
+          index = dir > 0 ? 0 : length - 1;
+      if (!initial) {
+        memo = obj[_keys ? _keys[index] : index];
+        index += dir;
+      }
+      for (; index >= 0 && index < length; index += dir) {
+        var currentKey = _keys ? _keys[index] : index;
+        memo = iteratee(memo, obj[currentKey], currentKey, obj);
+      }
+      return memo;
+    };
+
+    return function(obj, iteratee, memo, context) {
+      var initial = arguments.length >= 3;
+      return reducer(obj, optimizeCb(iteratee, context, 4), memo, initial);
+    };
+  }
+
+  // **Reduce** builds up a single result from a list of values, aka `inject`,
+  // or `foldl`.
+  var reduce = createReduce(1);
+
+  // The right-associative version of reduce, also known as `foldr`.
+  var reduceRight = createReduce(-1);
+
+  // Return all the elements that pass a truth test.
+  function filter(obj, predicate, context) {
+    var results = [];
+    predicate = cb(predicate, context);
+    each(obj, function(value, index, list) {
+      if (predicate(value, index, list)) results.push(value);
+    });
+    return results;
+  }
+
+  // Return all the elements for which a truth test fails.
+  function reject(obj, predicate, context) {
+    return filter(obj, negate(cb(predicate)), context);
+  }
+
+  // Determine whether all of the elements pass a truth test.
+  function every(obj, predicate, context) {
+    predicate = cb(predicate, context);
+    var _keys = !isArrayLike(obj) && keys(obj),
+        length = (_keys || obj).length;
+    for (var index = 0; index < length; index++) {
+      var currentKey = _keys ? _keys[index] : index;
+      if (!predicate(obj[currentKey], currentKey, obj)) return false;
+    }
+    return true;
+  }
+
+  // Determine if at least one element in the object passes a truth test.
+  function some(obj, predicate, context) {
+    predicate = cb(predicate, context);
+    var _keys = !isArrayLike(obj) && keys(obj),
+        length = (_keys || obj).length;
+    for (var index = 0; index < length; index++) {
+      var currentKey = _keys ? _keys[index] : index;
+      if (predicate(obj[currentKey], currentKey, obj)) return true;
+    }
+    return false;
+  }
+
+  // Determine if the array or object contains a given item (using `===`).
+  function contains(obj, item, fromIndex, guard) {
+    if (!isArrayLike(obj)) obj = values(obj);
+    if (typeof fromIndex != 'number' || guard) fromIndex = 0;
+    return indexOf(obj, item, fromIndex) >= 0;
+  }
+
+  // Invoke a method (with arguments) on every item in a collection.
+  var invoke = restArguments(function(obj, path, args) {
+    var contextPath, func;
+    if (isFunction$1(path)) {
+      func = path;
+    } else {
+      path = toPath(path);
+      contextPath = path.slice(0, -1);
+      path = path[path.length - 1];
+    }
+    return map(obj, function(context) {
+      var method = func;
+      if (!method) {
+        if (contextPath && contextPath.length) {
+          context = deepGet(context, contextPath);
+        }
+        if (context == null) return void 0;
+        method = context[path];
+      }
+      return method == null ? method : method.apply(context, args);
+    });
+  });
+
+  // Convenience version of a common use case of `_.map`: fetching a property.
+  function pluck(obj, key) {
+    return map(obj, property(key));
+  }
+
+  // Convenience version of a common use case of `_.filter`: selecting only
+  // objects containing specific `key:value` pairs.
+  function where(obj, attrs) {
+    return filter(obj, matcher(attrs));
+  }
+
+  // Return the maximum element (or element-based computation).
+  function max(obj, iteratee, context) {
+    var result = -Infinity, lastComputed = -Infinity,
+        value, computed;
+    if (iteratee == null || typeof iteratee == 'number' && typeof obj[0] != 'object' && obj != null) {
+      obj = isArrayLike(obj) ? obj : values(obj);
+      for (var i = 0, length = obj.length; i < length; i++) {
+        value = obj[i];
+        if (value != null && value > result) {
+          result = value;
+        }
+      }
+    } else {
+      iteratee = cb(iteratee, context);
+      each(obj, function(v, index, list) {
+        computed = iteratee(v, index, list);
+        if (computed > lastComputed || computed === -Infinity && result === -Infinity) {
+          result = v;
+          lastComputed = computed;
+        }
+      });
+    }
+    return result;
+  }
+
+  // Return the minimum element (or element-based computation).
+  function min(obj, iteratee, context) {
+    var result = Infinity, lastComputed = Infinity,
+        value, computed;
+    if (iteratee == null || typeof iteratee == 'number' && typeof obj[0] != 'object' && obj != null) {
+      obj = isArrayLike(obj) ? obj : values(obj);
+      for (var i = 0, length = obj.length; i < length; i++) {
+        value = obj[i];
+        if (value != null && value < result) {
+          result = value;
+        }
+      }
+    } else {
+      iteratee = cb(iteratee, context);
+      each(obj, function(v, index, list) {
+        computed = iteratee(v, index, list);
+        if (computed < lastComputed || computed === Infinity && result === Infinity) {
+          result = v;
+          lastComputed = computed;
+        }
+      });
+    }
+    return result;
+  }
+
+  // Sample **n** random values from a collection using the modern version of the
+  // [Fisher-Yates shuffle](https://en.wikipedia.org/wiki/Fisher–Yates_shuffle).
+  // If **n** is not specified, returns a single random element.
+  // The internal `guard` argument allows it to work with `_.map`.
+  function sample(obj, n, guard) {
+    if (n == null || guard) {
+      if (!isArrayLike(obj)) obj = values(obj);
+      return obj[random(obj.length - 1)];
+    }
+    var sample = isArrayLike(obj) ? clone(obj) : values(obj);
+    var length = getLength(sample);
+    n = Math.max(Math.min(n, length), 0);
+    var last = length - 1;
+    for (var index = 0; index < n; index++) {
+      var rand = random(index, last);
+      var temp = sample[index];
+      sample[index] = sample[rand];
+      sample[rand] = temp;
+    }
+    return sample.slice(0, n);
+  }
+
+  // Shuffle a collection.
+  function shuffle(obj) {
+    return sample(obj, Infinity);
+  }
+
+  // Sort the object's values by a criterion produced by an iteratee.
+  function sortBy(obj, iteratee, context) {
+    var index = 0;
+    iteratee = cb(iteratee, context);
+    return pluck(map(obj, function(value, key, list) {
+      return {
+        value: value,
+        index: index++,
+        criteria: iteratee(value, key, list)
+      };
+    }).sort(function(left, right) {
+      var a = left.criteria;
+      var b = right.criteria;
+      if (a !== b) {
+        if (a > b || a === void 0) return 1;
+        if (a < b || b === void 0) return -1;
+      }
+      return left.index - right.index;
+    }), 'value');
+  }
+
+  // An internal function used for aggregate "group by" operations.
+  function group(behavior, partition) {
+    return function(obj, iteratee, context) {
+      var result = partition ? [[], []] : {};
+      iteratee = cb(iteratee, context);
+      each(obj, function(value, index) {
+        var key = iteratee(value, index, obj);
+        behavior(result, value, key);
+      });
+      return result;
+    };
+  }
+
+  // Groups the object's values by a criterion. Pass either a string attribute
+  // to group by, or a function that returns the criterion.
+  var groupBy = group(function(result, value, key) {
+    if (has$1(result, key)) result[key].push(value); else result[key] = [value];
+  });
+
+  // Indexes the object's values by a criterion, similar to `_.groupBy`, but for
+  // when you know that your index values will be unique.
+  var indexBy = group(function(result, value, key) {
+    result[key] = value;
+  });
+
+  // Counts instances of an object that group by a certain criterion. Pass
+  // either a string attribute to count by, or a function that returns the
+  // criterion.
+  var countBy = group(function(result, value, key) {
+    if (has$1(result, key)) result[key]++; else result[key] = 1;
+  });
+
+  // Split a collection into two arrays: one whose elements all pass the given
+  // truth test, and one whose elements all do not pass the truth test.
+  var partition = group(function(result, value, pass) {
+    result[pass ? 0 : 1].push(value);
+  }, true);
+
+  // Safely create a real, live array from anything iterable.
+  var reStrSymbol = /[^\ud800-\udfff]|[\ud800-\udbff][\udc00-\udfff]|[\ud800-\udfff]/g;
+  function toArray(obj) {
+    if (!obj) return [];
+    if (isArray(obj)) return slice.call(obj);
+    if (isString(obj)) {
+      // Keep surrogate pair characters together.
+      return obj.match(reStrSymbol);
+    }
+    if (isArrayLike(obj)) return map(obj, identity);
+    return values(obj);
+  }
+
+  // Return the number of elements in a collection.
+  function size(obj) {
+    if (obj == null) return 0;
+    return isArrayLike(obj) ? obj.length : keys(obj).length;
+  }
+
+  // Internal `_.pick` helper function to determine whether `key` is an enumerable
+  // property name of `obj`.
+  function keyInObj(value, key, obj) {
+    return key in obj;
+  }
+
+  // Return a copy of the object only containing the allowed properties.
+  var pick = restArguments(function(obj, keys) {
+    var result = {}, iteratee = keys[0];
+    if (obj == null) return result;
+    if (isFunction$1(iteratee)) {
+      if (keys.length > 1) iteratee = optimizeCb(iteratee, keys[1]);
+      keys = allKeys(obj);
+    } else {
+      iteratee = keyInObj;
+      keys = flatten$1(keys, false, false);
+      obj = Object(obj);
+    }
+    for (var i = 0, length = keys.length; i < length; i++) {
+      var key = keys[i];
+      var value = obj[key];
+      if (iteratee(value, key, obj)) result[key] = value;
+    }
+    return result;
+  });
+
+  // Return a copy of the object without the disallowed properties.
+  var omit = restArguments(function(obj, keys) {
+    var iteratee = keys[0], context;
+    if (isFunction$1(iteratee)) {
+      iteratee = negate(iteratee);
+      if (keys.length > 1) context = keys[1];
+    } else {
+      keys = map(flatten$1(keys, false, false), String);
+      iteratee = function(value, key) {
+        return !contains(keys, key);
+      };
+    }
+    return pick(obj, iteratee, context);
+  });
+
+  // Returns everything but the last entry of the array. Especially useful on
+  // the arguments object. Passing **n** will return all the values in
+  // the array, excluding the last N.
+  function initial(array, n, guard) {
+    return slice.call(array, 0, Math.max(0, array.length - (n == null || guard ? 1 : n)));
+  }
+
+  // Get the first element of an array. Passing **n** will return the first N
+  // values in the array. The **guard** check allows it to work with `_.map`.
+  function first(array, n, guard) {
+    if (array == null || array.length < 1) return n == null || guard ? void 0 : [];
+    if (n == null || guard) return array[0];
+    return initial(array, array.length - n);
+  }
+
+  // Returns everything but the first entry of the `array`. Especially useful on
+  // the `arguments` object. Passing an **n** will return the rest N values in the
+  // `array`.
+  function rest(array, n, guard) {
+    return slice.call(array, n == null || guard ? 1 : n);
+  }
+
+  // Get the last element of an array. Passing **n** will return the last N
+  // values in the array.
+  function last(array, n, guard) {
+    if (array == null || array.length < 1) return n == null || guard ? void 0 : [];
+    if (n == null || guard) return array[array.length - 1];
+    return rest(array, Math.max(0, array.length - n));
+  }
+
+  // Trim out all falsy values from an array.
+  function compact(array) {
+    return filter(array, Boolean);
+  }
+
+  // Flatten out an array, either recursively (by default), or up to `depth`.
+  // Passing `true` or `false` as `depth` means `1` or `Infinity`, respectively.
+  function flatten(array, depth) {
+    return flatten$1(array, depth, false);
+  }
+
+  // Take the difference between one array and a number of other arrays.
+  // Only the elements present in just the first array will remain.
+  var difference = restArguments(function(array, rest) {
+    rest = flatten$1(rest, true, true);
+    return filter(array, function(value){
+      return !contains(rest, value);
+    });
+  });
+
+  // Return a version of the array that does not contain the specified value(s).
+  var without = restArguments(function(array, otherArrays) {
+    return difference(array, otherArrays);
+  });
+
+  // Produce a duplicate-free version of the array. If the array has already
+  // been sorted, you have the option of using a faster algorithm.
+  // The faster algorithm will not work with an iteratee if the iteratee
+  // is not a one-to-one function, so providing an iteratee will disable
+  // the faster algorithm.
+  function uniq(array, isSorted, iteratee, context) {
+    if (!isBoolean(isSorted)) {
+      context = iteratee;
+      iteratee = isSorted;
+      isSorted = false;
+    }
+    if (iteratee != null) iteratee = cb(iteratee, context);
+    var result = [];
+    var seen = [];
+    for (var i = 0, length = getLength(array); i < length; i++) {
+      var value = array[i],
+          computed = iteratee ? iteratee(value, i, array) : value;
+      if (isSorted && !iteratee) {
+        if (!i || seen !== computed) result.push(value);
+        seen = computed;
+      } else if (iteratee) {
+        if (!contains(seen, computed)) {
+          seen.push(computed);
+          result.push(value);
+        }
+      } else if (!contains(result, value)) {
+        result.push(value);
+      }
+    }
+    return result;
+  }
+
+  // Produce an array that contains the union: each distinct element from all of
+  // the passed-in arrays.
+  var union = restArguments(function(arrays) {
+    return uniq(flatten$1(arrays, true, true));
+  });
+
+  // Produce an array that contains every item shared between all the
+  // passed-in arrays.
+  function intersection(array) {
+    var result = [];
+    var argsLength = arguments.length;
+    for (var i = 0, length = getLength(array); i < length; i++) {
+      var item = array[i];
+      if (contains(result, item)) continue;
+      var j;
+      for (j = 1; j < argsLength; j++) {
+        if (!contains(arguments[j], item)) break;
+      }
+      if (j === argsLength) result.push(item);
+    }
+    return result;
+  }
+
+  // Complement of zip. Unzip accepts an array of arrays and groups
+  // each array's elements on shared indices.
+  function unzip(array) {
+    var length = array && max(array, getLength).length || 0;
+    var result = Array(length);
+
+    for (var index = 0; index < length; index++) {
+      result[index] = pluck(array, index);
+    }
+    return result;
+  }
+
+  // Zip together multiple lists into a single array -- elements that share
+  // an index go together.
+  var zip = restArguments(unzip);
+
+  // Converts lists into objects. Pass either a single array of `[key, value]`
+  // pairs, or two parallel arrays of the same length -- one of keys, and one of
+  // the corresponding values. Passing by pairs is the reverse of `_.pairs`.
+  function object(list, values) {
+    var result = {};
+    for (var i = 0, length = getLength(list); i < length; i++) {
+      if (values) {
+        result[list[i]] = values[i];
+      } else {
+        result[list[i][0]] = list[i][1];
+      }
+    }
+    return result;
+  }
+
+  // Generate an integer Array containing an arithmetic progression. A port of
+  // the native Python `range()` function. See
+  // [the Python documentation](https://docs.python.org/library/functions.html#range).
+  function range(start, stop, step) {
+    if (stop == null) {
+      stop = start || 0;
+      start = 0;
+    }
+    if (!step) {
+      step = stop < start ? -1 : 1;
+    }
+
+    var length = Math.max(Math.ceil((stop - start) / step), 0);
+    var range = Array(length);
+
+    for (var idx = 0; idx < length; idx++, start += step) {
+      range[idx] = start;
+    }
+
+    return range;
+  }
+
+  // Chunk a single array into multiple arrays, each containing `count` or fewer
+  // items.
+  function chunk(array, count) {
+    if (count == null || count < 1) return [];
+    var result = [];
+    var i = 0, length = array.length;
+    while (i < length) {
+      result.push(slice.call(array, i, i += count));
+    }
+    return result;
+  }
+
+  // Helper function to continue chaining intermediate results.
+  function chainResult(instance, obj) {
+    return instance._chain ? _$1(obj).chain() : obj;
+  }
+
+  // Add your own custom functions to the Underscore object.
+  function mixin(obj) {
+    each(functions(obj), function(name) {
+      var func = _$1[name] = obj[name];
+      _$1.prototype[name] = function() {
+        var args = [this._wrapped];
+        push.apply(args, arguments);
+        return chainResult(this, func.apply(_$1, args));
+      };
+    });
+    return _$1;
+  }
+
+  // Add all mutator `Array` functions to the wrapper.
+  each(['pop', 'push', 'reverse', 'shift', 'sort', 'splice', 'unshift'], function(name) {
+    var method = ArrayProto[name];
+    _$1.prototype[name] = function() {
+      var obj = this._wrapped;
+      if (obj != null) {
+        method.apply(obj, arguments);
+        if ((name === 'shift' || name === 'splice') && obj.length === 0) {
+          delete obj[0];
+        }
+      }
+      return chainResult(this, obj);
+    };
+  });
+
+  // Add all accessor `Array` functions to the wrapper.
+  each(['concat', 'join', 'slice'], function(name) {
+    var method = ArrayProto[name];
+    _$1.prototype[name] = function() {
+      var obj = this._wrapped;
+      if (obj != null) obj = method.apply(obj, arguments);
+      return chainResult(this, obj);
+    };
+  });
+
+  // Named Exports
+
+  var allExports = {
+    __proto__: null,
+    VERSION: VERSION,
+    restArguments: restArguments,
+    isObject: isObject,
+    isNull: isNull,
+    isUndefined: isUndefined,
+    isBoolean: isBoolean,
+    isElement: isElement,
+    isString: isString,
+    isNumber: isNumber,
+    isDate: isDate,
+    isRegExp: isRegExp,
+    isError: isError,
+    isSymbol: isSymbol,
+    isArrayBuffer: isArrayBuffer,
+    isDataView: isDataView$1,
+    isArray: isArray,
+    isFunction: isFunction$1,
+    isArguments: isArguments$1,
+    isFinite: isFinite$1,
+    isNaN: isNaN$1,
+    isTypedArray: isTypedArray$1,
+    isEmpty: isEmpty,
+    isMatch: isMatch,
+    isEqual: isEqual,
+    isMap: isMap,
+    isWeakMap: isWeakMap,
+    isSet: isSet,
+    isWeakSet: isWeakSet,
+    keys: keys,
+    allKeys: allKeys,
+    values: values,
+    pairs: pairs,
+    invert: invert,
+    functions: functions,
+    methods: functions,
+    extend: extend,
+    extendOwn: extendOwn,
+    assign: extendOwn,
+    defaults: defaults,
+    create: create,
+    clone: clone,
+    tap: tap,
+    get: get,
+    has: has,
+    mapObject: mapObject,
+    identity: identity,
+    constant: constant,
+    noop: noop,
+    toPath: toPath$1,
+    property: property,
+    propertyOf: propertyOf,
+    matcher: matcher,
+    matches: matcher,
+    times: times,
+    random: random,
+    now: now,
+    escape: _escape,
+    unescape: _unescape,
+    templateSettings: templateSettings,
+    template: template,
+    result: result,
+    uniqueId: uniqueId,
+    chain: chain,
+    iteratee: iteratee,
+    partial: partial,
+    bind: bind,
+    bindAll: bindAll,
+    memoize: memoize,
+    delay: delay,
+    defer: defer,
+    throttle: throttle,
+    debounce: debounce,
+    wrap: wrap,
+    negate: negate,
+    compose: compose,
+    after: after,
+    before: before,
+    once: once,
+    findKey: findKey,
+    findIndex: findIndex,
+    findLastIndex: findLastIndex,
+    sortedIndex: sortedIndex,
+    indexOf: indexOf,
+    lastIndexOf: lastIndexOf,
+    find: find,
+    detect: find,
+    findWhere: findWhere,
+    each: each,
+    forEach: each,
+    map: map,
+    collect: map,
+    reduce: reduce,
+    foldl: reduce,
+    inject: reduce,
+    reduceRight: reduceRight,
+    foldr: reduceRight,
+    filter: filter,
+    select: filter,
+    reject: reject,
+    every: every,
+    all: every,
+    some: some,
+    any: some,
+    contains: contains,
+    includes: contains,
+    include: contains,
+    invoke: invoke,
+    pluck: pluck,
+    where: where,
+    max: max,
+    min: min,
+    shuffle: shuffle,
+    sample: sample,
+    sortBy: sortBy,
+    groupBy: groupBy,
+    indexBy: indexBy,
+    countBy: countBy,
+    partition: partition,
+    toArray: toArray,
+    size: size,
+    pick: pick,
+    omit: omit,
+    first: first,
+    head: first,
+    take: first,
+    initial: initial,
+    last: last,
+    rest: rest,
+    tail: rest,
+    drop: rest,
+    compact: compact,
+    flatten: flatten,
+    without: without,
+    uniq: uniq,
+    unique: uniq,
+    union: union,
+    intersection: intersection,
+    difference: difference,
+    unzip: unzip,
+    transpose: unzip,
+    zip: zip,
+    object: object,
+    range: range,
+    chunk: chunk,
+    mixin: mixin,
+    'default': _$1
+  };
+
+  // Default Export
+
+  // Add all of the Underscore functions to the wrapper object.
+  var _ = mixin(allExports);
+  // Legacy Node.js API.
+  _._ = _;
+
+  return _;
+
+})));
+//# sourceMappingURL=underscore-umd.js.map
diff --git a/_preview/40/_static/underscore.js b/_preview/40/_static/underscore.js
new file mode 100644
index 0000000..cf177d4
--- /dev/null
+++ b/_preview/40/_static/underscore.js
@@ -0,0 +1,6 @@
+!function(n,r){"object"==typeof exports&&"undefined"!=typeof module?module.exports=r():"function"==typeof define&&define.amd?define("underscore",r):(n="undefined"!=typeof globalThis?globalThis:n||self,function(){var t=n._,e=n._=r();e.noConflict=function(){return n._=t,e}}())}(this,(function(){
+//     Underscore.js 1.13.1
+//     https://underscorejs.org
+//     (c) 2009-2021 Jeremy Ashkenas, Julian Gonggrijp, and DocumentCloud and Investigative Reporters & Editors
+//     Underscore may be freely distributed under the MIT license.
+var n="1.13.1",r="object"==typeof self&&self.self===self&&self||"object"==typeof global&&global.global===global&&global||Function("return this")()||{},t=Array.prototype,e=Object.prototype,u="undefined"!=typeof Symbol?Symbol.prototype:null,o=t.push,i=t.slice,a=e.toString,f=e.hasOwnProperty,c="undefined"!=typeof ArrayBuffer,l="undefined"!=typeof DataView,s=Array.isArray,p=Object.keys,v=Object.create,h=c&&ArrayBuffer.isView,y=isNaN,d=isFinite,g=!{toString:null}.propertyIsEnumerable("toString"),b=["valueOf","isPrototypeOf","toString","propertyIsEnumerable","hasOwnProperty","toLocaleString"],m=Math.pow(2,53)-1;function j(n,r){return r=null==r?n.length-1:+r,function(){for(var t=Math.max(arguments.length-r,0),e=Array(t),u=0;u<t;u++)e[u]=arguments[u+r];switch(r){case 0:return n.call(this,e);case 1:return n.call(this,arguments[0],e);case 2:return n.call(this,arguments[0],arguments[1],e)}var o=Array(r+1);for(u=0;u<r;u++)o[u]=arguments[u];return o[r]=e,n.apply(this,o)}}function _(n){var r=typeof 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diff --git a/_preview/40/_static/vendor/fontawesome/5.13.0/LICENSE.txt b/_preview/40/_static/vendor/fontawesome/5.13.0/LICENSE.txt
new file mode 100644
index 0000000..f31bef9
--- /dev/null
+++ b/_preview/40/_static/vendor/fontawesome/5.13.0/LICENSE.txt
@@ -0,0 +1,34 @@
+Font Awesome Free License
+-------------------------
+
+Font Awesome Free is free, open source, and GPL friendly. You can use it for
+commercial projects, open source projects, or really almost whatever you want.
+Full Font Awesome Free license: https://fontawesome.com/license/free.
+
+# Icons: CC BY 4.0 License (https://creativecommons.org/licenses/by/4.0/)
+In the Font Awesome Free download, the CC BY 4.0 license applies to all icons
+packaged as SVG and JS file types.
+
+# Fonts: SIL OFL 1.1 License (https://scripts.sil.org/OFL)
+In the Font Awesome Free download, the SIL OFL license applies to all icons
+packaged as web and desktop font files.
+
+# Code: MIT License (https://opensource.org/licenses/MIT)
+In the Font Awesome Free download, the MIT license applies to all non-font and
+non-icon files.
+
+# Attribution
+Attribution is required by MIT, SIL OFL, and CC BY licenses. Downloaded Font
+Awesome Free files already contain embedded comments with sufficient
+attribution, so you shouldn't need to do anything additional when using these
+files normally.
+
+We've kept attribution comments terse, so we ask that you do not actively work
+to remove them from files, especially code. They're a great way for folks to
+learn about Font Awesome.
+
+# Brand Icons
+All brand icons are trademarks of their respective owners. The use of these
+trademarks does not indicate endorsement of the trademark holder by Font
+Awesome, nor vice versa. **Please do not use brand logos for any purpose except
+to represent the company, product, or service to which they refer.**
diff --git a/_preview/40/_static/vendor/fontawesome/5.13.0/css/all.min.css b/_preview/40/_static/vendor/fontawesome/5.13.0/css/all.min.css
new file mode 100644
index 0000000..3d28ab2
--- /dev/null
+++ b/_preview/40/_static/vendor/fontawesome/5.13.0/css/all.min.css
@@ -0,0 +1,5 @@
+/*!
+ * Font Awesome Free 5.13.0 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ */
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diff --git a/_preview/40/_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.eot b/_preview/40/_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.eot
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new file mode 100644
index 0000000..46ad237
--- /dev/null
+++ b/_preview/40/_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.svg
@@ -0,0 +1,3570 @@
+<?xml version="1.0" standalone="no"?>
+<!--
+Font Awesome Free 5.13.0 by @fontawesome - https://fontawesome.com
+License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+-->
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd" >
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" version="1.1">
+<metadata>
+Created by FontForge 20190801 at Mon Mar 23 10:45:51 2020
+ By Robert Madole
+Copyright (c) Font Awesome
+</metadata>
+<defs>
+<font id="FontAwesome5Brands-Regular" horiz-adv-x="448" >
+  <font-face 
+    font-family="Font Awesome 5 Brands Regular"
+    font-weight="400"
+    font-stretch="normal"
+    units-per-em="512"
+    panose-1="2 0 5 3 0 0 0 0 0 0"
+    ascent="448"
+    descent="-64"
+    bbox="-0.200195 -66.9505 641.5 448.3"
+    underline-thickness="25"
+    underline-position="-50"
+    unicode-range="U+0020-F957"
+  />
+    <missing-glyph />
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new file mode 100644
index 0000000..7742838
--- /dev/null
+++ b/_preview/40/_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.svg
@@ -0,0 +1,4938 @@
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+Font Awesome Free 5.13.0 by @fontawesome - https://fontawesome.com
+License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
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+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" version="1.1">
+<metadata>
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+ By Robert Madole
+Copyright (c) Font Awesome
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literal 0
HcmV?d00001

diff --git a/_preview/40/_static/webpack-macros.html b/_preview/40/_static/webpack-macros.html
new file mode 100644
index 0000000..748f33e
--- /dev/null
+++ b/_preview/40/_static/webpack-macros.html
@@ -0,0 +1,25 @@
+<!-- these macros are generated by "yarn build:production". do not edit by hand. -->
+{% macro head_pre_icons() %}
+  <link rel="stylesheet"
+    href="{{ pathto('_static/vendor/fontawesome/5.13.0/css/all.min.css', 1) }}">
+  <link rel="preload" as="font" type="font/woff2" crossorigin
+    href="{{ pathto('_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2', 1) }}">
+  <link rel="preload" as="font" type="font/woff2" crossorigin
+    href="{{ pathto('_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2', 1) }}">
+{% endmacro %}
+
+{% macro head_pre_fonts() %}
+{% endmacro %}
+
+{% macro head_pre_bootstrap() %}
+  <link href="{{ pathto('_static/css/theme.css', 1) }}" rel="stylesheet">
+  <link href="{{ pathto('_static/css/index.ff1ffe594081f20da1ef19478df9384b.css', 1) }}" rel="stylesheet">
+{% endmacro %}
+
+{% macro head_js_preload() %}
+  <link rel="preload" as="script" href="{{ pathto('_static/js/index.be7d3bbb2ef33a8344ce.js', 1) }}">
+{% endmacro %}
+
+{% macro body_post() %}
+  <script src="{{ pathto('_static/js/index.be7d3bbb2ef33a8344ce.js', 1) }}"></script>
+{% endmacro %}
\ No newline at end of file
diff --git a/_preview/40/genindex.html b/_preview/40/genindex.html
new file mode 100644
index 0000000..26efc55
--- /dev/null
+++ b/_preview/40/genindex.html
@@ -0,0 +1,413 @@
+
+<!DOCTYPE html>
+
+<html>
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>Index &#8212; Advanced Visualization Cookbook</title>
+    
+  <link href="_static/css/theme.css" rel="stylesheet">
+  <link href="_static/css/index.ff1ffe594081f20da1ef19478df9384b.css" rel="stylesheet">
+
+    
+  <link rel="stylesheet"
+    href="_static/vendor/fontawesome/5.13.0/css/all.min.css">
+  <link rel="preload" as="font" type="font/woff2" crossorigin
+    href="_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2">
+  <link rel="preload" as="font" type="font/woff2" crossorigin
+    href="_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2">
+
+    
+      
+
+    
+    <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
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+  <a class="reference internal" href="../README.html">
+   Advanced Visualization Cookbook
+  </a>
+ </li>
+</ul>
+<p aria-level="2" class="caption" role="heading">
+ <span class="caption-text">
+  Preamble
+ </span>
+</p>
+<ul class="nav bd-sidenav">
+ <li class="toctree-l1">
+  <a class="reference internal" href="how-to-cite.html">
+   How to Cite This Cookbook
+  </a>
+ </li>
+</ul>
+<p aria-level="2" class="caption" role="heading">
+ <span class="caption-text">
+  Basics of Geoscience Visualization
+ </span>
+</p>
+<ul class="current nav bd-sidenav">
+ <li class="toctree-l1 current active">
+  <a class="current reference internal" href="#">
+   Comparison of Visualization Packages
+  </a>
+ </li>
+ <li class="toctree-l1">
+  <a class="reference internal" href="2-good-viz.html">
+   What Makes for Good Data Visualization?
+  </a>
+ </li>
+ <li class="toctree-l1">
+  <a class="reference internal" href="3-plot-elements.html">
+   Plot Elements
+  </a>
+ </li>
+</ul>
+<p aria-level="2" class="caption" role="heading">
+ <span class="caption-text">
+  Specialty Plots
+ </span>
+</p>
+<ul class="nav bd-sidenav">
+ <li class="toctree-l1">
+  <a class="reference internal" href="4-taylor-diagrams.html">
+   Taylor Diagrams
+  </a>
+ </li>
+ <li class="toctree-l1">
+  <a class="reference internal" href="5-skewt.html">
+   Skew T Diagrams
+  </a>
+ </li>
+</ul>
+<p aria-level="2" class="caption" role="heading">
+ <span class="caption-text">
+  Visualization of Structured Grids
+ </span>
+</p>
+<ul class="nav bd-sidenav">
+ <li class="toctree-l1">
+  <a class="reference internal" href="6-spaghetti.html">
+   Spaghetti Plots
+  </a>
+ </li>
+</ul>
+<p aria-level="2" class="caption" role="heading">
+ <span class="caption-text">
+  Animation
+ </span>
+</p>
+<ul class="nav bd-sidenav">
+ <li class="toctree-l1">
+  <a class="reference internal" href="7-animation.html">
+   Animation
+  </a>
+ </li>
+</ul>
+<p aria-level="2" class="caption" role="heading">
+ <span class="caption-text">
+  Interactivity
+ </span>
+</p>
+<ul class="nav bd-sidenav">
+ <li class="toctree-l1">
+  <a class="reference internal" href="8-interactive-holoviz-mpas.html">
+   HoloViz Visualization
+  </a>
+ </li>
+</ul>
+
+    </div>
+</nav> <!-- To handle the deprecated key -->
+
+<div class="navbar_extra_footer">
+  Theme by <a href="https://projectpythia.org">Project Pythia</a>.<br><br>
+All code in Pythia Cookbooks is licensed under Apache 2.0. All other non-code content is licensed under <a href="https://creativecommons.org/licenses/by/4.0/">Creative Commons BY 4.0 (CC BY 4.0)</a>.<br><br>
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+                class="btn btn-secondary topbarbtn" title="Launch Binder" data-toggle="tooltip"
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+                    alt="Interact on binder">Binder</button></a>
+        
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+        
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+    </div>
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+        </div>
+
+        <!-- Table of contents -->
+        <div class="d-none d-md-block col-md-2 bd-toc show noprint">
+            
+            <div class="tocsection onthispage pt-5 pb-3">
+                <i class="fas fa-list"></i> On this page
+            </div>
+            <nav id="bd-toc-nav" aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#overview">
+   Overview
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#prerequisites">
+   Prerequisites
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#matplotlib">
+   Matplotlib
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#cartopy">
+   Cartopy
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#geocat-viz">
+   GeoCAT-Viz
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#metpy">
+   MetPy
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#vapor">
+   VAPOR
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#plotly">
+   Plotly
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#seaborn">
+   Seaborn
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#bokeh">
+   Bokeh
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#uxarray">
+   UXarray
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#hvplot">
+   hvPlot
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#summary">
+   Summary
+  </a>
+  <ul class="nav section-nav flex-column">
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#whats-next">
+     What’s next?
+    </a>
+   </li>
+  </ul>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#resources-and-references">
+   Resources and references
+  </a>
+ </li>
+</ul>
+
+            </nav>
+        </div>
+    </div>
+</div>
+          <div id="main-content" class="row">
+            <div class="col-12 col-md-9 pl-md-3 pr-md-0">
+              
+              <div>
+                
+  <div class="tex2jax_ignore mathjax_ignore section" id="comparison-of-visualization-packages">
+<h1>Comparison of Visualization Packages<a class="headerlink" href="#comparison-of-visualization-packages" title="Permalink to this headline"><i class="fas fa-link"></i></a></h1>
+<div class="section" id="overview">
+<h2>Overview<a class="headerlink" href="#overview" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>There are nearly endless possibilities when it comes to data visualization in Python. Some of these choices can be overwhelming. This chapter aims to lay out and distinguish different Python visualization libraries so that you are more equipped to make the right choice for your data visualization needs. This Cookbook is not a comprehensive tutorial on these packages, but we can offere enough information and links to documentation or relevant tutorials to help get you started.</p>
+<ol class="arabic simple">
+<li><p>Matplotlib</p></li>
+<li><p>Cartopy</p></li>
+<li><p>GeoCAT-viz</p></li>
+<li><p>MetPy</p></li>
+<li><p>Vapor</p></li>
+<li><p>Plotly</p></li>
+<li><p>Seaborn</p></li>
+<li><p>Bokeh</p></li>
+<li><p>UXarray</p></li>
+<li><p>hvPlot</p></li>
+</ol>
+<div class="admonition alert alert-info">
+<p class="admonition-title">Note</p>
+<p>The plotting libraries mentioned here are either ones used extensively by the authors of this Cookbook OR ones that we get asked about a lot when giving plotting tutorials. This does not cover every library that can be used for plotting in the Python scientific ecosystem, but should cover the more popular packages you might come across.</p>
+</div>
+<p>Missing a plotting library that you use and want others to know more about? <span class="xref myst">Let us know!</span></p>
+</div> </div>
+<div class="section" id="prerequisites">
+<h2>Prerequisites<a class="headerlink" href="#prerequisites" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<table class="colwidths-auto table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Concepts</p></th>
+<th class="head"><p>Importance</p></th>
+<th class="head"><p>Notes</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p><a class="reference external" href="https://foundations.projectpythia.org/core/matplotlib.html">Matplotlib</a></p></td>
+<td><p>Necessary</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference external" href="https://foundations.projectpythia.org/core/cartopy.html">Cartopy</a></p></td>
+<td><p>Necessary</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+<ul class="simple">
+<li><p><strong>Time to learn</strong>: 50 minutes</p></li>
+</ul>
+</div>
+<hr class="docutils" />
+<div class="section" id="matplotlib">
+<h2>Matplotlib<a class="headerlink" href="#matplotlib" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p><a class="reference internal" href="../_images/matplotlib.svg"><img alt="Matplotlib Logo" src="../_images/matplotlib.svg" width="250" /></a></img></p>
+<p>Matplotlib is the workhorse of Python visualization needs. It is a comprehensive plotting library that has the capacity to make static, animated, or interactive visualizations. It is hard to imagine plotting in Python without first getting comfortable with Matplotlib. Be sure to check out the <a class="reference external" href="https://matplotlib.org/">Matplotlib documentation</a> as well as the <a class="reference external" href="https://foundations.projectpythia.org/core/matplotlib.html">Pythia foundations chapter on Matplotlib</a> for guidance.</p>
+<p>Matplotlib’s syntax should feel familiar to anyone who has plotted data in Matlab.</p>
+<p>Here is a <a class="reference external" href="https://matplotlib.org/stable/gallery/lines_bars_and_markers/simple_plot.html">simple plotting example from Matplotlib</a>:</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+<span class="c1"># Data for plotting</span>
+<span class="n">t</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mf">0.0</span><span class="p">,</span> <span class="mf">2.0</span><span class="p">,</span> <span class="mf">0.01</span><span class="p">)</span>
+<span class="n">s</span> <span class="o">=</span> <span class="mi">1</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="mi">2</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">pi</span> <span class="o">*</span> <span class="n">t</span><span class="p">)</span>
+
+<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">t</span><span class="p">,</span> <span class="n">s</span><span class="p">)</span>
+
+<span class="n">ax</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">xlabel</span><span class="o">=</span><span class="s1">&#39;time (s)&#39;</span><span class="p">,</span> <span class="n">ylabel</span><span class="o">=</span><span class="s1">&#39;voltage (mV)&#39;</span><span class="p">,</span>
+       <span class="n">title</span><span class="o">=</span><span class="s1">&#39;About as simple as it gets, folks&#39;</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/e47de79960f25378b77b85290118139cf0e94e126fcfcc67d036b16a9fd279ab.png" src="../_images/e47de79960f25378b77b85290118139cf0e94e126fcfcc67d036b16a9fd279ab.png" />
+</div>
+</div>
+</div>
+<div class="section" id="cartopy">
+<h2>Cartopy<a class="headerlink" href="#cartopy" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p><a class="reference internal" href="../_images/cartopy.jpeg"><img alt="Cartopy Logo" src="../_images/cartopy.jpeg" style="width: 250px;" /></a></img></p>
+<p>Cartopy is a Python package for plotting data on the globe. It is the go-to package for plotting maps, dealing with different projections, and adding surface features to your plot. Cartopy is buit on top of <a class="reference external" href="https://proj.org/en/9.2/">PROJ</a>, NumPy and <a class="reference external" href="https://shapely.readthedocs.io/en/stable/manual.html">Shapely</a>, and Matplotlib. To learn more about what Cartopy can do, check out the <a class="reference external" href="https://scitools.org.uk/cartopy/docs/latest/">Cartopy documentation</a> and the <a class="reference external" href="https://foundations.projectpythia.org/core/cartopy.html">Pythia foundations Cartopy chapter</a>.</p>
+<p>You may have heard about <a class="reference external" href="https://matplotlib.org/basemap/index.html">Basemap</a>, another geoscience plotting library, which was deprecated in favor of Cartopy.</p>
+<p>Here is a <a class="reference external" href="https://scitools.org.uk/cartopy/docs/v0.15/matplotlib/intro.html">simple plotting example from Cartopy</a>:</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">axes</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">())</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">coastlines</span><span class="p">()</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/miniconda3/envs/cookbook-dev/lib/python3.11/site-packages/cartopy/io/__init__.py:241: DownloadWarning: Downloading: https://naturalearth.s3.amazonaws.com/110m_physical/ne_110m_coastline.zip
+  warnings.warn(f&#39;Downloading: {url}&#39;, DownloadWarning)
+</pre></div>
+</div>
+<img alt="../_images/db258116caa8f292a548ae66e6f698672d21ef951f4618782fa7f5aad386ccf4.png" src="../_images/db258116caa8f292a548ae66e6f698672d21ef951f4618782fa7f5aad386ccf4.png" />
+</div>
+</div>
+</div>
+<div class="section" id="geocat-viz">
+<h2>GeoCAT-Viz<a class="headerlink" href="#geocat-viz" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p><a class="reference internal" href="../_images/geocat.png"><img alt="GeoCAT Logo" src="../_images/geocat.png" style="width: 250px;" /></a></img></p>
+<p>The GeoCAT team at the National Center for Atmospheric Research (NCAR) aims to help scientists transitioning from <a class="reference external" href="https://www.ncl.ucar.edu/">NCL</a> to Python. Out of this team come two different visualization aids: the <a class="reference external" href="https://geocat-examples.readthedocs.io/en/latest/">GeoCAT-examples Visualization Gallery</a> which contains tons of different plotting examples that you can use as a starting place for your figures, and the <a class="reference external" href="https://geocat-viz.readthedocs.io/en/latest/">GeoCAT-Viz package (documentation)</a> which contains many convenience functions that formerly existed in NCL or for making Python plots look publication-ready.</p>
+</div>
+<div class="section" id="metpy">
+<h2>MetPy<a class="headerlink" href="#metpy" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p><a class="reference internal" href="../_images/metpy.png"><img alt="Metpy Logo" src="../_images/metpy.png" style="width: 250px;" /></a></img></p>
+<p>Metpy is a collection of tools for data reading, analysis, and visualization with weather data. Matplotlib offers some useful functionality for unique plots such as Skew-T diagrams, as well as declaritive plotting functionality. Check out the <a class="reference external" href="https://unidata.github.io/MetPy/latest/index.html">MetPy documentation</a>.</p>
+<p>Here is a simple Skew-T plot from their <a class="reference external" href="https://unidata.github.io/MetPy/latest/userguide/startingguide.html">Getting Started documentation</a>:</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">metpy.calc</span> <span class="k">as</span> <span class="nn">mpcalc</span>
+<span class="kn">from</span> <span class="nn">metpy.plots</span> <span class="kn">import</span> <span class="n">SkewT</span>
+<span class="kn">from</span> <span class="nn">metpy.units</span> <span class="kn">import</span> <span class="n">units</span>
+
+<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">9</span><span class="p">,</span> <span class="mi">9</span><span class="p">))</span>
+<span class="n">skew</span> <span class="o">=</span> <span class="n">SkewT</span><span class="p">(</span><span class="n">fig</span><span class="p">)</span>
+
+<span class="c1"># Create arrays of pressure, temperature, dewpoint, and wind components</span>
+<span class="n">p</span> <span class="o">=</span> <span class="p">[</span><span class="mi">902</span><span class="p">,</span> <span class="mi">897</span><span class="p">,</span> <span class="mi">893</span><span class="p">,</span> <span class="mi">889</span><span class="p">,</span> <span class="mi">883</span><span class="p">,</span> <span class="mi">874</span><span class="p">,</span> <span class="mi">866</span><span class="p">,</span> <span class="mi">857</span><span class="p">,</span> <span class="mi">849</span><span class="p">,</span> <span class="mi">841</span><span class="p">,</span> <span class="mi">833</span><span class="p">,</span> <span class="mi">824</span><span class="p">,</span> <span class="mi">812</span><span class="p">,</span> <span class="mi">796</span><span class="p">,</span> <span class="mi">776</span><span class="p">,</span> <span class="mi">751</span><span class="p">,</span>
+     <span class="mi">727</span><span class="p">,</span> <span class="mi">704</span><span class="p">,</span> <span class="mi">680</span><span class="p">,</span> <span class="mi">656</span><span class="p">,</span> <span class="mi">629</span><span class="p">,</span> <span class="mi">597</span><span class="p">,</span> <span class="mi">565</span><span class="p">,</span> <span class="mi">533</span><span class="p">,</span> <span class="mi">501</span><span class="p">,</span> <span class="mi">468</span><span class="p">,</span> <span class="mi">435</span><span class="p">,</span> <span class="mi">401</span><span class="p">,</span> <span class="mi">366</span><span class="p">,</span> <span class="mi">331</span><span class="p">,</span> <span class="mi">295</span><span class="p">,</span> <span class="mi">258</span><span class="p">,</span>
+     <span class="mi">220</span><span class="p">,</span> <span class="mi">182</span><span class="p">,</span> <span class="mi">144</span><span class="p">,</span> <span class="mi">106</span><span class="p">]</span> <span class="o">*</span> <span class="n">units</span><span class="o">.</span><span class="n">hPa</span>
+<span class="n">t</span> <span class="o">=</span> <span class="p">[</span><span class="o">-</span><span class="mi">3</span><span class="p">,</span> <span class="o">-</span><span class="mf">3.7</span><span class="p">,</span> <span class="o">-</span><span class="mf">4.1</span><span class="p">,</span> <span class="o">-</span><span class="mf">4.5</span><span class="p">,</span> <span class="o">-</span><span class="mf">5.1</span><span class="p">,</span> <span class="o">-</span><span class="mf">5.8</span><span class="p">,</span> <span class="o">-</span><span class="mf">6.5</span><span class="p">,</span> <span class="o">-</span><span class="mf">7.2</span><span class="p">,</span> <span class="o">-</span><span class="mf">7.9</span><span class="p">,</span> <span class="o">-</span><span class="mf">8.6</span><span class="p">,</span> <span class="o">-</span><span class="mf">8.9</span><span class="p">,</span> <span class="o">-</span><span class="mf">7.6</span><span class="p">,</span> <span class="o">-</span><span class="mi">6</span><span class="p">,</span> <span class="o">-</span><span class="mf">5.1</span><span class="p">,</span>
+     <span class="o">-</span><span class="mf">5.2</span><span class="p">,</span> <span class="o">-</span><span class="mf">5.6</span><span class="p">,</span> <span class="o">-</span><span class="mf">5.4</span><span class="p">,</span> <span class="o">-</span><span class="mf">4.9</span><span class="p">,</span> <span class="o">-</span><span class="mf">5.2</span><span class="p">,</span> <span class="o">-</span><span class="mf">6.3</span><span class="p">,</span> <span class="o">-</span><span class="mf">8.4</span><span class="p">,</span> <span class="o">-</span><span class="mf">11.5</span><span class="p">,</span> <span class="o">-</span><span class="mf">14.9</span><span class="p">,</span> <span class="o">-</span><span class="mf">18.4</span><span class="p">,</span> <span class="o">-</span><span class="mf">21.9</span><span class="p">,</span> <span class="o">-</span><span class="mf">25.4</span><span class="p">,</span>
+     <span class="o">-</span><span class="mi">28</span><span class="p">,</span> <span class="o">-</span><span class="mi">32</span><span class="p">,</span> <span class="o">-</span><span class="mi">37</span><span class="p">,</span> <span class="o">-</span><span class="mi">43</span><span class="p">,</span> <span class="o">-</span><span class="mi">49</span><span class="p">,</span> <span class="o">-</span><span class="mi">54</span><span class="p">,</span> <span class="o">-</span><span class="mi">56</span><span class="p">,</span> <span class="o">-</span><span class="mi">57</span><span class="p">,</span> <span class="o">-</span><span class="mi">58</span><span class="p">,</span> <span class="o">-</span><span class="mi">60</span><span class="p">]</span> <span class="o">*</span> <span class="n">units</span><span class="o">.</span><span class="n">degC</span>
+<span class="n">td</span> <span class="o">=</span> <span class="p">[</span><span class="o">-</span><span class="mi">22</span><span class="p">,</span> <span class="o">-</span><span class="mf">22.1</span><span class="p">,</span> <span class="o">-</span><span class="mf">22.2</span><span class="p">,</span> <span class="o">-</span><span class="mf">22.3</span><span class="p">,</span> <span class="o">-</span><span class="mf">22.4</span><span class="p">,</span> <span class="o">-</span><span class="mf">22.5</span><span class="p">,</span> <span class="o">-</span><span class="mf">22.6</span><span class="p">,</span> <span class="o">-</span><span class="mf">22.7</span><span class="p">,</span> <span class="o">-</span><span class="mf">22.8</span><span class="p">,</span> <span class="o">-</span><span class="mf">22.9</span><span class="p">,</span> <span class="o">-</span><span class="mf">22.4</span><span class="p">,</span>
+      <span class="o">-</span><span class="mf">21.6</span><span class="p">,</span> <span class="o">-</span><span class="mf">21.6</span><span class="p">,</span> <span class="o">-</span><span class="mf">21.9</span><span class="p">,</span> <span class="o">-</span><span class="mf">23.6</span><span class="p">,</span> <span class="o">-</span><span class="mf">27.1</span><span class="p">,</span> <span class="o">-</span><span class="mi">31</span><span class="p">,</span> <span class="o">-</span><span class="mi">38</span><span class="p">,</span> <span class="o">-</span><span class="mi">44</span><span class="p">,</span> <span class="o">-</span><span class="mi">46</span><span class="p">,</span> <span class="o">-</span><span class="mi">43</span><span class="p">,</span> <span class="o">-</span><span class="mi">37</span><span class="p">,</span> <span class="o">-</span><span class="mi">34</span><span class="p">,</span> <span class="o">-</span><span class="mi">36</span><span class="p">,</span>
+      <span class="o">-</span><span class="mi">42</span><span class="p">,</span> <span class="o">-</span><span class="mi">46</span><span class="p">,</span> <span class="o">-</span><span class="mi">49</span><span class="p">,</span> <span class="o">-</span><span class="mi">48</span><span class="p">,</span> <span class="o">-</span><span class="mi">47</span><span class="p">,</span> <span class="o">-</span><span class="mi">49</span><span class="p">,</span> <span class="o">-</span><span class="mi">55</span><span class="p">,</span> <span class="o">-</span><span class="mi">63</span><span class="p">,</span> <span class="o">-</span><span class="mi">72</span><span class="p">,</span> <span class="o">-</span><span class="mi">88</span><span class="p">,</span> <span class="o">-</span><span class="mi">93</span><span class="p">,</span> <span class="o">-</span><span class="mi">92</span><span class="p">]</span> <span class="o">*</span> <span class="n">units</span><span class="o">.</span><span class="n">degC</span>
+
+<span class="c1"># Calculate parcel profile</span>
+<span class="n">prof</span> <span class="o">=</span> <span class="n">mpcalc</span><span class="o">.</span><span class="n">parcel_profile</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="n">t</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">td</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;degC&#39;</span><span class="p">)</span>
+<span class="n">u</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="o">-</span><span class="mi">10</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">p</span><span class="p">))</span> <span class="o">*</span> <span class="n">units</span><span class="o">.</span><span class="n">knots</span>
+<span class="n">v</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="o">-</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">p</span><span class="p">))</span> <span class="o">*</span> <span class="n">units</span><span class="o">.</span><span class="n">knots</span>
+
+<span class="n">skew</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="n">t</span><span class="p">,</span> <span class="s1">&#39;r&#39;</span><span class="p">)</span>
+<span class="n">skew</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="n">td</span><span class="p">,</span> <span class="s1">&#39;g&#39;</span><span class="p">)</span>
+<span class="n">skew</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="n">prof</span><span class="p">,</span> <span class="s1">&#39;k&#39;</span><span class="p">)</span>  <span class="c1"># Plot parcel profile</span>
+<span class="n">skew</span><span class="o">.</span><span class="n">plot_barbs</span><span class="p">(</span><span class="n">p</span><span class="p">[::</span><span class="mi">5</span><span class="p">],</span> <span class="n">u</span><span class="p">[::</span><span class="mi">5</span><span class="p">],</span> <span class="n">v</span><span class="p">[::</span><span class="mi">5</span><span class="p">])</span>
+
+<span class="n">skew</span><span class="o">.</span><span class="n">ax</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">(</span><span class="o">-</span><span class="mi">50</span><span class="p">,</span> <span class="mi">15</span><span class="p">)</span>
+<span class="n">skew</span><span class="o">.</span><span class="n">ax</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">(</span><span class="mi">1000</span><span class="p">,</span> <span class="mi">100</span><span class="p">)</span>
+
+<span class="c1"># Add the relevant special lines</span>
+<span class="n">skew</span><span class="o">.</span><span class="n">plot_dry_adiabats</span><span class="p">()</span>
+<span class="n">skew</span><span class="o">.</span><span class="n">plot_moist_adiabats</span><span class="p">()</span>
+<span class="n">skew</span><span class="o">.</span><span class="n">plot_mixing_lines</span><span class="p">()</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">();</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/41c0f6d11673f6048b9195a8acb8aa586fcda7ad6f168fc92cb8b4072357afeb.png" src="../_images/41c0f6d11673f6048b9195a8acb8aa586fcda7ad6f168fc92cb8b4072357afeb.png" />
+</div>
+</div>
+</div>
+<div class="section" id="vapor">
+<h2>VAPOR<a class="headerlink" href="#vapor" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p><a class="reference internal" href="../_images/vapor.png"><img alt="VAPOR Logo" src="../_images/vapor.png" style="width: 250px;" /></a></img></p>
+<p>VAPOR stands for the Visualization and Analysis Platform for Ocean, Atmosphere, and Solar Researchers and is another project from NCAR. VAPOR provides an interactive 3D visualization environment. Learn more at the <a class="reference external" href="https://www.vapor.ucar.edu/">VAPOR documentation</a> and the <a class="reference external" href="https://projectpythia.org/vapor-python-cookbook/README.html">VAPOR Pythia Cookbook</a>. VAPOR requires a GPU-enabled environment to run.</p>
+</div>
+<div class="section" id="plotly">
+<h2>Plotly<a class="headerlink" href="#plotly" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p><a class="reference internal" href="../_images/plotly.png"><img alt="Plotly Logo" src="../_images/plotly.png" style="width: 250px;" /></a></img></p>
+<p>Plotly is another choice for interactive plotting. Plotly has functionality in several languags. Here is the <a class="reference external" href="https://plotly.com/python/">Plotly Python documentation</a>.</p>
+<p>Here is an example using their “Express” functionality:</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">plotly.express</span> <span class="k">as</span> <span class="nn">px</span>
+
+<span class="n">fig</span> <span class="o">=</span> <span class="n">px</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">],</span> <span class="n">y</span><span class="o">=</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">9</span><span class="p">,</span> <span class="mi">16</span><span class="p">])</span>
+<span class="n">fig</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_html">        <script type="text/javascript">
+        window.PlotlyConfig = {MathJaxConfig: 'local'};
+        if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: "STIX-Web"}});}
+        if (typeof require !== 'undefined') {
+        require.undef("plotly");
+        define('plotly', function(require, exports, module) {
+            /**
+* plotly.js v2.27.0
+* Copyright 2012-2023, Plotly, Inc.
+* All rights reserved.
+* Licensed under the MIT license
+*/
+/*! For license information please see plotly.min.js.LICENSE.txt */
+!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.Plotly=e():t.Plotly=e()}(self,(function(){return function(){var t={98847:function(t,e,r){"use strict";var n=r(71828),i={"X,X div":'direction:ltr;font-family:"Open Sans",verdana,arial,sans-serif;margin:0;padding:0;',"X input,X button":'font-family:"Open Sans",verdana,arial,sans-serif;',"X input:focus,X button:focus":"outline:none;","X a":"text-decoration:none;","X a:hover":"text-decoration:none;","X .crisp":"shape-rendering:crispEdges;","X .user-select-none":"-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;user-select:none;","X svg":"overflow:hidden;","X svg a":"fill:#447adb;","X svg a:hover":"fill:#3c6dc5;","X .main-svg":"position:absolute;top:0;left:0;pointer-events:none;","X .main-svg .draglayer":"pointer-events:all;","X .cursor-default":"cursor:default;","X 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u(){"function"==typeof i.calc?i.calc(t,n,e):(e._fillgradient=r.reversescale?y(r.colorscale):r.colorscale,e._zrange=[r[i.min],r[i.max]])}for(var c=0;c<o.length;c++){var h=o[c];if((n=h[0].trace)._module){var p=n._module.colorbar;if(!0===n.visible&&p)for(var d=Array.isArray(p),v=d?p:[p],g=0;g<v.length;g++){var m=(i=v[g]).container;(r=m?n[m]:n)&&r.showscale&&((e=l(r.colorbar))._id="cb"+n.uid+(d&&m?"-"+m:""),e._traceIndex=n.index,e._propPrefix=(m?m+".":"")+"colorbar.",e._meta=n._meta,u(),s.push(e))}}}for(var x in a._colorAxes)if((r=a[x]).showscale){var b=a._colorAxes[x];(e=l(r.colorbar))._id="cb"+x,e._propPrefix=x+".colorbar.",e._meta=a._meta,i={min:"cmin",max:"cmax"},"heatmap"!==b[0]&&(n=b[1],i.calc=n._module.colorbar.calc),u(),s.push(e)}return s}(t),(function(t){return t._id}));e.enter().append("g").attr("class",(function(t){return t._id})).classed(A.colorbar,!0),e.each((function(e){var r=n.select(this);u.ensureSingle(r,"rect",A.cbbg),u.ensureSingle(r,"g",A.cbfills),u.ensureSingle(r,"g",A.cblines),u.ensureSingle(r,"g",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),u.ensureSingle(r,"g",A.cbtitleunshift,(function(t){t.append("g").classed(A.cbtitle,!0)})),u.ensureSingle(r,"rect",A.cboutline);var y=function(t,e,r){var o="v"===e.orientation,l=e.len,h=e.lenmode,y=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,O=e.ypad,I=e.x,D=o?e.y:1-e.y,z="paper"===e.yref,R="paper"===e.xref,F=r._fullLayout,B=F._size,N=e._fillcolor,j=e._line,U=e.title,V=U.side,H=e._zrange||n.extent(("function"==typeof N?N:j.color).domain()),q="function"==typeof j.color?j.color:function(){return j.color},G="function"==typeof N?N:function(){return N},Z=e._levels,Y=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,u=a.size,c=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*u,!(u>0?n>=l:n<=l));i++)n>c&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if("function"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,u=h.size,i=0;i<1e5&&(n=h.start+i*u,!(u>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&"string"==typeof e._fillcolor&&(s=[0]);return a.size<0&&(o.reverse(),s.reverse()),{line:o,fill:s}}(0,e,H),W=Y.fill,X=Y.line,J=Math.round(y*("fraction"===_?o?B.w:B.h:1)),K=J/(o?B.w:B.h),$=Math.round(l*("fraction"===h?o?B.h:B.w:1)),Q=$/(o?B.h:B.w),tt=R?B.w:r._fullLayout.width,et=z?B.h:r._fullLayout.height,rt=Math.round(o?I*tt+P:D*et+O),nt={center:.5,right:1}[L]||0,it={top:1,middle:.5}[C]||0,at=o?I-nt*K:D-it*K,ot=o?D-it*Q:I-nt*Q,st=Math.round(o?et*(1-ot):tt*ot);e._lenFrac=Q,e._thickFrac=K,e._uFrac=at,e._vFrac=ot;var lt=e._axis=function(t,e,r){var n=t._fullLayout,i="v"===e.orientation,a={type:"linear",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,labelalias:e.labelalias,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:"free",side:i?"right":"bottom",position:1},o=i?"y":"x",s={type:"linear",_id:o+e._id},l={letter:o,font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,noInsideRange:!0,calendar:n.calendar};function c(t,e){return u.coerce(a,s,b,t,e)}return m(a,s,c,l,n),x(a,s,c,l),s}(r,e,H);lt.position=K+(o?I+P/B.w:D+O/B.h);var ut=-1!==["top","bottom"].indexOf(V);if(o&&ut&&(lt.title.side=V,lt.titlex=I+P/B.w,lt.titley=ot+("top"===U.side?Q-O/B.h:O/B.h)),o||ut||(lt.title.side=V,lt.titley=D+O/B.h,lt.titlex=ot+P/B.w),j.color&&"auto"===e.tickmode){lt.tickmode="linear",lt.tick0=Z.start;var ct=Z.size,ft=u.constrain($/50,4,15)+1,ht=(H[1]-H[0])/((e.nticks||ft)*ct);if(ht>1){var pt=Math.pow(10,Math.floor(Math.log(ht)/Math.LN10));ct*=pt*u.roundUp(ht/pt,[2,5,10]),(Math.abs(Z.start)/Z.size+1e-6)%1<2e-6&&(lt.tick0=0)}lt.dtick=ct}lt.domain=o?[ot+O/B.h,ot+Q-O/B.h]:[ot+P/B.w,ot+Q-P/B.w],lt.setScale(),t.attr("transform",c(Math.round(B.l),Math.round(B.t)));var dt,vt=t.select("."+A.cbtitleunshift).attr("transform",c(-Math.round(B.l),-Math.round(B.t))),gt=lt.ticklabelposition,yt=lt.title.font.size,mt=t.select("."+A.cbaxis),xt=0,bt=0;function _t(n,i){var a={propContainer:lt,propName:e._propPrefix+"title",traceIndex:e._traceIndex,_meta:e._meta,placeholder:F._dfltTitle.colorbar,containerGroup:t.select("."+A.cbtitle)},o="h"===n.charAt(0)?n.substr(1):"h"+n;t.selectAll("."+o+",."+o+"-math-group").remove(),v.draw(r,n,f(a,i||{}))}return u.syncOrAsync([a.previousPromises,function(){var t,e;(o&&ut||!o&&!ut)&&("top"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot-Q)+3+.75*yt),"bottom"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot)-3-.25*yt),"right"===V&&(e=O+B.t+et*D+3+.75*yt,t=P+B.l+tt*ot),_t(lt._id+"title",{attributes:{x:t,y:e,"text-anchor":o?"start":"middle"}}))},function(){if(!o&&!ut||o&&ut){var a,l=t.select("."+A.cbtitle),f=l.select("text"),h=[-M/2,M/2],d=l.select(".h"+lt._id+"title-math-group").node(),v=15.6;if(f.node()&&(v=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),bt=a.width,(xt=a.height)>v&&(h[1]-=(xt-v)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),bt=a.width,xt=a.height),o){if(xt){if(xt+=5,"top"===V)lt.domain[1]-=xt/B.h,h[1]*=-1;else{lt.domain[0]+=xt/B.h;var y=g.lineCount(f);h[1]+=(1-y)*v}l.attr("transform",c(h[0],h[1])),lt.setScale()}}else bt&&("right"===V&&(lt.domain[0]+=(bt+yt/2)/B.w),l.attr("transform",c(h[0],h[1])),lt.setScale())}t.selectAll("."+A.cbfills+",."+A.cblines).attr("transform",o?c(0,Math.round(B.h*(1-lt.domain[1]))):c(Math.round(B.w*lt.domain[0]),0)),mt.attr("transform",o?c(0,Math.round(-B.t)):c(Math.round(-B.l),0));var m=t.select("."+A.cbfills).selectAll("rect."+A.cbfill).attr("style","").data(W);m.enter().append("rect").classed(A.cbfill,!0).attr("style",""),m.exit().remove();var x=H.map(lt.c2p).map(Math.round).sort((function(t,e){return t-e}));m.each((function(t,a){var s=[0===a?H[0]:(W[a]+W[a-1])/2,a===W.length-1?H[1]:(W[a]+W[a+1])/2].map(lt.c2p).map(Math.round);o&&(s[1]=u.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?"x":"y",rt).attr(o?"y":"x",n.min(s)).attr(o?"width":"height",Math.max(J,2)).attr(o?"height":"width",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?"vertical":"horizontalreversed",e._fillgradient,"fill");else{var c=G(t).replace("e-","");l.attr("fill",i(c).toHexString())}}));var b=t.select("."+A.cblines).selectAll("path."+A.cbline).data(j.color&&j.width?X:[]);b.enter().append("path").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=rt,r=Math.round(lt.c2p(t))+j.width/2%1;n.select(this).attr("d","M"+(o?e+","+r:r+","+e)+(o?"h":"v")+J).call(p.lineGroupStyle,j.width,q(t),j.dash)})),mt.selectAll("g."+lt._id+"tick,path").remove();var _=rt+J+(M||0)/2-("outside"===e.ticks?1:0),T=s.calcTicks(lt),k=s.getTickSigns(lt)[2];return s.drawTicks(r,lt,{vals:"inside"===lt.ticks?s.clipEnds(lt,T):T,layer:mt,path:s.makeTickPath(lt,_,k),transFn:s.makeTransTickFn(lt)}),s.drawLabels(r,lt,{vals:T,layer:mt,transFn:s.makeTransTickLabelFn(lt),labelFns:s.makeLabelFns(lt,_)})},function(){if(o&&!ut||!o&&ut){var t,i,a=lt.position||0,s=lt._offset+lt._length/2;if("right"===V)i=s,t=B.l+tt*a+10+yt*(lt.showticklabels?1:.5);else if(t=s,"bottom"===V&&(i=B.t+et*a+10+(-1===gt.indexOf("inside")?lt.tickfont.size:0)+("intside"!==lt.ticks&&e.ticklen||0)),"top"===V){var l=U.text.split("<br>").length;i=B.t+et*a+10-J-w*yt*l}_t((o?"h":"v")+lt._id+"title",{avoid:{selection:n.select(r).selectAll("g."+lt._id+"tick"),side:V,offsetTop:o?0:B.t,offsetLeft:o?B.l:0,maxShift:o?F.width:F.height},attributes:{x:t,y:i,"text-anchor":"middle"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var 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S=w(A*M+p.x),E=S+w(A*t.bx);u=t.crossPos+Math.min(S,E),c=t.crossPos+Math.max(S,E)}a?void 0!==b&&void 0!==_&&Math.min(c,_)-Math.max(u,b)>1&&("left"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 0!==x&&Math.min(c,x)-Math.max(u,m)>1&&("top"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?T:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=v;){for(p++,i=!0,s=0;s<g.length-1;){var S=g[s],E=g[s+1],L=S[S.length-1],C=E[0];if((a=L.pos+L.dp+L.size-C.pos-C.dp+C.size)>.01&&L.pmin===C.pmin&&L.pmax===C.pmax){for(l=E.length-1;l>=0;l--)E[l].dp+=a;for(S.push.apply(S,E),g.splice(s+1,1),c=0,l=S.length-1;l>=0;l--)c+=S[l].dp;for(o=c/S.length,l=S.length-1;l>=0;l--)S[l].dp-=o;i=!1}else s++}g.forEach(A)}for(s=g.length-1;s>=0;s--){var P=g[s];for(l=P.length-1;l>=0;l--){var 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S,E,L,C="h"===p("orientation"),P="paper"===p("yref"),O="paper"===p("xref"),I="left";if(C?(S=0,n.getComponentMethod("rangeslider","isVisible")(e.xaxis)?P?(E=1.1,L="bottom"):(E=1,L="top"):P?(E=-.1,L="top"):(E=0,L="bottom")):(E=1,L="auto",O?S=1.02:(S=1,I="right")),i.coerce(f,h,{x:{valType:"number",editType:"legend",min:O?-2:0,max:O?3:1,dflt:S}},"x"),i.coerce(f,h,{y:{valType:"number",editType:"legend",min:P?-2:0,max:P?3:1,dflt:E}},"y"),p("traceorder",_),u.isGrouped(r[t])&&p("tracegroupgap"),p("entrywidth"),p("entrywidthmode"),p("itemsizing"),p("itemwidth"),p("itemclick"),p("itemdoubleclick"),p("groupclick"),p("xanchor",I),p("yanchor",L),p("valign"),i.noneOrAll(f,h,["x","y"]),p("title.text")){p("title.side",C?"left":"top");var D=i.extendFlat({},d,{size:i.bigFont(d.size)});i.coerceFont(p,"title.font",D)}}}}t.exports=function(t,e,r){var n,a=r.slice(),o=e.shapes;if(o)for(n=0;n<o.length;n++){var s=o[n];if(s.showlegend){var 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Y=t._context.edits,W=Y.legendText||Y.legendPosition;r.each((function(t){var e=n.select(this).select("."+o+"toggle"),r=t[0].height,a=t[0].trace.legendgroup,s=k(t,i,g);c&&""!==a&&(s=T[a]);var h=W?g:A||s;l||f||(h+=v/2),u.setRect(e,0,-r/2,h,r)}))}(t,Z,Y,h)},function(){var e,c,m,x,b=d._size,_=h.borderwidth,k="paper"===h.xref,M="paper"===h.yref;if(q.text&&function(t,e,r){if("top center"===e.title.side||"top right"===e.title.side){var n=e.title.font.size*v,i=0,a=t.node(),o=u.bBox(a).width;"top center"===e.title.side?i=.5*(e._width-2*r-2*p.titlePad-o):"top right"===e.title.side&&(i=e._width-2*r-2*p.titlePad-o),f.positionText(t,r+p.titlePad+i,r+n)}}(V,h,_),!T){var S,E;S=k?b.l+b.w*h.x-g[C(h)]*h._width:d.width*h.x-g[C(h)]*h._width,E=M?b.t+b.h*(1-h.y)-g[P(h)]*h._effHeight:d.height*(1-h.y)-g[P(h)]*h._effHeight;var L=function(t,e,r,n){var i=t._fullLayout,o=i[e],s=C(o),l=P(o),u="paper"===o.xref,c="paper"===o.yref;t._fullLayout._reservedMargin[e]={};var 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L(D),L(P.concat(I)),L(z),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},37676:function(t,e,r){"use strict";var n=r(39898),i=r(92770),a=r(71828),o=r(24255),s=r(11506).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement("div"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i="modebar-"+n._uid;this.element.setAttribute("id",i),this._uid=i,this.element.className="modebar","hover"===r.displayModeBar&&(this.element.className+=" modebar--hover ease-bg"),"v"===n.modebar.orientation&&(this.element.className+=" vertical",e=e.reverse());var o=n.modebar,s="hover"===r.displayModeBar?".js-plotly-plot .plotly:hover 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e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute("data-attr"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute("data-val")||!0,o=t.getAttribute("data-attr"),s="true"===t.getAttribute("data-toggle"),l=n.select(t);if(s)o===r&&l.classed("active",!l.classed("active"));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed("active",u===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement("a");return e.href="https://plotly.com/",e.target="_blank",e.setAttribute("data-title",a._(this.graphInfo,"Produced with Plotly.js")+" (v"+s+")"),e.className="modebar-btn plotlyjsicon 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n=r(41940),i=r(22399),a=(0,r(44467).templatedArray)("button",{visible:{valType:"boolean",dflt:!0,editType:"plot"},step:{valType:"enumerated",values:["month","year","day","hour","minute","second","all"],dflt:"month",editType:"plot"},stepmode:{valType:"enumerated",values:["backward","todate"],dflt:"backward",editType:"plot"},count:{valType:"number",min:0,dflt:1,editType:"plot"},label:{valType:"string",editType:"plot"},editType:"plot"});t.exports={visible:{valType:"boolean",editType:"plot"},buttons:a,x:{valType:"number",min:-2,max:3,editType:"plot"},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"left",editType:"plot"},y:{valType:"number",min:-2,max:3,editType:"plot"},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"bottom",editType:"plot"},font:n({editType:"plot"}),bgcolor:{valType:"color",dflt:i.lightLine,editType:"plot"},activecolor:{valType:"color",editType:"plot"},bordercolor:{valType:"color",dflt:i.defaultLine,editType:"plot"},borderwidth:{valType:"number",min:0,dflt:0,editType:"plot"},editType:"plot"}},89573:function(t){"use 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e=t._fullLayout._infolayer.selectAll(".rangeselector").data(function(t){for(var e=f.list(t,"x",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),m);e.enter().append("g").classed("rangeselector",!0),e.exit().remove(),e.style({cursor:"pointer","pointer-events":"all"}),e.each((function(e){var r=n.select(this),o=e,f=o.rangeselector,h=r.selectAll("g.button").data(l.filterVisible(f.buttons));h.enter().append("g").classed("button",!0),h.exit().remove(),h.each((function(e){var r=n.select(this),a=y(o,e);e._isActive=function(t,e,r){if("all"===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&&t.range[1]===r[n[1]]}(o,e,a),r.call(x,f,e),r.call(b,f,e,t),r.on("click",(function(){t._dragged||i.call("_guiRelayout",t,a)})),r.on("mouseover",(function(){e._isHovered=!0,r.call(x,f,e)})),r.on("mouseout",(function(){e._isHovered=!1,r.call(x,f,e)}))})),function(t,e,r,i,o){var f=0,h=0,y=r.borderwidth;e.each((function(){var t=n.select(this).select(".selector-text"),e=r.font.size*p,i=Math.max(e*c.lineCount(t),16)+3;h=Math.max(h,i)})),e.each((function(){var t=n.select(this),e=t.select(".selector-rect"),i=t.select(".selector-text"),a=i.node()&&s.bBox(i.node()).width,o=r.font.size*p,l=c.lineCount(i),d=Math.max(a+10,g.minButtonWidth);t.attr("transform",u(y+f,y)),e.attr({x:0,y:0,width:d,height:h}),c.positionText(i,d/2,h/2-(l-1)*o/2+3),f+=d+5}));var m=t._fullLayout._size,x=m.l+m.w*r.x,b=m.t+m.h*(1-r.y),_="left";l.isRightAnchor(r)&&(x-=f,_="right"),l.isCenterAnchor(r)&&(x-=f/2,_="center");var w="top";l.isBottomAnchor(r)&&(b-=h,w="bottom"),l.isMiddleAnchor(r)&&(b-=h/2,w="middle"),f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+"-range-selector",{x:r.x,y:r.y,l:f*d[_],r:f*v[_],b:h*v[w],t:h*d[w]}),o.attr("transform",u(x,b))}(t,h,f,o._name,r)}))}},70565:function(t,e,r){"use strict";var n=r(81041),i=r(71828).titleCase;t.exports=function(t,e){var r=t._name,a={};if("all"===e.step)a[r+".autorange"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n["utc"+i(s)],u=e.count;switch(e.stepmode){case"backward":r=t.l2r(+l.offset(o,-u));break;case"todate":var c=l.offset(o,-u);r=t.l2r(+l.ceil(c))}return[r,a[1]]}(t,e);a[r+".range[0]"]=o[0],a[r+".range[1]"]=o[1]}return a}},97218:function(t,e,r){"use strict";t.exports={moduleType:"component",name:"rangeselector",schema:{subplots:{xaxis:{rangeselector:r(37113)}}},layoutAttributes:r(37113),handleDefaults:r(28674),draw:r(21598)}},75148:function(t,e,r){"use strict";var n=r(22399);t.exports={bgcolor:{valType:"color",dflt:n.background,editType:"plot"},bordercolor:{valType:"color",dflt:n.defaultLine,editType:"plot"},borderwidth:{valType:"integer",dflt:0,min:0,editType:"plot"},autorange:{valType:"boolean",dflt:!0,editType:"calc",impliedEdits:{"range[0]":void 0,"range[1]":void 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n=r(71828),i=r(44467),a=r(41675),o=r(75148),s=r(47850);t.exports=function(t,e,r){var l=t[r],u=e[r];if(l.rangeslider||e._requestRangeslider[u._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var c,f,h=l.rangeslider,p=i.newContainer(u,"rangeslider");if(_("visible")){_("bgcolor",e.plot_bgcolor),_("bordercolor"),_("borderwidth"),_("thickness"),_("autorange",!u.isValidRange(h.range)),_("range");var d=e._subplots;if(d)for(var v=d.cartesian.filter((function(t){return t.substr(0,t.indexOf("y"))===a.name2id(r)})).map((function(t){return t.substr(t.indexOf("y"),t.length)})),g=n.simpleMap(v,a.id2name),y=0;y<g.length;y++){var m=g[y];c=h[m]||{},f=i.newContainer(p,m,"yaxis");var x,b=e[m];c.range&&b.isValidRange(c.range)&&(x="fixed"),"match"!==w("rangemode",x)&&w("range",b.range.slice())}p._input=h}}function _(t,e){return n.coerce(h,p,o,t,e)}function w(t,e){return n.coerce(c,f,s,t,e)}}},72413:function(t,e,r){"use strict";var n=r(39898),i=r(73972),a=r(74875),o=r(71828),s=o.strTranslate,l=r(91424),u=r(7901),c=r(92998),f=r(93612),h=r(41675),p=r(28569),d=r(6964),v=r(73251);function g(t,e,r,n){var i=o.ensureSingle(t,"rect",v.bgClassName,(function(t){t.attr({x:0,y:0,"shape-rendering":"crispEdges"})})),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,c=-n._offsetShift,f=l.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:s(c,c),"stroke-width":f}).call(u.stroke,n.bordercolor).call(u.fill,n.bgcolor)}function y(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,"clipPath",n._clipId,(function(t){t.append("rect").attr({x:0,y:0})})).select("rect").attr({width:n._width,height:n._height})}function m(t,e,r,i){var s,u=e.calcdata,c=t.selectAll("g."+v.rangePlotClassName).data(r._subplotsWith,o.identity);c.enter().append("g").attr("class",(function(t){return v.rangePlotClassName+" "+t})).call(l.setClipUrl,i._clipId,e),c.order(),c.exit().remove(),c.each((function(t,o){var l=n.select(this),c=0===o,p=h.getFromId(e,t,"y"),d=p._name,v=i[d],g={data:[],layout:{xaxis:{type:r.type,domain:[0,1],range:i.range.slice(),calendar:r.calendar},width:i._width,height:i._height,margin:{t:0,b:0,l:0,r:0}},_context:e._context};r.rangebreaks&&(g.layout.xaxis.rangebreaks=r.rangebreaks),g.layout[d]={type:p.type,domain:[0,1],range:"match"!==v.rangemode?v.range.slice():p.range.slice(),calendar:p.calendar},p.rangebreaks&&(g.layout[d].rangebreaks=p.rangebreaks),a.supplyDefaults(g);var y=g._fullLayout.xaxis,m=g._fullLayout[d];y.clearCalc(),y.setScale(),m.clearCalc(),m.setScale();var x={id:t,plotgroup:l,xaxis:y,yaxis:m,isRangePlot:!0};c?s=x:(x.mainplot="xy",x.mainplotinfo=s),f.rangePlot(e,x,function(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n],a=i[0].trace;a.xaxis+a.yaxis===e&&r.push(i)}return r}(u,t))}))}function x(t,e,r,n,i){o.ensureSingle(t,"rect",v.maskMinClassName,(function(t){t.attr({x:0,y:0,"shape-rendering":"crispEdges"})})).attr("height",n._height).call(u.fill,v.maskColor),o.ensureSingle(t,"rect",v.maskMaxClassName,(function(t){t.attr({y:0,"shape-rendering":"crispEdges"})})).attr("height",n._height).call(u.fill,v.maskColor),"match"!==i.rangemode&&(o.ensureSingle(t,"rect",v.maskMinOppAxisClassName,(function(t){t.attr({y:0,"shape-rendering":"crispEdges"})})).attr("width",n._width).call(u.fill,v.maskOppAxisColor),o.ensureSingle(t,"rect",v.maskMaxOppAxisClassName,(function(t){t.attr({y:0,"shape-rendering":"crispEdges"})})).attr("width",n._width).style("border-top",v.maskOppBorder).call(u.fill,v.maskOppAxisColor))}function b(t,e,r,n){e._context.staticPlot||o.ensureSingle(t,"rect",v.slideBoxClassName,(function(t){t.attr({y:0,cursor:v.slideBoxCursor,"shape-rendering":"crispEdges"})})).attr({height:n._height,fill:v.slideBoxFill})}function _(t,e,r,n){var i=o.ensureSingle(t,"g",v.grabberMinClassName),a=o.ensureSingle(t,"g",v.grabberMaxClassName),s={x:0,width:v.handleWidth,rx:v.handleRadius,fill:u.background,stroke:u.defaultLine,"stroke-width":v.handleStrokeWidth,"shape-rendering":"crispEdges"},l={y:Math.round(n._height/4),height:Math.round(n._height/2)};o.ensureSingle(i,"rect",v.handleMinClassName,(function(t){t.attr(s)})).attr(l),o.ensureSingle(a,"rect",v.handleMaxClassName,(function(t){t.attr(s)})).attr(l);var c={width:v.grabAreaWidth,x:0,y:0,fill:v.grabAreaFill,cursor:e._context.staticPlot?void 0:v.grabAreaCursor};o.ensureSingle(i,"rect",v.grabAreaMinClassName,(function(t){t.attr(c)})).attr("height",n._height),o.ensureSingle(a,"rect",v.grabAreaMaxClassName,(function(t){t.attr(c)})).attr("height",n._height)}t.exports=function(t){for(var e=t._fullLayout,r=e._rangeSliderData,a=0;a<r.length;a++){var l=r[a][v.name];l._clipId=l._id+"-"+e._uid}var u=e._infolayer.selectAll("g."+v.containerClassName).data(r,(function(t){return t._name}));u.exit().each((function(t){var r=t[v.name];e._topdefs.select("#"+r._clipId).remove()})).remove(),0!==r.length&&(u.enter().append("g").classed(v.containerClassName,!0).attr("pointer-events","all"),u.each((function(r){var a=n.select(this),l=r[v.name],u=e[h.id2name(r.anchor)],f=l[h.id2name(r.anchor)];if(l.range){var w,T=o.simpleMap(l.range,r.r2l),k=o.simpleMap(r.range,r.r2l);w=k[0]<k[1]?[Math.min(T[0],k[0]),Math.max(T[1],k[1])]:[Math.max(T[0],k[0]),Math.min(T[1],k[1])],l.range=l._input.range=o.simpleMap(w,r.l2r)}r.cleanRange("rangeslider.range");var A=e._size,M=r.domain;l._width=A.w*(M[1]-M[0]);var S=Math.round(A.l+A.w*M[0]),E=Math.round(A.t+A.h*(1-r._counterDomainMin)+("bottom"===r.side?r._depth:0)+l._offsetShift+v.extraPad);a.attr("transform",s(S,E)),l._rl=o.simpleMap(l.range,r.r2l);var L=l._rl[0],C=l._rl[1],P=C-L;if(l.p2d=function(t){return t/l._width*P+L},l.d2p=function(t){return(t-L)/P*l._width},r.rangebreaks){var O=r.locateBreaks(L,C);if(O.length){var I,D,z=0;for(I=0;I<O.length;I++)z+=(D=O[I]).max-D.min;var R=l._width/(C-L-z),F=[-R*L];for(I=0;I<O.length;I++)D=O[I],F.push(F[F.length-1]-R*(D.max-D.min));for(l.d2p=function(t){for(var e=F[0],r=0;r<O.length;r++){var n=O[r];if(t>=n.max)e=F[r+1];else if(t<n.min)break}return e+R*t},I=0;I<O.length;I++)(D=O[I]).pmin=l.d2p(D.min),D.pmax=l.d2p(D.max);l.p2d=function(t){for(var e=F[0],r=0;r<O.length;r++){var n=O[r];if(t>=n.pmax)e=F[r+1];else if(t<n.pmin)break}return(t-e)/R}}}if("match"!==f.rangemode){var B=u.r2l(f.range[0]),N=u.r2l(f.range[1])-B;l.d2pOppAxis=function(t){return(t-B)/N*l._height}}a.call(g,t,r,l).call(y,t,r,l).call(m,t,r,l).call(x,t,r,l,f).call(b,t,r,l).call(_,t,r,l),function(t,e,r,a){if(!e._context.staticPlot){var s=t.select("rect."+v.slideBoxClassName).node(),l=t.select("rect."+v.grabAreaMinClassName).node(),u=t.select("rect."+v.grabAreaMaxClassName).node();t.on("mousedown",c),t.on("touchstart",c)}function c(){var c=n.event,f=c.target,h=c.clientX||c.touches[0].clientX,v=h-t.node().getBoundingClientRect().left,g=a.d2p(r._rl[0]),y=a.d2p(r._rl[1]),m=p.coverSlip();function x(t){var c,p,x,b=+(t.clientX||t.touches[0].clientX)-h;switch(f){case s:if(x="ew-resize",g+b>r._length||y+b<0)return;c=g+b,p=y+b;break;case l:if(x="col-resize",g+b>r._length)return;c=g+b,p=y;break;case u:if(x="col-resize",y+b<0)return;c=g,p=y+b;break;default:x="ew-resize",c=v,p=v+b}if(p<c){var _=p;p=c,c=_}a._pixelMin=c,a._pixelMax=p,d(n.select(m),x),function(t,e,r,n){function a(t){return r.l2r(o.constrain(t,n._rl[0],n._rl[1]))}var s=a(n.p2d(n._pixelMin)),l=a(n.p2d(n._pixelMax));window.requestAnimationFrame((function(){i.call("_guiRelayout",e,r._name+".range",[s,l])}))}(0,e,r,a)}function b(){m.removeEventListener("mousemove",x),m.removeEventListener("mouseup",b),this.removeEventListener("touchmove",x),this.removeEventListener("touchend",b),o.removeElement(m)}this.addEventListener("touchmove",x),this.addEventListener("touchend",b),m.addEventListener("mousemove",x),m.addEventListener("mouseup",b)}}(a,t,r,l),function(t,e,r,n,i,a){var l=v.handleWidth/2;function u(t){return o.constrain(t,0,n._width)}function c(t){return o.constrain(t,0,n._height)}function f(t){return o.constrain(t,-l,n._width+l)}var h=u(n.d2p(r._rl[0])),p=u(n.d2p(r._rl[1]));if(t.select("rect."+v.slideBoxClassName).attr("x",h).attr("width",p-h),t.select("rect."+v.maskMinClassName).attr("width",h),t.select("rect."+v.maskMaxClassName).attr("x",p).attr("width",n._width-p),"match"!==a.rangemode){var d=n._height-c(n.d2pOppAxis(i._rl[1])),g=n._height-c(n.d2pOppAxis(i._rl[0]));t.select("rect."+v.maskMinOppAxisClassName).attr("x",h).attr("height",d).attr("width",p-h),t.select("rect."+v.maskMaxOppAxisClassName).attr("x",h).attr("y",g).attr("height",n._height-g).attr("width",p-h),t.select("rect."+v.slideBoxClassName).attr("y",d).attr("height",g-d)}var y=.5,m=Math.round(f(h-l))-y,x=Math.round(f(p-l))+y;t.select("g."+v.grabberMinClassName).attr("transform",s(m,y)),t.select("g."+v.grabberMaxClassName).attr("transform",s(x,y))}(a,0,r,l,u,f),"bottom"===r.side&&c.draw(t,r._id+"title",{propContainer:r,propName:r._name+".title",placeholder:e._dfltTitle.x,attributes:{x:r._offset+r._length/2,y:E+l._height+l._offsetShift+10+1.5*r.title.font.size,"text-anchor":"middle"}})})))}},549:function(t,e,r){"use strict";var n=r(41675),i=r(63893),a=r(73251),o=r(18783).LINE_SPACING,s=a.name;function l(t){var e=t&&t[s];return e&&e.visible}e.isVisible=l,e.makeData=function(t){var e=n.list({_fullLayout:t},"x",!0),r=t.margin,i=[];if(!t._has("gl2d"))for(var a=0;a<e.length;a++){var o=e[a];if(l(o)){i.push(o);var u=o[s];u._id=s+o._id,u._height=(t.height-r.b-r.t)*u.thickness,u._offsetShift=Math.floor(u.borderwidth/2)}}t._rangeSliderData=i},e.autoMarginOpts=function(t,e){var r=t._fullLayout,n=e[s],l=e._id.charAt(0),u=0,c=0;return"bottom"===e.side&&(u=e._depth,e.title.text!==r._dfltTitle[l]&&(c=1.5*e.title.font.size+10+n._offsetShift,c+=(e.title.text.match(i.BR_TAG_ALL)||[]).length*e.title.font.size*o)),{x:0,y:e._counterDomainMin,l:0,r:0,t:0,b:n._height+u+Math.max(r.margin.b,c),pad:a.extraPad+2*n._offsetShift}}},13137:function(t,e,r){"use strict";var n=r(71828),i=r(75148),a=r(47850),o=r(549);t.exports={moduleType:"component",name:"rangeslider",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(75148),handleDefaults:r(26377),calcAutorange:r(88443),draw:r(72413),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},47850:function(t){"use strict";t.exports={_isSubplotObj:!0,rangemode:{valType:"enumerated",values:["auto","fixed","match"],dflt:"match",editType:"calc"},range:{valType:"info_array",items:[{valType:"any",editType:"plot"},{valType:"any",editType:"plot"}],editType:"plot"},editType:"calc"}},8389:function(t,e,r){"use strict";var n=r(50215),i=r(82196).line,a=r(79952).P,o=r(1426).extendFlat,s=r(30962).overrideAll,l=r(44467).templatedArray;r(24695),t.exports=s(l("selection",{type:{valType:"enumerated",values:["rect","path"]},xref:o({},n.xref,{}),yref:o({},n.yref,{}),x0:{valType:"any"},x1:{valType:"any"},y0:{valType:"any"},y1:{valType:"any"},path:{valType:"string",editType:"arraydraw"},opacity:{valType:"number",min:0,max:1,dflt:.7,editType:"arraydraw"},line:{color:i.color,width:o({},i.width,{min:1,dflt:1}),dash:o({},a,{dflt:"dot"})}}),"arraydraw","from-root")},34122:function(t){"use strict";t.exports={BENDPX:1.5,MINSELECT:12,SELECTDELAY:100,SELECTID:"-select"}},59402:function(t,e,r){"use strict";var n=r(71828),i=r(89298),a=r(85501),o=r(8389),s=r(30477);function l(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}var l=a("path"),u="path"!==a("type",l?"path":"rect");u&&delete e.path,a("opacity"),a("line.color"),a("line.width"),a("line.dash");for(var c=["x","y"],f=0;f<2;f++){var h,p,d,v=c[f],g={_fullLayout:r},y=i.coerceRef(t,e,g,v);if((h=i.getFromId(g,y))._selectionIndices.push(e._index),d=s.rangeToShapePosition(h),p=s.shapePositionToRange(h),u){var m=v+"0",x=v+"1",b=t[m],_=t[x];t[m]=p(t[m],!0),t[x]=p(t[x],!0),i.coercePosition(e,g,a,y,m),i.coercePosition(e,g,a,y,x);var w=e[m],T=e[x];void 0!==w&&void 0!==T&&(e[m]=d(w),e[x]=d(T),t[m]=b,t[x]=_)}}u&&n.noneOrAll(t,e,["x0","x1","y0","y1"])}t.exports=function(t,e){a(t,e,{name:"selections",handleItemDefaults:l});for(var r=e.selections,n=0;n<r.length;n++){var i=r[n];i&&void 0===i.path&&(void 0!==i.x0&&void 0!==i.x1&&void 0!==i.y0&&void 0!==i.y1||(e.selections[n]=null))}}},32485:function(t,e,r){"use strict";var n=r(60165).readPaths,i=r(42359),a=r(51873).clearOutlineControllers,o=r(7901),s=r(91424),l=r(44467).arrayEditor,u=r(30477),c=u.getPathString;function f(t){var e=t._fullLayout;for(var r in a(t),e._selectionLayer.selectAll("path").remove(),e._plots){var 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A.style("pointer-events",k?"all":"none");T[k]=A}var L=T[0];T[1].node().addEventListener("click",(function(){return function(t,e){if(h(t)){var r=+e.node().getAttribute("data-index");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void v(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=v,f(t)}}}(t,L)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,"clip"+e._fullLayout._uid+n,e)}function v(t){h(t)&&t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,f(t))}t.exports={draw:f,drawOne:p,activateLastSelection:function(t){if(h(t)){var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=v,f(t)}}}},53777:function(t,e,r){"use strict";var n=r(79952).P,i=r(1426).extendFlat;t.exports={newselection:{mode:{valType:"enumerated",values:["immediate","gradual"],dflt:"immediate",editType:"none"},line:{color:{valType:"color",editType:"none"},width:{valType:"number",min:1,dflt:1,editType:"none"},dash:i({},n,{dflt:"dot",editType:"none"}),editType:"none"},editType:"none"},activeselection:{fillcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"none"},opacity:{valType:"number",min:0,max:1,dflt:.5,editType:"none"},editType:"none"}}},90849:function(t){"use strict";t.exports=function(t,e,r){r("newselection.mode"),r("newselection.line.width")&&(r("newselection.line.color"),r("newselection.line.dash")),r("activeselection.fillcolor"),r("activeselection.opacity")}},35855:function(t,e,r){"use strict";var n=r(64505).selectMode,i=r(51873).clearOutline,a=r(60165),o=a.readPaths,s=a.writePaths,l=a.fixDatesForPaths;t.exports=function(t,e){if(t.length){var r=t[0][0];if(r){var a=r.getAttribute("d"),u=e.gd,c=u._fullLayout.newselection,f=e.plotinfo,h=f.xaxis,p=f.yaxis,d=e.isActiveSelection,v=e.dragmode,g=(u.layout||{}).selections||[];if(!n(v)&&void 0!==d){var y=u._fullLayout._activeSelectionIndex;if(y<g.length)switch(u._fullLayout.selections[y].type){case"rect":v="select";break;case"path":v="lasso"}}var m,x=o(a,u,f,d),b={xref:h._id,yref:p._id,opacity:c.opacity,line:{color:c.line.color,width:c.line.width,dash:c.line.dash}};1===x.length&&(m=x[0]),m&&5===m.length&&"select"===v?(b.type="rect",b.x0=m[0][1],b.y0=m[0][2],b.x1=m[2][1],b.y1=m[2][2]):(b.type="path",h&&p&&l(x,h,p),b.path=s(x),m=null),i(u);for(var _=e.editHelpers,w=(_||{}).modifyItem,T=[],k=0;k<g.length;k++){var A=u._fullLayout.selections[k];if(A){if(T[k]=A._input,void 0!==d&&k===u._fullLayout._activeSelectionIndex){var M=b;switch(A.type){case"rect":w("x0",M.x0),w("x1",M.x1),w("y0",M.y0),w("y1",M.y1);break;case"path":w("path",M.path)}}}else T[k]=A}return void 0===d?(T.push(b),T):_?_.getUpdateObj():{}}}}},75549:function(t,e,r){"use strict";var n=r(71828).strTranslate;function i(t,e){switch(t.type){case"log":return t.p2d(e);case"date":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}t.exports={p2r:i,r2p:function(t,e){switch(t.type){case"log":return t.d2p(e);case"date":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e="y"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},47322:function(t,e,r){"use strict";var n=r(32485),i=r(3937);t.exports={moduleType:"component",name:"selections",layoutAttributes:r(8389),supplyLayoutDefaults:r(59402),supplyDrawNewSelectionDefaults:r(90849),includeBasePlot:r(76325)("selections"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},3937:function(t,e,r){"use strict";var n=r(52142),i=r(38258),a=r(73972),o=r(91424).dashStyle,s=r(7901),l=r(30211),u=r(23469).makeEventData,c=r(64505),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(30477),y=r(21459),m=r(42359),x=r(51873).clearOutline,b=r(60165),_=b.handleEllipse,w=b.readPaths,T=r(90551).newShapes,k=r(35855),A=r(32485).activateLastSelection,M=r(71828),S=M.sorterAsc,E=r(61082),L=r(79990),C=r(41675).getFromId,P=r(33306),O=r(61549).redrawReglTraces,I=r(34122),D=I.MINSELECT,z=E.filter,R=E.tester,F=r(75549),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 0!==t.subplot}function V(t,e,r,n,i,a,o){var s,l,u,c,f,h,p,v,g,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf("event")>-1,b=[];if(function(t){return t&&Array.isArray(t)&&!0!==t[0].hoverOnBox}(y)){Z(t,e,a);var _=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n<e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 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s=R(t[o]);s.subtract=!!t[o].subtract,e.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:function(t,r,n,i){for(var a=!1,o=0;o<e.length;o++)e[o].contains(t,r,n,i)&&(a=!e[o].subtract);return a},isRect:!1,degenerate:!1}}}function Z(t,e,r){var n=e._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(t.shiftKey||t.altKey)&&!(p(a)&&d(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):s&&i.selection||Y(r),o||(x(e),n._lastSelectedSubplot=i.id)}function Y(t,e){var r=t.dragmode,n=t.plotinfo,i=t.gd;(function(t){return t._fullLayout._activeShapeIndex>=0})(i)&&i._fullLayout._deactivateShape(i),function(t){return t._fullLayout._activeSelectionIndex>=0}(i)&&i._fullLayout._deactivateSelection(i);var o=i._fullLayout._zoomlayer,s=p(r),l=v(r);if(s||l){var 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u=!U(n),c=f(i),g=h(i),y=d(i),x=p(i),b=v(i),w="drawcircle"===i,T="drawline"===i||w,k=n.gd,A=k._fullLayout,S=b&&"immediate"===A.newselection.mode&&u,E=A._zoomlayer,C=n.element.getBoundingClientRect(),P=n.plotinfo,O=j(P),F=e-C.left,B=r-C.top;A._calcInverseTransform(k);var N=M.apply3DTransform(A._invTransform)(F,B);F=N[0],B=N[1];var H,q,W,J,K,tt,at,ot=A._invScaleX,st=A._invScaleY,lt=F,pt=B,dt="M"+F+","+B,vt=n.xaxes[0],gt=n.yaxes[0],yt=vt._length,mt=gt._length,xt=t.altKey&&!(p(i)&&y);Z(t,k,n),c&&(H=z([[F,B]],I.BENDPX));var bt=E.selectAll("path.select-outline-"+P.id).data([1]),_t=x?A.newshape:A.newselection;x&&(n.hasText=_t.label.text||_t.label.texttemplate);var wt=x&&!y?_t.fillcolor:"rgba(0,0,0,0)",Tt=_t.line.color||(u?s.contrast(k._fullLayout.plot_bgcolor):"#7f7f7f");bt.enter().append("path").attr("class","select-outline 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Lt=function(t){return t.plotinfo.fillRangeItems||ct(t.xaxes.concat(t.yaxes))}(n);n.moveFn=function(t,e){n._clearSubplotSelections&&(n._clearSubplotSelections(),n._clearSubplotSelections=void 0),lt=Math.max(0,Math.min(yt,ot*t+F)),pt=Math.max(0,Math.min(mt,st*e+B));var r=Math.abs(lt-F),i=Math.abs(pt-B);if(g){var a,o,s;if(b){var l=A.selectdirection;switch(a="any"===l?i<Math.min(.6*r,D)?"h":r<Math.min(.6*i,D)?"v":"d":l){case"h":o=w?mt/2:0,s=mt;break;case"v":o=w?yt/2:0,s=yt}}if(x)switch(A.newshape.drawdirection){case"vertical":a="h",o=w?mt/2:0,s=mt;break;case"horizontal":a="v",o=w?yt/2:0,s=yt;break;case"ortho":r<i?(a="h",o=B,s=pt):(a="v",o=F,s=lt);break;default:a="d"}"h"===a?((J=T?_(w,[lt,o],[lt,s]):[[F,o],[F,s],[lt,s],[lt,o]]).xmin=T?lt:Math.min(F,lt),J.xmax=T?lt:Math.max(F,lt),J.ymin=Math.min(o,s),J.ymax=Math.max(o,s),kt.attr("d","M"+J.xmin+","+(B-D)+"h-4v"+2*D+"h4ZM"+(J.xmax-1)+","+(B-D)+"h4v"+2*D+"h-4Z")):"v"===a?((J=T?_(w,[o,pt],[s,pt]):[[o,B],[o,pt],[s,pt],[s,B]]).xmin=Math.min(o,s),J.xmax=Math.max(o,s),J.ymin=T?pt:Math.min(B,pt),J.ymax=T?pt:Math.max(B,pt),kt.attr("d","M"+(F-D)+","+J.ymin+"v-4h"+2*D+"v4ZM"+(F-D)+","+(J.ymax-1)+"v4h"+2*D+"v-4Z")):"d"===a&&((J=T?_(w,[F,B],[lt,pt]):[[F,B],[F,pt],[lt,pt],[lt,B]]).xmin=Math.min(F,lt),J.xmax=Math.max(F,lt),J.ymin=Math.min(B,pt),J.ymax=Math.max(B,pt),kt.attr("d","M0,0Z"))}else 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p=2*h*Math.PI/a;f.push([s+u*Math.cos(p),l+c*Math.sin(p)])}return f},e.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,u=((r-=s)+i)/2;return{x0:l-(a*=o),y0:u-(s*=o),x1:l+a,y1:u+s}},e.fixDatesForPaths=function(t,e,r){var n="date"===e.type,i="date"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(" ","_")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(" ","_"));return t}},90551:function(t,e,r){"use strict";var n=r(64505),i=n.drawMode,a=n.openMode,o=r(89995),s=o.i000,l=o.i090,u=o.i180,c=o.i270,f=o.cos45,h=o.sin45,p=r(75549),d=p.p2r,v=p.r2p,g=r(51873).clearOutline,y=r(60165),m=y.readPaths,x=y.writePaths,b=y.ellipseOver,_=y.fixDatesForPaths;function w(t,e,r){var n,i=t[0][0],o=e.gd,p=i.getAttribute("d"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?"paper":T._id,yref:M?"paper":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&"drawrect"===r)L.type="rect",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&"drawline"===r)L.type="line",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&"drawcircle"===r){L.type="circle";var C=n[s][1],P=n[l][1],O=n[u][1],I=n[c][1],D=n[s][2],z=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&("date"===y.xaxis.type||"log"===y.xaxis.type),N=y.yaxis&&("date"===y.yaxis.type||"log"===y.yaxis.type);B&&(C=v(y.xaxis,C),P=v(y.xaxis,P),O=v(y.xaxis,O),I=v(y.xaxis,I)),N&&(D=v(y.yaxis,D),z=v(y.yaxis,z),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(P+I)/2,U=(D+R)/2,V=b({x0:j,y0:U,x1:j+(I-P+O-C)/2*f,y1:U+(F-z+R-D)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type="path",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case"rect":a="drawrect";break;case"circle":a="drawcircle";break;case"line":a="drawline";break;case"path":var l=o[s].path||"";a="Z"===l[l.length-1]?"drawclosedpath":"drawopenpath"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case"line":case"rect":case"circle":f("x0",v.x0),f("x1",v.x1),f("y0",v.y0),f("y1",v.y1);break;case"path":f("path",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},51873:function(t){"use strict";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(".outline-controllers").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(".select-outline").remove(),t._fullLayout._outlining=!1}}},30477:function(t,e,r){"use strict";var n=r(21459),i=r(71828),a=r(89298);e.rangeToShapePosition=function(t){return"log"===t.type?t.r2d:function(t){return t}},e.shapePositionToRange=function(t){return"log"===t.type?t.d2r:function(t){return t}},e.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace("_"," ")),t(e)}},e.encodeDate=function(t){return function(e){return t(e).replace(" ","_")}},e.extractPathCoords=function(t,e,r){var a=[];return t.match(n.segmentRE).forEach((function(t){var o=e[t.charAt(0)].drawn;if(void 0!==o){var s=t.substr(1).match(n.paramRE);if(s&&!(s.length<o)){var l=s[o],u=r?l:i.cleanNumber(l);a.push(u)}}})),a},e.getDataToPixel=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if("domain"===i)a=function(t){return r._length*(n?1-t:t)+r._offset};else{var s=e.shapePositionToRange(r);a=function(t){return r._offset+r.r2p(s(t,!0))},"date"===r.type&&(a=e.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},e.getPixelToData=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if("domain"===i)a=function(t){var e=(t-r._offset)/r._length;return n?1-e:e};else{var s=e.rangeToShapePosition(r);a=function(t){return s(r.p2r(t-r._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},e.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},e.makeShapesOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&"paper"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+"axis"]),r.yref&&"paper"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+"axis"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},e.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+"axis"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+"axis"])),{options:r,plotinfo:n}},e.getPathString=function(t,r){var o,s,l,u,c,f,h,p,d=r.type,v=a.getRefType(r.xref),g=a.getRefType(r.yref),y=a.getFromId(t,r.xref),m=a.getFromId(t,r.yref),x=t._fullLayout._size;if(y?"domain"===v?s=function(t){return y._offset+y._length*t}:(o=e.shapePositionToRange(y),s=function(t){return y._offset+y.r2p(o(t,!0))}):s=function(t){return x.l+x.w*t},m?"domain"===g?u=function(t){return m._offset+m._length*(1-t)}:(l=e.shapePositionToRange(m),u=function(t){return m._offset+m.r2p(l(t,!0))}):u=function(t){return x.t+x.h*(1-t)},"path"===d)return y&&"date"===y.type&&(s=e.decodeDate(s)),m&&"date"===m.type&&(u=e.decodeDate(u)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,u=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,c=t.charAt(0),f=n.paramIsX[c],h=n.paramIsY[c],p=n.numParams[c],d=t.substr(1).replace(n.paramRE,(function(t){return f[a]?t="pixel"===o?e(l)+Number(t):e(t):h[a]&&(t="pixel"===s?r(u)-Number(t):r(t)),++a>p&&(t="X"),t}));return a>p&&(d=d.replace(/[\s,]*X.*/,""),i.log("Ignoring extra params in segment "+t)),c+d}))}(r,s,u);if("pixel"===r.xsizemode){var b=s(r.xanchor);c=b+r.x0,f=b+r.x1}else c=s(r.x0),f=s(r.x1);if("pixel"===r.ysizemode){var _=u(r.yanchor);h=_-r.y0,p=_-r.y1}else h=u(r.y0),p=u(r.y1);if("line"===d)return"M"+c+","+h+"L"+f+","+p;if("rect"===d)return"M"+c+","+h+"H"+f+"V"+p+"H"+c+"Z";var w=(c+f)/2,T=(h+p)/2,k=Math.abs(w-c),A=Math.abs(T-h),M="A"+k+","+A,S=w+k+","+T;return"M"+S+M+" 0 1,1 "+w+","+(T-A)+M+" 0 0,1 "+S+"Z"}},89853:function(t,e,r){"use strict";var n=r(34031);t.exports={moduleType:"component",name:"shapes",layoutAttributes:r(89827),supplyLayoutDefaults:r(84726),supplyDrawNewShapeDefaults:r(45547),includeBasePlot:r(76325)("shapes"),calcAutorange:r(5627),draw:n.draw,drawOne:n.drawOne}},37281:function(t){"use strict";function e(t,e){return e?e.d2l(t):t}function r(t,e){return e?e.l2d(t):t}function n(t,r){return e(t.x1,r)-e(t.x0,r)}function i(t,r,n){return e(t.y1,n)-e(t.y0,n)}t.exports={x0:function(t){return t.x0},x1:function(t){return t.x1},y0:function(t){return t.y0},y1:function(t){return t.y1},slope:function(t,e,r){return"line"!==t.type?void 0:i(t,0,r)/n(t,e)},dx:n,dy:i,width:function(t,e){return Math.abs(n(t,e))},height:function(t,e,r){return Math.abs(i(t,0,r))},length:function(t,e,r){return"line"!==t.type?void 0:Math.sqrt(Math.pow(n(t,e),2)+Math.pow(i(t,0,r),2))},xcenter:function(t,n){return r((e(t.x1,n)+e(t.x0,n))/2,n)},ycenter:function(t,n,i){return r((e(t.y1,i)+e(t.y0,i))/2,i)}}},75067:function(t,e,r){"use strict";var n=r(41940),i=r(35025),a=r(1426).extendDeepAll,o=r(30962).overrideAll,s=r(85594),l=r(44467).templatedArray,u=r(98292),c=l("step",{visible:{valType:"boolean",dflt:!0},method:{valType:"enumerated",values:["restyle","relayout","animate","update","skip"],dflt:"restyle"},args:{valType:"info_array",freeLength:!0,items:[{valType:"any"},{valType:"any"},{valType:"any"}]},label:{valType:"string"},value:{valType:"string"},execute:{valType:"boolean",dflt:!0}});t.exports=o(l("slider",{visible:{valType:"boolean",dflt:!0},active:{valType:"number",min:0,dflt:0},steps:c,lenmode:{valType:"enumerated",values:["fraction","pixels"],dflt:"fraction"},len:{valType:"number",min:0,dflt:1},x:{valType:"number",min:-2,max:3,dflt:0},pad:a(i({editType:"arraydraw"}),{},{t:{dflt:20}}),xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"left"},y:{valType:"number",min:-2,max:3,dflt:0},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"top"},transition:{duration:{valType:"number",min:0,dflt:150},easing:{valType:"enumerated",values:s.transition.easing.values,dflt:"cubic-in-out"}},currentvalue:{visible:{valType:"boolean",dflt:!0},xanchor:{valType:"enumerated",values:["left","center","right"],dflt:"left"},offset:{valType:"number",dflt:10},prefix:{valType:"string"},suffix:{valType:"string"},font:n({})},font:n({}),activebgcolor:{valType:"color",dflt:u.gripBgActiveColor},bgcolor:{valType:"color",dflt:u.railBgColor},bordercolor:{valType:"color",dflt:u.railBorderColor},borderwidth:{valType:"number",min:0,dflt:u.railBorderWidth},ticklen:{valType:"number",min:0,dflt:u.tickLength},tickcolor:{valType:"color",dflt:u.tickColor},tickwidth:{valType:"number",min:0,dflt:1},minorticklen:{valType:"number",min:0,dflt:u.minorTickLength}}),"arraydraw","from-root")},98292:function(t){"use strict";t.exports={name:"sliders",containerClassName:"slider-container",groupClassName:"slider-group",inputAreaClass:"slider-input-area",railRectClass:"slider-rail-rect",railTouchRectClass:"slider-rail-touch-rect",gripRectClass:"slider-grip-rect",tickRectClass:"slider-tick-rect",inputProxyClass:"slider-input-proxy",labelsClass:"slider-labels",labelGroupClass:"slider-label-group",labelClass:"slider-label",currentValueClass:"slider-current-value",railHeight:5,menuIndexAttrName:"slider-active-index",autoMarginIdRoot:"slider-",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:"#bec8d9",railBgColor:"#f8fafc",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:"#bec8d9",gripBgColor:"#f6f8fa",gripBgActiveColor:"#dbdde0",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:"#333",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:"#333",minorTickLength:4,currentValuePadding:8,currentValueInset:0}},12343:function(t,e,r){"use 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n.coerce(t,e,s,r,i)}if("skip"===t.method||Array.isArray(t.args)?r("visible"):e.visible=!1){r("method"),r("args");var i=r("label","step-"+e._index);r("value",i),r("execute")}}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},44504:function(t,e,r){"use strict";var n=r(39898),i=r(74875),a=r(7901),o=r(91424),s=r(71828),l=s.strTranslate,u=r(63893),c=r(44467).arrayEditor,f=r(98292),h=r(18783),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR;function g(t){return f.autoMarginIdRoot+t._index}function y(t){return t._index}function m(t,e){var r=o.tester.selectAll("g."+f.labelGroupClass).data(e._visibleSteps);r.enter().append("g").classed(f.labelGroupClass,!0);var a=0,l=0;r.each((function(t){var r=_(n.select(this),{step:t},e).node();if(r){var i=o.bBox(r);l=Math.max(l,i.height),a=Math.max(a,i.width)}})),r.remove();var c=e._dims={};c.inputAreaWidth=Math.max(f.railWidth,f.gripHeight);var h=t._fullLayout._size;c.lx=h.l+h.w*e.x,c.ly=h.t+h.h*(1-e.y),"fraction"===e.lenmode?c.outerLength=Math.round(h.w*e.len):c.outerLength=e.len,c.inputAreaStart=0,c.inputAreaLength=Math.round(c.outerLength-e.pad.l-e.pad.r);var p=(c.inputAreaLength-2*f.stepInset)/(e._stepCount-1),y=a+f.labelPadding;if(c.labelStride=Math.max(1,Math.ceil(y/p)),c.labelHeight=l,c.currentValueMaxWidth=0,c.currentValueHeight=0,c.currentValueTotalHeight=0,c.currentValueMaxLines=1,e.currentvalue.visible){var m=o.tester.append("g");r.each((function(t){var r=x(m,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=u.lineCount(r);c.currentValueMaxWidth=Math.max(c.currentValueMaxWidth,Math.ceil(n.width)),c.currentValueHeight=Math.max(c.currentValueHeight,Math.ceil(n.height)),c.currentValueMaxLines=Math.max(c.currentValueMaxLines,i)})),c.currentValueTotalHeight=c.currentValueHeight+e.currentvalue.offset,m.remove()}c.height=c.currentValueTotalHeight+f.tickOffset+e.ticklen+f.labelOffset+c.labelHeight+e.pad.t+e.pad.b;var b="left";s.isRightAnchor(e)&&(c.lx-=c.outerLength,b="right"),s.isCenterAnchor(e)&&(c.lx-=c.outerLength/2,b="center");var w="top";s.isBottomAnchor(e)&&(c.ly-=c.height,w="bottom"),s.isMiddleAnchor(e)&&(c.ly-=c.height/2,w="middle"),c.outerLength=Math.ceil(c.outerLength),c.height=Math.ceil(c.height),c.lx=Math.round(c.lx),c.ly=Math.round(c.ly);var T={y:e.y,b:c.height*v[w],t:c.height*d[w]};"fraction"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*v[b]):(T.x=e.x,T.l=c.outerLength*d[b],T.r=c.outerLength*v[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case"right":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i="left";break;case"center":n=.5*a.inputAreaLength,i="middle";break;default:n=f.currentValueInset,i="left"}var l=s.ensureSingle(t,"text",f.labelClass,(function(t){t.attr({"text-anchor":i,"data-notex":1})})),c=e.currentvalue.prefix?e.currentvalue.prefix:"";if("string"==typeof r)c+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),c+=h}e.currentvalue.suffix&&(c+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(c).call(u.convertToTspans,e._gd);var v=u.lineCount(l),g=(a.currentValueMaxLines+1-v)*e.currentvalue.font.size*p;return u.positionText(l,n,g),l}}function b(t,e,r){s.ensureSingle(t,"rect",f.gripRectClass,(function(n){n.call(A,e,t,r).style("pointer-events","all")})).attr({width:f.gripWidth,height:f.gripHeight,rx:f.gripRadius,ry:f.gripRadius}).call(a.stroke,r.bordercolor).call(a.fill,r.bgcolor).style("stroke-width",r.borderwidth+"px")}function _(t,e,r){var n=s.ensureSingle(t,"text",f.labelClass,(function(t){t.attr({"text-anchor":"middle","data-notex":1})})),i=e.step.label,a=r._gd._fullLayout._meta;return a&&(i=s.templateString(i,a)),n.call(o.font,r.font).text(i).call(u.convertToTspans,r._gd),n}function w(t,e){var r=s.ensureSingle(t,"g",f.labelsClass),i=e._dims,a=r.selectAll("g."+f.labelGroupClass).data(i.labelSteps);a.enter().append("g").classed(f.labelGroupClass,!0),a.exit().remove(),a.each((function(t){var r=n.select(this);r.call(_,t,e),o.setTranslate(r,E(e,t.fraction),f.tickOffset+e.ticklen+e.font.size*p+f.labelOffset+i.currentValueTotalHeight)}))}function T(t,e,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&k(t,e,r,o,!0,i)}function k(t,e,r,n,a,o){var s=r.active;r.active=n,c(t.layout,f.name,r).applyUpdate("active",n);var l=r.steps[r.active];e.call(S,r,o),e.call(x,r),t.emit("plotly_sliderchange",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function A(t,e,r){if(!e._context.staticPlot){var i=r.node(),o=n.select(e);t.on("mousedown",l),t.on("touchstart",l)}function s(){return r.data()[0]}function l(){var t=s();e.emit("plotly_sliderstart",{slider:t});var 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0===e.minor._tick0Init&&(t.tick0=e.tick0)},q.prepTicks=function(t,e){var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if("auto"===t.tickmode||!t.dtick){var n,a=t.nticks;a||("category"===t.type||"multicategory"===t.type?(n=t.tickfont?s.bigFont(t.tickfont.size||12):15,a=t._length/n):(n="y"===t._id.charAt(0)?40:80,a=s.constrain(t._length/n,4,9)+1),"radialaxis"===t._name&&(a*=2)),t.minor&&"array"!==t.minor.tickmode||"array"===t.tickmode&&(a*=100),t._roughDTick=Math.abs(r[1]-r[0])/a,q.autoTicks(t,t._roughDTick),t._minDtick>0&&t.dtick<2*t._minDtick&&(t.dtick=t._minDtick,t.tick0=t.l2r(t._forceTick0))}"period"===t.ticklabelmode&&function(t){var e;function r(){return!(i(t.dtick)||"M"!==t.dtick.charAt(0))}var n=r(),a=q.getTickFormat(t);if(a){var 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L=(v+.5)/84;e.maskBreaks(i*(1-L)+L*p)!==O&&d++}(h*=d/84)||(t[n].drop=!0),s&&c>A&&(h=c)}(h>0||0===n)&&(t[n].periodX=i+h/2)}}(C,t,t._definedDelta),t.rangebreaks){var it="y"===t._id.charAt(0),st=1;"auto"===t.tickmode&&(st=t.tickfont?t.tickfont.size:12);var lt=NaN;for(r=C.length-1;r>-1;r--)if(C[r].drop)C.splice(r,1);else{C[r].value=zt(C[r].value,t);var ut=t.c2p(C[r].value);(it?lt>ut-st:lt<ut+st)?C.splice(f?r+1:r,1):lt=ut}}Dt(t)&&360===Math.abs(c[1]-c[0])&&C.pop(),t._tmax=(C[C.length-1]||{}).value,t._prevDateHead="",t._inCalcTicks=!0;var ct,ft,ht=function(e){e.text="",t._prevDateHead=n};for(C=C.concat(P),r=0;r<C.length;r++){var pt=C[r].minor,dt=C[r].value;pt?L.push({x:dt,minor:!0}):(n=t._prevDateHead,ct=q.tickText(t,dt,!1,C[r].simpleLabel),void 0!==(ft=C[r].periodX)&&(ct.periodX=ft,(ft>p||ft<h)&&(ft>p&&(ct.periodX=p),ft<h&&(ct.periodX=h),ht(ct))),C[r].skipLabel&&ht(ct),v.push(ct))}return v=v.concat(L),t._inCalcTicks=!1,u&&v.length&&(v[0].noTick=!0),v};var st=[2,5,10],lt=[1,2,3,6,12],ut=[1,2,5,10,15,30],ct=[1,2,3,7,14],ft=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],ht=[-.301,0,.301,.699,1],pt=[15,30,45,90,180];function dt(t,e,r){return e*s.roundUp(t/e,r)}function vt(t){var e=t.dtick;if(t._tickexponent=0,i(e)||"string"==typeof e||(e=1),"category"!==t.type&&"multicategory"!==t.type||(t._tickround=null),"date"===t.type){var r=t.r2l(t.tick0),n=t.l2r(r).replace(/(^-|i)/g,""),a=n.length;if("M"===String(e).charAt(0))a>10||"01-01"!==n.substr(5)?t._tickround="d":t._tickround=+e.substr(1)%12==0?"y":"m";else if(e>=M&&a<=10||e>=15*M)t._tickround="d";else if(e>=L&&a<=16||e>=E)t._tickround="M";else if(e>=C&&a<=19||e>=L)t._tickround="S";else{var o=t.l2r(r+e).replace(/^-/,"").length;t._tickround=Math.max(a,o)-20,t._tickround<0&&(t._tickround=4)}}else if(i(e)||"L"===e.charAt(0)){var s=t.range.map(t.r2d||Number);i(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var l=Math.max(Math.abs(s[0]),Math.abs(s[1])),u=Math.floor(Math.log(l)/Math.LN10+.01),c=void 0===t.minexponent?3:t.minexponent;Math.abs(u)>c&&(mt(t.exponentformat)&&!xt(u)?t._tickexponent=3*Math.round((u-1)/3):t._tickexponent=u)}else t._tickround=null}function gt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||"",fontSize:n.size,font:n.family,fontColor:n.color}}q.autoTicks=function(t,e,r){var n;function a(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if("date"===t.type){t.tick0=s.dateTick0(t.calendar,0);var o=2*e;if(o>y)e/=y,n=a(10),t.dtick="M"+12*dt(e,n,st);else if(o>T)e/=T,t.dtick="M"+dt(e,1,lt);else if(o>M){if(t.dtick=dt(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:ct),!r){var l=q.getTickFormat(t),u="period"===t.ticklabelmode;u&&(t._rawTick0=t.tick0),/%[uVW]/.test(l)?t.tick0=s.dateTick0(t.calendar,2):t.tick0=s.dateTick0(t.calendar,1),u&&(t._dowTick0=t.tick0)}}else o>E?t.dtick=dt(e,E,lt):o>L?t.dtick=dt(e,L,ut):o>C?t.dtick=dt(e,C,ut):(n=a(10),t.dtick=dt(e,n,st))}else if("log"===t.type){t.tick0=0;var c=s.simpleMap(t.range,t.r2l);if(t._isMinor&&(e*=1.5),e>.7)t.dtick=Math.ceil(e);else if(Math.abs(c[1]-c[0])<1){var f=1.5*Math.abs((c[1]-c[0])/e);e=Math.abs(Math.pow(10,c[1])-Math.pow(10,c[0]))/f,n=a(10),t.dtick="L"+dt(e,n,st)}else t.dtick=e>.3?"D2":"D1"}else"category"===t.type||"multicategory"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):Dt(t)?(t.tick0=0,n=1,t.dtick=dt(e,n,pt)):(t.tick0=0,n=a(10),t.dtick=dt(e,n,st));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&"string"!=typeof t.dtick){var h=t.dtick;throw t.dtick=1,"ax.dtick error: "+String(h)}},q.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),u=o*Number(e.substr(1));if("M"===l)return s.incrementMonth(t,u,a);if("L"===l)return Math.log(Math.pow(10,t)+u)/Math.LN10;if("D"===l){var c="D2"===e?ht:ft,f=t+.01*o,h=s.roundUp(s.mod(f,1),c,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw"unrecognized dtick 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a,o=gt(t,e),l="array"===t.tickmode,u=r||l,c=t.type,f="category"===c?t.d2l_noadd:t.d2l;if(l&&Array.isArray(t.ticktext)){var h=s.simpleMap(t.range,t.r2l),p=(Math.abs(h[1]-h[0])-(t._lBreaks||0))/1e4;for(a=0;a<t.ticktext.length&&!(Math.abs(e-f(t.tickvals[a]))<p);a++);if(a<t.ticktext.length)return o.text=String(t.ticktext[a]),o}function d(n){if(void 0===n)return!0;if(r)return"none"===n;var i={first:t._tmin,last:t._tmax}[n];return"all"!==n&&e!==i}var v=r?"never":"none"!==t.exponentformat&&d(t.showexponent)?"hide":"";if("date"===c?function(t,e,r,n){var a=t._tickround,o=r&&t.hoverformat||q.getTickFormat(t);(n=!o&&n)&&(a=i(a)?4:{y:"m",m:"d",d:"M",M:"S",S:4}[a]);var l,u=s.formatDate(e.x,o,a,t._dateFormat,t.calendar,t._extraFormat),c=u.indexOf("\n");if(-1!==c&&(l=u.substr(c+1),u=u.substr(0,c)),n&&(void 0===l||"00:00:00"!==u&&"00:00"!==u?8===u.length&&(u=u.replace(/:00$/,"")):(u=l,l="")),l)if(r)"d"===a?u+=", "+l:u=l+(u?", "+u:"");else if(t._inCalcTicks&&t._prevDateHead===l){var 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F,B,N=Math.abs(l._m),j=i.concatExtremes(t,l),U=j.min,V=j.max;for(B=0;B<U.length;B++)(F=U[B].val-z(U[B])/N)>I&&F<C&&(C=F);for(B=0;B<V.length;B++)(F=V[B].val+R(V[B])/N)<D&&F>P&&(P=F);h/=(P-C)/(2*O),C=l.l2r(C),P=l.l2r(P),l.range=l._input.range=S<E?[C,P]:[P,C]}y(l,h)}}},e.getAxisGroup=function(t,e){for(var r=t._axisMatchGroups,n=0;n<r.length;n++)if(r[n][e])return"g"+n;return e},e.clean=function(t,e){if(e._inputDomain){for(var r=!1,n=e._id,i=t._fullLayout._axisConstraintGroups,a=0;a<i.length;a++)if(i[a][n]){r=!0;break}r&&"domain"===e.constrain||(e._input.domain=e.domain=e._inputDomain,delete e._inputDomain)}}},29323:function(t,e,r){"use strict";var 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O,I,V,X,J,K,$,Q,tt,et,rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=t._fullLayout._zoomlayer,gt=v+y==="nsew",yt=1===(v+y).length;function mt(){if(O=e.xaxis,I=e.yaxis,tt=O._length,et=I._length,$=O._offset,Q=I._offset,(V={})[O._id]=O,(X={})[I._id]=I,v&&y)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;V[i._id]=i;var a=r[n].yaxis;X[a._id]=a}J=W(V),K=W(X),it=z(J,y),at=z(K,v),ot=!at&&!it,nt=Z(t,t._fullLayout._axisMatchGroups,V,X);var o=(rt=Z(t,t._fullLayout._axisConstraintGroups,V,X,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=y||o,lt=v||o;var s=t._fullLayout;ut=s._has("scattergl"),ct=s._has("splom"),ft=s._has("svg")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?"nsew"===t?r?"":"pan"===e?"move":"crosshair":t.toLowerCase()+"-resize":"pointer"}(at+it,t._fullLayout.dragmode,gt),bt=D(e,v+y+"drag",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents="none",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(H(i),2!==t||yt||qt(),gt)o.indexOf("select")>-1&&S(r,i,J,K,e.id,Pt),o.indexOf("event")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,u="s"===v||"w"===y?0:1,f=s._name+".range["+u+"]",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return"date"===t.type?n:"log"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a("."+r+"g")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a("."+String(r)+"g")(n))}(s,u),d="left",g="middle";if(s.fixedrange)return;v?(g="n"===v?"top":"bottom","right"===s.side&&(d="right")):"e"===y&&(d="right"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:"#444",horizontalAlign:d,verticalAlign:g}).on("edit",(function(t){var e=s.d2r(t);void 0!==e&&l.call("_guiRelayout",i,f,e)}))}}}function Dt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function 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a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?"pan"===s?s="zoom":m(s)||(s="pan"):e.ctrlKey&&(s="pan"):s="pan"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,m(s)?(Pt.xaxes=J,Pt.yaxes=K,A(e,r,n,Pt,s)):(Pt.clickFn=It,m(a)&&Ot(),ot||("zoom"===s?(Pt.moveFn=Dt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St="xy",Ct=!1,Et=N(vt,kt,$,Q,At="M0,0H"+tt+"V"+et+"H0V0"),Lt=j(vt,$,Q)}(0,r,n)):"pan"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Zt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var 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c;if(nt.isSubplotConstrained||!it&&1===at.length){for(c=0;c<J.length;c++)J[c].range=J[c]._r.slice(),E(J[c],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(c=0;c<K.length;c++)K[c].range=K[c]._r.slice(),E(K[c],1-e/tt);s=(r=e*et/tt)/2}}nt.isSubplotConstrained&&at||Vt("x"),nt.isSubplotConstrained&&it||Vt("y");var f=tt-e,h=et-r;!nt.isSubplotConstrained||it&&at||(it?(s=o?0:e*et/tt,h=f*et/tt):(o=s?0:r*tt/et,f=h*tt/et)),Zt([o,s,f,h]),Ht(),t.emit("plotly_relayouting",ht)}function p(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/B(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Vt(t,e){for(var r=nt.isSubplotConstrained?{x:K,y:J}[t]:nt[t+"axes"],n=nt.isSubplotConstrained?{x:J,y:K}[t]:[],i=0;i<r.length;i++){var 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n=r(22399),i=r(27670).Y,a=r(79952).P,o=r(78776),s=r(30962).overrideAll,l=r(78607),u={range:{valType:"info_array",items:[{valType:"number"},{valType:"number"}]},showgrid:{valType:"boolean",dflt:!1},tick0:{valType:"number",dflt:0},dtick:{valType:"number"},gridcolor:{valType:"color",dflt:n.lightLine},gridwidth:{valType:"number",min:0,dflt:1},griddash:a};(t.exports=s({domain:i({name:"geo"},{}),fitbounds:{valType:"enumerated",values:[!1,"locations","geojson"],dflt:!1,editType:"plot"},resolution:{valType:"enumerated",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:"enumerated",values:l(o.scopeDefaults),dflt:"world"},projection:{type:{valType:"enumerated",values:l(o.projNames)},rotation:{lon:{valType:"number"},lat:{valType:"number"},roll:{valType:"number"}},tilt:{valType:"number",dflt:0},distance:{valType:"number",min:1.001,dflt:2},parallels:{valType:"info_array",items:[{valType:"number"},{valType:"number"}]},scale:{valType:"number",min:0,dflt:1}},center:{lon:{valType:"number"},lat:{valType:"number"}},visible:{valType:"boolean",dflt:!0},showcoastlines:{valType:"boolean"},coastlinecolor:{valType:"color",dflt:n.defaultLine},coastlinewidth:{valType:"number",min:0,dflt:1},showland:{valType:"boolean",dflt:!1},landcolor:{valType:"color",dflt:o.landColor},showocean:{valType:"boolean",dflt:!1},oceancolor:{valType:"color",dflt:o.waterColor},showlakes:{valType:"boolean",dflt:!1},lakecolor:{valType:"color",dflt:o.waterColor},showrivers:{valType:"boolean",dflt:!1},rivercolor:{valType:"color",dflt:o.waterColor},riverwidth:{valType:"number",min:0,dflt:1},showcountries:{valType:"boolean"},countrycolor:{valType:"color",dflt:n.defaultLine},countrywidth:{valType:"number",min:0,dflt:1},showsubunits:{valType:"boolean"},subunitcolor:{valType:"color",dflt:n.defaultLine},subunitwidth:{valType:"number",min:0,dflt:1},showframe:{valType:"boolean"},framecolor:{valType:"color",dflt:n.defaultLine},framewidth:{valType:"number",min:0,dflt:1},bgcolor:{valType:"color",dflt:n.background},lonaxis:u,lataxis:u},"plot","from-root")).uirevision={valType:"any",editType:"none"}},82161:function(t,e,r){"use 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n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}(r,_),T=function(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}((o=(t=C)[0],l=t[1],u=t[2],c=t[3],[o*(f=(a=w)[0])-l*(p=a[1])-u*(d=a[2])-c*(y=a[3]),o*p+l*f+u*y-c*d,o*d-l*y+u*f+c*p,o*y+l*d-u*p+c*f])),k=i.r=function(t,e,r){var n=m(e,2,t[0]);n=m(n,1,t[1]),n=m(n,0,t[2]-r[2]);var i,a,o=e[0],l=e[1],u=e[2],c=n[0],f=n[1],h=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(f)>d?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var v=180-a-2*p,y=(Math.atan2(h,c)-Math.atan2(u,i))*s,x=(Math.atan2(h,c)-Math.atan2(u,-i))*s;return g(r[0],r[1],a,y)<=g(r[0],r[1],v,x)?[a,y,r[2]]:[v,x,r[2]]}(T,r,E);isFinite(k[0])&&isFinite(k[1])&&isFinite(k[2])||(k=E),e.rotate(k),E=k}}else r=v(e,M=b);h.of(this,arguments)({type:"zoom"})})),A=h.of(this,arguments),p++||A({type:"zoomstart"})})).on("zoomend",(function(){var r;n.select(this).style(u),d.call(a,"zoom",null),r=h.of(this,arguments),--p||r({type:"zoomend"}),f(t,e,y)})).on("zoom.redraw",(function(){t.render(!0);var r=e.rotate();t.graphDiv.emit("plotly_relayouting",{"geo.projection.scale":e.scale()/t.fitScale,"geo.projection.rotation.lon":-r[0],"geo.projection.rotation.lat":-r[1]})})),n.rebind(a,h,"on")}function v(t,e){var r=t.invert(e);return r&&isFinite(r[0])&&isFinite(r[1])&&function(t){var e=t[0]*o,r=t[1]*o,n=Math.cos(r);return[n*Math.cos(e),n*Math.sin(e),Math.sin(r)]}(r)}function g(t,e,r,n){var i=y(r-t),a=y(n-e);return Math.sqrt(i*i+a*a)}function y(t){return(t%360+540)%360-180}function m(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),u=Math.sin(n);return i[a]=t[a]*l-t[s]*u,i[s]=t[s]*l+t[a]*u,i}function x(t,e){for(var r=0,n=0,i=t.length;n<i;++n)r+=t[n]*e[n];return r}t.exports=function(t,e){var r=t.projection;return(e._isScoped?h:e._isClipped?d:p)(t,r)}},27659:function(t,e,r){"use strict";var n=r(73972),i=r(85555).SUBPLOT_PATTERN;e.AU=function(t,e,r){var i=n.subplotsRegistry[e];if(!i)return[];for(var a=i.attr,o=[],s=0;s<t.length;s++){var l=t[s];l[0].trace[a]===r&&o.push(l)}return o},e.a0=function(t,e){var r,i=[],a=[];if(!(r="string"==typeof e?n.getModule(e).plot:"function"==typeof e?e:e.plot))return[i,t];for(var o=0;o<t.length;o++){var s=t[o],l=s[0].trace;!0===l.visible&&0!==l._length&&(l._module&&l._module.plot===r?i.push(s):a.push(s))}return[i,a]},e.NG=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,u=[];if("gl2d"===e){var c=r.match(i);o="x"+c[1],s="y"+c[2]}for(var f=0;f<t.length;f++)a=t[f],"gl2d"===e&&n.traceIs(a,"gl2d")?a[l[0]]===o&&a[l[1]]===s&&u.push(a):a[l]===r&&u.push(a);return u}},75071:function(t,e,r){"use strict";var n=r(16825),i=r(1195),a=r(48956),o=r(85555),s=r(38520);function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}t.exports=function(t){var e=t.mouseContainer,r=t.glplot,u=new l(e,r);function c(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=u.lastPos[0],p=u.lastPos[1],d=o.MINDRAG*r.pixelRatio,v=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,u.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case"zoom":if(e){var y=n/(f[2]-f[0])*(l[2]-l[0])+l[0],m=i/(f[3]-f[1])*(l[3]-l[1])+l[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=m,u.dragStart[0]=n,u.dragStart[1]=i),u.boxEnd[0]=y,u.boxEnd[1]=m,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-n)<v,b=Math.abs(u.dragStart[1]-i)<v;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(u.boxEnd[0]=u.boxStart[0]),b&&(u.boxEnd[1]=u.boxStart[1]);else{a=u.boxEnd[0]-u.boxStart[0],s=u.boxEnd[1]-u.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]<l[1]?(u.boxEnd[1]=l[1],u.boxEnd[0]=u.boxStart[0]+(l[1]-u.boxStart[1])/Math.abs(_)):u.boxEnd[1]>l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]<l[0]?(u.boxEnd[0]=l[0],u.boxEnd[1]=u.boxStart[1]+(l[0]-u.boxStart[0])*Math.abs(_)):u.boxEnd[0]>l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case"pan":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n)<d&&(n=u.dragStart[0]),Math.abs(u.dragStart[1]-i)<d&&(i=u.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),u.panning=!0,u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=n,u.lastPos[1]=i}return u.mouseListener=n(e,f),e.addEventListener("touchstart",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener("touchmove",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener("touchend",(function(t){f(0,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},82961:function(t,e,r){"use strict";var n=r(89298),i=r(78614);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=["x","y"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=["sans-serif","sans-serif"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title="",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont="sans-serif",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=["xaxis","yaxis"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?"":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]="auto"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf("all"):!!a,f=u?"allticks"===a:-1!==String(a).indexOf("ticks"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return"xaxis"===t?"bottom"===r:"yaxis"===t?"left"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return"xaxis"===t?"top"===r:"yaxis"===t?"right"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return"xaxis"===t?"top"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:"yaxis"===t?"right"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return"outside"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return"inside"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},4796:function(t,e,r){"use strict";var n=r(30962).overrideAll,i=r(92918),a=r(10820),o=r(77922),s=r(85555),l=r(93612),u=r(528),c=r(27659).NG;e.name="gl2d",e.attr=["xaxis","yaxis"],e.idRoot=["x","y"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(89502),e.supplyLayoutDefaults=function(t,e,r){e._has("cartesian")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,"plot","from-root"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},"plot","nested"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,"gl2d",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===c(t,"gl2d",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage("png");e._glimages.append("svg:image").attr({xmlns:o.svg,"xlink:href":a,x:0,y:0,width:"100%",height:"100%",preserveAspectRatio:"none"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},92918:function(t,e,r){"use strict";var n,i,a=r(73972),o=r(89298),s=r(30211),l=r(9330).gl_plot2d,u=r(9330).gl_spikes2d,c=r(9330).gl_select_box,f=r(40372),h=r(82961),p=r(75071),d=r(58617),v=r(99082),g=v.enforce,y=v.clean,m=r(71739).doAutoRange,x=r(64505),b=x.drawMode,_=x.selectMode,w=["xaxis","yaxis"],T=r(85555).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement("canvas"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error("Error creating static canvas/context for image server");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(".gl-canvas-focus"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width="100%",r.style.height="100%",r.style.position="absolute",r.style.top="0px",r.style.left="0px",r.style["pointer-events"]="none",this.updateSize(r);var a=this.svgContainer=document.createElementNS("http://www.w3.org/2000/svg","svg");a.style.position="absolute",a.style.top=a.style.left="0px",a.style.width=a.style.height="100%",a.style["z-index"]=20,a.style["pointer-events"]="none";var o=this.mouseContainer=document.createElement("div");o.style.position="absolute",o.style["pointer-events"]="auto",this.pickCanvas=this.container.querySelector(".gl-canvas-pick");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener("mouseout",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener("mouseover",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t="png"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement("canvas");f.width=r,f.height=i;var h,p=f.getContext("2d",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case"jpeg":h=f.toDataURL("image/jpeg");break;case"webp":h=f.toDataURL("image/webp");break;default:h=f.toDataURL("image/png")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+"";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r="xaxis"+e[1],n="yaxis"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+".range"]=e.range.slice(),s=i[r._name+".range"]=r.range.slice();i[e._name+".autorange"]=e.autorange,i[r._name+".autorange"]=r.autorange,a.call("_storeDirectGUIEdit",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit("plotly_relayout",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod("annotations","drawOne")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener("wheel",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+"px",this.mouseContainer.style.height=c.h*(h[1]-h[0])+"px",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+"px",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+"px",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style["pointer-events"]="none",this.mouseContainer.style["pointer-events"]="none"):(this.pickCanvas.style["pointer-events"]="auto",this.mouseContainer.style["pointer-events"]="auto"),this.mouseContainer.style.cursor="pan"===t?"move":"zoom"===t?"crosshair":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,"plotly_click"),a&&"skip"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,"plotly_hover");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&"all"!==m){var x=m.split("+");-1===x.indexOf("x")&&(v.traceCoord[0]=void 0),-1===x.indexOf("y")&&(v.traceCoord[1]=void 0),-1===x.indexOf("z")&&(v.traceCoord[2]=void 0),-1===x.indexOf("text")&&(v.textLabel=void 0),-1===x.indexOf("name")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter("xaxis",v.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,"bgcolor")||v.color,borderColor:s.castHoverOption(g,y,"bordercolor"),fontFamily:s.castHoverOption(g,y,"font.family"),fontSize:s.castHoverOption(g,y,"font.size"),fontColor:s.castHoverOption(g,y,"font.color"),nameLength:s.castHoverOption(g,y,"namelength"),textAlign:s.castHoverOption(g,y,"align")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit("plotly_unhover"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),"hover").text}}},58547:function(t,e,r){"use strict";var n=r(30962).overrideAll,i=r(528),a=r(33539),o=r(27659).NG,s=r(71828),l=r(77922),u="gl3d",c="scene";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex("scene"),e.attributes=r(59084),e.layoutAttributes=r(65500),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},"plot","nested"),e.supplyLayoutDefaults=r(24682),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(".annotation-"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage("png");e._glimages.append("svg:image").attr({xmlns:l.svg,"xlink:href":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:"none"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return"1"===e&&(e=""),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},59084:function(t){"use strict";t.exports={scene:{valType:"subplotid",dflt:"scene",editType:"calc+clearAxisTypes"}}},77894:function(t,e,r){"use strict";var n=r(7901),i=r(13838),a=r(1426).extendFlat,o=r(30962).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:"boolean",dflt:!0},spikesides:{valType:"boolean",dflt:!0},spikethickness:{valType:"number",min:0,dflt:2},spikecolor:{valType:"color",dflt:n.defaultLine},showbackground:{valType:"boolean",dflt:!1},backgroundcolor:{valType:"color",dflt:"rgba(204, 204, 204, 0.5)"},showaxeslabels:{valType:"boolean",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:["-","linear","log","date","category"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:"plot"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}},{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:"rgb(204, 204, 204)"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},"plot","from-root")},3277:function(t,e,r){"use strict";var n=r(84267).mix,i=r(71828),a=r(44467),o=r(77894),s=r(951),l=r(71453),u=["xaxis","yaxis","zaxis"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h("gridcolor",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h("title.text",d[0]),f.setScale=i.noop,h("showspikes")&&(h("spikesides"),h("spikethickness"),h("spikecolor",f.color)),h("showaxeslabels"),h("showbackground")&&h("backgroundcolor")}}},30422:function(t,e,r){"use strict";var n=r(78614),i=r(71828),a=["xaxis","yaxis","zaxis"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont=["Open Sans","Open Sans","Open Sans"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,"font"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size)),"showline"in s&&(r.lineEnable[o]=s.showline),"linecolor"in s&&(r.lineColor[o]=n(s.linecolor)),"linewidth"in s&&(r.lineWidth[o]=s.linewidth),"showgrid"in s&&(r.gridEnable[o]=s.showgrid),"gridcolor"in s&&(r.gridColor[o]=n(s.gridcolor)),"gridwidth"in s&&(r.gridWidth[o]=s.gridwidth),"log"===s.type?r.zeroEnable[o]=!1:"zeroline"in s&&(r.zeroEnable[o]=s.zeroline),"zerolinecolor"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),"zerolinewidth"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),"ticks"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,"ticklen"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),"tickcolor"in s&&(r.lineTickColor[o]=n(s.tickcolor)),"tickwidth"in s&&(r.lineTickWidth[o]=s.tickwidth),"tickangle"in s&&(r.tickAngle[o]="auto"===s.tickangle?-3600:Math.PI*-s.tickangle/180),"showticklabels"in s&&(r.tickEnable[o]=s.showticklabels),"tickfont"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size)),"mirror"in s?-1!==["ticks","all","allticks"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,"showbackground"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},24682:function(t,e,r){"use strict";var n=r(71828),i=r(7901),a=r(73972),o=r(49119),s=r(3277),l=r(65500),u=r(27659).NG,c="gl3d";function f(t,e,r,n){for(var o=r("bgcolor"),l=i.combine(o,n.paper_bgcolor),f=["up","center","eye"],h=0;h<f.length;h++)r("camera."+f[h]+".x"),r("camera."+f[h]+".y"),r("camera."+f[h]+".z");r("camera.projection.type");var p=!!r("aspectratio.x")&&!!r("aspectratio.y")&&!!r("aspectratio.z"),d=r("aspectmode",p?"manual":"auto");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},"manual"===d&&(e.aspectmode="auto"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod("annotations3d","handleDefaults")(t,e,n);var g=n.getDfltFromLayout("dragmode");if(!1!==g&&!g)if(g="orbit",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g="turntable"):g="turntable")}else g="turntable";r("dragmode",g),r("hovermode",n.getDfltFromLayout("hovermode"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},65500:function(t,e,r){"use strict";var n=r(77894),i=r(27670).Y,a=r(1426).extendFlat,o=r(71828).counterRegex;function s(t,e,r){return{x:{valType:"number",dflt:t,editType:"camera"},y:{valType:"number",dflt:e,editType:"camera"},z:{valType:"number",dflt:r,editType:"camera"},editType:"camera"}}t.exports={_arrayAttrRegexps:[o("scene",".annotations",!0)],bgcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"plot"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:"enumerated",values:["perspective","orthographic"],dflt:"perspective",editType:"calc"},editType:"calc"},editType:"camera"},domain:i({name:"scene",editType:"plot"}),aspectmode:{valType:"enumerated",values:["auto","cube","data","manual"],dflt:"auto",editType:"plot",impliedEdits:{"aspectratio.x":void 0,"aspectratio.y":void 0,"aspectratio.z":void 0}},aspectratio:{x:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},y:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},z:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},editType:"plot",impliedEdits:{aspectmode:"manual"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:"enumerated",values:["orbit","turntable","zoom","pan",!1],editType:"plot"},hovermode:{valType:"enumerated",values:["closest",!1],dflt:"closest",editType:"modebar"},uirevision:{valType:"any",editType:"none"},editType:"plot",_deprecated:{cameraposition:{valType:"info_array",editType:"camera"}}}},13133:function(t,e,r){"use strict";var n=r(78614),i=["xaxis","yaxis","zaxis"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},96085:function(t,e,r){"use strict";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if("auto"===c.tickmode){c.tickmode="linear";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],"date"===c.type&&(p[d].text=p[d].text.replace(/\<br\>/g," "));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(89298),i=r(71828),a=["xaxis","yaxis","zaxis"],o=[0,0,0]},63538:function(t){"use strict";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},33539:function(t,e,r){"use strict";var n,i,a=r(9330).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(40372),u=r(38520),c=r(73972),f=r(71828),h=f.preserveDrawingBuffer(),p=r(89298),d=r(30211),v=r(78614),g=r(58617),y=r(63538),m=r(30422),x=r(13133),b=r(96085),_=r(71739).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement("div"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS("http://www.w3.org/2000/svg","svg");i.style.position="absolute",i.style.top=i.style.left="0px",i.style.width=i.style.height="100%",i.style["z-index"]=20,i.style["pointer-events"]="none",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position="absolute",r.style.top=r.style.left="0px",r.style.width=r.style.height="100%",n.appendChild(r),this.fullLayout=e,this.id=t.id||"scene",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod("annotations3d","convert"),this.drawAnnotations=c.getComponentMethod("annotations3d","draw"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement("canvas"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error("error creating static canvas/context for image server");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!1;else{f.warn(["webgl setup failed possibly due to","false preserveDrawingBuffer config.","The mobile/tablet device may not be detected by is-mobile module.","Enabling preserveDrawingBuffer in second attempt to create webgl scene..."].join(" "));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r="orthographic"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:"orbit"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+".camera"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+".aspectratio"]=t.glplot.getAspectratio(),"manual"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+".aspectmode"]="manual")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit("plotly_relayout",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener("mouseup",(function(){i(t)})),t.glplot.canvas.addEventListener("touchstart",(function(){w=!0})),t.glplot.canvas.addEventListener("wheel",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener("mousemove",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit("plotly_relayouting",e)}})),t.staticMode||t.glplot.canvas.addEventListener("webglcontextlost",(function(r){e&&e.emit&&e.emit("plotly_webglcontextlost",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,"viewBox","0 0 "+s+" "+l),n.setAttributeNS(null,"width",s),n.setAttributeNS(null,"height",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)"skip"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+"axis"];return"log"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],T=h.index,k={xLabel:g("x",h.traceCoordinate[0],t.xhoverformat),yLabel:g("y",h.traceCoordinate[1],t.yhoverformat),zLabel:g("z",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(_,e.fullLayout,T),M=(A||"").split("+"),S=A&&"all"===A;_.hovertemplate||S||(-1===M.indexOf("x")&&(k.xLabel=void 0),-1===M.indexOf("y")&&(k.yLabel=void 0),-1===M.indexOf("z")&&(k.zLabel=void 0),-1===M.indexOf("text")&&(h.textLabel=void 0),-1===M.indexOf("name")&&(c.name=void 0));var E=[];"cone"===t.type||"streamtube"===t.type?(k.uLabel=g("x",h.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf("u"))&&E.push("u: "+k.uLabel),k.vLabel=g("y",h.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf("v"))&&E.push("v: "+k.vLabel),k.wLabel=g("z",h.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf("w"))&&E.push("w: "+k.wLabel),k.normLabel=h.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf("norm"))&&E.push("norm: "+k.normLabel),"streamtube"===t.type&&(k.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf("divergence"))&&E.push("divergence: "+k.divergenceLabel)),h.textLabel&&E.push(h.textLabel),x=E.join("<br>")):"isosurface"===t.type||"volume"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),E.push("value: "+k.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join("<br>")):x=h.textLabel;var L={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:T};d.appendArrayPointValue(L,_,T),t._module.eventData&&(L=_._module.eventData(L,h,_,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var P=[];d.loneHover({trace:_,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:c.name,color:d.castHoverOption(_,T,"bgcolor")||c.color,borderColor:d.castHoverOption(_,T,"bordercolor"),fontFamily:d.castHoverOption(_,T,"font.family"),fontSize:d.castHoverOption(_,T,"font.size"),fontColor:d.castHoverOption(_,T,"font.color"),nameLength:d.castHoverOption(_,T,"namelength"),textAlign:d.castHoverOption(_,T,"align"),hovertemplate:f.castOption(_,T,"hovertemplate"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r,inOut_bbox:P}),L.bbox=P[0]}h.distance<5&&(h.buttons||w)?r.emit("plotly_click",C):r.emit("plotly_hover",C),this.oldEventData=C}else d.loneUnhover(n),this.oldEventData&&r.emit("plotly_unhover",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},k.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error("Catastrophic and unrecoverable WebGL error. Context lost.")};requestAnimationFrame(e)};var M=["xaxis","yaxis","zaxis"];function S(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=M[i],o=a.charAt(0),s=n[a],l=e[o],u=e[o+"calendar"],c=e["_"+o+"length"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(c||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],c-1)}}k.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=e[n.id],f=r[n.id];n.fullLayout=e,n.fullSceneLayout=c,n.axesOptions.merge(e,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(v(c.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&S(this,i,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=M[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(e[0][i]=Math.min(e[0][i],c),e[1][i]=Math.max(e[1][i],c))}}}(this,h);var p=[1,1,1];for(s=0;s<3;++s)h[1][s]===h[0][s]?p[s]=1:p[s]=1/(h[1][s]-h[0][s]);for(n.dataScale=p,n.convertAnnotations(this),o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&((a=n.traces[i.uid])?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var d=Object.keys(n.traces);t:for(o=0;o<d.length;++o){for(s=0;s<t.length;++s)if(t[s].uid===d[o]&&!0===t[s].visible&&0!==t[s]._length)continue t;(a=n.traces[d[o]]).dispose(),delete n.traces[d[o]]}n.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,y=[[0,0,0],[0,0,0]],m=[],x={};for(o=0;o<3;++o){var b;if((u=(l=c[M[o]]).type)in x?(x[u].acc*=p[o],x[u].count+=1):x[u]={acc:p[o],count:1},l.autorange){y[0][o]=1/0,y[1][o]=-1/0;var w=n.glplot.objects,T=n.fullSceneLayout.annotations||[],k=l._name.charAt(0);for(s=0;s<w.length;s++){var A=w[s],E=A.bounds,L=A._trace.data._pad||0;"ErrorBars"===A.constructor.name&&l._lowerLogErrorBound?y[0][o]=Math.min(y[0][o],l._lowerLogErrorBound):y[0][o]=Math.min(y[0][o],E[0][o]/p[o]-L),y[1][o]=Math.max(y[1][o],E[1][o]/p[o]+L)}for(s=0;s<T.length;s++){var C=T[s];if(C.visible){var P=l.r2l(C[k]);y[0][o]=Math.min(y[0][o],P),y[1][o]=Math.max(y[1][o],P)}}if("rangemode"in l&&"tozero"===l.rangemode&&(y[0][o]=Math.min(y[0][o],0),y[1][o]=Math.max(y[1][o],0)),y[0][o]>y[1][o])y[0][o]=-1,y[1][o]=1;else{var O=y[1][o]-y[0][o];y[0][o]-=O/32,y[1][o]+=O/32}if(b=[y[0][o],y[1][o]],b=_(b,l),y[0][o]=b[0],y[1][o]=b[1],l.isReversed()){var I=y[0][o];y[0][o]=y[1][o],y[1][o]=I}}else b=l.range,y[0][o]=l.r2l(b[0]),y[1][o]=l.r2l(b[1]);y[0][o]===y[1][o]&&(y[0][o]-=1,y[1][o]+=1),m[o]=y[1][o]-y[0][o],l.range=[y[0][o],y[1][o]],l.limitRange(),n.glplot.setBounds(o,{min:l.range[0]*p[o],max:l.range[1]*p[o]})}var D=c.aspectmode;if("cube"===D)g=[1,1,1];else if("manual"===D){var 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o=e.x,s=e.y,l=n.bdPos,u=n.bPos,c=r.boxpoints||r.points;i.seedPseudoRandom();var f=t.selectAll("g.points").data(c?function(t){return t.forEach((function(t){t.t=n,t.trace=r})),t}:[]);f.enter().append("g").attr("class","points"),f.exit().remove();var h=f.selectAll("path").data((function(t){var e,n,a=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,f=.01*o,h=[],p=0;if(r.jitter){if(0===o)for(p=1,h=new Array(a.length),e=0;e<a.length;e++)h[e]=1;else for(e=0;e<a.length;e++){var d=Math.max(0,e-5),v=a[d].v,g=Math.min(a.length-1,e+5),y=a[g].v;"all"!==c&&(a[e].v<t.lf?y=Math.min(y,t.lf):v=Math.max(v,t.uf));var m=Math.sqrt(f*(g-d)/(y-v+s))||0;m=i.constrain(Math.abs(m),0,1),h.push(m),p=Math.max(m,p)}n=2*r.jitter/(p||1)}for(e=0;e<a.length;e++){var x=a[e],b=x.v,_=r.jitter?n*h[e]*(i.pseudoRandom()-.5):0,w=t.pos+u+l*(r.pointpos+_);"h"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),"suspectedoutliers"===c&&b<t.uo&&b>t.lo&&(x.so=!0)}return 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Y=_.selectAll("g.gauge-outline").data([x]);Y.enter().append("g").classed("gauge-outline",!0).append("path"),Y.select("path").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Z,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var W=I.selectAll("g.bullet").data(R?e:[]);W.exit().remove();var X=I.selectAll("g.bulletaxis").data(R?e:[]);X.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform",l(y.l,y.t)),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr("width",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr("x",(function(t){return 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0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll("rect.bandrect").on("mouseover",L).on("mouseout",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on("dragstart",P).on("drag",O).on("dragend",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){s.raiseToTop(this),w(n.select(this));var e=m(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit("plotly_hover",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none")){var i,a,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),v=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],y=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+y.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=c.mostReadable(t.model.color,["black","white"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf("count")&&S.push(["Count:",M.countLabel].join(" ")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf("probability")&&S.push(["P:",M.probabilityLabel].join(" "));var E=S.join("<br>"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:10,fontColor:T,idealAlign:L<b?"right":"left",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit("plotly_unhover",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=D(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit("plotly_click",{points:e,event:n.event,constraints:r})}}function _(t){t.attr("fill",(function(t){return t.model.color})).attr("fill-opacity",.6).attr("stroke","lightgray").attr("stroke-width",.2).attr("stroke-opacity",1)}function w(t){t.attr("fill-opacity",.8).attr("stroke",(function(t){return c.mostReadable(t.model.color,["black","white"])})).attr("stroke-width",.3)}function T(t){t.select("rect.catrect").attr("stroke","black").attr("stroke-width",1).attr("stroke-opacity",1)}function k(t){t.attr("stroke","black").attr("stroke-width",.2).attr("stroke-opacity",1).attr("fill-opacity",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll("rect.bandrect"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var u={};u[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:u})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var u={};u[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(u.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:u})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select("rect.catrect"),u=l.node().getBoundingClientRect(),c=l.datum(),f=c.parcatsViewModel,h=f.model.dimensions[c.model.dimensionInd],p=f.trace,d=u.top+u.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=u.left,a="left"):(i=u.left+u.width,a="right");var v=c.model.count,g=c.model.categoryLabel,y=v/c.parcatsViewModel.model.count,m={countLabel:v,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==c.parcatsViewModel.hoverinfoItems.indexOf("count")&&x.push(["Count:",m.countLabel].join(" ")),-1!==c.parcatsViewModel.hoverinfoItems.indexOf("probability")&&x.push(["P("+m.categoryLabel+"):",m.probabilityLabel].join(" "));var b=x.join("<br>");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:"lightgray",borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:12,fontColor:"black",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:m,eventData:[{data:p._input,fullData:p,count:v,category:g,probability:y}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,u=this;"color"===l?(function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll("rect.bandrect").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr("stroke","black").attr("stroke-width",1.5)}))}(u),S(u,"plotly_hover",n.event)):(function(t){n.select(t.parentNode).selectAll("rect.bandrect").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select("rect.catrect").attr("stroke","black").attr("stroke-width",2.5)}(u),M(u,"plotly_hover",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none")&&("category"===l?e=E(r,a,u):"color"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,v=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a="left"):(i=l.left+l.width,a="right");var g=f.model.categoryLabel,y=u.parcatsViewModel.model.count,m=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(m+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=m/y,w=m/b,T=m/x,k={countLabel:y,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf("count")&&A.push(["Count:",k.countLabel].join(" ")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf("probability")&&(A.push("P(color ∩ "+g+"): "+k.probabilityLabel),A.push("P("+g+" | color): "+w.toFixed(3)),A.push("P(color | "+g+"): "+T.toFixed(3)));var M=A.join("<br>"),S=c.mostReadable(u.color,["black","white"]);return{trace:d,x:o*(i-e.left),y:s*(v-e.top),text:M,color:u.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:_,categorycount:x,colorcount:b,bandcolorcount:m}]}}(r,a,u):"dimension"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll("g.category").select("rect.catrect").each((function(){i.push(E(t,e,this))})),i}(r,a,u)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function C(t){var e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll("g.category")),k(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf("skip"))||("color"===t.parcatsViewModel.hoveron?S(this,"plotly_unhover",n.event):M(this,"plotly_unhover",n.event))}function P(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll("rect.bandrect").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function O(t){if("fixed"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,u=a.categories,c=u[l-1],f=u[l+1];void 0!==c&&s<c.y+c.height/2&&(o.model.displayInd=c.model.displayInd,c.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||"freeform"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if("fixed"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll("text").attr("font-weight","normal");var e={},r=D(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e["dimensions["+i+"].displayindex"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var u=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),c=u.map((function(t){return t.categoryValue})),f=u.map((function(t){return t.categoryLabel}));e["dimensions["+t.model.containerInd+"].categoryarray"]=[c],e["dimensions["+t.model.containerInd+"].ticktext"]=[f],e["dimensions["+t.model.containerInd+"].categoryorder"]="array"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")&&!t.dragHasMoved&&t.potentialClickBand&&("color"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,"plotly_click",n.event.sourceEvent):M(t.potentialClickBand,"plotly_click",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease("cubic-in-out").each((function(){R(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each("end",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function 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e,r;d(t)?(e=t.width+5,r="start"):(e=-5,r="end"),n.select(this).selectAll("tspan").attr("x",e).attr("text-anchor",r)}));var a=i.selectAll("rect.bandrect").data((function(t){return t.bands}),p),o=a.enter().append("rect").attr("class","bandrect").attr("cursor","move").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);a.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,u=e.height,c=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(u*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n="all"===o.hoverinfo?["count","probability"]:(o.hoverinfo||"").split("+");var v={trace:o,key:o.uid,model:i,x:h,y:p,width:c,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(v),N(v)),v}function B(t,e,r,n,a){var o,s,l=[],u=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),u.push(o(1-a));var c="M "+t[0]+","+e[0];for(c+="l"+r[0]+",0 ",s=1;s<r.length;s++)c+="C"+l[s-1]+","+e[s-1]+" "+u[s-1]+","+e[s]+" "+t[s]+","+e[s],c+="l"+r[s]+",0 ";for(c+="l0,"+n+" ",c+="l -"+r[r.length-1]+",0 ",s=r.length-2;s>=0;s--)c+="C"+u[s]+","+(e[s+1]+n)+" "+l[s]+","+(e[s]+n)+" "+(t[s]+r[s])+","+(e[s]+n),c+="l-"+r[s]+",0 ";return c+"Z"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}u.sort((function(e,r){var n=f(e),i=f(r);return"backward"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(u.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),v=0;v<u.length;v++){var g,y=u[v];g=p>0?d*(y.count/p):0;for(var m,x=new Array(n.length),b=0;b<y.categoryInds.length;b++){var _=y.categoryInds[b],w=i[b][_],T=a[b];x[T]=n[T][w],n[T][w]+=g;var 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n=r(50693),i=r(13838),a=r(41940),o=r(27670).Y,s=r(1426).extendFlat,l=r(44467).templatedArray;t.exports={domain:o({name:"parcoords",trace:!0,editType:"plot"}),labelangle:{valType:"angle",dflt:0,editType:"plot"},labelside:{valType:"enumerated",values:["top","bottom"],dflt:"top",editType:"plot"},labelfont:a({editType:"plot"}),tickfont:a({editType:"plot"}),rangefont:a({editType:"plot"}),dimensions:l("dimension",{label:{valType:"string",editType:"plot"},tickvals:s({},i.tickvals,{editType:"plot"}),ticktext:s({},i.ticktext,{editType:"plot"}),tickformat:s({},i.tickformat,{editType:"plot"}),visible:{valType:"boolean",dflt:!0,editType:"plot"},range:{valType:"info_array",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],editType:"plot"},constraintrange:{valType:"info_array",freeLength:!0,dimensions:"1-2",items:[{valType:"any",editType:"plot"},{valType:"any",editType:"plot"}],editType:"plot"},multiselect:{valType:"boolean",dflt:!0,editType:"plot"},values:{valType:"data_array",editType:"calc"},editType:"calc"}),line:s({editType:"calc"},n("line",{colorscaleDflt:"Viridis",autoColorDflt:!1,editTypeOverride:"calc"})),unselected:{line:{color:{valType:"color",dflt:"#7f7f7f",editType:"plot"},opacity:{valType:"number",min:0,max:1,dflt:"auto",editType:"plot"},editType:"plot"},editType:"plot"}}},57920:function(t,e,r){"use 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k(t){t.on("mousemove",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on("mouseleave",(function(t){t.parent.inBrushDrag||m()})).call(i.behavior.drag().on("dragstart",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,u=o.svgBrush;if(u.wasDragged=!1,u.grabbingBar="ns"===s.region,u.grabbingBar){var c=l.map(e.unitToPaddedPx);u.grabPoint=r-c[0]-n.verticalPadding,u.barLength=c[1]-c[0]}u.clickableOrdinalRange=s.clickableOrdinalRange,u.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(u.stayingIntervals=u.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),u.startExtent=s.region?l["s"===s.region?1:0]:a,e.parent.inBrushDrag=!0,u.brushStartCallback()}(this,t)})).on("drag",(function(t){w(this,t)})).on("dragend",(function(t){!function(t,e){var 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u=t.selectAll(".highlight").data(o);u.enter().append("line").classed("highlight",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width-n.bar.strokeWidth).attr("stroke",n.bar.fillColor).attr("opacity",n.bar.fillOpacity).attr("stroke-linecap","butt"),u.attr("y1",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},71791:function(t,e,r){"use strict";t.exports={attributes:r(73362),supplyDefaults:r(3633),calc:r(24639),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcoords",basePlotModule:r(49351),categories:["gl","regl","noOpacity","noHover"],meta:{}}},49351:function(t,e,r){"use strict";var n=r(39898),i=r(27659).a0,a=r(21341),o=r(77922);e.name="parcoords",e.plot=function(t){var e=i(t.calcdata,"parcoords")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has("parcoords"),a=e._has&&e._has("parcoords");i&&!a&&(n._paperdiv.selectAll(".parcoords").remove(),n._glimages.selectAll("*").remove())},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(".svg-container");r.filter((function(t,e){return e===r.size()-1})).selectAll(".gl-canvas-context, .gl-canvas-focus").each((function(){var t=this,r=t.toDataURL("image/png");e.append("svg:image").attr({xmlns:o.svg,"xlink:href":r,preserveAspectRatio:"none",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll("#filterBarPattern").attr("id","filterBarPattern")}),60)}},24639:function(t,e,r){"use strict";var n=r(71828).isArrayOrTypedArray,i=r(21081),a=r(28984).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,"line")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:"line",cLetter:"c"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},25706:function(t){"use 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n=r(71828),i=r(52075).hasColorscale,a=r(1586),o=r(27670).c,s=r(85501),l=r(89298),u=r(73362),c=r(57920),f=r(25706).maxDimensionCount,h=r(94397);function p(t,e,r,i){function a(r,i){return n.coerce(t,e,u.dimensions,r,i)}var o=a("values"),s=a("visible");if(o&&o.length||(s=e.visible=!1),s){a("label"),a("tickvals"),a("ticktext"),a("tickformat");var f=a("range");e._ax={_id:"y",type:"linear",showexponent:"all",exponentformat:"B",range:f},l.setConvert(e._ax,i.layout),a("multiselect");var h=a("constraintrange");h&&(e.constraintrange=c.cleanRanges(h,e))}}t.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,u,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log("parcoords traces support up to "+f+" dimensions at the moment"),d.splice(f));var v=s(t,e,{name:"dimensions",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s("line.color",r);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return 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p33_36, p37_40, p41_44, p45_48,\n               p49_52, p53_56, p57_60, colors;\n\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\n\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\nuniform float maskHeight;\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\nuniform vec4 contextColor;\nuniform sampler2D maskTexture, palette;\n\nbool isPick    = (drwLayer > 1.5);\nbool isContext = (drwLayer < 0.5);\n\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\n\nfloat val(mat4 p, mat4 v) {\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\n}\n\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\n    return y1 * (1.0 - ratio) + y2 * ratio;\n}\n\nint iMod(int a, int b) {\n    return a - b * (a / b);\n}\n\nbool fOutside(float p, float lo, float hi) {\n    return (lo < hi) && (lo > p || p > hi);\n}\n\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\n    return (\n        fOutside(p[0], lo[0], hi[0]) ||\n        fOutside(p[1], lo[1], hi[1]) ||\n        fOutside(p[2], lo[2], hi[2]) ||\n        fOutside(p[3], lo[3], hi[3])\n    );\n}\n\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\n    return (\n        vOutside(p[0], lo[0], hi[0]) ||\n        vOutside(p[1], lo[1], hi[1]) ||\n        vOutside(p[2], lo[2], hi[2]) ||\n        vOutside(p[3], lo[3], hi[3])\n    );\n}\n\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\n    return mOutside(A, loA, hiA) ||\n           mOutside(B, loB, hiB) ||\n           mOutside(C, loC, hiC) ||\n           mOutside(D, loD, hiD);\n}\n\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\n    mat4 pnts[4];\n    pnts[0] = A;\n    pnts[1] = B;\n    pnts[2] = C;\n    pnts[3] = D;\n\n    for(int i = 0; i < 4; ++i) {\n        for(int j = 0; j < 4; ++j) {\n            for(int k = 0; k < 4; ++k) {\n                if(0 == iMod(\n                    int(255.0 * texture2D(maskTexture,\n                        vec2(\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\n                        ))[3]\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\n                    2\n                )) return true;\n            }\n        }\n    }\n    return false;\n}\n\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\n    float x = 0.5 * sign(v) + 0.5;\n    float y = axisY(x, A, B, C, D);\n    float z = 1.0 - abs(v);\n\n    z += isContext ? 0.0 : 2.0 * float(\n        outsideBoundingBox(A, B, C, D) ||\n        outsideRasterMask(A, B, C, D)\n    );\n\n    return vec4(\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\n        z,\n        1.0\n    );\n}\n\nvoid main() {\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\n\n    float v = colors[3];\n\n    gl_Position = position(isContext, v, A, B, C, D);\n\n    fragColor =\n        isContext ? vec4(contextColor) :\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\n}\n"]),a=n(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n    gl_FragColor = fragColor;\n}\n"]),o=r(25706).maxDimensionCount,s=r(71828),l=1e-6,u=new Uint8Array(4),c=new Uint8Array(4),f={shape:[256,1],format:"rgba",type:"uint8",mag:"nearest",min:"nearest"};function h(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function p(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:u})}(t),r.drawCompleted=!0),function s(l){var 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y=t.lines.canvasOverdrag*d,m=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color,M=t.deselectedLines.opacity;return s.extendFlat({key:f,resolution:[x,b],viewBoxPos:[o+y,l],viewBoxSize:[u,c],i0:i,i1:a,dim0A:v[0].slice(0,16),dim0B:v[0].slice(16,32),dim0C:v[0].slice(32,48),dim0D:v[0].slice(48,64),dim1A:v[1].slice(0,16),dim1B:v[1].slice(16,32),dim1C:v[1].slice(32,48),dim1D:v[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,"auto"!==M?A[3]*M:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+y)+(_-y)+k*m.x[0],scissorWidth:(n===r?x-o+y:u+.5)+(n===e?o+y:0),scissorY:l+w+T*m.y[0],scissorHeight:c,viewportX:_-y+k*m.x[0],viewportY:w+T*m.y[0],viewportWidth:x,viewportHeight:b},p)}function b(t){var e=2047,r=Math.max(0,Math.floor(t[0]*e),0),n=Math.min(e,Math.ceil(t[1]*e),e);return[Math.min(r,n),Math.max(r,n)]}t.exports=function(t,e){var r,n,u,y,_,w=e.context,T=e.pick,k=e.regl,A=k._gl,M=A.getParameter(A.ALIASED_LINE_WIDTH_RANGE),S=Math.max(M[0],Math.min(M[1],e.viewModel.plotGlPixelRatio)),E={currentRafs:{},drawCompleted:!0,clearOnly:!1},L=function(t){for(var e={},r=0;r<=o;r+=4)e[m(r)]=t.buffer({usage:"dynamic",type:"float",data:new Uint8Array(0)});return e}(k),C=k.texture(f),P=[];I(e);var O=k({profile:!1,blend:{enable:w,func:{srcRGB:"src alpha",dstRGB:"one minus src 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I(t){r=t.model,n=t.viewModel,u=n.dimensions.slice(),y=u[0]?u[0].values.length:0;var e=r.lines,i=T?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var u=0;u<o;u++)i[a++]=u<e.length?e[u].paddedUnitValues[s]:.5;i[a++]=v(s,2),i[a++]=v(s,1),i[a++]=v(s,0),i[a++]=(n=r[s],Math.max(l,Math.min(.999999,n)))}return i}(y,u,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[m(n)](g(n/4,e,r))}(L,y,a),w||T||(C=k.texture(s.extendFlat({data:d(r.unitToColor,255)},f)))}return{render:function(t,e,n){var i,a,o,s=t.length,l=1/0,c=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<l&&(l=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>c&&(c=t[i].dim1.canvasX,o=i);0===s&&h(k,0,0,r.canvasWidth,r.canvasHeight);var f=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<u.length?u[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<u.length;e++){var s=e%8,l=(e-s)/8,c=Math.pow(2,s),f=u[e].brush.filter.get();if(!(f.length<2)){var h=b(f[0])[1];for(r=1;r<f.length;r++){var p=b(f[r]);for(n=h+1;n<p[0];n++)o[8*n+l]&=~c;h=Math.max(h,p[1])}}}var d={shape:[8,2048],format:"alpha",type:"uint8",mag:"nearest",min:"nearest",data:o};return _?_(d):_=k.texture(d),{maskTexture:_,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(w);for(i=0;i<s;i++){var d=t[i],v=d.dim0.crossfilterDimensionIndex,g=d.dim1.crossfilterDimensionIndex,m=d.canvasX,A=d.canvasY,M=m+d.panelSizeX,S=d.plotGlPixelRatio;if(e||!P[v]||P[v][0]!==m||P[v][1]!==M){P[v]=[m,M];var L=x(r,a,o,i,v,g,m,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,w?0:T?2:1,f,S);E.clearOnly=n;var C=e?r.lines.blockLineCount:y;p(k,O,E,C,y,L)}}},readPixel:function(t,e){return k.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,r,n){var i=new 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A(t,e,r,i,o){var s,l,u=T(r);return i?n.scale.ordinal().domain(i.map((s=a(r.tickformat),l=o,l?function(t,e){var r=l[e];return null==r?s(t):r}:s))).range(i.map((function(r){var n=(r-u[0])/(u[1]-u[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(u).range([t-e,e])}function M(t){if(t.tickvals){var e=T(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function S(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=o(t[1]);return n.rgb("rgb("+e[0]+","+e[1]+","+e[2]+")")})),i="rgb".split("").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i}));return function(t){return i.map((function(e){return e(t)}))}}function E(t){return t.dimensions.some((function(t){return t.brush.filterSpecified}))}function L(t,e,r){var 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t.map(n).sort(i.sorterAsc)})).sort((function(t,e){return t[0]-e[0]}));e.filterChanged(p.key,o._index,a)}}))}})),p}function P(t){t.classed(m.cn.axisExtentText,!0).attr("text-anchor","middle").style("cursor","default")}function O(t,e){var r="top"===e?1:-1,n=t*Math.PI/180;return{dir:r,dx:Math.sin(n),dy:Math.cos(n),degrees:t}}function I(t,e,r){for(var n=e.panels||(e.panels=[]),i=t.data(),a=0;a<i.length-1;a++){var o=n[a]||(n[a]={}),s=i[a],l=i[a+1];o.dim0=s,o.dim1=l,o.canvasX=s.canvasX,o.panelSizeX=l.canvasX-s.canvasX,o.panelSizeY=e.model.canvasHeight,o.y=0,o.canvasY=0,o.plotGlPixelRatio=r}}function D(t,e){return s.tickText(t._ax,e,!1).text}function z(t,e){if(t.ordinal)return"";var r=t.domainScale.domain(),n=r[e?r.length-1:0];return D(t.model.dimensions[t.visibleIndex],n)}t.exports=function(t,e,r,a){var o=t._context.staticPlot,h=t._fullLayout,p=h._toppaper,_=h._glcontainer,T=t._context.plotGlPixelRatio,A=t._fullLayout.paper_bgcolor;!function(t){for(var e=0;e<t.length;e++)for(var r=0;r<t[e].length;r++)for(var n=t[e][r].trace,i=n.dimensions,a=0;a<i.length;a++){var o=i[a].values,l=i[a]._ax;l&&(l.range?l.range=k(l.range[0],l.range[1]):l.range=w(o,n._length),l.dtick||(l.dtick=.01*(Math.abs(l.range[1]-l.range[0])||1)),l.tickformat=i[a].tickformat,s.calcTicks(l),l.cleanRange())}}(e);var M,S,R=(M=!0,S=!1,{linePickActive:function(t){return arguments.length?M=!!t:M},contextShown:function(t){return arguments.length?S=!!t:S}}),F=e.filter((function(t){return g(t).trace.visible})).map(L.bind(0,r)).map(C.bind(0,R,a));_.each((function(t,e){return i.extendFlat(t,F[e])}));var B=_.selectAll(".gl-canvas").each((function(t){t.viewModel=F[0],t.viewModel.plotGlPixelRatio=T,t.viewModel.paperColor=A,t.model=t.viewModel?t.viewModel.model:null})),N=null;B.filter((function(t){return t.pick})).style("pointer-events",o?"none":"auto").on("mousemove",(function(t){if(R.linePickActive()&&t.lineLayer&&a&&a.hover){var 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J=Y.selectAll("."+m.cn.axisExtentBottom).data(v,d);J.enter().append("g").classed(m.cn.axisExtentBottom,!0),J.attr("transform",(function(t){return u(0,t.model.height+m.axisExtentOffset)}));var K=J.selectAll("."+m.cn.axisExtentBottomText).data(v,d);K.enter().append("text").classed(m.cn.axisExtentBottomText,!0).attr("dy","0.75em").call(P),K.text((function(t){return z(t,!1)})).each((function(t){f.font(n.select(this),t.model.rangeFont)})),x.ensureAxisBrush(H,A,t)}},21341:function(t,e,r){"use strict";var n=r(17171),i=r(79749),a=r(1602).isVisible,o={};function s(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}(t.exports=function(t,e){var r=t._fullLayout;if(i(t,[],o)){var l={},u={},c={},f={},h=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,u[r]=t.data[i].dimensions.slice()})),n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var 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n=r(92770),i=r(84267),a=r(7901),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o["_"+e.type+"colormap"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&""!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=m),a.push({v:m,label:x,color:v(c[r],x),i:r,pts:[r],hidden:b})):(y=!0,(i=a[_]).v+=m,i.pts.push(r),i.hidden||(g+=m),!1===i.color&&c[r]&&(i.color=v(c[r],x)))}return a=a.filter((function(t){return t.v>=0})),("funnelarea"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r="pie");var n=t._fullLayout,i=t.calcdata,a=n[r+"colorway"],s=n["_"+r+"colormap"];n["extend"+r+"colors"]&&(a=l(a,o));for(var u=0,c=0;c<i.length;c++){var f=i[c];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[u%a.length],u++))}}},makePullColorFn:s,generateExtendedColors:l}},37434:function(t,e,r){"use strict";var n=r(92770),i=r(71828),a=r(34e3),o=r(27670).c,s=r(90769).handleText,l=r(71828).coercePattern;function u(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n("marker.line.width")&&n("marker.line.color",i?void 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n=r(91424),i=r(7901);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},53581:function(t,e,r){"use strict";var n=r(71828);function i(t){return-1!==t.indexOf("e")?t.replace(/[.]?0+e/,"e"):-1!==t.indexOf(".")?t.replace(/[.]?0+$/,""):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+"%"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||""===n)return n}},e.castOption=function(t,r){return Array.isArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return("auto"===t?0:t)*Math.PI/180}},58810:function(t,e,r){"use 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n=r(39898),i=r(74875),a=r(30211),o=r(7901),s=r(91424),l=r(71828),u=l.strScale,c=l.strTranslate,f=r(63893),h=r(72597),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(97313).TEXTPAD,g=r(53581),y=r(20007),m=r(71828).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c="funnelarea"===u.type;"_hasHoverLabel"in u||(u._hasHoverLabel=!1),"_hasHoverEvent"in u||(u._hasHoverEvent=!1),t.on("mouseover",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._module},r,0)),"all"===h&&(h="label+text+value+percent+name"),f.hovertemplate||"none"!==h&&"skip"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf("label")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf("text")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf("value")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf("percent")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join("<br>"),name:f.hovertemplate||-1!==h.indexOf("name")?f.name:void 0,idealAlign:t.pxmid[0]<0?"left":"right",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit("plotly_hover",{points:[y(t,f)],event:n.event})}})),t.on("mouseout",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit("plotly_unhover",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on("click",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append("text").attr("data-notex",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,u=e.midangle,c=r.trace.insidetextorientation,f="horizontal"===c,h="tangential"===c,p="radial"===c,d="auto"===c,v=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),u=s<l?s:l;(a="tan"===i?k(t,n,o,u,0):T(t,n,o,u,Math.PI/2)).textPosAngle=r,v.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)y(Math.PI*g,"tan");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),"tan")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),"rad");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),"rad")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var 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r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?c*=2:-1!==a.title.position.indexOf("right")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&"middle center"!==a.title.position&&(l-=P(i,e));var u=s/2,c=l/2;"funnelarea"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf("bottom")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if("pie"===i.type)l=r.r*r.r;else if("funnelarea"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;"funnelarea"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function 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r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d("pie",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,"trace").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u="px0",c="px1";if("counterclockwise"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u="px1",c="px0"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr("stroke-linejoin","round"),d.each((function(){var m=n.select(this).selectAll("g.slice").data(e);m.enter().append("g").classed("slice",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll("path,g").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll("path.surface").data([i]);if(d.enter().append("path").classed("surface",!0).style({"pointer-events":r?"none":"all"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A="M"+(u+i.px0[0])+","+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+"Z";k?d.attr("d","M"+(u+k*i.px0[0])+","+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+"Z"+A):d.attr("d",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr("d","M"+(u+k*i.px1[0])+","+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+"l"+S*i.px0[0]+","+S*i.px0[1]+M+"Z")}else d.attr("d","M"+u+","+c+"l"+i.px0[0]+","+i.px0[1]+M+"Z")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll("g.slicetext").data(i.text&&"none"!==E?[0]:[]);C.enter().append("g").classed("slicetext",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),h=l.ensureUniformFontSize(t,"outside"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if("outside"===E)d=L(m,i);else if(d=w(m,i,v),"auto"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return"a"+n*v.r+","+n*v.r+" 0 "+i.largeArc+(r?" 1 ":" 0 ")+a+","+o}}));var k=n.select(this).selectAll("g.titletext").data(y.title.text?[0]:[]);if(k.enter().append("g").classed("titletext",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:"titletext",transform:"","text-anchor":"middle"}).call(s.font,y.title.font).call(f.convertToTspans,t),e="middle center"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr("transform",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,l,u,c,f,h,p,d;function v(t,e){return t.pxmid[1]-e.pxmid[1]}function y(t,e){return e.pxmid[1]-t.pxmid[1]}function m(t,r){r||(r={});var i,u,c,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,v=n?t.yLabelMax:t.yLabelMin,y=t.cyFinal+o(t.px0[1],t.px1[1]),m=p-d;if(m*l>0&&(t.labelExtraY=m),Array.isArray(e.pull))for(u=0;u<f.length;u++)(c=f[u])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,c.pts)||0)||((t.pxmid[1]-c.pxmid[1])*l>0?(m=c.cyFinal+o(c.px0[1],c.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=m):(v+t.labelExtraY-y)*l>0&&(i=3*s*Math.abs(u-f.indexOf(t)),(h=c.cxFinal+a(c.px0[0],c.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?v:y,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(u=t[n][r]).sort(i),c=t[1-n][r],f=c.concat(u),p=[],h=0;h<u.length;h++)void 0!==u[h].yLabelMid&&p.push(u[h]);for(d=!1,h=0;n&&h<c.length;h++)if(void 0!==c[h].yLabelMid){d=c[h];break}for(h=0;h<p.length;h++){var x=h&&p[h-1];d&&!h&&(x=d),m(p[h],x)}}}(_,y),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select("g.slicetext text");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s="M"+a+","+(t.cyFinal+t.pxmid[1]),u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var c=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(c)>Math.abs(f)?s+="l"+f*t.pxmid[0]/t.pxmid[1]+","+f+"H"+(a+t.labelExtraX+u):s+="l"+t.labelExtraX+","+c+"v"+(f-c)+"h"+u}else s+="V"+(t.yLabelMid+t.labelExtraY)+"h"+u;l.ensureSingle(r,"path","textline").call(o.stroke,e.outsidetextfont.color).attr({"stroke-width":Math.min(2,e.outsidetextfont.size/8),d:s,fill:"none"})}else r.select("path.textline").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-v.r)/h.w,O=(.5*E-v.r)/h.h;i.autoMargin(t,"pie."+y.uid+".automargin",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-O,yt:M.y[1]+O,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll("tspan").each((function(){var t=n.select(this);t.attr("dy")&&t.attr("dy",t.attr("dy"))}))}),0)},formatSliceLabel:z,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},68357:function(t,e,r){"use strict";var n=r(39898),i=r(63463),a=r(72597).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(".trace");a(t,e,"pie"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll("path.surface").each((function(e){n.select(this).call(i,e,r,t)}))}))}},63463:function(t,e,r){"use 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a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(m,r,i),s.click(t,{target:!0})}}})}},3393:function(t,e,r){"use strict";var n=r(49887),i=r(81684).k4,a=r(39898),o=r(30838),s=r(86781),l=r(85247),u=r(84267),c=r(7901),f=r(91424),h=r(71828),p=h.strTranslate,d=h.strRotate,v=r(28984),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(63893),b=r(73972),_=r(18783),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=m(e),a=i.trace,c=a.domain,f="h"===a.orientation,p=a.node.pad,d=a.node.thickness,v=t.width*(c.x[1]-c.x[0]),g=t.height*(c.y[1]-c.y[0]),y=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[v,g]:[g,v]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(y).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn("node.pad was reduced to ",n.nodePadding()," to fit within the figure."),i._groupLookup){var 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return"top"===t.circularLinkType?"M "+(n.targetX-e)+" "+(n.targetY+r)+" L"+(n.rightInnerExtent-e)+" "+(n.targetY+r)+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightSmallArcRadius+r)+" 0 0 1 "+(n.rightFullExtent-r-e)+" "+(n.targetY-n.rightSmallArcRadius)+"L"+(n.rightFullExtent-r-e)+" "+n.verticalRightInnerExtent+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightLargeArcRadius+r)+" 0 0 1 "+(n.rightInnerExtent-e)+" "+(n.verticalFullExtent-r)+"L"+n.leftInnerExtent+" 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n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p="M"+n+","+u,d="C"+s+","+u+" "+l+","+f+" "+a+","+f,v="C"+l+","+h+" "+s+","+c+" "+n+","+c,g=e>0?"L"+(a+e)+","+(f+t.link.width/2):"";return p+d+(g+="L"+a+","+h)+v+"Z"}}function S(t,e){var r=u(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s="node_"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:c.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join("_"),interactionState:t.interactionState,figure:t}}function E(t){t.attr("transform",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function C(t,e){t.call(L),e.attr("d",M())}function P(t){t.attr("width",(function(t){return t.node.x1-t.node.x0})).attr("height",(function(t){return t.visibleHeight}))}function O(t){return t.link.width>1||t.linkLineWidth>0}function I(t){return p(t.translateX,t.translateY)+(t.horizontal?"matrix(1 0 0 1 0 0)":"matrix(0 1 1 0 0 0)")}function D(t,e,r){t.on(".basic",null).on("mouseover.basic",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on("mousemove.basic",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on("mouseout.basic",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on("click.basic",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function z(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on("dragstart",(function(a){if("fixed"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,"g","dragcover",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),"snap"===a.arrangement)){var o=a.traceId+"|"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force("collide",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force("constrain",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var 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n=r(52075).hasColorscale,i=r(78803),a=r(34098);t.exports=function(t,e){a.hasLines(e)&&n(e,"line")&&i(t,e,{vals:e.line.color,containerStr:"line",cLetter:"c"}),a.hasMarkers(e)&&(n(e,"marker")&&i(t,e,{vals:e.marker.color,containerStr:"marker",cLetter:"c"}),n(e,"marker.line")&&i(t,e,{vals:e.marker.line.color,containerStr:"marker.line",cLetter:"c"}))}},47581:function(t){"use strict";t.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},72626:function(t,e,r){"use strict";var n=r(47761),i=r(11661).setGroupPositions;function a(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete t[1].trace)}t.exports=function(t,e){"group"===t._fullLayout.scattermode&&function(t,e){for(var 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n=r(5386).fF,i=r(5386).si,a=r(82196),o=r(9012),s=r(50693),l=r(79952).P,u=r(1426).extendFlat,c=r(30962).overrideAll,f=a.marker,h=a.line,p=f.line;t.exports=c({lon:{valType:"data_array"},lat:{valType:"data_array"},locations:{valType:"data_array"},locationmode:{valType:"enumerated",values:["ISO-3","USA-states","country 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n;if(f.hasText(e)&&(n.text=m(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(0,e),n.markerSel=b(0,e,e.selected),n.markerUnsel=b(0,e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=v*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&"none"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var 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r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,u=r.selectBatch,c=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(c[f].length){var h=n.repeat([],r.count);h[f]=c[f],o.draw(h)}else 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v=n.hasText(l),g=n.hasMarkers(l),y=!g&&!v;if(!0!==l.visible||y)return s;var m=[],x=[];if(!1!==e&&!e.degenerate)for(var b=0;b<c;b++)e.contains([u.xpx[b],u.ypx[b]],!1,b,t)?(m.push(b),s.push({pointNumber:b,x:a.c2d(f[b]),y:o.c2d(h[b])})):x.push(b);if(g){var _=p.scatter2d;if(m.length||x.length){if(!p.selectBatch[d].length&&!p.unselectBatch[d].length){var w=new Array(p.count);w[d]=p.markerUnselectedOptions[d],_.update.apply(_,w)}}else{var T=new Array(p.count);T[d]=p.markerOptions[d],_.update.apply(_,T)}}return p.selectBatch[d]=m,p.unselectBatch[d]=x,v&&i(r),s}},99181:function(t,e,r){"use strict";var n=r(5386).fF,i=r(5386).si,a=r(19316),o=r(82196),s=r(23585),l=r(9012),u=r(50693),c=r(1426).extendFlat,f=r(30962).overrideAll,h=r(23585),p=a.line,d=a.marker;t.exports=f({lon:a.lon,lat:a.lat,cluster:{enabled:{valType:"boolean"},maxzoom:c({},h.layers.maxzoom,{}),step:{valType:"number",arrayOk:!0,dflt:-1,min:-1},size:{valType:"number",arrayOk:!0,dflt:20,min:0},color:{valType:"color",arrayOk:!0},opacity:c({},d.opacity,{dflt:1})},mode:c({},o.mode,{dflt:"markers"}),text:c({},o.text,{}),texttemplate:i({editType:"plot"},{keys:["lat","lon","text"]}),hovertext:c({},o.hovertext,{}),line:{color:p.color,width:p.width},connectgaps:o.connectgaps,marker:c({symbol:{valType:"string",dflt:"circle",arrayOk:!0},angle:{valType:"number",dflt:"auto",arrayOk:!0},allowoverlap:{valType:"boolean",dflt:!1},opacity:d.opacity,size:d.size,sizeref:d.sizeref,sizemin:d.sizemin,sizemode:d.sizemode},u("marker")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:"string"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:c({},l.hoverinfo,{flags:["lon","lat","text","name"]}),hovertemplate:n()},"calc","nested")},15790:function(t,e,r){"use 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n=r(71828),i=n.pushUnique,a=r(34098),o=r(35948);t.exports=function(t,e){var r=t.cd,s=r[0].trace,l=r[0].t,u=t.scene,c=u.matrixOptions.cdata,f=t.xaxis,h=t.yaxis,p=[];if(!u)return p;var d=!a.hasMarkers(s)&&!a.hasText(s);if(!0!==s.visible||d)return p;var v=o.getDimIndex(s,f),g=o.getDimIndex(s,h);if(!1===v||!1===g)return p;var y=l.xpx[v],m=l.ypx[g],x=c[v],b=c[g],_=(t.scene.selectBatch||[]).slice(),w=[];if(!1!==e&&!e.degenerate)for(var T=0;T<x.length;T++)e.contains([y[T],m[T]],null,T,t)?(p.push({pointNumber:T,x:x[T],y:b[T]}),i(_,T)):-1!==_.indexOf(T)?i(_,T):w.push(T);var k=u.matrixOptions;return _.length||w.length?u.selectBatch.length||u.unselectBatch.length||u.matrix.update(u.unselectedOptions,n.extendFlat({},k,u.selectedOptions,u.viewOpts)):u.matrix.update(k,null),u.selectBatch=_,u.unselectBatch=w,p}},21850:function(t,e,r){"use strict";var n=r(50693),i=r(12663).axisHoverFormat,a=r(5386).fF,o=r(2418),s=r(9012),l=r(1426).extendFlat,u={x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},u:{valType:"data_array",editType:"calc"},v:{valType:"data_array",editType:"calc"},w:{valType:"data_array",editType:"calc"},starts:{x:{valType:"data_array",editType:"calc"},y:{valType:"data_array",editType:"calc"},z:{valType:"data_array",editType:"calc"},editType:"calc"},maxdisplayed:{valType:"integer",min:0,dflt:1e3,editType:"calc"},sizeref:{valType:"number",editType:"calc",min:0,dflt:1},text:{valType:"string",dflt:"",editType:"calc"},hovertext:{valType:"string",dflt:"",editType:"calc"},hovertemplate:a({editType:"calc"},{keys:["tubex","tubey","tubez","tubeu","tubev","tubew","norm","divergence"]}),uhoverformat:i("u",1),vhoverformat:i("v",1),whoverformat:i("w",1),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n("",{colorAttr:"u/v/w 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L=function(){m=0,M=[],S=[],E=[]};(!m||m<M.length*S.length*E.length)&&L();var C=function(t){return"x"===t?v:"y"===t?g:y},P=function(t){return"x"===t?M:"y"===t?S:E},O=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),D=C(A[3]),z=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=O(C(A[1])),V=O(C(A[3])),H=O(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var q=j(e,r,i),G=j(e,r,i+1),Z=j(e,r+1,i),Y=j(e+1,r,i);if(I[q]*U<I[G]*U&&D[q]*V<D[Z]*V&&z[q]*H<z[Y]*H||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn("Encountered arbitrary coordinates! 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y=n[c];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var m=o[c];r.yMax=Math.max(r.yMax,m),r.yMin=Math.min(r.yMin,m);var x=l[c];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=u,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},90154:function(t,e,r){"use strict";var n=r(9330).gl_streamtube3d,i=n.createTubeMesh,a=r(71828),o=r(81697).parseColorScale,s=r(21081).extractOpts,l=r(90060),u={xaxis:0,yaxis:1,zaxis:2};function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=c.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c=e._len,f={};function d(t,e){var n=r[e],o=i[u[e]];return a.simpleMap(t,(function(t){return n.d2l(t)*o}))}if(f.vectors=l(d(e._u,"xaxis"),d(e._v,"yaxis"),d(e._w,"zaxis"),c),!c)return{positions:[],cells:[]};var v=d(e._Xs,"xaxis"),g=d(e._Ys,"yaxis"),y=d(e._Zs,"zaxis");if(f.meshgrid=[v,g,y],f.gridFill=e._gridFill,e._slen)f.startingPositions=l(d(e._startsX,"xaxis"),d(e._startsY,"yaxis"),d(e._startsZ,"zaxis"));else{for(var m=g[0],x=h(v),b=h(y),_=new Array(x.length*b.length),w=0,T=0;T<x.length;T++)for(var k=0;k<b.length;k++)_[w++]=[x[T],m,b[k]];f.startingPositions=_}f.colormap=o(e),f.tubeSize=e.sizeref,f.maxLength=e.maxdisplayed;var A=d(e._xbnds,"xaxis"),M=d(e._ybnds,"yaxis"),S=d(e._zbnds,"zaxis"),E=p(v),L=p(g),C=p(y),P=[[A[0]-E[0],M[0]-L[0],S[0]-C[0]],[A[1]+E[1],M[1]+L[1],S[1]+C[1]]],O=n(f,P),I=s(e);O.vertexIntensityBounds=[I.min/e._normMax,I.max/e._normMax];var D=e.lightposition;return O.lightPosition=[D.x,D.y,D.z],O.ambient=e.lighting.ambient,O.diffuse=e.lighting.diffuse,O.specular=e.lighting.specular,O.roughness=e.lighting.roughness,O.fresnel=e.lighting.fresnel,O.opacity=e.opacity,e._pad=O.tubeScale*e.sizeref*2,O}f.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[u[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],"xaxis"),n(i[1],"yaxis"),n(i[2],"zaxis"),n(a[0],"xaxis"),n(a[1],"yaxis"),n(a[2],"zaxis"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},f.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new c(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},22459:function(t,e,r){"use strict";var n=r(71828),i=r(1586),a=r(21850);t.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s("u"),u=s("v"),c=s("w"),f=s("x"),h=s("y"),p=s("z");l&&l.length&&u&&u.length&&c&&c.length&&f&&f.length&&h&&h.length&&p&&p.length?(s("starts.x"),s("starts.y"),s("starts.z"),s("maxdisplayed"),s("sizeref"),s("lighting.ambient"),s("lighting.diffuse"),s("lighting.specular"),s("lighting.roughness"),s("lighting.fresnel"),s("lightposition.x"),s("lightposition.y"),s("lightposition.z"),i(t,e,o,s,{prefix:"",cLetter:"c"}),s("text"),s("hovertext"),s("hovertemplate"),s("uhoverformat"),s("vhoverformat"),s("whoverformat"),s("xhoverformat"),s("yhoverformat"),s("zhoverformat"),e._length=null):e.visible=!1}},61510:function(t,e,r){"use strict";t.exports={moduleType:"trace",name:"streamtube",basePlotModule:r(58547),categories:["gl3d","showLegend"],attributes:r(21850),supplyDefaults:r(22459),colorbar:{min:"cmin",max:"cmax"},calc:r(88489).calc,plot:r(90154),eventData:function(t,e){return t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},57564:function(t,e,r){"use strict";var n=r(9012),i=r(5386).fF,a=r(5386).si,o=r(50693),s=r(27670).Y,l=r(34e3),u=r(7055),c=r(1426).extendFlat,f=r(79952).u;t.exports={labels:{valType:"data_array",editType:"calc"},parents:{valType:"data_array",editType:"calc"},values:{valType:"data_array",editType:"calc"},branchvalues:{valType:"enumerated",values:["remainder","total"],dflt:"remainder",editType:"calc"},count:{valType:"flaglist",flags:["branches","leaves"],dflt:"leaves",editType:"calc"},level:{valType:"any",editType:"plot",anim:!0},maxdepth:{valType:"integer",editType:"plot",dflt:-1},marker:c({colors:{valType:"data_array",editType:"calc"},line:{color:c({},l.marker.line.color,{dflt:null}),width:c({},l.marker.line.width,{dflt:1}),editType:"calc"},pattern:f,editType:"calc"},o("marker",{colorAttr:"colors",anim:!1})),leaf:{opacity:{valType:"number",editType:"style",min:0,max:1},editType:"plot"},text:l.text,textinfo:{valType:"flaglist",flags:["label","text","value","current path","percent root","percent entry","percent 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n=r(674),i=r(92770),a=r(71828),o=r(21081).makeColorScaleFuncFromTrace,s=r(32354).makePullColorFn,l=r(32354).generateExtendedColors,u=r(21081).calc,c=r(50606).ALMOST_EQUAL,f={},h={},p={};function d(t,e,r){var n=0,i=t.children;if(i){for(var a=i.length,o=0;o<a;o++)n+=d(i[o],e,r);r.branches&&n++}else r.leaves&&n++;return t.value=t.data.data.value=n,e._values||(e._values=[]),e._values[t.data.data.i]=n,n}e.calc=function(t,e){var r,l,f,h,p,v,g=t._fullLayout,y=e.ids,m=a.isArrayOrTypedArray(y),x=e.labels,b=e.parents,_=e.values,w=a.isArrayOrTypedArray(_),T=[],k={},A={},M=function(t){return t||"number"==typeof t},S=function(t){return!w||i(_[t])&&_[t]>=0};m?(r=Math.min(y.length,b.length),l=function(t){return M(y[t])&&S(t)},f=function(t){return String(y[t])}):(r=Math.min(x.length,b.length),l=function(t){return M(x[t])&&S(t)},f=function(t){return String(x[t])}),w&&(r=Math.min(r,_.length));for(var E=0;E<r;E++)if(l(E)){var L=f(E),C=M(b[E])?String(b[E]):"",P={i:E,id:L,pid:C,label:M(x[E])?String(x[E]):""};w&&(P.v=+_[E]),T.push(P),p=L,k[h=C]?k[h].push(p):k[h]=[p],A[p]=1}if(k[""]){if(k[""].length>1){for(var O=a.randstr(),I=0;I<T.length;I++)""===T[I].pid&&(T[I].pid=O);T.unshift({hasMultipleRoots:!0,id:O,pid:"",label:""})}}else{var D,z=[];for(D in k)A[D]||z.push(D);if(1!==z.length)return a.warn(["Multiple implied roots, cannot build",e.type,"hierarchy of",e.name+".","These roots include:",z.join(", ")].join(" "));D=z[0],T.unshift({hasImpliedRoot:!0,id:D,pid:"",label:D})}try{v=n.stratify().id((function(t){return t.id})).parentId((function(t){return t.pid}))(T)}catch(t){return a.warn(["Failed to build",e.type,"hierarchy of",e.name+".","Error:",t.message].join(" "))}var R=n.hierarchy(v),F=!1;if(w)switch(e.branchvalues){case"remainder":R.sum((function(t){return t.data.v}));break;case"total":R.each((function(t){var r=t.data.data,n=r.v;if(t.children){var i=t.children.reduce((function(t,e){return t+e.data.data.v}),0);if((r.hasImpliedRoot||r.hasMultipleRoots)&&(n=i),n<i*c)return F=!0,a.warn(["Total value for node",t.data.data.id,"of",e.name,"is smaller than the sum of its children.","\nparent value =",n,"\nchildren sum =",i].join(" "))}t.value=n}))}else d(R,e,{branches:-1!==e.count.indexOf("branches"),leaves:-1!==e.count.indexOf("leaves")});if(!F){var B,N;e.sort&&R.sort((function(t,e){return e.value-t.value}));var j=e.marker.colors||[],U=!!j.length;return e._hasColorscale?(U||(j=w?e.values:e._values),u(t,e,{vals:j,containerStr:"marker",cLetter:"c"}),N=o(e.marker)):B=s(g["_"+e.type+"colormap"]),R.each((function(t){var r=t.data.data;r.color=e._hasColorscale?N(j[r.i]):B(j[r.i],r.id)})),T[0].hierarchy=R,T}},e._runCrossTraceCalc=function(t,e){var r=e._fullLayout,n=e.calcdata,i=r[t+"colorway"],a=r["_"+t+"colormap"];r["extend"+t+"colors"]&&(i=l(i,"icicle"===t?p:"treemap"===t?h:f));var o,s=0;function u(t){var e=t.data.data,r=e.id;!1===e.color&&(a[r]?e.color=a[r]:t.parent?t.parent.parent?e.color=t.parent.data.data.color:(a[r]=e.color=i[s%i.length],s++):e.color=o)}for(var c=0;c<n.length;c++){var d=n[c][0];d.trace.type===t&&d.hierarchy&&(o=d.trace.root.color,d.hierarchy.each(u))}},e.crossTraceCalc=function(t){return e._runCrossTraceCalc("sunburst",t)}},7055:function(t){"use strict";t.exports={CLICK_TRANSITION_TIME:750,CLICK_TRANSITION_EASING:"linear",eventDataKeys:["currentPath","root","entry","percentRoot","percentEntry","percentParent"]}},17094:function(t,e,r){"use strict";var n=r(71828),i=r(57564),a=r(27670).c,o=r(90769).handleText,s=r(37434).handleMarkerDefaults,l=r(21081),u=l.hasColorscale,c=l.handleDefaults;t.exports=function(t,e,r,l){function f(r,a){return n.coerce(t,e,i,r,a)}var h=f("labels"),p=f("parents");if(h&&h.length&&p&&p.length){var d=f("values");d&&d.length?f("branchvalues"):f("count"),f("level"),f("maxdepth"),s(t,e,l,f);var v=e._hasColorscale=u(t,"marker","colors")||(t.marker||{}).coloraxis;v&&c(t,e,l,f,{prefix:"marker.",cLetter:"c"}),f("leaf.opacity",v?1:.7);var g=f("text");f("texttemplate"),e.texttemplate||f("textinfo",Array.isArray(g)?"text+label":"label"),f("hovertext"),f("hovertemplate"),o(t,e,l,f,"auto",{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),f("insidetextorientation"),f("sort"),f("rotation"),f("root.color"),a(e,l,f),e._length=null}else e.visible=!1}},43467:function(t,e,r){"use strict";var n=r(91424),i=r(7901);t.exports=function(t,e,r,a,o){var s=e.data.data,l=s.i,u=o||s.color;if(l>=0){e.i=s.i;var c=r.marker;c.pattern&&c.colors&&c.pattern.shape||(c.color=u,e.color=u),n.pointStyle(t,r,a,e)}else i.fill(t,u)}},83523:function(t,e,r){"use strict";var n=r(39898),i=r(73972),a=r(23469).appendArrayPointValue,o=r(30211),s=r(71828),l=r(11086),u=r(2791),c=r(53581).formatPieValue;function f(t,e,r){for(var n=t.data.data,i={curveNumber:e.index,pointNumber:n.i,data:e._input,fullData:e},o=0;o<r.length;o++){var s=r[o];s in t&&(i[s]=t[s])}return"parentString"in t&&!u.isHierarchyRoot(t)&&(i.parent=t.parentString),a(i,e,n.i),i}t.exports=function(t,e,r,a,h){var p=a[0],d=p.trace,v=p.hierarchy,g="sunburst"===d.type,y="treemap"===d.type||"icicle"===d.type;"_hasHoverLabel"in d||(d._hasHoverLabel=!1),"_hasHoverEvent"in d||(d._hasHoverEvent=!1),t.on("mouseover",(function(i){var a=r._fullLayout;if(!r._dragging&&!1!==a.hovermode){var l,m=r._fullData[d.index],x=i.data.data,b=x.i,_=u.isHierarchyRoot(i),w=u.getParent(v,i),T=u.getValue(i),k=function(t){return s.castOption(m,b,t)},A=k("hovertemplate"),M=o.castHoverinfo(m,a,b),S=a.separators;if(A||M&&"none"!==M&&"skip"!==M){var E,L;g&&(E=p.cx+i.pxmid[0]*(1-i.rInscribed),L=p.cy+i.pxmid[1]*(1-i.rInscribed)),y&&(E=i._hoverX,L=i._hoverY);var C,P={},O=[],I=[],D=function(t){return-1!==O.indexOf(t)};M&&(O="all"===M?m._module.attributes.hoverinfo.flags:M.split("+")),P.label=x.label,D("label")&&P.label&&I.push(P.label),x.hasOwnProperty("v")&&(P.value=x.v,P.valueLabel=c(P.value,S),D("value")&&I.push(P.valueLabel)),P.currentPath=i.currentPath=u.getPath(i.data),D("current path")&&!_&&I.push(P.currentPath);var z=[],R=function(){-1===z.indexOf(C)&&(I.push(C),z.push(C))};P.percentParent=i.percentParent=T/u.getValue(w),P.parent=i.parentString=u.getPtLabel(w),D("percent parent")&&(C=u.formatPercent(P.percentParent,S)+" of "+P.parent,R()),P.percentEntry=i.percentEntry=T/u.getValue(e),P.entry=i.entry=u.getPtLabel(e),!D("percent entry")||_||i.onPathbar||(C=u.formatPercent(P.percentEntry,S)+" of "+P.entry,R()),P.percentRoot=i.percentRoot=T/u.getValue(v),P.root=i.root=u.getPtLabel(v),D("percent root")&&!_&&(C=u.formatPercent(P.percentRoot,S)+" of 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N=t.select("path.surface");h.styleOne(N,i,m,r,{hovered:!0})}d._hasHoverEvent=!0,r.emit("plotly_hover",{points:l||[f(i,m,h.eventDataKeys)],event:n.event})}})),t.on("mouseout",(function(e){var i=r._fullLayout,a=r._fullData[d.index],s=n.select(this).datum();if(d._hasHoverEvent&&(e.originalEvent=n.event,r.emit("plotly_unhover",{points:[f(s,a,h.eventDataKeys)],event:n.event}),d._hasHoverEvent=!1),d._hasHoverLabel&&(o.loneUnhover(i._hoverlayer.node()),d._hasHoverLabel=!1),y){var l=t.select("path.surface");h.styleOne(l,s,a,r,{hovered:!1})}})),t.on("click",(function(t){var e=r._fullLayout,a=r._fullData[d.index],s=g&&(u.isHierarchyRoot(t)||u.isLeaf(t)),c=u.getPtId(t),p=u.isEntry(t)?u.findEntryWithChild(v,c):u.findEntryWithLevel(v,c),y=u.getPtId(p),m={points:[f(t,a,h.eventDataKeys)],event:n.event};s||(m.nextLevel=y);var x=l.triggerHandler(r,"plotly_"+d.type+"click",m);if(!1!==x&&e.hovermode&&(r._hoverdata=[f(t,a,h.eventDataKeys)],o.click(r,n.event)),!s&&!1!==x&&!r._dragging&&!r._transitioning){i.call("_storeDirectGUIEdit",a,e._tracePreGUI[a.uid],{level:a.level});var b={data:[{level:y}],traces:[d.index]},_={frame:{redraw:!1,duration:h.transitionTime},transition:{duration:h.transitionTime,easing:h.transitionEasing},mode:"immediate",fromcurrent:!0};o.loneUnhover(e._hoverlayer.node()),i.call("animate",r,b,_)}}))}},2791:function(t,e,r){"use strict";var n=r(71828),i=r(7901),a=r(6964),o=r(53581);function s(t){return t.data.data.pid}e.findEntryWithLevel=function(t,r){var n;return r&&t.eachAfter((function(t){if(e.getPtId(t)===r)return n=t.copy()})),n||t},e.findEntryWithChild=function(t,r){var n;return t.eachAfter((function(t){for(var i=t.children||[],a=0;a<i.length;a++){var o=i[a];if(e.getPtId(o)===r)return 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s,l=b.getPtId(t.parent);T.each((function(t){if(b.getPtId(t)===l)return s=t}));var u,c=s.children;c.forEach((function(t,e){if(b.getPtId(t)===r)return u=e}));var f=c.length,h=a(s.x0,s.x1);e={rpx0:I,rpx1:I,x0:h(u/f),x1:h((u+1)/f)}}return a(n,e)}(t);return function(t){return Z(e(t))}})),t.select("g.slicetext").attr("opacity",0)})).remove():T.exit().remove(),T.order();var X=null;if(_&&R){var J=b.getPtId(R);T.each((function(t){null===X&&b.getPtId(t)===J&&(X=t.x1)}))}var K=T;function $(t){var e=t.parent,r=F[b.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}_&&(K=K.transition().each("end",(function(){var e=n.select(this);b.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),K.each((function(i){var u=n.select(this),f=s.ensureSingle(u,"path","surface",(function(t){t.style("pointer-events",h?"none":"all")}));i.rpx0=q(i.y0),i.rpx1=q(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),_?f.transition().attrTween("d",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return 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a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!s.uniformtext.mode&&b.hasTransition(r);f("sunburst",s),(a=l.selectAll("g.trace.sunburst").data(e,(function(t){return t[0].trace.uid}))).enter().append("g").classed("trace",!0).classed("sunburst",!0).attr("stroke-linejoin","round"),a.order(),c?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each("end",(function(){o&&o()})).each("interrupt",(function(){o&&o()})).each((function(){l.selectAll("g.trace").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(".trace"),"sunburst")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&"none"!==o))return"";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split("+"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y("label")&&c.label&&m.push(c.label),c.hasOwnProperty("v")&&y("value")&&m.push(b.formatValue(c.v,l)),!h){y("current path")&&m.push(b.getPath(t.data));var x=0;y("percent parent")&&x++,y("percent entry")&&x++,y("percent root")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=" of "+t),m.push(v)};y("percent parent")&&!h&&(w=d/b.getValue(p),T("parent")),y("percent entry")&&(w=d/b.getValue(e),T("entry")),y("percent root")&&(w=d/b.getValue(f),T("root"))}}return y("text")&&(v=s.castOption(r,c.i,"text"),s.isValidTextValue(v)&&m.push(v)),m.join("<br>")}var k=s.castOption(r,c.i,"texttemplate");if(!k)return"";var A={};c.label&&(A.label=c.label),c.hasOwnProperty("v")&&(A.value=c.v,A.valueLabel=b.formatValue(c.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),c.hasOwnProperty("color")&&(A.color=c.color);var M=s.castOption(r,c.i,"text");return(s.isValidTextValue(M)||""===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,"customdata"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},29969:function(t,e,r){"use strict";var n=r(39898),i=r(7901),a=r(71828),o=r(72597).resizeText,s=r(43467);function l(t,e,r,n){var 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n=r(78803);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},43768:function(t,e,r){"use strict";var n=r(9330).gl_surface3d,i=r(9330).ndarray,a=r(9330).ndarray_linear_interpolate.d2,o=r(824),s=r(43907),l=r(71828).isArrayOrTypedArray,u=r(81697).parseColorScale,c=r(78614),f=r(21081).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 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t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=u(t),v=l.dataScale,g=t.z[0].length,y=t._ylength,m=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<y;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<y;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=v[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<y;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*y),[g,y]),i(new Float32Array(g*y),[g,y]),i(new 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A=[!0,!0,!0],M=["x","y","z"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,"lighting"in 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2===this.length?t+=67108864*this.words[1]:3===this.length&&1===this.words[2]?t+=4503599627370496+67108864*this.words[1]:this.length>2&&n(!1,"Number can only safely store up to 53 bits"),0!==this.negative?-t:t},a.prototype.toJSON=function(){return this.toString(16)},a.prototype.toBuffer=function(t,e){return n(void 0!==o),this.toArrayLike(o,t,e)},a.prototype.toArray=function(t,e){return this.toArrayLike(Array,t,e)},a.prototype.toArrayLike=function(t,e,r){var i=this.byteLength(),a=r||Math.max(1,i);n(i<=a,"byte array longer than desired length"),n(a>0,"Requested array length <= 0"),this.strip();var o,s,l="le"===e,u=new t(a),c=this.clone();if(l){for(s=0;!c.isZero();s++)o=c.andln(255),c.iushrn(8),u[s]=o;for(;s<a;s++)u[s]=0}else{for(s=0;s<a-i;s++)u[s]=0;for(s=0;!c.isZero();s++)o=c.andln(255),c.iushrn(8),u[a-s-1]=o}return u},Math.clz32?a.prototype._countBits=function(t){return 32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return 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e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n("number"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n("number"==typeof t&&t>=0);var r=t/26|0,i=t%26;return 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0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,I=P>>>13,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Z=0|s[2],Y=8191&Z,W=Z>>>13,X=0|s[3],J=8191&X,K=X>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,q)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,W)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,W)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,q)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,W)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,W)|0;var xt=(u+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;u=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,W)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,W)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(v,J)|0,a=a+Math.imul(v,K)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,W)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,W)|0,n=n+Math.imul(y,J)|0,i=(i=i+Math.imul(y,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,W)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,W)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,W)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,W)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,q)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,q)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,W)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,W)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,q)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,W)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,W)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,W)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,W)|0,n=n+Math.imul(O,J)|0,i=(i=i+Math.imul(O,K)|0)+Math.imul(I,J)|0,a=a+Math.imul(I,K)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,W))+Math.imul(N,Y)|0,a=Math.imul(N,W),n=n+Math.imul(z,J)|0,i=(i=i+Math.imul(z,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n("number"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n("number"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n("number"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n("number"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction context"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function b(){m.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function _(){m.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function w(){m.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function T(t){if("string"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),"modulus must be greater than 1"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if("k256"===t)e=new x;else if("p224"===t)e=new b;else if("p192"===t)e=new _;else{if("p25519"!==t)throw new Error("Unknown prime "+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,"red works only with positives"),n(t.red,"red works only with red numbers")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),"red works only with positives"),n(t.red&&t.red===e.red,"red works only with red numbers")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4==++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return 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a(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,"hasPrev",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},7453:function(t,e,r){"use strict";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(9557),i=r(1681),a=r(1011),o=r(2864),s=r(8468),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function 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v=l("labels");l("labelFont")&&(v=!0),o("labelEnable"),a("labelSize"),a("labelPad"),u("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),u("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),u("lineTickColor"),o("gridEnable"),a("gridWidth"),u("gridColor"),o("zeroEnable"),u("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),u("backgroundColor"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(H[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]="auto"):this.tickAlign[A]=-1,E=1,"auto"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)H[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),"auto"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(""+S[0]),O=0;O<3;++O)H[O]+=k*U[O]*this.labelPad[O]/r[5*O];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){"use strict";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){"use strict";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<A)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return y};var n=r(2288),i=r(104),a=r(4670),o=r(417),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},1681:function(t,e,r){"use strict";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(5827),i=r(2944),a=r(1943).j,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1943:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\nuniform float lineWidth;\nuniform vec2 screenShape;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nvoid main() {\n  vec3 major = position.x * majorAxis;\n  vec3 minor = position.y * minorAxis;\n\n  vec3 vPosition = major + minor + offset;\n  vec3 pPosition = project(vPosition);\n  vec3 offset = project(vPosition + screenAxis * position.z);\n\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);e.j=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"}])};var s=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, axis, alignDir, alignOpt;\nuniform float scale, angle, pixelScale;\nuniform vec2 resolution;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nfloat computeViewAngle(vec3 a, vec3 b) {\n  vec3 A = project(a);\n  vec3 B = project(b);\n\n  return atan(\n    (B.y - A.y) * resolution.y,\n    (B.x - A.x) * resolution.x\n  );\n}\n\nconst float PI = 3.141592;\nconst float TWO_PI = 2.0 * PI;\nconst float HALF_PI = 0.5 * PI;\nconst float ONE_AND_HALF_PI = 1.5 * PI;\n\nint option = int(floor(alignOpt.x + 0.001));\nfloat hv_ratio =       alignOpt.y;\nbool enableAlign =    (alignOpt.z != 0.0);\n\nfloat mod_angle(float a) {\n  return mod(a, PI);\n}\n\nfloat positive_angle(float a) {\n  return mod_angle((a < 0.0) ?\n    a + TWO_PI :\n    a\n  );\n}\n\nfloat look_upwards(float a) {\n  float b = positive_angle(a);\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n    b - PI :\n    b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\n  // if ratio is set to 0.5 then it is 50%, 50%.\n  // when using a higher ratio e.g. 0.75 the result would\n  // likely be more horizontal than vertical.\n\n  float b = positive_angle(a);\n\n  return\n    (b < (      ratio) * HALF_PI) ? 0.0 :\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n                                    0.0;\n}\n\nfloat roundTo(float a, float b) {\n  return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n  float b = positive_angle(a);\n  float div = TWO_PI / float(n);\n  float c = roundTo(b, div);\n  return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n  return\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\n                    rawAngle;                // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n                   (axis.y == 0.0) &&\n                   (axis.z == 0.0);\n\nvoid main() {\n  //Compute world offset\n  float axisDistance = position.z;\n  vec3 dataPosition = axisDistance * axis + offset;\n\n  float beta = angle; // i.e. user defined attributes for each tick\n\n  float axisAngle;\n  float clipAngle;\n  float flip;\n\n  if (enableAlign) {\n    axisAngle = (isAxisTitle) ? HALF_PI :\n                      computeViewAngle(dataPosition, dataPosition + axis);\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n    beta += applyAlignOption(clipAngle, flip * PI);\n  }\n\n  //Compute plane offset\n  vec2 planeCoord = position.xy * pixelScale;\n\n  mat2 planeXform = scale * mat2(\n     cos(beta), sin(beta),\n    -sin(beta), cos(beta)\n  );\n\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n  //Compute clip position\n  vec3 clipPosition = project(dataPosition);\n\n  //Apply text offset in clip coordinates\n  clipPosition += vec3(viewOffset, 0.0);\n\n  //Done\n  gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);e.f=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n  vec3 realNormal = signAxis * normal;\n\n  if(dot(realNormal, enable) > 0.0) {\n    vec3 minRange = min(bounds[0], bounds[1]);\n    vec3 maxRange = max(bounds[0], bounds[1]);\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\n  } else {\n    gl_Position = vec4(0,0,0,0);\n  }\n\n  colorChannel = abs(realNormal);\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n  gl_FragColor = colorChannel.x * colors[0] +\n                 colorChannel.y * colors[1] +\n                 colorChannel.z * colors[2];\n}"]);e.bg=function(t){return i(t,u,c,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},9557:function(t,e,r){"use strict";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:"center",textBaseline:"middle",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d<v;++d)for(var g=p[d],y=2;y>=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)n[d][v].text&&s(n[d][v].x,n[d][v].text,n[d][v].font||i,n[d][v].fontSize||12,1.25,p);c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},8468:function(t,e){"use 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h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=m?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var O=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}}return _};var n=r(5795),i=r(4670),a=r(2864),o=r(104),s=r(2142),l=r(6342),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},5827:function(t,e,r){"use strict";var n=r(5306),i=r(7498),a=r(5050),o=["uint8","uint8_clamped","uint16","uint32","int8","int16","int32","float32"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if("number"!=typeof e&&(e=-1),this.bind(),"object"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r="float32"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension("OES_element_index_uint")&&"uint16"!==r?"uint32":"uint16"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,"uint16"):c(t,"float32"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){"use strict";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;m<r.length;m++){var x=r[m];s=Math.min(x[0],s),l=Math.max(x[0],l),u=Math.min(x[1],u),c=Math.max(x[1],c),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[m];if(n.length(b)>o&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m<r.length;m++)for(var S=(x=r[m])[0],E=x[1],L=x[2],C=v[m],P=n.length(C)*k,O=0;O<8;O++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var I=a.positions.length;a.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return a};var i=r(7234);t.exports.createMesh=r(5028),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:"cone"})}},5028:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(104),l=r(7437),u=r(5050),c=r(9156),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||"cone");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * conePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\n  vec4 t_position  = view * conePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = conePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n  gl_Position = projection * view * conePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},1950:function(t){t.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){"lineWidth"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var c=r[l],h=0;h<3;++h)if(isNaN(c[h])||!isFinite(c[h]))continue t;var p,d=n[l],v=e[s];Array.isArray(v[0])&&(v=e[l]),3===v.length?v=[v[0],v[1],v[2],1]:4===v.length&&(v=[v[0],v[1],v[2],v[3]],!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0)),isNaN(d[0][s])||isNaN(d[1][s])||(d[0][s]<0&&((p=c.slice())[s]+=d[0][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)),d[1][s]>0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){"use strict";var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n  vec4 worldPosition  = model * vec4(position, 1.0);\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n  gl_Position         = projection * view * worldPosition;\n  fragColor           = color;\n  fragPosition        = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  gl_FragColor = opacity * fragColor;\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},4234:function(t,e,r){"use strict";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension("WEBGL_draw_buffers");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),"number"!=typeof e)throw new Error("gl-fbo: Missing shape parameter");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!u)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;"depth"in n&&(v=!!n.depth);var g=!1;return"stencil"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension("WEBGL_depth_texture");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},3530:function(t,e,r){var n=r(8974).sprintf,i=r(6603),a=r(9365),o=r(8008);t.exports=function(t,e,r){"use strict";var s=a(e)||"of unknown name (see npm glsl-shader-name)",l="unknown type";void 0!==r&&(l=r===i.FRAGMENT_SHADER?"fragment":"vertex");for(var u=n("Error compiling %s shader %s:\n",l,s),c=n("%s%s",u,t),f=t.split("\n"),h={},p=0;p<f.length;p++){var d=f[p];if(""!==d&&"\0"!==d){var v=parseInt(d.split(":")[2]);if(isNaN(v))throw new Error(n("Could not parse error: %s",d));h[v]=d}}var g=o(e).split("\n");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+"\n",h[p+1])){var y=h[p+1];y=y.substr(y.split(":",3).join(":").length+1).trim(),u+=n("^^^ %s\n\n",y)}return{long:u.trim(),short:c.trim()}}},6386:function(t,e,r){"use strict";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(5070),i=r(9560),a=r(5306),o=r(5158),s=r(5827),l=r(1292);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(I+U):C*b+I],q=n.le(d,H);if(q<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(q===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Z=1-G,Y=4*q,W=4*(q+1);F=Z*v[Y]+G*v[W],B=Z*v[Y+1]+G*v[W+1],N=Z*v[Y+2]+G*v[W+2],j=Z*v[Y+3]+G*v[W+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*D+.5*z,k[2*S+1]=.5*P+.5*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},1292:function(t,e,r){"use strict";var n=r(6832);t.exports={fragment:n(["precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n"]),vertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 color;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  fragColor = color;\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"]),pickFragment:n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nuniform vec2 shape;\nuniform vec4 pickOffset;\n\nvoid main() {\n  vec2 d = step(.5, vWeight);\n  vec4 id = fragId + pickOffset;\n  id.x += d.x + d.y*shape.x;\n\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  gl_FragColor = id/255.;\n}\n"]),pickVertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nvoid main() {\n  vWeight = weight;\n\n  fragId = pickId;\n\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"])}},248:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  vec4 startPoint = project(position);\n  vec4 endPoint   = project(nextPosition);\n\n  vec2 A = startPoint.xy / startPoint.w;\n  vec2 B =   endPoint.xy /   endPoint.w;\n\n  float clipAngle = atan(\n    (B.y - A.y) * screenShape.y,\n    (B.x - A.x) * screenShape.x\n  );\n\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\n    sin(clipAngle),\n    -cos(clipAngle)\n  ) / screenShape;\n\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\n\n  worldPosition = position;\n  pixelArcLength = arcLength;\n  fragColor = color;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3      clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float     dashScale;\nuniform float     opacity;\n\nvarying vec3    worldPosition;\nvarying float   pixelArcLength;\nvarying vec4    fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n  if(dashWeight < 0.5) {\n    discard;\n  }\n  gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX  1.70141184e38\n#define FLOAT_MIN  1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n  float av = abs(v);\n\n  //Handle special cases\n  if(av < FLOAT_MIN) {\n    return vec4(0.0, 0.0, 0.0, 0.0);\n  } else if(v > FLOAT_MAX) {\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n  } else if(v < -FLOAT_MAX) {\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n  }\n\n  vec4 c = vec4(0,0,0,0);\n\n  //Compute exponent and mantissa\n  float e = floor(log2(av));\n  float m = av * pow(2.0, -e) - 1.0;\n\n  //Unpack mantissa\n  c[1] = floor(128.0 * m);\n  m -= c[1] / 128.0;\n  c[2] = floor(32768.0 * m);\n  m -= c[2] / 32768.0;\n  c[3] = floor(8388608.0 * m);\n\n  //Unpack exponent\n  float ebias = e + 127.0;\n  c[0] = floor(ebias / 2.0);\n  ebias -= c[0] * 2.0;\n  c[1] += floor(ebias) * 128.0;\n\n  //Unpack sign bit\n  c[0] += 128.0 * step(0.0, -v);\n\n  //Scale back to range\n  return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var y,m,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,"dashes"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=u(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=0,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2]),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),u=1-a,c=[0,0,0],f=0;f<3;++f)c[f]=u*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,c,h,this.points[h])}},7332:function(t){t.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},9823:function(t){t.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7787:function(t){t.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],f=t[10],h=t[11],p=t[12],d=t[13],v=t[14],g=t[15];return(e*o-r*a)*(f*g-h*v)-(e*s-n*a)*(c*g-h*d)+(e*l-i*a)*(c*v-f*d)+(r*s-n*o)*(u*g-h*p)-(r*l-i*o)*(u*v-f*p)+(n*l-i*s)*(u*d-c*p)}},5950:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,f=n*s,h=i*o,p=i*s,d=i*l,v=a*o,g=a*s,y=a*l;return t[0]=1-f-d,t[1]=c+y,t[2]=h-g,t[3]=0,t[4]=c-y,t[5]=1-u-d,t[6]=p+v,t[7]=0,t[8]=h+g,t[9]=p-v,t[10]=1-u-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7280:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,f=n*l,h=n*u,p=i*l,d=i*u,v=a*u,g=o*s,y=o*l,m=o*u;return t[0]=1-(p+v),t[1]=f+m,t[2]=h-y,t[3]=0,t[4]=f-m,t[5]=1-(c+v),t[6]=d+g,t[7]=0,t[8]=h+y,t[9]=d-g,t[10]=1-(c+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},9947:function(t){t.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7437:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],f=e[9],h=e[10],p=e[11],d=e[12],v=e[13],g=e[14],y=e[15],m=r*s-n*o,x=r*l-i*o,b=r*u-a*o,_=n*l-i*s,w=n*u-a*s,T=i*u-a*l,k=c*v-f*d,A=c*g-h*d,M=c*y-p*d,S=f*g-h*v,E=f*y-p*v,L=h*y-p*g,C=m*L-x*E+b*S+_*M-w*A+T*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(v*T-g*w+y*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-u*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-y*x)*C,t[7]=(c*T-h*b+p*x)*C,t[8]=(o*E-s*M+u*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-v*b+y*m)*C,t[11]=(f*b-c*w-p*m)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(v*x-d*_-g*m)*C,t[15]=(c*_-f*x+h*m)*C,t):null}},3012:function(t,e,r){var n=r(9947);t.exports=function(t,e,r,i){var a,o,s,l,u,c,f,h,p,d,v=e[0],g=e[1],y=e[2],m=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];return Math.abs(v-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(y-T)<1e-6?n(t):(f=v-_,h=g-w,p=y-T,a=x*(p*=d=1/Math.sqrt(f*f+h*h+p*p))-b*(h*=d),o=b*(f*=d)-m*p,s=m*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0),l=h*s-p*o,u=p*a-f*s,c=f*o-h*a,(d=Math.sqrt(l*l+u*u+c*c))?(l*=d=1/d,u*=d,c*=d):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=u,t[6]=h,t[7]=0,t[8]=s,t[9]=c,t[10]=p,t[11]=0,t[12]=-(a*v+o*g+s*y),t[13]=-(l*v+u*g+c*y),t[14]=-(f*v+h*g+p*y),t[15]=1,t)}},104:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],v=e[12],g=e[13],y=e[14],m=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*v,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*u+_*p+w*y,t[3]=x*o+b*c+_*d+w*m,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*v,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*u+_*p+w*y,t[7]=x*o+b*c+_*d+w*m,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*v,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*u+_*p+w*y,t[11]=x*o+b*c+_*d+w*m,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*v,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*u+_*p+w*y,t[15]=x*o+b*c+_*d+w*m,t}},5268:function(t){t.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t}},1120:function(t){t.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},4422:function(t){t.exports=function(t,e,r,n){var 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n           , view\n           , projection\n           , inverseModel;\nuniform vec3 eyePosition\n           , lightPosition;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  gl_Position      = project(position);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  f_color          = color;\n  f_data           = position;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n            , fresnel\n            , kambient\n            , kdiffuse\n            , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (f_color.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\n  ) discard;\n\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_color = color;\n  f_data  = position;\n  f_uv    = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n  } else {\n    gl_Position = projection * view * model * vec4(position, 1.0);\n  }\n  gl_PointSize = pointSize;\n  f_color = color;\n  f_uv = uv;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n  if(dot(pointR, pointR) > 0.25) {\n    discard;\n  }\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_id        = id;\n  f_position  = position;\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3  position;\nattribute float pointSize;\nattribute vec4  id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n  } else {\n    gl_Position  = projection * view * model * vec4(position, 1.0);\n    gl_PointSize = pointSize;\n  }\n  f_id         = id;\n  f_position   = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n  gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},8116:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"contourEnable"in t&&(this.contourEnable=t.contourEnable),"contourColor"in t&&(this.contourColor=t.contourColor),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"lightPosition"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,"opacity"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),"opacityscale"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:"rgba"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=P||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?m.push(W[0],W[1],W[2],this.opacity):(m.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(X[0],X[1]),B?b.push(B[Y]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?d.push(W[0],W[1],W[2],this.opacity):(d.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(X[0],X[1]),g.push(R);H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t;for(U=0;U<3;++U){var Y,W,X,J;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(W=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?a.push(W[0],W[1],W[2],this.opacity):(a.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(X[0],X[1]),J=w?w[Y]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension("OES_standard_derivatives")||t.getExtension("MOZ_OES_standard_derivatives")||t.getExtension("WEBKIT_OES_standard_derivatives")))throw new Error("derivatives not supported");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),O=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,P,O,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},4554:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3016:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(5827),i=r(5158),a=r(5070),o=r(2709);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*O,z=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},1154:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2709:function(t,e,r){"use strict";var n=r(6832),i=n(["precision lowp float;\n#define GLSLIFY 1\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\n}\n"]);t.exports={lineVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 start, end;\nuniform float width;\n\nvec2 perp(vec2 v) {\n  return vec2(v.y, -v.x);\n}\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  vec2 delta = normalize(perp(start - end));\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\n}\n"]),lineFrag:i,textVert:n(["#define GLSLIFY 1\nattribute vec3 textCoordinate;\n\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\nuniform float angle;\n\nvoid main() {\n  float dataOffset  = textCoordinate.z;\n  vec2 glyphOffset  = textCoordinate.xy;\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\n    glyphMatrix * glyphOffset * textScale + screenOffset;\n  gl_Position = vec4(screenCoordinate, 0, 1);\n}\n"]),textFrag:i,gridVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale;\nuniform float lineWidth;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\n  gl_Position = vec4(pos, 0, 1);\n}\n"]),gridFrag:i,boxVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 lo, hi;\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\n}\n"]),tickVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\n}\n"])}},5613:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(5827),i=r(5158),a=r(6946),o=r(5070),s=r(2709);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||"sans-serif";i=p.fontSize||12;for(var y=1/(u[o+2]-u[o]),m=u[o],x=v.split("\n"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-m)*y);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:"center"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2117:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(2611),i=r(3016),a=r(5613),o=r(1154),s=r(4554);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!("titleEnable"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||["x","y"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||["sans-serif","sans-serif"],title:t.title||"",titleSize:t.titleSize||18,titleFont:t.titleFont||"sans-serif"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4296:function(t,e,r){"use strict";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];"distanceLimits"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),"zoomMin"in e&&(r[0]=e.zoomMin),"zoomMax"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:"rotate",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&"orthographic"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),"turntable"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener("contextmenu",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s="rotate"===o,l="pan"===o,c="zoom"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener("touchstart",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener("touchmove",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener("touchend",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n  uv = position;\n  gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n  gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);t.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},1059:function(t,e,r){"use strict";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return"boolean"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement("canvas"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error("webgl not supported");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener("resize",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener("resize",N),e.removeEventListener("webglcontextlost",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener("webglcontextlost",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],H=[V[0].slice(),V[1].slice()];function q(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||H[0][p]!==d[0][p]||H[1][p]!==d[1][p],H[0][p]=d[0][p],H[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(z[0]=T,z[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(D)),S.axes=A,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(q(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,q())},F},createCamera:n}},8023:function(t,e,r){var n=r(6832);e.pointVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform float pointCloud;\n\nhighp float rand(vec2 co) {\n  highp float a = 12.9898;\n  highp float b = 78.233;\n  highp float c = 43758.5453;\n  highp float d = dot(co.xy, vec2(a, b));\n  highp float e = mod(d, 3.14);\n  return fract(sin(e) * c);\n}\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n    // if we don't jitter the point size a bit, overall point cloud\n    // saturation 'jumps' on zooming, which is disturbing and confusing\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    // get the same square surface as circle would be\n    gl_PointSize *= 0.886;\n  }\n}"]),e.pointFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color, borderColor;\nuniform float centerFraction;\nuniform float pointCloud;\n\nvoid main() {\n  float radius;\n  vec4 baseColor;\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    if(centerFraction == 1.0) {\n      gl_FragColor = color;\n    } else {\n      gl_FragColor = mix(borderColor, color, centerFraction);\n    }\n  } else {\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\n    if(radius > 1.0) {\n      discard;\n    }\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n  }\n}\n"]),e.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n  gl_PointSize = pointSize;\n\n  vec4 id = pickId + pickOffset;\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  fragId = id;\n}\n"]),e.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n  if(radius > 1.0) {\n    discard;\n  }\n  gl_FragColor = fragId / 255.0;\n}\n"])},8271:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){"use strict";t.exports=function(t){return t||0===t?t.toString():""}},4123:function(t,e,r){"use strict";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(u=0;u<s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l<c.positions.length;++l)for(u=0;u<c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l<h;++l){var p=c.positions[l];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],p[u]),f[1][u]=Math.max(f[1][u],p[u])}return a[t]=[s,c,f]};var i={}},9282:function(t,e,r){var n=r(5158),i=r(6832),a=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = 1.0;\n    if(distance(highlightId, id) < 0.0001) {\n      scale = highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1);\n    vec4 viewPosition = view * worldPosition;\n    viewPosition = viewPosition / viewPosition.w;\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = pixelRatio;\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\n      scale *= highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1.0);\n    vec4 viewPosition = view * worldPosition;\n    vec4 clipPosition = projection * viewPosition;\n    clipPosition /= clipPosition.w;\n\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float lscale = pixelRatio * scale;\n    if(distance(highlightId, id) < 0.0001) {\n      lscale *= highlightScale;\n    }\n\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = dataPosition;\n  }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n    interpColor.a * opacity == 0.\n  ) discard;\n  gl_FragColor = interpColor * opacity;\n}\n"]),u=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),c=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){"use strict";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a="▼",o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){C(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var c=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,y=t.lineColor,m=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),O=o.mallocUint32(S);if(S>0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)z[T]=U[T];z[3]=1}else if(4===U.length){for(T=0;T<4;++T)z[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else z[0]=z[1]=z[2]=0,z[3]=1;else 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tt=J[K[$]];C[2*I]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*I+1]=V*(G*tt[0]+q*tt[1]+W[1]),I+=1}for(X=A.edges,J=A.positions,T=0;T<X.length;++T)for(K=X[T],$=0;$<2;++$){for(Q=0;Q<3;++Q)E[3*D+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*D+Q]=R[Q];O[D]=m,tt=J[K[$]],C[2*D]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*D+1]=V*(G*tt[0]+q*tt[1]+W[1]),D+=1}}}this.bounds=[c,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(O),o.free(E),o.free(L),o.free(C),o.free(O)},y.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},1884:function(t,e,r){"use strict";var n=r(6832);e.boxVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 vertex;\n\nuniform vec2 cornerA, cornerB;\n\nvoid main() {\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\n}\n"]),e.boxFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n  gl_FragColor = color;\n}\n"])},6623:function(t,e,r){"use strict";var n=r(5158),i=r(5827),a=r(1884);function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}t.exports=function(t,e){var r=t.gl,s=new o(t,i(r,[0,0,0,1,1,0,1,1]),n(r,a.boxVertex,a.boxFragment));return s.update(e),t.addOverlay(s),s};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,u=t.viewBox,c=t.pixelRatio,f=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],h=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],p=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],d=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(f=Math.max(f,u[0]),h=Math.max(h,u[1]),p=Math.min(p,u[2]),d=Math.min(d,u[3]),!(p<f||d<h)){o.bind();var v=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,v,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,v,g,i),o.drawBox(p,h,v,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){"use strict";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var 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i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),u=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||u<=l)return null;var c=[o-i,u-l],f=a(this.buffer,[c[0],c[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var u=0;u<s;u++){var c=t.get(l,u,0),f=t.get(l,u,1),h=t.get(l,u,2),p=t.get(l,u,3);if(c<255||f<255||h<255||p<255){var d=e-l,v=r-u,g=d*d+v*v;g<n&&(n=g,i=l,a=u)}}return[i,a,n]}(f.hi(c[0],c[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},u.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},5158:function(t,e,r){"use strict";var n=r(9016),i=r(4280),a=r(3984),o=r(1628),s=r(2631),l=r(9068);function 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with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * tubePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\n  vec4 t_position  = view * tubePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = tubePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  gl_Position = projection * view * tubePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},7307:function(t,e,r){"use strict";var n=r(2858),i=r(4020),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||"+x+y+z",p={};-1!==h.indexOf("-x")&&(p.reversedX=!0),-1!==h.indexOf("-y")&&(p.reversedY=!0),-1!==h.indexOf("-z")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,"").replace(/\+/g,""));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(H,z,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Z=n.create(),Y=n.create();n.lerp(Z,V,q,O),n.lerp(Y,H,G,O);var W=n.create();return n.lerp(W,Z,Y,I),W}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),D=C;O.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(9578),c=r(1140).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:"streamtube"})}},9054:function(t,e,r){var n=r(5158),i=r(6832),a=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute vec3 f;\nattribute vec3 normal;\n\nuniform vec3 objectOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 lightPosition, eyePosition;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 localCoordinate = vec3(uv.zw, f.x);\n  worldCoordinate = objectOffset + localCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n  vec4 clipPosition = projection * view * worldPosition;\n  gl_Position = clipPosition;\n  kill = f.y;\n  value = f.z;\n  planeCoordinate = uv.xy;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * worldPosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  lightDirection = lightPosition - cameraCoordinate.xyz;\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\n}\n"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat beckmannSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness) {\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  if (\n    kill > 0.0 ||\n    vColor.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n  ) discard;\n\n  vec3 N = normalize(surfaceNormal);\n  vec3 V = normalize(eyeDirection);\n  vec3 L = normalize(lightDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  //decide how to interpolate color — in vertex or in fragment\n  vec4 surfaceColor =\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n    step(.5, vertexColor) * vColor;\n\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n  worldCoordinate = objectOffset + dataCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n  vec4 clipPosition = projection * view * worldPosition;\n  clipPosition.z += zOffset;\n\n  gl_Position = clipPosition;\n  value = f + objectOffset.z;\n  kill = -1.0;\n  planeCoordinate = uv.zw;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Don't do lighting for contours\n  surfaceNormal   = vec3(1,0,0);\n  eyeDirection    = vec3(0,1,0);\n  lightDirection  = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n  float vh = 255.0 * v;\n  float upper = floor(vh);\n  float lower = fract(vh);\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n  if ((kill > 0.0) ||\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){"use strict";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||"jet",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:"rgba"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=B(t.contourWidth,Number)),"showContour"in t&&(this.showContour=B(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=B(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=j(t.contourColor)),"contourProject"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=j(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],"mirror");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+y+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Z=o+k[q][0],Y=y+k[q][1],W=this._field[0].get(Z+1,Y+1),X=this._field[1].get(Z+1,Y+1);G=this._field[2].get(Z+1,Y+1),E=b.get(Z+1,Y+1,0),L=b.get(Z+1,Y+1,1),C=b.get(Z+1,Y+1,2),t.intensity&&(J=t.intensity.get(Z,Y));var J=t.intensity?t.intensity.get(Z,Y):G+this.objectOffset[2];F[N++]=Z,F[N++]=Y,F[N++]=W,F[N++]=X,F[N++]=G,F[N++]=0,F[N++]=J,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],W+this.objectOffset[0]),O[1]=Math.min(O[1],X+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),D=Math.min(D,J),I[0]=Math.max(I[0],W+this.objectOffset[0]),I[1]=Math.max(I[1],X+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,J),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if("levels"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<K[o].length;++y)K[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<K[o].length;++y)if(K[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=K}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(Z=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var yt=H?ht:1-ht;if(Y=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[vt].get(Z,Y):(this.intensity.get(Z,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,O=T*L,I=T*E,D=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},8931:function(t,e,r){"use strict";var n=r(5050),i=r(7498),a=r(5306);t.exports=function(t){if(arguments.length<=1)throw new Error("gl-texture2d: Missing arguments for texture2d constructor");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),"number"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if("object"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error("gl-texture2d: Invalid texture size");var l=d(o,e.stride.slice()),u=0;"float32"===r?u=t.FLOAT:"float64"===r?(u=t.FLOAT,l=!1,r="float32"):"uint8"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r="uint8");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");g=t.RGBA}}u!==t.FLOAT||t.getExtension("OES_texture_float")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);"float32"!==r&&"float64"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function u(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error("gl-texture2d: Invalid texture shape")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var 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hn=function(t,e){this._parameters=t,this._specification=e,Ft(this,Qr(this._parameters,this._specification))};function pn(t){var e=null;if(t instanceof wr)e=pn(t.result);else if(t instanceof _r)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=pn(i))break}else(t instanceof Ke||t instanceof xr)&&t.input instanceof Ae&&"zoom"===t.input.name&&(e=t);return e instanceof jt||t.eachChild((function(t){var r=pn(t);r instanceof jt?e=r:!e&&r?e=new jt("",'"zoom" expression may only be used as input to a top-level "step" or "interpolate" expression.'):e&&r&&e!==r&&(e=new jt("",'Only one zoom-based "step" or "interpolate" subexpression may be used in an expression.'))})),e}function dn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Jr(r);if("object"!==l)return[new zt(e,r,"object expected, "+l+" found")];for(var u in r){var c=u.split(".")[0],f=n[c]||n["*"],h=void 0;if(i[c])h=i[c];else if(n[c])h=Un;else 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e=[],a=t.value,s=t.key;if("array"!==Jr(a))return[new zt(s,a,"array expected, "+Jr(a)+" found")];if(2!==a.length)return[new zt(s,a,"array length 2 expected, length "+a.length+" found")];if(u){if("object"!==Jr(a[0]))return[new zt(s,a,"object expected, "+Jr(a[0])+" found")];if(void 0===a[0].zoom)return[new zt(s,a,"object stop key must have zoom")];if(void 0===a[0].value)return[new zt(s,a,"object stop key must have value")];if(n&&n>Bt(a[0].zoom))return[new zt(s,a[0].zoom,"stop zoom values must appear in ascending order")];Bt(a[0].zoom)!==n&&(n=Bt(a[0].zoom),r=void 0,o={}),e=e.concat(dn({key:s+"[0]",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:gn,value:h}}))}else e=e.concat(h({key:s+"[0]",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return sn(Nt(a[1]))?e.concat([new zt(s+"[1]",a[1],"expressions are not allowed in function 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e=("property"===t.expressionContext?fn:ln)(Nt(t.value),t.valueSpec);if("error"===e.result)return e.value.map((function(e){return new zt(""+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if("property"===t.expressionContext&&"text-font"===t.propertyKey&&!r.outputDefined())return[new zt(t.key,t.value,'Invalid data expression for "'+t.propertyKey+'". 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zt(r,e,'filter array for "'+e[0]+'" operator must have 2 elements')):"string"!==n&&a.push(new zt(r+"[1]",e[1],"string expected, "+n+" found"));break;case"within":n=Jr(e[1]),2!==e.length?a.push(new zt(r,e,'filter array for "'+e[0]+'" operator must have 2 elements')):"object"!==n&&a.push(new zt(r+"[1]",e[1],"object expected, "+n+" found"))}return a}function On(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+"_"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if("paint"===e&&l&&s[l[1]]&&s[l[1]].transition)return Un({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new zt(r,a,'unknown property "'+o+'"')];if("string"===Jr(a)&&Yr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new zt(r,a,'"'+o+'" does not support interpolation syntax\nUse an identity property function instead: `{ "type": "identity", "property": '+JSON.stringify(u[1])+" }`.")];var f=[];return"symbol"===t.layerType&&("text-field"===o&&n&&!n.glyphs&&f.push(new zt(r,a,'use of "text-field" requires a style "glyphs" property')),"text-font"===o&&Kr(Nt(a))&&"identity"===Bt(a.type)&&f.push(new zt(r,a,'"text-font" does not support identity functions'))),f.concat(Un({key:t.key,value:a,valueSpec:c,style:n,styleSpec:i,expressionContext:"property",propertyType:e,propertyKey:o}))}function In(t){return On(t,"paint")}function Dn(t){return On(t,"layout")}function zn(t){var e=[],r=t.value,n=t.key,i=t.style,a=t.styleSpec;r.type||r.ref||e.push(new zt(n,r,'either "type" or "ref" is required'));var o,s=Bt(r.type),l=Bt(r.ref);if(r.id)for(var u=Bt(r.id),c=0;c<t.arrayIndex;c++){var f=i.layers[c];Bt(f.id)===u&&e.push(new zt(n,r.id,'duplicate layer id "'+r.id+'", previously used at line '+f.id.__line__))}if("ref"in r)["type","source","source-layer","filter","layout"].forEach((function(t){t in r&&e.push(new zt(n,r[t],'"'+t+'" is prohibited for ref 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e.push(new zt(n,r,'missing required property "source"'));return e=e.concat(dn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(){return[]},type:function(){return Un({key:n+".type",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:"type"})},filter:Cn,layout:function(t){return dn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return Dn(Ft({layerType:s},t))}}})},paint:function(t){return dn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return In(Ft({layerType:s},t))}}})}}})),e}function Rn(t){var e=t.value,r=t.key,n=Jr(e);return"string"!==n?[new zt(r,e,"string expected, "+n+" found")]:[]}var Fn={promoteId:function(t){var e=t.key,r=t.value;if("string"===Jr(r))return Rn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,Rn({key:e+"."+i,value:r[i]}));return n}};function Bn(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new zt(r,e,'"type" is required')];var a,o=Bt(e.type);switch(o){case"vector":case"raster":case"raster-dem":return dn({key:r,value:e,valueSpec:n["source_"+o.replace("-","_")],style:t.style,styleSpec:n,objectElementValidators:Fn});case"geojson":if(a=dn({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:Fn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],u=l[0],c=l[1],f="string"==typeof u?[u,["accumulated"],["get",s]]:u;a.push.apply(a,mn({key:r+"."+s+".map",value:c,expressionContext:"cluster-map"})),a.push.apply(a,mn({key:r+"."+s+".reduce",value:f,expressionContext:"cluster-reduce"}))}return a;case"video":return dn({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case"image":return dn({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case"canvas":return[new zt(r,null,"Please use runtime APIs to add canvas sources, rather 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o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ri=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ri.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Ni(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ri.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};Fi.prototype.getValue=function(t){return b(this._values[t].value)},Fi.prototype.setValue=function(t,e){this._values[t]=new Oi(this._values[t].property,null===e?void 0:b(e))},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},Fi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Ni(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Bi.prototype.isConstant=function(){return"constant"===this.value.kind},Bi.prototype.constantOr=function(t){return"constant"===this.value.kind?this.value.value:t},Bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Ni.prototype.get=function(t){return this._values[t]};var ji=function(t){this.specification=t};ji.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},ji.prototype.interpolate=function(t,e,r){var n=Qe[this.specification.type];return n?n(t,e,r):t};var Ui=function(t,e){this.specification=t,this.overrides=e};Ui.prototype.possiblyEvaluate=function(t,e,r,n){return"constant"===t.expression.kind||"camera"===t.expression.kind?new Bi(this,{kind:"constant",value:t.expression.evaluate(e,null,{},r,n)},e):new Bi(this,t.expression,e)},Ui.prototype.interpolate=function(t,e,r){if("constant"!==t.value.kind||"constant"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Bi(this,{kind:"constant",value:void 0},t.parameters);var n=Qe[this.specification.type];return n?new Bi(this,{kind:"constant",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ui.prototype.evaluate=function(t,e,r,n,i,a){return"constant"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Bi(this,{kind:"constant",value:void 0},e);if("constant"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a="resolvedImage"===t.property.specification.type&&"string"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Bi(this,{kind:"constant",value:o},e)}if("camera"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Bi(this,{kind:"constant",value:s},e)}return new Bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if("source"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return"composite"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ui),Hi=function(t){this.specification=t};Hi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if("constant"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Pi(Math.floor(e.zoom),e)),t.expression.evaluate(new Pi(Math.floor(e.zoom+1),e)),e)}},Hi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Hi.prototype.interpolate=function(t){return t};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},qi.prototype.interpolate=function(){return!1};var Gi=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new Oi(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Ii(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};ni("DataDrivenProperty",Ui),ni("DataConstantProperty",ji),ni("CrossFadedDataDrivenProperty",Vi),ni("CrossFadedProperty",Hi),ni("ColorRampProperty",qi);var Zi="-transition",Yi=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},"custom"!==e.type&&(this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,"background"!==e.type&&(this.source=e.source,this.sourceLayer=e["source-layer"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new Fi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new Di(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Ni(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return"visibility"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n="layers."+this.id+".layout."+t;if(this._validate(Xn,n,t,e,r))return}"visibility"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return y(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n="layers."+this.id+".paint."+t;if(this._validate(Wn,n,t,e,r))return!1}if(y(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a="cross-faded-data-driven"===i.property.specification["property-type"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||"none"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,"source-layer":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),x(t,(function(t,e){return!(void 0===t||"layout"===e&&!Object.keys(t).length||"paint"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Jn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Dt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Bi&&Yr(e.property.specification)&&("source"===e.value.kind||"composite"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(It),Wi={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Xi=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Ji=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ki(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Wi[i].BYTES_PER_ELEMENT),o=r=$i(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:$i(r,Math.max(n,e)),alignment:e}}function $i(t,e){return Math.ceil(t/e)*e}Ji.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Ji.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Ji.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Ji.prototype.clear=function(){this.length=0},Ji.prototype.resize=function(t){this.reserve(t),this.length=t},Ji.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Ji.prototype._refreshViews=function(){throw new Error("_refreshViews() must be implemented by each concrete StructArray layout")};var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Ji);Qi.prototype.bytesPerElement=4,ni("StructArrayLayout2i4",Qi);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Ji);ta.prototype.bytesPerElement=8,ni("StructArrayLayout4i8",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Ji);ea.prototype.bytesPerElement=12,ni("StructArrayLayout2i4i12",ea);var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Ji);ra.prototype.bytesPerElement=8,ni("StructArrayLayout2i4ub8",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l,u)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=u,this.uint8[h+17]=c,t},e}(Ji);na.prototype.bytesPerElement=18,ni("StructArrayLayout8ui2ub18",na);var ia=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,u,c,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=u,this.int16[p+9]=c,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Ji);ia.prototype.bytesPerElement=24,ni("StructArrayLayout4i4ui4i24",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Ji);aa.prototype.bytesPerElement=12,ni("StructArrayLayout3f12",aa);var oa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Ji);oa.prototype.bytesPerElement=4,ni("StructArrayLayout1ul4",oa);var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*t;return this.int16[c+0]=e,this.int16[c+1]=r,this.int16[c+2]=n,this.int16[c+3]=i,this.int16[c+4]=a,this.int16[c+5]=o,this.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(Ji);sa.prototype.bytesPerElement=20,ni("StructArrayLayout6i1ul2ui20",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Ji);la.prototype.bytesPerElement=12,ni("StructArrayLayout2i2i2i12",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Ji);ua.prototype.bytesPerElement=16,ni("StructArrayLayout2f1f2i16",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Ji);ca.prototype.bytesPerElement=12,ni("StructArrayLayout2ub2f12",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Ji);fa.prototype.bytesPerElement=6,ni("StructArrayLayout3ui6",fa);var ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g){var y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y){var m=24*t,x=12*t,b=48*t;return this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Ji);ha.prototype.bytesPerElement=48,ni("StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48",ha);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Ji);pa.prototype.bytesPerElement=68,ni("StructArrayLayout8i15ui1ul4f68",pa);var da=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Ji);da.prototype.bytesPerElement=4,ni("StructArrayLayout1f4",da);var va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Ji);va.prototype.bytesPerElement=6,ni("StructArrayLayout3i6",va);var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Ji);ga.prototype.bytesPerElement=8,ni("StructArrayLayout1ul2ui8",ga);var ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Ji);ya.prototype.bytesPerElement=4,ni("StructArrayLayout2ui4",ya);var ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Ji);ma.prototype.bytesPerElement=2,ni("StructArrayLayout1ui2",ma);var xa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Ji);xa.prototype.bytesPerElement=8,ni("StructArrayLayout2f8",xa);var ba=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Ji);ba.prototype.bytesPerElement=16,ni("StructArrayLayout4f16",ba);var _a=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Xi);_a.prototype.size=20;var wa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new _a(this,t)},e}(sa);ni("CollisionBoxArray",wa);var Ta=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Xi);Ta.prototype.size=48;var ka=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ta(this,t)},e}(ha);ni("PlacedSymbolArray",ka);var Aa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(Xi);Aa.prototype.size=68;var Ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Aa(this,t)},e}(pa);ni("SymbolInstanceArray",Ma);var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(da);ni("GlyphOffsetArray",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(va);ni("SymbolLineVertexArray",Ea);var La=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+3]},Object.defineProperties(e.prototype,r),e}(Xi);La.prototype.size=8;var Ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new La(this,t)},e}(ga);ni("FeatureIndexArray",Ca);var Pa=Ki([{name:"a_pos",components:2,type:"Int16"}],4).members,Oa=function(t){void 0===t&&(t=[]),this.segments=t};function Ia(t,e){return 256*(t=u(Math.floor(t),0,255))+u(Math.floor(e),0,255)}Oa.prototype.prepareSegment=function(t,e,r,n){var i=this.segments[this.segments.length-1];return t>Oa.MAX_VERTEX_ARRAY_LENGTH&&w("Max vertices per segment is "+Oa.MAX_VERTEX_ARRAY_LENGTH+": bucket requested "+t),(!i||i.vertexLength+t>Oa.MAX_VERTEX_ARRAY_LENGTH||i.sortKey!==n)&&(i={vertexOffset:e.length,primitiveOffset:r.length,vertexLength:0,primitiveLength:0},void 0!==n&&(i.sortKey=n),this.segments.push(i)),i},Oa.prototype.get=function(){return this.segments},Oa.prototype.destroy=function(){for(var t=0,e=this.segments;t<e.length;t+=1){var r=e[t];for(var n in r.vaos)r.vaos[n].destroy()}},Oa.simpleSegment=function(t,e,r,n){return new Oa([{vertexOffset:t,primitiveOffset:e,vertexLength:r,primitiveLength:n,vaos:{},sortKey:0}])},Oa.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,ni("SegmentVector",Oa);var Da=Ki([{name:"a_pattern_from",components:4,type:"Uint16"},{name:"a_pattern_to",components:4,type:"Uint16"},{name:"a_pixel_ratio_from",components:1,type:"Uint8"},{name:"a_pixel_ratio_to",components:1,type:"Uint8"}]),za=e((function(t){t.exports=function(t,e){var 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r,n=t.length,i=e^n,a=0;n>=4;)r=1540483477*(65535&(r=255&t.charCodeAt(a)|(255&t.charCodeAt(++a))<<8|(255&t.charCodeAt(++a))<<16|(255&t.charCodeAt(++a))<<24))+((1540483477*(r>>>16)&65535)<<16),i=1540483477*(65535&i)+((1540483477*(i>>>16)&65535)<<16)^(r=1540483477*(65535&(r^=r>>>24))+((1540483477*(r>>>16)&65535)<<16)),n-=4,++a;switch(n){case 3:i^=(255&t.charCodeAt(a+2))<<16;case 2:i^=(255&t.charCodeAt(a+1))<<8;case 1:i=1540483477*(65535&(i^=255&t.charCodeAt(a)))+((1540483477*(i>>>16)&65535)<<16)}return i=1540483477*(65535&(i^=i>>>13))+((1540483477*(i>>>16)&65535)<<16),(i^=i>>>15)>>>0}})),Fa=za,Ba=za,Na=Ra;Fa.murmur3=Ba,Fa.murmur2=Na;var ja=function(){this.ids=[],this.positions=[],this.indexed=!1};ja.prototype.add=function(t,e,r,n){this.ids.push(Va(t)),this.positions.push(e,r,n)},ja.prototype.getPositions=function(t){for(var e=Va(t),r=0,n=this.ids.length-1;r<n;){var i=r+n>>1;this.ids[i]>=e?n=i:r=i+1}for(var a=[];this.ids[r]===e;){var 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ro=function(t,e){this.uniformNames=e.map((function(t){return"u_"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};ro.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},ro.prototype.setUniform=function(t,e,r,n){var i="u_pattern_to"===n?this.patternTo:"u_pattern_from"===n?this.patternFrom:"u_pixel_ratio_to"===n?this.pixelRatioTo:"u_pixel_ratio_from"===n?this.pixelRatioFrom:null;i&&t.set(i)},ro.prototype.getBinding=function(t,e,r){return"u_pattern"===r.substr(0,9)?new Ja(t,e):new Ya(t,e)};var no=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?2:1,offset:0}})),this.paintVertexArray=new n};no.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.paintVertexArray.length,o=this.expression.evaluate(new 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io=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return"u_"+t+"_t"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?4:2,offset:0}})),this.paintVertexArray=new a};io.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new Pi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Pi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},io.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},io.prototype._setPaintValue=function(t,e,r,n){if("color"===this.type)for(var i=to(r),a=to(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},io.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},io.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},io.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=u(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},io.prototype.getBinding=function(t,e,r){return new Ya(t,e)};var ao=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};ao.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},ao.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},ao.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var 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t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof Bi&&Yr(o.property.specification)){var s=lo(a,t.type),l=o.value,u=o.property.specification.type,c=o.property.useIntegerZoom,f=o.property.specification["property-type"],h="cross-faded"===f||"cross-faded-data-driven"===f;if("constant"===l.kind)this.binders[a]=h?new ro(l.value,s):new eo(l.value,s,u),i.push("/u_"+a);else if("source"===l.kind||h){var p=uo(a,u,"source");this.binders[a]=h?new ao(l,u,c,e,p,t.id):new no(l,s,u,p),i.push("/a_"+a)}else{var d=uo(a,u,"composite");this.binders[a]=new io(l,s,u,c,e,d),i.push("/z_"+a)}}}this.cacheKey=i.sort().join("")};oo.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof no||e instanceof io?e.maxValue:0},oo.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof no||o instanceof io||o instanceof ao)&&o.populatePaintArray(t,e,r,n,i)}},oo.prototype.setConstantPatternPositions=function(t,e){for(var r in 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i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new oo(o,r,n,t)}this.needsUpload=!1,this._featureMap=new ja,this._bufferOffset=0};function lo(t,e){return{"text-opacity":["opacity"],"icon-opacity":["opacity"],"text-color":["fill_color"],"icon-color":["fill_color"],"text-halo-color":["halo_color"],"icon-halo-color":["halo_color"],"text-halo-blur":["halo_blur"],"icon-halo-blur":["halo_blur"],"text-halo-width":["halo_width"],"icon-halo-width":["halo_width"],"line-gap-width":["gapwidth"],"line-pattern":["pattern_to","pattern_from","pixel_ratio_to","pixel_ratio_from"],"fill-pattern":["pattern_to","pattern_from","pixel_ratio_to","pixel_ratio_from"],"fill-extrusion-pattern":["pattern_to","pattern_from","pixel_ratio_to","pixel_ratio_from"]}[t]||[t.replace(e+"-","").replace(/-/g,"_")]}function uo(t,e,r){var n={color:{source:xa,composite:ba},number:{source:da,composite:xa}},i=function(t){return{"line-pattern":{source:na,composite:na},"fill-pattern":{source:na,composite:na},"fill-extrusion-pattern":{source:na,composite:na}}[t]}(t);return i&&i[r]||n[e][r]}so.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},so.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},so.prototype.get=function(t){return this.programConfigurations[t]},so.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},so.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},ni("ConstantBinder",eo),ni("CrossFadedConstantBinder",ro),ni("SourceExpressionBinder",no),ni("CrossFadedCompositeBinder",ao),ni("CompositeExpressionBinder",io),ni("ProgramConfiguration",oo,{omit:["_buffers"]}),ni("ProgramConfigurationSet",so);var co=8192;var fo,ho=(fo=15,{min:-1*Math.pow(2,fo-1),max:Math.pow(2,fo-1)-1});function po(t){for(var e=co/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var i=r[n],a=0;a<i.length;a++){var o=i[a];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<ho.min||o.x>ho.max||o.y<ho.min||o.y>ho.max)&&(w("Geometry exceeds allowed extent, reduce your vector tile buffer size"),o.x=u(o.x,ho.min,ho.max),o.y=u(o.y,ho.min,ho.max))}return r}function vo(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)}var go=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return 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u=t.readVarint();n=7&u,i=u>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error("unknown command "+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Hs.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,u=-1/0;t.pos<e;){if(n<=0){var c=t.readVarint();r=7&c,n=c>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>u&&(u=a);else if(7!==r)throw new Error("unknown command "+r)}return[o,l,s,u]},Hs.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),u=Hs.types[this.type];function c(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];c(l=f);break;case 2:for(n=0;n<l.length;n++)c(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Gs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)c(l[n][i])}1===l.length?l=l[0]:u="Multi"+u;var h={type:"Feature",geometry:{type:u,coordinates:l},properties:this.properties};return"id"in this&&(h.id=this.id),h};var Zs=Ys;function Ys(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ws,this,e),this.length=this._features.length}function Ws(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Xs(t,e,r){if(3===t){var n=new Zs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ys.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error("feature index out of bounds");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Vs(this._pbf,e,this.extent,this._keys,this._values)};var Js={VectorTile:function(t,e){this.layers=t.readFields(Xs,{},e)},VectorTileFeature:Vs,VectorTileLayer:Zs},Ks=Js.VectorTileFeature.types,$s=Math.pow(2,13);function Qs(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*$s)+o,i*$s*2,a*$s*2,Math.round(s))}var tl=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ea,this.indexArray=new fa,this.programConfigurations=new so(Us,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function el(t,e){return t.x===e.x&&(t.x<0||t.x>co)||t.y===e.y&&(t.y<0||t.y>co)}tl.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=zs("fill-extrusion",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:c?po(o):[]};if(this.layers[0]._featureFilter.filter(new Pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:po(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(Rs("fill-extrusion",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},tl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},tl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},tl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},tl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},tl.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Us),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},tl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},tl.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Is(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>co}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>co}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!el(y,m)){f.vertexLength+4>Oa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),Qs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),Qs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,Qs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),Qs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>Oa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),"Polygon"===Ks[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Qs(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=es(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}var O;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},ni("FillExtrusionBucket",tl,{omit:["layers","features"]});var rl={paint:new Gi({"fill-extrusion-opacity":new ji(Dt["paint_fill-extrusion"]["fill-extrusion-opacity"]),"fill-extrusion-color":new Ui(Dt["paint_fill-extrusion"]["fill-extrusion-color"]),"fill-extrusion-translate":new ji(Dt["paint_fill-extrusion"]["fill-extrusion-translate"]),"fill-extrusion-translate-anchor":new ji(Dt["paint_fill-extrusion"]["fill-extrusion-translate-anchor"]),"fill-extrusion-pattern":new Vi(Dt["paint_fill-extrusion"]["fill-extrusion-pattern"]),"fill-extrusion-height":new Ui(Dt["paint_fill-extrusion"]["fill-extrusion-height"]),"fill-extrusion-base":new Ui(Dt["paint_fill-extrusion"]["fill-extrusion-base"]),"fill-extrusion-vertical-gradient":new ji(Dt["paint_fill-extrusion"]["fill-extrusion-vertical-gradient"])})},nl=function(t){function e(e){t.call(this,e,rl)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new tl(t)},e.prototype.queryRadius=function(){return Lo(this.paint.get("fill-extrusion-translate"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Co(t,this.paint.get("fill-extrusion-translate"),this.paint.get("fill-extrusion-translate-anchor"),o.angle,s),c=this.paint.get("fill-extrusion-height").evaluate(e,r),f=this.paint.get("fill-extrusion-base").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];No(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,P/I);z.z=O/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;xo(r,e)&&(n=al(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];yo(r,f)&&(n=Math.min(n,al(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Yi);function il(t,e){return t.x*e.x+t.y*e.y}function al(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),u=o.sub(i),c=il(s,s),f=il(s,l),h=il(l,l),p=il(u,s),d=il(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var ol=Ki([{name:"a_pos_normal",components:2,type:"Int16"},{name:"a_data",components:4,type:"Uint8"}],4).members,sl=Js.VectorTileFeature.types,ll=Math.cos(Math.PI/180*37.5),ul=Math.pow(2,14)/.5,cl=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new ra,this.indexArray=new fa,this.programConfigurations=new so(ol,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};cl.prototype.populate=function(t,e,r){this.hasPattern=zs("line",this.layers,e);for(var n=this.layers[0].layout.get("line-sort-key"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:u,properties:l.properties,geometry:h?po(l):[]};if(this.layers[0]._featureFilter.filter(new Pi(this.zoom),p,r)){h||(p.geometry=po(l));var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:p.geometry,patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=Rs("line",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},cl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},cl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},cl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},cl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},cl.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ol),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},cl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},cl.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get("line-join").evaluate(t,{}),s=a.get("line-cap"),l=a.get("line-miter-limit"),u=a.get("line-round-limit"),c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},cl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty("mapbox_clip_start")&&e.properties.hasOwnProperty("mapbox_clip_end")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s="Polygon"===sl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){"bevel"===r&&(i=1.05);var c,f=this.overscaling<=16?15*co/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<ll&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?"butt":n;if(S&&"round"===E&&(_<a?E="miter":_<=2&&(E="fakeround")),"miter"===E&&_>i&&(E="bevel"),"bevel"===E&&(_>2&&(E="flipbevel"),_<i&&(E="miter")),p&&this.updateDistance(p,c),"miter"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if("flipbevel"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if("bevel"===E||"fakeround"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),"fakeround"===E)for(var I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if("butt"===E)this.addCurrentVertex(c,m,0,0,h);else if("square"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else"round"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},cl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,u=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,u,a,!0,-n,i),this.distance>ul/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},cl.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,u=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&u)<<2,u>>6);var c=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,c),o.primitiveLength++),i?this.e2=c:this.e1=c},cl.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(ul-1):this.distance},cl.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},ni("LineBucket",cl,{omit:["layers","patternFeatures"]});var fl=new Gi({"line-cap":new 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new Pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=f({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ui),dl=new pl(hl.paint.properties["line-width"].specification);dl.useIntegerZoom=!0;var vl=function(t){function e(e){t.call(this,e,hl)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){"line-gradient"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var 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n=this.pos-r;n>=128&&Dl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,El.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,zl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Rl,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,Nl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Fl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,Bl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,jl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Ul,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Vl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Hl,e)},writeBytesField:function(t,e){this.writeTag(t,El.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,El.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,El.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,El.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,El.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,El.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,El.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,El.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,El.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,El.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var Yl=3;function Wl(t,e,r){1===t&&r.readMessage(Xl,e)}function Xl(t,e,r){if(3===t){var n=r.readMessage(Jl,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Yo({width:o+2*Yl,height:s+2*Yl},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function Jl(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var Kl=Yl;function $l(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,u=0,c=t;u<c.length;u+=1)for(var f=c[u],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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Wo({width:o||1,height:s||1});for(var u in t){var c=t[u],f=r[u].paddedRect;Wo.copy(c.data,l,{x:0,y:0},{x:f.x+Ql,y:f.y+Ql},c.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,v=d.x+Ql,g=d.y+Ql,y=p.data.width,m=p.data.height;Wo.copy(p.data,l,{x:0,y:0},{x:v,y:g},p.data),Wo.copy(p.data,l,{x:0,y:m-1},{x:v,y:g-1},{width:y,height:1}),Wo.copy(p.data,l,{x:0,y:0},{x:v,y:g+m},{width:y,height:1}),Wo.copy(p.data,l,{x:y-1,y:0},{x:v-1,y:g},{width:1,height:m}),Wo.copy(p.data,l,{x:0,y:0},{x:v+y,y:g},{width:1,height:m})}this.image=l,this.iconPositions=r,this.patternPositions=n};ru.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2*Ql,h:i.data.height+2*Ql};r.push(a),e[n]=new tu(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},ru.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},ru.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},ni("ImagePosition",tu),ni("ImageAtlas",ru);var nu={horizontal:1,vertical:2,horizontalOnly:3},iu=-17;var au=function(){this.scale=1,this.fontStack="",this.imageName=null};au.forText=function(t,e){var r=new au;return r.scale=t||1,r.fontStack=e,r},au.forImage=function(t){var e=new au;return e.imageName=t,e};var ou=function(){this.text="",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function su(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=ou.fromFeature(t,i);f===nu.vertical&&y.verticalizePunctuation();var m=Ci.processBidirectionalText,x=Ci.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),vu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new ou;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,vu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new ou;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,vu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=iu,d=0,v=0,g="right"===s?1:"left"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*kl,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,O=null,I=null,D=kl,z=!(l===nu.horizontal||!c&&!hi(L)||c&&(lu[L]||di(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*kl/f,P={width:F[0],height:F[1],left:Ql,top:-Kl,advance:z?F[1]:F[0]},C=w+(kl-F[1]*S.scale),D=P.advance;var B=z?F[0]*S.scale-kl*_:F[1]*S.scale-kl*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*kl}z?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=D*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==k.length){var H=h-u;d=Math.max(H,d),yu(k,0,k.length-1,g,A)}h=0;var q=a*_+A;T.lineOffset=Math.max(A,w),p+=q,v=Math.max(q,v),++y}else p+=a,++y}var G=p-iu,Z=gu(o),Y=Z.horizontalAlign,W=Z.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-iu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,W,d,v,a,G,i.length),t.top+=-W*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}ou.fromFeature=function(t,e){for(var r=new ou,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},ou.prototype.length=function(){return this.text.length},ou.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},ou.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},ou.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},ou.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e="",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&pi(n)&&!Tl[t[r+1]]||i&&pi(i)&&!Tl[t[r-1]]||!Tl[t[r]]?e+=t[r]:e+=Tl[t[r]]}return e}(this.text)},ou.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&lu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&lu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},ou.prototype.substring=function(t,e){var r=new ou;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},ou.prototype.toString=function(){return this.text},ou.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},ou.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(au.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},ou.prototype.addImageSection=function(t){var e=t.image?t.image.name:"";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(au.forImage(e)),this.sectionIndex.push(this.sections.length-1)):w("Reached maximum number of images 6401")}else w("Can't add FormattedSection with an empty image.")},ou.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var lu={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},uu={};function cu(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*kl/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function fu(t,e,r,n){var i=Math.pow(t-e,2);return n?t<e?i/2:2*i:i+Math.abs(r)*r}function hu(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function pu(t,e,r,n,i,a){for(var o=null,s=fu(e,r,i,a),l=0,u=n;l<u.length;l+=1){var c=u[l],f=fu(e-c.x,r,i,a)+c.badness;f<=s&&(o=c,s=f)}return{index:t,x:e,priorBreak:o,badness:s}}function du(t){return t?du(t.priorBreak).concat(t.index):[]}function vu(t,e,r,n,i,a,o){if("point"!==a)return[];if(!t)return[];for(var s=[],l=function(t,e,r,n,i,a){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=cu(t.getCharCode(s),l,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,o),u=t.text.indexOf("​")>=0,c=0,f=0;f<t.length();f++){var h=t.getSection(f),p=t.getCharCode(f);if(lu[p]||(c+=cu(p,h,n,i,e,o)),f<t.length()-1){var d=!((v=p)<11904||!(ci["Bopomofo Extended"](v)||ci.Bopomofo(v)||ci["CJK Compatibility Forms"](v)||ci["CJK Compatibility Ideographs"](v)||ci["CJK Compatibility"](v)||ci["CJK Radicals Supplement"](v)||ci["CJK Strokes"](v)||ci["CJK Symbols and Punctuation"](v)||ci["CJK Unified Ideographs Extension A"](v)||ci["CJK Unified Ideographs"](v)||ci["Enclosed CJK Letters and Months"](v)||ci["Halfwidth and Fullwidth Forms"](v)||ci.Hiragana(v)||ci["Ideographic Description Characters"](v)||ci["Kangxi Radicals"](v)||ci["Katakana Phonetic Extensions"](v)||ci.Katakana(v)||ci["Vertical Forms"](v)||ci["Yi Radicals"](v)||ci["Yi Syllables"](v)));(uu[p]||d||h.imageName)&&s.push(pu(f+1,c,l,s,hu(p,t.getCharCode(f+1),d&&u),!1))}}var v;return du(pu(t.length(),c,l,s,0,!0))}function gu(t){var e=.5,r=.5;switch(t){case"right":case"top-right":case"bottom-right":e=1;break;case"left":case"top-left":case"bottom-left":e=0}switch(t){case"bottom":case"bottom-right":case"bottom-left":r=1;break;case"top":case"top-right":case"top-left":r=0}return{horizontalAlign:e,verticalAlign:r}}function yu(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function mu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;"width"===r||"both"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return"height"===r||"both"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}uu[10]=!0,uu[32]=!0,uu[38]=!0,uu[40]=!0,uu[41]=!0,uu[43]=!0,uu[45]=!0,uu[47]=!0,uu[173]=!0,uu[183]=!0,uu[8203]=!0,uu[8208]=!0,uu[8211]=!0,uu[8231]=!0;var xu=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new 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fa,this.programConfigurations=t,this.segments=new Oa,this.dynamicLayoutVertexArray=new aa,this.opacityVertexArray=new oa,this.placedSymbolArray=new ka};ac.prototype.isEmpty=function(){return 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e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=_u(this.zoom,e["text-size"]),this.iconSizeData=_u(this.zoom,e["icon-size"]);var r=this.layers[0].layout,n=r.get("symbol-sort-key"),i=r.get("symbol-z-order");this.sortFeaturesByKey="viewport-y"!==i&&void 0!==n.constantOr(1);var a="viewport-y"===i||"auto"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get("text-allow-overlap")||r.get("icon-allow-overlap")||r.get("text-ignore-placement")||r.get("icon-ignore-placement")),"point"===r.get("symbol-placement")&&(this.writingModes=r.get("text-writing-mode").map((function(t){return nu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};sc.prototype.createArrays=function(){this.text=new ac(new so(yl.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new ac(new so(yl.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Sa,this.lineVertexArray=new Ea,this.symbolInstances=new Ma},sc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=Tl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},sc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get("text-font"),o=i.get("text-field"),s=i.get("icon-image"),l=("constant"!==o.value.kind||o.value.value instanceof ue&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&("constant"!==a.value.kind||a.value.value.length>0),u="constant"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get("symbol-sort-key");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Pi(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:m.type,id:x,properties:m.properties,geometry:w?po(m):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=po(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens("text-field",T,r,p),M=ue.factory(A);ic(M)&&(this.hasRTLText=!0),(!this.hasRTLText||"unavailable"===Ei()||this.hasRTLText&&Ci.isParsed())&&(k=wl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens("icon-image",T,r,p);S=E instanceof ce?E:ce.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:po(m),properties:m.properties,type:tc[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(","),O="map"===i.get("text-rotation-alignment")&&"point"!==i.get("symbol-placement");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(nu.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=fi(k.toString()),F=z.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,O,this.allowVerticalPlacement,R)}}}}}}"line"===i.get("symbol-placement")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+":"+n.x+":"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},sc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},sc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},sc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},sc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},sc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},sc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},sc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},sc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===nu.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,D=C[1];rc(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,P,M.x,M.y,E,L),rc(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),rc(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),rc(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),nc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},sc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},sc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},sc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},sc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new oc(la,bl.members,ya),this.iconCollisionBox=new oc(la,bl.members,ya);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},sc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},sc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},sc.prototype.hasTextData=function(){return this.text.segments.get().length>0},sc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},sc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},sc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},sc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},sc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},sc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},sc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},sc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},ni("SymbolBucket",sc,{omit:["layers","collisionBoxArray","features","compareText"]}),sc.MAX_GLYPHS=65535,sc.addDynamicAttributes=nc;var lc=new Gi({"symbol-placement":new ji(Dt.layout_symbol["symbol-placement"]),"symbol-spacing":new ji(Dt.layout_symbol["symbol-spacing"]),"symbol-avoid-edges":new ji(Dt.layout_symbol["symbol-avoid-edges"]),"symbol-sort-key":new Ui(Dt.layout_symbol["symbol-sort-key"]),"symbol-z-order":new ji(Dt.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new ji(Dt.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new ji(Dt.layout_symbol["icon-ignore-placement"]),"icon-optional":new ji(Dt.layout_symbol["icon-optional"]),"icon-rotation-alignment":new ji(Dt.layout_symbol["icon-rotation-alignment"]),"icon-size":new Ui(Dt.layout_symbol["icon-size"]),"icon-text-fit":new ji(Dt.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new ji(Dt.layout_symbol["icon-text-fit-padding"]),"icon-image":new Ui(Dt.layout_symbol["icon-image"]),"icon-rotate":new Ui(Dt.layout_symbol["icon-rotate"]),"icon-padding":new ji(Dt.layout_symbol["icon-padding"]),"icon-keep-upright":new ji(Dt.layout_symbol["icon-keep-upright"]),"icon-offset":new Ui(Dt.layout_symbol["icon-offset"]),"icon-anchor":new Ui(Dt.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new ji(Dt.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new ji(Dt.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new ji(Dt.layout_symbol["text-rotation-alignment"]),"text-field":new Ui(Dt.layout_symbol["text-field"]),"text-font":new Ui(Dt.layout_symbol["text-font"]),"text-size":new Ui(Dt.layout_symbol["text-size"]),"text-max-width":new Ui(Dt.layout_symbol["text-max-width"]),"text-line-height":new ji(Dt.layout_symbol["text-line-height"]),"text-letter-spacing":new Ui(Dt.layout_symbol["text-letter-spacing"]),"text-justify":new Ui(Dt.layout_symbol["text-justify"]),"text-radial-offset":new Ui(Dt.layout_symbol["text-radial-offset"]),"text-variable-anchor":new ji(Dt.layout_symbol["text-variable-anchor"]),"text-anchor":new Ui(Dt.layout_symbol["text-anchor"]),"text-max-angle":new ji(Dt.layout_symbol["text-max-angle"]),"text-writing-mode":new ji(Dt.layout_symbol["text-writing-mode"]),"text-rotate":new Ui(Dt.layout_symbol["text-rotate"]),"text-padding":new ji(Dt.layout_symbol["text-padding"]),"text-keep-upright":new ji(Dt.layout_symbol["text-keep-upright"]),"text-transform":new Ui(Dt.layout_symbol["text-transform"]),"text-offset":new Ui(Dt.layout_symbol["text-offset"]),"text-allow-overlap":new ji(Dt.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new ji(Dt.layout_symbol["text-ignore-placement"]),"text-optional":new ji(Dt.layout_symbol["text-optional"])}),uc={paint:new Gi({"icon-opacity":new Ui(Dt.paint_symbol["icon-opacity"]),"icon-color":new Ui(Dt.paint_symbol["icon-color"]),"icon-halo-color":new Ui(Dt.paint_symbol["icon-halo-color"]),"icon-halo-width":new Ui(Dt.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Ui(Dt.paint_symbol["icon-halo-blur"]),"icon-translate":new ji(Dt.paint_symbol["icon-translate"]),"icon-translate-anchor":new ji(Dt.paint_symbol["icon-translate-anchor"]),"text-opacity":new Ui(Dt.paint_symbol["text-opacity"]),"text-color":new Ui(Dt.paint_symbol["text-color"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Ui(Dt.paint_symbol["text-halo-color"]),"text-halo-width":new Ui(Dt.paint_symbol["text-halo-width"]),"text-halo-blur":new Ui(Dt.paint_symbol["text-halo-blur"]),"text-translate":new ji(Dt.paint_symbol["text-translate"]),"text-translate-anchor":new ji(Dt.paint_symbol["text-translate-anchor"])}),layout:lc},cc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Vt,this.defaultValue=t};cc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},cc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},cc.prototype.outputDefined=function(){return!1},cc.prototype.serialize=function(){return null},ni("FormatSectionOverride",cc,{omit:["defaultValue"]});var fc=function(t){function e(e){t.call(this,e,uc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values["text-writing-mode"]=i}else this.layout._values["text-writing-mode"]=["horizontal"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||sn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):""}))}(e.properties,i)},e.prototype.createBucket=function(t){return new sc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=uc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new cc(a),s=new on(o,a.property.specification);i="constant"===a.value.kind||"source"===a.value.kind?new un("source",s):new cn("composite",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Bi(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get("text-field"),n=uc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if("constant"===r.value.kind&&r.value.value instanceof ue)a(r.value.value.sections);else if("source"===r.value.kind){var o=function(t){if(!i)if(t instanceof ve&&pe(t.value)===Jt){var e=t.value;a(e.sections)}else t instanceof xe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Yi),hc={paint:new Gi({"background-color":new ji(Dt.paint_background["background-color"]),"background-pattern":new Hi(Dt.paint_background["background-pattern"]),"background-opacity":new ji(Dt.paint_background["background-opacity"])})},pc=function(t){function e(e){t.call(this,e,hc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yi),dc={paint:new Gi({"raster-opacity":new ji(Dt.paint_raster["raster-opacity"]),"raster-hue-rotate":new ji(Dt.paint_raster["raster-hue-rotate"]),"raster-brightness-min":new ji(Dt.paint_raster["raster-brightness-min"]),"raster-brightness-max":new ji(Dt.paint_raster["raster-brightness-max"]),"raster-saturation":new ji(Dt.paint_raster["raster-saturation"]),"raster-contrast":new ji(Dt.paint_raster["raster-contrast"]),"raster-resampling":new ji(Dt.paint_raster["raster-resampling"]),"raster-fade-duration":new ji(Dt.paint_raster["raster-fade-duration"])})},vc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yi);var gc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return"3d"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Yi),yc={circle:Uo,heatmap:Ko,hillshade:Qo,fill:js,"fill-extrusion":nl,line:vl,symbol:fc,background:pc,raster:vc};var mc=self.HTMLImageElement,xc=self.HTMLCanvasElement,bc=self.HTMLVideoElement,_c=self.ImageData,wc=self.ImageBitmap,Tc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Tc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Tc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Tc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Tc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var kc=function(t){var e=this;this._callback=t,this._triggered=!1,"undefined"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};kc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},kc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Ac=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g(["receive","process"],this),this.invoker=new kc(this.process),this.target.addEventListener("message",this.receive,!1),this.globalScope=A()?t:self};function Mc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Ac.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=E(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:si(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:"<cancel>",targetMapId:n,sourceMapId:a.mapId})}}},Ac.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if("<cancel>"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else A()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Ac.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Ac.prototype.processTask=function(t,e){var r=this;if("<response>"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(li(e.error)):n(null,li(e.data)))}else{var i=!1,a=E(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"<response>",sourceMapId:r.mapId,error:e?si(e):null,data:si(n,a)},a)}:function(t){i=!0},s=null,l=li(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Ac.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var Sc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Sc.prototype.setNorthEast=function(t){return this._ne=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.setSouthWest=function(t){return this._sw=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Lc)e=t,r=t;else{if(!(t instanceof Sc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Sc.convert(a))}var o=t;return this.extend(Lc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Lc(e.lng,e.lat),this._ne=new Lc(r.lng,r.lat)),this},Sc.prototype.getCenter=function(){return new Lc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Sc.prototype.getSouthWest=function(){return this._sw},Sc.prototype.getNorthEast=function(){return this._ne},Sc.prototype.getNorthWest=function(){return new Lc(this.getWest(),this.getNorth())},Sc.prototype.getSouthEast=function(){return new Lc(this.getEast(),this.getSouth())},Sc.prototype.getWest=function(){return this._sw.lng},Sc.prototype.getSouth=function(){return this._sw.lat},Sc.prototype.getEast=function(){return this._ne.lng},Sc.prototype.getNorth=function(){return this._ne.lat},Sc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Sc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Sc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Sc.prototype.contains=function(t){var e=Lc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Sc.convert=function(t){return!t||t instanceof Sc?t:new Sc(t)};var Ec=6371008.8,Lc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Lc.prototype.wrap=function(){return new Lc(c(this.lng,-180,180),this.lat)},Lc.prototype.toArray=function(){return[this.lng,this.lat]},Lc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Lc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ec*Math.acos(Math.min(i,1))},Lc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Sc(new Lc(this.lng-r,this.lat-e),new Lc(this.lng+r,this.lat+e))},Lc.convert=function(t){if(t instanceof Lc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Lc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Lc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]")};var Cc=2*Math.PI*Ec;function Pc(t){return Cc*Math.cos(t*Math.PI/180)}function Oc(t){return(180+t)/360}function Ic(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Dc(t,e){return t/Pc(e)}function zc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Rc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Rc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Lc.convert(t);return new Rc(Oc(r.lng),Ic(r.lat),Dc(e,r.lat))},Rc.prototype.toLngLat=function(){return new Lc(360*this.x-180,zc(this.y))},Rc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Pc(zc(e));var t,e},Rc.prototype.meterInMercatorCoordinateUnits=function(){return 1/Cc*(t=zc(this.y),1/Math.cos(t*Math.PI/180));var t};var Fc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=jc(0,t,t,e,r)};Fc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Fc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Mc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Mc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace("{prefix}",(this.x%16).toString(16)+(this.y%16).toString(16)).replace("{z}",String(this.z)).replace("{x}",String(this.x)).replace("{y}",String("tms"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace("{quadkey}",l).replace("{bbox-epsg-3857}",s)},Fc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*co,(t.y*e-this.y)*co)},Fc.prototype.toString=function(){return this.z+"/"+this.x+"/"+this.y};var Bc=function(t,e){this.wrap=t,this.canonical=e,this.key=jc(t,e.z,e.z,e.x,e.y)},Nc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Fc(r,+n,+i),this.key=jc(e,t,r,n,i)};function jc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Nc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Nc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Nc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Nc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Nc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?jc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):jc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Nc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Nc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Nc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Nc(e,this.wrap,e,r,n),new Nc(e,this.wrap,e,r+1,n),new Nc(e,this.wrap,e,r,n+1),new Nc(e,this.wrap,e,r+1,n+1)]},Nc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Nc.prototype.wrapped=function(){return new Nc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.unwrapTo=function(t){return new Nc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Nc.prototype.toUnwrapped=function(){return new Bc(this.wrap,this.canonical)},Nc.prototype.toString=function(){return this.overscaledZ+"/"+this.canonical.x+"/"+this.canonical.y},Nc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Rc(t.x-this.wrap,t.y))},ni("CanonicalTileID",Fc),ni("OverscaledTileID",Nc,{omit:["posMatrix"]});var Uc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError("DEM tiles must be square");if(r&&"mapbox"!==r&&"terrarium"!==r)return w('"'+r+'" is not a valid encoding type. Valid types include "mapbox" and "terrarium".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||"mapbox";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Uc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return("terrarium"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Uc.prototype.getUnpackVector=function(){return"terrarium"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Uc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},Uc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Uc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Uc.prototype.getPixels=function(){return new Wo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Uc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},ni("DEMData",Uc);var Vc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Vc.prototype.encode=function(t){return this._stringToNumber[t]},Vc.prototype.decode=function(t){return this._numberToString[t]};var Hc=function(t,e,r,n,i){this.type="Feature",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},qc={geometry:{configurable:!0}};qc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},qc.geometry.set=function(t){this._geometry=t},Hc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)"_geometry"!==e&&"_vectorTileFeature"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Hc.prototype,qc);var Gc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Gc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},f(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Gc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Gc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=f({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Gc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Gc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),f(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,h=Object.keys(this.deletedStates[o][u]);c<h.length;c+=1){var p=h[c];delete this.state[o][u][p]}s[u]=this.state[o][u]}r[o]=r[o]||{},f(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Zc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Kn(co,16,0),this.grid3D=new Kn(co,16,0),this.featureIndexArray=new Ca,this.promoteId=e};function Yc(t,e,r,n,i){return m(t,(function(t,a){var o=e instanceof Ni?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Wc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function Xc(t,e){return e-t}Zc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<co&&c[1]<co&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Zc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Js.VectorTile(new Sl(this.rawTileData)).layers,this.sourceLayerCoder=new Vc(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},Zc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=co/t.tileSize/t.scale,l=wn(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Wc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Wc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Mo(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(So(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(Xc);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=po(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Zc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new Pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),v=0;v<f.length;v++){var g=f[v];if(!(a&&a.indexOf(g)<0)){var y=s[g];if(y){var m={};void 0!==d&&u&&(m=u.getState(y.sourceLayer||"_geojsonTileLayer",d));var x=l[g];x.paint=Yc(x.paint,y.paint,p,m,o),x.layout=Yc(x.layout,y.layout,p,m,o);var b=!c||c(p,y,m);if(b){var _=new Hc(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Zc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=wn(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Zc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Zc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n="string"==typeof this.promoteId?this.promoteId:this.promoteId[e];"boolean"==typeof(r=t.properties[n])&&(r=Number(r))}return r},ni("FeatureIndex",Zc,{omit:["rawTileData","sourceLayerCoder"]});var Jc=function(t,e){this.tileID=t,this.uid=p(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state="loading"};Jc.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<F.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},Jc.prototype.wasRequested=function(){return"errored"===this.state||"loaded"===this.state||"reloading"===this.state},Jc.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state="loaded",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof sc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof sc&&o.hasRTLText){this.hasRTLText=!0,Ci.isLoading()||Ci.isLoaded()||"deferred"!==Ei()||Li();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new wa},Jc.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state="unloaded"},Jc.prototype.getBucket=function(t){return this.buckets[t.id]},Jc.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Tc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Tc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},Jc.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},Jc.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},Jc.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:"",a=n._geojsonTileLayer||n[i];if(a)for(var o=wn(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new Pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),v=new Hc(p,l,u,c,d);v.tile=f,t.push(v)}}}},Jc.prototype.hasData=function(){return"loaded"===this.state||"reloading"===this.state||"expired"===this.state},Jc.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Jc.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r["max-age"]&&(this.expirationTime=Date.now()+1e3*r["max-age"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state="expired"):this.expiredRequestCount=0}},Jc.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},Jc.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||"_geojsonTileLayer",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},Jc.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},Jc.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<F.now()},Jc.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Jc.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=F.now()+t},Jc.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},Jc.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var Kc=self.performance,$c=function(t){this._marks={start:[t.url,"start"].join("#"),end:[t.url,"end"].join("#"),measure:t.url.toString()},Kc.mark(this._marks.start)};$c.prototype.finish=function(){Kc.mark(this._marks.end);var t=Kc.getEntriesByName(this._marks.measure);return 0===t.length&&(Kc.measure(this._marks.measure,this._marks.start,this._marks.end),t=Kc.getEntriesByName(this._marks.measure),Kc.clearMarks(this._marks.start),Kc.clearMarks(this._marks.end),Kc.clearMeasures(this._marks.measure)),t},t.Actor=Ac,t.AlphaImage=Yo,t.CanonicalTileID=Fc,t.CollisionBoxArray=wa,t.Color=oe,t.DEMData=Uc,t.DataConstantProperty=ji,t.DictionaryCoder=Vc,t.EXTENT=co,t.ErrorEvent=Ot,t.EvaluationParameters=Pi,t.Event=Pt,t.Evented=It,t.FeatureIndex=Zc,t.FillBucket=Fs,t.FillExtrusionBucket=tl,t.ImageAtlas=ru,t.ImagePosition=tu,t.LineBucket=cl,t.LngLat=Lc,t.LngLatBounds=Sc,t.MercatorCoordinate=Rc,t.ONE_EM=kl,t.OverscaledTileID=Nc,t.Point=a,t.Point$1=a,t.Properties=Gi,t.Protobuf=Sl,t.RGBAImage=Wo,t.RequestManager=q,t.RequestPerformance=$c,t.ResourceType=xt,t.SegmentVector=Oa,t.SourceFeatureState=Gc,t.StructArrayLayout1ui2=ma,t.StructArrayLayout2f1f2i16=ua,t.StructArrayLayout2i4=Qi,t.StructArrayLayout3ui6=fa,t.StructArrayLayout4i8=ta,t.SymbolBucket=sc,t.Texture=Tc,t.Tile=Jc,t.Transitionable=Di,t.Uniform1f=Ya,t.Uniform1i=Za,t.Uniform2f=Wa,t.Uniform3f=Xa,t.Uniform4f=Ja,t.UniformColor=Ka,t.UniformMatrix4f=Qa,t.UnwrappedTileID=Bc,t.ValidationError=zt,t.WritingMode=nu,t.ZoomHistory=ui,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=nc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=s,t.bindAll=g,t.browser=F,t.cacheEntryPossiblyAdded=function(t){++yt>ct&&(t.getActor().send("enforceCacheSizeLimit",ut),yt=0)},t.clamp=u,t.clearTileCache=function(t){var e=self.caches.delete(lt);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Ou,t.clone=function(t){var e=new Io(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=b,t.clone$2=function(t){var e=new Io(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=_l,t.config=B,t.create=function(){var t=new Io(16);return Io!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Io(9);return Io!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Io(4);return Io!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=ln,t.createLayout=Ki,t.createStyleLayer=function(t){return"custom"===t.type?new gc(t):new yc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if("object"==typeof e&&null!==e&&null!==r){if("object"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return e===r},t.dot=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]},t.dot$1=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]},t.ease=l,t.emitValidationErrors=Jn,t.endsWith=y,t.enforceCacheSizeLimit=function(t){ht(),tt&&tt.then((function(e){e.keys().then((function(r){for(var n=0;n<r.length-t;n++)e.delete(r[n])}))}))},t.evaluateSizeForFeature=wu,t.evaluateSizeForZoom=Tu,t.evaluateVariableOffset=Yu,t.evented=Si,t.extend=f,t.featureFilter=wn,t.filterObject=x,t.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},t.getAnchorAlignment=gu,t.getAnchorJustification=Wu,t.getArrayBuffer=kt,t.getImage=Et,t.getJSON=function(t,e){return Tt(f(t,{type:"json"}),e)},t.getRTLTextPluginStatus=Ei,t.getReferrer=_t,t.getVideo=function(t,e){var r,n,i=self.document.createElement("video");i.muted=!0,i.onloadstart=function(){e(null,i)};for(var a=0;a<t.length;a++){var o=self.document.createElement("source");r=t[a],n=void 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be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else"Feature"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd("preprocess data"),console.log("index: maxZoom: %d, maxPoints: %d",e.indexMaxZoom,e.indexMaxPoints),console.time("generate tiles"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log("features: %d, points: %d",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd("generate tiles"),console.log("tiles generated:",this.total,JSON.stringify(this.stats)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time("total time");var o="prepare "+t.length+" points";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(q(t[l],l));this.trees[i+1]=new j(s,J,K,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,J,K,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",u,s.length,+Date.now()-c)}return r&&console.timeEnd("total time"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),W(a),Y(i),W(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n="No cluster with the specified id.",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?Z(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var u=t[l];if(!(u.zoom<=e)){u.zoom=e;for(var c=this.trees[e+1],f=c.within(u.x,u.y,s),h=u.numPoints||1,p=u.x*h,d=u.y*h,v=o&&h>1?this._map(u,!0):null,g=(l<<5)+(e+1)+this.points.length,y=0,m=f;y<m.length;y+=1){var x=m[y],b=c.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(v||(v=this._map(u,!0)),o(v,this._map(b)))}}1===h?r.push(u):(u.parentId=g,r.push(H(p/h,d/h,g,h,v)))}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time("creation"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time("clipping");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd("clipping"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",u,c,f),a>1&&console.time("drilling down"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u<c.length;u+=1){var f=c[u],h=n[f],p=h[0],d=h[1],v=t.createExpression(d),g=t.createExpression("string"==typeof p?[p,["accumulated"],["get",f]]:p);i[f]=v.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){"Coalescing"===this._state?this._state="Idle":"NeedsLoadData"===this._state&&(this._state="Coalescing",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if("string"!=typeof e.data)return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name "'+t+'" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error("RTL text plugin already registered.");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return St.prototype.setReferrer=function(t,e){this.referrer=e},St.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in i)i[a].availableImages=e}r()},St.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},St.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},St.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},St.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},St.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},St.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},St.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},St.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},St.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},St.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},St.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var i=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=i){this.self.importScripts(i);var a=t.plugin.isParsed();n(a?void 0:new Error("RTL Text Plugin failed to import scripts from "+i),a)}}catch(t){n(t.toString())}},St.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},St.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},St.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var i={send:function(e,r,i){n.actor.send(e,r,i,t)}};this.workerSources[t][e][r]=new 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u=Object.defineProperty({},"passive",{get:function(){l=!0}});t.window.addEventListener("test",u,u),t.window.removeEventListener("test",u,u)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener("click",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener("click",c,!0),t.window.setTimeout((function(){t.window.removeEventListener("click",c,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var 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this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image "'+e+'" has invalid "stretchX" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image "'+e+'" has invalid "stretchY" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image "'+e+'" has invalid "content" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event("styleimagemissing",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image "'+o+'" could not be loaded. Please make sure you have added the image with map.addImage() or a "sprite" property in your style. You can provide missing images by listening for the "styleimagemissing" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||"sans-serif",this.fontWeight=a||"normal",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement("canvas"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext("2d"),this.ctx.font=this.fontWeight+" "+this.fontSize+"px "+this.fontFamily,this.ctx.textBaseline="middle",this.ctx.fillStyle="black",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf("Gecko/")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar["CJK Unified Ideographs"](e)||t.isChar["Hangul Syllables"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o="400";/bold/i.test(r)?o="900":/medium/i.test(r)?o="500":/light/i.test(r)&&(o="200"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace("{fontstack}",e).replace("{range}",o+"-"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w="-transition",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(",")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name="Worker "+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),["tiles","minzoom","maxzoom","attribution","mapbox_logo","bounds","scheme","tileSize","encoding"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type="vector",this.minzoom=0,this.maxzoom=22,this.scheme="xyz",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,["url","scheme","tileSize","promoteId"])),this._options=t.extend({type:"vector"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error("vector tile sources must have a tileSize of 512");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&"expired"!==e.state?"loading"===e.state?e.reloadCallback=r:e.request=e.actor.send("reloadTile",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send("loadTile",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send("abortTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type="raster",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme="xyz",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:"raster"},n),t.extend(this,t.pick(n,["url","scheme","tileSize"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(i)e.state="errored",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state="loaded",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type="raster-dem",this.maxzoom=22,this._options=t.extend({type:"raster-dem"},n),this.encoding=n.encoding||"mapbox"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:"raster-dem",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state="errored",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state="loaded",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(n)e.state="errored",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&"expired"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send("loadDEMTile",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state="unloaded",t.actor&&t.actor.send("removeDEMTile",{uid:t.uid,source:this.id})},r}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type="geojson",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:"source",sourceDataType:"metadata"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state="errored",e(null))},r.prototype.serialize=function(){return{type:"image",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var D=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type="video",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener("playing",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return"number"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,"raster-dem":C,geojson:P,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&"fill-extrusion"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&"fill-extrusion"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var c=o[u],f=l[u]=l[u]||{},h=e[u]=e[u]||[],p=0,d=c;p<d.length;p+=1){var v=d[p];f[v.featureIndex]||(f[v.featureIndex]=!0,h.push(v))}}return e}(u);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer["source-layer"],r.id);r.source=r.layer.source,r.layer["source-layer"]&&(r.sourceLayer=r.layer["source-layer"]),r.state=n}));return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var U=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};U.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},U.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},U.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var V={Int8:"BYTE",Uint8:"UNSIGNED_BYTE",Int16:"SHORT",Uint16:"UNSIGNED_SHORT",Int32:"INT",Uint32:"UNSIGNED_INT",Float32:"FLOAT"},H=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};H.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},H.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},H.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},H.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[V[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},H.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var G=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(q),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(q),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(q),J=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(q),K=function(t){function e(){t.apply(this,arguments)}return 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e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),vt=function(t){function e(){t.apply(this,arguments)}return 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e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),wt=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(wt),kt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(wt),At=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new Tt(t,a),n&&(this.depthAttachment=new kt(t,a))};At.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension("OES_vertex_array_object"),this.clearColor=new G(this),this.clearDepth=new Z(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new J(this),this.stencilFunc=new K(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension("EXT_texture_filter_anisotropic")||t.getExtension("MOZ_EXT_texture_filter_anisotropic")||t.getExtension("WEBKIT_EXT_texture_filter_anisotropic"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension("OES_texture_half_float"),this.extTextureHalfFloat&&(t.getExtension("OES_texture_half_float_linear"),this.extRenderToTextureHalfFloat=t.getExtension("EXT_color_buffer_half_float")),this.extTimerQuery=t.getExtension("EXT_disjoint_timer_query")};Pt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Pt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new H(this,t,e,r)},Pt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Pt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Pt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Pt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on("data",(function(t){"source"===t.dataType&&"metadata"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&"source"===t.dataType&&"content"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on("error",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error("Expected Source id to be "+e+" instead of "+a.id);return t.bindAll(["load","abort","unload","serialize","prepare"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if("loaded"!==e.state&&"errored"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)"errored"!==this._tiles[t].state&&this._reloadTile(t,"reloading")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&("loading"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state="errored",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),"expired"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),"raster-dem"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event("data",{dataType:"source",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event("dataloading",{tile:r,coord:r.tileID,dataType:"source"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,"expired"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return"raster"===t||"image"===t||"video"===t}function zt(){return new t.window.Worker(na.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt="mapboxgl_preloaded_worker_pool",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)"ref"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)"ref"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var Ht={setStyle:"setStyle",addLayer:"addLayer",removeLayer:"removeLayer",setPaintProperty:"setPaintProperty",setLayoutProperty:"setLayoutProperty",setFilter:"setFilter",addSource:"addSource",removeSource:"removeSource",setGeoJSONSourceData:"setGeoJSONSourceData",setLayerZoomRange:"setLayerZoomRange",setLayerProperty:"setLayerProperty",setCenter:"setCenter",setZoom:"setZoom",setBearing:"setBearing",setPitch:"setPitch",setSprite:"setSprite",setGlyphs:"setGlyphs",setTransition:"setTransition",setLight:"setLight"};function qt(t,e,r){r.push({command:Ht.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:Ht.removeSource,args:[t]}),r[t]=!0}function Zt(t,e,r,n){Gt(t,r,n),qt(t,e,r)}function Yt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Wt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Xt(t){return t.id}function Jt(t,e){return t[e.id]=e,t}function Kt(e,r){if(!e)return[{command:Ht.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ht.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ht.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ht.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ht.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ht.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ht.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ht.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ht.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ht.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||("geojson"===e[a].type&&"geojson"===r[a].type&&Yt(e,r,a)?n.push({command:Ht.setGeoJSONSourceData,args:[a,r[a].data]}):Zt(a,r,n,i)):qt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ht.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Xt),h=r.map(Xt),p=e.reduce(Jt,{}),d=r.reduce(Jt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:Ht.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s["source-layer"],l["source-layer"])&&t.deepEqual(s.type,l.type)){for(c in Wt(s.layout,l.layout,n,o,null,Ht.setLayoutProperty),Wt(s.paint,l.paint,n,o,null,Ht.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ht.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ht.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&"layout"!==c&&"paint"!==c&&"filter"!==c&&"metadata"!==c&&"minzoom"!==c&&"maxzoom"!==c&&(0===c.indexOf("paint.")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&"layout"!==c&&"paint"!==c&&"filter"!==c&&"metadata"!==c&&"minzoom"!==c&&"maxzoom"!==c&&(0===c.indexOf("paint.")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:Ht.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:Ht.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn("Unable to compute style diff:",t),n=[{command:Ht.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Z=G.x+de,Y=G.y+de;d.push(Z,Y,k,0);var W=Z-k,X=Y-k,J=Z+k,K=Y+k;if(T=T&&this.isOffscreen(W,X,J,K),w=w||this.isInsideGrid(W,X,J,K),!e&&this.grid.hitTestCircle(Z,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h="map"===l.get("text-pitch-alignment"),p="map"===l.get("text-rotation-alignment"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get("text-optional"),y=s.get("icon-optional"),m=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get("text-variable-anchor")){var N=s.get("text-variable-anchor");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Z=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get("text-padding"),W=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,u,c,n,_,v.predicate,W,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=X(a.verticalIconBox)).box.length>0:(O=X(a.iconBox)).box.length>0,S=S&&O.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=y||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get("icon-ignore-placement"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:"number"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get("text-allow-overlap"),l=a.get("icon-allow-overlap"),u=a.get("text-variable-anchor"),c="map"===a.get("text-rotation-alignment"),f="map"===a.get("text-pitch-alignment"),h="none"!==a.get("icon-text-fit"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get("icon-optional")),l&&(s||!e.hasTextData()||a.get("text-optional")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var He=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return"source.canvas"!==t.identifier})))},qe=t.pick(Ht,["addLayer","removeLayer","setPaintProperty","setLayoutProperty","setFilter","addSource","removeSource","setLayerZoomRange","setLight","setTransition","setGeoJSONSourceData"]),Ge=t.pick(Ht,["setCenter","setZoom","setBearing","setPitch"]),Ze=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a="version"===n?r:"array"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast("setReferrer",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast("syncRTLPluginState",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on("data",(function(t){if("source"===t.dataType&&"metadata"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"}));var i="boolean"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event("dataloading",{dataType:"style"})),this._load(Ze,!1)},r.prototype._load=function(e,r){if(!r||!He(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast("setLayers",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event("data",{dataType:"style"})),this.fire(new t.Event("style.load"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];"custom"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error("Style is not done loading")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];"reload"===o?this._reloadSource(a):"clear"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event("data",{dataType:"style"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies(["icons","patterns"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast("updateLayers",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),He(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Kt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in qe)}));if(i.length>0)throw new Error("Unimplemented: "+i.map((function(t){return t.command})).join(", ")+".");return n.forEach((function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but the only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,"sources."+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(He(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is requred to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,"queryRenderedFeatures.filter",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error("parameters.layers must be an Array."))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error("The layer '"+s+"' does not exist in the map's style and cannot be queried for features."))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer["source-layer"],i.id);i.source=i.layer.source,i.layer["source-layer"]&&(i.sourceLayer=i.layer["source-layer"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,"querySourceFeatures.filter",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called "'+t+'" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast("loadWorkerSource",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&He(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off("pluginStateChange",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if("symbol"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];"symbol"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var We=t.createLayout([{name:"a_pos",type:"Int16",components:2}]),Xe=_r("#ifdef GL_ES\nprecision mediump float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif","#ifdef GL_ES\nprecision highp float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}"),Je=_r("uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),Ke=_r("uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}"),$e=_r("varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main(void) {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}"),Qe=_r("void main() {gl_FragColor=vec4(1.0);}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),tr=_r("uniform highp float u_intensity;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#define GAUSS_COEF 0.3989422804014327\nvoid main() {\n#pragma mapbox: initialize highp float weight\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#pragma mapbox: define mediump float radius\nconst highp float ZERO=1.0/255.0/16.0;\n#define GAUSS_COEF 0.3989422804014327\nvoid main(void) {\n#pragma mapbox: initialize highp float weight\n#pragma mapbox: initialize mediump float radius\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}"),er=_r("uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(0.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}"),rr=_r("varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),nr=_r("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),ir=_r("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),ar=_r("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),or=_r("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),sr=_r("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),lr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),ur=_r("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),cr=_r("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),fr=_r("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),hr=_r("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),pr=_r("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),dr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define MAX_LINE_DISTANCE 32767.0\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),vr=_r("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),gr=_r("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),yr=_r("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=_r("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),xr=_r("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),br=_r("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function _r(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o="float"===i?"vec2":"vec4",s=a.match(/color/)?"color":o;return n[a]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"}))}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:Je,backgroundPattern:Ke,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var kr=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push("#define OVERDRAW_INSPECTOR;");var s=o.concat(Xe.fragmentSource,e.fragmentSource).join("\n"),l=o.concat(Xe.vertexSource,e.vertexSource).join("\n"),u=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,s),a.compileShader(u),a.attachShader(this.program,u);var c=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,l),a.compileShader(c),a.attachShader(this.program,c);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(c),a.deleteShader(u),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var v=a.getActiveAttrib(this.program,d);v&&(this.attributes[v.name]=a.getAttribLocation(this.program,v.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),y=0;y<g;y++){var m=a.getActiveUniform(this.program,y);m&&(p[m.name]=a.getUniformLocation(this.program,m.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function Ar(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}kr.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Mr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Sr=function(e,r,n,i,a,o,s){return t.extend(Mr(e,r,n,i),Ar(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Er=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Er(e),Ar(n,r,i))},Cr=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},Or=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===i.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get("circle-translate"),i.paint.get("circle-translate-anchor")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Ir=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},zr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Rr=function(t){return{u_matrix:t}},Fr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Br=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}},Nr=function(e,r,n){var i=n.paint.get("hillshade-shadow-color"),a=n.paint.get("hillshade-highlight-color"),o=n.paint.get("hillshade-accent-color"),s=n.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===n.paint.get("hillshade-illumination-anchor")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get("hillshade-exaggeration"),s],u_shadow:i,u_highlight:a,u_accent:o}},jr=function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}};var Ur=function(e,r,n){var i=e.transform;return{u_matrix:Zr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Vr=function(e,r,n){return t.extend(Ur(e,r,n),{u_image:0})},Hr=function(e,r,n,i){var a=e.transform,o=Gr(r,a);return{u_matrix:Zr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},qr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Gr(r,o),u="round"===n.layout.get("line-cap"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Ur(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Gr(t,e){return 1/ge(t,1,e.tileZoom)}function Zr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var Yr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Wr(i.paint.get("raster-hue-rotate"))};var a,o};function Wr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Xr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},Kr=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},$r=function(e,r,n,i,a,o,s,l,u,c){return t.extend(Kr(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},Qr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},tn=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},en={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function rn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Ir(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,P,O,I,D,0),k.emplace(A++,P,O,I,D,1),k.emplace(A++,P,O,I,D,2),k.emplace(A++,P,O,I,D,3)}(!Xr||Xr.length<2*h)&&(Xr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Xr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var nn=t.identity(new Float32Array(16));function an(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function on(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=an(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var D=0;D<O.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function sn(t,e,r){return r.iconsInText&&e?"symbolTextAndIcon":t?"symbolSDF":"symbolIcon"}function ln(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g="map"===l,y="map"===u,m=g&&"point"!==n.layout.get("symbol-placement"),x=g&&!y&&!m,b=void 0!==n.layout.get("symbol-sort-key").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get("text-variable-anchor"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,O=a?E.textSizeData:E.iconSizeData,I=y||0!==v.pitch,D=e.useProgram(sn(P,a,E),C),z=t.evaluateSizeForZoom(O,v.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V="composite"===O.kind||"camera"===O.kind;U=I||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get("icon-size").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||I?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=ge(S,1,e.transform.zoom),G=te(M.posMatrix,y,g,e.transform,q),Z=ee(M.posMatrix,y,g,e.transform,q),Y=w&&E.hasTextData(),W="none"!==n.layout.get("icon-text-fit")&&Y&&E.hasIconData();m&&ae(E,M.posMatrix,e,a,G,Z,y,c);var X=e.translatePosMatrix(M.posMatrix,S,o,s),J=m||a&&w||W?nn:G,K=e.translatePosMatrix(Z,S,o,s,!0),$=P&&0!==n.paint.get(a?"text-halo-width":"icon-halo-width").constantOr(1),Q={program:D,buffers:L,uniformValues:P?E.iconsInText?$r(O.kind,z,x,y,e,X,J,K,R,F):Kr(O.kind,z,x,y,e,X,J,K,a,R,!0):Jr(O.kind,z,x,y,e,X,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:$};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:Q})}else T.push({segments:L.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,un(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}un(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function un(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function cn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get("fill-pattern"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty("fill-outline-color")?"fillOutlinePattern":"fillOutline",s=h.LINES):(l=d?"fillPattern":"fill",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get("fill-translate"),r.paint.get("fill-translate-anchor"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u="fillOutlinePattern"===l&&d?Pr(S,t,v,x,E):Cr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Lr(S,t,v,x):Er(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function fn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get("fill-extrusion-pattern"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get("fill-extrusion-opacity"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?"fillExtrusionPattern":"fillExtrusion",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get("fill-extrusion-translate"),r.paint.get("fill-extrusion-translate-anchor")),A=r.paint.get("fill-extrusion-vertical-gradient"),M=c?Sr(k,t,A,h,v,f,g):Mr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function hn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram("hillshade");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=Nr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function pn(e,r,n,i,a,o,s){var l=e.context,u=l.gl,c=r.dem;if(c&&c.data){var f=c.dim,h=c.stride,p=c.getPixels();if(l.activeTexture.set(u.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(u.NEAREST,u.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,u.RGBA,{premultiply:!1}),r.demTexture.bind(u.NEAREST,u.CLAMP_TO_EDGE);l.activeTexture.set(u.TEXTURE0);var v=r.fbo;if(!v){var g=new t.Texture(l,{width:f,height:f,data:null},u.RGBA);g.bind(u.LINEAR,u.CLAMP_TO_EDGE),(v=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(v.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram("hillshadePrepare").draw(l,u.TRIANGLES,a,o,s,Ct.disabled,jr(r.tileID,c,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function dn(e,r,n,i,a){var o=i.paint.get("raster-fade-duration");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var vn=new t.Color(1,0,0,1),gn=new t.Color(0,1,0,1),yn=new t.Color(0,0,1,1),mn=new t.Color(1,0,1,1),xn=new t.Color(0,1,1,1);function bn(t){var e=t.transform.padding;_n(t,t.transform.height-(e.top||0),3,vn),_n(t,e.bottom||0,3,gn),wn(t,e.left||0,3,yn),wn(t,t.transform.width-(e.right||0),3,mn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;Tn(t,e-a/2,r-i/2,a,i,n),Tn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,xn)}function _n(t,e,r,n){Tn(t,0,e+r/2,t.transform.width,r,n)}function wn(t,e,r,n){Tn(t,e-r/2,0,r,t.transform.height,n)}function Tn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function kn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f="$debug";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,zr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+" "+d+"kb"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,zr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var An={symbol:function(e,r,n,i,a){if("translucent"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get("text-variable-anchor")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u="map"===a,c="map"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b="none"!==n.layout.get("icon-text-fit")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);on(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),a),0!==n.paint.get("icon-opacity").constantOr(1)&&ln(e,r,n,i,!1,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),n.layout.get("icon-rotation-alignment"),n.layout.get("icon-pitch-alignment"),n.layout.get("icon-keep-upright"),o,s),0!==n.paint.get("text-opacity").constantOr(1)&&ln(e,r,n,i,!0,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),n.layout.get("text-keep-upright"),o,s),r.map.showCollisionBoxes&&(rn(e,r,n,i,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),!0),rn(e,r,n,i,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),!1))}},circle:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("circle-opacity"),o=n.paint.get("circle-stroke-width"),s=n.paint.get("circle-stroke-opacity"),l=void 0!==n.layout.get("circle-sort-key").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram("circle",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Or(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get("heatmap-opacity"))if("offscreen"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram("heatmap",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Fr(c.posMatrix,f,v,n.paint.get("heatmap-intensity")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else"translucent"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram("heatmapTexture").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Br(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("line-opacity"),o=n.paint.get("line-width");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get("line-dasharray"),c=n.paint.get("line-pattern"),f=c.constantOr(1),h=n.paint.get("line-gradient"),p=n.getCrossfadeParameters(),d=f?"linePattern":u?"lineSDF":h?"lineGradient":"line",v=e.context,g=v.gl,y=!0;if(h){v.activeTexture.set(g.TEXTURE0);var m=n.gradientTexture;if(!n.gradient)return;m||(m=n.gradientTexture=new t.Texture(v,n.gradient,g.RGBA)),m.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=y||M.program!==A,E=c.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var O=f?Hr(e,w,n,p):u?qr(e,w,n,u,p):h?Vr(e,w,n):Ur(e,w,n);f?(v.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):u&&(S||e.lineAtlas.dirty)&&(v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v)),M.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Ct.disabled,O,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),y=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get("fill-color"),o=n.paint.get("fill-opacity");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get("fill-pattern"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?"opaque":"translucent";if(e.renderPass===u){var c=e.depthModeForSublayer(1,"opaque"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);cn(e,r,n,i,c,s,!1)}if("translucent"===e.renderPass&&n.paint.get("fill-antialias")){var f=e.depthModeForSublayer(n.getPaintProperty("fill-outline-color")?2:0,Mt.ReadOnly);cn(e,r,n,i,f,s,!0)}}},"fill-extrusion":function(t,e,r,n){var i=r.paint.get("fill-extrusion-opacity");if(0!==i&&"translucent"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get("fill-extrusion-pattern").constantOr(1))fn(t,e,r,n,a,Et.disabled,Lt.disabled),fn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();fn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if("offscreen"===t.renderPass||"translucent"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l="translucent"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],u=l[0],c=0,f=l[1];c<f.length;c+=1){var h=f[c],p=e.getTile(h);p.needsHillshadePrepare&&"offscreen"===t.renderPass?pn(t,p,r,a,o,Et.disabled,s):"translucent"===t.renderPass&&hn(t,p,r,o,u[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if("translucent"===t.renderPass&&0!==r.paint.get("raster-opacity")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram("raster"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get("raster-opacity")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get("raster-fade-duration"));var b=e.findLoadedParent(g,0),_=dn(m,b,e,r,t.transform),w=void 0,T=void 0,k="nearest"===r.paint.get("raster-resampling")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Yr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get("background-color"),i=r.paint.get("background-opacity");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get("background-pattern");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?"opaque":"translucent";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,"opaque"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?"backgroundPattern":"background"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?tn(b,i,t,u,{tileID:x,tileSize:l},g):Qr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)kn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if("offscreen"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if("translucent"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o="3d"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Mn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Mn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Mn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,We.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,We.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,O.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,We.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Mn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram("clippingMask").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Rr(n),"$clipping",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Mn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Rr(s.posMatrix),"$clipping",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Mn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Mn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Mn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Mn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return"opaque"===this.renderPass?Lt.unblended:Lt.alphaBlended},Mn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Mn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Mn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass="offscreen";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];("custom"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass="opaque",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=("symbol"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,c[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&An.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&bn(this),this.context.setDefault()},Mn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||("background"===r.type||"custom"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),An[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Mn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Mn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Mn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Mn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Mn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?"map"===i?this.transform.angle:0:"viewport"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Mn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Mn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Mn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Mn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new kr(this.context,wr[t],e,en[t],this._showOverdrawInspector)),this.cache[r]},Mn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Mn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Mn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Mn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var Sn=function(t,e){this.points=t,this.planes=e};Sn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new Sn(a,o)};var En=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};En.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new En(n,i)},En.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},En.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},En.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Ln=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};Ln.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Ln.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Ln.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Ln.prototype.clone=function(){return new Ln(this.top,this.bottom,this.left,this.right)},Ln.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Cn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Ln,this._posMatrixCache={},this._alignedPosMatrixCache={}},Pn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Cn.prototype.clone=function(){var t=new Cn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Pn.minZoom.get=function(){return this._minZoom},Pn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Pn.maxZoom.get=function(){return this._maxZoom},Pn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Pn.minPitch.get=function(){return this._minPitch},Pn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Pn.maxPitch.get=function(){return this._maxPitch},Pn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Pn.renderWorldCopies.get=function(){return this._renderWorldCopies},Pn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Pn.worldSize.get=function(){return this.tileSize*this.scale},Pn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Pn.size.get=function(){return new t.Point(this.width,this.height)},Pn.bearing.get=function(){return-this.angle/Math.PI*180},Pn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Pn.pitch.get=function(){return this._pitch/Math.PI*180},Pn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Pn.fov.get=function(){return this._fov/Math.PI*180},Pn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Pn.zoom.get=function(){return this._zoom},Pn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Pn.center.get=function(){return this._center},Pn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Pn.padding.get=function(){return this._edgeInsets.toJSON()},Pn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Pn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Cn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Cn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Cn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Cn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Cn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=Sn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new En([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Cn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Pn.unmodified.get=function(){return this._unmodified},Cn.prototype.zoomScale=function(t){return Math.pow(2,t)},Cn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Cn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Cn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Pn.point.get=function(){return this.project(this.center)},Cn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Cn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Cn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Cn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Cn.prototype.coordinateLocation=function(t){return t.toLngLat()},Cn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Cn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Cn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Cn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Cn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Cn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Cn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Cn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Cn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Cn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Cn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Cn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(Cn.prototype,Pn);var On=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll(["_getCurrentHash","_onHashChange","_updateHash"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};On.prototype.addTo=function(e){return this._map=e,t.window.addEventListener("hashchange",this._onHashChange,!1),this._map.on("moveend",this._updateHash),this},On.prototype.remove=function(){return t.window.removeEventListener("hashchange",this._onHashChange,!1),this._map.off("moveend",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},On.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c="";if(c+=e?"/"+o+"/"+s+"/"+n:n+"/"+s+"/"+o,(l||u)&&(c+="/"+Math.round(10*l)/10),u&&(c+="/"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split("&").map((function(t){var e=t.split("=")[0];return e===f?(h=!0,e+"="+c):t})).filter((function(t){return t}));return h||p.push(f+"="+c),"#"+p.join("&")}return"#"+c},On.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace("#","");return this._hashName?(n.split("&").map((function(t){return t.split("=")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||"").split("/")):n.split("/")},On.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},On.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,"",e)}catch(t){}};var In={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},In),zn=t.extend({deceleration:20,maxSpeed:1400},In),Rn=t.extend({deceleration:1e3,maxSpeed:360},In),Fn=t.extend({deceleration:1e3,maxSpeed:90},In),Bn=function(t){this._map=t,this.clear()};function Nn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function jn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Bn.prototype.clear=function(){this._inertiaBuffer=[]},Bn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Bn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Bn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=jn(r.pan.mag(),o,t.extend({},Dn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Nn(s,l)}if(r.zoom){var u=jn(r.zoom,o,zn);s.zoom=this._map.transform.zoom+u.amount,Nn(s,u)}if(r.bearing){var c=jn(r.bearing,o,Rn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),Nn(s,c)}if(r.pitch){var f=jn(r.pitch,o,Fn);s.pitch=this._map.transform.pitch+f.amount,Nn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Un=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Vn=function(e){function n(n,i,a){var o="touchend"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),qn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};qn.prototype.reset=function(){delete this._mousedownPos},qn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},qn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Un(t.type,this._map,t))},qn.prototype.mouseup=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Un(t.type,this._map,t))},qn.prototype.dblclick=function(t){return this._firePreventable(new Un(t.type,this._map,t))},qn.prototype.mouseover=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.mouseout=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.touchstart=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},qn.prototype.touchmove=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchend=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchcancel=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},qn.prototype.isEnabled=function(){return!0},qn.prototype.isActive=function(){return!1},qn.prototype.enable=function(){},qn.prototype.disable=function(){};var Gn=function(t){this._map=t};Gn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Gn.prototype.mousemove=function(t){this._map.fire(new Un(t.type,this._map,t))},Gn.prototype.mousedown=function(){this._delayContextMenu=!0},Gn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Un("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Gn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Un(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Zn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Yn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Zn.prototype.isEnabled=function(){return!!this._enabled},Zn.prototype.isActive=function(){return!!this._active},Zn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Zn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Zn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Zn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create("div","mapboxgl-boxzoom",this._container),this._container.classList.add("mapboxgl-crosshair"),this._fireEvent("boxzoomstart",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,"translate("+a+"px,"+s+"px)"),this._box.style.width=o-a+"px",this._box.style.height=l-s+"px"}}},Zn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event("boxzoomend",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent("boxzoomcancel",e)}},Zn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent("boxzoomcancel",t))},Zn.prototype.reset=function(){this._active=!1,this._container.classList.remove("mapboxgl-crosshair"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Zn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Wn=function(t){this.reset(),this.numTouches=t.numTouches};Wn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Wn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Yn(n,r)))},Wn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Yn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Wn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Xn=function(t){this.singleTap=new Wn(t),this.numTaps=t.numTaps,this.reset()};Xn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Xn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Xn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Xn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Xn({numTouches:1,numTaps:2}),this._zoomOut=new Xn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Kn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Kn.prototype._correctButton=function(t,e){return!1},Kn.prototype._move=function(t,e){return{}},Kn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Kn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Kn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Kn.prototype.enable=function(){this._enabled=!0},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};var $n=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Kn),Qn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Kn),ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Kn),ei=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ei.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ei.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ei.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},ei.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ei.prototype.touchcancel=function(){this.reset()},ei.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Yn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},ei.prototype.enable=function(){this._enabled=!0},ei.prototype.disable=function(){this._enabled=!1,this.reset()},ei.prototype.isEnabled=function(){return this._enabled},ei.prototype.isActive=function(){return this._active};var ri=function(){this.reset()};function ni(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ri.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ri.prototype._start=function(t){},ri.prototype._move=function(t,e,r){return{}},ri.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ri.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ni(r,e,i),s=ni(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ri.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ni(n,e,a),l=ni(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ri.prototype.touchcancel=function(){this.reset()},ri.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&"center"===t.around},ri.prototype.disable=function(){this._enabled=!1,this.reset()},ri.prototype.isEnabled=function(){return this._enabled},ri.prototype.isActive=function(){return this._active};function ii(t,e){return Math.log(t/e)/Math.LN2}var ai=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(ii(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:ii(this._distance,r),pinchAround:e}},e}(ri);function oi(t,e){return 180*t.angleWith(e)/Math.PI}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:oi(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=oi(t,this._startVector);return Math.abs(r)<e},e}(ri);function li(t){return Math.abs(t.y)>Math.abs(t.x)}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,li(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return li(t)&&li(e)&&a}},e}(ri),ci={panStep:100,bearingStep:15,pitchStep:10},fi=function(){var t=ci;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function hi(t){return t*(2-t)}fi.prototype.reset=function(){this._active=!1},fi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:hi,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var pi=4.000244140625,di=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll(["_onWheel","_onTimeout","_onScrollFrame","_onScrollFinished"],this)};di.prototype.setZoomRate=function(t){this._defaultZoomRate=t},di.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},di.prototype.isEnabled=function(){return!!this._enabled},di.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},di.prototype.isZooming=function(){return!!this._zooming},di.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},di.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},di.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%pi==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},di.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},di.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},di.prototype.renderFrame=function(){return this._onScrollFrame()},di.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>pi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if("wheel"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},di.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},di.prototype.reset=function(){this._active=!1};var vi=function(t,e){this._clickZoom=t,this._tapZoom=e};vi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},vi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},vi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},vi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var gi=function(){this.reset()};gi.prototype.reset=function(){this._active=!1},gi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},gi.prototype.enable=function(){this._enabled=!0},gi.prototype.disable=function(){this._enabled=!1,this.reset()},gi.prototype.isEnabled=function(){return this._enabled},gi.prototype.isActive=function(){return this._active};var yi=function(){this._tap=new Xn({numTouches:1,numTaps:1}),this.reset()};yi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},yi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},yi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},yi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},yi.prototype.touchcancel=function(){this.reset()},yi.prototype.enable=function(){this._enabled=!0},yi.prototype.disable=function(){this._enabled=!1,this.reset()},yi.prototype.isEnabled=function(){return this._enabled},yi.prototype.isActive=function(){return this._active};var mi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};mi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},mi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},mi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},mi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var xi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};xi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},xi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},xi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},xi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var bi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};bi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},bi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},bi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},bi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},bi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},bi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var _i=function(t){return t.zoom||t.drag||t.pitch||t.rotate},wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ti(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var ki=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Bn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!1}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};ki.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},ki.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add("mapEvent",new qn(e,t));var n=e.boxZoom=new Zn(e,t);this._add("boxZoom",n);var i=new Jn,a=new gi;e.doubleClickZoom=new vi(a,i),this._add("tapZoom",i),this._add("clickZoom",a);var o=new yi;this._add("tapDragZoom",o);var s=e.touchPitch=new ui;this._add("touchPitch",s);var l=new Qn(t),u=new ti(t);e.dragRotate=new xi(t,l,u),this._add("mouseRotate",l,["mousePitch"]),this._add("mousePitch",u,["mouseRotate"]);var c=new $n(t),f=new ei(t);e.dragPan=new mi(r,c,f),this._add("mousePan",c),this._add("touchPan",f,["touchZoom","touchRotate"]);var h=new si,p=new ai;e.touchZoomRotate=new bi(r,p,h,o),this._add("touchRotate",h,["touchPan","touchZoom"]),this._add("touchZoom",p,["touchPan","touchRotate"]);var d=e.scrollZoom=new di(e,this);this._add("scrollZoom",d,["mousePan"]);var v=e.keyboard=new fi;this._add("keyboard",v),this._add("blockableMapEvent",new Gn(e));for(var g=0,y=["boxZoom","doubleClickZoom","tapDragZoom","touchPitch","dragRotate","dragPan","touchZoomRotate","scrollZoom","keyboard"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},ki.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},ki.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},ki.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},ki.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},ki.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},ki.prototype.isMoving=function(){return Boolean(_i(this._eventsInProgress))||this.isZooming()},ki.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},ki.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+"Window")},ki.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},ki.prototype.handleEvent=function(t,e){if("blur"!==t.type){this._updatingCamera=!0;for(var n="renderFrame"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ti(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ti(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],m(this._map))}else this.stop()},ki.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},ki.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},ki.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ti(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},ki.prototype._fireEvents=function(e,r){var n=this,i=_i(this._eventsInProgress),a=_i(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+"start"]=l),this._eventsInProgress[s]=e[s]}for(var u in!i&&a&&this._fireEvent("movestart",a.originalEvent),o)this._fireEvent(u,o[u]);for(var c in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent("move",a.originalEvent),e){var f=e[c].originalEvent;this._fireEvent(c,f)}var h,p={};for(var d in this._eventsInProgress){var v=this._eventsInProgress[d],g=v.handlerName,y=v.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||y,p[d+"end"]=h)}for(var m in p)this._fireEvent(m,p[m]);var x=_i(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event("moveend",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},ki.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},ki.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new wi("renderFrame",{timeStamp:e})),t._applyChanges()})))};var Ai=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll(["_renderFrameCallback"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if("number"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(w)),zoom:m,bearing:n}}t.warnOnce("Map cannot fit within canvas with the given bounds, padding, and/or offset.")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return"zoom"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),"bearing"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),"pitch"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event("movestart",r)).fire(new t.Event("move",r)),i&&this.fire(new t.Event("zoomstart",r)).fire(new t.Event("zoom",r)).fire(new t.Event("zoomend",r)),a&&this.fire(new t.Event("rotatestart",r)).fire(new t.Event("rotate",r)).fire(new t.Event("rotateend",r)),o&&this.fire(new t.Event("pitchstart",r)).fire(new t.Event("pitch",r)).fire(new t.Event("pitchend",r)),this.fire(new t.Event("moveend",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u="zoom"in e?+e.zoom:a,c="bearing"in e?this._normalizeBearing(e.bearing,o):o,f="pitch"in e?+e.pitch:s,h="padding"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if("minZoom"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(z*_*t)}}if("duration"in e)e.duration=+e.duration;else{var R="screenSpeed"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Mi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_updateEditLink","_updateData","_updateCompact"],this)};Mi.prototype.getDefaultPosition=function(){return"bottom-right"},Mi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},Mi.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Mi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n<r.length-1?"&":"")),t}),"?");e.href=t.config.FEEDBACK_URL+"/"+n+(this._map._hash?this._map._hash.getHashString(!0):""),e.rel="noopener nofollow"}},Mi.prototype._updateData=function(t){!t||"metadata"!==t.sourceDataType&&"style"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Mi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return"string"!=typeof t?"":t}))):"string"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},Mi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact")};var Si=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};Si.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},Si.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},Si.prototype.getDefaultPosition=function(){return"bottom-left"},Si.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},Si.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Si.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var Ei=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ei.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ei.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Ei.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Ei.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Li={"FullscreenControl.Enter":"Enter fullscreen","FullscreenControl.Exit":"Exit fullscreen","GeolocateControl.FindMyLocation":"Find my location","GeolocateControl.LocationNotAvailable":"Location not available","LogoControl.Title":"Mapbox logo","NavigationControl.ResetBearing":"Reset bearing to north","NavigationControl.ZoomIn":"Zoom in","NavigationControl.ZoomOut":"Zoom out","ScaleControl.Feet":"ft","ScaleControl.Meters":"m","ScaleControl.Kilometers":"km","ScaleControl.Miles":"mi","ScaleControl.NauticalMiles":"nm"},Ci=t.window.HTMLImageElement,Pi=t.window.HTMLElement,Oi=t.window.ImageBitmap,Ii=60,Di={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Ii,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:"sans-serif",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},zi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Di,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>Ii)throw new Error("maxPitch must be less than or equal to 60");var i=new Cn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ei,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Li,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Pi))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",(function(){return r._update(!1)})),this.on("moveend",(function(){return r._update(!1)})),this.on("zoom",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1)),this.handlers=new ki(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new On(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Mi({customAttribution:e.customAttribution})),this.addControl(new Si,e.logoPosition),this.on("style.load",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on("data",(function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))})),this.on("dataloading",(function(e){r.fire(new t.Event(e.dataType+"dataloading",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r="top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error("minZoom must be between -2 and the current maxZoom, inclusive")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error("minPitch must be between 0 and the current maxPitch, inclusive")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Ii:t)>Ii)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Un(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Un(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Un(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||"number"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error("Missing UI string '"+t+"'");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(this,e||{}),this.style.setEventedParent(this,{style:this.style}),"string"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new Ye(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if("string"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else"object"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce("Unable to perform style diff: "+(n.message||n.error||n)+".  Rebuilding the style from scratch."),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce("There is no style added to the map.")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error("There is no source with ID '"+e+"'")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if("loaded"!==i.state&&"errored"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Ci||Oi&&r instanceof Oi){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error("The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.")));var i=r instanceof Ci||Oi&&r instanceof Oi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error("The width and height of the updated image must be that same as the previous version of the image")));var l=!(r instanceof Ci||Oi&&r instanceof Oi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error("Missing required image id"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){"rgb(250, 128, 114)"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue("background-color")&&t.warnOnce("This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add("mapboxgl-map"),(this._missingCSSCanary=r.create("div","mapboxgl-canary",t)).style.visibility="hidden",this._detectMissingCSS();var e=this._canvasContainer=r.create("div","mapboxgl-canvas-container",t);this._interactive&&e.classList.add("mapboxgl-interactive"),this._canvas=r.create("canvas","mapboxgl-canvas",e),this._canvas.addEventListener("webglcontextlost",this._contextLost,!1),this._canvas.addEventListener("webglcontextrestored",this._contextRestored,!1),this._canvas.setAttribute("tabindex","0"),this._canvas.setAttribute("aria-label","Map");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create("div","mapboxgl-control-container",t),a=this._controlPositions={};["top-left","top-right","bottom-left","bottom-right"].forEach((function(t){a[t]=r.create("div","mapboxgl-ctrl-"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+"px",this._canvas.style.height=r+"px"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext("webgl",r)||this._canvas.getContext("experimental-webgl",r);n?(this.painter=new Mn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error("Failed to initialize WebGL")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event("webglcontextlost",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event("webglcontextrestored",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens("gpu-timing-frame")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens("gpu-timing-layer")}),this.fire(new t.Event("render")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event("load"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens("gpu-timing-frame")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event("gpu-timing-frame",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens("gpu-timing-layer")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event("gpu-timing-layer",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event("idle"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener("resize",this._onWindowResize,!1),t.window.removeEventListener("online",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension("WEBGL_lose_context");n&&n.loseContext(),Ri(this._canvasContainer),Ri(this._controlContainer),Ri(this._missingCSSCanary),this._container.classList.remove("mapboxgl-map"),this._removed=!0,this.fire(new t.Event("remove"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Ai);function Ri(t){t.parentNode&&t.parentNode.removeChild(t)}var Fi={showCompass:!0,showZoom:!0,visualizePitch:!1},Bi=function(e){var n=this;this.options=t.extend({},Fi,e),this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll(["_setButtonTitle","_updateZoomButtons"],this),this._zoomInButton=this._createButton("mapboxgl-ctrl-zoom-in",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomInButton).setAttribute("aria-hidden",!0),this._zoomOutButton=this._createButton("mapboxgl-ctrl-zoom-out",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomOutButton).setAttribute("aria-hidden",!0)),this.options.showCompass&&(t.bindAll(["_rotateCompassArrow"],this),this._compass=this._createButton("mapboxgl-ctrl-compass",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create("span","mapboxgl-ctrl-icon",this._compass),this._compassIcon.setAttribute("aria-hidden",!0))};Bi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Bi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?"scale("+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+") rotateX("+this._map.transform.pitch+"deg) rotateZ("+this._map.transform.angle*(180/Math.PI)+"deg)":"rotate("+this._map.transform.angle*(180/Math.PI)+"deg)";this._compassIcon.style.transform=t},Bi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,"ZoomIn"),this._setButtonTitle(this._zoomOutButton,"ZoomOut"),this._map.on("zoom",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,"ResetBearing"),this.options.visualizePitch&&this._map.on("pitch",this._rotateCompassArrow),this._map.on("rotate",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ni(this._map,this._compass,this.options.visualizePitch)),this._container},Bi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off("zoom",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off("pitch",this._rotateCompassArrow),this._map.off("rotate",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Bi.prototype._createButton=function(t,e){var n=r.create("button",t,this._container);return n.type="button",n.addEventListener("click",e),n},Bi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString("NavigationControl."+e);t.title=r,t.setAttribute("aria-label",r)};var Ni=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Qn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ti({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll(["mousedown","mousemove","mouseup","touchstart","touchmove","touchend","reset"],this),r.addEventListener(n,"mousedown",this.mousedown),r.addEventListener(n,"touchstart",this.touchstart,{passive:!1}),r.addEventListener(n,"touchmove",this.touchmove),r.addEventListener(n,"touchend",this.touchend),r.addEventListener(n,"touchcancel",this.reset)};function ji(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ni.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ni.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ni.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Ni.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Ni.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Ni.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ni.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ni.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ni.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ni.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ni.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Ui={center:"translate(-50%,-50%)",top:"translate(-50%,0)","top-left":"translate(0,0)","top-right":"translate(-100%,0)",bottom:"translate(-50%,-100%)","bottom-left":"translate(0,-100%)","bottom-right":"translate(-100%,-100%)",left:"translate(0,-50%)",right:"translate(-100%,-50%)"};function Vi(t,e,r){var n=t.classList;for(var i in Ui)n.remove("mapboxgl-"+r+"-anchor-"+i);n.add("mapboxgl-"+r+"-anchor-"+e)}var Hi,qi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll(["_update","_onMove","_onUp","_addDragHandler","_onMapClick","_onKeyPress"],this),this._anchor=n&&n.anchor||"center",this._color=n&&n.color||"#3FB1CE",this._draggable=n&&n.draggable||!1,this._state="inactive",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||"auto",this._pitchAlignment=n&&n.pitchAlignment&&"auto"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create("div"),this._element.setAttribute("aria-label","Map marker");var o=r.createNS("http://www.w3.org/2000/svg","svg");o.setAttributeNS(null,"display","block"),o.setAttributeNS(null,"height","41px"),o.setAttributeNS(null,"width","27px"),o.setAttributeNS(null,"viewBox","0 0 27 41");var s=r.createNS("http://www.w3.org/2000/svg","g");s.setAttributeNS(null,"stroke","none"),s.setAttributeNS(null,"stroke-width","1"),s.setAttributeNS(null,"fill","none"),s.setAttributeNS(null,"fill-rule","evenodd");var l=r.createNS("http://www.w3.org/2000/svg","g");l.setAttributeNS(null,"fill-rule","nonzero");var u=r.createNS("http://www.w3.org/2000/svg","g");u.setAttributeNS(null,"transform","translate(3.0, 29.0)"),u.setAttributeNS(null,"fill","#000000");for(var c=0,f=[{rx:"10.5",ry:"5.25002273"},{rx:"10.5",ry:"5.25002273"},{rx:"9.5",ry:"4.77275007"},{rx:"8.5",ry:"4.29549936"},{rx:"7.5",ry:"3.81822308"},{rx:"6.5",ry:"3.34094679"},{rx:"5.5",ry:"2.86367051"},{rx:"4.5",ry:"2.38636864"}];c<f.length;c+=1){var h=f[c],p=r.createNS("http://www.w3.org/2000/svg","ellipse");p.setAttributeNS(null,"opacity","0.04"),p.setAttributeNS(null,"cx","10.5"),p.setAttributeNS(null,"cy","5.80029008"),p.setAttributeNS(null,"rx",h.rx),p.setAttributeNS(null,"ry",h.ry),u.appendChild(p)}var d=r.createNS("http://www.w3.org/2000/svg","g");d.setAttributeNS(null,"fill",this._color);var v=r.createNS("http://www.w3.org/2000/svg","path");v.setAttributeNS(null,"d","M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z"),d.appendChild(v);var g=r.createNS("http://www.w3.org/2000/svg","g");g.setAttributeNS(null,"opacity","0.25"),g.setAttributeNS(null,"fill","#000000");var y=r.createNS("http://www.w3.org/2000/svg","path");y.setAttributeNS(null,"d","M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z"),g.appendChild(y);var m=r.createNS("http://www.w3.org/2000/svg","g");m.setAttributeNS(null,"transform","translate(6.0, 7.0)"),m.setAttributeNS(null,"fill","#FFFFFF");var x=r.createNS("http://www.w3.org/2000/svg","g");x.setAttributeNS(null,"transform","translate(8.0, 8.0)");var b=r.createNS("http://www.w3.org/2000/svg","circle");b.setAttributeNS(null,"fill","#000000"),b.setAttributeNS(null,"opacity","0.25"),b.setAttributeNS(null,"cx","5.5"),b.setAttributeNS(null,"cy","5.5"),b.setAttributeNS(null,"r","5.4999962");var _=r.createNS("http://www.w3.org/2000/svg","circle");_.setAttributeNS(null,"fill","#FFFFFF"),_.setAttributeNS(null,"cx","5.5"),_.setAttributeNS(null,"cy","5.5"),_.setAttributeNS(null,"r","5.4999962"),x.appendChild(b),x.appendChild(_),l.appendChild(u),l.appendChild(d),l.appendChild(g),l.appendChild(m),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add("mapboxgl-marker"),this._element.addEventListener("dragstart",(function(t){t.preventDefault()})),this._element.addEventListener("mousedown",(function(t){t.preventDefault()})),this._element.addEventListener("focus",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Vi(this._element,this._anchor,"marker"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on("move",this._update),t.on("moveend",this._update),this.setDraggable(this._draggable),this._update(),this._map.on("click",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off("click",this._onMapClick),this._map.off("move",this._update),this._map.off("moveend",this._update),this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler),this._map.off("mouseup",this._onUp),this._map.off("touchend",this._onUp),this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener("keypress",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute("tabindex")),t){if(!("offset"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],"top-left":[0,0],"top-right":[0,0],bottom:[0,-38.1],"bottom-left":[r,-1*(24.6+r)],"bottom-right":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute("tabindex"),this._originalTabIndex||this._element.setAttribute("tabindex","0"),this._element.addEventListener("keypress",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;"Space"!==e&&"Enter"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=ji(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e="";"viewport"===this._rotationAlignment||"auto"===this._rotationAlignment?e="rotateZ("+this._rotation+"deg)":"map"===this._rotationAlignment&&(e="rotateZ("+(this._rotation-this._map.getBearing())+"deg)");var n="";"viewport"===this._pitchAlignment||"auto"===this._pitchAlignment?n="rotateX(0deg)":"map"===this._pitchAlignment&&(n="rotateX("+this._map.getPitch()+"deg)"),t&&"moveend"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Ui[this._anchor]+" translate("+this._pos.x+"px, "+this._pos.y+"px) "+n+" "+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag"))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Gi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Zi=0,Yi=!1,Wi=function(e){function n(r){e.call(this),this.options=t.extend({},Gi,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Hi?n(Hi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then((function(t){Hi="denied"!==t.state,n(Hi)})):(Hi=!!t.window.navigator.geolocation,n(Hi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,Zi=0,Yi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Yi)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new qi(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new qi({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",(function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":Zi--,Yi=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++Zi>1?(e={maximumAge:6e5,timeout:0},Yi=!0):(e=this.options.positionOptions,Yi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Xi={maxWidth:100,unit:"metric"},Ji=function(e){this.options=t.extend({},Xi,e),t.bindAll(["_onMove","setUnit"],this)};function Ki(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;l>5280?$i(e,n,l/5280,t._getUIString("ScaleControl.Miles")):$i(e,n,l,t._getUIString("ScaleControl.Feet"))}else r&&"nautical"===r.unit?$i(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles")):s>=1e3?$i(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):$i(e,n,s,t._getUIString("ScaleControl.Meters"))}function $i(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(""+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+"&nbsp;"+n}Ji.prototype.getDefaultPosition=function(){return"bottom-left"},Ji.prototype._onMove=function(){Ki(this._map,this._container,this.options)},Ji.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},Ji.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},Ji.prototype.setUnit=function(t){this.options.unit=t,Ki(this._map,this._container,this.options)};var Qi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};Qi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},Qi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Qi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Qi.prototype._setupUI=function(){var 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this._fullscreen},Qi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle("mapboxgl-ctrl-shrink"),this._fullscreenButton.classList.toggle("mapboxgl-ctrl-fullscreen"),this._updateTitle())},Qi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ta={closeButton:!0,closeOnClick:!0,className:"",maxWidth:"240px"},ea=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ta),r),t.bindAll(["_update","_onClose","remove","_onMouseMove","_onMouseUp","_onDrag"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on("click",this._onClose),this.options.closeOnMove&&this._map.on("move",this._onClose),this._map.on("remove",this.remove),this._update(),this._trackPointer?(this._map.on("mousemove",this._onMouseMove),this._map.on("mouseup",this._onMouseUp),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")):this._map.on("move",this._update),this.fire(new t.Event("open")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return 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this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create("div","mapboxgl-popup-content",this._container),this.options.closeButton&&(this._closeButton=r.create("button","mapboxgl-popup-close-button",this._content),this._closeButton.type="button",this._closeButton.setAttribute("aria-label","Close 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function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function u(i,o){var s=n.create();function u(t){return s.findTransition((function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function c(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,u=a.start,c=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,u,c);if(!1===f){if(!e.pointsCollinear(o,s,u))return!1;if(e.pointsSame(o,c)||e.pointsSame(s,u))return!1;var h=e.pointsSame(o,u),p=e.pointsSame(s,c);if(h&&p)return n;var d=!h&&e.pointBetween(o,u,c),v=!p&&e.pointBetween(s,u,c);if(h)return v?l(n,s):l(t,c),n;d&&(p||(v?l(n,s):l(t,c)),l(n,o))}else 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y,m,x=g();if(x)t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=h.seg.myFill,r&&r.segmentUpdate(x.seg),h.other.remove(),h.remove();if(a.getHead()!==h){r&&r.rewind(h.seg);continue}t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=v?v.seg.myFill.above:i,h.seg.myFill.above=m?!h.seg.myFill.below:h.seg.myFill.below):null===h.seg.otherFill&&(y=v?h.primary===v.primary?v.seg.otherFill.above:v.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:y,below:y}),r&&r.status(h.seg,!!d&&d.seg,!!v&&v.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error("PolyBool: Zero-length segment detected; your epsilon is probably too small or too large");if(s.exists(b.prev)&&s.exists(b.next)&&c(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var 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r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},11328:function(t){t.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn("PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},u=s,c=0;c<n.length;c++){var f=(g=n[c])[0],h=(g[1],g[g.length-1]);if(g[g.length-2],e.pointsSame(f,a)){if(k(c,!0,!0))break}else if(e.pointsSame(f,o)){if(k(c,!0,!1))break}else if(e.pointsSame(h,a)){if(k(c,!1,!0))break}else if(e.pointsSame(h,o)&&k(c,!1,!1))break}if(u===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(u===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,v=s.matches_head,g=n[p],y=v?g[0]:g[g.length-1],m=v?g[1]:g[g.length-2],x=v?g[g.length-1]:g[0],b=v?g[g.length-2]:g[1];return e.pointsCollinear(m,y,d)&&(v?(r&&r.chainRemoveHead(s.index,d),g.shift()):(r&&r.chainRemoveTail(s.index,d),g.pop()),y=m),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,y)&&(v?(r&&r.chainRemoveTail(s.index,y),g.pop()):(r&&r.chainRemoveHead(s.index,y),g.shift())),r&&r.chainClose(s.index),void i.push(g)):void(v?(r&&r.chainAddHead(s.index,d),g.unshift(d)):(r&&r.chainAddTail(s.index,d),g.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return u.index=t,u.matches_head=e,u.matches_pt1=r,u===s?(u=l,!1):(u=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},55968:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},14847:function(t,e,r){"use 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r=new Error(t);return r.code=e,r}function r(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function n(t,r,n){this.input=t.subarray(r,n),this.start=r;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if("II*\0"!==i&&"MM\0*"!==i)throw e("invalid TIFF signature","EBADDATA");this.big_endian="M"===i[0]}n.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},n.prototype.read_uint16=function(t){var r=this.input;if(t+2>r.length)throw e("unexpected EOF","EBADDATA");return this.big_endian?256*r[t]+r[t+1]:r[t]+256*r[t+1]},n.prototype.read_uint32=function(t){var r=this.input;if(t+4>r.length)throw e("unexpected EOF","EBADDATA");return this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),u=this.read_uint32(n+4),c=this.exif_format_length(l),f=u*c,h=f<=4?n+8:this.read_uint32(n+8),p=!1;if(h+f>this.input.length)throw e("unexpected EOF","EBADDATA");for(var d=[],v=h,g=0;g<u;g++,v+=c){var y=this.exif_format_read(l,v);if(null===y){d=null;break}d.push(y)}if(Array.isArray(d)&&2===l&&(d=r(String.fromCharCode.apply(null,d)))&&"\0"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===i({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:u,entry_offset:n+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);n+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(n)})},t.exports.ExifParser=n,t.exports.get_orientation=function(t){var e=0;try{return new n(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},76767:function(t,e,r){"use strict";var n=r(14847).n8,i=r(14847).Ag;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case"ispe":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case"irot":e.transforms.push({type:"irot",value:3&n.data[0]});break;case"imir":e.transforms.push({type:"imir",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,u=0;u<o;u++){var c=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),v=s(t,l+r,i);e.item_loc[c]={length:v,offset:d+h}}l+=p*(r+i)}}function u(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if("infe"===s.boxtype){for(var l=n(s.data,4),u="",c=8;c<s.data.length&&s.data[c];c++)u+=String.fromCharCode(s.data[c]);e.item_inf[u]=l}i=s.end}}function c(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;"ipco"===n.boxtype&&o(n.data,e),r=n.end}}t.exports.unbox=a,t.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;"iprp"===n.boxtype&&c(n.data,e),"iloc"===n.boxtype&&l(n.data,e),"iinf"===n.boxtype&&u(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(n=(r=e.sizes).reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if("imir"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),"irot"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return 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be enabled");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=y.shaders.has(t)?y.shaders.get(t):y.shaders.set(t,y.createShaders(t)).get(t),this.update(e)}t.exports=y,y.dashMult=2,y.maxPatternLength=256,y.precisionThreshold=3e6,y.maxPoints=1e4,y.maxLines=2048,y.shaders=new d,y.createShaders=function(t){var e,r=t.buffer({usage:"static",type:"float",data:[0,1,0,0,1,1,1,0]}),n={primitive:"triangle strip",instances:t.prop("count"),count:4,offset:0,uniforms:{miterMode:function(t,e){return"round"===e.join?2:1},miterLimit:t.prop("miterLimit"),scale:t.prop("scale"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),translate:t.prop("translate"),thickness:t.prop("thickness"),dashTexture:t.prop("dashTexture"),opacity:t.prop("opacity"),pixelRatio:t.context("pixelRatio"),id:t.prop("id"),dashLength:t.prop("dashLength"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop("depth")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:"add",alpha:"add"},func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop("viewport")},viewport:t.prop("viewport")},i=t(a({vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\nattribute vec4 color;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\n\t// the order is important\n\treturn position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n}\n\nvoid main() {\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineOffset = lineTop * 2. - 1.;\n\n\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\n\ttangent = normalize(diff * scale * viewport.zw);\n\tvec2 normal = vec2(-tangent.y, tangent.x);\n\n\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\n\t\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\n\n\t\t+ thickness * normal * .5 * lineOffset / viewport.zw;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform float dashLength, pixelRatio, thickness, opacity, id;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvoid main() {\n\tfloat alpha = 1.;\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:16,divisor:1},color:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:"back"},vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\nattribute vec4 aColor, bColor;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, translate;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\nuniform float miterLimit, miterMode;\n\nvarying vec4 fragColor;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 tangent;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nconst float REVERSE_THRESHOLD = -.875;\nconst float MIN_DIFF = 1e-6;\n\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n// TODO: precalculate dot products, normalize things beforehead etc.\n// TODO: refactor to rectangular algorithm\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nbool isNaN( float val ){\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n}\n\nvoid main() {\n\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n\n  vec2 adjustedScale;\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n\n  vec2 scaleRatio = adjustedScale * viewport.zw;\n\tvec2 normalWidth = thickness / scaleRatio;\n\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineBot = 1. - lineTop;\n\n\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n\n\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n\n\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n\n\tvec2 prevDiff = aCoord - prevCoord;\n\tvec2 currDiff = bCoord - aCoord;\n\tvec2 nextDiff = nextCoord - bCoord;\n\n\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n\tvec2 currTangent = normalize(currDiff * scaleRatio);\n\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n\n\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n\n\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n\n\t// collapsed/unidirectional segment cases\n\t// FIXME: there should be more elegant solution\n\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n\t\tstartJoinDirection = currNormal;\n\t}\n\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n\t\tendJoinDirection = currNormal;\n\t}\n\tif (aCoord == bCoord) {\n\t\tendJoinDirection = startJoinDirection;\n\t\tcurrNormal = prevNormal;\n\t\tcurrTangent = prevTangent;\n\t}\n\n\ttangent = currTangent;\n\n\t//calculate join shifts relative to normals\n\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n\n\tfloat startMiterRatio = abs(1. / startJoinShift);\n\tfloat endMiterRatio = abs(1. / endJoinShift);\n\n\tvec2 startJoin = startJoinDirection * startMiterRatio;\n\tvec2 endJoin = endJoinDirection * endMiterRatio;\n\n\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n\tstartBotJoin = -startTopJoin;\n\n\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n\tendBotJoin = -endTopJoin;\n\n\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n\n\t//miter anti-clipping\n\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n\n\t//prevent close to reverse direction switch\n\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\n\tif (prevReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n\t\t//handle miter clipping\n\t\tbTopCoord -= normalWidth * endTopJoin;\n\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n\t}\n\n\tif (nextReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n\t\t//handle miter clipping\n\t\taBotCoord -= normalWidth * startBotJoin;\n\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n\t}\n\n\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n\n\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n\n\t//position is normalized 0..1 coord on the screen\n\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n\n\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\n\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\n\n\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n\n\t//bevel miter cutoffs\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n\n\t//round miter cutoffs\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nvoid main() {\n\tfloat alpha = 1., distToStart, distToEnd;\n\tfloat cutoff = thickness * .5;\n\n\t//bevel miter\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n\t\t}\n\t}\n\n\t// round miter\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\t}\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop("colorBuffer"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:"triangle",elements:function(t,e){return e.triangles},offset:0,vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 position, positionFract;\n\nuniform vec4 color;\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float pixelRatio, id;\nuniform vec4 viewport;\nuniform float opacity;\n\nvarying vec4 fragColor;\n\nconst float MAX_LINES = 256.;\n\nvoid main() {\n\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\n\n\tvec2 position = position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n\tfragColor.a *= opacity;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n\tgl_FragColor = fragColor;\n}\n"]),uniforms:{scale:t.prop("scale"),color:t.prop("fill"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),translate:t.prop("translate"),opacity:t.prop("opacity"),pixelRatio:t.context("pixelRatio"),id:t.prop("id"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop("positionBuffer"),stride:8,offset:8},positionFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},y.defaults={dashes:null,join:"miter",miterLimit:1,thickness:10,cap:"square",color:"black",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},y.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},y.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);"number"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>y.precisionThreshold||e.scale[1]*e.viewport.height>y.precisionThreshold||"rect"===e.join||!e.join&&(e.thickness<=2||e.count>=y.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},y.prototype.update=function(t){var e=this;if(t){null!=t.length?"number"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if("number"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:"positions points data coords",thickness:"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth",join:"lineJoin linejoin join type 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*y.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:"linear",min:"linear"},0,0)}if(t.color){var lt=d.count,ut=t.color;ut||(ut="transparent");var ct=new Uint8Array(4*lt+4);if(Array.isArray(ut)&&"number"!=typeof ut[0]){for(var ft=0;ft<lt;ft++){var ht=n(ut[ft],"uint8");ct.set(ht,4*ft)}ct.set(n(ut[0],"uint8"),4*lt)}else for(var pt=n(ut,"uint8"),dt=0;dt<lt+1;dt++)ct.set(pt,4*dt);d.colorBuffer({usage:"dynamic",type:"uint8",data:ct})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&m.push(this.passes[x]);return this.passes=m,this}},y.prototype.destroy=function(){return 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opacity;\n\n    gl_FragColor = color;\n  }\n\n}\n"]),s.vert=f(["precision highp float;\n#define GLSLIFY 1\n\nattribute float x, y, xFract, yFract;\nattribute float size, borderSize;\nattribute vec4 colorId, borderColorId;\nattribute float isActive;\n\nuniform bool constPointSize;\nuniform float pixelRatio;\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\nuniform sampler2D paletteTexture;\n\nconst float maxSize = 100.;\nconst float borderLevel = .5;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\n\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n\nbool isDirect = (paletteSize.x < 1.);\n\nvec4 getColor(vec4 id) {\n  return isDirect ? id / 255. : texture2D(paletteTexture,\n    vec2(\n      (id.x + .5) / paletteSize.x,\n      (id.y + .5) / paletteSize.y\n    )\n  );\n}\n\nvoid main() {\n  // ignore inactive points\n  if (isActive == 0.) return;\n\n  vec2 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i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if("number"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if("undefined"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t["@@iterator"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;if(this.regl,!a)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var f=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];f.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return f},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,f=this.maxColors,v=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:"function"==typeof e?e={ondraw:e}:"number"==typeof e[0]&&(e={positions:e}),null===(e=h(e,{positions:"positions data points",snap:"snap cluster lod tree",size:"sizes size radius",borderSize:"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline",color:"colors color fill fill-color fillColor",borderColor:"borderColors borderColor stroke stroke-color strokeColor",marker:"markers marker shape",range:"range dataBox databox",viewport:"viewport viewPort viewBox viewbox",opacity:"opacity alpha transparency",bounds:"bound bounds boundaries limits",tooManyColors:"tooManyColors palette paletteMode optimizePalette 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n=r(56131);function i(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(i.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+"-"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[""].invalidCalendar).replace(/\{0\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():"string"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+"").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n="",i=0;r>0;){var a=r%10;n=(0===a?"":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,"y")},month:function(t){return 0===arguments.length?this._month:this.set(t,"m")},day:function(t){return 0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[""].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,"d"===r||"w"===r){var n=t.toJD()+e*("w"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+("y"===r?e:0),o=t.monthOfYear()+("m"===r?e:0);i=t.day(),"y"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):"m"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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+<div class="section" id="seaborn">
+<h2>Seaborn<a class="headerlink" href="#seaborn" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p><a class="reference internal" href="../_images/seaborn.svg"><img alt="Seaborn Logo" src="../_images/seaborn.svg" width="250" /></a></img></p>
+<p>Seaborn is a high level interactive interface for creating statistical visualizations built on matplotlib. Check out the <a class="reference external" href="https://seaborn.pydata.org/">Seaborn documentation</a>.</p>
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+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
+<span class="n">sns</span><span class="o">.</span><span class="n">set_theme</span><span class="p">()</span>
+
+<span class="c1"># Load the example flights dataset and convert to long-form</span>
+<span class="n">flights_long</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">load_dataset</span><span class="p">(</span><span class="s2">&quot;flights&quot;</span><span class="p">)</span>
+<span class="n">flights</span> <span class="o">=</span> <span class="n">flights_long</span><span class="o">.</span><span class="n">pivot</span><span class="p">(</span><span class="n">index</span><span class="o">=</span><span class="s2">&quot;month&quot;</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="s2">&quot;year&quot;</span><span class="p">,</span> <span class="n">values</span><span class="o">=</span><span class="s2">&quot;passengers&quot;</span><span class="p">)</span>
+
+<span class="c1"># Draw a heatmap with the numeric values in each cell</span>
+<span class="n">f</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">9</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
+<span class="n">sns</span><span class="o">.</span><span class="n">heatmap</span><span class="p">(</span><span class="n">flights</span><span class="p">,</span> <span class="n">annot</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">fmt</span><span class="o">=</span><span class="s2">&quot;d&quot;</span><span class="p">,</span> <span class="n">linewidths</span><span class="o">=</span><span class="mf">.5</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">();</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/6cda34e2e5a1b9e32ea56f2a430eec1234cd62f681a4420b1315108556ce7a70.png" src="../_images/6cda34e2e5a1b9e32ea56f2a430eec1234cd62f681a4420b1315108556ce7a70.png" />
+</div>
+</div>
+</div>
+<div class="section" id="bokeh">
+<h2>Bokeh<a class="headerlink" href="#bokeh" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p><a class="reference internal" href="../_images/bokeh.jpeg"><img alt="Bokeh Logo" src="../_images/bokeh.jpeg" style="width: 250px;" /></a></img></p>
+<p>Bokeh is a Javascript-powered tool for creating interactive visualizations in modern web browsers. Check out the <a class="reference external" href="https://bokeh.org/">Bokeh documentation</a>.</p>
+</div>
+<div class="section" id="uxarray">
+<h2>UXarray<a class="headerlink" href="#uxarray" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p><a class="reference internal" href="../_images/uxarray.png"><img alt="UXarray Logo" src="../_images/uxarray.png" style="width: 250px;" /></a></img></p>
+<p>UXarray specializes in unstructured grids, built around <a class="reference external" href="https://ugrid-conventions.github.io/ugrid-conventions/">UGRID conventions</a> and Xarray syntax. See the <a class="reference external" href="https://uxarray.readthedocs.io/en/latest/">UXarray documentation</a> and check out the the <a class="reference external" href="https://projectpythia.org/unstructured-grid-viz-cookbook">UXarray Cookbook</a>.</p>
+</div>
+<div class="section" id="hvplot">
+<h2>hvPlot<a class="headerlink" href="#hvplot" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p><a class="reference internal" href="../_images/hvplot.svg"><img alt="Datashader Logo" src="../_images/hvplot.svg" width="250" /></a></img></p>
+<p>hvPlot wraps both <a class="reference external" href="https://datashader.org/">Datashader</a>, a graphics pipeline, and <a class="reference external" href="https://holoviews.org/">Holoviews</a>, a tool for bundling data and metadata for intuitive interactive plotting, at a higher level. All 3 tools are by <a class="reference external" href="https://holoviz.org/">Holoviz</a>. Reference the <a class="reference external" href="https://hvplot.holoviz.org/">hvPlot documentation</a>.</p>
+<p>Here is a simple example from their <a class="reference external" href="https://hvplot.holoviz.org/user_guide/Introduction.html">user guide</a>:</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">hvplot.pandas</span>
+
+<span class="n">pd</span><span class="o">.</span><span class="n">options</span><span class="o">.</span><span class="n">plotting</span><span class="o">.</span><span class="n">backend</span> <span class="o">=</span> <span class="s1">&#39;holoviews&#39;</span>
+
+<span class="n">index</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">date_range</span><span class="p">(</span><span class="s1">&#39;1/1/2000&#39;</span><span class="p">,</span> <span class="n">periods</span><span class="o">=</span><span class="mi">1000</span><span class="p">)</span>
+<span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="mi">1000</span><span class="p">,</span> <span class="mi">4</span><span class="p">),</span> <span class="n">index</span><span class="o">=</span><span class="n">index</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="nb">list</span><span class="p">(</span><span class="s1">&#39;ABCD&#39;</span><span class="p">))</span><span class="o">.</span><span class="n">cumsum</span><span class="p">()</span>
+
+<span class="n">df</span><span class="o">.</span><span class="n">plot</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
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+      element.type = "module";
+      console.debug("Bokeh: injecting script tag for BokehJS library: ", url);
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+      window._bokeh_on_load()
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+}
+
+
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+        });
+      } else if (typeof google != 'undefined' && google.colab.kernel != null) {
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+        comm_promise.then((comm) => {
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+            return messages.next().then(processIteratorResult);
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+        var sendClosure = (data, metadata, buffers, disposeOnDone) => {
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+            comm.send(data, metadata, buffers, disposeOnDone);
+          });
+        };
+        var comm = {
+          send: sendClosure
+        };
+      }
+      window.PyViz.comms[comm_id] = comm;
+      return comm;
+    }
+    window.PyViz.comm_manager = new JupyterCommManager();
+    
+
+
+var JS_MIME_TYPE = 'application/javascript';
+var HTML_MIME_TYPE = 'text/html';
+var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';
+var CLASS_NAME = 'output';
+
+/**
+ * Render data to the DOM node
+ */
+function render(props, node) {
+  var div = document.createElement("div");
+  var script = document.createElement("script");
+  node.appendChild(div);
+  node.appendChild(script);
+}
+
+/**
+ * Handle when a new output is added
+ */
+function handle_add_output(event, handle) {
+  var output_area = handle.output_area;
+  var output = handle.output;
+  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {
+    return
+  }
+  var id = output.metadata[EXEC_MIME_TYPE]["id"];
+  var toinsert = output_area.element.find("." + CLASS_NAME.split(' ')[0]);
+  if (id !== undefined) {
+    var nchildren = toinsert.length;
+    var html_node = toinsert[nchildren-1].children[0];
+    html_node.innerHTML = output.data[HTML_MIME_TYPE];
+    var scripts = [];
+    var nodelist = html_node.querySelectorAll("script");
+    for (var i in nodelist) {
+      if (nodelist.hasOwnProperty(i)) {
+        scripts.push(nodelist[i])
+      }
+    }
+
+    scripts.forEach( function (oldScript) {
+      var newScript = document.createElement("script");
+      var attrs = [];
+      var nodemap = oldScript.attributes;
+      for (var j in nodemap) {
+        if (nodemap.hasOwnProperty(j)) {
+          attrs.push(nodemap[j])
+        }
+      }
+      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });
+      newScript.appendChild(document.createTextNode(oldScript.innerHTML));
+      oldScript.parentNode.replaceChild(newScript, oldScript);
+    });
+    if (JS_MIME_TYPE in output.data) {
+      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];
+    }
+    output_area._hv_plot_id = id;
+    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {
+      window.PyViz.plot_index[id] = Bokeh.index[id];
+    } else {
+      window.PyViz.plot_index[id] = null;
+    }
+  } else if (output.metadata[EXEC_MIME_TYPE]["server_id"] !== undefined) {
+    var bk_div = document.createElement("div");
+    bk_div.innerHTML = output.data[HTML_MIME_TYPE];
+    var script_attrs = bk_div.children[0].attributes;
+    for (var i = 0; i < script_attrs.length; i++) {
+      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);
+    }
+    // store reference to server id on output_area
+    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE]["server_id"];
+  }
+}
+
+/**
+ * Handle when an output is cleared or removed
+ */
+function handle_clear_output(event, handle) {
+  var id = handle.cell.output_area._hv_plot_id;
+  var server_id = handle.cell.output_area._bokeh_server_id;
+  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }
+  var comm = window.PyViz.comm_manager.get_client_comm("hv-extension-comm", "hv-extension-comm", function () {});
+  if (server_id !== null) {
+    comm.send({event_type: 'server_delete', 'id': server_id});
+    return;
+  } else if (comm !== null) {
+    comm.send({event_type: 'delete', 'id': id});
+  }
+  delete PyViz.plot_index[id];
+  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {
+    var doc = window.Bokeh.index[id].model.document
+    doc.clear();
+    const i = window.Bokeh.documents.indexOf(doc);
+    if (i > -1) {
+      window.Bokeh.documents.splice(i, 1);
+    }
+  }
+}
+
+/**
+ * Handle kernel restart event
+ */
+function handle_kernel_cleanup(event, handle) {
+  delete PyViz.comms["hv-extension-comm"];
+  window.PyViz.plot_index = {}
+}
+
+/**
+ * Handle update_display_data messages
+ */
+function handle_update_output(event, handle) {
+  handle_clear_output(event, {cell: {output_area: handle.output_area}})
+  handle_add_output(event, handle)
+}
+
+function register_renderer(events, OutputArea) {
+  function append_mime(data, metadata, element) {
+    // create a DOM node to render to
+    var toinsert = this.create_output_subarea(
+    metadata,
+    CLASS_NAME,
+    EXEC_MIME_TYPE
+    );
+    this.keyboard_manager.register_events(toinsert);
+    // Render to node
+    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};
+    render(props, toinsert[0]);
+    element.append(toinsert);
+    return toinsert
+  }
+
+  events.on('output_added.OutputArea', handle_add_output);
+  events.on('output_updated.OutputArea', handle_update_output);
+  events.on('clear_output.CodeCell', handle_clear_output);
+  events.on('delete.Cell', handle_clear_output);
+  events.on('kernel_ready.Kernel', handle_kernel_cleanup);
+
+  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {
+    safe: true,
+    index: 0
+  });
+}
+
+if (window.Jupyter !== undefined) {
+  try {
+    var events = require('base/js/events');
+    var OutputArea = require('notebook/js/outputarea').OutputArea;
+    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {
+      register_renderer(events, OutputArea);
+    }
+  } catch(err) {
+  }
+}
+</script><div class="output text_html"><style>*[data-root-id],
+*[data-root-id] > * {
+  box-sizing: border-box;
+  font-family: var(--jp-ui-font-family);
+  font-size: var(--jp-ui-font-size1);
+  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));
+}
+
+/* Override VSCode background color */
+.cell-output-ipywidget-background:has(
+    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]
+  ),
+.cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {
+  background-color: transparent !important;
+}
+</style></div><div class="output text_html"><div id='p1002'>
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+</div>
+<script type="application/javascript">(function(root) {
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+  var docs = Object.values(docs_json)
+  if (!docs) {
+    return
+  }
+  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')
+  function embed_document(root) {
+    var Bokeh = get_bokeh(root)
+    Bokeh.embed.embed_items_notebook(docs_json, render_items);
+    for (const render_item of render_items) {
+      for (const root_id of render_item.root_ids) {
+	const id_el = document.getElementById(root_id)
+	if (id_el.children.length && (id_el.children[0].className === 'bk-root')) {
+	  const root_el = id_el.children[0]
+	  root_el.id = root_el.id + '-rendered'
+	}
+      }
+    }
+  }
+  function get_bokeh(root) {
+    if (root.Bokeh === undefined) {
+      return null
+    } else if (root.Bokeh.version !== py_version) {
+      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {
+	return null
+      }
+      return root.Bokeh.versions.get(py_version);
+    } else if (root.Bokeh.version === py_version) {
+      return root.Bokeh
+    }
+    return null
+  }
+  function is_loaded(root) {
+    var Bokeh = get_bokeh(root)
+    return (Bokeh != null && Bokeh.Panel !== undefined)
+  }
+  if (is_loaded(root)) {
+    embed_document(root);
+  } else {
+    var attempts = 0;
+    var timer = setInterval(function(root) {
+      if (is_loaded(root)) {
+        clearInterval(timer);
+        embed_document(root);
+      } else if (document.readyState == "complete") {
+        attempts++;
+        if (attempts > 200) {
+          clearInterval(timer);
+	  var Bokeh = get_bokeh(root)
+	  if (Bokeh == null || Bokeh.Panel == null) {
+            console.warn("Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing");
+	  } else {
+	    console.warn("Panel: WARNING: Attempting to render but not all required libraries could be resolved.")
+	    embed_document(root)
+	  }
+        }
+      }
+    }, 25, root)
+  }
+})(window);</script></div><div class="output text_html"><div id='p1004'>
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+</div>
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"},"shape":[1000],"dtype":"float64","order":"little"}],["value",{"type":"ndarray","array":{"type":"bytes","data":"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+  var render_items = [{"docid":"e1f3f68e-00fd-45ce-a6ac-ff39f632092b","roots":{"p1004":"e7c6da3e-c267-4365-afc5-f6b010f4c785"},"root_ids":["p1004"]}];
+  var docs = Object.values(docs_json)
+  if (!docs) {
+    return
+  }
+  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')
+  function embed_document(root) {
+    var Bokeh = get_bokeh(root)
+    Bokeh.embed.embed_items_notebook(docs_json, render_items);
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+      for (const root_id of render_item.root_ids) {
+	const id_el = document.getElementById(root_id)
+	if (id_el.children.length && (id_el.children[0].className === 'bk-root')) {
+	  const root_el = id_el.children[0]
+	  root_el.id = root_el.id + '-rendered'
+	}
+      }
+    }
+  }
+  function get_bokeh(root) {
+    if (root.Bokeh === undefined) {
+      return null
+    } else if (root.Bokeh.version !== py_version) {
+      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {
+	return null
+      }
+      return root.Bokeh.versions.get(py_version);
+    } else if (root.Bokeh.version === py_version) {
+      return root.Bokeh
+    }
+    return null
+  }
+  function is_loaded(root) {
+    var Bokeh = get_bokeh(root)
+    return (Bokeh != null && Bokeh.Panel !== undefined)
+  }
+  if (is_loaded(root)) {
+    embed_document(root);
+  } else {
+    var attempts = 0;
+    var timer = setInterval(function(root) {
+      if (is_loaded(root)) {
+        clearInterval(timer);
+        embed_document(root);
+      } else if (document.readyState == "complete") {
+        attempts++;
+        if (attempts > 200) {
+          clearInterval(timer);
+	  var Bokeh = get_bokeh(root)
+	  if (Bokeh == null || Bokeh.Panel == null) {
+            console.warn("Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing");
+	  } else {
+	    console.warn("Panel: WARNING: Attempting to render but not all required libraries could be resolved.")
+	    embed_document(root)
+	  }
+        }
+      }
+    }, 25, root)
+  }
+})(window);</script></div></div>
+</div>
+<p>This useful diagram from <a class="reference external" href="https://hvplot.holoviz.org/index.html">hvPlot’s documentation</a> details how different high-level tools for data visualization interact.</p>
+<p><img alt="Datashader Logo" src="../_images/hvplot_diagram.svg" /></img></p>
+</div>
+<hr class="docutils" />
+<div class="section" id="summary">
+<h2>Summary<a class="headerlink" href="#summary" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>Each Python plotting library offers a slightly different niche in the data visualization world. Some are better for creating publication figures (matplotlib, cartopy, metpy, geocat-viz, uxarray) while others offer interactive functionality that is great for websites, demonstrations, and other forms of engagement (holoviews, seaborn, plotly, bokeh, and vapor). Hopefully the mini examples on this page allow you to play around and see which user interfaces you like best for your visualization needs.</p>
+<div class="section" id="whats-next">
+<h3>What’s next?<a class="headerlink" href="#whats-next" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Next up let’s discuss elements of <a class="reference internal" href="2-good-viz.html"><span class="doc std std-doc">good data visualization</span></a>.</p>
+</div>
+</div>
+<div class="section" id="resources-and-references">
+<h2>Resources and references<a class="headerlink" href="#resources-and-references" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<ul class="simple">
+<li><p><a class="reference external" href="https://matplotlib.org/">Matplotlib documentation</a></p></li>
+<li><p><a class="reference external" href="https://scitools.org.uk/cartopy/docs/latest/">Cartopy documentation</a></p></li>
+<li><p><a class="reference external" href="https://geocat-examples.readthedocs.io/en/latest/">GeoCat-examples Visualization Gallery</a></p></li>
+<li><p><a class="reference external" href="https://geocat-viz.readthedocs.io/en/latest/">GeoCAT-Viz documentation</a></p></li>
+<li><p><a class="reference external" href="https://unidata.github.io/MetPy/latest/index.html">MetPy documentation</a></p></li>
+<li><p><a class="reference external" href="https://www.vapor.ucar.edu/">Vapor documentation</a></p></li>
+<li><p><a class="reference external" href="https://plotly.com/python/">Plotly Python documentation</a></p></li>
+<li><p><a class="reference external" href="https://seaborn.pydata.org/">Seaborn documentation</a></p></li>
+<li><p><a class="reference external" href="https://bokeh.org/">Bokeh documentation</a></p></li>
+<li><p><a class="reference external" href="https://uxarray.readthedocs.io/en/latest/">UXarray documentation</a></p></li>
+<li><p><a class="reference external" href="https://hvplot.holoviz.org/index.html">hvPlot documentation</a></p></li>
+<li><p><a class="reference external" href="https://holoviews.org/">Holoviews documentation</a></p></li>
+<li><p><a class="reference external" href="https://datashader.org/">Datashader documentation</a></p></li>
+</ul>
+</div>
+</div>
+
+    <script type="text/x-thebe-config">
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+   Advanced Visualization Cookbook
+  </a>
+ </li>
+</ul>
+<p aria-level="2" class="caption" role="heading">
+ <span class="caption-text">
+  Preamble
+ </span>
+</p>
+<ul class="nav bd-sidenav">
+ <li class="toctree-l1">
+  <a class="reference internal" href="how-to-cite.html">
+   How to Cite This Cookbook
+  </a>
+ </li>
+</ul>
+<p aria-level="2" class="caption" role="heading">
+ <span class="caption-text">
+  Basics of Geoscience Visualization
+ </span>
+</p>
+<ul class="current nav bd-sidenav">
+ <li class="toctree-l1">
+  <a class="reference internal" href="1-comparison.html">
+   Comparison of Visualization Packages
+  </a>
+ </li>
+ <li class="toctree-l1 current active">
+  <a class="current reference internal" href="#">
+   What Makes for Good Data Visualization?
+  </a>
+ </li>
+ <li class="toctree-l1">
+  <a class="reference internal" href="3-plot-elements.html">
+   Plot Elements
+  </a>
+ </li>
+</ul>
+<p aria-level="2" class="caption" role="heading">
+ <span class="caption-text">
+  Specialty Plots
+ </span>
+</p>
+<ul class="nav bd-sidenav">
+ <li class="toctree-l1">
+  <a class="reference internal" href="4-taylor-diagrams.html">
+   Taylor Diagrams
+  </a>
+ </li>
+ <li class="toctree-l1">
+  <a class="reference internal" href="5-skewt.html">
+   Skew T Diagrams
+  </a>
+ </li>
+</ul>
+<p aria-level="2" class="caption" role="heading">
+ <span class="caption-text">
+  Visualization of Structured Grids
+ </span>
+</p>
+<ul class="nav bd-sidenav">
+ <li class="toctree-l1">
+  <a class="reference internal" href="6-spaghetti.html">
+   Spaghetti Plots
+  </a>
+ </li>
+</ul>
+<p aria-level="2" class="caption" role="heading">
+ <span class="caption-text">
+  Animation
+ </span>
+</p>
+<ul class="nav bd-sidenav">
+ <li class="toctree-l1">
+  <a class="reference internal" href="7-animation.html">
+   Animation
+  </a>
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+<p aria-level="2" class="caption" role="heading">
+ <span class="caption-text">
+  Interactivity
+ </span>
+</p>
+<ul class="nav bd-sidenav">
+ <li class="toctree-l1">
+  <a class="reference internal" href="8-interactive-holoviz-mpas.html">
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+All code in Pythia Cookbooks is licensed under Apache 2.0. All other non-code content is licensed under <a href="https://creativecommons.org/licenses/by/4.0/">Creative Commons BY 4.0 (CC BY 4.0)</a>.<br><br>
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+        <main class="col py-md-3 pl-md-4 bd-content overflow-auto" role="main"><div class="topbar container-xl fixed-top">
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+        <!-- ipynb file if we had a myst markdown file -->
+        
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+        <a class="dropdown-buttons" href="../_sources/notebooks/2-good-viz.ipynb"><button type="button"
+                class="btn btn-secondary topbarbtn" title="Download source file" data-toggle="tooltip"
+                data-placement="left">.ipynb</button></a>
+        <!-- Download PDF via print -->
+        <button type="button" id="download-print" class="btn btn-secondary topbarbtn" title="Print to PDF"
+                onclick="printPdf(this)" data-toggle="tooltip" data-placement="left">.pdf</button>
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+            href="https://github.com/ProjectPythia/advanced-viz-cookbook/"><button type="button" class="btn btn-secondary topbarbtn"
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+                    class="fab fa-github"></i>repository</button></a>
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+            href="https://github.com/ProjectPythia/advanced-viz-cookbook//issues/new?title=Issue%20on%20page%20%2Fnotebooks/2-good-viz.html&body=Your%20issue%20content%20here."><button
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+
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+
+<a class="full-screen-button"><button type="button" class="btn btn-secondary topbarbtn" data-toggle="tooltip"
+        data-placement="bottom" onclick="toggleFullScreen()" aria-label="Fullscreen mode"
+        title="Fullscreen mode"><i
+            class="fas fa-expand"></i></button></a>
+
+            <!-- Launch buttons -->
+
+<div class="dropdown-buttons-trigger">
+    <button id="dropdown-buttons-trigger" class="btn btn-secondary topbarbtn"
+        aria-label="Launch interactive content"><i class="fas fa-rocket"></i></button>
+    <div class="dropdown-buttons">
+        
+        <a class="binder-button" href="https://binder.projectpythia.org/v2/gh/ProjectPythia/advanced-viz-cookbook/main?urlpath=lab/tree/notebooks/2-good-viz.ipynb"><button type="button"
+                class="btn btn-secondary topbarbtn" title="Launch Binder" data-toggle="tooltip"
+                data-placement="left"><img class="binder-button-logo"
+                    src="../_static/images/logo_binder.svg"
+                    alt="Interact on binder">Binder</button></a>
+        
+        
+        
+        
+    </div>
+</div>
+
+        </div>
+
+        <!-- Table of contents -->
+        <div class="d-none d-md-block col-md-2 bd-toc show noprint">
+            
+            <div class="tocsection onthispage pt-5 pb-3">
+                <i class="fas fa-list"></i> On this page
+            </div>
+            <nav id="bd-toc-nav" aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#overview">
+   Overview
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#prerequisites">
+   Prerequisites
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#the-importance-of-data-visualization">
+   The Importance of Data Visualization
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#publication-ready-figures">
+   Publication Ready Figures
+  </a>
+  <ul class="nav section-nav flex-column">
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#matplotlib-global-parameters">
+     Matplotlib Global Parameters
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#using-geocat-viz">
+     Using GeoCAT-Viz
+    </a>
+   </li>
+  </ul>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#the-problem-with-rainbow-colormaps">
+   The Problem with Rainbow Colormaps
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#misleading-visualizations">
+   Misleading Visualizations
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#summary">
+   Summary
+  </a>
+  <ul class="nav section-nav flex-column">
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#whats-next">
+     What’s next?
+    </a>
+   </li>
+  </ul>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#resources-and-references">
+   Resources and references
+  </a>
+ </li>
+</ul>
+
+            </nav>
+        </div>
+    </div>
+</div>
+          <div id="main-content" class="row">
+            <div class="col-12 col-md-9 pl-md-3 pr-md-0">
+              
+              <div>
+                
+  <div class="tex2jax_ignore mathjax_ignore section" id="what-makes-for-good-data-visualization">
+<h1>What Makes for Good Data Visualization?<a class="headerlink" href="#what-makes-for-good-data-visualization" title="Permalink to this headline"><i class="fas fa-link"></i></a></h1>
+<div class="section" id="overview">
+<h2>Overview<a class="headerlink" href="#overview" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>What Makes a Good Visualization? We want graphics to be eye catching and informative. In this chapter we’ll discuss different aspects that can affect the quality of your figures and specific considerations relevant to the geosciences.</p>
+<ol class="arabic simple">
+<li><p>The Importance of Data Visualization</p></li>
+<li><p>Publication Ready Figures</p></li>
+<li><p>The Problem with Rainbow Colormaps</p></li>
+<li><p>Misleading Visualizations</p></li>
+</ol>
+</div>
+<div class="section" id="prerequisites">
+<h2>Prerequisites<a class="headerlink" href="#prerequisites" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<table class="colwidths-auto table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Concepts</p></th>
+<th class="head"><p>Importance</p></th>
+<th class="head"><p>Notes</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p><a class="reference external" href="https://foundations.projectpythia.org/core/matplotlib.html">Matplotlib</a></p></td>
+<td><p>Necessary</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference external" href="https://foundations.projectpythia.org/core/cartopy.html">Cartopy</a></p></td>
+<td><p>Necessary</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+<ul class="simple">
+<li><p><strong>Time to learn</strong>: 3 hours</p></li>
+</ul>
+<hr class="docutils" />
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib</span> <span class="k">as</span> <span class="nn">mpl</span>
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">geocat.viz</span> <span class="k">as</span> <span class="nn">gv</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="section" id="the-importance-of-data-visualization">
+<h2>The Importance of Data Visualization<a class="headerlink" href="#the-importance-of-data-visualization" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>It is important to use pictures to show data because we can visually detect patterns that could be lost in statistical analysis. All scientific disciplines use data visualizations to communicate concepts.</p>
+<p>Here we have a figure from <a class="reference external" href="https://www.research.autodesk.com/publications/same-stats-different-graphs/">Autodesk</a> that shows a “Datasaurus” and 12 other datasets that share the same statistical information (mean, standard deviation, etc). We can see immediately that visually are telling very different stories: be it a dinosaur, a star, an oval, concentric ovals, or a series of lines (perhaps weather fronts).</p>
+<p><img alt="Same Stats" src="../_images/same_stats.png" /></img></p>
+</div>
+<div class="section" id="publication-ready-figures">
+<h2>Publication Ready Figures<a class="headerlink" href="#publication-ready-figures" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>For your figure to be publication rady, you probably want to change some of Matplotlib’s default plotting settings: selecting fontsizes for your titles and labels, changing figure sizes, or subplot/colormap layout.</p>
+<p>To demonstrate this, let’s look at an example:</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># fake data</span>
+<span class="n">x</span> <span class="o">=</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">]</span>
+<span class="n">y</span> <span class="o">=</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mi">9</span><span class="p">,</span> <span class="mi">12</span><span class="p">,</span> <span class="mi">15</span><span class="p">]</span>
+ 
+<span class="c1"># plot</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span>
+
+<span class="c1"># annotate</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Title&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;X Label&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;Y Label&#39;</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">();</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/17fc019c71486487287e9330a541564470dddfdc161a488a95cbcf90037583bd.png" src="../_images/17fc019c71486487287e9330a541564470dddfdc161a488a95cbcf90037583bd.png" />
+</div>
+</div>
+<p>Now let’s show some customization options:</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># fake data</span>
+<span class="n">x</span> <span class="o">=</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">]</span>
+<span class="n">y</span> <span class="o">=</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mi">9</span><span class="p">,</span> <span class="mi">12</span><span class="p">,</span> <span class="mi">15</span><span class="p">]</span>
+ 
+<span class="c1"># plot</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="s1">&#39;--&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;red&#39;</span><span class="p">)</span>
+
+<span class="c1"># annotate</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Title&#39;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">20</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;X Label&#39;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;Y Label&#39;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">();</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/32ba876eb108bc105b1b49a3548bee05938c6f6f26e1c3f494d7278ee35d46f0.png" src="../_images/32ba876eb108bc105b1b49a3548bee05938c6f6f26e1c3f494d7278ee35d46f0.png" />
+</div>
+</div>
+<div class="section" id="matplotlib-global-parameters">
+<h3>Matplotlib Global Parameters<a class="headerlink" href="#matplotlib-global-parameters" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Matplotlib has defaults for fontsizes and all sorts of attributes of a plot. Instead of setting your fontsize in every script, it is possible to set global parameters to change the default values of these attributes.</p>
+<p>You can veiw the globoal parameters options and their current settings with:</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="o">.</span><span class="n">keys</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;bound method Mapping.keys of RcParams({&#39;_internal.classic_mode&#39;: False,
+          &#39;agg.path.chunksize&#39;: 0,
+          &#39;animation.bitrate&#39;: -1,
+          &#39;animation.codec&#39;: &#39;h264&#39;,
+          &#39;animation.convert_args&#39;: [&#39;-layers&#39;, &#39;OptimizePlus&#39;],
+          &#39;animation.convert_path&#39;: &#39;convert&#39;,
+          &#39;animation.embed_limit&#39;: 20.0,
+          &#39;animation.ffmpeg_args&#39;: [],
+          &#39;animation.ffmpeg_path&#39;: &#39;ffmpeg&#39;,
+          &#39;animation.frame_format&#39;: &#39;png&#39;,
+          &#39;animation.html&#39;: &#39;none&#39;,
+          &#39;animation.writer&#39;: &#39;ffmpeg&#39;,
+          &#39;axes.autolimit_mode&#39;: &#39;data&#39;,
+          &#39;axes.axisbelow&#39;: &#39;line&#39;,
+          &#39;axes.edgecolor&#39;: &#39;black&#39;,
+          &#39;axes.facecolor&#39;: &#39;white&#39;,
+          &#39;axes.formatter.limits&#39;: [-5, 6],
+          &#39;axes.formatter.min_exponent&#39;: 0,
+          &#39;axes.formatter.offset_threshold&#39;: 4,
+          &#39;axes.formatter.use_locale&#39;: False,
+          &#39;axes.formatter.use_mathtext&#39;: False,
+          &#39;axes.formatter.useoffset&#39;: True,
+          &#39;axes.grid&#39;: False,
+          &#39;axes.grid.axis&#39;: &#39;both&#39;,
+          &#39;axes.grid.which&#39;: &#39;major&#39;,
+          &#39;axes.labelcolor&#39;: &#39;black&#39;,
+          &#39;axes.labelpad&#39;: 4.0,
+          &#39;axes.labelsize&#39;: &#39;medium&#39;,
+          &#39;axes.labelweight&#39;: &#39;normal&#39;,
+          &#39;axes.linewidth&#39;: 0.8,
+          &#39;axes.prop_cycle&#39;: cycler(&#39;color&#39;, [&#39;#1f77b4&#39;, &#39;#ff7f0e&#39;, &#39;#2ca02c&#39;, &#39;#d62728&#39;, &#39;#9467bd&#39;, &#39;#8c564b&#39;, &#39;#e377c2&#39;, &#39;#7f7f7f&#39;, &#39;#bcbd22&#39;, &#39;#17becf&#39;]),
+          &#39;axes.spines.bottom&#39;: True,
+          &#39;axes.spines.left&#39;: True,
+          &#39;axes.spines.right&#39;: True,
+          &#39;axes.spines.top&#39;: True,
+          &#39;axes.titlecolor&#39;: &#39;auto&#39;,
+          &#39;axes.titlelocation&#39;: &#39;center&#39;,
+          &#39;axes.titlepad&#39;: 6.0,
+          &#39;axes.titlesize&#39;: &#39;large&#39;,
+          &#39;axes.titleweight&#39;: &#39;normal&#39;,
+          &#39;axes.titley&#39;: None,
+          &#39;axes.unicode_minus&#39;: True,
+          &#39;axes.xmargin&#39;: 0.05,
+          &#39;axes.ymargin&#39;: 0.05,
+          &#39;axes.zmargin&#39;: 0.05,
+          &#39;axes3d.grid&#39;: True,
+          &#39;axes3d.xaxis.panecolor&#39;: (0.95, 0.95, 0.95, 0.5),
+          &#39;axes3d.yaxis.panecolor&#39;: (0.9, 0.9, 0.9, 0.5),
+          &#39;axes3d.zaxis.panecolor&#39;: (0.925, 0.925, 0.925, 0.5),
+          &#39;backend&#39;: &#39;module://matplotlib_inline.backend_inline&#39;,
+          &#39;backend_fallback&#39;: True,
+          &#39;boxplot.bootstrap&#39;: None,
+          &#39;boxplot.boxprops.color&#39;: &#39;black&#39;,
+          &#39;boxplot.boxprops.linestyle&#39;: &#39;-&#39;,
+          &#39;boxplot.boxprops.linewidth&#39;: 1.0,
+          &#39;boxplot.capprops.color&#39;: &#39;black&#39;,
+          &#39;boxplot.capprops.linestyle&#39;: &#39;-&#39;,
+          &#39;boxplot.capprops.linewidth&#39;: 1.0,
+          &#39;boxplot.flierprops.color&#39;: &#39;black&#39;,
+          &#39;boxplot.flierprops.linestyle&#39;: &#39;none&#39;,
+          &#39;boxplot.flierprops.linewidth&#39;: 1.0,
+          &#39;boxplot.flierprops.marker&#39;: &#39;o&#39;,
+          &#39;boxplot.flierprops.markeredgecolor&#39;: &#39;black&#39;,
+          &#39;boxplot.flierprops.markeredgewidth&#39;: 1.0,
+          &#39;boxplot.flierprops.markerfacecolor&#39;: &#39;none&#39;,
+          &#39;boxplot.flierprops.markersize&#39;: 6.0,
+          &#39;boxplot.meanline&#39;: False,
+          &#39;boxplot.meanprops.color&#39;: &#39;C2&#39;,
+          &#39;boxplot.meanprops.linestyle&#39;: &#39;--&#39;,
+          &#39;boxplot.meanprops.linewidth&#39;: 1.0,
+          &#39;boxplot.meanprops.marker&#39;: &#39;^&#39;,
+          &#39;boxplot.meanprops.markeredgecolor&#39;: &#39;C2&#39;,
+          &#39;boxplot.meanprops.markerfacecolor&#39;: &#39;C2&#39;,
+          &#39;boxplot.meanprops.markersize&#39;: 6.0,
+          &#39;boxplot.medianprops.color&#39;: &#39;C1&#39;,
+          &#39;boxplot.medianprops.linestyle&#39;: &#39;-&#39;,
+          &#39;boxplot.medianprops.linewidth&#39;: 1.0,
+          &#39;boxplot.notch&#39;: False,
+          &#39;boxplot.patchartist&#39;: False,
+          &#39;boxplot.showbox&#39;: True,
+          &#39;boxplot.showcaps&#39;: True,
+          &#39;boxplot.showfliers&#39;: True,
+          &#39;boxplot.showmeans&#39;: False,
+          &#39;boxplot.vertical&#39;: True,
+          &#39;boxplot.whiskerprops.color&#39;: &#39;black&#39;,
+          &#39;boxplot.whiskerprops.linestyle&#39;: &#39;-&#39;,
+          &#39;boxplot.whiskerprops.linewidth&#39;: 1.0,
+          &#39;boxplot.whiskers&#39;: 1.5,
+          &#39;contour.algorithm&#39;: &#39;mpl2014&#39;,
+          &#39;contour.corner_mask&#39;: True,
+          &#39;contour.linewidth&#39;: None,
+          &#39;contour.negative_linestyle&#39;: &#39;dashed&#39;,
+          &#39;date.autoformatter.day&#39;: &#39;%Y-%m-%d&#39;,
+          &#39;date.autoformatter.hour&#39;: &#39;%m-%d %H&#39;,
+          &#39;date.autoformatter.microsecond&#39;: &#39;%M:%S.%f&#39;,
+          &#39;date.autoformatter.minute&#39;: &#39;%d %H:%M&#39;,
+          &#39;date.autoformatter.month&#39;: &#39;%Y-%m&#39;,
+          &#39;date.autoformatter.second&#39;: &#39;%H:%M:%S&#39;,
+          &#39;date.autoformatter.year&#39;: &#39;%Y&#39;,
+          &#39;date.converter&#39;: &#39;auto&#39;,
+          &#39;date.epoch&#39;: &#39;1970-01-01T00:00:00&#39;,
+          &#39;date.interval_multiples&#39;: True,
+          &#39;docstring.hardcopy&#39;: False,
+          &#39;errorbar.capsize&#39;: 0.0,
+          &#39;figure.autolayout&#39;: False,
+          &#39;figure.constrained_layout.h_pad&#39;: 0.04167,
+          &#39;figure.constrained_layout.hspace&#39;: 0.02,
+          &#39;figure.constrained_layout.use&#39;: False,
+          &#39;figure.constrained_layout.w_pad&#39;: 0.04167,
+          &#39;figure.constrained_layout.wspace&#39;: 0.02,
+          &#39;figure.dpi&#39;: 100.0,
+          &#39;figure.edgecolor&#39;: &#39;white&#39;,
+          &#39;figure.facecolor&#39;: &#39;white&#39;,
+          &#39;figure.figsize&#39;: [6.4, 4.8],
+          &#39;figure.frameon&#39;: True,
+          &#39;figure.hooks&#39;: [],
+          &#39;figure.labelsize&#39;: &#39;large&#39;,
+          &#39;figure.labelweight&#39;: &#39;normal&#39;,
+          &#39;figure.max_open_warning&#39;: 20,
+          &#39;figure.raise_window&#39;: True,
+          &#39;figure.subplot.bottom&#39;: 0.11,
+          &#39;figure.subplot.hspace&#39;: 0.2,
+          &#39;figure.subplot.left&#39;: 0.125,
+          &#39;figure.subplot.right&#39;: 0.9,
+          &#39;figure.subplot.top&#39;: 0.88,
+          &#39;figure.subplot.wspace&#39;: 0.2,
+          &#39;figure.titlesize&#39;: &#39;large&#39;,
+          &#39;figure.titleweight&#39;: &#39;normal&#39;,
+          &#39;font.cursive&#39;: [&#39;Apple Chancery&#39;,
+                           &#39;Textile&#39;,
+                           &#39;Zapf Chancery&#39;,
+                           &#39;Sand&#39;,
+                           &#39;Script MT&#39;,
+                           &#39;Felipa&#39;,
+                           &#39;Comic Neue&#39;,
+                           &#39;Comic Sans MS&#39;,
+                           &#39;cursive&#39;],
+          &#39;font.family&#39;: [&#39;sans-serif&#39;],
+          &#39;font.fantasy&#39;: [&#39;Chicago&#39;,
+                           &#39;Charcoal&#39;,
+                           &#39;Impact&#39;,
+                           &#39;Western&#39;,
+                           &#39;Humor Sans&#39;,
+                           &#39;xkcd&#39;,
+                           &#39;fantasy&#39;],
+          &#39;font.monospace&#39;: [&#39;DejaVu Sans Mono&#39;,
+                             &#39;Bitstream Vera Sans Mono&#39;,
+                             &#39;Computer Modern Typewriter&#39;,
+                             &#39;Andale Mono&#39;,
+                             &#39;Nimbus Mono L&#39;,
+                             &#39;Courier New&#39;,
+                             &#39;Courier&#39;,
+                             &#39;Fixed&#39;,
+                             &#39;Terminal&#39;,
+                             &#39;monospace&#39;],
+          &#39;font.sans-serif&#39;: [&#39;DejaVu Sans&#39;,
+                              &#39;Bitstream Vera Sans&#39;,
+                              &#39;Computer Modern Sans Serif&#39;,
+                              &#39;Lucida Grande&#39;,
+                              &#39;Verdana&#39;,
+                              &#39;Geneva&#39;,
+                              &#39;Lucid&#39;,
+                              &#39;Arial&#39;,
+                              &#39;Helvetica&#39;,
+                              &#39;Avant Garde&#39;,
+                              &#39;sans-serif&#39;],
+          &#39;font.serif&#39;: [&#39;DejaVu Serif&#39;,
+                         &#39;Bitstream Vera Serif&#39;,
+                         &#39;Computer Modern Roman&#39;,
+                         &#39;New Century Schoolbook&#39;,
+                         &#39;Century Schoolbook L&#39;,
+                         &#39;Utopia&#39;,
+                         &#39;ITC Bookman&#39;,
+                         &#39;Bookman&#39;,
+                         &#39;Nimbus Roman No9 L&#39;,
+                         &#39;Times New Roman&#39;,
+                         &#39;Times&#39;,
+                         &#39;Palatino&#39;,
+                         &#39;Charter&#39;,
+                         &#39;serif&#39;],
+          &#39;font.size&#39;: 10.0,
+          &#39;font.stretch&#39;: &#39;normal&#39;,
+          &#39;font.style&#39;: &#39;normal&#39;,
+          &#39;font.variant&#39;: &#39;normal&#39;,
+          &#39;font.weight&#39;: &#39;normal&#39;,
+          &#39;grid.alpha&#39;: 1.0,
+          &#39;grid.color&#39;: &#39;#b0b0b0&#39;,
+          &#39;grid.linestyle&#39;: &#39;-&#39;,
+          &#39;grid.linewidth&#39;: 0.8,
+          &#39;hatch.color&#39;: &#39;black&#39;,
+          &#39;hatch.linewidth&#39;: 1.0,
+          &#39;hist.bins&#39;: 10,
+          &#39;image.aspect&#39;: &#39;equal&#39;,
+          &#39;image.cmap&#39;: &#39;viridis&#39;,
+          &#39;image.composite_image&#39;: True,
+          &#39;image.interpolation&#39;: &#39;antialiased&#39;,
+          &#39;image.lut&#39;: 256,
+          &#39;image.origin&#39;: &#39;upper&#39;,
+          &#39;image.resample&#39;: True,
+          &#39;interactive&#39;: True,
+          &#39;keymap.back&#39;: [&#39;left&#39;, &#39;c&#39;, &#39;backspace&#39;, &#39;MouseButton.BACK&#39;],
+          &#39;keymap.copy&#39;: [&#39;ctrl+c&#39;, &#39;cmd+c&#39;],
+          &#39;keymap.forward&#39;: [&#39;right&#39;, &#39;v&#39;, &#39;MouseButton.FORWARD&#39;],
+          &#39;keymap.fullscreen&#39;: [&#39;f&#39;, &#39;ctrl+f&#39;],
+          &#39;keymap.grid&#39;: [&#39;g&#39;],
+          &#39;keymap.grid_minor&#39;: [&#39;G&#39;],
+          &#39;keymap.help&#39;: [&#39;f1&#39;],
+          &#39;keymap.home&#39;: [&#39;h&#39;, &#39;r&#39;, &#39;home&#39;],
+          &#39;keymap.pan&#39;: [&#39;p&#39;],
+          &#39;keymap.quit&#39;: [&#39;ctrl+w&#39;, &#39;cmd+w&#39;, &#39;q&#39;],
+          &#39;keymap.quit_all&#39;: [],
+          &#39;keymap.save&#39;: [&#39;s&#39;, &#39;ctrl+s&#39;],
+          &#39;keymap.xscale&#39;: [&#39;k&#39;, &#39;L&#39;],
+          &#39;keymap.yscale&#39;: [&#39;l&#39;],
+          &#39;keymap.zoom&#39;: [&#39;o&#39;],
+          &#39;legend.borderaxespad&#39;: 0.5,
+          &#39;legend.borderpad&#39;: 0.4,
+          &#39;legend.columnspacing&#39;: 2.0,
+          &#39;legend.edgecolor&#39;: &#39;0.8&#39;,
+          &#39;legend.facecolor&#39;: &#39;inherit&#39;,
+          &#39;legend.fancybox&#39;: True,
+          &#39;legend.fontsize&#39;: &#39;medium&#39;,
+          &#39;legend.framealpha&#39;: 0.8,
+          &#39;legend.frameon&#39;: True,
+          &#39;legend.handleheight&#39;: 0.7,
+          &#39;legend.handlelength&#39;: 2.0,
+          &#39;legend.handletextpad&#39;: 0.8,
+          &#39;legend.labelcolor&#39;: &#39;None&#39;,
+          &#39;legend.labelspacing&#39;: 0.5,
+          &#39;legend.loc&#39;: &#39;best&#39;,
+          &#39;legend.markerscale&#39;: 1.0,
+          &#39;legend.numpoints&#39;: 1,
+          &#39;legend.scatterpoints&#39;: 1,
+          &#39;legend.shadow&#39;: False,
+          &#39;legend.title_fontsize&#39;: None,
+          &#39;lines.antialiased&#39;: True,
+          &#39;lines.color&#39;: &#39;C0&#39;,
+          &#39;lines.dash_capstyle&#39;: &lt;CapStyle.butt: &#39;butt&#39;&gt;,
+          &#39;lines.dash_joinstyle&#39;: &lt;JoinStyle.round: &#39;round&#39;&gt;,
+          &#39;lines.dashdot_pattern&#39;: [6.4, 1.6, 1.0, 1.6],
+          &#39;lines.dashed_pattern&#39;: [3.7, 1.6],
+          &#39;lines.dotted_pattern&#39;: [1.0, 1.65],
+          &#39;lines.linestyle&#39;: &#39;-&#39;,
+          &#39;lines.linewidth&#39;: 1.5,
+          &#39;lines.marker&#39;: &#39;None&#39;,
+          &#39;lines.markeredgecolor&#39;: &#39;auto&#39;,
+          &#39;lines.markeredgewidth&#39;: 1.0,
+          &#39;lines.markerfacecolor&#39;: &#39;auto&#39;,
+          &#39;lines.markersize&#39;: 6.0,
+          &#39;lines.scale_dashes&#39;: True,
+          &#39;lines.solid_capstyle&#39;: &lt;CapStyle.projecting: &#39;projecting&#39;&gt;,
+          &#39;lines.solid_joinstyle&#39;: &lt;JoinStyle.round: &#39;round&#39;&gt;,
+          &#39;markers.fillstyle&#39;: &#39;full&#39;,
+          &#39;mathtext.bf&#39;: &#39;sans:bold&#39;,
+          &#39;mathtext.cal&#39;: &#39;cursive&#39;,
+          &#39;mathtext.default&#39;: &#39;it&#39;,
+          &#39;mathtext.fallback&#39;: &#39;cm&#39;,
+          &#39;mathtext.fontset&#39;: &#39;dejavusans&#39;,
+          &#39;mathtext.it&#39;: &#39;sans:italic&#39;,
+          &#39;mathtext.rm&#39;: &#39;sans&#39;,
+          &#39;mathtext.sf&#39;: &#39;sans&#39;,
+          &#39;mathtext.tt&#39;: &#39;monospace&#39;,
+          &#39;patch.antialiased&#39;: True,
+          &#39;patch.edgecolor&#39;: &#39;black&#39;,
+          &#39;patch.facecolor&#39;: &#39;C0&#39;,
+          &#39;patch.force_edgecolor&#39;: False,
+          &#39;patch.linewidth&#39;: 1.0,
+          &#39;path.effects&#39;: [],
+          &#39;path.simplify&#39;: True,
+          &#39;path.simplify_threshold&#39;: 0.111111111111,
+          &#39;path.sketch&#39;: None,
+          &#39;path.snap&#39;: True,
+          &#39;pcolor.shading&#39;: &#39;auto&#39;,
+          &#39;pcolormesh.snap&#39;: True,
+          &#39;pdf.compression&#39;: 6,
+          &#39;pdf.fonttype&#39;: 3,
+          &#39;pdf.inheritcolor&#39;: False,
+          &#39;pdf.use14corefonts&#39;: False,
+          &#39;pgf.preamble&#39;: &#39;&#39;,
+          &#39;pgf.rcfonts&#39;: True,
+          &#39;pgf.texsystem&#39;: &#39;xelatex&#39;,
+          &#39;polaraxes.grid&#39;: True,
+          &#39;ps.distiller.res&#39;: 6000,
+          &#39;ps.fonttype&#39;: 3,
+          &#39;ps.papersize&#39;: &#39;letter&#39;,
+          &#39;ps.useafm&#39;: False,
+          &#39;ps.usedistiller&#39;: None,
+          &#39;savefig.bbox&#39;: None,
+          &#39;savefig.directory&#39;: &#39;~&#39;,
+          &#39;savefig.dpi&#39;: &#39;figure&#39;,
+          &#39;savefig.edgecolor&#39;: &#39;auto&#39;,
+          &#39;savefig.facecolor&#39;: &#39;auto&#39;,
+          &#39;savefig.format&#39;: &#39;png&#39;,
+          &#39;savefig.orientation&#39;: &#39;portrait&#39;,
+          &#39;savefig.pad_inches&#39;: 0.1,
+          &#39;savefig.transparent&#39;: False,
+          &#39;scatter.edgecolors&#39;: &#39;face&#39;,
+          &#39;scatter.marker&#39;: &#39;o&#39;,
+          &#39;svg.fonttype&#39;: &#39;path&#39;,
+          &#39;svg.hashsalt&#39;: None,
+          &#39;svg.image_inline&#39;: True,
+          &#39;text.antialiased&#39;: True,
+          &#39;text.color&#39;: &#39;black&#39;,
+          &#39;text.hinting&#39;: &#39;force_autohint&#39;,
+          &#39;text.hinting_factor&#39;: 8,
+          &#39;text.kerning_factor&#39;: 0,
+          &#39;text.latex.preamble&#39;: &#39;&#39;,
+          &#39;text.parse_math&#39;: True,
+          &#39;text.usetex&#39;: False,
+          &#39;timezone&#39;: &#39;UTC&#39;,
+          &#39;tk.window_focus&#39;: False,
+          &#39;toolbar&#39;: &#39;toolbar2&#39;,
+          &#39;webagg.address&#39;: &#39;127.0.0.1&#39;,
+          &#39;webagg.open_in_browser&#39;: True,
+          &#39;webagg.port&#39;: 8988,
+          &#39;webagg.port_retries&#39;: 50,
+          &#39;xaxis.labellocation&#39;: &#39;center&#39;,
+          &#39;xtick.alignment&#39;: &#39;center&#39;,
+          &#39;xtick.bottom&#39;: True,
+          &#39;xtick.color&#39;: &#39;black&#39;,
+          &#39;xtick.direction&#39;: &#39;out&#39;,
+          &#39;xtick.labelbottom&#39;: True,
+          &#39;xtick.labelcolor&#39;: &#39;inherit&#39;,
+          &#39;xtick.labelsize&#39;: &#39;medium&#39;,
+          &#39;xtick.labeltop&#39;: False,
+          &#39;xtick.major.bottom&#39;: True,
+          &#39;xtick.major.pad&#39;: 3.5,
+          &#39;xtick.major.size&#39;: 3.5,
+          &#39;xtick.major.top&#39;: True,
+          &#39;xtick.major.width&#39;: 0.8,
+          &#39;xtick.minor.bottom&#39;: True,
+          &#39;xtick.minor.pad&#39;: 3.4,
+          &#39;xtick.minor.size&#39;: 2.0,
+          &#39;xtick.minor.top&#39;: True,
+          &#39;xtick.minor.visible&#39;: False,
+          &#39;xtick.minor.width&#39;: 0.6,
+          &#39;xtick.top&#39;: False,
+          &#39;yaxis.labellocation&#39;: &#39;center&#39;,
+          &#39;ytick.alignment&#39;: &#39;center_baseline&#39;,
+          &#39;ytick.color&#39;: &#39;black&#39;,
+          &#39;ytick.direction&#39;: &#39;out&#39;,
+          &#39;ytick.labelcolor&#39;: &#39;inherit&#39;,
+          &#39;ytick.labelleft&#39;: True,
+          &#39;ytick.labelright&#39;: False,
+          &#39;ytick.labelsize&#39;: &#39;medium&#39;,
+          &#39;ytick.left&#39;: True,
+          &#39;ytick.major.left&#39;: True,
+          &#39;ytick.major.pad&#39;: 3.5,
+          &#39;ytick.major.right&#39;: True,
+          &#39;ytick.major.size&#39;: 3.5,
+          &#39;ytick.major.width&#39;: 0.8,
+          &#39;ytick.minor.left&#39;: True,
+          &#39;ytick.minor.pad&#39;: 3.4,
+          &#39;ytick.minor.right&#39;: True,
+          &#39;ytick.minor.size&#39;: 2.0,
+          &#39;ytick.minor.visible&#39;: False,
+          &#39;ytick.minor.width&#39;: 0.6,
+          &#39;ytick.right&#39;: False})&gt;
+</pre></div>
+</div>
+</div>
+</div>
+<p>To change any given parameter you would use the following command (replacing your parameter and value, of course):</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">mpl</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">&#39;font.family&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;Arial&#39;</span>
+</pre></div>
+</div>
+</div>
+<div class="section" id="using-geocat-viz">
+<h3>Using GeoCAT-Viz<a class="headerlink" href="#using-geocat-viz" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>The GeoCAT-Viz package also has many utility functions for making your plots looks publication ready in fewer lines of code. The defaults of GeoCAT-viz keword-arguments are set to resemble the style of NCL.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># fake data</span>
+<span class="n">x</span> <span class="o">=</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">]</span>
+<span class="n">y</span> <span class="o">=</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mi">9</span><span class="p">,</span> <span class="mi">12</span><span class="p">,</span> <span class="mi">15</span><span class="p">]</span>
+ 
+<span class="c1"># plot</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span>
+
+<span class="c1"># annotate</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Title&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;X Label&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;Y Label&#39;</span><span class="p">)</span>
+
+<span class="n">gv</span><span class="o">.</span><span class="n">set_titles_and_labels</span><span class="p">(</span><span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">())</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">();</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/17fc019c71486487287e9330a541564470dddfdc161a488a95cbcf90037583bd.png" src="../_images/17fc019c71486487287e9330a541564470dddfdc161a488a95cbcf90037583bd.png" />
+</div>
+</div>
+</div>
+</div>
+<div class="section" id="the-problem-with-rainbow-colormaps">
+<h2>The Problem with Rainbow Colormaps<a class="headerlink" href="#the-problem-with-rainbow-colormaps" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>Rainbow colormaps are visually beautiful, but are falling out of favor because</p>
+<ol class="arabic simple">
+<li><p>They are not colorblind friendly and</p></li>
+<li><p>They do not print out in grayscale in a meaningful way.</p></li>
+</ol>
+<p>Both of these issues can be addressed by bing careful about you colormaps lightness-values.</p>
+<p>Some colormaps options are perceptually uniform (the same lightness value), sequentially ordered (goes from lighter to darker), or diverging (lightest or darkest at a set point and uniformly changes lightness going out). A rainbow colormap however is lighter or darker in arbitrary places and it affects how we interpret data (especially if it was printed out in grayscale).</p>
+<p>For example, from <a class="reference external" href="https://matplotlib.org/stable/tutorials/colors/colormaps.html">Matplotlib’s Choosing a Colormap documentation</a> here are some “good” colormaps:</p>
+<p><img alt="Matplotlib Logo" src="https://matplotlib.org/stable/_images/sphx_glr_colormaps_016_2_00x.png" /></img></p>
+<p>And here are miscellaneous colormaps:</p>
+<p><img alt="Matplotlib Logo" src="https://matplotlib.org/stable/_images/sphx_glr_colormaps_021_2_00x.png" /></img></p>
+<p>Looking at the colors in grayscale helps to understand why we might prefer a sequentially ordered colormap. Some grayscale values are duplicated and the reader will not know if it is a high or low value.</p>
+<p>Another consideration that can help those who are visually impaired is to make sure your figure comments are substantial. Use words to paint the picture of what is displayed, not just the conclusions you want the reader to get.</p>
+</div>
+<div class="section" id="misleading-visualizations">
+<h2>Misleading Visualizations<a class="headerlink" href="#misleading-visualizations" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>The scales or colors we choose to use for data visualization affect how people interpret figures. You should strive to make your visualizations as accurate and as informative as possible. Here are some examples that demonstrate just how different a figure can look based on these choices you make. Do not intentionally mislead your audience!</p>
+<p>Perhaps the most common data visualization manipulation is to change the Y-scale. If a plot does not begin at 0, small changes in magnitude can be exhaggerated. Similarly a logarithmic scale will amplify changes. This is not always disingenuous, sometimes these changes are what you want to highlight, the pattern you want to draw attention to. Just make sure it is appropriate for your use case and documented. Alternatively, extending the Y-axis too large has the opposite affect and smooths out the differences in data.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">x</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">]</span>
+<span class="n">y</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1101</span><span class="p">,</span> <span class="mi">1011</span><span class="p">,</span> <span class="mi">1111</span><span class="p">,</span> <span class="mi">1070</span><span class="p">,</span> <span class="mi">1050</span><span class="p">]</span>
+
+
+<span class="n">fig</span><span class="p">,</span> <span class="p">(</span><span class="n">ax1</span><span class="p">,</span> <span class="n">ax2</span><span class="p">,</span> <span class="n">ax3</span><span class="p">,</span> <span class="n">ax4</span><span class="p">)</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">4</span><span class="p">)</span>
+<span class="n">fig</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span>
+
+<span class="n">ax1</span><span class="o">.</span><span class="n">bar</span><span class="p">(</span><span class="n">x</span><span class="p">,</span><span class="n">y</span><span class="p">)</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;Default Y-Scale Starts at 0&quot;</span><span class="p">)</span>
+
+<span class="n">ax2</span><span class="o">.</span><span class="n">bar</span><span class="p">(</span><span class="n">x</span><span class="p">,</span><span class="n">y</span><span class="p">)</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">(</span><span class="mi">1000</span><span class="p">)</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;Y-Scale Starts at 1000&quot;</span><span class="p">)</span>
+
+<span class="n">ax3</span><span class="o">.</span><span class="n">bar</span><span class="p">(</span><span class="n">x</span><span class="p">,</span><span class="n">y</span><span class="p">)</span>
+<span class="n">ax3</span><span class="o">.</span><span class="n">set_yscale</span><span class="p">(</span><span class="s2">&quot;log&quot;</span><span class="p">)</span>
+<span class="n">ax3</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;Y-Scale is Logarithmic&quot;</span><span class="p">);</span>
+
+<span class="n">ax4</span><span class="o">.</span><span class="n">bar</span><span class="p">(</span><span class="n">x</span><span class="p">,</span><span class="n">y</span><span class="p">)</span>
+<span class="n">ax4</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">2000</span><span class="p">)</span>
+<span class="n">ax4</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;Y-Scale is Extended&quot;</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/f8d704cbf0d48ea075db427f2abc2594166ddaec40802138164a9c0a595b2a9c.png" src="../_images/f8d704cbf0d48ea075db427f2abc2594166ddaec40802138164a9c0a595b2a9c.png" />
+</div>
+</div>
+<p>Other examples of data visualization manipulation include improper scaling, cherry picking a small non-representative subset of the data to display, displaying pie charts at a slant (pie charts are hard to interpet accurately as is), and unusing unexpected colormaps.</p>
+</div>
+<hr class="docutils" />
+<div class="section" id="summary">
+<h2>Summary<a class="headerlink" href="#summary" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>It is important to have accurate, engaging, and representative data visualization to accumpany your research, both for data exploration as part of the scientific process, for communication of results, and education/outreach efforts. Visually we pick up on patterns that statistics alone may not convey. However, an over reliance on data visualization can make science less accessible to those with vision disabilities. It is important to be cognicent of the patterns our minds pick up, be it based on color or y-axis scaling, so that we can avoid misleading our audience and more accurately convey the narrative inherent to the data.</p>
+<div class="section" id="whats-next">
+<h3>What’s next?<a class="headerlink" href="#whats-next" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Let’s break down the different components of data visualization in <a class="reference internal" href="3-plot-elements.html"><span class="doc std std-doc">Plot Elements</span></a>.</p>
+</div>
+</div>
+<div class="section" id="resources-and-references">
+<h2>Resources and references<a class="headerlink" href="#resources-and-references" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<ul class="simple">
+<li><p><a class="reference external" href="https://www.research.autodesk.com/publications/same-stats-different-graphs/">Autodesk</a></p></li>
+<li><p><a class="reference external" href="https://matplotlib.org/stable/tutorials/colors/colormaps.html">Matplotlib’s Choosing a Colormap documentation</a></p></li>
+<li><p><a class="reference external" href="https://geocat-examples.readthedocs.io/en/latest/">GeoCAT-examples Gallery</a></p></li>
+<li><p><a class="reference external" href="https://docs.google.com/document/d/1PxJBbYJsI5nmR9pDQmcRM0ZghRPSI_xlzGVhw3AEUms/edit">NWSC Script</a></p></li>
+<li><p><a class="reference external" href="https://arxiv.org/pdf/2207.13220.pdf">Beyond Visuals: Examining the Experiences of Geoscience
+Professionals With Vision Disabilities in Accessing Data Visualizations</a></p></li>
+<li><p><a class="reference external" href="https://www.research.autodesk.com/app/uploads/2023/03/same-stats-different-graphs.pdf_rec2hRjLLGgM7Cn2T.pdf">Same Stats Different Graphs: Generating Datasets with Varied Appearance and
+Identical Statistics through Simulated Annealing</a></p></li>
+<li><p>Alberto Cairo’s How Charts Lie: Getting Smarter about Visual Information</p></li>
+<li><p><a class="reference external" href="https://blog.coupler.io/misleading-data-visualization-examples/">Misleading Data Visualization – What to Avoid</a></p></li>
+</ul>
+</div>
+</div>
+
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+   How to Cite This Cookbook
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+  Basics of Geoscience Visualization
+ </span>
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+ <li class="toctree-l1">
+  <a class="reference internal" href="1-comparison.html">
+   Comparison of Visualization Packages
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+   What Makes for Good Data Visualization?
+  </a>
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+  <a class="current reference internal" href="#">
+   Plot Elements
+  </a>
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+ <span class="caption-text">
+  Specialty Plots
+ </span>
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+<ul class="nav bd-sidenav">
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+  <a class="reference internal" href="4-taylor-diagrams.html">
+   Taylor Diagrams
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+   Skew T Diagrams
+  </a>
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+ <span class="caption-text">
+  Visualization of Structured Grids
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+  Animation
+ </span>
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+   Animation
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+  Interactivity
+ </span>
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+                title="Edit this page"><i class="fas fa-pencil-alt"></i>suggest edit</button></a>
+    </div>
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+        data-placement="bottom" onclick="toggleFullScreen()" aria-label="Fullscreen mode"
+        title="Fullscreen mode"><i
+            class="fas fa-expand"></i></button></a>
+
+            <!-- Launch buttons -->
+
+<div class="dropdown-buttons-trigger">
+    <button id="dropdown-buttons-trigger" class="btn btn-secondary topbarbtn"
+        aria-label="Launch interactive content"><i class="fas fa-rocket"></i></button>
+    <div class="dropdown-buttons">
+        
+        <a class="binder-button" href="https://binder.projectpythia.org/v2/gh/ProjectPythia/advanced-viz-cookbook/main?urlpath=lab/tree/notebooks/3-plot-elements.ipynb"><button type="button"
+                class="btn btn-secondary topbarbtn" title="Launch Binder" data-toggle="tooltip"
+                data-placement="left"><img class="binder-button-logo"
+                    src="../_static/images/logo_binder.svg"
+                    alt="Interact on binder">Binder</button></a>
+        
+        
+        
+        
+    </div>
+</div>
+
+        </div>
+
+        <!-- Table of contents -->
+        <div class="d-none d-md-block col-md-2 bd-toc show noprint">
+            
+            <div class="tocsection onthispage pt-5 pb-3">
+                <i class="fas fa-list"></i> On this page
+            </div>
+            <nav id="bd-toc-nav" aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#prerequisites">
+   Prerequisites
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#data">
+   Data
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#figure">
+   Figure
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#axis">
+   Axis
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#plot">
+   Plot
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#titles-and-labels">
+   Titles and Labels
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#legends">
+   Legends
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#colorbars">
+   Colorbars
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#annotations">
+   Annotations
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#summary">
+   Summary
+  </a>
+  <ul class="nav section-nav flex-column">
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#whats-next">
+     What’s next?
+    </a>
+   </li>
+  </ul>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#resources-and-references">
+   Resources and references
+  </a>
+ </li>
+</ul>
+
+            </nav>
+        </div>
+    </div>
+</div>
+          <div id="main-content" class="row">
+            <div class="col-12 col-md-9 pl-md-3 pr-md-0">
+              
+              <div>
+                
+  <div class="tex2jax_ignore mathjax_ignore section" id="plot-elements">
+<h1>Plot Elements<a class="headerlink" href="#plot-elements" title="Permalink to this headline"><i class="fas fa-link"></i></a></h1>
+<div class="section" id="prerequisites">
+<h2>Prerequisites<a class="headerlink" href="#prerequisites" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<table class="colwidths-auto table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Concepts</p></th>
+<th class="head"><p>Importance</p></th>
+<th class="head"><p>Notes</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p><a class="reference external" href="https://foundations.projectpythia.org/core/matplotlib.html">Matplotlib</a></p></td>
+<td><p>Necessary</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference external" href="https://foundations.projectpythia.org/core/cartopy.html">Cartopy</a></p></td>
+<td><p>Necessary</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+<ul class="simple">
+<li><p><strong>Time to learn</strong>: 40 minutes</p></li>
+</ul>
+<hr class="docutils" />
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">xarray</span> <span class="k">as</span> <span class="nn">xr</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="kn">import</span> <span class="nn">geocat.viz</span> <span class="k">as</span> <span class="nn">gv</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="section" id="data">
+<h2>Data<a class="headerlink" href="#data" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>The first piece of data visualization is the data!</p>
+<p>Let’s generate some dummy data to work with:</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">1000</span><span class="p">)</span>
+<span class="n">y1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
+<span class="n">y2</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="section" id="figure">
+<h2>Figure<a class="headerlink" href="#figure" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>The figure is the object that contains your entire visualization. Creating a figure tends to be the first step in plotting, even if it doesn’t currently show anything:</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mf">9.5</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;Figure size 950x800 with 0 Axes&gt;
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="section" id="axis">
+<h2>Axis<a class="headerlink" href="#axis" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>We then add axes to our plot. You can add multiple axes to one plot in order to produce subplots, or just one. Axes will automatically inherit their limits from the data plotted, or can be manually set.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mf">9.5</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">axes</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/7add222fa4e53c0dc416a7ffd4554e6a611f5a7cc9f2e144549bb29786fd0298.png" src="../_images/7add222fa4e53c0dc416a7ffd4554e6a611f5a7cc9f2e144549bb29786fd0298.png" />
+</div>
+</div>
+</div>
+<div class="section" id="plot">
+<h2>Plot<a class="headerlink" href="#plot" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>Adding the data to the figure can be done through several different plot types: line, contour, bar, histogram. Here we use two line plots:</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mf">9.5</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">axes</span><span class="p">()</span>
+
+<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span><span class="n">y1</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span><span class="n">y2</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/7fce943938ad889d6eb5bcf58e612982427bc994321efc6d62df64ff126406c2.png" src="../_images/7fce943938ad889d6eb5bcf58e612982427bc994321efc6d62df64ff126406c2.png" />
+</div>
+</div>
+</div>
+<div class="section" id="titles-and-labels">
+<h2>Titles and Labels<a class="headerlink" href="#titles-and-labels" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>Titles and labels are important for indicating what the figure is plotting. It is a good idea to include relevant units in your axis labels.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mf">9.5</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">axes</span><span class="p">()</span>
+
+<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span><span class="n">y1</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span><span class="n">y2</span><span class="p">)</span>
+
+<span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;Dummy Data&quot;</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s2">&quot;X (radians)&quot;</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/a4e809ae69d3ba9fc9fdb556ffd648695169d1341987183ebdcdcb1b413cef69.png" src="../_images/a4e809ae69d3ba9fc9fdb556ffd648695169d1341987183ebdcdcb1b413cef69.png" />
+</div>
+</div>
+</div>
+<div class="section" id="legends">
+<h2>Legends<a class="headerlink" href="#legends" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>If you’re plotting multiple lines of data, it’s a good idea to include a legend. Here is how you call or point to the legend:</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mf">9.5</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">axes</span><span class="p">()</span>
+
+<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span><span class="n">y1</span><span class="p">,</span><span class="n">label</span><span class="o">=</span><span class="s1">&#39;sine&#39;</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span><span class="n">y2</span><span class="p">,</span><span class="n">label</span><span class="o">=</span><span class="s1">&#39;cosine&#39;</span><span class="p">)</span>
+
+<span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;Dummy Data&quot;</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s2">&quot;X (radians)&quot;</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="s2">&quot;upper left&quot;</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/97aefb8347aaff6ba9fb23ec7e653b70c1a11ea99c933c1b57ebf629612e94a7.png" src="../_images/97aefb8347aaff6ba9fb23ec7e653b70c1a11ea99c933c1b57ebf629612e94a7.png" />
+</div>
+</div>
+</div>
+<div class="section" id="colorbars">
+<h2>Colorbars<a class="headerlink" href="#colorbars" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>While legends are more appropriate for line or bar plots, colorbars are most commonly used for contour plots and sometimes to apply a third level of dimension to a scatter plot.</p>
+<p>Let’s shift our example to better demonstrate a colorbar by workign with a filled contour plot:</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Generate dummy data</span>
+<span class="n">data</span> <span class="o">=</span> <span class="p">[[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mf">8.2</span><span class="p">],</span>
+        <span class="p">[</span><span class="mi">9</span><span class="p">,</span> <span class="mf">8.4</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mf">10.6</span><span class="p">,</span> <span class="mf">9.7</span><span class="p">],</span>
+        <span class="p">[</span><span class="mf">4.4</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mf">6.6</span><span class="p">,</span> <span class="mf">1.4</span><span class="p">],</span>
+        <span class="p">[</span><span class="mf">4.6</span><span class="p">,</span> <span class="mf">5.2</span><span class="p">,</span> <span class="mf">1.5</span><span class="p">,</span> <span class="mf">7.6</span><span class="p">,</span> <span class="mf">2.4</span><span class="p">]]</span>
+
+<span class="c1"># Convert data into type xarray.DataArray</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">DataArray</span><span class="p">(</span><span class="n">data</span><span class="p">,</span>
+                    <span class="n">dims</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;lat&quot;</span><span class="p">,</span> <span class="s2">&quot;lon&quot;</span><span class="p">],</span>
+                    <span class="n">coords</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">lat</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">4</span><span class="p">),</span> <span class="n">lon</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">5</span><span class="p">)))</span>
+
+<span class="n">data</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_html"><div><svg style="position: absolute; width: 0; height: 0; overflow: hidden">
+<defs>
+<symbol id="icon-database" viewBox="0 0 32 32">
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+}
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+}
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+}
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+}
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+}
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+  background: var(--xr-background-color);
+  padding-right: 10px;
+}
+
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+  grid-column: 2;
+  white-space: pre-wrap;
+  word-break: break-all;
+}
+
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+.xr-icon-file-text2,
+.xr-no-icon {
+  display: inline-block;
+  vertical-align: middle;
+  width: 1em;
+  height: 1.5em !important;
+  stroke-width: 0;
+  stroke: currentColor;
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+}
+</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (lat: 4, lon: 5)&gt;
+array([[ 1. ,  4. ,  5. ,  6. ,  8.2],
+       [ 9. ,  8.4, 10. , 10.6,  9.7],
+       [ 4.4,  5. ,  0. ,  6.6,  1.4],
+       [ 4.6,  5.2,  1.5,  7.6,  2.4]])
+Coordinates:
+  * lat      (lat) int64 0 1 2 3
+  * lon      (lon) int64 0 1 2 3 4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 4</li><li><span class='xr-has-index'>lon</span>: 5</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-aad82daf-de5c-45f5-b3f0-7e23ea30134f' class='xr-array-in' type='checkbox' checked><label for='section-aad82daf-de5c-45f5-b3f0-7e23ea30134f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.0 4.0 5.0 6.0 8.2 9.0 8.4 10.0 ... 0.0 6.6 1.4 4.6 5.2 1.5 7.6 2.4</span></div><div class='xr-array-data'><pre>array([[ 1. ,  4. ,  5. ,  6. ,  8.2],
+       [ 9. ,  8.4, 10. , 10.6,  9.7],
+       [ 4.4,  5. ,  0. ,  6.6,  1.4],
+       [ 4.6,  5.2,  1.5,  7.6,  2.4]])</pre></div></div></li><li class='xr-section-item'><input id='section-00a069dd-4aba-41ca-baba-581501f7f62d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-00a069dd-4aba-41ca-baba-581501f7f62d' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-e0e9ae30-6a61-484c-9489-1061648931f3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e0e9ae30-6a61-484c-9489-1061648931f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a7781ed-b415-4988-a590-6d2d169dafdd' class='xr-var-data-in' type='checkbox'><label for='data-4a7781ed-b415-4988-a590-6d2d169dafdd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4</div><input id='attrs-1c2d8a1a-a097-41a8-8a7b-eeea9866c637' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1c2d8a1a-a097-41a8-8a7b-eeea9866c637' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd7c86fd-2b22-4ae2-af88-c4d76ba8afeb' class='xr-var-data-in' type='checkbox'><label for='data-fd7c86fd-2b22-4ae2-af88-c4d76ba8afeb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9275444f-79ea-4f9a-9053-db90a63b976b' class='xr-section-summary-in' type='checkbox'  ><label for='section-9275444f-79ea-4f9a-9053-db90a63b976b' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-122701c4-5867-42b6-b6cb-449f26d01dcd' class='xr-index-data-in' type='checkbox'/><label for='index-122701c4-5867-42b6-b6cb-449f26d01dcd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-49789a47-c55d-4235-bc17-b5fa8d260642' class='xr-index-data-in' type='checkbox'/><label for='index-49789a47-c55d-4235-bc17-b5fa8d260642' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4], dtype=&#x27;int64&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d019b5b5-2001-412b-ab5f-53db2ab279df' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d019b5b5-2001-412b-ab5f-53db2ab279df' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mf">9.5</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">axes</span><span class="p">()</span>
+
+<span class="n">pcm</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">contourf</span><span class="p">(</span><span class="n">data</span><span class="p">,</span><span class="n">cmap</span><span class="o">=</span><span class="s1">&#39;viridis&#39;</span><span class="p">)</span>
+
+<span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;Dummy Data&quot;</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s2">&quot;Longitude (</span><span class="se">\N{DEGREE SIGN}</span><span class="s2">)&quot;</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s2">&quot;Latitude (</span><span class="se">\N{DEGREE SIGN}</span><span class="s2">)&quot;</span><span class="p">)</span>
+
+<span class="n">fig</span><span class="o">.</span><span class="n">colorbar</span><span class="p">(</span><span class="n">pcm</span><span class="p">,</span><span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/aedd959608cb64830588d6cb8042a887564bdcd7d05d1e3bb5948a8e7898101f.png" src="../_images/aedd959608cb64830588d6cb8042a887564bdcd7d05d1e3bb5948a8e7898101f.png" />
+</div>
+</div>
+</div>
+<div class="section" id="annotations">
+<h2>Annotations<a class="headerlink" href="#annotations" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>Additional annotations allow you to specify some text and a location to indicate almost anything.</p>
+<p>Here we use GeoCAT-viz to add annotations to the maxima in a contour plot:</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mf">9.5</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">axes</span><span class="p">()</span>
+
+<span class="n">pcm</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">contourf</span><span class="p">(</span><span class="n">data</span><span class="p">,</span><span class="n">cmap</span><span class="o">=</span><span class="s1">&#39;viridis&#39;</span><span class="p">)</span>
+
+<span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;Dummy Data&quot;</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s2">&quot;Longitude (</span><span class="se">\N{DEGREE SIGN}</span><span class="s2">)&quot;</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s2">&quot;Latitude (</span><span class="se">\N{DEGREE SIGN}</span><span class="s2">)&quot;</span><span class="p">)</span>
+
+<span class="n">fig</span><span class="o">.</span><span class="n">colorbar</span><span class="p">(</span><span class="n">pcm</span><span class="p">,</span><span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">)</span>
+
+<span class="c1"># Find local maximum with GeoCAT-Viz find_local_extrema</span>
+<span class="n">lmax</span> <span class="o">=</span> <span class="n">gv</span><span class="o">.</span><span class="n">find_local_extrema</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">eType</span><span class="o">=</span><span class="s1">&#39;High&#39;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+
+<span class="c1"># Plot labels for local mins</span>
+<span class="n">max_value</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">lmax</span><span class="p">[</span><span class="mi">1</span><span class="p">]][</span><span class="n">lmax</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="n">lmax</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">lmax</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span><span class="s1">&#39;Maxima = &#39;</span><span class="o">+</span><span class="nb">str</span><span class="p">(</span><span class="n">max_value</span><span class="p">))</span>
+
+<span class="c1"># Show plot</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">();</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/b60221f0ae39d3d1748f091e830022e55ead9f9a7f4afbf9f73f7884ec1e45c3.png" src="../_images/b60221f0ae39d3d1748f091e830022e55ead9f9a7f4afbf9f73f7884ec1e45c3.png" />
+</div>
+</div>
+</div>
+<hr class="docutils" />
+<div class="section" id="summary">
+<h2>Summary<a class="headerlink" href="#summary" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>There are several key elements to a Python plot and knowing what they are called is instrumental to begin your journey for further customization.</p>
+<div class="section" id="whats-next">
+<h3>What’s next?<a class="headerlink" href="#whats-next" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Next up, the specialty plots called <a class="reference internal" href="4-taylor-diagrams.html"><span class="doc std std-doc">Taylor Diagrams</span></a>.</p>
+</div>
+</div>
+<div class="section" id="resources-and-references">
+<h2>Resources and references<a class="headerlink" href="#resources-and-references" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+</div>
+</div>
+
+    <script type="text/x-thebe-config">
+    {
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+                <ul class="visible nav section-nav flex-column">
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#overview">
+   Overview
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#prerequisites">
+   Prerequisites
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#creating-a-simple-taylor-diagram">
+   Creating a Simple Taylor Diagram
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#necessary-statistical-analysis">
+   Necessary Statistical Analysis
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+    <a class="reference internal nav-link" href="#preparing-the-reference-observed-dataset">
+     Preparing the Reference (Observed) Dataset
+    </a>
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+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#preparing-the-model-datasets">
+     Preparing the model datasets
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#perform-the-statistical-calculations">
+     Perform the statistical calculations
+    </a>
+   </li>
+  </ul>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#plotting-different-ensemble-members">
+   Plotting Different Ensemble Members
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#plotting-multiple-models">
+   Plotting Multiple Models
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#plotting-multiple-variables">
+   Plotting Multiple Variables
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#plotting-bias">
+   Plotting Bias
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#variants">
+   Variants
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#summary">
+   Summary
+  </a>
+  <ul class="nav section-nav flex-column">
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#whats-next">
+     What’s next?
+    </a>
+   </li>
+  </ul>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#resources-and-references">
+   Resources and references
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+              
+              <div>
+                
+  <div class="tex2jax_ignore mathjax_ignore section" id="taylor-diagrams">
+<h1>Taylor Diagrams<a class="headerlink" href="#taylor-diagrams" title="Permalink to this headline"><i class="fas fa-link"></i></a></h1>
+<div class="section" id="overview">
+<h2>Overview<a class="headerlink" href="#overview" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>Taylor diagrams are a visual way of representing a statistical summary of how at least two datasets compare, where all plotted datasets are statistically compared to the same reference dataset (typically climate observations). Taylor diagrams are radial plots, with distance from the origin determined by a normalized standard deviation of your dataset (normalized by dividing it by the standard deviation of the reference or observational dataset) and the angle determined by the correlation coefficient between your dataset and the reference.</p>
+<p>Taylor diagrams are popular for displaying climatological data because the normalization of variances helps account for the widely varying numerical values of geoscientific variables such as temperature or precipitation.</p>
+<p>This notebook explores how to create and customize Taylor diagrams using <code class="docutils literal notranslate"><span class="pre">geocat-viz</span></code>. See the more information on <a class="reference external" href="https://geocat-viz.readthedocs.io/en/latest/user_api/generated/geocat.viz.taylor.TaylorDiagram.html"><code class="docutils literal notranslate"><span class="pre">geocat-viz.TaylorDiagram</span></code></a>.</p>
+<ol class="arabic simple">
+<li><p>Creating a Simple Taylor Diagram</p></li>
+<li><p>Necessary Statistical Analysis</p></li>
+<li><p>Plotting Different Ensemble Members</p></li>
+<li><p>Plotting Multiple Models</p></li>
+<li><p>Plotting Multiple Variables</p></li>
+<li><p>Plotting Bias</p></li>
+<li><p>Variants</p></li>
+</ol>
+</div>
+<div class="section" id="prerequisites">
+<h2>Prerequisites<a class="headerlink" href="#prerequisites" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<table class="colwidths-auto table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Concepts</p></th>
+<th class="head"><p>Importance</p></th>
+<th class="head"><p>Notes</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p><a class="reference external" href="https://foundations.projectpythia.org/core/matplotlib.html">Matplotlib</a></p></td>
+<td><p>Necessary</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+<ul class="simple">
+<li><p><strong>Time to learn</strong>: 10 minutes</p></li>
+</ul>
+<hr class="docutils" />
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">xarray</span> <span class="k">as</span> <span class="nn">xr</span>
+
+<span class="kn">import</span> <span class="nn">cftime</span>
+
+<span class="kn">import</span> <span class="nn">geocat.viz</span> <span class="k">as</span> <span class="nn">gv</span>
+<span class="kn">import</span> <span class="nn">geocat.datafiles</span> <span class="k">as</span> <span class="nn">gdf</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Downloading file &#39;registry.txt&#39; from &#39;https://github.com/NCAR/GeoCAT-datafiles/raw/main/registry.txt&#39; to &#39;/home/runner/.cache/geocat&#39;.
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="section" id="creating-a-simple-taylor-diagram">
+<h2>Creating a Simple Taylor Diagram<a class="headerlink" href="#creating-a-simple-taylor-diagram" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>Before getting into the data computation necessary to create a Taylor diagram, let’s demonstrate how to make the simplest Taylor Diagram plot. Here we are using sample data with a normalized standard deviation of 0.6 and a correlation coefficient of 0.24.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Create figure and Taylor Diagram instance</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">12</span><span class="p">))</span>
+<span class="n">taylor</span> <span class="o">=</span> <span class="n">gv</span><span class="o">.</span><span class="n">TaylorDiagram</span><span class="p">(</span><span class="n">fig</span><span class="o">=</span><span class="n">fig</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;REF&#39;</span><span class="p">)</span>
+
+<span class="c1"># Draw diagonal dashed lines from origin to correlation values</span>
+<span class="c1"># Also enforces proper X-Y ratio</span>
+<span class="n">taylor</span><span class="o">.</span><span class="n">add_xgrid</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.6</span><span class="p">,</span> <span class="mf">0.9</span><span class="p">]))</span>
+
+<span class="c1"># Add a model dataset of one point</span>
+<span class="n">taylor</span><span class="o">.</span><span class="n">add_model_set</span><span class="p">(</span><span class="n">stddev</span><span class="o">=</span><span class="p">[</span><span class="mf">.6</span><span class="p">],</span> <span class="n">corrcoef</span><span class="o">=</span><span class="p">[</span><span class="mf">.24</span><span class="p">]);</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Simple Taylor Diagram&quot;</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="mi">26</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mi">45</span><span class="p">);</span> <span class="c1"># Need to move title up</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/fdc2520bd604968812b2bcc5a529d9bdd589f82a1f74a795819e2078d2055619.png" src="../_images/fdc2520bd604968812b2bcc5a529d9bdd589f82a1f74a795819e2078d2055619.png" />
+</div>
+</div>
+</div>
+<div class="section" id="necessary-statistical-analysis">
+<h2>Necessary Statistical Analysis<a class="headerlink" href="#necessary-statistical-analysis" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>To make understanding a Taylor Diagram more meaningful or intuitive, let’s use some real data. Here we are going to use ERA5 reanalysis data as our observational dataset. CMIP5 temperature and pressure data from various representative concentration pathways (RCPs) and ensemble members as our model data.</p>
+<p>Because these dataset can be so large, some data pre-processing has been done already to the datasets used in this example.</p>
+<ul class="simple">
+<li><p>ERA5 and CMIP5 data have been spatially averaged (removing latitudinal and longitudinal dimensions)</p></li>
+<li><p>ERA5 and CMIP5 data have been indexed to only include the year 2022</p></li>
+<li><p>All ensembles from a given CMIP5 RCP model have been combined into one dataset.</p></li>
+<li><p>Temperature and pressure variables from ERA5 have been combined into one dataset.</p></li>
+</ul>
+<div class="section" id="preparing-the-reference-observed-dataset">
+<h3>Preparing the Reference (Observed) Dataset<a class="headerlink" href="#preparing-the-reference-observed-dataset" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Let’s use geocat.datafiles to open up our ERA5 reanalysis data.</p>
+<p>This dataset has two variables:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">2T_GDSO_SFC</span></code> which refers to the air temperature 2 meters above the surface, and</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">SP_GDSO_SFC</span></code> which is surface pressure.</p></li>
+</ul>
+<p>For this dataset, we still need to resample our data to monthly to match the monthly CMIP5 data.</p>
+<p>Notice that our time coordinate is in <code class="docutils literal notranslate"><span class="pre">datetime64</span></code>, we will have to manipulate either ERA5 or CMIP5 data to use the same time formatting system.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">era5</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">open_dataset</span><span class="p">(</span><span class="n">gdf</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;netcdf_files/era5_2022_2mtemp_spres_xyav.nc&#39;</span><span class="p">))</span>
+<span class="n">era5</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Downloading file &#39;netcdf_files/era5_2022_2mtemp_spres_xyav.nc&#39; from &#39;https://github.com/NCAR/GeoCAT-datafiles/raw/main/netcdf_files/era5_2022_2mtemp_spres_xyav.nc&#39; to &#39;/home/runner/.cache/geocat&#39;.
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+</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;
+Dimensions:              (initial_time0_hours: 8040)
+Coordinates:
+  * initial_time0_hours  (initial_time0_hours) datetime64[ns] 2022-01-01 ... ...
+Data variables:
+    2T_GDS0_SFC          (initial_time0_hours) float32 ...
+    SP_GDS0_SFC          (initial_time0_hours) float32 ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4df1d266-ce5f-4bf7-a467-cb071d86f60a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4df1d266-ce5f-4bf7-a467-cb071d86f60a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>initial_time0_hours</span>: 8040</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0cd7409e-a5db-4f14-b0c5-a9547cd4ccb1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0cd7409e-a5db-4f14-b0c5-a9547cd4ccb1' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>initial_time0_hours</span></div><div class='xr-var-dims'>(initial_time0_hours)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-01 ... 2022-12-31T23:00:00</div><input id='attrs-83076b95-2bf5-460f-a25c-1fcb44f619c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83076b95-2bf5-460f-a25c-1fcb44f619c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8814d21a-9556-4d47-ba7a-f13d3b42703b' class='xr-var-data-in' type='checkbox'><label for='data-8814d21a-9556-4d47-ba7a-f13d3b42703b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-01T00:00:00.000000000&#x27;, &#x27;2022-01-01T01:00:00.000000000&#x27;,
+       &#x27;2022-01-01T02:00:00.000000000&#x27;, ..., &#x27;2022-12-31T21:00:00.000000000&#x27;,
+       &#x27;2022-12-31T22:00:00.000000000&#x27;, &#x27;2022-12-31T23:00:00.000000000&#x27;],
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2cfa6ac7-5b95-48cf-9c35-90b5b86fc352' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2cfa6ac7-5b95-48cf-9c35-90b5b86fc352' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>2T_GDS0_SFC</span></div><div class='xr-var-dims'>(initial_time0_hours)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6d52b0b5-a555-4285-aacd-a4a594698873' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d52b0b5-a555-4285-aacd-a4a594698873' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd54d446-4eaa-4c54-a934-48ee20f96314' class='xr-var-data-in' type='checkbox'><label for='data-dd54d446-4eaa-4c54-a934-48ee20f96314' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2 meter Temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>[8040 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SP_GDS0_SFC</span></div><div class='xr-var-dims'>(initial_time0_hours)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-24473926-b942-4605-895a-aded63eacbf8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24473926-b942-4605-895a-aded63eacbf8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-552f4cb7-7b77-43a9-bdec-55456053484e' class='xr-var-data-in' type='checkbox'><label for='data-552f4cb7-7b77-43a9-bdec-55456053484e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface Pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>[8040 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-13b79ff5-48ba-49d5-99c6-ad673caadef1' class='xr-section-summary-in' type='checkbox'  ><label for='section-13b79ff5-48ba-49d5-99c6-ad673caadef1' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>initial_time0_hours</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9824dae5-c9d9-4d1e-81f4-d7e0b5ee6b59' class='xr-index-data-in' type='checkbox'/><label for='index-9824dae5-c9d9-4d1e-81f4-d7e0b5ee6b59' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-01-01 00:00:00&#x27;, &#x27;2022-01-01 01:00:00&#x27;,
+               &#x27;2022-01-01 02:00:00&#x27;, &#x27;2022-01-01 03:00:00&#x27;,
+               &#x27;2022-01-01 04:00:00&#x27;, &#x27;2022-01-01 05:00:00&#x27;,
+               &#x27;2022-01-01 06:00:00&#x27;, &#x27;2022-01-01 07:00:00&#x27;,
+               &#x27;2022-01-01 08:00:00&#x27;, &#x27;2022-01-01 09:00:00&#x27;,
+               ...
+               &#x27;2022-12-31 14:00:00&#x27;, &#x27;2022-12-31 15:00:00&#x27;,
+               &#x27;2022-12-31 16:00:00&#x27;, &#x27;2022-12-31 17:00:00&#x27;,
+               &#x27;2022-12-31 18:00:00&#x27;, &#x27;2022-12-31 19:00:00&#x27;,
+               &#x27;2022-12-31 20:00:00&#x27;, &#x27;2022-12-31 21:00:00&#x27;,
+               &#x27;2022-12-31 22:00:00&#x27;, &#x27;2022-12-31 23:00:00&#x27;],
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;initial_time0_hours&#x27;, length=8040, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-72a8e4c3-4956-4d4e-9756-4a66339cb6d4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-72a8e4c3-4956-4d4e-9756-4a66339cb6d4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Change hourly data to monthly</span>
+<span class="n">era5</span> <span class="o">=</span> <span class="n">era5</span><span class="o">.</span><span class="n">rename</span><span class="p">({</span><span class="s1">&#39;initial_time0_hours&#39;</span><span class="p">:</span> <span class="s1">&#39;time&#39;</span><span class="p">})</span> <span class="c1"># Changing dimension name for convenience</span>
+<span class="n">era5_resampled</span> <span class="o">=</span> <span class="n">era5</span><span class="o">.</span><span class="n">resample</span><span class="p">(</span><span class="n">time</span><span class="o">=</span><span class="s1">&#39;MS&#39;</span><span class="p">,</span> <span class="n">loffset</span><span class="o">=</span><span class="s1">&#39;15D&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span> <span class="c1"># loffsest to set resampling to the center of each month as in CMIP5 data</span>
+
+<span class="n">era5_resampled</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_3417/2474163128.py:3: FutureWarning: Following pandas, the `loffset` parameter to resample will be deprecated in a future version of xarray.  Switch to using time offset arithmetic.
+  era5_resampled = era5.resample(time=&#39;MS&#39;, loffset=&#39;15D&#39;).mean() # loffsest to set resampling to the center of each month as in CMIP5 data
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+</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;
+Dimensions:      (time: 12)
+Coordinates:
+  * time         (time) datetime64[ns] 2022-01-16 2022-02-16 ... 2022-12-16
+Data variables:
+    2T_GDS0_SFC  (time) float32 277.2 277.0 277.1 nan ... 279.2 277.7 277.7
+    SP_GDS0_SFC  (time) float32 9.666e+04 9.664e+04 ... 9.655e+04 9.67e+04</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3f513eec-460b-4b2f-a105-3bbc690967ac' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3f513eec-460b-4b2f-a105-3bbc690967ac' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 12</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2f6ec66f-87d8-4105-84ba-0854368f9e6d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2f6ec66f-87d8-4105-84ba-0854368f9e6d' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-16 ... 2022-12-16</div><input id='attrs-56921bb7-889f-4a5d-b768-d56cc6abb17e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56921bb7-889f-4a5d-b768-d56cc6abb17e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08198a17-5e34-4c8e-8edd-82da98a552e2' class='xr-var-data-in' type='checkbox'><label for='data-08198a17-5e34-4c8e-8edd-82da98a552e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-16T00:00:00.000000000&#x27;, &#x27;2022-02-16T00:00:00.000000000&#x27;,
+       &#x27;2022-03-16T00:00:00.000000000&#x27;, &#x27;2022-04-16T00:00:00.000000000&#x27;,
+       &#x27;2022-05-16T00:00:00.000000000&#x27;, &#x27;2022-06-16T00:00:00.000000000&#x27;,
+       &#x27;2022-07-16T00:00:00.000000000&#x27;, &#x27;2022-08-16T00:00:00.000000000&#x27;,
+       &#x27;2022-09-16T00:00:00.000000000&#x27;, &#x27;2022-10-16T00:00:00.000000000&#x27;,
+       &#x27;2022-11-16T00:00:00.000000000&#x27;, &#x27;2022-12-16T00:00:00.000000000&#x27;],
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bb3d56c9-f06c-4d03-87ac-ad18a2d272d4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bb3d56c9-f06c-4d03-87ac-ad18a2d272d4' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>2T_GDS0_SFC</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>277.2 277.0 277.1 ... 277.7 277.7</div><input id='attrs-f4519907-971d-4d39-a234-c02f28e6c14a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4519907-971d-4d39-a234-c02f28e6c14a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44cb7460-5f39-4e2d-8ef4-6b01dd1cd6b4' class='xr-var-data-in' type='checkbox'><label for='data-44cb7460-5f39-4e2d-8ef4-6b01dd1cd6b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2 meter Temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>array([277.24756, 277.00116, 277.1267 ,       nan, 279.67548, 281.2928 ,
+       281.5387 , 281.20755, 280.13947, 279.15546, 277.7269 , 277.6502 ],
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SP_GDS0_SFC</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>9.666e+04 9.664e+04 ... 9.67e+04</div><input id='attrs-1354ce37-a387-4c01-bf92-ba8842647a29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1354ce37-a387-4c01-bf92-ba8842647a29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad5e2ef9-9995-42ba-8f9f-77531049de85' class='xr-var-data-in' type='checkbox'><label for='data-ad5e2ef9-9995-42ba-8f9f-77531049de85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface Pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array([96656.375, 96643.06 , 96663.45 ,       nan, 96644.41 , 96716.69 ,
+       96585.77 , 96591.51 , 96566.99 , 96530.29 , 96549.9  , 96696.65 ],
+      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ff50708f-8cf5-4d8f-907b-8977fad999e8' class='xr-section-summary-in' type='checkbox'  ><label for='section-ff50708f-8cf5-4d8f-907b-8977fad999e8' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ce10a9cd-6dc7-48ca-beda-dca10d86fb29' class='xr-index-data-in' type='checkbox'/><label for='index-ce10a9cd-6dc7-48ca-beda-dca10d86fb29' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-01-16&#x27;, &#x27;2022-02-16&#x27;, &#x27;2022-03-16&#x27;, &#x27;2022-04-16&#x27;,
+               &#x27;2022-05-16&#x27;, &#x27;2022-06-16&#x27;, &#x27;2022-07-16&#x27;, &#x27;2022-08-16&#x27;,
+               &#x27;2022-09-16&#x27;, &#x27;2022-10-16&#x27;, &#x27;2022-11-16&#x27;, &#x27;2022-12-16&#x27;],
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e9af832d-f079-41b8-a545-ce4167b09af9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e9af832d-f079-41b8-a545-ce4167b09af9' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">era5_temp</span> <span class="o">=</span> <span class="n">era5_resampled</span><span class="p">[</span><span class="s1">&#39;2T_GDS0_SFC&#39;</span><span class="p">]</span> <span class="c1"># Because this variable name starts with a number `era5_resampled.2T_GDS0_SFC` would give an error s</span>
+
+<span class="c1"># Take a look at our final temperature data</span>
+<span class="n">era5_temp</span>
+</pre></div>
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+</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;2T_GDS0_SFC&#x27; (time: 12)&gt;
+array([277.24756, 277.00116, 277.1267 ,       nan, 279.67548, 281.2928 ,
+       281.5387 , 281.20755, 280.13947, 279.15546, 277.7269 , 277.6502 ],
+      dtype=float32)
+Coordinates:
+  * time     (time) datetime64[ns] 2022-01-16 2022-02-16 ... 2022-12-16
+Attributes:
+    long_name:  2 meter Temperature
+    units:      K</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'2T_GDS0_SFC'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 12</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4f2fe678-a3db-4995-8389-1ddcf3d40b59' class='xr-array-in' type='checkbox' checked><label for='section-4f2fe678-a3db-4995-8389-1ddcf3d40b59' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>277.2 277.0 277.1 nan 279.7 281.3 281.5 281.2 280.1 279.2 277.7 277.7</span></div><div class='xr-array-data'><pre>array([277.24756, 277.00116, 277.1267 ,       nan, 279.67548, 281.2928 ,
+       281.5387 , 281.20755, 280.13947, 279.15546, 277.7269 , 277.6502 ],
+      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-6c5b3991-0bd0-4f8f-a5e2-0bf60637d663' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6c5b3991-0bd0-4f8f-a5e2-0bf60637d663' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-16 ... 2022-12-16</div><input id='attrs-4dc076eb-bfae-407f-869c-ccd8e7ec57b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4dc076eb-bfae-407f-869c-ccd8e7ec57b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6064d6ff-5ff8-4e84-b080-539ca2f815a0' class='xr-var-data-in' type='checkbox'><label for='data-6064d6ff-5ff8-4e84-b080-539ca2f815a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-16T00:00:00.000000000&#x27;, &#x27;2022-02-16T00:00:00.000000000&#x27;,
+       &#x27;2022-03-16T00:00:00.000000000&#x27;, &#x27;2022-04-16T00:00:00.000000000&#x27;,
+       &#x27;2022-05-16T00:00:00.000000000&#x27;, &#x27;2022-06-16T00:00:00.000000000&#x27;,
+       &#x27;2022-07-16T00:00:00.000000000&#x27;, &#x27;2022-08-16T00:00:00.000000000&#x27;,
+       &#x27;2022-09-16T00:00:00.000000000&#x27;, &#x27;2022-10-16T00:00:00.000000000&#x27;,
+       &#x27;2022-11-16T00:00:00.000000000&#x27;, &#x27;2022-12-16T00:00:00.000000000&#x27;],
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f29aa7b6-87cf-410b-851b-03e6a1304688' class='xr-section-summary-in' type='checkbox'  ><label for='section-f29aa7b6-87cf-410b-851b-03e6a1304688' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4136d457-9339-4bae-a998-613760ac50c8' class='xr-index-data-in' type='checkbox'/><label for='index-4136d457-9339-4bae-a998-613760ac50c8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-01-16&#x27;, &#x27;2022-02-16&#x27;, &#x27;2022-03-16&#x27;, &#x27;2022-04-16&#x27;,
+               &#x27;2022-05-16&#x27;, &#x27;2022-06-16&#x27;, &#x27;2022-07-16&#x27;, &#x27;2022-08-16&#x27;,
+               &#x27;2022-09-16&#x27;, &#x27;2022-10-16&#x27;, &#x27;2022-11-16&#x27;, &#x27;2022-12-16&#x27;],
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d6e13c43-773f-403a-87d8-72b9c7c78a66' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d6e13c43-773f-403a-87d8-72b9c7c78a66' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2 meter Temperature</dd><dt><span>units :</span></dt><dd>K</dd></dl></div></li></ul></div></div></div></div>
+</div>
+</div>
+<div class="section" id="preparing-the-model-datasets">
+<h3>Preparing the model datasets<a class="headerlink" href="#preparing-the-model-datasets" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Here our CMIP5 data is originally sourced from the <a class="reference external" href="https://esgf.llnl.gov/">Earth System Grid Federation</a>. Let’s first look at our RCP8.5 model, typically referred to as “business as usual” because it is expected to be the mostly likely outcome without improving greenhouse gas mitigation efforts.</p>
+<p>To compare this data with the ERA5 data we need to convert our data to <code class="docutils literal notranslate"><span class="pre">datetime64</span></code>.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">tas_rcp85</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">open_dataset</span><span class="p">(</span><span class="n">gdf</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;netcdf_files/tas_Amon_CanESM2_rcp85_2022_xyav.nc&#39;</span><span class="p">))</span>
+
+<span class="n">tas_rcp85</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Downloading file &#39;netcdf_files/tas_Amon_CanESM2_rcp85_2022_xyav.nc&#39; from &#39;https://github.com/NCAR/GeoCAT-datafiles/raw/main/netcdf_files/tas_Amon_CanESM2_rcp85_2022_xyav.nc&#39; to &#39;/home/runner/.cache/geocat&#39;.
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+</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;
+Dimensions:  (time: 12)
+Coordinates:
+  * time     (time) object 2022-01-16 12:00:00 ... 2022-12-16 12:00:00
+    height   float64 ...
+Data variables:
+    r1i1p1   (time) float32 ...
+    r2i1p1   (time) float32 ...
+    r3i1p1   (time) float32 ...
+    r4i1p1   (time) float32 ...
+    r5i1p1   (time) float32 ...
+Attributes:
+    standard_name:     air_temperature
+    long_name:         Near-Surface Air Temperature
+    units:             K
+    original_name:     ST
+    cell_methods:      time: mean (interval: 15 minutes)
+    cell_measures:     area: areacella
+    history:           2011-03-10T05:13:26Z altered by CMOR: Treated scalar d...
+    associated_files:  baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation...
+    rcp:               rcp85</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-380efb11-7a3b-4357-b33c-e91f3d75c8ef' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-380efb11-7a3b-4357-b33c-e91f3d75c8ef' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 12</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7c326ea4-59ec-44e0-8554-1bb47cb65808' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7c326ea4-59ec-44e0-8554-1bb47cb65808' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2022-01-16 12:00:00 ... 2022-12-...</div><input id='attrs-79fce626-02e1-455b-a06d-d41a626e1422' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79fce626-02e1-455b-a06d-d41a626e1422' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-352e06a8-ef81-48e0-b1f4-4428545d193c' class='xr-var-data-in' type='checkbox'><label for='data-352e06a8-ef81-48e0-b1f4-4428545d193c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2022, 1, 16, 12, 0, 0, 0, has_year_zero=True),
+       cftime.DatetimeNoLeap(2022, 2, 15, 0, 0, 0, 0, has_year_zero=True),
+       cftime.DatetimeNoLeap(2022, 3, 16, 12, 0, 0, 0, has_year_zero=True),
+       cftime.DatetimeNoLeap(2022, 4, 16, 0, 0, 0, 0, has_year_zero=True),
+       cftime.DatetimeNoLeap(2022, 5, 16, 12, 0, 0, 0, has_year_zero=True),
+       cftime.DatetimeNoLeap(2022, 6, 16, 0, 0, 0, 0, has_year_zero=True),
+       cftime.DatetimeNoLeap(2022, 7, 16, 12, 0, 0, 0, has_year_zero=True),
+       cftime.DatetimeNoLeap(2022, 8, 16, 12, 0, 0, 0, has_year_zero=True),
+       cftime.DatetimeNoLeap(2022, 9, 16, 0, 0, 0, 0, has_year_zero=True),
+       cftime.DatetimeNoLeap(2022, 10, 16, 12, 0, 0, 0, has_year_zero=True),
+       cftime.DatetimeNoLeap(2022, 11, 16, 0, 0, 0, 0, has_year_zero=True),
+       cftime.DatetimeNoLeap(2022, 12, 16, 12, 0, 0, 0, has_year_zero=True)],
+      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9814be98-bf3e-423f-a05b-c0eeff3187e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9814be98-bf3e-423f-a05b-c0eeff3187e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97f61af3-2d05-46a0-b005-6926d0e9db30' class='xr-var-data-in' type='checkbox'><label for='data-97f61af3-2d05-46a0-b005-6926d0e9db30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-77ea7ddd-9684-4dcf-89d5-0593c0448ed5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-77ea7ddd-9684-4dcf-89d5-0593c0448ed5' class='xr-section-summary' >Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>r1i1p1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-75932079-7195-4f08-a7f5-f513f55407f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75932079-7195-4f08-a7f5-f513f55407f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39d777f1-ce0e-48b5-8543-2dda60fcc160' class='xr-var-data-in' type='checkbox'><label for='data-39d777f1-ce0e-48b5-8543-2dda60fcc160' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-03-10T05:13:26Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-03-10T05:13:26Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_rcp85_r0i0p0.nc areacella: areacella_fx_CanESM2_rcp85_r0i0p0.nc</dd><dt><span>rcp :</span></dt><dd>rcp85</dd></dl></div><div class='xr-var-data'><pre>[12 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>r2i1p1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7890c9b2-0bd8-4489-bf32-cbe2703c9b18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7890c9b2-0bd8-4489-bf32-cbe2703c9b18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37ecc8d4-1fdd-4c4f-8eba-efee58f87824' class='xr-var-data-in' type='checkbox'><label for='data-37ecc8d4-1fdd-4c4f-8eba-efee58f87824' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-03-16T00:52:25Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-03-16T00:52:25Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_rcp85_r0i0p0.nc areacella: areacella_fx_CanESM2_rcp85_r0i0p0.nc</dd><dt><span>rcp :</span></dt><dd>rcp85</dd></dl></div><div class='xr-var-data'><pre>[12 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>r3i1p1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-99499d5d-b023-4868-8e39-ccb341d6ad37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99499d5d-b023-4868-8e39-ccb341d6ad37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ec9b78c-68e8-4f2a-874c-5867153c3088' class='xr-var-data-in' type='checkbox'><label for='data-7ec9b78c-68e8-4f2a-874c-5867153c3088' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-03-16T06:39:54Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-03-16T06:39:54Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_rcp85_r0i0p0.nc areacella: areacella_fx_CanESM2_rcp85_r0i0p0.nc</dd><dt><span>rcp :</span></dt><dd>rcp85</dd></dl></div><div class='xr-var-data'><pre>[12 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>r4i1p1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9afbd3c9-dea2-4849-b0e2-f9bd7453fa5d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9afbd3c9-dea2-4849-b0e2-f9bd7453fa5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f7c8699-653e-4afc-b96d-702a48f53f2d' class='xr-var-data-in' type='checkbox'><label for='data-6f7c8699-653e-4afc-b96d-702a48f53f2d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-03-16T02:31:46Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-03-16T02:31:46Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_rcp85_r0i0p0.nc areacella: areacella_fx_CanESM2_rcp85_r0i0p0.nc</dd><dt><span>rcp :</span></dt><dd>rcp85</dd></dl></div><div class='xr-var-data'><pre>[12 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>r5i1p1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-286bf78a-5f77-4f60-995c-6649128984b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-286bf78a-5f77-4f60-995c-6649128984b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b23cfdd1-5282-4cb1-8600-d59538582798' class='xr-var-data-in' type='checkbox'><label for='data-b23cfdd1-5282-4cb1-8600-d59538582798' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-03-15T18:57:44Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-03-15T18:57:44Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_rcp85_r0i0p0.nc areacella: areacella_fx_CanESM2_rcp85_r0i0p0.nc</dd><dt><span>rcp :</span></dt><dd>rcp85</dd></dl></div><div class='xr-var-data'><pre>[12 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9cbec96b-b98b-4666-bb93-4595fcb1936c' class='xr-section-summary-in' type='checkbox'  ><label for='section-9cbec96b-b98b-4666-bb93-4595fcb1936c' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-abf6200f-2f88-4194-93f9-041000e4445b' class='xr-index-data-in' type='checkbox'/><label for='index-abf6200f-2f88-4194-93f9-041000e4445b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([2022-01-16 12:00:00, 2022-02-15 00:00:00, 2022-03-16 12:00:00,
+             2022-04-16 00:00:00, 2022-05-16 12:00:00, 2022-06-16 00:00:00,
+             2022-07-16 12:00:00, 2022-08-16 12:00:00, 2022-09-16 00:00:00,
+             2022-10-16 12:00:00, 2022-11-16 00:00:00, 2022-12-16 12:00:00],
+            dtype=&#x27;object&#x27;, length=12, calendar=&#x27;noleap&#x27;, freq=&#x27;None&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-457a4767-8245-43a5-b0a2-3fc6b9003c9f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-457a4767-8245-43a5-b0a2-3fc6b9003c9f' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-03-10T05:13:26Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-03-10T05:13:26Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_rcp85_r0i0p0.nc areacella: areacella_fx_CanESM2_rcp85_r0i0p0.nc</dd><dt><span>rcp :</span></dt><dd>rcp85</dd></dl></div></li></ul></div></div></div></div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">tas_rcp85</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">tas_rcp85</span><span class="o">.</span><span class="n">indexes</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">to_datetimeindex</span><span class="p">()</span>
+<span class="n">tas_rcp85</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_3417/3930724370.py:1: RuntimeWarning: Converting a CFTimeIndex with dates from a non-standard calendar, &#39;noleap&#39;, to a pandas.DatetimeIndex, which uses dates from the standard calendar.  This may lead to subtle errors in operations that depend on the length of time between dates.
+  tas_rcp85[&#39;time&#39;] = tas_rcp85.indexes[&#39;time&#39;].to_datetimeindex()
+</pre></div>
+</div>
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+.xr-section-details {
+  display: none;
+  grid-column: 1 / -1;
+  margin-bottom: 5px;
+}
+
+.xr-section-summary-in:checked ~ .xr-section-details {
+  display: contents;
+}
+
+.xr-array-wrap {
+  grid-column: 1 / -1;
+  display: grid;
+  grid-template-columns: 20px auto;
+}
+
+.xr-array-wrap > label {
+  grid-column: 1;
+  vertical-align: top;
+}
+
+.xr-preview {
+  color: var(--xr-font-color3);
+}
+
+.xr-array-preview,
+.xr-array-data {
+  padding: 0 5px !important;
+  grid-column: 2;
+}
+
+.xr-array-data,
+.xr-array-in:checked ~ .xr-array-preview {
+  display: none;
+}
+
+.xr-array-in:checked ~ .xr-array-data,
+.xr-array-preview {
+  display: inline-block;
+}
+
+.xr-dim-list {
+  display: inline-block !important;
+  list-style: none;
+  padding: 0 !important;
+  margin: 0;
+}
+
+.xr-dim-list li {
+  display: inline-block;
+  padding: 0;
+  margin: 0;
+}
+
+.xr-dim-list:before {
+  content: '(';
+}
+
+.xr-dim-list:after {
+  content: ')';
+}
+
+.xr-dim-list li:not(:last-child):after {
+  content: ',';
+  padding-right: 5px;
+}
+
+.xr-has-index {
+  font-weight: bold;
+}
+
+.xr-var-list,
+.xr-var-item {
+  display: contents;
+}
+
+.xr-var-item > div,
+.xr-var-item label,
+.xr-var-item > .xr-var-name span {
+  background-color: var(--xr-background-color-row-even);
+  margin-bottom: 0;
+}
+
+.xr-var-item > .xr-var-name:hover span {
+  padding-right: 5px;
+}
+
+.xr-var-list > li:nth-child(odd) > div,
+.xr-var-list > li:nth-child(odd) > label,
+.xr-var-list > li:nth-child(odd) > .xr-var-name span {
+  background-color: var(--xr-background-color-row-odd);
+}
+
+.xr-var-name {
+  grid-column: 1;
+}
+
+.xr-var-dims {
+  grid-column: 2;
+}
+
+.xr-var-dtype {
+  grid-column: 3;
+  text-align: right;
+  color: var(--xr-font-color2);
+}
+
+.xr-var-preview {
+  grid-column: 4;
+}
+
+.xr-index-preview {
+  grid-column: 2 / 5;
+  color: var(--xr-font-color2);
+}
+
+.xr-var-name,
+.xr-var-dims,
+.xr-var-dtype,
+.xr-preview,
+.xr-attrs dt {
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  padding-right: 10px;
+}
+
+.xr-var-name:hover,
+.xr-var-dims:hover,
+.xr-var-dtype:hover,
+.xr-attrs dt:hover {
+  overflow: visible;
+  width: auto;
+  z-index: 1;
+}
+
+.xr-var-attrs,
+.xr-var-data,
+.xr-index-data {
+  display: none;
+  background-color: var(--xr-background-color) !important;
+  padding-bottom: 5px !important;
+}
+
+.xr-var-attrs-in:checked ~ .xr-var-attrs,
+.xr-var-data-in:checked ~ .xr-var-data,
+.xr-index-data-in:checked ~ .xr-index-data {
+  display: block;
+}
+
+.xr-var-data > table {
+  float: right;
+}
+
+.xr-var-name span,
+.xr-var-data,
+.xr-index-name div,
+.xr-index-data,
+.xr-attrs {
+  padding-left: 25px !important;
+}
+
+.xr-attrs,
+.xr-var-attrs,
+.xr-var-data,
+.xr-index-data {
+  grid-column: 1 / -1;
+}
+
+dl.xr-attrs {
+  padding: 0;
+  margin: 0;
+  display: grid;
+  grid-template-columns: 125px auto;
+}
+
+.xr-attrs dt,
+.xr-attrs dd {
+  padding: 0;
+  margin: 0;
+  float: left;
+  padding-right: 10px;
+  width: auto;
+}
+
+.xr-attrs dt {
+  font-weight: normal;
+  grid-column: 1;
+}
+
+.xr-attrs dt:hover span {
+  display: inline-block;
+  background: var(--xr-background-color);
+  padding-right: 10px;
+}
+
+.xr-attrs dd {
+  grid-column: 2;
+  white-space: pre-wrap;
+  word-break: break-all;
+}
+
+.xr-icon-database,
+.xr-icon-file-text2,
+.xr-no-icon {
+  display: inline-block;
+  vertical-align: middle;
+  width: 1em;
+  height: 1.5em !important;
+  stroke-width: 0;
+  stroke: currentColor;
+  fill: currentColor;
+}
+</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;
+Dimensions:  (time: 12)
+Coordinates:
+  * time     (time) datetime64[ns] 2022-01-16T12:00:00 ... 2022-12-16T12:00:00
+    height   float64 ...
+Data variables:
+    r1i1p1   (time) float32 ...
+    r2i1p1   (time) float32 ...
+    r3i1p1   (time) float32 ...
+    r4i1p1   (time) float32 ...
+    r5i1p1   (time) float32 ...
+Attributes:
+    standard_name:     air_temperature
+    long_name:         Near-Surface Air Temperature
+    units:             K
+    original_name:     ST
+    cell_methods:      time: mean (interval: 15 minutes)
+    cell_measures:     area: areacella
+    history:           2011-03-10T05:13:26Z altered by CMOR: Treated scalar d...
+    associated_files:  baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation...
+    rcp:               rcp85</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3d3b2fbd-44b2-4a9a-a881-c2f2dcac8f21' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3d3b2fbd-44b2-4a9a-a881-c2f2dcac8f21' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 12</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4dd46a05-c6a8-4126-ad0c-b42517b9e7b0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4dd46a05-c6a8-4126-ad0c-b42517b9e7b0' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-16T12:00:00 ... 2022-12-...</div><input id='attrs-27259bd5-75d7-452b-bc9c-309775e4bd9c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-27259bd5-75d7-452b-bc9c-309775e4bd9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50c09b0e-add0-475c-b6eb-c1e540f72c24' class='xr-var-data-in' type='checkbox'><label for='data-50c09b0e-add0-475c-b6eb-c1e540f72c24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-16T12:00:00.000000000&#x27;, &#x27;2022-02-15T00:00:00.000000000&#x27;,
+       &#x27;2022-03-16T12:00:00.000000000&#x27;, &#x27;2022-04-16T00:00:00.000000000&#x27;,
+       &#x27;2022-05-16T12:00:00.000000000&#x27;, &#x27;2022-06-16T00:00:00.000000000&#x27;,
+       &#x27;2022-07-16T12:00:00.000000000&#x27;, &#x27;2022-08-16T12:00:00.000000000&#x27;,
+       &#x27;2022-09-16T00:00:00.000000000&#x27;, &#x27;2022-10-16T12:00:00.000000000&#x27;,
+       &#x27;2022-11-16T00:00:00.000000000&#x27;, &#x27;2022-12-16T12:00:00.000000000&#x27;],
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4ac1cfd6-1d35-43d5-a32d-b37ef0f68317' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ac1cfd6-1d35-43d5-a32d-b37ef0f68317' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7c8c9e0-7141-4a2b-95ec-fcb1b1742553' class='xr-var-data-in' type='checkbox'><label for='data-d7c8c9e0-7141-4a2b-95ec-fcb1b1742553' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>long_name :</span></dt><dd>height</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d3ce777a-b9f1-4e63-bb1e-ae5e485ca399' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d3ce777a-b9f1-4e63-bb1e-ae5e485ca399' class='xr-section-summary' >Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>r1i1p1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4ed41881-e952-4a2a-8116-5e04004c75a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ed41881-e952-4a2a-8116-5e04004c75a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f46d5cfb-6707-43ef-91bf-2b60474cf188' class='xr-var-data-in' type='checkbox'><label for='data-f46d5cfb-6707-43ef-91bf-2b60474cf188' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-03-10T05:13:26Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-03-10T05:13:26Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_rcp85_r0i0p0.nc areacella: areacella_fx_CanESM2_rcp85_r0i0p0.nc</dd><dt><span>rcp :</span></dt><dd>rcp85</dd></dl></div><div class='xr-var-data'><pre>[12 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>r2i1p1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-19d1d20b-b361-46af-8b3b-d2d9a1c5fd9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19d1d20b-b361-46af-8b3b-d2d9a1c5fd9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e083d26-16f9-4f46-af21-fe47e60ae028' class='xr-var-data-in' type='checkbox'><label for='data-6e083d26-16f9-4f46-af21-fe47e60ae028' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-03-16T00:52:25Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-03-16T00:52:25Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_rcp85_r0i0p0.nc areacella: areacella_fx_CanESM2_rcp85_r0i0p0.nc</dd><dt><span>rcp :</span></dt><dd>rcp85</dd></dl></div><div class='xr-var-data'><pre>[12 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>r3i1p1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ecf7e82d-f615-42d8-bf66-7ffd5cc67f8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ecf7e82d-f615-42d8-bf66-7ffd5cc67f8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-911cf497-ab6e-4af4-9899-f661a3a745c6' class='xr-var-data-in' type='checkbox'><label for='data-911cf497-ab6e-4af4-9899-f661a3a745c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-03-16T06:39:54Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-03-16T06:39:54Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_rcp85_r0i0p0.nc areacella: areacella_fx_CanESM2_rcp85_r0i0p0.nc</dd><dt><span>rcp :</span></dt><dd>rcp85</dd></dl></div><div class='xr-var-data'><pre>[12 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>r4i1p1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-85f3e62f-e44d-4da5-820b-1132c9c5ab69' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85f3e62f-e44d-4da5-820b-1132c9c5ab69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ada73805-234c-4f7d-8c18-9e58f32b1f87' class='xr-var-data-in' type='checkbox'><label for='data-ada73805-234c-4f7d-8c18-9e58f32b1f87' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-03-16T02:31:46Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-03-16T02:31:46Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_rcp85_r0i0p0.nc areacella: areacella_fx_CanESM2_rcp85_r0i0p0.nc</dd><dt><span>rcp :</span></dt><dd>rcp85</dd></dl></div><div class='xr-var-data'><pre>[12 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>r5i1p1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ef77bcef-4d83-4fea-b4b8-afc4098e8316' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef77bcef-4d83-4fea-b4b8-afc4098e8316' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffd3abbd-61ad-4253-8703-0e2750b37f0e' class='xr-var-data-in' type='checkbox'><label for='data-ffd3abbd-61ad-4253-8703-0e2750b37f0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-03-15T18:57:44Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-03-15T18:57:44Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_rcp85_r0i0p0.nc areacella: areacella_fx_CanESM2_rcp85_r0i0p0.nc</dd><dt><span>rcp :</span></dt><dd>rcp85</dd></dl></div><div class='xr-var-data'><pre>[12 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ff68adbc-34d6-470b-b6e5-34c21a1e703a' class='xr-section-summary-in' type='checkbox'  ><label for='section-ff68adbc-34d6-470b-b6e5-34c21a1e703a' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8c3d8401-40f6-4f80-bd59-c1fdc30cde25' class='xr-index-data-in' type='checkbox'/><label for='index-8c3d8401-40f6-4f80-bd59-c1fdc30cde25' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-01-16 12:00:00&#x27;, &#x27;2022-02-15 00:00:00&#x27;,
+               &#x27;2022-03-16 12:00:00&#x27;, &#x27;2022-04-16 00:00:00&#x27;,
+               &#x27;2022-05-16 12:00:00&#x27;, &#x27;2022-06-16 00:00:00&#x27;,
+               &#x27;2022-07-16 12:00:00&#x27;, &#x27;2022-08-16 12:00:00&#x27;,
+               &#x27;2022-09-16 00:00:00&#x27;, &#x27;2022-10-16 12:00:00&#x27;,
+               &#x27;2022-11-16 00:00:00&#x27;, &#x27;2022-12-16 12:00:00&#x27;],
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0358c3ab-f922-4ee1-8db8-4aa1657cd41f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0358c3ab-f922-4ee1-8db8-4aa1657cd41f' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>original_name :</span></dt><dd>ST</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 15 minutes)</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-03-10T05:13:26Z altered by CMOR: Treated scalar dimension: &#x27;height&#x27;. 2011-03-10T05:13:26Z altered by CMOR: replaced missing value flag (1e+38) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_CanESM2_rcp85_r0i0p0.nc areacella: areacella_fx_CanESM2_rcp85_r0i0p0.nc</dd><dt><span>rcp :</span></dt><dd>rcp85</dd></dl></div></li></ul></div></div></div></div>
+</div>
+</div>
+<div class="section" id="perform-the-statistical-calculations">
+<h3>Perform the statistical calculations<a class="headerlink" href="#perform-the-statistical-calculations" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<ol class="arabic simple">
+<li><p>We need to compute the standard deviation for both our ERA5 observed temperature data and our CMIP5 RCP8.5 modeled temperature.</p></li>
+<li><p>Find the correlation coefficient between them.</p></li>
+<li><p>Then, divide the model standard deviation by the observed standard deviation to normalize it around the value 1.</p></li>
+</ol>
+<p>In the next cell we will perform this calculation for all ensemble members.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">temp_rcp85_std</span> <span class="o">=</span> <span class="p">[]</span>
+<span class="n">temp_rcp85_corr</span> <span class="o">=</span> <span class="p">[]</span>
+
+<span class="n">std_temp_obsv</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">era5_temp</span><span class="o">.</span><span class="n">std</span><span class="p">()</span><span class="o">.</span><span class="n">values</span><span class="p">)</span>
+
+<span class="k">for</span> <span class="n">em</span> <span class="ow">in</span> <span class="nb">list</span><span class="p">(</span><span class="n">tas_rcp85</span><span class="o">.</span><span class="n">data_vars</span><span class="p">):</span> <span class="c1"># for each ensemble member</span>
+    <span class="n">std</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">tas_rcp85</span><span class="p">[</span><span class="n">em</span><span class="p">]</span><span class="o">.</span><span class="n">std</span><span class="p">()</span><span class="o">.</span><span class="n">values</span><span class="p">)</span>
+    <span class="n">std_norm</span> <span class="o">=</span> <span class="n">std</span> <span class="o">/</span> <span class="n">std_temp_obsv</span>
+
+    <span class="n">corr</span><span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">xr</span><span class="o">.</span><span class="n">corr</span><span class="p">(</span><span class="n">era5_temp</span><span class="p">,</span> <span class="n">tas_rcp85</span><span class="p">[</span><span class="n">em</span><span class="p">])</span><span class="o">.</span><span class="n">values</span><span class="p">)</span>
+
+    <span class="n">temp_rcp85_std</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">std_norm</span><span class="p">)</span>
+    <span class="n">temp_rcp85_corr</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">corr</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="section" id="plotting-different-ensemble-members">
+<h2>Plotting Different Ensemble Members<a class="headerlink" href="#plotting-different-ensemble-members" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>One application of a Taylor Diagram application is to plot the same variable from different ensembles of the same climate model.</p>
+<p>This Taylor diagram differs from our simple example in that we’ve specified more keyword arguments in our <code class="docutils literal notranslate"><span class="pre">taylor.add_model_set()</span></code> call, specifying how we want our dots to be drawn. We’ve also added a legend of ensemble members with <code class="docutils literal notranslate"><span class="pre">taylor.add_model_name()</span></code>.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Create figure and Taylor Diagram instance</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">12</span><span class="p">))</span>
+<span class="n">taylor</span> <span class="o">=</span> <span class="n">gv</span><span class="o">.</span><span class="n">TaylorDiagram</span><span class="p">(</span><span class="n">fig</span><span class="o">=</span><span class="n">fig</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;REF&#39;</span><span class="p">)</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">()</span>
+
+<span class="c1"># Draw diagonal dashed lines from origin to correlation values</span>
+<span class="c1"># Also enforces proper X-Y ratio</span>
+<span class="n">taylor</span><span class="o">.</span><span class="n">add_xgrid</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.6</span><span class="p">,</span> <span class="mf">0.9</span><span class="p">]))</span>
+
+<span class="c1"># Add model sets for p and t datasets</span>
+<span class="n">taylor</span><span class="o">.</span><span class="n">add_model_set</span><span class="p">(</span>
+    <span class="n">temp_rcp85_std</span><span class="p">,</span>
+    <span class="n">temp_rcp85_corr</span><span class="p">,</span>
+    <span class="n">fontsize</span><span class="o">=</span><span class="mi">20</span><span class="p">,</span>  <span class="c1"># specify font size</span>
+    <span class="n">xytext</span><span class="o">=</span><span class="p">(</span><span class="o">-</span><span class="mi">5</span><span class="p">,</span> <span class="mi">10</span><span class="p">),</span>  <span class="c1"># marker label location, in pixels</span>
+    <span class="n">color</span><span class="o">=</span><span class="s1">&#39;red&#39;</span><span class="p">,</span> <span class="c1"># specify marker color</span>
+    <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;o&#39;</span><span class="p">,</span> <span class="c1"># specify marker shape</span>
+    <span class="n">facecolors</span><span class="o">=</span><span class="s1">&#39;none&#39;</span><span class="p">,</span> <span class="c1"># specify marker fill</span>
+    <span class="n">s</span><span class="o">=</span><span class="mi">100</span><span class="p">)</span>  <span class="c1"># marker size</span>
+
+<span class="c1"># Add legend of ensemble names</span>
+<span class="n">namearr</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">tas_rcp85</span><span class="o">.</span><span class="n">data_vars</span><span class="p">)</span>
+<span class="n">taylor</span><span class="o">.</span><span class="n">add_model_name</span><span class="p">(</span><span class="n">namearr</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">)</span>
+
+<span class="c1"># Add figure title</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;RCP85 Temperature&quot;</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="mi">26</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mi">45</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/61eb61e7249546a496671fc26e60c7908f0651676d36367c4a00541e74c4f05c.png" src="../_images/61eb61e7249546a496671fc26e60c7908f0651676d36367c4a00541e74c4f05c.png" />
+</div>
+</div>
+</div>
+<div class="section" id="plotting-multiple-models">
+<h2>Plotting Multiple Models<a class="headerlink" href="#plotting-multiple-models" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>Another potential use case for a Taylor diagram is to plot multiple models. Here we compare RCP2.6, RCP4.5, and RCP8.5 together.</p>
+<p>Because it isn’t meaningful to compare ensemble members across model runs (the nature of the perturbations isn’t reliably similar across RCPs or labs), we will look at the first ensemble <code class="docutils literal notranslate"><span class="pre">r1i1p1</span></code> for all models. For your analysis, you might find it more meaningful to average across ensemble members, but we’ll keep it simple for this plotting example.</p>
+<p>Of course, you could still chose to display more information on one graph, but there is no real conection between the first ensemble of one model versus another.</p>
+<p>In this final example, we’ll add another layer of complexity to our Taylor Diagram plot with contour lines of constant normalized standard deviation.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Open RCP26 and RCP45 files</span>
+<span class="n">tas_rcp26</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">open_dataset</span><span class="p">(</span><span class="n">gdf</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;netcdf_files/tas_Amon_CanESM2_rcp26_2022_xyav.nc&#39;</span><span class="p">))</span>
+<span class="n">tas_rcp26</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">tas_rcp26</span><span class="o">.</span><span class="n">indexes</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">to_datetimeindex</span><span class="p">()</span>
+
+<span class="n">tas_rcp45</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">open_dataset</span><span class="p">(</span><span class="n">gdf</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;netcdf_files/tas_Amon_CanESM2_rcp45_2022_xyav.nc&#39;</span><span class="p">))</span>
+<span class="n">tas_rcp45</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">tas_rcp45</span><span class="o">.</span><span class="n">indexes</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">to_datetimeindex</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Downloading file &#39;netcdf_files/tas_Amon_CanESM2_rcp26_2022_xyav.nc&#39; from &#39;https://github.com/NCAR/GeoCAT-datafiles/raw/main/netcdf_files/tas_Amon_CanESM2_rcp26_2022_xyav.nc&#39; to &#39;/home/runner/.cache/geocat&#39;.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_3417/3755510889.py:3: RuntimeWarning: Converting a CFTimeIndex with dates from a non-standard calendar, &#39;noleap&#39;, to a pandas.DatetimeIndex, which uses dates from the standard calendar.  This may lead to subtle errors in operations that depend on the length of time between dates.
+  tas_rcp26[&#39;time&#39;] = tas_rcp26.indexes[&#39;time&#39;].to_datetimeindex()
+Downloading file &#39;netcdf_files/tas_Amon_CanESM2_rcp45_2022_xyav.nc&#39; from &#39;https://github.com/NCAR/GeoCAT-datafiles/raw/main/netcdf_files/tas_Amon_CanESM2_rcp45_2022_xyav.nc&#39; to &#39;/home/runner/.cache/geocat&#39;.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_3417/3755510889.py:6: RuntimeWarning: Converting a CFTimeIndex with dates from a non-standard calendar, &#39;noleap&#39;, to a pandas.DatetimeIndex, which uses dates from the standard calendar.  This may lead to subtle errors in operations that depend on the length of time between dates.
+  tas_rcp45[&#39;time&#39;] = tas_rcp45.indexes[&#39;time&#39;].to_datetimeindex()
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Perform statistical analysis to create our standard deviation and correlation coefficient lists</span>
+<span class="n">temp_rcp26_std</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">tas_rcp26</span><span class="p">[</span><span class="s1">&#39;r1i1p1&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">std</span><span class="p">()</span><span class="o">.</span><span class="n">values</span><span class="p">)</span> 
+<span class="n">temp_rcp26_std_norm</span> <span class="o">=</span> <span class="n">temp_rcp26_std</span> <span class="o">/</span> <span class="n">std_temp_obsv</span>
+<span class="n">temp_rcp26_corr</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">xr</span><span class="o">.</span><span class="n">corr</span><span class="p">(</span><span class="n">era5_temp</span><span class="p">,</span> <span class="n">tas_rcp26</span><span class="p">[</span><span class="s1">&#39;r1i1p1&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">values</span><span class="p">)</span>
+
+<span class="n">temp_rcp45_std</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">tas_rcp45</span><span class="p">[</span><span class="s1">&#39;r1i1p1&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">std</span><span class="p">()</span><span class="o">.</span><span class="n">values</span><span class="p">)</span>
+<span class="n">temp_rcp45_std_norm</span> <span class="o">=</span> <span class="n">temp_rcp45_std</span> <span class="o">/</span> <span class="n">std_temp_obsv</span>
+<span class="n">temp_rcp45_corr</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">xr</span><span class="o">.</span><span class="n">corr</span><span class="p">(</span><span class="n">era5_temp</span><span class="p">,</span> <span class="n">tas_rcp45</span><span class="p">[</span><span class="s1">&#39;r1i1p1&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">values</span><span class="p">)</span>
+
+<span class="n">temp_std</span> <span class="o">=</span> <span class="p">[</span><span class="n">temp_rcp26_std_norm</span><span class="p">,</span> <span class="n">temp_rcp45_std_norm</span><span class="p">,</span> <span class="n">temp_rcp85_std</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span>
+<span class="n">temp_corr</span> <span class="o">=</span> <span class="p">[</span><span class="n">temp_rcp26_corr</span><span class="p">,</span> <span class="n">temp_rcp45_corr</span><span class="p">,</span> <span class="n">temp_rcp85_corr</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Create figure and Taylor Diagram instance</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">12</span><span class="p">))</span>
+<span class="n">taylor</span> <span class="o">=</span> <span class="n">gv</span><span class="o">.</span><span class="n">TaylorDiagram</span><span class="p">(</span><span class="n">fig</span><span class="o">=</span><span class="n">fig</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;REF&#39;</span><span class="p">)</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">()</span>
+
+<span class="c1"># Draw diagonal dashed lines from origin to correlation values</span>
+<span class="c1"># Also enforces proper X-Y ratio</span>
+<span class="n">taylor</span><span class="o">.</span><span class="n">add_xgrid</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.6</span><span class="p">,</span> <span class="mf">0.9</span><span class="p">]))</span>
+
+<span class="c1"># Add model set for temp dataset</span>
+<span class="n">taylor</span><span class="o">.</span><span class="n">add_model_set</span><span class="p">(</span>
+    <span class="n">temp_std</span><span class="p">,</span>
+    <span class="n">temp_corr</span><span class="p">,</span>
+    <span class="n">fontsize</span><span class="o">=</span><span class="mi">20</span><span class="p">,</span>
+    <span class="n">xytext</span><span class="o">=</span><span class="p">(</span><span class="o">-</span><span class="mi">5</span><span class="p">,</span> <span class="mi">10</span><span class="p">),</span>  <span class="c1"># marker label location, in pixels</span>
+    <span class="n">color</span><span class="o">=</span><span class="s1">&#39;red&#39;</span><span class="p">,</span>
+    <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;o&#39;</span><span class="p">,</span>
+    <span class="n">facecolors</span><span class="o">=</span><span class="s1">&#39;none&#39;</span><span class="p">,</span>
+    <span class="n">s</span><span class="o">=</span><span class="mi">100</span><span class="p">)</span>  <span class="c1"># marker size</span>
+
+<span class="c1">#gv.util.set_axes_limits_and_ticks(ax, xlim=[0,2])</span>
+
+<span class="n">namearr</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;rcp26&#39;</span><span class="p">,</span> <span class="s1">&#39;rcp45&#39;</span><span class="p">,</span> <span class="s1">&#39;rcp85&#39;</span><span class="p">]</span>
+<span class="n">taylor</span><span class="o">.</span><span class="n">add_model_name</span><span class="p">(</span><span class="n">namearr</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">)</span>
+
+<span class="c1"># Add figure title</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;CMIP5 Temperature - First Ensemble Member&quot;</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="mi">26</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mi">45</span><span class="p">)</span>
+
+<span class="c1"># Add constant centered RMS difference contours.</span>
+<span class="n">taylor</span><span class="o">.</span><span class="n">add_contours</span><span class="p">(</span><span class="n">levels</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mf">1.1</span><span class="p">,</span> <span class="mf">0.25</span><span class="p">),</span>
+                 <span class="n">colors</span><span class="o">=</span><span class="s1">&#39;lightgrey&#39;</span><span class="p">,</span>
+                 <span class="n">linewidths</span><span class="o">=</span><span class="mf">0.5</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/264c560acde28e9c4312e5d3ecddec90767c9a938c102851288989968f83d33e.png" src="../_images/264c560acde28e9c4312e5d3ecddec90767c9a938c102851288989968f83d33e.png" />
+</div>
+</div>
+<p>Based on these three RCPs it looks like RCP8.5 has the closest correlation to our observed climate behavior, but RCP2.6 has a closer standard deviation to what we experience. Based on your selected data, scientific interpretations may vary.</p>
+</div>
+<div class="section" id="plotting-multiple-variables">
+<h2>Plotting Multiple Variables<a class="headerlink" href="#plotting-multiple-variables" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>A Taylor Diagram can support multiple model sets, you simply need to call <code class="docutils literal notranslate"><span class="pre">taylor.add_model_set()</span></code> multiple times. By adding the <code class="docutils literal notranslate"><span class="pre">label</span></code> kwarg and calling <code class="docutils literal notranslate"><span class="pre">taylor.add_legend()</span></code> you can add a label distinguishing between the two sets.</p>
+<p>Since we’ve already demonstrated the statistical analysis necessary to perform Taylor Diagrams, the following example will be using sample data.</p>
+<p>Here we make sample data for 7 common climate model variables, for two different models.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Create sample data</span>
+
+<span class="c1"># Model A</span>
+<span class="n">a_sdev</span> <span class="o">=</span> <span class="p">[</span><span class="mf">1.230</span><span class="p">,</span> <span class="mf">0.988</span><span class="p">,</span> <span class="mf">1.092</span><span class="p">,</span> <span class="mf">1.172</span><span class="p">,</span> <span class="mf">1.064</span><span class="p">,</span> <span class="mf">0.966</span><span class="p">,</span> <span class="mf">1.079</span><span class="p">]</span>  <span class="c1"># normalized standard deviation</span>
+<span class="n">a_ccorr</span> <span class="o">=</span> <span class="p">[</span><span class="mf">0.958</span><span class="p">,</span> <span class="mf">0.973</span><span class="p">,</span> <span class="mf">0.740</span><span class="p">,</span> <span class="mf">0.743</span><span class="p">,</span> <span class="mf">0.922</span><span class="p">,</span> <span class="mf">0.982</span><span class="p">,</span> <span class="mf">0.952</span><span class="p">]</span>  <span class="c1"># correlation coefficient</span>
+
+<span class="c1"># Model B</span>
+<span class="n">b_sdev</span> <span class="o">=</span> <span class="p">[</span><span class="mf">1.129</span><span class="p">,</span> <span class="mf">0.996</span><span class="p">,</span> <span class="mf">1.016</span><span class="p">,</span> <span class="mf">1.134</span><span class="p">,</span> <span class="mf">1.023</span><span class="p">,</span> <span class="mf">0.962</span><span class="p">,</span> <span class="mf">1.048</span><span class="p">]</span>  <span class="c1"># normalized standard deviation</span>
+<span class="n">b_ccorr</span> <span class="o">=</span> <span class="p">[</span><span class="mf">0.963</span><span class="p">,</span> <span class="mf">0.975</span><span class="p">,</span> <span class="mf">0.801</span><span class="p">,</span> <span class="mf">0.814</span><span class="p">,</span> <span class="mf">0.946</span><span class="p">,</span> <span class="mf">0.984</span><span class="p">,</span> <span class="mf">0.968</span><span class="p">]</span>  <span class="c1"># correlation coefficient</span>
+
+<span class="c1"># Sample Variable List</span>
+<span class="n">var_list</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Surface Pressure&#39;</span><span class="p">,</span> <span class="s1">&#39;2m Temp&#39;</span><span class="p">,</span> <span class="s1">&#39;Dew Point Temp&#39;</span><span class="p">,</span> <span class="s1">&#39;U Wind&#39;</span><span class="p">,</span> <span class="s1">&#39;V Wind&#39;</span><span class="p">,</span> <span class="s1">&#39;Precip&#39;</span><span class="p">,</span> <span class="s1">&#39;Cloud Cov&#39;</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Create figure and TaylorDiagram instance</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">10</span><span class="p">))</span>
+<span class="n">taylor</span> <span class="o">=</span> <span class="n">gv</span><span class="o">.</span><span class="n">TaylorDiagram</span><span class="p">(</span><span class="n">fig</span><span class="o">=</span><span class="n">fig</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;REF&#39;</span><span class="p">)</span>
+
+<span class="c1"># Draw diagonal dashed lines from origin to correlation values</span>
+<span class="c1"># Also enforces proper X-Y ratio</span>
+<span class="n">taylor</span><span class="o">.</span><span class="n">add_xgrid</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.6</span><span class="p">,</span> <span class="mf">0.9</span><span class="p">]))</span>
+
+<span class="c1"># Add models to Taylor diagram</span>
+<span class="n">taylor</span><span class="o">.</span><span class="n">add_model_set</span><span class="p">(</span><span class="n">a_sdev</span><span class="p">,</span>
+                  <span class="n">a_ccorr</span><span class="p">,</span>
+                  <span class="n">color</span><span class="o">=</span><span class="s1">&#39;red&#39;</span><span class="p">,</span>
+                  <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;o&#39;</span><span class="p">,</span>
+                  <span class="n">label</span><span class="o">=</span><span class="s1">&#39;Model A&#39;</span><span class="p">,</span> <span class="c1"># add model set legend label</span>
+                  <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">)</span>
+
+<span class="n">taylor</span><span class="o">.</span><span class="n">add_model_set</span><span class="p">(</span><span class="n">b_sdev</span><span class="p">,</span>
+                  <span class="n">b_ccorr</span><span class="p">,</span>
+                  <span class="n">color</span><span class="o">=</span><span class="s1">&#39;blue&#39;</span><span class="p">,</span>
+                  <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;o&#39;</span><span class="p">,</span>
+                  <span class="n">label</span><span class="o">=</span><span class="s1">&#39;Model B&#39;</span><span class="p">,</span>
+                  <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">)</span>
+
+<span class="c1"># Add model name</span>
+<span class="n">taylor</span><span class="o">.</span><span class="n">add_model_name</span><span class="p">(</span><span class="n">var_list</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">)</span>
+
+<span class="c1"># Add figure legend</span>
+<span class="n">taylor</span><span class="o">.</span><span class="n">add_legend</span><span class="p">(</span><span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">)</span>
+
+<span class="c1"># Add constant centered RMS difference contours.</span>
+<span class="n">taylor</span><span class="o">.</span><span class="n">add_contours</span><span class="p">(</span><span class="n">levels</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mf">1.1</span><span class="p">,</span> <span class="mf">0.25</span><span class="p">),</span>
+                 <span class="n">colors</span><span class="o">=</span><span class="s1">&#39;lightgrey&#39;</span><span class="p">,</span>
+                 <span class="n">linewidths</span><span class="o">=</span><span class="mf">0.5</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/56716e143820e54bcb709a6281b492e4c5e426814f14ea440afdcd78532ad56a.png" src="../_images/56716e143820e54bcb709a6281b492e4c5e426814f14ea440afdcd78532ad56a.png" />
+</div>
+</div>
+</div>
+<div class="section" id="plotting-bias">
+<h2>Plotting Bias<a class="headerlink" href="#plotting-bias" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>We can add another layer of information to the Taylor Diagram by changing the marker size and shape depending on a third variable. Most commonly this is done to demonstrate bias, a statistical definition of the difference between the observed and estimated values.</p>
+<p>We do this by adding a <code class="docutils literal notranslate"><span class="pre">bias_array</span></code> kwarg to the <code class="docutils literal notranslate"><span class="pre">add_model_set()</span></code> method. Doing so necessitates removing the <code class="docutils literal notranslate"><span class="pre">marker</span></code> specification, since they are overriden with up or down arrows of varrying sizes. Bias values are in percentages.</p>
+<p>Indicate the meaning of these new bias symbols with a third legend with the call <code class="docutils literal notranslate"><span class="pre">add_bias_legend()</span></code>.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Sample corresponding bias data.</span>
+
+<span class="c1"># Case A</span>
+<span class="n">a_bias</span> <span class="o">=</span> <span class="p">[</span><span class="mf">2.7</span><span class="p">,</span> <span class="o">-</span><span class="mf">1.5</span><span class="p">,</span> <span class="mf">17.31</span><span class="p">,</span> <span class="o">-</span><span class="mf">20.11</span><span class="p">,</span> <span class="mf">12.5</span><span class="p">,</span> <span class="mf">8.341</span><span class="p">,</span> <span class="o">-</span><span class="mf">4.7</span><span class="p">]</span>  <span class="c1"># bias (%)</span>
+
+<span class="c1"># Case B</span>
+<span class="n">b_bias</span> <span class="o">=</span> <span class="p">[</span><span class="mf">1.7</span><span class="p">,</span> <span class="mf">2.5</span><span class="p">,</span> <span class="o">-</span><span class="mf">17.31</span><span class="p">,</span> <span class="mf">20.11</span><span class="p">,</span> <span class="mf">19.5</span><span class="p">,</span> <span class="mf">7.341</span><span class="p">,</span> <span class="mf">9.2</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Create figure and TaylorDiagram instance</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">10</span><span class="p">))</span>
+<span class="n">taylor</span> <span class="o">=</span> <span class="n">gv</span><span class="o">.</span><span class="n">TaylorDiagram</span><span class="p">(</span><span class="n">fig</span><span class="o">=</span><span class="n">fig</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;REF&#39;</span><span class="p">)</span>
+
+<span class="c1"># Draw diagonal dashed lines from origin to correlation values</span>
+<span class="c1"># Also enforces proper X-Y ratio</span>
+<span class="n">taylor</span><span class="o">.</span><span class="n">add_xgrid</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.6</span><span class="p">,</span> <span class="mf">0.9</span><span class="p">]))</span>
+
+<span class="c1"># Add models to Taylor diagram</span>
+<span class="n">taylor</span><span class="o">.</span><span class="n">add_model_set</span><span class="p">(</span><span class="n">a_sdev</span><span class="p">,</span>
+                  <span class="n">a_ccorr</span><span class="p">,</span>
+                  <span class="n">percent_bias_on</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="c1"># indicate marker and size to be plotted based on bias_array</span>
+                  <span class="n">bias_array</span><span class="o">=</span><span class="n">a_bias</span><span class="p">,</span> <span class="c1"># specify bias array</span>
+                  <span class="n">color</span><span class="o">=</span><span class="s1">&#39;red&#39;</span><span class="p">,</span>
+                  <span class="n">label</span><span class="o">=</span><span class="s1">&#39;Model A&#39;</span><span class="p">,</span>
+                  <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">)</span>
+
+<span class="n">taylor</span><span class="o">.</span><span class="n">add_model_set</span><span class="p">(</span><span class="n">b_sdev</span><span class="p">,</span>
+                  <span class="n">b_ccorr</span><span class="p">,</span>
+                  <span class="n">percent_bias_on</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                  <span class="n">bias_array</span><span class="o">=</span><span class="n">b_bias</span><span class="p">,</span>
+                  <span class="n">color</span><span class="o">=</span><span class="s1">&#39;blue&#39;</span><span class="p">,</span>
+                  <span class="n">label</span><span class="o">=</span><span class="s1">&#39;Model B&#39;</span><span class="p">,</span>
+                  <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">)</span>
+
+<span class="c1"># Add model name</span>
+<span class="n">taylor</span><span class="o">.</span><span class="n">add_model_name</span><span class="p">(</span><span class="n">var_list</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">)</span>
+
+<span class="c1"># Add figure legend</span>
+<span class="n">taylor</span><span class="o">.</span><span class="n">add_legend</span><span class="p">(</span><span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">)</span>
+
+<span class="c1"># Add bias legend</span>
+<span class="n">taylor</span><span class="o">.</span><span class="n">add_bias_legend</span><span class="p">()</span>
+
+<span class="c1"># Add constant centered RMS difference contours.</span>
+<span class="n">taylor</span><span class="o">.</span><span class="n">add_contours</span><span class="p">(</span><span class="n">levels</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mf">1.1</span><span class="p">,</span> <span class="mf">0.25</span><span class="p">),</span>
+                 <span class="n">colors</span><span class="o">=</span><span class="s1">&#39;lightgrey&#39;</span><span class="p">,</span>
+                 <span class="n">linewidths</span><span class="o">=</span><span class="mf">0.5</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/a2ee8597c34ad67fe495bbb9344a06ed3f776b5522060e85ffd20cef2f07d07d.png" src="../_images/a2ee8597c34ad67fe495bbb9344a06ed3f776b5522060e85ffd20cef2f07d07d.png" />
+</div>
+</div>
+</div>
+<div class="section" id="variants">
+<h2>Variants<a class="headerlink" href="#variants" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>Taylor Diagram’s can be altered in the following variations (not all of which are supported yet by GeoCAT-viz, please consider this <a class="reference external" href="https://docs.google.com/forms/d/e/1FAIpQLSeWuogl8Z671et3DdrmglenBPKGFmHVHkpSamTQeoPGuytLZw/viewform">feature request form</a>). Coming soon:</p>
+<ul class="simple">
+<li><p>Supporting display of negative correlations by extending the diagram into a second quandrant to the left.</p></li>
+<li><p>Supporting automatic notations connecting related points, say the same variable in two different models to see how it moves towards truth.</p></li>
+</ul>
+</div>
+<hr class="docutils" />
+<div class="section" id="summary">
+<h2>Summary<a class="headerlink" href="#summary" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>Taylor Diagrams allow you to display and compare statistical information about several models, variables, ensembles, or other dataset categorizations on a single plot. They are commonly used in climate analysis. With these tools under your belt, you’re ready to include stronger data visualizations in your research.</p>
+<div class="section" id="whats-next">
+<h3>What’s next?<a class="headerlink" href="#whats-next" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Let’s look at the meteorology specialty plots <a class="reference internal" href="5-skewt.html"><span class="doc std std-doc">Skew T Diagrams</span></a>.</p>
+</div>
+</div>
+<div class="section" id="resources-and-references">
+<h2>Resources and references<a class="headerlink" href="#resources-and-references" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<ul class="simple">
+<li><p>Karl E. Taylor - “Summarizing multiple aspects of model performance in a single diagram”, AGU 2001</p></li>
+<li><p><a class="reference external" href="https://github.com/anissa111/plotting-with-geocat-tutorial/blob/main/notebooks/02-geocat-viz.ipynb">Plotting with GeoCAT Tutorial</a></p></li>
+<li><p><a class="reference external" href="https://www.ncl.ucar.edu/Applications/taylor.shtml">NCL Graphics: Taylor Diagrams</a></p></li>
+</ul>
+</div>
+</div>
+
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+                <ul class="visible nav section-nav flex-column">
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#overview">
+   Overview
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#prerequisites">
+   Prerequisites
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#elements-of-a-skew-t-plot">
+   Elements of a Skew-T Plot
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#acquiring-sounding-data">
+   Acquiring Sounding Data
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#making-a-skew-t-plot-in-python-with-metpy">
+   Making a Skew-T plot in Python (with MetPy!)
+  </a>
+  <ul class="nav section-nav flex-column">
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#just-the-basics">
+     Just the basics
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#adding-more-structural-elements">
+     Adding more structural elements
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#polishing-the-plot">
+     Polishing the plot
+    </a>
+   </li>
+  </ul>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#additional-skew-t-options">
+   Additional Skew-T Options
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#summary">
+   Summary
+  </a>
+  <ul class="nav section-nav flex-column">
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#whats-next">
+     What’s next?
+    </a>
+   </li>
+  </ul>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#resources-and-references">
+   Resources and references
+  </a>
+ </li>
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+
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+</div>
+          <div id="main-content" class="row">
+            <div class="col-12 col-md-9 pl-md-3 pr-md-0">
+              
+              <div>
+                
+  <div class="tex2jax_ignore mathjax_ignore section" id="skew-t-diagrams">
+<h1>Skew T Diagrams<a class="headerlink" href="#skew-t-diagrams" title="Permalink to this headline"><i class="fas fa-link"></i></a></h1>
+<div class="section" id="overview">
+<h2>Overview<a class="headerlink" href="#overview" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>Skew-T plots are effective thermodynamic diagrams used in meteorology. They display data collected from radiosonde balloons collecting atmospheric data including pressure level, temperature, relative humidity, and wind speed and direction.</p>
+<p>In this notebook, we’ll learn about the structural and data components of Skew-T diagrams and how to plot them in Python using the <a class="reference external" href="https://unidata.github.io/MetPy/latest/index.html"><code class="docutils literal notranslate"><span class="pre">MetPy</span></code></a> package.</p>
+<ol class="arabic simple">
+<li><p>Elements of a Skew-T Diagram</p></li>
+<li><p>Acquiring Sounding Data</p></li>
+<li><p>Making a Skew-T plot in Python (with MetPy!)</p></li>
+</ol>
+</div>
+<div class="section" id="prerequisites">
+<h2>Prerequisites<a class="headerlink" href="#prerequisites" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<table class="colwidths-auto table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Concepts</p></th>
+<th class="head"><p>Importance</p></th>
+<th class="head"><p>Notes</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p><a class="reference external" href="https://foundations.projectpythia.org/core/matplotlib.html">Matplotlib</a></p></td>
+<td><p>Necessary</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference external" href="https://unidata.github.io/MetPy/latest/index.html">Metpy</a></p></td>
+<td><p>Useful</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+<ul class="simple">
+<li><p><strong>Time to learn</strong>: 10 minutes</p></li>
+</ul>
+</div>
+<hr class="docutils" />
+<div class="section" id="elements-of-a-skew-t-plot">
+<h2>Elements of a Skew-T Plot<a class="headerlink" href="#elements-of-a-skew-t-plot" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>Let’s start out by talking about the structural elements of a Skew-T plot.</p>
+<ol class="arabic simple">
+<li><p><strong>Temperature Lines</strong> are drawn at an angle up from the x-axis and are where the name “Skew-T” comes from.</p></li>
+<li><p><strong>Pressure Lines</strong> are horizontal from the y-axis, where pressure is plotted at a logarithmic scale.</p></li>
+<li><p><strong>Dry Adiabats</strong>: are lines of constant potential temperature.</p></li>
+<li><p><strong>Moist Adiabats</strong>: are lines of constant equivalent potential temperature.</p></li>
+<li><p><strong>Mixing Ratio Lines</strong>: represent lines of constant mixing ratio.</p></li>
+</ol>
+<p>On all those structural elements, Skew-T plots have two lines plotted on them, <strong>air temperature</strong> and <strong>dew point</strong>. In this notebook, we’ll be plotting the air temperature in red and the dew point in blue.</p>
+<p>Additionally, Skew-T plots have <strong>wind barbs</strong>. These describe the wind speed and direction at different pressure levels and are plotted on the right side of the diagram.</p>
+<div class="admonition tip">
+<p class="admonition-title">Tip</p>
+<p>For a more detailed description and a cool interactive diagram, visit <a class="reference external" href="https://www.noaa.gov/jetstream/upperair/skew-t-log-p-diagrams">NOAA’s Skew-T page</a>.</p>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="kn">from</span> <span class="nn">mpl_toolkits.axes_grid1.inset_locator</span> <span class="kn">import</span> <span class="n">inset_axes</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+
+<span class="kn">from</span> <span class="nn">metpy.plots</span> <span class="kn">import</span> <span class="n">SkewT</span><span class="p">,</span> <span class="n">Hodograph</span>
+<span class="kn">import</span> <span class="nn">metpy.calc</span> <span class="k">as</span> <span class="nn">mpcalc</span>
+<span class="kn">from</span> <span class="nn">metpy.units</span> <span class="kn">import</span> <span class="n">units</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="section" id="acquiring-sounding-data">
+<h2>Acquiring Sounding Data<a class="headerlink" href="#acquiring-sounding-data" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>If you want to get your own sounding data, run the following code in a new cell using the date and station of your choice:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">datetime</span> <span class="kn">import</span> <span class="n">datetime</span>
+<span class="kn">from</span> <span class="nn">siphon.simplewebservice.wyoming</span> <span class="kn">import</span> <span class="n">WyomingUpperAir</span>
+
+<span class="n">date</span> <span class="o">=</span> <span class="n">datetime</span><span class="p">(</span><span class="mi">2023</span><span class="p">,</span> <span class="mi">7</span><span class="p">,</span> <span class="mi">7</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
+<span class="n">station</span> <span class="o">=</span> <span class="s1">&#39;JAX&#39;</span>
+<span class="n">df</span> <span class="o">=</span> <span class="n">WyomingUpperAir</span><span class="o">.</span><span class="n">request_data</span><span class="p">(</span><span class="n">date</span><span class="p">,</span> <span class="n">station</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>We’ve already done this for you and saved the data in a file, <code class="docutils literal notranslate"><span class="pre">notebooks/data/jax_sounding.csv</span></code> for you to use. We’ll use that file’s data for the rest of the notebook</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;data/jax_sounding.csv&#39;</span><span class="p">)</span>
+<span class="n">df</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_html"><div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>pressure</th>
+      <th>height</th>
+      <th>temperature</th>
+      <th>dewpoint</th>
+      <th>direction</th>
+      <th>speed</th>
+      <th>u_wind</th>
+      <th>v_wind</th>
+      <th>station</th>
+      <th>station_number</th>
+      <th>time</th>
+      <th>latitude</th>
+      <th>longitude</th>
+      <th>elevation</th>
+      <th>pw</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>0</th>
+      <td>1012.0</td>
+      <td>9.0</td>
+      <td>24.8</td>
+      <td>23.6</td>
+      <td>0</td>
+      <td>0</td>
+      <td>0.000000</td>
+      <td>0.000000</td>
+      <td>JAX</td>
+      <td>72206</td>
+      <td>2023-07-07</td>
+      <td>30.5</td>
+      <td>-81.7</td>
+      <td>9.0</td>
+      <td>58.42</td>
+    </tr>
+    <tr>
+      <th>1</th>
+      <td>1003.0</td>
+      <td>88.0</td>
+      <td>26.3</td>
+      <td>22.6</td>
+      <td>210</td>
+      <td>14</td>
+      <td>7.000000</td>
+      <td>12.124356</td>
+      <td>JAX</td>
+      <td>72206</td>
+      <td>2023-07-07</td>
+      <td>30.5</td>
+      <td>-81.7</td>
+      <td>9.0</td>
+      <td>58.42</td>
+    </tr>
+    <tr>
+      <th>2</th>
+      <td>1000.0</td>
+      <td>115.0</td>
+      <td>26.8</td>
+      <td>22.2</td>
+      <td>210</td>
+      <td>14</td>
+      <td>7.000000</td>
+      <td>12.124356</td>
+      <td>JAX</td>
+      <td>72206</td>
+      <td>2023-07-07</td>
+      <td>30.5</td>
+      <td>-81.7</td>
+      <td>9.0</td>
+      <td>58.42</td>
+    </tr>
+    <tr>
+      <th>3</th>
+      <td>993.0</td>
+      <td>177.0</td>
+      <td>26.8</td>
+      <td>21.8</td>
+      <td>200</td>
+      <td>14</td>
+      <td>4.788282</td>
+      <td>13.155697</td>
+      <td>JAX</td>
+      <td>72206</td>
+      <td>2023-07-07</td>
+      <td>30.5</td>
+      <td>-81.7</td>
+      <td>9.0</td>
+      <td>58.42</td>
+    </tr>
+    <tr>
+      <th>4</th>
+      <td>986.0</td>
+      <td>240.0</td>
+      <td>26.6</td>
+      <td>20.8</td>
+      <td>190</td>
+      <td>14</td>
+      <td>2.431074</td>
+      <td>13.787309</td>
+      <td>JAX</td>
+      <td>72206</td>
+      <td>2023-07-07</td>
+      <td>30.5</td>
+      <td>-81.7</td>
+      <td>9.0</td>
+      <td>58.42</td>
+    </tr>
+    <tr>
+      <th>...</th>
+      <td>...</td>
+      <td>...</td>
+      <td>...</td>
+      <td>...</td>
+      <td>...</td>
+      <td>...</td>
+      <td>...</td>
+      <td>...</td>
+      <td>...</td>
+      <td>...</td>
+      <td>...</td>
+      <td>...</td>
+      <td>...</td>
+      <td>...</td>
+      <td>...</td>
+    </tr>
+    <tr>
+      <th>130</th>
+      <td>11.0</td>
+      <td>30681.0</td>
+      <td>-45.0</td>
+      <td>-79.0</td>
+      <td>70</td>
+      <td>29</td>
+      <td>-27.251086</td>
+      <td>-9.918584</td>
+      <td>JAX</td>
+      <td>72206</td>
+      <td>2023-07-07</td>
+      <td>30.5</td>
+      <td>-81.7</td>
+      <td>9.0</td>
+      <td>58.42</td>
+    </tr>
+    <tr>
+      <th>131</th>
+      <td>10.4</td>
+      <td>31057.0</td>
+      <td>-44.3</td>
+      <td>-78.3</td>
+      <td>79</td>
+      <td>33</td>
+      <td>-32.393697</td>
+      <td>-6.296697</td>
+      <td>JAX</td>
+      <td>72206</td>
+      <td>2023-07-07</td>
+      <td>30.5</td>
+      <td>-81.7</td>
+      <td>9.0</td>
+      <td>58.42</td>
+    </tr>
+    <tr>
+      <th>132</th>
+      <td>10.0</td>
+      <td>31320.0</td>
+      <td>-44.7</td>
+      <td>-78.7</td>
+      <td>85</td>
+      <td>36</td>
+      <td>-35.863009</td>
+      <td>-3.137607</td>
+      <td>JAX</td>
+      <td>72206</td>
+      <td>2023-07-07</td>
+      <td>30.5</td>
+      <td>-81.7</td>
+      <td>9.0</td>
+      <td>58.42</td>
+    </tr>
+    <tr>
+      <th>133</th>
+      <td>9.4</td>
+      <td>31735.0</td>
+      <td>-43.7</td>
+      <td>-77.7</td>
+      <td>85</td>
+      <td>37</td>
+      <td>-36.859204</td>
+      <td>-3.224762</td>
+      <td>JAX</td>
+      <td>72206</td>
+      <td>2023-07-07</td>
+      <td>30.5</td>
+      <td>-81.7</td>
+      <td>9.0</td>
+      <td>58.42</td>
+    </tr>
+    <tr>
+      <th>134</th>
+      <td>9.0</td>
+      <td>NaN</td>
+      <td>NaN</td>
+      <td>NaN</td>
+      <td>85</td>
+      <td>37</td>
+      <td>-36.859204</td>
+      <td>-3.224762</td>
+      <td>JAX</td>
+      <td>72206</td>
+      <td>2023-07-07</td>
+      <td>30.5</td>
+      <td>-81.7</td>
+      <td>9.0</td>
+      <td>58.42</td>
+    </tr>
+  </tbody>
+</table>
+<p>135 rows × 15 columns</p>
+</div></div></div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">h</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;height&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
+<span class="n">p</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;pressure&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
+<span class="n">T</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;temperature&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
+<span class="n">Td</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;dewpoint&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
+<span class="n">u</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;u_wind&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
+<span class="n">v</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;v_wind&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="section" id="making-a-skew-t-plot-in-python-with-metpy">
+<h2>Making a Skew-T plot in Python (with MetPy!)<a class="headerlink" href="#making-a-skew-t-plot-in-python-with-metpy" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>So, all of that might seem a little abstract without a visual. We’re going to use MetPy’s SkewT module to make an actual Skew-T plot with the sounding data we downloaded earlier.</p>
+<p>From the <a class="reference external" href="https://unidata.github.io/MetPy/latest/api/generated/metpy.plots.SkewT.html">MetPy documentation</a>:</p>
+<blockquote>
+<div><p>“This class simplifies the process of creating Skew-T log-P plots in using matplotlib. It handles requesting the appropriate skewed projection, and provides simplified wrappers to make it easy to plot data, add wind barbs, and add other lines to the plots (e.g. dry adiabats)”</p>
+</div></blockquote>
+<div class="section" id="just-the-basics">
+<h3>Just the basics<a class="headerlink" href="#just-the-basics" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>To start with, let’s create a very minimal Skew-T plot with just the pressure and temperature lines under the sounding data.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># make figure and `SkewT` object</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">9</span><span class="p">,</span> <span class="mi">9</span><span class="p">))</span>
+<span class="n">skewt</span> <span class="o">=</span> <span class="n">SkewT</span><span class="p">(</span><span class="n">fig</span><span class="o">=</span><span class="n">fig</span><span class="p">,</span> <span class="n">rotation</span><span class="o">=</span><span class="mi">45</span><span class="p">)</span>
+
+<span class="c1"># plot sounding data</span>
+<span class="n">skewt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="n">T</span><span class="p">,</span> <span class="s1">&#39;r&#39;</span><span class="p">)</span>  <span class="c1"># air temperature</span>
+<span class="n">skewt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="n">Td</span><span class="p">,</span> <span class="s1">&#39;b&#39;</span><span class="p">)</span>  <span class="c1"># dew point</span>
+<span class="n">skewt</span><span class="o">.</span><span class="n">plot_barbs</span><span class="p">(</span><span class="n">p</span><span class="p">[</span><span class="n">p</span> <span class="o">&gt;=</span> <span class="mi">100</span><span class="p">],</span> <span class="n">u</span><span class="p">[</span><span class="n">p</span> <span class="o">&gt;=</span> <span class="mi">100</span><span class="p">],</span> <span class="n">v</span><span class="p">[</span><span class="n">p</span> <span class="o">&gt;=</span> <span class="mi">100</span><span class="p">])</span>  <span class="c1"># wind barbs</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.quiver.Barbs at 0x7f2eec2a33d0&gt;
+</pre></div>
+</div>
+<img alt="../_images/9f9ac4715094b098607f815e88f54353ff70c674665f9629e360cf9121dac391.png" src="../_images/9f9ac4715094b098607f815e88f54353ff70c674665f9629e360cf9121dac391.png" />
+</div>
+</div>
+<p>Let’s talk break that down a bit.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="c1"># make figure and `SkewT` object</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">9</span><span class="p">,</span> <span class="mi">9</span><span class="p">))</span>
+<span class="n">skewt</span> <span class="o">=</span> <span class="n">SkewT</span><span class="p">(</span><span class="n">fig</span><span class="o">=</span><span class="n">fig</span><span class="p">,</span> <span class="n">rotation</span><span class="o">=</span><span class="mi">45</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>First, we made a new figure and used it to make a new skew-T plot. If you don’t provide a figure to <code class="docutils literal notranslate"><span class="pre">SkewT</span></code>, one will be created for you, but it’s useful to make the default figure size a bit larger for this tutorial.</p>
+<p>Additionally, we’ve also set the <code class="docutils literal notranslate"><span class="pre">rotation</span></code> kwarg to be 45 degrees. This is the angle that the temperature lines will be drawn at. <code class="docutils literal notranslate"><span class="pre">MetPy</span></code>’s default is 30 degrees, but we’re going to use a more traditional 45 degrees for this tutorial.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span>
+```python
+# plot sounding data
+skewt.plot(p, T, &#39;r&#39;) # air temperature
+skewt.plot(p, Td, &#39;b&#39;) # dew point
+</pre></div>
+</div>
+<p>For air temperature and dew point, we can use the standard <code class="docutils literal notranslate"><span class="pre">plot</span></code> method. The <code class="docutils literal notranslate"><span class="pre">SkewT</span></code> object provides a wrapper around matplotlib’s <code class="docutils literal notranslate"><span class="pre">plot</span></code> method, and can be used in the same way. Note that even though pressure is on the y-axis, we still provide it as the first argument to <code class="docutils literal notranslate"><span class="pre">plot</span></code> because it is the independent variable.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">skewt</span><span class="o">.</span><span class="n">plot_barbs</span><span class="p">(</span><span class="n">p</span><span class="p">[</span><span class="n">p</span> <span class="o">&gt;=</span> <span class="mi">100</span><span class="p">],</span> <span class="n">u</span><span class="p">[</span><span class="n">p</span> <span class="o">&gt;=</span> <span class="mi">100</span><span class="p">],</span> <span class="n">v</span><span class="p">[</span><span class="n">p</span> <span class="o">&gt;=</span> <span class="mi">100</span><span class="p">])</span> <span class="c1"># wind barbs</span>
+</pre></div>
+</div>
+<p>Finally, we use <code class="docutils literal notranslate"><span class="pre">SkewT</span></code>’s <a class="reference external" href="https://unidata.github.io/MetPy/latest/api/generated/metpy.plots.SkewT.html#metpy.plots.SkewT.plot_barbs"><code class="docutils literal notranslate"><span class="pre">plot_barbs</span></code></a> method to add the wind barbs to the right side of the plot. This is a wrapper around matplotlib’s <a class="reference external" href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.barbs.html#matplotlib.pyplot.barbs"><code class="docutils literal notranslate"><span class="pre">barbs</span></code></a> method that applies the appropriate transformation and positions the barbs as expected for a Skew-T plot. Note that we only plot the wind barbs for pressure levels greater than 100 hPa. This is just to keep the wind barbs from extending off the plot.</p>
+<p>In addition to the elements we have added specifically, you can see that the <code class="docutils literal notranslate"><span class="pre">SkewT</span></code> object also added some of the structural elements we discussed previously. By default, <code class="docutils literal notranslate"><span class="pre">SkewT</span></code> adds the horizontal pressure and skewed temperature lines.</p>
+</div>
+<div class="section" id="adding-more-structural-elements">
+<h3>Adding more structural elements<a class="headerlink" href="#adding-more-structural-elements" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Next, let’s add the rest of the structural elements to the plot.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># make figure and `SkewT` object</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">9</span><span class="p">,</span> <span class="mi">9</span><span class="p">))</span>
+<span class="n">skewt</span> <span class="o">=</span> <span class="n">SkewT</span><span class="p">(</span><span class="n">fig</span><span class="o">=</span><span class="n">fig</span><span class="p">,</span> <span class="n">rotation</span><span class="o">=</span><span class="mi">45</span><span class="p">)</span>
+
+<span class="c1"># plot sounding data</span>
+<span class="n">skewt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="n">T</span><span class="p">,</span> <span class="s1">&#39;r&#39;</span><span class="p">)</span> <span class="c1"># air temperature</span>
+<span class="n">skewt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="n">Td</span><span class="p">,</span> <span class="s1">&#39;b&#39;</span><span class="p">)</span> <span class="c1"># dew point</span>
+<span class="n">skewt</span><span class="o">.</span><span class="n">plot_barbs</span><span class="p">(</span><span class="n">p</span><span class="p">[</span><span class="n">p</span> <span class="o">&gt;=</span> <span class="mi">100</span><span class="p">],</span> <span class="n">u</span><span class="p">[</span><span class="n">p</span> <span class="o">&gt;=</span> <span class="mi">100</span><span class="p">],</span> <span class="n">v</span><span class="p">[</span><span class="n">p</span> <span class="o">&gt;=</span> <span class="mi">100</span><span class="p">])</span>  <span class="c1"># wind barbs</span>
+
+<span class="c1"># add dry adiabats, moist adiabats, and mixing ratio lines</span>
+<span class="n">skewt</span><span class="o">.</span><span class="n">plot_dry_adiabats</span><span class="p">()</span>
+<span class="n">skewt</span><span class="o">.</span><span class="n">plot_moist_adiabats</span><span class="p">()</span>
+<span class="n">skewt</span><span class="o">.</span><span class="n">plot_mixing_lines</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.LineCollection at 0x7f2eec32a5d0&gt;
+</pre></div>
+</div>
+<img alt="../_images/e2bf3dda858cf58e88dacf442a15ae3519c6dcfecb7afb0485f80eaf1347dc64.png" src="../_images/e2bf3dda858cf58e88dacf442a15ae3519c6dcfecb7afb0485f80eaf1347dc64.png" />
+</div>
+</div>
+<p>Similarly to the <code class="docutils literal notranslate"><span class="pre">plot_barbs</span></code> command, the <code class="docutils literal notranslate"><span class="pre">SkewT</span></code> object provides convenient methods for adding the remaining structural elements to the plot.</p>
+<p>The default appearance of these elements is:</p>
+<ul class="simple">
+<li><p><strong>Dry Adiabats</strong>: dashed red/pinkish lines with an alpha value of 0.5</p></li>
+<li><p><strong>Moist Adiabats</strong>: dashed blue lines with an alpha value of 0.5</p></li>
+<li><p><strong>Mixing Ratio Lines</strong>: dashed green lines with an alpha value of 0.8</p></li>
+</ul>
+<p>These defaults can be overwritten by providing additional keyword arguments to the methods.</p>
+</div>
+<div class="section" id="polishing-the-plot">
+<h3>Polishing the plot<a class="headerlink" href="#polishing-the-plot" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Now that we have all the structural elements on the plot, let’s make it look a little nicer. The previous plot has all the necessary information, but it’s a little cluttered and hard to read.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># make figure and `SkewT` object</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span><span class="mi">12</span><span class="p">))</span>
+<span class="n">skewt</span> <span class="o">=</span> <span class="n">SkewT</span><span class="p">(</span><span class="n">fig</span><span class="o">=</span><span class="n">fig</span><span class="p">)</span>
+<span class="n">skewt</span><span class="o">.</span><span class="n">ax</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">(</span><span class="mi">1000</span><span class="p">,</span> <span class="mi">10</span><span class="p">)</span>
+
+<span class="c1"># plot sounding data</span>
+<span class="n">skewt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="n">T</span><span class="p">,</span> <span class="s1">&#39;r&#39;</span><span class="p">)</span> <span class="c1"># air temperature</span>
+<span class="n">skewt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="n">Td</span><span class="p">,</span> <span class="s1">&#39;b&#39;</span><span class="p">)</span> <span class="c1"># dew point</span>
+<span class="n">skewt</span><span class="o">.</span><span class="n">plot_barbs</span><span class="p">(</span><span class="n">p</span><span class="p">[::</span><span class="mi">5</span><span class="p">],</span> <span class="n">u</span><span class="p">[::</span><span class="mi">5</span><span class="p">],</span> <span class="n">v</span><span class="p">[::</span><span class="mi">5</span><span class="p">])</span> <span class="c1"># add a wind barb every fifth level</span>
+
+<span class="c1"># add dry adiabats, moist adiabats, and mixing ratio lines</span>
+<span class="n">skewt</span><span class="o">.</span><span class="n">plot_dry_adiabats</span><span class="p">(</span><span class="n">linewidth</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
+<span class="n">skewt</span><span class="o">.</span><span class="n">plot_moist_adiabats</span><span class="p">(</span><span class="n">linewidth</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
+<span class="n">skewt</span><span class="o">.</span><span class="n">plot_mixing_lines</span><span class="p">(</span><span class="n">linewidth</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
+
+<span class="c1"># add axis and figure titles</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;station&#39;</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="s1">&#39; &#39;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">][</span><span class="mi">0</span><span class="p">]))</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;temperature (degC)&#39;</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;pressure (hPa)&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Text(0, 0.5, &#39;pressure (hPa)&#39;)
+</pre></div>
+</div>
+<img alt="../_images/ec4ab9e2d7fa3aaccf34ffe4428a4ddab75bebe704a507e0e660734c31e24981.png" src="../_images/ec4ab9e2d7fa3aaccf34ffe4428a4ddab75bebe704a507e0e660734c31e24981.png" />
+</div>
+</div>
+<p>Here, we’ve made the following changes:</p>
+<ul class="simple">
+<li><p>changed the figsize to <code class="docutils literal notranslate"><span class="pre">figsize=(8,12)</span></code></p></li>
+<li><p>removed the <code class="docutils literal notranslate"><span class="pre">rotation</span></code> kwarg from the <code class="docutils literal notranslate"><span class="pre">SkewT</span></code> object to allow the upper air temp and dew point lines to be seen without being cut off or expanding the x-axis limits</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">skewt.ax.set_ylim(1000,</span> <span class="pre">10)</span></code>: sets the y-axis limits to 1000 hPa at the bottom and 10 hPa at the top to include the entire sounding</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">skewt.plot_barbs(p[::5],</span> <span class="pre">u[::5],</span> <span class="pre">v[::5])</span></code>: plots every fifth wind barb to reduce clutter, also removes limiting the wind barbs to pressure levels greater than 100 hPa</p></li>
+<li><p>reduced the linewidth of the dry adiabats, moist adiabats, and mixing ratio lines to 0.5</p></li>
+<li><p>added axes labels</p></li>
+<li><p>added a title including the station name and date of the sounding pulled from the data</p></li>
+</ul>
+</div>
+</div>
+<div class="section" id="additional-skew-t-options">
+<h2>Additional Skew-T Options<a class="headerlink" href="#additional-skew-t-options" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>There are a few additional options that can be used to customize the appearance of the Skew-T plot that we haven’t covered here. For more information, check out the <a class="reference external" href="https://unidata.github.io/MetPy/latest/api/generated/metpy.plots.SkewT.html">MetPy documentation</a>.</p>
+<p>Here’s a few quick examples of some of those additional options:</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span> <span class="mi">4</span><span class="p">))</span>
+
+<span class="c1"># set up some subplots</span>
+<span class="n">skewt_plots</span> <span class="o">=</span> <span class="p">[]</span>
+<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="mi">4</span><span class="p">):</span>
+    <span class="n">skewt_plots</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">SkewT</span><span class="p">(</span><span class="n">fig</span><span class="o">=</span><span class="n">fig</span><span class="p">,</span> <span class="n">subplot</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">4</span><span class="p">,</span><span class="n">i</span><span class="o">+</span><span class="mi">1</span><span class="p">),</span> <span class="n">rotation</span><span class="o">=</span><span class="mi">45</span><span class="p">))</span>
+    <span class="n">skewt_plots</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="n">T</span><span class="p">,</span> <span class="s1">&#39;r&#39;</span><span class="p">)</span> <span class="c1"># air temperature</span>
+    <span class="n">skewt_plots</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="n">Td</span><span class="p">,</span> <span class="s1">&#39;b&#39;</span><span class="p">)</span> <span class="c1"># dew point</span>
+    <span class="n">skewt_plots</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">plot_barbs</span><span class="p">(</span><span class="n">p</span><span class="p">[::</span><span class="mi">5</span><span class="p">],</span> <span class="n">u</span><span class="p">[::</span><span class="mi">5</span><span class="p">],</span> <span class="n">v</span><span class="p">[::</span><span class="mi">5</span><span class="p">],</span> <span class="n">length</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
+    <span class="n">skewt_plots</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">plot_dry_adiabats</span><span class="p">(</span><span class="n">linewidth</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
+    <span class="n">skewt_plots</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">plot_moist_adiabats</span><span class="p">(</span><span class="n">linewidth</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
+    <span class="n">skewt_plots</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">plot_mixing_lines</span><span class="p">(</span><span class="n">linewidth</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
+    <span class="n">skewt_plots</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">&#39;&#39;</span><span class="p">)</span>
+    <span class="n">skewt_plots</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">ax</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">&#39;&#39;</span><span class="p">)</span>
+
+<span class="c1"># calculate LCL and parcel profile</span>
+<span class="n">lcl_p</span><span class="p">,</span> <span class="n">lcl_t</span> <span class="o">=</span> <span class="n">mpcalc</span><span class="o">.</span><span class="n">lcl</span><span class="p">(</span><span class="n">p</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">*</span><span class="n">units</span><span class="o">.</span><span class="n">hPa</span><span class="p">,</span> <span class="n">T</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">*</span><span class="n">units</span><span class="o">.</span><span class="n">degC</span><span class="p">,</span> <span class="n">Td</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">*</span><span class="n">units</span><span class="o">.</span><span class="n">degC</span><span class="p">)</span>
+<span class="n">lcl_prof</span> <span class="o">=</span> <span class="n">mpcalc</span><span class="o">.</span><span class="n">parcel_profile</span><span class="p">(</span><span class="n">p</span><span class="o">*</span><span class="n">units</span><span class="o">.</span><span class="n">hPa</span><span class="p">,</span> <span class="n">T</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">*</span><span class="n">units</span><span class="o">.</span><span class="n">degC</span><span class="p">,</span> <span class="n">Td</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">*</span><span class="n">units</span><span class="o">.</span><span class="n">degC</span><span class="p">)</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;degC&#39;</span><span class="p">)</span>
+
+
+<span class="c1"># LCL and parcel profile skew-T</span>
+<span class="n">skewt_plots</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">&#39;LCL and Parcel Profile&#39;</span><span class="p">)</span>
+<span class="n">skewt_plots</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="n">lcl_prof</span><span class="p">,</span> <span class="s1">&#39;k&#39;</span><span class="p">)</span>
+<span class="n">skewt_plots</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">lcl_p</span><span class="p">,</span> <span class="n">lcl_t</span><span class="p">,</span> <span class="s1">&#39;ko&#39;</span><span class="p">)</span>
+
+
+<span class="c1"># add constant temperature line at t=0</span>
+<span class="n">skewt_plots</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">&#39;Constant T Line at 0$^\circ$C&#39;</span><span class="p">)</span>
+<span class="n">skewt_plots</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">ax</span><span class="o">.</span><span class="n">axvline</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;k&#39;</span><span class="p">,</span> <span class="n">ls</span><span class="o">=</span><span class="s1">&#39;--&#39;</span><span class="p">)</span>
+
+
+<span class="c1"># shade CAPE and CIN</span>
+<span class="n">skewt_plots</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">&#39;Shade CAPE and CIN&#39;</span><span class="p">)</span>
+<span class="n">skewt_plots</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="n">lcl_prof</span><span class="p">,</span> <span class="s1">&#39;k&#39;</span><span class="p">)</span>
+<span class="n">skewt_plots</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">shade_cin</span><span class="p">(</span><span class="n">p</span><span class="o">*</span><span class="n">units</span><span class="o">.</span><span class="n">hPa</span><span class="p">,</span> <span class="n">T</span><span class="o">*</span><span class="n">units</span><span class="o">.</span><span class="n">degC</span><span class="p">,</span> <span class="n">lcl_prof</span><span class="p">,</span> <span class="n">Td</span><span class="o">*</span><span class="n">units</span><span class="o">.</span><span class="n">degC</span><span class="p">)</span>
+<span class="n">skewt_plots</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">shade_cape</span><span class="p">(</span><span class="n">p</span><span class="o">*</span><span class="n">units</span><span class="o">.</span><span class="n">hPa</span><span class="p">,</span> <span class="n">T</span><span class="o">*</span><span class="n">units</span><span class="o">.</span><span class="n">degC</span><span class="p">,</span> <span class="n">lcl_prof</span><span class="p">)</span>
+
+
+<span class="c1"># Hodograph</span>
+<span class="n">skewt_plots</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span><span class="o">.</span><span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">&#39;Hodograph&#39;</span><span class="p">)</span>
+<span class="n">ax_hod</span> <span class="o">=</span> <span class="n">inset_axes</span><span class="p">(</span><span class="n">skewt_plots</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span><span class="o">.</span><span class="n">ax</span><span class="p">,</span> <span class="s1">&#39;30%&#39;</span><span class="p">,</span> <span class="s1">&#39;30%&#39;</span><span class="p">)</span>
+<span class="n">hod</span> <span class="o">=</span> <span class="n">Hodograph</span><span class="p">(</span><span class="n">ax_hod</span><span class="p">,</span> <span class="n">component_range</span><span class="o">=</span><span class="mi">50</span><span class="p">)</span>
+<span class="n">hod</span><span class="o">.</span><span class="n">add_grid</span><span class="p">(</span><span class="n">increment</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
+<span class="n">hod</span><span class="o">.</span><span class="n">plot_colormapped</span><span class="p">(</span><span class="n">u</span><span class="p">,</span> <span class="n">v</span><span class="p">,</span> <span class="n">h</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.LineCollection at 0x7f2ee401b690&gt;
+</pre></div>
+</div>
+<img alt="../_images/689e19e6e0e54e549667bcd9456645dfe011911c5ea53e8661ff05ac56f27cf3.png" src="../_images/689e19e6e0e54e549667bcd9456645dfe011911c5ea53e8661ff05ac56f27cf3.png" />
+</div>
+</div>
+</div>
+<div class="section" id="summary">
+<h2>Summary<a class="headerlink" href="#summary" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>Skew-T plots are a useful tool for visualizing and understanding sounding data. Creating Skew-T plots in python might seem challenging given their unique structural characteristics, but <code class="docutils literal notranslate"><span class="pre">MetPy</span></code>’s <code class="docutils literal notranslate"><span class="pre">SkewT</span></code> module greatly simplifies the process.</p>
+<div class="section" id="whats-next">
+<h3>What’s next?<a class="headerlink" href="#whats-next" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Next up let’s discuss <a class="reference internal" href="6-spaghetti.html"><span class="doc std std-doc">spaghetti plots</span></a>.</p>
+</div>
+</div>
+<div class="section" id="resources-and-references">
+<h2>Resources and references<a class="headerlink" href="#resources-and-references" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<ul class="simple">
+<li><p><a class="reference external" href="https://weather.uwyo.edu/upperair/">Wyoming Upper Air</a></p></li>
+<li><p><a class="reference external" href="https://unidata.github.io/siphon/latest/examples/upperair/Wyoming_Request.html">Siphon</a></p></li>
+<li><p><a class="reference external" href="https://unidata.github.io/MetPy/latest/api/generated/metpy.plots.SkewT.html">MetPy’s SkewT documentation</a></p></li>
+<li><p><a class="reference external" href="https://www.noaa.gov/jetstream">NOAA’s JetStream</a>’s <a class="reference external" href="https://www.noaa.gov/jetstream/upperair/skew-t-plots">Skew-T Plot</a> page</p></li>
+</ul>
+</div>
+</div>
+
+    <script type="text/x-thebe-config">
+    {
+        requestKernel: true,
+        binderOptions: {
+            repo: "binder-examples/jupyter-stacks-datascience",
+            ref: "master",
+        },
+        codeMirrorConfig: {
+            theme: "abcdef",
+            mode: "python"
+        },
+        kernelOptions: {
+            name: "python3",
+            path: "./notebooks"
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+   Skew T Diagrams
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+ </span>
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+                <i class="fas fa-list"></i> On this page
+            </div>
+            <nav id="bd-toc-nav" aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#overview">
+   Overview
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#prerequisites">
+   Prerequisites
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#spaghetti-hurricane-plot">
+   Spaghetti Hurricane Plot
+  </a>
+  <ul class="nav section-nav flex-column">
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#read-in-data">
+     Read in Data
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#spaghetti-plot-of-one-esemble-member">
+     Spaghetti Plot of One Esemble Member
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#spaghetti-plot-of-one-esemble-member-with-temporal-colormapping">
+     Spaghetti Plot of One Esemble Member with Temporal Colormapping
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#spaghetti-plot-of-all-esemble-members-at-one-point-in-time">
+     Spaghetti Plot of All Esemble Members at One Point in Time
+    </a>
+   </li>
+  </ul>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#spaghetti-contour-plot">
+   Spaghetti Contour Plot
+  </a>
+  <ul class="nav section-nav flex-column">
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#id1">
+     Read in data:
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#initial-spaghetti-plot-on-north-polar-stereographic-projection">
+     Initial Spaghetti Plot on North Polar Stereographic Projection
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#adding-directional-labels-to-polar-stereographic-projection">
+     Adding Directional Labels to Polar Stereographic Projection
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#contour-spaghetti-plot-temporal-colorbar-manipulation">
+     Contour Spaghetti Plot Temporal Colorbar Manipulation
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#contour-spaghetti-plot-with-hand-picked-colors">
+     Contour Spaghetti Plot with Hand-Picked Colors
+    </a>
+   </li>
+  </ul>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#summary">
+   Summary
+  </a>
+  <ul class="nav section-nav flex-column">
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#whats-next">
+     What’s next?
+    </a>
+   </li>
+  </ul>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#resources-and-references">
+   Resources and references
+  </a>
+ </li>
+</ul>
+
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+        </div>
+    </div>
+</div>
+          <div id="main-content" class="row">
+            <div class="col-12 col-md-9 pl-md-3 pr-md-0">
+              
+              <div>
+                
+  <div class="tex2jax_ignore mathjax_ignore section" id="spaghetti-plots">
+<h1>Spaghetti Plots<a class="headerlink" href="#spaghetti-plots" title="Permalink to this headline"><i class="fas fa-link"></i></a></h1>
+<div class="section" id="overview">
+<h2>Overview<a class="headerlink" href="#overview" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>Spaghetti Plots are a tool typically used to visualize movement. Essentially they are many line plots displayed on the same axes. By drawing the same path at different times or from different forecasts, we can see the patterns and chaos associated with the plotted variable.</p>
+<ol class="arabic simple">
+<li><p>Spaghetti Hurricane Plot</p></li>
+<li><p>Spaghetti Contour Plot</p></li>
+</ol>
+</div>
+<div class="section" id="prerequisites">
+<h2>Prerequisites<a class="headerlink" href="#prerequisites" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<table class="colwidths-auto table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Concepts</p></th>
+<th class="head"><p>Importance</p></th>
+<th class="head"><p>Notes</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p><a class="reference external" href="https://foundations.projectpythia.org/core/matplotlib.html">Matplotlib</a></p></td>
+<td><p>Necessary</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference external" href="https://foundations.projectpythia.org/core/cartopy.html">Cartopy</a></p></td>
+<td><p>Necessary</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+<ul class="simple">
+<li><p><strong>Time to learn</strong>: 10 minutes</p></li>
+</ul>
+<hr class="docutils" />
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">xarray</span> <span class="k">as</span> <span class="nn">xr</span>
+<span class="kn">import</span> <span class="nn">datetime</span>
+
+<span class="kn">import</span> <span class="nn">matplotlib</span> <span class="k">as</span> <span class="nn">mpl</span>
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="kn">import</span> <span class="nn">matplotlib.ticker</span> <span class="k">as</span> <span class="nn">mticker</span>
+<span class="kn">import</span> <span class="nn">matplotlib.pylab</span> <span class="k">as</span> <span class="nn">pl</span>
+
+<span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<span class="kn">import</span> <span class="nn">cartopy.feature</span> <span class="k">as</span> <span class="nn">cfeature</span>
+
+<span class="kn">import</span> <span class="nn">geocat.viz</span> <span class="k">as</span> <span class="nn">gv</span>
+<span class="kn">import</span> <span class="nn">geocat.datafiles</span> <span class="k">as</span> <span class="nn">gdf</span>
+
+<span class="kn">import</span> <span class="nn">tropycal.tracks</span> <span class="k">as</span> <span class="nn">tracks</span>
+
+<span class="kn">import</span> <span class="nn">warnings</span>
+<span class="n">warnings</span><span class="o">.</span><span class="n">filterwarnings</span><span class="p">(</span><span class="s1">&#39;ignore&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="section" id="spaghetti-hurricane-plot">
+<h2>Spaghetti Hurricane Plot<a class="headerlink" href="#spaghetti-hurricane-plot" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>Visualizing the predicted path of an incoming hurricane is both complicated and important. There are many plots that meteorologists are trained to read, but when shared with the public can be confusing or alarming. There are strengths and weaknesses to each hurricane visualization approach. The cone of uncertainty, for example, is often misinterpreted to suggest the hurricane growth in time rather than widening of path possibilities. Spaghetti plots on the other hand, clearly show hurricane paths but show them as equal to each other.</p>
+<p>In this example we will plot some forecasted paths from the 2012 North-Atlantic storm Hurricane Sandy. Each forecast is from the Global Ensemble Forecast System (GEFS) provided by the National Centers for Environmental Prediction at NOAA.</p>
+<p>We’ll use the package <span class="xref myst"><code class="docutils literal notranslate"><span class="pre">tropycal</span></code></span> to easily access HURDAT2 and IBTrACS reanalysis data and operational National Hurricane Center (NHC) Best Track data. <code class="docutils literal notranslate"><span class="pre">tropycal</span></code> has a lot of great features for real time hurricane visualization, but since this Cookbook is comparatively static we’re using a past hurricane and only using this package to access the data. Our plotting will be done with <code class="docutils literal notranslate"><span class="pre">matplotlib</span></code> and <code class="docutils literal notranslate"><span class="pre">cartopy</span></code>.</p>
+<div class="section" id="read-in-data">
+<h3>Read in Data<a class="headerlink" href="#read-in-data" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>First, to grab our hurricane data from tropycal we need to specify a basin:</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">basin</span> <span class="o">=</span> <span class="n">tracks</span><span class="o">.</span><span class="n">TrackDataset</span><span class="p">(</span><span class="n">basin</span><span class="o">=</span><span class="s1">&#39;north_atlantic&#39;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>--&gt; Starting to read in HURDAT2 data
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>--&gt; Completed reading in HURDAT2 data (1.41 seconds)
+</pre></div>
+</div>
+</div>
+</div>
+<p>Find your storm by name and year:</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">storm</span> <span class="o">=</span> <span class="n">basin</span><span class="o">.</span><span class="n">get_storm</span><span class="p">((</span><span class="s1">&#39;sandy&#39;</span><span class="p">,</span><span class="mi">2012</span><span class="p">))</span>
+
+<span class="n">sandy_ds</span> <span class="o">=</span> <span class="n">storm</span><span class="o">.</span><span class="n">to_xarray</span><span class="p">()</span>
+<span class="n">sandy_ds</span>
+</pre></div>
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+</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;
+Dimensions:    (time: 45)
+Coordinates:
+  * time       (time) datetime64[ns] 2012-10-21T18:00:00 ... 2012-10-31T12:00:00
+Data variables:
+    extra_obs  (time) int64 0 0 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 1 1 0 0 0 0 0 0 0
+    special    (time) &lt;U1 &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; ... &#x27;L&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27;
+    type       (time) &lt;U2 &#x27;LO&#x27; &#x27;LO&#x27; &#x27;LO&#x27; &#x27;TD&#x27; &#x27;TS&#x27; ... &#x27;EX&#x27; &#x27;EX&#x27; &#x27;EX&#x27; &#x27;EX&#x27; &#x27;EX&#x27;
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+    lon        (time) float64 -77.4 -77.8 -78.2 -78.6 ... -79.8 -80.3 -80.7
+    vmax       (time) int64 25 25 25 30 35 40 40 40 ... 70 70 55 50 40 35 35 30
+    mslp       (time) int64 1006 1005 1003 1002 1000 998 ... 978 986 992 993 995
+    wmo_basin  (time) &lt;U14 &#x27;north_atlantic&#x27; ... &#x27;north_atlantic&#x27;
+Attributes:
+    id:              AL182012
+    operational_id:  AL182012
+    name:            SANDY
+    year:            2012
+    season:          2012
+    basin:           north_atlantic
+    source_info:     NHC Hurricane Database
+    source:          hurdat
+    ace:             13.6675</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-63408bc7-8522-4e18-bc1a-e58d2d0fb799' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-63408bc7-8522-4e18-bc1a-e58d2d0fb799' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 45</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f6815cd4-ff3f-4636-9869-f6098d7148bb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f6815cd4-ff3f-4636-9869-f6098d7148bb' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2012-10-21T18:00:00 ... 2012-10-...</div><input id='attrs-6145bc16-1837-4fcd-aab4-521c4b349879' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6145bc16-1837-4fcd-aab4-521c4b349879' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2eef33ab-cfcb-45a2-90c8-bc5198de17d0' class='xr-var-data-in' type='checkbox'><label for='data-2eef33ab-cfcb-45a2-90c8-bc5198de17d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2012-10-21T18:00:00.000000000&#x27;, &#x27;2012-10-22T00:00:00.000000000&#x27;,
+       &#x27;2012-10-22T06:00:00.000000000&#x27;, &#x27;2012-10-22T12:00:00.000000000&#x27;,
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+       &#x27;2012-10-23T18:00:00.000000000&#x27;, &#x27;2012-10-24T00:00:00.000000000&#x27;,
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+       &#x27;2012-10-24T18:00:00.000000000&#x27;, &#x27;2012-10-24T19:00:00.000000000&#x27;,
+       &#x27;2012-10-25T00:00:00.000000000&#x27;, &#x27;2012-10-25T05:25:00.000000000&#x27;,
+       &#x27;2012-10-25T06:00:00.000000000&#x27;, &#x27;2012-10-25T09:00:00.000000000&#x27;,
+       &#x27;2012-10-25T12:00:00.000000000&#x27;, &#x27;2012-10-25T18:00:00.000000000&#x27;,
+       &#x27;2012-10-26T00:00:00.000000000&#x27;, &#x27;2012-10-26T06:00:00.000000000&#x27;,
+       &#x27;2012-10-26T12:00:00.000000000&#x27;, &#x27;2012-10-26T18:00:00.000000000&#x27;,
+       &#x27;2012-10-27T00:00:00.000000000&#x27;, &#x27;2012-10-27T06:00:00.000000000&#x27;,
+       &#x27;2012-10-27T12:00:00.000000000&#x27;, &#x27;2012-10-27T18:00:00.000000000&#x27;,
+       &#x27;2012-10-28T00:00:00.000000000&#x27;, &#x27;2012-10-28T06:00:00.000000000&#x27;,
+       &#x27;2012-10-28T12:00:00.000000000&#x27;, &#x27;2012-10-28T18:00:00.000000000&#x27;,
+       &#x27;2012-10-29T00:00:00.000000000&#x27;, &#x27;2012-10-29T06:00:00.000000000&#x27;,
+       &#x27;2012-10-29T12:00:00.000000000&#x27;, &#x27;2012-10-29T18:00:00.000000000&#x27;,
+       &#x27;2012-10-29T21:00:00.000000000&#x27;, &#x27;2012-10-29T23:30:00.000000000&#x27;,
+       &#x27;2012-10-30T00:00:00.000000000&#x27;, &#x27;2012-10-30T06:00:00.000000000&#x27;,
+       &#x27;2012-10-30T12:00:00.000000000&#x27;, &#x27;2012-10-30T18:00:00.000000000&#x27;,
+       &#x27;2012-10-31T00:00:00.000000000&#x27;, &#x27;2012-10-31T06:00:00.000000000&#x27;,
+       &#x27;2012-10-31T12:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3d588456-6202-4d47-8b5d-f1c6ac0c2dea' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3d588456-6202-4d47-8b5d-f1c6ac0c2dea' class='xr-section-summary' >Data variables: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>extra_obs</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 1 0 0 0 0 0 0 0</div><input id='attrs-1b2964b1-c61d-4d0b-8389-ca508ee71320' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1b2964b1-c61d-4d0b-8389-ca508ee71320' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3188845-74ed-4fe6-bc1b-023e75ecfd8e' class='xr-var-data-in' type='checkbox'><label for='data-b3188845-74ed-4fe6-bc1b-023e75ecfd8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0,
+       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0,
+       0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>special</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; ... &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27; &#x27;&#x27;</div><input id='attrs-87eb6bd7-af25-4458-9958-4a078a620186' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-87eb6bd7-af25-4458-9958-4a078a620186' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8df888e6-3c69-43f4-b962-37f14629ed58' class='xr-var-data-in' type='checkbox'><label for='data-8df888e6-3c69-43f4-b962-37f14629ed58' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;L&#x27;, &#x27;&#x27;, &#x27;L&#x27;,
+       &#x27;&#x27;, &#x27;T&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;,
+       &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;S&#x27;, &#x27;L&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>type</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;LO&#x27; &#x27;LO&#x27; &#x27;LO&#x27; ... &#x27;EX&#x27; &#x27;EX&#x27; &#x27;EX&#x27;</div><input id='attrs-6d71c0a0-1ce0-4014-9f7e-8fb93c133453' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6d71c0a0-1ce0-4014-9f7e-8fb93c133453' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-443a67ec-acb4-451d-891b-9669666ecde2' class='xr-var-data-in' type='checkbox'><label for='data-443a67ec-acb4-451d-891b-9669666ecde2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;LO&#x27;, &#x27;LO&#x27;, &#x27;LO&#x27;, &#x27;TD&#x27;, &#x27;TS&#x27;, &#x27;TS&#x27;, &#x27;TS&#x27;, &#x27;TS&#x27;, &#x27;TS&#x27;, &#x27;TS&#x27;, &#x27;TS&#x27;,
+       &#x27;HU&#x27;, &#x27;HU&#x27;, &#x27;HU&#x27;, &#x27;HU&#x27;, &#x27;HU&#x27;, &#x27;HU&#x27;, &#x27;HU&#x27;, &#x27;HU&#x27;, &#x27;HU&#x27;, &#x27;HU&#x27;, &#x27;HU&#x27;,
+       &#x27;HU&#x27;, &#x27;HU&#x27;, &#x27;TS&#x27;, &#x27;TS&#x27;, &#x27;HU&#x27;, &#x27;HU&#x27;, &#x27;HU&#x27;, &#x27;HU&#x27;, &#x27;HU&#x27;, &#x27;HU&#x27;, &#x27;HU&#x27;,
+       &#x27;HU&#x27;, &#x27;HU&#x27;, &#x27;HU&#x27;, &#x27;EX&#x27;, &#x27;EX&#x27;, &#x27;EX&#x27;, &#x27;EX&#x27;, &#x27;EX&#x27;, &#x27;EX&#x27;, &#x27;EX&#x27;, &#x27;EX&#x27;,
+       &#x27;EX&#x27;], dtype=&#x27;&lt;U2&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>14.3 13.9 13.5 ... 40.7 41.1 41.5</div><input id='attrs-caac5355-a1ca-4f16-9357-3cb49ae7d9b4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-caac5355-a1ca-4f16-9357-3cb49ae7d9b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b3ee5dc-3369-4741-9f13-c6325fd212bf' class='xr-var-data-in' type='checkbox'><label for='data-3b3ee5dc-3369-4741-9f13-c6325fd212bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([14.3, 13.9, 13.5, 13.1, 12.7, 12.6, 12.9, 13.4, 14. , 14.7, 15.6,
+       16.6, 17.7, 17.9, 18.9, 20. , 20.1, 20.9, 21.7, 23.3, 24.8, 25.7,
+       26.4, 27. , 27.5, 28.1, 28.8, 29.7, 30.5, 31.3, 32. , 32.8, 33.9,
+       35.3, 36.9, 38.3, 38.8, 39.4, 39.5, 39.9, 40.1, 40.4, 40.7, 41.1,
+       41.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-77.4 -77.8 -78.2 ... -80.3 -80.7</div><input id='attrs-a517fa82-9c4b-4df3-9eab-602efad9ab73' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a517fa82-9c4b-4df3-9eab-602efad9ab73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f9b24a2-b5cd-4121-956a-666d357d39b6' class='xr-var-data-in' type='checkbox'><label for='data-3f9b24a2-b5cd-4121-956a-666d357d39b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-77.4, -77.8, -78.2, -78.6, -78.7, -78.4, -78.1, -77.9, -77.6,
+       -77.3, -77.1, -76.9, -76.7, -76.6, -76.4, -76. , -76. , -75.7,
+       -75.5, -75.3, -75.9, -76.4, -76.9, -77.2, -77.1, -76.9, -76.5,
+       -75.6, -74.7, -73.9, -73. , -72. , -71. , -70.5, -71. , -73.2,
+       -74. , -74.4, -74.5, -76.2, -77.8, -78.9, -79.8, -80.3, -80.7])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vmax</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>25 25 25 30 35 ... 50 40 35 35 30</div><input id='attrs-275c55f3-1d39-4ba1-8ae1-e461b04cdb40' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-275c55f3-1d39-4ba1-8ae1-e461b04cdb40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53aa812b-2c2d-4c87-a576-a4b49e0e1a6e' class='xr-var-data-in' type='checkbox'><label for='data-53aa812b-2c2d-4c87-a576-a4b49e0e1a6e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 25,  25,  25,  30,  35,  40,  40,  40,  45,  55,  60,  65,  75,
+        75,  85, 100, 100,  95,  95,  90,  75,  70,  65,  65,  60,  60,
+        70,  70,  65,  65,  65,  65,  70,  80,  85,  80,  75,  70,  70,
+        55,  50,  40,  35,  35,  30])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mslp</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1006 1005 1003 1002 ... 992 993 995</div><input id='attrs-6ec75b41-54dd-4167-8d8b-1a60e6d0ffd6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6ec75b41-54dd-4167-8d8b-1a60e6d0ffd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cce62c59-1b11-4104-9bdf-132497f4804a' class='xr-var-data-in' type='checkbox'><label for='data-cce62c59-1b11-4104-9bdf-132497f4804a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1006, 1005, 1003, 1002, 1000,  998,  998,  995,  993,  990,  987,
+        981,  972,  971,  964,  954,  954,  960,  966,  963,  965,  968,
+        970,  971,  969,  968,  956,  960,  960,  959,  954,  952,  950,
+        947,  945,  940,  943,  945,  946,  960,  978,  986,  992,  993,
+        995])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wmo_basin</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U14</div><div class='xr-var-preview xr-preview'>&#x27;north_atlantic&#x27; ... &#x27;north_atla...</div><input id='attrs-09aa728c-f88d-48e5-88d5-c36cd2ee74c3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-09aa728c-f88d-48e5-88d5-c36cd2ee74c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72bff209-e845-48f9-bb63-b735093eb463' class='xr-var-data-in' type='checkbox'><label for='data-72bff209-e845-48f9-bb63-b735093eb463' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;,
+       &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;,
+       &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;,
+       &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;,
+       &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;,
+       &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;,
+       &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;,
+       &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;,
+       &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;,
+       &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;,
+       &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;,
+       &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;,
+       &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;,
+       &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;,
+       &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;, &#x27;north_atlantic&#x27;], dtype=&#x27;&lt;U14&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8be84858-08eb-40ea-8e72-921689d30fee' class='xr-section-summary-in' type='checkbox'  ><label for='section-8be84858-08eb-40ea-8e72-921689d30fee' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8d9f61bc-a2e3-48bc-8983-dbfbda7bbb24' class='xr-index-data-in' type='checkbox'/><label for='index-8d9f61bc-a2e3-48bc-8983-dbfbda7bbb24' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2012-10-21 18:00:00&#x27;, &#x27;2012-10-22 00:00:00&#x27;,
+               &#x27;2012-10-22 06:00:00&#x27;, &#x27;2012-10-22 12:00:00&#x27;,
+               &#x27;2012-10-22 18:00:00&#x27;, &#x27;2012-10-23 00:00:00&#x27;,
+               &#x27;2012-10-23 06:00:00&#x27;, &#x27;2012-10-23 12:00:00&#x27;,
+               &#x27;2012-10-23 18:00:00&#x27;, &#x27;2012-10-24 00:00:00&#x27;,
+               &#x27;2012-10-24 06:00:00&#x27;, &#x27;2012-10-24 12:00:00&#x27;,
+               &#x27;2012-10-24 18:00:00&#x27;, &#x27;2012-10-24 19:00:00&#x27;,
+               &#x27;2012-10-25 00:00:00&#x27;, &#x27;2012-10-25 05:25:00&#x27;,
+               &#x27;2012-10-25 06:00:00&#x27;, &#x27;2012-10-25 09:00:00&#x27;,
+               &#x27;2012-10-25 12:00:00&#x27;, &#x27;2012-10-25 18:00:00&#x27;,
+               &#x27;2012-10-26 00:00:00&#x27;, &#x27;2012-10-26 06:00:00&#x27;,
+               &#x27;2012-10-26 12:00:00&#x27;, &#x27;2012-10-26 18:00:00&#x27;,
+               &#x27;2012-10-27 00:00:00&#x27;, &#x27;2012-10-27 06:00:00&#x27;,
+               &#x27;2012-10-27 12:00:00&#x27;, &#x27;2012-10-27 18:00:00&#x27;,
+               &#x27;2012-10-28 00:00:00&#x27;, &#x27;2012-10-28 06:00:00&#x27;,
+               &#x27;2012-10-28 12:00:00&#x27;, &#x27;2012-10-28 18:00:00&#x27;,
+               &#x27;2012-10-29 00:00:00&#x27;, &#x27;2012-10-29 06:00:00&#x27;,
+               &#x27;2012-10-29 12:00:00&#x27;, &#x27;2012-10-29 18:00:00&#x27;,
+               &#x27;2012-10-29 21:00:00&#x27;, &#x27;2012-10-29 23:30:00&#x27;,
+               &#x27;2012-10-30 00:00:00&#x27;, &#x27;2012-10-30 06:00:00&#x27;,
+               &#x27;2012-10-30 12:00:00&#x27;, &#x27;2012-10-30 18:00:00&#x27;,
+               &#x27;2012-10-31 00:00:00&#x27;, &#x27;2012-10-31 06:00:00&#x27;,
+               &#x27;2012-10-31 12:00:00&#x27;],
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-db433b04-5d8b-453e-bcc2-f63e8d871bd7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-db433b04-5d8b-453e-bcc2-f63e8d871bd7' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>id :</span></dt><dd>AL182012</dd><dt><span>operational_id :</span></dt><dd>AL182012</dd><dt><span>name :</span></dt><dd>SANDY</dd><dt><span>year :</span></dt><dd>2012</dd><dt><span>season :</span></dt><dd>2012</dd><dt><span>basin :</span></dt><dd>north_atlantic</dd><dt><span>source_info :</span></dt><dd>NHC Hurricane Database</dd><dt><span>source :</span></dt><dd>hurdat</dd><dt><span>ace :</span></dt><dd>13.6675</dd></dl></div></li></ul></div></div></div></div>
+</div>
+<p>And we can grab any of a number of forecasts:</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">forecasts</span> <span class="o">=</span> <span class="n">storm</span><span class="o">.</span><span class="n">get_operational_forecasts</span><span class="p">()</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">forecasts</span><span class="o">.</span><span class="n">keys</span><span class="p">())</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>dict_keys([&#39;CARQ&#39;, &#39;CMC&#39;, &#39;NAM&#39;, &#39;NGX&#39;, &#39;UKX&#39;, &#39;AC00&#39;, &#39;AEM2&#39;, &#39;AEMN&#39;, &#39;AP01&#39;, &#39;AP02&#39;, &#39;AP03&#39;, &#39;AP04&#39;, &#39;AP05&#39;, &#39;AP06&#39;, &#39;AP07&#39;, &#39;AP08&#39;, &#39;AP09&#39;, &#39;AP10&#39;, &#39;AP12&#39;, &#39;AP13&#39;, &#39;AP14&#39;, &#39;AP15&#39;, &#39;AP16&#39;, &#39;AP17&#39;, &#39;AP18&#39;, &#39;AP20&#39;, &#39;AVN2&#39;, &#39;AVNO&#39;, &#39;BAMD&#39;, &#39;BAMM&#39;, &#39;BAMS&#39;, &#39;CEMN&#39;, &#39;CLIP&#39;, &#39;CLP5&#39;, &#39;CMC2&#39;, &#39;COT2&#39;, &#39;COTC&#39;, &#39;DSHP&#39;, &#39;FIM9&#39;, &#39;FM92&#39;, &#39;G012&#39;, &#39;GFD2&#39;, &#39;GFDE&#39;, &#39;GFDL&#39;, &#39;GFDT&#39;, &#39;GFT2&#39;, &#39;GHM2&#39;, &#39;GP01&#39;, &#39;GPM2&#39;, &#39;GPMN&#39;, &#39;HWE2&#39;, &#39;HWF2&#39;, &#39;HWFE&#39;, &#39;HWRF&#39;, &#39;ICON&#39;, &#39;IV15&#39;, &#39;IVCN&#39;, &#39;IVCR&#39;, &#39;LBAR&#39;, &#39;LGEM&#39;, &#39;NAM2&#39;, &#39;NGX2&#39;, &#39;OFCP&#39;, &#39;OFP2&#39;, &#39;SHF5&#39;, &#39;SHFR&#39;, &#39;SHIP&#39;, &#39;TCLP&#39;, &#39;TV15&#39;, &#39;TVCA&#39;, &#39;TVCC&#39;, &#39;TVCE&#39;, &#39;TVCN&#39;, &#39;UWN2&#39;, &#39;UWN8&#39;, &#39;XTRP&#39;, &#39;ZGFS&#39;, &#39;AEMI&#39;, &#39;AP11&#39;, &#39;AP19&#39;, &#39;AVNI&#39;, &#39;CMCI&#39;, &#39;COTI&#39;, &#39;FM9I&#39;, &#39;GFDI&#39;, &#39;GFTI&#39;, &#39;GHMI&#39;, &#39;GPMI&#39;, &#39;HWFI&#39;, &#39;NAMI&#39;, &#39;NGXI&#39;, &#39;OFPI&#39;, &#39;RI25&#39;, &#39;SPC3&#39;, &#39;UKXI&#39;, &#39;DRCL&#39;, &#39;GFE2&#39;, &#39;MRCL&#39;, &#39;MRFO&#39;, &#39;UKX2&#39;, &#39;UKM&#39;, &#39;AHW4&#39;, &#39;G01I&#39;, &#39;OFCL&#39;, &#39;OCD5&#39;, &#39;BCD5&#39;, &#39;OCS5&#39;, &#39;BCS5&#39;, &#39;OFCI&#39;, &#39;UKMI&#39;, &#39;AHW2&#39;, &#39;EGRR&#39;, &#39;FSSE&#39;, &#39;RI30&#39;, &#39;RI35&#39;, &#39;RYOC&#39;, &#39;UKM2&#39;, &#39;AHWI&#39;, &#39;EGRI&#39;, &#39;TCOA&#39;, &#39;EGR2&#39;, &#39;UWNI&#39;, &#39;HWEI&#39;, &#39;APSU&#39;, &#39;APSI&#39;, &#39;APS2&#39;, &#39;OFC2&#39;])
+</pre></div>
+</div>
+</div>
+</div>
+<p>Each key represents a forecast model, we’ll select the GFS AP01 forecast which has many initializations. These initializations are named by time in YYYYMMDDHH format:</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">forecasts_AP01</span> <span class="o">=</span> <span class="n">forecasts</span><span class="p">[</span><span class="s1">&#39;AP01&#39;</span><span class="p">]</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">forecasts_AP01</span><span class="o">.</span><span class="n">keys</span><span class="p">())</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>dict_keys([&#39;2012102112&#39;, &#39;2012102118&#39;, &#39;2012102200&#39;, &#39;2012102206&#39;, &#39;2012102212&#39;, &#39;2012102218&#39;, &#39;2012102300&#39;, &#39;2012102306&#39;, &#39;2012102312&#39;, &#39;2012102318&#39;, &#39;2012102400&#39;, &#39;2012102406&#39;, &#39;2012102412&#39;, &#39;2012102418&#39;, &#39;2012102500&#39;, &#39;2012102506&#39;, &#39;2012102512&#39;, &#39;2012102518&#39;, &#39;2012102600&#39;, &#39;2012102606&#39;, &#39;2012102612&#39;, &#39;2012102618&#39;, &#39;2012102700&#39;, &#39;2012102706&#39;, &#39;2012102712&#39;, &#39;2012102718&#39;, &#39;2012102800&#39;, &#39;2012102806&#39;, &#39;2012102812&#39;, &#39;2012102818&#39;, &#39;2012102900&#39;, &#39;2012102906&#39;, &#39;2012102912&#39;, &#39;2012102918&#39;, &#39;2012103000&#39;, &#39;2012103006&#39;, &#39;2012103012&#39;, &#39;2012103018&#39;, &#39;2012103100&#39;])
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="section" id="spaghetti-plot-of-one-esemble-member">
+<h3>Spaghetti Plot of One Esemble Member<a class="headerlink" href="#spaghetti-plot-of-one-esemble-member" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Let’s set up our Cartopy grid to plot one ensemble member of the hurricane model.</p>
+<p>These steps might be familiar to you but we:</p>
+<ul class="simple">
+<li><p>create our axes with a Plate Caree projection</p></li>
+<li><p>add land features</p></li>
+<li><p>add grid lines</p></li>
+<li><p>edit our gridline labels to not duplicate on all four sides</p></li>
+<li><p>edit our gridline label fontsize</p></li>
+</ul>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Set up Cartopy Projection with land features</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">axes</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">())</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">add_feature</span><span class="p">(</span><span class="n">cfeature</span><span class="o">.</span><span class="n">LAND</span><span class="p">,</span> <span class="n">facecolor</span><span class="o">=</span><span class="s1">&#39;lightgray&#39;</span><span class="p">)</span>
+
+<span class="c1"># Add Gridlines to right and bottom</span>
+<span class="n">gl</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">gridlines</span><span class="p">(</span><span class="n">crs</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span> <span class="n">draw_labels</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                  <span class="n">linewidth</span><span class="o">=</span><span class="mf">.25</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;gray&#39;</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span> <span class="n">linestyle</span><span class="o">=</span><span class="s1">&#39;--&#39;</span><span class="p">)</span>
+<span class="n">gl</span><span class="o">.</span><span class="n">xlabels_top</span> <span class="o">=</span> <span class="kc">False</span>
+<span class="n">gl</span><span class="o">.</span><span class="n">ylabels_left</span> <span class="o">=</span> <span class="kc">False</span>
+<span class="n">gl</span><span class="o">.</span><span class="n">xlabel_style</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;size&#39;</span><span class="p">:</span> <span class="mi">8</span><span class="p">,}</span>
+<span class="n">gl</span><span class="o">.</span><span class="n">ylabel_style</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;size&#39;</span><span class="p">:</span> <span class="mi">8</span><span class="p">,}</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/8b3e79378c0a507a04fe86e1abf34d566a2b72798feadc7d315d87886274abc8.png" src="../_images/8b3e79378c0a507a04fe86e1abf34d566a2b72798feadc7d315d87886274abc8.png" />
+</div>
+</div>
+<p>Looking at GFS Ensemble Member Forecast AP01, we can make a spaghetti plot of each of these initializations.</p>
+<p>The crux of the visualization is that we loop through and plot each initialization (in <code class="docutils literal notranslate"><span class="pre">for</span> <span class="pre">i</span> <span class="pre">in</span> <span class="pre">forecasts_AP01</span></code>), plot the true hurricane path, and add a legend (<code class="docutils literal notranslate"><span class="pre">plt.legend()</span></code>).</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Set up Cartopy Projection with land features</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">axes</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">())</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">add_feature</span><span class="p">(</span><span class="n">cfeature</span><span class="o">.</span><span class="n">LAND</span><span class="p">,</span> <span class="n">facecolor</span><span class="o">=</span><span class="s1">&#39;lightgray&#39;</span><span class="p">)</span>
+
+<span class="c1"># Add Gridlines to right and bottom</span>
+<span class="n">gl</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">gridlines</span><span class="p">(</span><span class="n">crs</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span> <span class="n">draw_labels</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                  <span class="n">linewidth</span><span class="o">=</span><span class="mf">.25</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;gray&#39;</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span> <span class="n">linestyle</span><span class="o">=</span><span class="s1">&#39;--&#39;</span><span class="p">)</span>
+<span class="n">gl</span><span class="o">.</span><span class="n">xlabels_top</span> <span class="o">=</span> <span class="kc">False</span>
+<span class="n">gl</span><span class="o">.</span><span class="n">ylabels_left</span> <span class="o">=</span> <span class="kc">False</span>
+<span class="n">gl</span><span class="o">.</span><span class="n">xlabel_style</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;size&#39;</span><span class="p">:</span> <span class="mi">8</span><span class="p">,}</span>
+<span class="n">gl</span><span class="o">.</span><span class="n">ylabel_style</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;size&#39;</span><span class="p">:</span> <span class="mi">8</span><span class="p">,}</span>
+
+<span class="c1"># Spaghetti Plot of AP01 forecasts</span>
+<span class="n">forecasts_AP01</span> <span class="o">=</span> <span class="n">forecasts</span><span class="p">[</span><span class="s1">&#39;AP01&#39;</span><span class="p">]</span>
+<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">forecasts_AP01</span><span class="p">:</span>
+    <span class="c1"># We&#39;re naming this line even though it is over-written each loop,</span>
+    <span class="c1"># so that we can reference the last line in the legend</span>
+    <span class="c1"># (as they all share the same formatting)</span>
+    <span class="n">forecast_path</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">forecasts_AP01</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="s1">&#39;lon&#39;</span><span class="p">],</span>
+                            <span class="n">forecasts_AP01</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="s1">&#39;lat&#39;</span><span class="p">],</span>
+                            <span class="n">color</span><span class="o">=</span><span class="s1">&#39;cornflowerblue&#39;</span><span class="p">,</span>
+                            <span class="n">linewidth</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
+
+<span class="c1"># Plot the real storm path in a thicker black line</span>
+<span class="n">true_path</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">sandy_ds</span><span class="o">.</span><span class="n">lon</span><span class="p">,</span>
+    <span class="n">sandy_ds</span><span class="o">.</span><span class="n">lat</span><span class="p">,</span>
+    <span class="n">color</span><span class="o">=</span><span class="s1">&#39;k&#39;</span><span class="p">,</span>
+    <span class="n">linewidth</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="c1"># Make it thicker than the ensemble paths</span>
+
+<span class="c1"># Add a legend with only one forecast_path and the true_path</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="n">true_path</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">forecast_path</span><span class="p">[</span><span class="mi">0</span><span class="p">]],</span> <span class="p">[</span><span class="s1">&#39;True Path&#39;</span><span class="p">,</span> <span class="s1">&#39;GFS AP01 Forecasts&#39;</span><span class="p">])</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Hurricane Sandy (2012)&#39;</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/3be411eb0e30049c907f1360e767394c7a42f18eeb56db10b984548708b1e3b8.png" src="../_images/3be411eb0e30049c907f1360e767394c7a42f18eeb56db10b984548708b1e3b8.png" />
+</div>
+</div>
+<p>This plot is a great example of a spaghetti plot, but is it super useful? Is it confusing? Each line looks like it carries the same weight, when some of these possible paths are from hours before Sandy hit the American NorthEast and others are from days before.</p>
+<p>Maybe it is better to show the user some indication of how the forecast for this ensemble converged on the true path with later and later initialization times.</p>
+</div>
+<div class="section" id="spaghetti-plot-of-one-esemble-member-with-temporal-colormapping">
+<h3>Spaghetti Plot of One Esemble Member with Temporal Colormapping<a class="headerlink" href="#spaghetti-plot-of-one-esemble-member-with-temporal-colormapping" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Some additions to look out for:</p>
+<ul class="simple">
+<li><p>we grab the time information from the initialization name using <code class="docutils literal notranslate"><span class="pre">datetime</span></code></p></li>
+<li><p>normalize a colormap by the time information with <code class="docutils literal notranslate"><span class="pre">cmap</span> <span class="pre">=</span> <span class="pre">mpl.colors.ListedColormap(plt.cm.autumn_r(normalized_times))</span></code></p></li>
+<li><p>loop through the colormap as we loop through the time steps within the ensemble member</p></li>
+<li><p>add a colorbar  with <code class="docutils literal notranslate"><span class="pre">plt.colorbar(plt.cm.ScalarMappable(cmap=cmap))</span></code>, where <code class="docutils literal notranslate"><span class="pre">ScalarMappable</span></code> is used to map scalar data to RGBA.</p></li>
+</ul>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Set up Cartopy Projection with land features</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">axes</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">())</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">add_feature</span><span class="p">(</span><span class="n">cfeature</span><span class="o">.</span><span class="n">LAND</span><span class="p">,</span> <span class="n">facecolor</span><span class="o">=</span><span class="s1">&#39;lightgray&#39;</span><span class="p">)</span>
+
+<span class="c1"># Add Gridlines to right and bottom</span>
+<span class="n">gl</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">gridlines</span><span class="p">(</span><span class="n">crs</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span> <span class="n">draw_labels</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                  <span class="n">linewidth</span><span class="o">=</span><span class="mf">.25</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;gray&#39;</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span> <span class="n">linestyle</span><span class="o">=</span><span class="s1">&#39;--&#39;</span><span class="p">)</span>
+<span class="n">gl</span><span class="o">.</span><span class="n">xlabels_top</span> <span class="o">=</span> <span class="kc">False</span>
+<span class="n">gl</span><span class="o">.</span><span class="n">ylabels_left</span> <span class="o">=</span> <span class="kc">False</span>
+<span class="n">gl</span><span class="o">.</span><span class="n">xlabel_style</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;size&#39;</span><span class="p">:</span> <span class="mi">8</span><span class="p">,}</span>
+<span class="n">gl</span><span class="o">.</span><span class="n">ylabel_style</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;size&#39;</span><span class="p">:</span> <span class="mi">8</span><span class="p">,}</span>
+
+<span class="c1"># Spaghetti Plot of AP01 forecasts</span>
+<span class="n">forecasts_AP01</span> <span class="o">=</span> <span class="n">forecasts</span><span class="p">[</span><span class="s1">&#39;AP01&#39;</span><span class="p">]</span>
+
+<span class="c1"># Get time information from initialization name</span>
+<span class="nb">format</span> <span class="o">=</span> <span class="s1">&#39;%Y%m</span><span class="si">%d</span><span class="s1">%H&#39;</span>
+<span class="n">times</span> <span class="o">=</span> <span class="p">[</span><span class="n">datetime</span><span class="o">.</span><span class="n">datetime</span><span class="o">.</span><span class="n">strptime</span><span class="p">(</span><span class="n">i</span><span class="p">,</span> <span class="nb">format</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">list</span><span class="p">(</span><span class="n">forecasts_AP01</span><span class="o">.</span><span class="n">keys</span><span class="p">())]</span>
+<span class="n">normalized_times</span> <span class="o">=</span> <span class="p">[(</span><span class="n">i</span> <span class="o">-</span> <span class="n">times</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span> <span class="o">/</span> <span class="p">(</span><span class="n">times</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">times</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">times</span><span class="p">]</span>
+
+<span class="c1"># Create a color list for forecast iteration</span>
+<span class="n">cmap</span> <span class="o">=</span> <span class="n">mpl</span><span class="o">.</span><span class="n">colors</span><span class="o">.</span><span class="n">ListedColormap</span><span class="p">(</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">autumn_r</span><span class="p">(</span><span class="n">normalized_times</span><span class="p">))</span>
+
+<span class="n">c</span> <span class="o">=</span> <span class="mi">0</span>
+<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">forecasts_AP01</span><span class="p">:</span>
+    <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">forecasts_AP01</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="s1">&#39;lon&#39;</span><span class="p">],</span>
+        <span class="n">forecasts_AP01</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="s1">&#39;lat&#39;</span><span class="p">],</span>
+        <span class="n">color</span><span class="o">=</span><span class="n">cmap</span><span class="p">(</span><span class="n">c</span><span class="p">),</span>
+        <span class="n">linewidth</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
+    <span class="n">c</span> <span class="o">+=</span> <span class="mi">1</span>
+
+<span class="c1"># Plot the real storm path</span>
+<span class="n">true_path</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">sandy_ds</span><span class="o">.</span><span class="n">lon</span><span class="p">,</span>
+    <span class="n">sandy_ds</span><span class="o">.</span><span class="n">lat</span><span class="p">,</span>
+    <span class="n">color</span><span class="o">=</span><span class="s1">&#39;red&#39;</span><span class="p">,</span> <span class="c1"># Selecting a color matching one of the cmap extremes</span>
+    <span class="n">linewidth</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+    <span class="n">label</span><span class="o">=</span><span class="s1">&#39;True Path&#39;</span><span class="p">)</span> <span class="c1"># The easiest way to add a plot to the legend is with the label kwarg</span>
+
+<span class="c1"># Add a legend with only one the true_path</span>
+<span class="c1"># Forecasted paths will be shown in a colorbar</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Hurricane Sandy&#39;</span><span class="p">)</span>
+
+<span class="c1"># Add colorbar</span>
+<span class="n">cbar</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span><span class="p">(</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">ScalarMappable</span><span class="p">(</span><span class="n">cmap</span><span class="o">=</span><span class="n">cmap</span><span class="p">),</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span> <span class="n">orientation</span><span class="o">=</span><span class="s1">&#39;horizontal&#39;</span><span class="p">,</span> <span class="n">shrink</span><span class="o">=</span><span class="mf">0.8</span><span class="p">,</span> <span class="n">pad</span><span class="o">=</span><span class="mf">0.075</span><span class="p">)</span>
+<span class="n">cbar</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="s1">&#39;GFS AP01 Forecasts&#39;</span><span class="p">,</span> <span class="n">labelpad</span><span class="o">=</span><span class="mi">6</span><span class="p">)</span>
+
+<span class="c1"># Set tick locations and labels for every 4th tick</span>
+<span class="c1"># i.e. once a day (a new initialiation every 6 hours)</span>
+<span class="n">tick_indices</span> <span class="o">=</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">times</span><span class="p">),</span> <span class="mi">4</span><span class="p">)</span>
+<span class="n">cbar</span><span class="o">.</span><span class="n">set_ticks</span><span class="p">([</span><span class="n">normalized_times</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">tick_indices</span><span class="p">])</span>
+<span class="n">cbar</span><span class="o">.</span><span class="n">set_ticklabels</span><span class="p">([</span><span class="n">times</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">%d</span><span class="s1">&#39;</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">tick_indices</span><span class="p">],</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">8</span><span class="p">)</span>
+<span class="n">cbar</span><span class="o">.</span><span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">1.02</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="s1">&#39;OCT-2012&#39;</span><span class="p">,</span> <span class="n">va</span><span class="o">=</span><span class="s1">&#39;top&#39;</span><span class="p">,</span> <span class="n">ha</span><span class="o">=</span><span class="s1">&#39;left&#39;</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">cbar</span><span class="o">.</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/2b3ba019b84f8a6b0a8f0ce344fce302772cdd39b2f348d4b1cb7fef633591a6.png" src="../_images/2b3ba019b84f8a6b0a8f0ce344fce302772cdd39b2f348d4b1cb7fef633591a6.png" />
+</div>
+</div>
+<p>Now we can see that as the storm progressed, the AP01 GFS Forecast Ensemble Member converges on Sandy’s true path as the storm progresses through October, 2012.</p>
+<p>Alternatively, we may want to plot the possible hurricane paths from multiple GFS Forecast Ensemble members from the same iteration timestamp as a spaghetti plot.</p>
+</div>
+<div class="section" id="spaghetti-plot-of-all-esemble-members-at-one-point-in-time">
+<h3>Spaghetti Plot of All Esemble Members at One Point in Time<a class="headerlink" href="#spaghetti-plot-of-all-esemble-members-at-one-point-in-time" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>First, we need to grab all of the relevant forecast keys to GFS models (the ones that are titled <code class="docutils literal notranslate"><span class="pre">AP##</span></code> from 0 to 20):</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># List of valid AP## keys from 0 to 20</span>
+<span class="n">GFS_keys</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;AP&#39;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">i</span><span class="p">)</span><span class="o">.</span><span class="n">zfill</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">21</span><span class="p">)]</span>
+
+<span class="c1"># Arbitrarily selected midnight on October 27, 2012 to plot all forecasts at</span>
+<span class="n">time</span> <span class="o">=</span> <span class="s1">&#39;2012102700&#39;</span>
+
+<span class="c1"># Set up Cartopy Projection with land features</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">axes</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">())</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">add_feature</span><span class="p">(</span><span class="n">cfeature</span><span class="o">.</span><span class="n">LAND</span><span class="p">,</span> <span class="n">facecolor</span><span class="o">=</span><span class="s1">&#39;lightgray&#39;</span><span class="p">)</span>
+
+<span class="c1"># Add Gridlines to right and bottom</span>
+<span class="n">gl</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">gridlines</span><span class="p">(</span><span class="n">crs</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span> <span class="n">draw_labels</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                  <span class="n">linewidth</span><span class="o">=</span><span class="mf">.25</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;gray&#39;</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span> <span class="n">linestyle</span><span class="o">=</span><span class="s1">&#39;--&#39;</span><span class="p">)</span>
+<span class="n">gl</span><span class="o">.</span><span class="n">xlabels_top</span> <span class="o">=</span> <span class="kc">False</span>
+<span class="n">gl</span><span class="o">.</span><span class="n">ylabels_left</span> <span class="o">=</span> <span class="kc">False</span>
+<span class="n">gl</span><span class="o">.</span><span class="n">xlabel_style</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;size&#39;</span><span class="p">:</span> <span class="mi">8</span><span class="p">,}</span>
+<span class="n">gl</span><span class="o">.</span><span class="n">ylabel_style</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;size&#39;</span><span class="p">:</span> <span class="mi">8</span><span class="p">,}</span>
+
+<span class="c1"># Spaghetti Plot of forecasts</span>
+<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">20</span><span class="p">):</span>
+    <span class="n">ap</span> <span class="o">=</span> <span class="n">forecasts</span><span class="p">[</span><span class="n">GFS_keys</span><span class="p">[</span><span class="n">i</span><span class="p">]]</span>
+    <span class="n">forecast_path</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ap</span><span class="p">[</span><span class="n">time</span><span class="p">][</span><span class="s1">&#39;lon&#39;</span><span class="p">],</span>
+        <span class="n">ap</span><span class="p">[</span><span class="n">time</span><span class="p">][</span><span class="s1">&#39;lat&#39;</span><span class="p">],</span>
+        <span class="n">color</span><span class="o">=</span><span class="s1">&#39;cornflowerblue&#39;</span><span class="p">,</span>
+        <span class="n">linewidth</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
+
+<span class="c1"># Plot the real storm path in a thicker black line</span>
+<span class="n">true_path</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">sandy_ds</span><span class="o">.</span><span class="n">lon</span><span class="p">,</span> <span class="n">sandy_ds</span><span class="o">.</span><span class="n">lat</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;k&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+
+<span class="c1"># Add a legend with only one forecast_path and the true_path</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="n">true_path</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">forecast_path</span><span class="p">[</span><span class="mi">0</span><span class="p">]],</span>
+    <span class="p">[</span><span class="s1">&#39;True Path&#39;</span><span class="p">,</span> <span class="s1">&#39;AP01 - AP20&#39;</span><span class="p">],</span>
+    <span class="n">loc</span><span class="o">=</span><span class="s1">&#39;lower right&#39;</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Hurricane Sandy - GFS Forecasts from Oct-27-2012&#39;</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/164b205d286b56b0677edf632c40f27f1fb5dd7b226b999a0b22f68887cc6703.png" src="../_images/164b205d286b56b0677edf632c40f27f1fb5dd7b226b999a0b22f68887cc6703.png" />
+</div>
+</div>
+<p>Hurricane Sandy hit the NorthEast on October 29, 2012. From this spaghetti plot we can see that by the 27th most ensemble members of the GFS forecast predicted a similar behavior for the storm.</p>
+<p>There is more analysis that could be done on hurriane trajectories. We have covered some plotting customization that might be useful for your analysis and data visualization.</p>
+</div>
+</div>
+<div class="section" id="spaghetti-contour-plot">
+<h2>Spaghetti Contour Plot<a class="headerlink" href="#spaghetti-contour-plot" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>In this example we will read in the geopotential height datafile <code class="docutils literal notranslate"><span class="pre">HGT500_MON_1958-1997.nc</span></code> from using geocat-datafiles. Then we will look at different timesteps of the <code class="docutils literal notranslate"><span class="pre">HGT</span></code> geopotential height variable at the 5500 gpm level, plotting this contour’s locations through time. This example is adapted from <a class="reference external" href="https://geocat.ucar.edu/">GeoCAT</a>’s <a class="reference external" href="https://geocat-examples.readthedocs.io/en/latest/gallery/Contours/NCL_conOncon_5.html">NCL_conOncon_5</a> script.</p>
+<div class="section" id="id1">
+<h3>Read in data:<a class="headerlink" href="#id1" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">ds</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">open_dataset</span><span class="p">(</span><span class="n">gdf</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;netcdf_files/HGT500_MON_1958-1997.nc&quot;</span><span class="p">),</span>
+                     <span class="n">decode_times</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+
+<span class="n">ds</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Downloading file &#39;netcdf_files/HGT500_MON_1958-1997.nc&#39; from &#39;https://github.com/NCAR/GeoCAT-datafiles/raw/main/netcdf_files/HGT500_MON_1958-1997.nc&#39; to &#39;/home/runner/.cache/geocat&#39;.
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+  background-color: var(--xr-background-color) !important;
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+}
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+  grid-column: 2;
+  white-space: pre-wrap;
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+.xr-no-icon {
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+  height: 1.5em !important;
+  stroke-width: 0;
+  stroke: currentColor;
+  fill: currentColor;
+}
+</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;
+Dimensions:  (time: 480, lat: 73, lon: 144)
+Coordinates:
+  * time     (time) int64 0 1 2 3 4 5 6 7 8 ... 472 473 474 475 476 477 478 479
+  * lat      (lat) float32 -90.0 -87.5 -85.0 -82.5 -80.0 ... 82.5 85.0 87.5 90.0
+  * lon      (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5
+Data variables:
+    yrmon    (time) float64 ...
+    HGT      (time, lat, lon) float32 ...
+Attributes:
+    conventions:    None
+    history:        NCEP/NCAR REANALYSIS MONTHLY MEAN SUBSETS\nftp://ncardata...
+    source:         NCEP Reanalysis; ds090.2
+    title:          500mb Geopotential Height: 1958-1997
+    source_mss:     /SHEA/HVL/HGT_1958-1997.nc:  500 mb extracted
+    creation_date:  creation date: Tue Aug  7 16:31:48 MDT 2001</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5cd64fe3-c0f7-4a72-b50e-f14ce9468d8c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5cd64fe3-c0f7-4a72-b50e-f14ce9468d8c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 480</li><li><span class='xr-has-index'>lat</span>: 73</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4922c1cc-7d31-472b-847b-26187274c44f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4922c1cc-7d31-472b-847b-26187274c44f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 475 476 477 478 479</div><input id='attrs-5e9bcf2a-f7b7-48f5-8576-93e9c1ad5968' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e9bcf2a-f7b7-48f5-8576-93e9c1ad5968' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b93b2b23-df72-488f-9d76-18ff135ca4b7' class='xr-var-data-in' type='checkbox'><label for='data-b93b2b23-df72-488f-9d76-18ff135ca4b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>elapsed time</dd><dt><span>units :</span></dt><dd>months since 1958-1-1 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 477, 478, 479])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -87.5 -85.0 ... 87.5 90.0</div><input id='attrs-fbb06668-3d60-43b8-b9ce-1d2c1ae9f18b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbb06668-3d60-43b8-b9ce-1d2c1ae9f18b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e992693b-bdb5-453b-91f2-24a452b9bbfb' class='xr-var-data-in' type='checkbox'><label for='data-e992693b-bdb5-453b-91f2-24a452b9bbfb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>short_name :</span></dt><dd>lat</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-90. , -87.5, -85. , -82.5, -80. , -77.5, -75. , -72.5, -70. , -67.5,
+       -65. , -62.5, -60. , -57.5, -55. , -52.5, -50. , -47.5, -45. , -42.5,
+       -40. , -37.5, -35. , -32.5, -30. , -27.5, -25. , -22.5, -20. , -17.5,
+       -15. , -12.5, -10. ,  -7.5,  -5. ,  -2.5,   0. ,   2.5,   5. ,   7.5,
+        10. ,  12.5,  15. ,  17.5,  20. ,  22.5,  25. ,  27.5,  30. ,  32.5,
+        35. ,  37.5,  40. ,  42.5,  45. ,  47.5,  50. ,  52.5,  55. ,  57.5,
+        60. ,  62.5,  65. ,  67.5,  70. ,  72.5,  75. ,  77.5,  80. ,  82.5,
+        85. ,  87.5,  90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.5 5.0 ... 352.5 355.0 357.5</div><input id='attrs-4827bf9a-7ee0-48d3-8c96-b0f5b2c442a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4827bf9a-7ee0-48d3-8c96-b0f5b2c442a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe900a4f-3bd2-4f4e-8423-406f7cfe6d3e' class='xr-var-data-in' type='checkbox'><label for='data-fe900a4f-3bd2-4f4e-8423-406f7cfe6d3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>short_name :</span></dt><dd>lon</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   2.5,   5. ,   7.5,  10. ,  12.5,  15. ,  17.5,  20. ,  22.5,
+        25. ,  27.5,  30. ,  32.5,  35. ,  37.5,  40. ,  42.5,  45. ,  47.5,
+        50. ,  52.5,  55. ,  57.5,  60. ,  62.5,  65. ,  67.5,  70. ,  72.5,
+        75. ,  77.5,  80. ,  82.5,  85. ,  87.5,  90. ,  92.5,  95. ,  97.5,
+       100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5,
+       125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5,
+       150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5,
+       175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5,
+       200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
+       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
+       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
+       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
+       325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5,
+       350. , 352.5, 355. , 357.5], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b4977a47-29d3-4da6-b811-d0bdc3578c62' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b4977a47-29d3-4da6-b811-d0bdc3578c62' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>yrmon</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3d276b1b-1997-47ac-ab05-c0edf76c241a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d276b1b-1997-47ac-ab05-c0edf76c241a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-517d06ef-04b3-4f22-b1b0-f2757a673974' class='xr-var-data-in' type='checkbox'><label for='data-517d06ef-04b3-4f22-b1b0-f2757a673974' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>short_name :</span></dt><dd>YYYYMM</dd><dt><span>long_name :</span></dt><dd>Year-Month</dd><dt><span>units :</span></dt><dd>current date as 6 digit integer (YYYYMM)</dd></dl></div><div class='xr-var-data'><pre>[480 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HGT</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2c930711-b230-48cd-8927-ca407ff217fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c930711-b230-48cd-8927-ca407ff217fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cee145e0-e69c-4ff2-9405-731ad5525dab' class='xr-var-data-in' type='checkbox'><label for='data-cee145e0-e69c-4ff2-9405-731ad5525dab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>lev :</span></dt><dd>500.0</dd><dt><span>short_name :</span></dt><dd>HGT</dd><dt><span>long_name :</span></dt><dd>Geopotential Height</dd><dt><span>units :</span></dt><dd>gpm</dd></dl></div><div class='xr-var-data'><pre>[5045760 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-699123fe-0a56-4e33-b4c1-f79d54f81403' class='xr-section-summary-in' type='checkbox'  ><label for='section-699123fe-0a56-4e33-b4c1-f79d54f81403' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c07783e1-9ceb-467b-865d-bdd57221656c' class='xr-index-data-in' type='checkbox'/><label for='index-c07783e1-9ceb-467b-865d-bdd57221656c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,
+       ...
+       470, 471, 472, 473, 474, 475, 476, 477, 478, 479],
+      dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;, length=480))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-af73b934-2366-45e3-9fcd-711a9bec3027' class='xr-index-data-in' type='checkbox'/><label for='index-af73b934-2366-45e3-9fcd-711a9bec3027' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-90.0, -87.5, -85.0, -82.5, -80.0, -77.5, -75.0, -72.5, -70.0, -67.5,
+       -65.0, -62.5, -60.0, -57.5, -55.0, -52.5, -50.0, -47.5, -45.0, -42.5,
+       -40.0, -37.5, -35.0, -32.5, -30.0, -27.5, -25.0, -22.5, -20.0, -17.5,
+       -15.0, -12.5, -10.0,  -7.5,  -5.0,  -2.5,   0.0,   2.5,   5.0,   7.5,
+        10.0,  12.5,  15.0,  17.5,  20.0,  22.5,  25.0,  27.5,  30.0,  32.5,
+        35.0,  37.5,  40.0,  42.5,  45.0,  47.5,  50.0,  52.5,  55.0,  57.5,
+        60.0,  62.5,  65.0,  67.5,  70.0,  72.5,  75.0,  77.5,  80.0,  82.5,
+        85.0,  87.5,  90.0],
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3e903469-a40f-41fc-98e8-455cf57d3493' class='xr-index-data-in' type='checkbox'/><label for='index-3e903469-a40f-41fc-98e8-455cf57d3493' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.5,   5.0,   7.5,  10.0,  12.5,  15.0,  17.5,  20.0,  22.5,
+       ...
+       335.0, 337.5, 340.0, 342.5, 345.0, 347.5, 350.0, 352.5, 355.0, 357.5],
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=144))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8fec7e08-8768-4ddf-bcce-ce08f3bf832f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8fec7e08-8768-4ddf-bcce-ce08f3bf832f' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>conventions :</span></dt><dd>None</dd><dt><span>history :</span></dt><dd>NCEP/NCAR REANALYSIS MONTHLY MEAN SUBSETS
+ftp://ncardata.ucar.edu/pub/reanalysis/monthly/presa/
+</dd><dt><span>source :</span></dt><dd>NCEP Reanalysis; ds090.2</dd><dt><span>title :</span></dt><dd>500mb Geopotential Height: 1958-1997</dd><dt><span>source_mss :</span></dt><dd>/SHEA/HVL/HGT_1958-1997.nc:  500 mb extracted</dd><dt><span>creation_date :</span></dt><dd>creation date: Tue Aug  7 16:31:48 MDT 2001</dd></dl></div></li></ul></div></div></div></div>
+</div>
+</div>
+<div class="section" id="initial-spaghetti-plot-on-north-polar-stereographic-projection">
+<h3>Initial Spaghetti Plot on North Polar Stereographic Projection<a class="headerlink" href="#initial-spaghetti-plot-on-north-polar-stereographic-projection" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Again, first let’s set up our Cartopy axes. This time setting our projection to <code class="docutils literal notranslate"><span class="pre">NorthPolarStereo</span></code>.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Set up Cartopy Map Projection</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">axes</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">NorthPolarStereo</span><span class="p">())</span>
+
+<span class="n">gv</span><span class="o">.</span><span class="n">set_map_boundary</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="p">[</span><span class="o">-</span><span class="mi">180</span><span class="p">,</span> <span class="mi">180</span><span class="p">],</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">40</span><span class="p">],</span> <span class="n">south_pad</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">add_feature</span><span class="p">(</span><span class="n">cfeature</span><span class="o">.</span><span class="n">LAND</span><span class="p">,</span> <span class="n">facecolor</span><span class="o">=</span><span class="s1">&#39;lightgray&#39;</span><span class="p">)</span>
+
+<span class="c1"># Set draw_labels to False so that we can manually manipulate it</span>
+<span class="n">gl</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">gridlines</span><span class="p">(</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span>
+                  <span class="n">draw_labels</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+                  <span class="n">linestyle</span><span class="o">=</span><span class="s2">&quot;--&quot;</span><span class="p">,</span>
+                  <span class="n">linewidth</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+                  <span class="n">color</span><span class="o">=</span><span class="s1">&#39;darkgray&#39;</span><span class="p">,</span>
+                  <span class="n">zorder</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/2e117f7c7093f62e22ed691d70bb5d08290dfda03158e4cca2fcc6931aeedccf.png" src="../_images/2e117f7c7093f62e22ed691d70bb5d08290dfda03158e4cca2fcc6931aeedccf.png" />
+</div>
+</div>
+<p>Then let’s add our data to this plot.</p>
+<p>We will iterate through every 12th timestep</p>
+<ul class="simple">
+<li><p>handling any artifacts of the global wrapping at 0 or 360 degrees with <code class="docutils literal notranslate"><span class="pre">gv.xr_add_cyclic_longitudes(p,</span> <span class="pre">&quot;lon&quot;)</span></code></p></li>
+<li><p>and calling a contour plot on a single level.</p></li>
+</ul>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Set up Cartopy Map Projection</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">axes</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">NorthPolarStereo</span><span class="p">())</span>
+
+<span class="n">gv</span><span class="o">.</span><span class="n">set_map_boundary</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="p">[</span><span class="o">-</span><span class="mi">180</span><span class="p">,</span> <span class="mi">180</span><span class="p">],</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">40</span><span class="p">],</span> <span class="n">south_pad</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">add_feature</span><span class="p">(</span><span class="n">cfeature</span><span class="o">.</span><span class="n">LAND</span><span class="p">,</span> <span class="n">facecolor</span><span class="o">=</span><span class="s1">&#39;lightgray&#39;</span><span class="p">)</span>
+
+<span class="c1"># Set draw_labels to False so that we can manually manipulate it</span>
+<span class="n">gl</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">gridlines</span><span class="p">(</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span>
+                  <span class="n">draw_labels</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+                  <span class="n">linestyle</span><span class="o">=</span><span class="s2">&quot;--&quot;</span><span class="p">,</span>
+                  <span class="n">linewidth</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+                  <span class="n">color</span><span class="o">=</span><span class="s1">&#39;darkgray&#39;</span><span class="p">,</span>
+                  <span class="n">zorder</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+
+<span class="c1"># Iterate through the 19 timesteps, plotting the data</span>
+<span class="n">n</span> <span class="o">=</span> <span class="mi">19</span>
+<span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">n</span><span class="p">):</span>
+
+    <span class="c1"># Get a slice of data at the 12*x timestep</span>
+    <span class="n">p</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">HGT</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="n">time</span><span class="o">=</span><span class="mi">12</span><span class="o">*</span><span class="n">x</span><span class="p">)</span>
+
+    <span class="c1"># Use geocat-viz utility function to handle the no-shown-data artifact</span>
+    <span class="c1"># of 0 and 360-degree longitudes</span>
+    <span class="n">slon</span> <span class="o">=</span> <span class="n">gv</span><span class="o">.</span><span class="n">xr_add_cyclic_longitudes</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="s2">&quot;lon&quot;</span><span class="p">)</span>
+
+    <span class="c1"># Plot contour data at pressure level 5500 for the 12*x timestep</span>
+    <span class="n">p</span> <span class="o">=</span> <span class="n">slon</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">contour</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span>
+                          <span class="n">transform</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span>
+                          <span class="n">linewidths</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span>
+                          <span class="n">levels</span><span class="o">=</span><span class="p">[</span><span class="mi">5500</span><span class="p">],</span>
+                          <span class="n">colors</span><span class="o">=</span><span class="s1">&#39;blue&#39;</span><span class="p">,</span>
+                          <span class="n">add_labels</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/c490cc5d3eb35b8b40a53272cbc9c972af96764da0d1af2c1215abbc313cd234.png" src="../_images/c490cc5d3eb35b8b40a53272cbc9c972af96764da0d1af2c1215abbc313cd234.png" />
+</div>
+</div>
+</div>
+<div class="section" id="adding-directional-labels-to-polar-stereographic-projection">
+<h3>Adding Directional Labels to Polar Stereographic Projection<a class="headerlink" href="#adding-directional-labels-to-polar-stereographic-projection" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Adding labels to a map projection that aren’t lat/lon coordinates is less than intuitive. In this example we manually add labels and select their locations so that you can see NESW labels.</p>
+<p>For this we use <code class="docutils literal notranslate"><span class="pre">mticker.FixedLocator()</span></code> to manipulare gridline spacing, manipulate East and West tick labels separately, and specify tick locations with <code class="docutils literal notranslate"><span class="pre">ax.text(transform=ccrs.Geodetic())</span></code>.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Generate a figure</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
+
+<span class="c1"># Create an axis with a polar stereographic projection</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">axes</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">NorthPolarStereo</span><span class="p">())</span>
+
+<span class="c1"># Add land feature to map</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">add_feature</span><span class="p">(</span><span class="n">cfeature</span><span class="o">.</span><span class="n">LAND</span><span class="p">,</span> <span class="n">facecolor</span><span class="o">=</span><span class="s1">&#39;lightgray&#39;</span><span class="p">)</span>
+
+<span class="c1"># Set map boundary to include latitudes between 0 and 40 and longitudes</span>
+<span class="c1"># between -180 and 180 only</span>
+<span class="n">gv</span><span class="o">.</span><span class="n">set_map_boundary</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="p">[</span><span class="o">-</span><span class="mi">180</span><span class="p">,</span> <span class="mi">180</span><span class="p">],</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">40</span><span class="p">],</span> <span class="n">south_pad</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+
+<span class="c1"># Set draw_labels to False so that you can manually manipulate it later</span>
+<span class="n">gl</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">gridlines</span><span class="p">(</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span>
+                  <span class="n">draw_labels</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+                  <span class="n">linestyle</span><span class="o">=</span><span class="s2">&quot;--&quot;</span><span class="p">,</span>
+                  <span class="n">linewidth</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+                  <span class="n">color</span><span class="o">=</span><span class="s1">&#39;darkgray&#39;</span><span class="p">,</span>
+                  <span class="n">zorder</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+
+<span class="c1"># Manipulate latitude and longitude gridline numbers and spacing</span>
+<span class="n">gl</span><span class="o">.</span><span class="n">ylocator</span> <span class="o">=</span> <span class="n">mticker</span><span class="o">.</span><span class="n">FixedLocator</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">90</span><span class="p">,</span> <span class="mi">15</span><span class="p">))</span>
+<span class="n">gl</span><span class="o">.</span><span class="n">xlocator</span> <span class="o">=</span> <span class="n">mticker</span><span class="o">.</span><span class="n">FixedLocator</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="o">-</span><span class="mi">180</span><span class="p">,</span> <span class="mi">180</span><span class="p">,</span> <span class="mi">30</span><span class="p">))</span>
+
+<span class="c1"># Manipulate longitude labels (0, 30 E, 60 E, ..., 30 W, etc.)</span>
+<span class="n">ticks</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">210</span><span class="p">,</span> <span class="mi">30</span><span class="p">)</span>
+<span class="n">etick</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;0&#39;</span><span class="p">]</span> <span class="o">+</span> <span class="p">[</span>
+    <span class="sa">r</span><span class="s1">&#39;</span><span class="si">%d</span><span class="s1">E&#39;</span> <span class="o">%</span> <span class="n">tick</span> <span class="k">for</span> <span class="n">tick</span> <span class="ow">in</span> <span class="n">ticks</span> <span class="k">if</span> <span class="p">(</span><span class="n">tick</span> <span class="o">!=</span> <span class="mi">0</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">tick</span> <span class="o">!=</span> <span class="mi">180</span><span class="p">)</span>
+<span class="p">]</span> <span class="o">+</span> <span class="p">[</span><span class="s1">&#39;180&#39;</span><span class="p">]</span>
+<span class="n">wtick</span> <span class="o">=</span> <span class="p">[</span><span class="sa">r</span><span class="s1">&#39;</span><span class="si">%d</span><span class="s1">W&#39;</span> <span class="o">%</span> <span class="n">tick</span> <span class="k">for</span> <span class="n">tick</span> <span class="ow">in</span> <span class="n">ticks</span> <span class="k">if</span> <span class="p">(</span><span class="n">tick</span> <span class="o">!=</span> <span class="mi">0</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">tick</span> <span class="o">!=</span> <span class="mi">180</span><span class="p">)]</span>
+<span class="n">labels</span> <span class="o">=</span> <span class="n">etick</span> <span class="o">+</span> <span class="n">wtick</span>
+<span class="n">xticks</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">360</span><span class="p">,</span> <span class="mi">30</span><span class="p">)</span>
+<span class="n">yticks</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">full_like</span><span class="p">(</span><span class="n">xticks</span><span class="p">,</span> <span class="o">-</span><span class="mi">5</span><span class="p">)</span>  <span class="c1"># Latitude where the labels will be drawn</span>
+<span class="k">for</span> <span class="n">xtick</span><span class="p">,</span> <span class="n">ytick</span><span class="p">,</span> <span class="n">label</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">xticks</span><span class="p">,</span> <span class="n">yticks</span><span class="p">,</span> <span class="n">labels</span><span class="p">):</span>
+    <span class="k">if</span> <span class="n">label</span> <span class="o">==</span> <span class="s1">&#39;180&#39;</span><span class="p">:</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="n">xtick</span><span class="p">,</span>
+                <span class="n">ytick</span><span class="p">,</span>
+                <span class="n">label</span><span class="p">,</span>
+                <span class="n">fontsize</span><span class="o">=</span><span class="mi">12</span><span class="p">,</span>
+                <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">&#39;center&#39;</span><span class="p">,</span>
+                <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">&#39;top&#39;</span><span class="p">,</span>
+                <span class="n">transform</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">Geodetic</span><span class="p">())</span>
+    <span class="k">elif</span> <span class="n">label</span> <span class="o">==</span> <span class="s1">&#39;0&#39;</span><span class="p">:</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="n">xtick</span><span class="p">,</span>
+                <span class="n">ytick</span><span class="p">,</span>
+                <span class="n">label</span><span class="p">,</span>
+                <span class="n">fontsize</span><span class="o">=</span><span class="mi">12</span><span class="p">,</span>
+                <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">&#39;center&#39;</span><span class="p">,</span>
+                <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">&#39;bottom&#39;</span><span class="p">,</span>
+                <span class="n">transform</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">Geodetic</span><span class="p">())</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="n">xtick</span><span class="p">,</span>
+                <span class="n">ytick</span><span class="p">,</span>
+                <span class="n">label</span><span class="p">,</span>
+                <span class="n">fontsize</span><span class="o">=</span><span class="mi">12</span><span class="p">,</span>
+                <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">&#39;center&#39;</span><span class="p">,</span>
+                <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">&#39;center&#39;</span><span class="p">,</span>
+                <span class="n">transform</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">Geodetic</span><span class="p">())</span>
+
+<span class="c1"># Iterate through 18 different timesteps</span>
+<span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">19</span><span class="p">):</span>
+
+    <span class="c1"># Get a slice of data at the 12*x+1 timestep</span>
+    <span class="n">p</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">HGT</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="n">time</span><span class="o">=</span><span class="mi">12</span> <span class="o">*</span> <span class="n">x</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+
+    <span class="c1"># Use geocat-viz utility function to handle the no-shown-data artifact</span>
+    <span class="c1"># of 0 and 360-degree longitudes</span>
+    <span class="n">slon</span> <span class="o">=</span> <span class="n">gv</span><span class="o">.</span><span class="n">xr_add_cyclic_longitudes</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="s2">&quot;lon&quot;</span><span class="p">)</span>
+
+    <span class="c1"># Plot contour data at pressure level 5500 for the 12*x+1 timestep</span>
+    <span class="n">p</span> <span class="o">=</span> <span class="n">slon</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">contour</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span>
+                          <span class="n">transform</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span>
+                          <span class="n">linewidths</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span>
+                          <span class="n">levels</span><span class="o">=</span><span class="p">[</span><span class="mi">5500</span><span class="p">],</span>
+                          <span class="n">colors</span><span class="o">=</span><span class="s1">&#39;blue&#39;</span><span class="p">,</span>
+                          <span class="n">add_labels</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+
+<span class="c1"># Use geocat.viz.util convenience function to add titles</span>
+<span class="n">gv</span><span class="o">.</span><span class="n">set_titles_and_labels</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span>
+                         <span class="n">maintitle</span><span class="o">=</span><span class="sa">r</span><span class="s2">&quot;$\bf</span><span class="si">{Spaghetti}</span><span class="s2">$&quot;</span> <span class="o">+</span> <span class="s2">&quot; &quot;</span> <span class="o">+</span> <span class="sa">r</span><span class="s2">&quot;$\bf</span><span class="si">{Plot}</span><span class="s2">$&quot;</span><span class="p">,</span>
+                         <span class="n">lefttitle</span><span class="o">=</span><span class="n">slon</span><span class="o">.</span><span class="n">long_name</span><span class="p">,</span>
+                         <span class="n">righttitle</span><span class="o">=</span><span class="s1">&#39;5500 &#39;</span><span class="o">+</span><span class="n">slon</span><span class="o">.</span><span class="n">units</span><span class="p">)</span>
+
+<span class="c1"># Make tight layout</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/4cb75ac25afb6cc7cbdf6bbcb840bb6d9780f1c0de5b073848b033b2389319b9.png" src="../_images/4cb75ac25afb6cc7cbdf6bbcb840bb6d9780f1c0de5b073848b033b2389319b9.png" />
+</div>
+</div>
+<p>Now in this example, there isn’t necessarily a temporal progression of geopotential height, but to be sure let’s add a colormap component to each of our loops.</p>
+<p>This is also useful because for your data visualization application there might be, and the commands are slightly different for a contour plot as for a line plot in the above example.</p>
+</div>
+<div class="section" id="contour-spaghetti-plot-temporal-colorbar-manipulation">
+<h3>Contour Spaghetti Plot Temporal Colorbar Manipulation<a class="headerlink" href="#contour-spaghetti-plot-temporal-colorbar-manipulation" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Let’s update add a discrete colorbar that has yearly ticklabels. One challenge addressed in this example is setting the ticklabels to be in the center of each discrete color box.</p>
+<p>New code lines here are:</p>
+<ul class="simple">
+<li><p>creating a discrete colormap with <code class="docutils literal notranslate"><span class="pre">plt.get_cmap('winter_r',</span> <span class="pre">n)</span></code> and color bounds with <code class="docutils literal notranslate"><span class="pre">np.linspace()</span></code></p></li>
+<li><p>specifying the color in each contour call with <code class="docutils literal notranslate"><span class="pre">colors=[cmap(bounds)[x]]</span></code></p></li>
+<li><p>adjusting the time unit for the colorbar ticks</p></li>
+<li><p>adding a colorbar for the normalized colormap, calling the <code class="docutils literal notranslate"><span class="pre">orientation</span></code>, <code class="docutils literal notranslate"><span class="pre">shrink</span></code>, and <code class="docutils literal notranslate"><span class="pre">pad</span></code> keyword arguments to make it display well</p></li>
+<li><p>setting colorbar tick location to be at color midpoints with <code class="docutils literal notranslate"><span class="pre">cbar.set_ticks()</span></code>, yet forcing their labels to be years (not year midpoints) with <code class="docutils literal notranslate"><span class="pre">cbar.set_ticklabels()</span></code></p></li>
+</ul>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Set up Cartopy Map Projection</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">axes</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">NorthPolarStereo</span><span class="p">())</span>
+
+<span class="n">gv</span><span class="o">.</span><span class="n">set_map_boundary</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="p">[</span><span class="o">-</span><span class="mi">180</span><span class="p">,</span> <span class="mi">180</span><span class="p">],</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">40</span><span class="p">],</span> <span class="n">south_pad</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">add_feature</span><span class="p">(</span><span class="n">cfeature</span><span class="o">.</span><span class="n">LAND</span><span class="p">,</span> <span class="n">facecolor</span><span class="o">=</span><span class="s1">&#39;lightgray&#39;</span><span class="p">)</span>
+
+<span class="c1"># Set draw_labels to False so that we can manually manipulate it</span>
+<span class="n">gl</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">gridlines</span><span class="p">(</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span>
+                  <span class="n">draw_labels</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+                  <span class="n">linestyle</span><span class="o">=</span><span class="s2">&quot;--&quot;</span><span class="p">,</span>
+                  <span class="n">linewidth</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+                  <span class="n">color</span><span class="o">=</span><span class="s1">&#39;darkgray&#39;</span><span class="p">,</span>
+                  <span class="n">zorder</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+
+<span class="c1"># Manipulate latitude and longitude gridline numbers and spacing</span>
+<span class="n">gl</span><span class="o">.</span><span class="n">ylocator</span> <span class="o">=</span> <span class="n">mticker</span><span class="o">.</span><span class="n">FixedLocator</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">90</span><span class="p">,</span> <span class="mi">15</span><span class="p">))</span>
+<span class="n">gl</span><span class="o">.</span><span class="n">xlocator</span> <span class="o">=</span> <span class="n">mticker</span><span class="o">.</span><span class="n">FixedLocator</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="o">-</span><span class="mi">180</span><span class="p">,</span> <span class="mi">180</span><span class="p">,</span> <span class="mi">30</span><span class="p">))</span>
+
+<span class="c1"># Manipulate longitude labels (0, 30 E, 60 E, ..., 30 W, etc.)</span>
+<span class="n">ticks</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">210</span><span class="p">,</span> <span class="mi">30</span><span class="p">)</span>
+<span class="n">etick</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;0&#39;</span><span class="p">]</span> <span class="o">+</span> <span class="p">[</span>
+    <span class="sa">r</span><span class="s1">&#39;</span><span class="si">%d</span><span class="s1">E&#39;</span> <span class="o">%</span> <span class="n">tick</span> <span class="k">for</span> <span class="n">tick</span> <span class="ow">in</span> <span class="n">ticks</span> <span class="k">if</span> <span class="p">(</span><span class="n">tick</span> <span class="o">!=</span> <span class="mi">0</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">tick</span> <span class="o">!=</span> <span class="mi">180</span><span class="p">)</span>
+<span class="p">]</span> <span class="o">+</span> <span class="p">[</span><span class="s1">&#39;180&#39;</span><span class="p">]</span>
+<span class="n">wtick</span> <span class="o">=</span> <span class="p">[</span><span class="sa">r</span><span class="s1">&#39;</span><span class="si">%d</span><span class="s1">W&#39;</span> <span class="o">%</span> <span class="n">tick</span> <span class="k">for</span> <span class="n">tick</span> <span class="ow">in</span> <span class="n">ticks</span> <span class="k">if</span> <span class="p">(</span><span class="n">tick</span> <span class="o">!=</span> <span class="mi">0</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">tick</span> <span class="o">!=</span> <span class="mi">180</span><span class="p">)]</span>
+<span class="n">labels</span> <span class="o">=</span> <span class="n">etick</span> <span class="o">+</span> <span class="n">wtick</span>
+<span class="n">xticks</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">360</span><span class="p">,</span> <span class="mi">30</span><span class="p">)</span>
+<span class="n">yticks</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">full_like</span><span class="p">(</span><span class="n">xticks</span><span class="p">,</span> <span class="o">-</span><span class="mi">5</span><span class="p">)</span>  <span class="c1"># Latitude where the labels will be drawn</span>
+<span class="k">for</span> <span class="n">xtick</span><span class="p">,</span> <span class="n">ytick</span><span class="p">,</span> <span class="n">label</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">xticks</span><span class="p">,</span> <span class="n">yticks</span><span class="p">,</span> <span class="n">labels</span><span class="p">):</span>
+    <span class="k">if</span> <span class="n">label</span> <span class="o">==</span> <span class="s1">&#39;180&#39;</span><span class="p">:</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="n">xtick</span><span class="p">,</span>
+                <span class="n">ytick</span><span class="p">,</span>
+                <span class="n">label</span><span class="p">,</span>
+                <span class="n">fontsize</span><span class="o">=</span><span class="mi">12</span><span class="p">,</span>
+                <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">&#39;center&#39;</span><span class="p">,</span>
+                <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">&#39;top&#39;</span><span class="p">,</span>
+                <span class="n">transform</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">Geodetic</span><span class="p">())</span>
+    <span class="k">elif</span> <span class="n">label</span> <span class="o">==</span> <span class="s1">&#39;0&#39;</span><span class="p">:</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="n">xtick</span><span class="p">,</span>
+                <span class="n">ytick</span><span class="p">,</span>
+                <span class="n">label</span><span class="p">,</span>
+                <span class="n">fontsize</span><span class="o">=</span><span class="mi">12</span><span class="p">,</span>
+                <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">&#39;center&#39;</span><span class="p">,</span>
+                <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">&#39;bottom&#39;</span><span class="p">,</span>
+                <span class="n">transform</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">Geodetic</span><span class="p">())</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="n">xtick</span><span class="p">,</span>
+                <span class="n">ytick</span><span class="p">,</span>
+                <span class="n">label</span><span class="p">,</span>
+                <span class="n">fontsize</span><span class="o">=</span><span class="mi">12</span><span class="p">,</span>
+                <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">&#39;center&#39;</span><span class="p">,</span>
+                <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">&#39;center&#39;</span><span class="p">,</span>
+                <span class="n">transform</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">Geodetic</span><span class="p">())</span>
+
+<span class="c1"># Create a color list for each of the 19 contours</span>
+<span class="n">n</span> <span class="o">=</span> <span class="mi">19</span>
+<span class="n">cmap</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">get_cmap</span><span class="p">(</span><span class="s1">&#39;winter_r&#39;</span><span class="p">,</span> <span class="n">n</span><span class="p">)</span> <span class="c1"># the `, n` makes the colormap display discretized</span>
+<span class="n">bounds</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">n</span><span class="p">)</span>
+
+<span class="c1"># Iterate through the timesteps</span>
+<span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">n</span><span class="p">):</span>
+
+    <span class="c1"># Get a slice of data at the 12*x timestep</span>
+    <span class="n">p</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">HGT</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="n">time</span><span class="o">=</span><span class="mi">12</span><span class="o">*</span><span class="n">x</span><span class="p">)</span>
+
+    <span class="c1"># Handle wrapping artifacts</span>
+    <span class="n">slon</span> <span class="o">=</span> <span class="n">gv</span><span class="o">.</span><span class="n">xr_add_cyclic_longitudes</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="s2">&quot;lon&quot;</span><span class="p">)</span>
+
+    <span class="c1"># Plot contour data at pressure level 5500 for the 12*x timestep</span>
+    <span class="n">p</span> <span class="o">=</span> <span class="n">slon</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">contour</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span>
+                          <span class="n">transform</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span>
+                          <span class="n">linewidths</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span>
+                          <span class="n">levels</span><span class="o">=</span><span class="p">[</span><span class="mi">5500</span><span class="p">],</span>
+                          <span class="n">colors</span><span class="o">=</span><span class="p">[</span><span class="n">cmap</span><span class="p">(</span><span class="n">bounds</span><span class="p">)[</span><span class="n">x</span><span class="p">]],</span> <span class="c1"># set colors to use our new cmap</span>
+                          <span class="n">add_labels</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+
+<span class="c1"># Add a colorbar</span>
+<span class="c1"># The default time unit is in months since 1958, years is more intuitive</span>
+<span class="n">year_0</span> <span class="o">=</span> <span class="mi">1958</span>
+<span class="n">year_n</span> <span class="o">=</span> <span class="p">(</span><span class="n">ds</span><span class="o">.</span><span class="n">time</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="n">time</span><span class="o">=</span><span class="mi">12</span><span class="o">*</span><span class="n">n</span><span class="p">)</span> <span class="o">/</span> <span class="mi">12</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">int</span><span class="p">)</span> <span class="o">+</span> <span class="n">year_0</span>
+
+<span class="n">norm</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">Normalize</span><span class="p">(</span><span class="n">vmin</span><span class="o">=</span><span class="n">year_0</span><span class="p">,</span> <span class="n">vmax</span><span class="o">=</span><span class="n">year_n</span><span class="p">)</span>
+<span class="n">cbar</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span><span class="p">(</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">ScalarMappable</span><span class="p">(</span><span class="n">cmap</span><span class="o">=</span><span class="n">cmap</span><span class="p">,</span> <span class="n">norm</span><span class="o">=</span><span class="n">norm</span><span class="p">),</span>
+    <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span>
+    <span class="n">orientation</span><span class="o">=</span><span class="s1">&#39;vertical&#39;</span><span class="p">,</span>
+    <span class="n">shrink</span><span class="o">=</span><span class="mf">0.8</span><span class="p">,</span> <span class="c1"># Shrink to the approximate size of the map</span>
+    <span class="n">pad</span> <span class="o">=</span> <span class="mf">0.1</span><span class="p">)</span> <span class="c1"># Pad so colorbar doesn&#39;t overlap with directional label</span>
+
+<span class="n">cbar</span><span class="o">.</span><span class="n">set_ticks</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">year_0</span><span class="o">+</span><span class="mf">0.5</span><span class="p">,</span> <span class="n">year_n</span><span class="p">))</span> <span class="c1"># Set tick locations to be at color midpoints</span>
+<span class="n">cbar</span><span class="o">.</span><span class="n">set_ticklabels</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">year_0</span><span class="p">,</span> <span class="n">year_n</span><span class="p">))</span> <span class="c1"># Set tick labels to be years (despite their location value being year + 0.5)</span>
+<span class="n">cbar</span><span class="o">.</span><span class="n">set_label</span><span class="p">(</span><span class="s1">&#39;Time (years)&#39;</span><span class="p">)</span>
+
+<span class="c1"># Use geocat.viz.util convenience function to add titles</span>
+<span class="n">gv</span><span class="o">.</span><span class="n">set_titles_and_labels</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span>
+                         <span class="n">maintitle</span><span class="o">=</span><span class="sa">r</span><span class="s2">&quot;$\bf</span><span class="si">{Spaghetti}</span><span class="s2">$&quot;</span> <span class="o">+</span> <span class="s2">&quot; &quot;</span> <span class="o">+</span> <span class="sa">r</span><span class="s2">&quot;$\bf</span><span class="si">{Plot}</span><span class="s2">$&quot;</span><span class="p">,</span>
+                         <span class="n">lefttitle</span><span class="o">=</span><span class="n">slon</span><span class="o">.</span><span class="n">long_name</span><span class="p">,</span>
+                         <span class="n">righttitle</span><span class="o">=</span><span class="s1">&#39;5500 &#39;</span><span class="o">+</span><span class="n">slon</span><span class="o">.</span><span class="n">units</span><span class="p">)</span>
+
+<span class="c1"># Make tight layout</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">();</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/a089008e62fb0588ce2e4b7dd4d9e7e561a304e06b5f809285ff388b6bc02b61.png" src="../_images/a089008e62fb0588ce2e4b7dd4d9e7e561a304e06b5f809285ff388b6bc02b61.png" />
+</div>
+</div>
+</div>
+<div class="section" id="contour-spaghetti-plot-with-hand-picked-colors">
+<h3>Contour Spaghetti Plot with Hand-Picked Colors<a class="headerlink" href="#contour-spaghetti-plot-with-hand-picked-colors" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>If you want your plot to be visually appealing it might be worth selecting different colors for each contour plot in the for-loop, however these do not have to be sequentially ordered or time-aware. It is actually simplest to hand-pick colors for each loop. In this iteration of the plot we hand pick colors in a <code class="docutils literal notranslate"><span class="pre">colorlist</span></code> and plot the first time step on its own to demonstrate plotting one loop unlike the others.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Generate a figure</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
+
+<span class="c1"># Create an axis with a polar stereographic projection</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">axes</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">NorthPolarStereo</span><span class="p">())</span>
+
+<span class="c1"># Add land feature to map</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">add_feature</span><span class="p">(</span><span class="n">cfeature</span><span class="o">.</span><span class="n">LAND</span><span class="p">,</span> <span class="n">facecolor</span><span class="o">=</span><span class="s1">&#39;lightgray&#39;</span><span class="p">)</span>
+
+<span class="c1"># Set map boundary to include latitudes between 0 and 40 and longitudes</span>
+<span class="c1"># between -180 and 180 only</span>
+<span class="n">gv</span><span class="o">.</span><span class="n">set_map_boundary</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="p">[</span><span class="o">-</span><span class="mi">180</span><span class="p">,</span> <span class="mi">180</span><span class="p">],</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">40</span><span class="p">],</span> <span class="n">south_pad</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+
+<span class="c1"># Set draw_labels to False so that you can manually manipulate it later</span>
+<span class="n">gl</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">gridlines</span><span class="p">(</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span>
+                  <span class="n">draw_labels</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+                  <span class="n">linestyle</span><span class="o">=</span><span class="s2">&quot;--&quot;</span><span class="p">,</span>
+                  <span class="n">linewidth</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+                  <span class="n">color</span><span class="o">=</span><span class="s1">&#39;darkgray&#39;</span><span class="p">,</span>
+                  <span class="n">zorder</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+
+<span class="c1"># Manipulate latitude and longitude gridline numbers and spacing</span>
+<span class="n">gl</span><span class="o">.</span><span class="n">ylocator</span> <span class="o">=</span> <span class="n">mticker</span><span class="o">.</span><span class="n">FixedLocator</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">90</span><span class="p">,</span> <span class="mi">15</span><span class="p">))</span>
+<span class="n">gl</span><span class="o">.</span><span class="n">xlocator</span> <span class="o">=</span> <span class="n">mticker</span><span class="o">.</span><span class="n">FixedLocator</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="o">-</span><span class="mi">180</span><span class="p">,</span> <span class="mi">180</span><span class="p">,</span> <span class="mi">30</span><span class="p">))</span>
+
+<span class="c1"># Manipulate longitude labels (0, 30 E, 60 E, ..., 30 W, etc.)</span>
+<span class="n">ticks</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">210</span><span class="p">,</span> <span class="mi">30</span><span class="p">)</span>
+<span class="n">etick</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;0&#39;</span><span class="p">]</span> <span class="o">+</span> <span class="p">[</span>
+    <span class="sa">r</span><span class="s1">&#39;</span><span class="si">%d</span><span class="s1">E&#39;</span> <span class="o">%</span> <span class="n">tick</span> <span class="k">for</span> <span class="n">tick</span> <span class="ow">in</span> <span class="n">ticks</span> <span class="k">if</span> <span class="p">(</span><span class="n">tick</span> <span class="o">!=</span> <span class="mi">0</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">tick</span> <span class="o">!=</span> <span class="mi">180</span><span class="p">)</span>
+<span class="p">]</span> <span class="o">+</span> <span class="p">[</span><span class="s1">&#39;180&#39;</span><span class="p">]</span>
+<span class="n">wtick</span> <span class="o">=</span> <span class="p">[</span><span class="sa">r</span><span class="s1">&#39;</span><span class="si">%d</span><span class="s1">W&#39;</span> <span class="o">%</span> <span class="n">tick</span> <span class="k">for</span> <span class="n">tick</span> <span class="ow">in</span> <span class="n">ticks</span> <span class="k">if</span> <span class="p">(</span><span class="n">tick</span> <span class="o">!=</span> <span class="mi">0</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">tick</span> <span class="o">!=</span> <span class="mi">180</span><span class="p">)]</span>
+<span class="n">labels</span> <span class="o">=</span> <span class="n">etick</span> <span class="o">+</span> <span class="n">wtick</span>
+<span class="n">xticks</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">360</span><span class="p">,</span> <span class="mi">30</span><span class="p">)</span>
+<span class="n">yticks</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">full_like</span><span class="p">(</span><span class="n">xticks</span><span class="p">,</span> <span class="o">-</span><span class="mi">5</span><span class="p">)</span>  <span class="c1"># Latitude where the labels will be drawn</span>
+<span class="k">for</span> <span class="n">xtick</span><span class="p">,</span> <span class="n">ytick</span><span class="p">,</span> <span class="n">label</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">xticks</span><span class="p">,</span> <span class="n">yticks</span><span class="p">,</span> <span class="n">labels</span><span class="p">):</span>
+    <span class="k">if</span> <span class="n">label</span> <span class="o">==</span> <span class="s1">&#39;180&#39;</span><span class="p">:</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="n">xtick</span><span class="p">,</span>
+                <span class="n">ytick</span><span class="p">,</span>
+                <span class="n">label</span><span class="p">,</span>
+                <span class="n">fontsize</span><span class="o">=</span><span class="mi">12</span><span class="p">,</span>
+                <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">&#39;center&#39;</span><span class="p">,</span>
+                <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">&#39;top&#39;</span><span class="p">,</span>
+                <span class="n">transform</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">Geodetic</span><span class="p">())</span>
+    <span class="k">elif</span> <span class="n">label</span> <span class="o">==</span> <span class="s1">&#39;0&#39;</span><span class="p">:</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="n">xtick</span><span class="p">,</span>
+                <span class="n">ytick</span><span class="p">,</span>
+                <span class="n">label</span><span class="p">,</span>
+                <span class="n">fontsize</span><span class="o">=</span><span class="mi">12</span><span class="p">,</span>
+                <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">&#39;center&#39;</span><span class="p">,</span>
+                <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">&#39;bottom&#39;</span><span class="p">,</span>
+                <span class="n">transform</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">Geodetic</span><span class="p">())</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="n">xtick</span><span class="p">,</span>
+                <span class="n">ytick</span><span class="p">,</span>
+                <span class="n">label</span><span class="p">,</span>
+                <span class="n">fontsize</span><span class="o">=</span><span class="mi">12</span><span class="p">,</span>
+                <span class="n">horizontalalignment</span><span class="o">=</span><span class="s1">&#39;center&#39;</span><span class="p">,</span>
+                <span class="n">verticalalignment</span><span class="o">=</span><span class="s1">&#39;center&#39;</span><span class="p">,</span>
+                <span class="n">transform</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">Geodetic</span><span class="p">())</span>
+
+<span class="c1"># Get slice of data at the 0th timestep - plot this contour line separately</span>
+<span class="c1"># because it will be thicker than the other contour lines</span>
+<span class="n">p</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">HGT</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="n">time</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+
+<span class="c1"># Use geocat-viz utility function to handle the no-shown-data</span>
+<span class="c1"># artifact of 0 and 360-degree longitudes</span>
+<span class="n">slon</span> <span class="o">=</span> <span class="n">gv</span><span class="o">.</span><span class="n">xr_add_cyclic_longitudes</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="s2">&quot;lon&quot;</span><span class="p">)</span>
+
+<span class="c1"># Plot contour data at pressure level 5500 at the first timestep</span>
+<span class="n">p</span> <span class="o">=</span> <span class="n">slon</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">contour</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span>
+                      <span class="n">transform</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span>
+                      <span class="n">linewidths</span><span class="o">=</span><span class="mf">1.5</span><span class="p">,</span>
+                      <span class="n">levels</span><span class="o">=</span><span class="p">[</span><span class="mi">5500</span><span class="p">],</span>
+                      <span class="n">colors</span><span class="o">=</span><span class="s1">&#39;black&#39;</span><span class="p">,</span>
+                      <span class="n">add_labels</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+
+<span class="c1"># Create a color list for each of the next 18 contours</span>
+<span class="n">colorlist</span> <span class="o">=</span> <span class="p">[</span>
+    <span class="s2">&quot;crimson&quot;</span><span class="p">,</span> <span class="s2">&quot;green&quot;</span><span class="p">,</span> <span class="s2">&quot;blue&quot;</span><span class="p">,</span> <span class="s2">&quot;yellow&quot;</span><span class="p">,</span> <span class="s2">&quot;cyan&quot;</span><span class="p">,</span> <span class="s2">&quot;hotpink&quot;</span><span class="p">,</span> <span class="s2">&quot;crimson&quot;</span><span class="p">,</span>
+    <span class="s2">&quot;skyblue&quot;</span><span class="p">,</span> <span class="s2">&quot;navy&quot;</span><span class="p">,</span> <span class="s2">&quot;lightyellow&quot;</span><span class="p">,</span> <span class="s2">&quot;mediumorchid&quot;</span><span class="p">,</span> <span class="s2">&quot;orange&quot;</span><span class="p">,</span> <span class="s2">&quot;slateblue&quot;</span><span class="p">,</span>
+    <span class="s2">&quot;palegreen&quot;</span><span class="p">,</span> <span class="s2">&quot;magenta&quot;</span><span class="p">,</span> <span class="s2">&quot;springgreen&quot;</span><span class="p">,</span> <span class="s2">&quot;pink&quot;</span><span class="p">,</span> <span class="s2">&quot;forestgreen&quot;</span><span class="p">,</span> <span class="s2">&quot;violet&quot;</span>
+<span class="p">]</span>
+
+<span class="c1"># Iterate through 18 different timesteps</span>
+<span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">18</span><span class="p">):</span>
+
+    <span class="c1"># Get a slice of data at the 12*x+1 timestep</span>
+    <span class="n">p</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">HGT</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="n">time</span><span class="o">=</span><span class="mi">12</span> <span class="o">*</span> <span class="n">x</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+
+    <span class="c1"># Use geocat-viz utility function to handle the no-shown-data artifact</span>
+    <span class="c1"># of 0 and 360-degree longitudes</span>
+    <span class="n">slon</span> <span class="o">=</span> <span class="n">gv</span><span class="o">.</span><span class="n">xr_add_cyclic_longitudes</span><span class="p">(</span><span class="n">p</span><span class="p">,</span> <span class="s2">&quot;lon&quot;</span><span class="p">)</span>
+
+    <span class="c1"># Plot contour data at pressure level 5500 for the 12*x+1 timestep</span>
+    <span class="n">p</span> <span class="o">=</span> <span class="n">slon</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">contour</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span>
+                          <span class="n">transform</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span>
+                          <span class="n">linewidths</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span>
+                          <span class="n">levels</span><span class="o">=</span><span class="p">[</span><span class="mi">5500</span><span class="p">],</span>
+                          <span class="n">colors</span><span class="o">=</span><span class="n">colorlist</span><span class="p">[</span><span class="n">x</span><span class="p">],</span>
+                          <span class="n">add_labels</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+
+<span class="c1"># Use geocat.viz.util convenience function to add titles</span>
+<span class="n">gv</span><span class="o">.</span><span class="n">set_titles_and_labels</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span>
+                         <span class="n">maintitle</span><span class="o">=</span><span class="sa">r</span><span class="s2">&quot;$\bf</span><span class="si">{Spaghetti}</span><span class="s2">$&quot;</span> <span class="o">+</span> <span class="s2">&quot; &quot;</span> <span class="o">+</span> <span class="sa">r</span><span class="s2">&quot;$\bf</span><span class="si">{Plot}</span><span class="s2">$&quot;</span><span class="p">,</span>
+                         <span class="n">lefttitle</span><span class="o">=</span><span class="n">slon</span><span class="o">.</span><span class="n">long_name</span><span class="p">,</span>
+                         <span class="n">righttitle</span><span class="o">=</span><span class="s1">&#39;5500 &#39;</span><span class="o">+</span><span class="n">slon</span><span class="o">.</span><span class="n">units</span><span class="p">)</span>
+
+<span class="c1"># Make tight layout</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/64a9c67672f54eb0de08d54a8c57e889e0492a05ff5546982e669d64a74a54ca.png" src="../_images/64a9c67672f54eb0de08d54a8c57e889e0492a05ff5546982e669d64a74a54ca.png" />
+</div>
+</div>
+</div>
+</div>
+<hr class="docutils" />
+<div class="section" id="summary">
+<h2>Summary<a class="headerlink" href="#summary" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>Spaghetti Plots are many lines drawn on the same figure. They have pros and cons. They are visually stunning but can be confusing, so it is important to make sure your data visualization conveys accurate information either by manipulating color or linewidth. Since the manipulation of spaghetti plots have their own considerations, this chapter shows several design choices that you can use to jumpstart your visualization needs.</p>
+<div class="section" id="whats-next">
+<h3>What’s next?<a class="headerlink" href="#whats-next" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Next up let’s discuss <a class="reference internal" href="7-animation.html"><span class="doc std std-doc">Animation</span></a>.</p>
+</div>
+</div>
+<div class="section" id="resources-and-references">
+<h2>Resources and references<a class="headerlink" href="#resources-and-references" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<ul class="simple">
+<li><p><a class="reference external" href="https://tropycal.github.io/tropycal/">Tropycal documentation</a></p></li>
+<li><p><a class="reference external" href="https://geocat-examples.readthedocs.io/en/latest/">GeoCat-examples Visualization Gallery</a></p></li>
+<li><p><a class="reference external" href="https://geocat-viz.readthedocs.io/en/latest/">GeoCAT-Viz documentation</a></p></li>
+</ul>
+</div>
+</div>
+
+    <script type="text/x-thebe-config">
+    {
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+            theme: "abcdef",
+            mode: "python"
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+            &copy;&nbsp;2023.
+        
+          By the <a href="https://projectpythia.org/">Project Pythia</a> Community.
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+          Last updated on 8 December 2023.
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+                <ul class="visible nav section-nav flex-column">
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#overview">
+   Overview
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#prerequisites">
+   Prerequisites
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#animation-fundamentals-with-matplotlib">
+   Animation fundamentals with
+   <code class="docutils literal notranslate">
+    <span class="pre">
+     matplotlib
+    </span>
+   </code>
+  </a>
+  <ul class="nav section-nav flex-column">
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#animating-within-jupyter-notebooks">
+     Animating within jupyter notebooks
+    </a>
+   </li>
+  </ul>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#artist-animation">
+   Artist Animation
+  </a>
+  <ul class="nav section-nav flex-column">
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#data">
+     Data
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#get-the-images-into-a-list">
+     Get the images into a list
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#creating-the-figure">
+     Creating the figure
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#creating-a-list-of-artists">
+     Creating a list of artists
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#creating-the-artist-animation">
+     Creating the artist animation
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#saving-the-animation">
+     Saving the animation
+    </a>
+   </li>
+  </ul>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#function-animation">
+   Function animation
+  </a>
+  <ul class="nav section-nav flex-column">
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#id1">
+     Data
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#id2">
+     Creating the figure
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#creating-the-initial-frame">
+     Creating the initial frame
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#creating-the-update-function">
+     Creating the update function
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#creating-the-animation">
+     Creating the animation
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#id3">
+     Saving the animation
+    </a>
+   </li>
+  </ul>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#summary">
+   Summary
+  </a>
+  <ul class="nav section-nav flex-column">
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#whats-next">
+     What’s next?
+    </a>
+   </li>
+  </ul>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#resources-and-references">
+   Resources and references
+  </a>
+ </li>
+</ul>
+
+            </nav>
+        </div>
+    </div>
+</div>
+          <div id="main-content" class="row">
+            <div class="col-12 col-md-9 pl-md-3 pr-md-0">
+              
+              <div>
+                
+  <div class="tex2jax_ignore mathjax_ignore section" id="animation">
+<h1>Animation<a class="headerlink" href="#animation" title="Permalink to this headline"><i class="fas fa-link"></i></a></h1>
+<div class="section" id="overview">
+<h2>Overview<a class="headerlink" href="#overview" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>Animations can be a useful and effective tool to visualize data, especially when that data changes over time. In this notebook, we will explore how to create animations using the <code class="docutils literal notranslate"><span class="pre">matplotlib</span></code> library.</p>
+<p>We will cover the two methods for creating animations in <code class="docutils literal notranslate"><span class="pre">matplotlib</span></code>, how to set up the elements of both types of animation, how to show the animation in jupyter notebooks, and how to save the animation to a file.</p>
+<ol class="arabic simple">
+<li><p>Animation fundamentals with <code class="docutils literal notranslate"><span class="pre">matplotlib</span></code></p></li>
+<li><p>Artist Animation</p></li>
+<li><p>Function Animation</p></li>
+</ol>
+</div>
+<div class="section" id="prerequisites">
+<h2>Prerequisites<a class="headerlink" href="#prerequisites" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<table class="colwidths-auto table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Concepts</p></th>
+<th class="head"><p>Importance</p></th>
+<th class="head"><p>Notes</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p><a class="reference external" href="https://foundations.projectpythia.org/core/matplotlib.html">Matplotlib</a></p></td>
+<td><p>Necessary</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference external" href="https://foundations.projectpythia.org/core/cartopy.html">Cartopy</a></p></td>
+<td><p>Useful</p></td>
+<td><p>Not necessary for animations in general, but useful for the examples in this notebook</p></td>
+</tr>
+</tbody>
+</table>
+<ul class="simple">
+<li><p><strong>Time to learn</strong>: 10 minutes</p></li>
+</ul>
+<hr class="docutils" />
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<span class="kn">import</span> <span class="nn">matplotlib.animation</span> <span class="k">as</span> <span class="nn">animation</span>
+<span class="kn">import</span> <span class="nn">xarray</span> <span class="k">as</span> <span class="nn">xr</span>
+<span class="kn">from</span> <span class="nn">matplotlib</span> <span class="kn">import</span> <span class="n">pyplot</span> <span class="k">as</span> <span class="n">plt</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">from</span> <span class="nn">PIL</span> <span class="kn">import</span> <span class="n">Image</span>
+
+<span class="kn">import</span> <span class="nn">geocat.datafiles</span> <span class="k">as</span> <span class="nn">gdf</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="section" id="animation-fundamentals-with-matplotlib">
+<h2>Animation fundamentals with <code class="docutils literal notranslate"><span class="pre">matplotlib</span></code><a class="headerlink" href="#animation-fundamentals-with-matplotlib" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>There are two different methods of creating animations with <code class="docutils literal notranslate"><span class="pre">matplotlib</span></code>:</p>
+<ol class="arabic simple">
+<li><p>Artist animations pulls from a list of pre-made <a class="reference external" href="https://matplotlib.org/stable/api/artist_api.html#matplotlib.artist.Artist">artists</a> to draw in each frame to produce an animation</p></li>
+<li><p>Function animation iteratively modifies data on a pre-existing figure to produce an animation</p></li>
+</ol>
+<p>Generally, function animation is easier to use, but artist animation can be more flexible for certain applications. We’ll cover both methods in this notebook.</p>
+<div class="section" id="animating-within-jupyter-notebooks">
+<h3>Animating within jupyter notebooks<a class="headerlink" href="#animating-within-jupyter-notebooks" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Before we get into either type of animation, we’re going to alter <a class="reference external" href="https://matplotlib.org/stable/users/explain/customizing.html"><code class="docutils literal notranslate"><span class="pre">matplotlib</span></code>’s runtime configuration settings</a> (or <code class="docutils literal notranslate"><span class="pre">rcParams</span></code>) to allow us to use <code class="docutils literal notranslate"><span class="pre">matplotlib</span></code>’s animation functions within jupyter notebooks. This next cell is not necessary if you want to create animations in a script or just want to save the animation to a file.</p>
+<p>Here, we’re changing default animation html output setting to <code class="docutils literal notranslate"><span class="pre">&quot;jshtml&quot;</span></code>, which creates a JavaScript animation that can be displayed in a jupyter notebook. The default setting is <code class="docutils literal notranslate"><span class="pre">&quot;none&quot;</span></code>.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s2">&quot;animation.html&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="s2">&quot;jshtml&quot;</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="section" id="artist-animation">
+<h2>Artist Animation<a class="headerlink" href="#artist-animation" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>Artist animation uses pre-made artists to cycle through to produce an animation.</p>
+<p>In this example, we’re going to plot images using <code class="docutils literal notranslate"><span class="pre">matplotlib</span></code>’s <a class="reference external" href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.imshow.html"><code class="docutils literal notranslate"><span class="pre">imshow</span></code></a> function and save the resulting artist object to a list. Then, we’ll use the <a class="reference external" href="https://matplotlib.org/stable/api/_as_gen/matplotlib.animation.ArtistAnimation.html"><code class="docutils literal notranslate"><span class="pre">ArtistAnimation</span></code></a> function to create an animation from that list of artists.</p>
+<div class="section" id="data">
+<h3>Data<a class="headerlink" href="#data" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Before we get into those steps, let’s get some images to animate. First, we’ll be looking at some <a class="reference external" href="https://www.star.nesdis.noaa.gov/GOES/documents/QuickGuide_CIRA_Geocolor_20171019.pdf">GeoColor</a> satellite imagery from <a class="reference external" href="https://eospso.nasa.gov/missions/geostationary-operational-environmental-satellite-16">GOES-16</a>.</p>
+<p>In this repository, there is a script, <code class="docutils literal notranslate"><span class="pre">notebooks/scripts/goes_getter.py</span></code>, that will download hourly images from the last 24 hours from the <a class="reference external" href="https://cdn.star.nesdis.noaa.gov/GOES16/ABI/FD/GEOCOLOR/">GOES-16 archive</a> if you’d like to play around with this yourself. We have already downloaded some images for this example in the <code class="docutils literal notranslate"><span class="pre">notebooks/data/goes16_hr/</span></code> directory and will be using those for this part of the notebook.</p>
+</div>
+<div class="section" id="get-the-images-into-a-list">
+<h3>Get the images into a list<a class="headerlink" href="#get-the-images-into-a-list" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>First, we need to ge the images from the directory into a list. We know the only files in this directory are the images we want to plot, so let’s get get a list of all the files ending in <code class="docutils literal notranslate"><span class="pre">.jpg</span></code> from that path using <code class="docutils literal notranslate"><span class="pre">os.listdir()</span></code>.</p>
+<p>We’ll also sort them using the built in <code class="docutils literal notranslate"><span class="pre">sorted</span></code> function to make sure that our list of images ends up in chronological order.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">im_dir</span> <span class="o">=</span> <span class="s2">&quot;./data/goes16_hr/&quot;</span>
+<span class="n">im_paths</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">([</span><span class="n">p</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">os</span><span class="o">.</span><span class="n">listdir</span><span class="p">(</span><span class="n">im_dir</span><span class="p">)</span> <span class="k">if</span> <span class="n">p</span><span class="o">.</span><span class="n">endswith</span><span class="p">(</span><span class="s2">&quot;.jpg&quot;</span><span class="p">)])</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="section" id="creating-the-figure">
+<h3>Creating the figure<a class="headerlink" href="#creating-the-figure" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Now, we need to set up the figure we’ll be plotting our animation on.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Running the next cell will produce a blank figure in the jupyter notebook. This is expected since we’ve only created a blank figure to plot on, but haven’t actually plotted anything yet.</p>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">dpi</span> <span class="o">=</span> <span class="mi">100</span>
+<span class="n">figsize</span> <span class="o">=</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">t</span> <span class="o">/</span> <span class="n">dpi</span> <span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">im_dir</span> <span class="o">+</span> <span class="n">im_paths</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span><span class="o">.</span><span class="n">size</span><span class="p">)</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="n">figsize</span><span class="p">,</span> <span class="n">dpi</span><span class="o">=</span><span class="n">dpi</span><span class="p">)</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">add_axes</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">])</span>  <span class="c1"># span the whole figure</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set_axis_off</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<img alt="../_images/1f5217aa38c0cbca44dd16df239065078266bf2e294b17d322e47134079d3254.png" src="../_images/1f5217aa38c0cbca44dd16df239065078266bf2e294b17d322e47134079d3254.png" />
+</div>
+</div>
+<p>First, we set out dpi to be 100. This is technically not necessary at this point in creating the animation, but we’re going to use it to set the size of the figure. Since we’re plotting images, we want to make sure that the figure size is the same size as the images we’re plotting.</p>
+<p>Next, we’re going to figure out what our figsize should be based on the dpi and the size of the images we’re about to plot. <code class="docutils literal notranslate"><span class="pre">tuple(t</span> <span class="pre">/</span> <span class="pre">dpi</span> <span class="pre">for</span> <span class="pre">t</span> <span class="pre">in</span> <span class="pre">Image.open(im_dir</span> <span class="pre">+</span> <span class="pre">im_paths[0]).size)</span></code> divides each dimension of the size of the image by the intended dpi and then returns the result as a tuple. We then use that tuple to create our figsize.</p>
+<p>Next, we create the figure using <code class="docutils literal notranslate"><span class="pre">plt.figure()</span></code> and the <code class="docutils literal notranslate"><span class="pre">figsize</span></code> and <code class="docutils literal notranslate"><span class="pre">dpi</span></code> we just calculated.</p>
+<p>Then, we create the axes object using <code class="docutils literal notranslate"><span class="pre">fig.add_axes([0,</span> <span class="pre">0,</span> <span class="pre">1,</span> <span class="pre">1])</span></code>. This adds axes to our figure that span the entire range of the figure, allowing the images plot on these axes to take up the entire figure space.</p>
+<p>Finally, we turn off the axes using <code class="docutils literal notranslate"><span class="pre">ax.axis(&quot;off&quot;)</span></code>. This is because we don’t want to see axes on our final image plot.</p>
+<div class="admonition tip">
+<p class="admonition-title">Tip</p>
+<p>Customizing the figure size, dpi, and axes is not necessary for creating an artist animation, but it will make our end result look nicer.</p>
+</div>
+</div>
+<div class="section" id="creating-a-list-of-artists">
+<h3>Creating a list of artists<a class="headerlink" href="#creating-a-list-of-artists" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Now that we have a list of the filepaths for all the images we want to plot and axes to plot them on, we can use <code class="docutils literal notranslate"><span class="pre">imshow</span></code> to plot each image and save the resulting artist object to a list.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">ims</span> <span class="o">=</span> <span class="p">[[</span><span class="n">ax</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">im_dir</span> <span class="o">+</span> <span class="n">im_path</span><span class="p">),</span> <span class="n">animated</span><span class="o">=</span><span class="kc">True</span><span class="p">)]</span> <span class="k">for</span> <span class="n">im_path</span> <span class="ow">in</span> <span class="n">im_paths</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>A couple of things to note here:</p>
+<ul class="simple">
+<li><p>You may notice that we’re using list generation to create our final list, <code class="docutils literal notranslate"><span class="pre">ims</span></code>. But what might not be obvious is that we’re actually making a list of lists. Each created <code class="docutils literal notranslate"><span class="pre">implot</span></code> object is put into its own one-item list, and then all of those lists are used to create <code class="docutils literal notranslate"><span class="pre">ims</span></code>. This is because <code class="docutils literal notranslate"><span class="pre">ArtistAnimation</span></code> expects a list of lists, where each inner list is a list of artists to be plotted in a single frame.</p></li>
+<li><p>We’re using a kwarg you may not have seen before using <code class="docutils literal notranslate"><span class="pre">imshow</span></code>: <code class="docutils literal notranslate"><span class="pre">animated=True</span></code>. This allows the artist to only be drawn when called as part of an animation. This is a kwarg that is common to all artist objects.</p></li>
+</ul>
+</div>
+<div class="section" id="creating-the-artist-animation">
+<h3>Creating the artist animation<a class="headerlink" href="#creating-the-artist-animation" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Now that we’ve set up our figure and list (of lists) of artists, we can create the animation using <code class="docutils literal notranslate"><span class="pre">ArtistAnimation</span></code>.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">ani</span> <span class="o">=</span> <span class="n">animation</span><span class="o">.</span><span class="n">ArtistAnimation</span><span class="p">(</span><span class="n">fig</span><span class="p">,</span> <span class="n">ims</span><span class="p">,</span> <span class="n">interval</span><span class="o">=</span><span class="mi">150</span><span class="p">,</span> <span class="n">repeat_delay</span><span class="o">=</span><span class="mi">1000</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p><code class="docutils literal notranslate"><span class="pre">ArtistAnimation</span></code> takes two required arguments:</p>
+<ul class="simple">
+<li><p>the figure to plot on (<code class="docutils literal notranslate"><span class="pre">fig</span></code> in our case) and</p></li>
+<li><p>the list of pre-created artist objects (<code class="docutils literal notranslate"><span class="pre">ims</span></code>) to plot.</p></li>
+</ul>
+<p>We’ve also provided a few optional arguments:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">interval</span></code>: The time between frames in milliseconds. We’ve set this to 150 milliseconds, or 0.15 seconds.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">repeat_delay</span></code>: The time in milliseconds to wait before repeating the animation. We’ve set this to 1000 milliseconds, or 1 second.</p></li>
+</ul>
+<p>And that’s it! We’ve created an animation in <code class="docutils literal notranslate"><span class="pre">matplotlib</span></code> using artist animation. Let’s take a look at it.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">ani</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_html">
+<link rel="stylesheet"
+href="https://maxcdn.bootstrapcdn.com/font-awesome/4.4.0/css/font-awesome.min.css">
+<script language="javascript">
+  function isInternetExplorer() {
+    ua = navigator.userAgent;
+    /* MSIE used to detect old browsers and Trident used to newer ones*/
+    return ua.indexOf("MSIE ") > -1 || ua.indexOf("Trident/") > -1;
+  }
+
+  /* Define the Animation class */
+  function Animation(frames, img_id, slider_id, interval, loop_select_id){
+    this.img_id = img_id;
+    this.slider_id = slider_id;
+    this.loop_select_id = loop_select_id;
+    this.interval = interval;
+    this.current_frame = 0;
+    this.direction = 0;
+    this.timer = null;
+    this.frames = new Array(frames.length);
+
+    for (var i=0; i<frames.length; i++)
+    {
+     this.frames[i] = new Image();
+     this.frames[i].src = frames[i];
+    }
+    var slider = document.getElementById(this.slider_id);
+    slider.max = this.frames.length - 1;
+    if (isInternetExplorer()) {
+        // switch from oninput to onchange because IE <= 11 does not conform
+        // with W3C specification. It ignores oninput and onchange behaves
+        // like oninput. In contrast, Microsoft Edge behaves correctly.
+        slider.setAttribute('onchange', slider.getAttribute('oninput'));
+        slider.setAttribute('oninput', null);
+    }
+    this.set_frame(this.current_frame);
+  }
+
+  Animation.prototype.get_loop_state = function(){
+    var button_group = document[this.loop_select_id].state;
+    for (var i = 0; i < button_group.length; i++) {
+        var button = button_group[i];
+        if (button.checked) {
+            return button.value;
+        }
+    }
+    return undefined;
+  }
+
+  Animation.prototype.set_frame = function(frame){
+    this.current_frame = frame;
+    document.getElementById(this.img_id).src =
+            this.frames[this.current_frame].src;
+    document.getElementById(this.slider_id).value = this.current_frame;
+  }
+
+  Animation.prototype.next_frame = function()
+  {
+    this.set_frame(Math.min(this.frames.length - 1, this.current_frame + 1));
+  }
+
+  Animation.prototype.previous_frame = function()
+  {
+    this.set_frame(Math.max(0, this.current_frame - 1));
+  }
+
+  Animation.prototype.first_frame = function()
+  {
+    this.set_frame(0);
+  }
+
+  Animation.prototype.last_frame = function()
+  {
+    this.set_frame(this.frames.length - 1);
+  }
+
+  Animation.prototype.slower = function()
+  {
+    this.interval /= 0.7;
+    if(this.direction > 0){this.play_animation();}
+    else if(this.direction < 0){this.reverse_animation();}
+  }
+
+  Animation.prototype.faster = function()
+  {
+    this.interval *= 0.7;
+    if(this.direction > 0){this.play_animation();}
+    else if(this.direction < 0){this.reverse_animation();}
+  }
+
+  Animation.prototype.anim_step_forward = function()
+  {
+    this.current_frame += 1;
+    if(this.current_frame < this.frames.length){
+      this.set_frame(this.current_frame);
+    }else{
+      var loop_state = this.get_loop_state();
+      if(loop_state == "loop"){
+        this.first_frame();
+      }else if(loop_state == "reflect"){
+        this.last_frame();
+        this.reverse_animation();
+      }else{
+        this.pause_animation();
+        this.last_frame();
+      }
+    }
+  }
+
+  Animation.prototype.anim_step_reverse = function()
+  {
+    this.current_frame -= 1;
+    if(this.current_frame >= 0){
+      this.set_frame(this.current_frame);
+    }else{
+      var loop_state = this.get_loop_state();
+      if(loop_state == "loop"){
+        this.last_frame();
+      }else if(loop_state == "reflect"){
+        this.first_frame();
+        this.play_animation();
+      }else{
+        this.pause_animation();
+        this.first_frame();
+      }
+    }
+  }
+
+  Animation.prototype.pause_animation = function()
+  {
+    this.direction = 0;
+    if (this.timer){
+      clearInterval(this.timer);
+      this.timer = null;
+    }
+  }
+
+  Animation.prototype.play_animation = function()
+  {
+    this.pause_animation();
+    this.direction = 1;
+    var t = this;
+    if (!this.timer) this.timer = setInterval(function() {
+        t.anim_step_forward();
+    }, this.interval);
+  }
+
+  Animation.prototype.reverse_animation = function()
+  {
+    this.pause_animation();
+    this.direction = -1;
+    var t = this;
+    if (!this.timer) this.timer = setInterval(function() {
+        t.anim_step_reverse();
+    }, this.interval);
+  }
+</script>
+
+<style>
+.animation {
+    display: inline-block;
+    text-align: center;
+}
+input[type=range].anim-slider {
+    width: 374px;
+    margin-left: auto;
+    margin-right: auto;
+}
+.anim-buttons {
+    margin: 8px 0px;
+}
+.anim-buttons button {
+    padding: 0;
+    width: 36px;
+}
+.anim-state label {
+    margin-right: 8px;
+}
+.anim-state input {
+    margin: 0;
+    vertical-align: middle;
+}
+</style>
+
+<div class="animation">
+  <img id="_anim_img3d34c82c42514d4291b100881364a599">
+  <div class="anim-controls">
+    <input id="_anim_slider3d34c82c42514d4291b100881364a599" type="range" class="anim-slider"
+           name="points" min="0" max="1" step="1" value="0"
+           oninput="anim3d34c82c42514d4291b100881364a599.set_frame(parseInt(this.value));">
+    <div class="anim-buttons">
+      <button title="Decrease speed" aria-label="Decrease speed" onclick="anim3d34c82c42514d4291b100881364a599.slower()">
+          <i class="fa fa-minus"></i></button>
+      <button title="First frame" aria-label="First frame" onclick="anim3d34c82c42514d4291b100881364a599.first_frame()">
+        <i class="fa fa-fast-backward"></i></button>
+      <button title="Previous frame" aria-label="Previous frame" onclick="anim3d34c82c42514d4291b100881364a599.previous_frame()">
+          <i class="fa fa-step-backward"></i></button>
+      <button title="Play backwards" aria-label="Play backwards" onclick="anim3d34c82c42514d4291b100881364a599.reverse_animation()">
+          <i class="fa fa-play fa-flip-horizontal"></i></button>
+      <button title="Pause" aria-label="Pause" onclick="anim3d34c82c42514d4291b100881364a599.pause_animation()">
+          <i class="fa fa-pause"></i></button>
+      <button title="Play" aria-label="Play" onclick="anim3d34c82c42514d4291b100881364a599.play_animation()">
+          <i class="fa fa-play"></i></button>
+      <button title="Next frame" aria-label="Next frame" onclick="anim3d34c82c42514d4291b100881364a599.next_frame()">
+          <i class="fa fa-step-forward"></i></button>
+      <button title="Last frame" aria-label="Last frame" onclick="anim3d34c82c42514d4291b100881364a599.last_frame()">
+          <i class="fa fa-fast-forward"></i></button>
+      <button title="Increase speed" aria-label="Increase speed" onclick="anim3d34c82c42514d4291b100881364a599.faster()">
+          <i class="fa fa-plus"></i></button>
+    </div>
+    <form title="Repetition mode" aria-label="Repetition mode" action="#n" name="_anim_loop_select3d34c82c42514d4291b100881364a599"
+          class="anim-state">
+      <input type="radio" name="state" value="once" id="_anim_radio1_3d34c82c42514d4291b100881364a599"
+             >
+      <label for="_anim_radio1_3d34c82c42514d4291b100881364a599">Once</label>
+      <input type="radio" name="state" value="loop" id="_anim_radio2_3d34c82c42514d4291b100881364a599"
+             checked>
+      <label for="_anim_radio2_3d34c82c42514d4291b100881364a599">Loop</label>
+      <input type="radio" name="state" value="reflect" id="_anim_radio3_3d34c82c42514d4291b100881364a599"
+             >
+      <label for="_anim_radio3_3d34c82c42514d4291b100881364a599">Reflect</label>
+    </form>
+  </div>
+</div>
+
+
+<script language="javascript">
+  /* Instantiate the Animation class. */
+  /* The IDs given should match those used in the template above. */
+  (function() {
+    var img_id = "_anim_img3d34c82c42514d4291b100881364a599";
+    var slider_id = "_anim_slider3d34c82c42514d4291b100881364a599";
+    var loop_select_id = "_anim_loop_select3d34c82c42514d4291b100881364a599";
+    var frames = new Array(24);
+    
+  frames[0] = "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAaAAAAD6CAYAAADnVJN8AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90\
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+"
+
+
+    /* set a timeout to make sure all the above elements are created before
+       the object is initialized. */
+    setTimeout(function() {
+        anim3d34c82c42514d4291b100881364a599 = new Animation(frames, img_id, slider_id, 149.0,
+                                 loop_select_id);
+    }, 0);
+  })()
+</script>
+</div></div>
+</div>
+</div>
+<div class="section" id="saving-the-animation">
+<h3>Saving the animation<a class="headerlink" href="#saving-the-animation" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>If displaying your animation in a jupyter notebook was your end goal, then you’re done! But if you want to save your animation to a file for later use, you can use the <code class="docutils literal notranslate"><span class="pre">save</span></code> method of the <code class="docutils literal notranslate"><span class="pre">ArtistAnimation</span></code> object.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">ani</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="s2">&quot;goes16_hr.gif&quot;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>MovieWriter ffmpeg unavailable; using Pillow instead.
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="section" id="function-animation">
+<h2>Function animation<a class="headerlink" href="#function-animation" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>The steps for function animation in <code class="docutils literal notranslate"><span class="pre">matplotlib</span></code> are:</p>
+<ol class="arabic simple">
+<li><p>Set up all the artists that will be used in the animation and the initial frame of the animation</p></li>
+<li><p>Create a function that updates the data in the plot to create each frame of the animation</p></li>
+<li><p>Create a <code class="docutils literal notranslate"><span class="pre">FuncAnimation</span></code> object with the the previously created elements</p></li>
+<li><p>Display and save the animation</p></li>
+</ol>
+<div class="section" id="id1">
+<h3>Data<a class="headerlink" href="#id1" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>For this example, we’re going to be looking at sample surface temperature data from our sample data repository, <a class="reference external" href="https://github.com/NCAR/geocat-datafiles">geocat-datafiles</a>.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">ds</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">open_dataset</span><span class="p">(</span><span class="n">gdf</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;netcdf_files/meccatemp.cdf&quot;</span><span class="p">))</span>
+<span class="n">t</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">t</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Downloading file &#39;netcdf_files/meccatemp.cdf&#39; from &#39;https://github.com/NCAR/GeoCAT-datafiles/raw/main/netcdf_files/meccatemp.cdf&#39; to &#39;/home/runner/.cache/geocat&#39;.
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="section" id="id2">
+<h3>Creating the figure<a class="headerlink" href="#id2" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>The first step in creating a function animation is to create the figure that will be used to plot the animation.</p>
+<p>Since we’re working with data represented by latitude and longitude coordinates, we’re going to set up our figure and axes using <a class="reference external" href="https://scitools.org.uk/cartopy/docs/latest/"><code class="docutils literal notranslate"><span class="pre">cartopy</span></code></a>.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Set up Axes with Cartopy Projection</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">axes</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">())</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">coastlines</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;cartopy.mpl.feature_artist.FeatureArtist at 0x7f4c74d46390&gt;
+</pre></div>
+</div>
+<img alt="../_images/db258116caa8f292a548ae66e6f698672d21ef951f4618782fa7f5aad386ccf4.png" src="../_images/db258116caa8f292a548ae66e6f698672d21ef951f4618782fa7f5aad386ccf4.png" />
+</div>
+</div>
+<p>Just like before, we used <code class="docutils literal notranslate"><span class="pre">plt.figure()</span></code> to create the figure. Then, we used <code class="docutils literal notranslate"><span class="pre">plt.axes</span></code> with the <code class="docutils literal notranslate"><span class="pre">projection</span></code> kwarg set to <code class="docutils literal notranslate"><span class="pre">ccrs.PlateCarree()</span></code> to create the axes object. This sets up the axes to use the <a class="reference external" href="https://scitools.org.uk/cartopy/docs/latest/reference/projections.html#cartopy.crs.PlateCarree">Plate Carree</a> projection.</p>
+<p>Finally, we used <code class="docutils literal notranslate"><span class="pre">ax.coastlines()</span></code> to add coastlines to the plot.</p>
+</div>
+<div class="section" id="creating-the-initial-frame">
+<h3>Creating the initial frame<a class="headerlink" href="#creating-the-initial-frame" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Now that we have our figure and axes set up, we can plot the initial frame of our animation.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">vmin</span> <span class="o">=</span> <span class="n">t</span><span class="o">.</span><span class="n">min</span><span class="p">()</span>
+<span class="n">vmax</span> <span class="o">=</span> <span class="n">t</span><span class="o">.</span><span class="n">max</span><span class="p">()</span>
+<span class="n">levels</span> <span class="o">=</span> <span class="mi">30</span>
+
+<span class="c1"># create initial plot that we will update</span>
+<span class="n">t</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:]</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">contourf</span><span class="p">(</span>
+    <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span>
+    <span class="n">transform</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span>
+    <span class="n">vmin</span><span class="o">=</span><span class="n">vmin</span><span class="p">,</span>
+    <span class="n">vmax</span><span class="o">=</span><span class="n">vmax</span><span class="p">,</span>
+    <span class="n">levels</span><span class="o">=</span><span class="n">levels</span><span class="p">,</span>
+    <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;inferno&quot;</span><span class="p">,</span>
+    <span class="n">cbar_kwargs</span><span class="o">=</span><span class="p">{</span>
+        <span class="s2">&quot;location&quot;</span><span class="p">:</span> <span class="s2">&quot;bottom&quot;</span><span class="p">,</span>
+    <span class="p">},</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;cartopy.mpl.contour.GeoContourSet at 0x7f4c7407fb90&gt;
+</pre></div>
+</div>
+</div>
+</div>
+<p>In addition to plotting the initial frame, we also set up the colorbar. In order for every frame of the animation to use the same colorbar, we need to create the colorbar before we create the animation.</p>
+<p>The <code class="docutils literal notranslate"><span class="pre">vmin</span></code> and <code class="docutils literal notranslate"><span class="pre">vmax</span></code> arguments of <code class="docutils literal notranslate"><span class="pre">plt.contourf</span></code> are set to the minimum and maximum values of the data, instead of each individual time slice. This ensures that the colorbar remains consistent across all frames of the animation. We also set a <code class="docutils literal notranslate"><span class="pre">levels</span></code> kwarg to similarly ensure that the contour levels are consistent, as well.</p>
+</div>
+<div class="section" id="creating-the-update-function">
+<h3>Creating the update function<a class="headerlink" href="#creating-the-update-function" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Now that we have our initial frame, we need to create an update function that will update the data in the plot to create each frame of the animation. This function will be passed in as an argument to <code class="docutils literal notranslate"><span class="pre">FuncAnimation</span></code>, which expects a function that takes in a single argument, <code class="docutils literal notranslate"><span class="pre">i</span></code>, which is the frame number of the animation. The argument <code class="docutils literal notranslate"><span class="pre">i</span></code> is used to index into the data to get the data for the current frame to plot.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># create function to update plot</span>
+<span class="k">def</span> <span class="nf">animate</span><span class="p">(</span><span class="n">i</span><span class="p">):</span>
+    <span class="c1"># Plot the new frame</span>
+    <span class="n">t</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:]</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">contourf</span><span class="p">(</span>
+        <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span>
+        <span class="n">transform</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span>
+        <span class="n">vmin</span><span class="o">=</span><span class="n">vmin</span><span class="p">,</span>
+        <span class="n">vmax</span><span class="o">=</span><span class="n">vmax</span><span class="p">,</span>
+        <span class="n">levels</span><span class="o">=</span><span class="n">levels</span><span class="p">,</span>
+        <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;inferno&quot;</span><span class="p">,</span>
+        <span class="n">add_colorbar</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>Note here that that the only differences from our initial frame set up are the indexing on the data to plot and the <code class="docutils literal notranslate"><span class="pre">add_colorbar</span> <span class="pre">=</span> <span class="pre">False</span></code> kwarg in <code class="docutils literal notranslate"><span class="pre">plt.contourf</span></code>. This is because we’ve already created a colorbar in the initial frame that we want to use for all frames of the animation.</p>
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>You can accidentally create some funny looking animations if you forget the <code class="docutils literal notranslate"><span class="pre">add_colorbar</span> <span class="pre">=</span> <span class="pre">False</span></code> kwarg in the update function.</p>
+<a class="reference internal image-reference" href="../_images/animation_colorbar_oops.gif"><img alt="../_images/animation_colorbar_oops.gif" class="align-center" src="../_images/animation_colorbar_oops.gif" style="width: 300px;" /></a>
+</div>
+</div>
+<div class="section" id="creating-the-animation">
+<h3>Creating the animation<a class="headerlink" href="#creating-the-animation" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Now it’s time to create the animation using <code class="docutils literal notranslate"><span class="pre">FuncAnimation</span></code>.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">ani</span> <span class="o">=</span> <span class="n">animation</span><span class="o">.</span><span class="n">FuncAnimation</span><span class="p">(</span><span class="n">fig</span><span class="p">,</span> <span class="n">animate</span><span class="p">,</span> <span class="n">frames</span><span class="o">=</span><span class="nb">len</span><span class="p">(</span><span class="n">t</span><span class="p">),</span> <span class="n">interval</span><span class="o">=</span><span class="mi">150</span><span class="p">,</span> <span class="n">repeat_delay</span><span class="o">=</span><span class="mi">1000</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>This function looks similar to <code class="docutils literal notranslate"><span class="pre">ArtistAnimation</span></code>, but with one main difference: instead of a list of artists to plot, <code class="docutils literal notranslate"><span class="pre">FuncAnimation</span></code> takes the update function we created as the second argument. Also, we’ve provided the <code class="docutils literal notranslate"><span class="pre">frames</span></code> kwarg, which is the number of times the update function will be called. We’ve set it to the number of time slices in the data to make sure the FuncAnimation object does not try to go outside the bounds of the data.</p>
+<p>And that’s it! We’ve created a function animation in <code class="docutils literal notranslate"><span class="pre">matplotlib</span></code>. Let’s take a look at it.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">ani</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_html">
+<link rel="stylesheet"
+href="https://maxcdn.bootstrapcdn.com/font-awesome/4.4.0/css/font-awesome.min.css">
+<script language="javascript">
+  function isInternetExplorer() {
+    ua = navigator.userAgent;
+    /* MSIE used to detect old browsers and Trident used to newer ones*/
+    return ua.indexOf("MSIE ") > -1 || ua.indexOf("Trident/") > -1;
+  }
+
+  /* Define the Animation class */
+  function Animation(frames, img_id, slider_id, interval, loop_select_id){
+    this.img_id = img_id;
+    this.slider_id = slider_id;
+    this.loop_select_id = loop_select_id;
+    this.interval = interval;
+    this.current_frame = 0;
+    this.direction = 0;
+    this.timer = null;
+    this.frames = new Array(frames.length);
+
+    for (var i=0; i<frames.length; i++)
+    {
+     this.frames[i] = new Image();
+     this.frames[i].src = frames[i];
+    }
+    var slider = document.getElementById(this.slider_id);
+    slider.max = this.frames.length - 1;
+    if (isInternetExplorer()) {
+        // switch from oninput to onchange because IE <= 11 does not conform
+        // with W3C specification. It ignores oninput and onchange behaves
+        // like oninput. In contrast, Microsoft Edge behaves correctly.
+        slider.setAttribute('onchange', slider.getAttribute('oninput'));
+        slider.setAttribute('oninput', null);
+    }
+    this.set_frame(this.current_frame);
+  }
+
+  Animation.prototype.get_loop_state = function(){
+    var button_group = document[this.loop_select_id].state;
+    for (var i = 0; i < button_group.length; i++) {
+        var button = button_group[i];
+        if (button.checked) {
+            return button.value;
+        }
+    }
+    return undefined;
+  }
+
+  Animation.prototype.set_frame = function(frame){
+    this.current_frame = frame;
+    document.getElementById(this.img_id).src =
+            this.frames[this.current_frame].src;
+    document.getElementById(this.slider_id).value = this.current_frame;
+  }
+
+  Animation.prototype.next_frame = function()
+  {
+    this.set_frame(Math.min(this.frames.length - 1, this.current_frame + 1));
+  }
+
+  Animation.prototype.previous_frame = function()
+  {
+    this.set_frame(Math.max(0, this.current_frame - 1));
+  }
+
+  Animation.prototype.first_frame = function()
+  {
+    this.set_frame(0);
+  }
+
+  Animation.prototype.last_frame = function()
+  {
+    this.set_frame(this.frames.length - 1);
+  }
+
+  Animation.prototype.slower = function()
+  {
+    this.interval /= 0.7;
+    if(this.direction > 0){this.play_animation();}
+    else if(this.direction < 0){this.reverse_animation();}
+  }
+
+  Animation.prototype.faster = function()
+  {
+    this.interval *= 0.7;
+    if(this.direction > 0){this.play_animation();}
+    else if(this.direction < 0){this.reverse_animation();}
+  }
+
+  Animation.prototype.anim_step_forward = function()
+  {
+    this.current_frame += 1;
+    if(this.current_frame < this.frames.length){
+      this.set_frame(this.current_frame);
+    }else{
+      var loop_state = this.get_loop_state();
+      if(loop_state == "loop"){
+        this.first_frame();
+      }else if(loop_state == "reflect"){
+        this.last_frame();
+        this.reverse_animation();
+      }else{
+        this.pause_animation();
+        this.last_frame();
+      }
+    }
+  }
+
+  Animation.prototype.anim_step_reverse = function()
+  {
+    this.current_frame -= 1;
+    if(this.current_frame >= 0){
+      this.set_frame(this.current_frame);
+    }else{
+      var loop_state = this.get_loop_state();
+      if(loop_state == "loop"){
+        this.last_frame();
+      }else if(loop_state == "reflect"){
+        this.first_frame();
+        this.play_animation();
+      }else{
+        this.pause_animation();
+        this.first_frame();
+      }
+    }
+  }
+
+  Animation.prototype.pause_animation = function()
+  {
+    this.direction = 0;
+    if (this.timer){
+      clearInterval(this.timer);
+      this.timer = null;
+    }
+  }
+
+  Animation.prototype.play_animation = function()
+  {
+    this.pause_animation();
+    this.direction = 1;
+    var t = this;
+    if (!this.timer) this.timer = setInterval(function() {
+        t.anim_step_forward();
+    }, this.interval);
+  }
+
+  Animation.prototype.reverse_animation = function()
+  {
+    this.pause_animation();
+    this.direction = -1;
+    var t = this;
+    if (!this.timer) this.timer = setInterval(function() {
+        t.anim_step_reverse();
+    }, this.interval);
+  }
+</script>
+
+<style>
+.animation {
+    display: inline-block;
+    text-align: center;
+}
+input[type=range].anim-slider {
+    width: 374px;
+    margin-left: auto;
+    margin-right: auto;
+}
+.anim-buttons {
+    margin: 8px 0px;
+}
+.anim-buttons button {
+    padding: 0;
+    width: 36px;
+}
+.anim-state label {
+    margin-right: 8px;
+}
+.anim-state input {
+    margin: 0;
+    vertical-align: middle;
+}
+</style>
+
+<div class="animation">
+  <img id="_anim_imge3b0701960974a3c99df61974de080b2">
+  <div class="anim-controls">
+    <input id="_anim_slidere3b0701960974a3c99df61974de080b2" type="range" class="anim-slider"
+           name="points" min="0" max="1" step="1" value="0"
+           oninput="anime3b0701960974a3c99df61974de080b2.set_frame(parseInt(this.value));">
+    <div class="anim-buttons">
+      <button title="Decrease speed" aria-label="Decrease speed" onclick="anime3b0701960974a3c99df61974de080b2.slower()">
+          <i class="fa fa-minus"></i></button>
+      <button title="First frame" aria-label="First frame" onclick="anime3b0701960974a3c99df61974de080b2.first_frame()">
+        <i class="fa fa-fast-backward"></i></button>
+      <button title="Previous frame" aria-label="Previous frame" onclick="anime3b0701960974a3c99df61974de080b2.previous_frame()">
+          <i class="fa fa-step-backward"></i></button>
+      <button title="Play backwards" aria-label="Play backwards" onclick="anime3b0701960974a3c99df61974de080b2.reverse_animation()">
+          <i class="fa fa-play fa-flip-horizontal"></i></button>
+      <button title="Pause" aria-label="Pause" onclick="anime3b0701960974a3c99df61974de080b2.pause_animation()">
+          <i class="fa fa-pause"></i></button>
+      <button title="Play" aria-label="Play" onclick="anime3b0701960974a3c99df61974de080b2.play_animation()">
+          <i class="fa fa-play"></i></button>
+      <button title="Next frame" aria-label="Next frame" onclick="anime3b0701960974a3c99df61974de080b2.next_frame()">
+          <i class="fa fa-step-forward"></i></button>
+      <button title="Last frame" aria-label="Last frame" onclick="anime3b0701960974a3c99df61974de080b2.last_frame()">
+          <i class="fa fa-fast-forward"></i></button>
+      <button title="Increase speed" aria-label="Increase speed" onclick="anime3b0701960974a3c99df61974de080b2.faster()">
+          <i class="fa fa-plus"></i></button>
+    </div>
+    <form title="Repetition mode" aria-label="Repetition mode" action="#n" name="_anim_loop_selecte3b0701960974a3c99df61974de080b2"
+          class="anim-state">
+      <input type="radio" name="state" value="once" id="_anim_radio1_e3b0701960974a3c99df61974de080b2"
+             >
+      <label for="_anim_radio1_e3b0701960974a3c99df61974de080b2">Once</label>
+      <input type="radio" name="state" value="loop" id="_anim_radio2_e3b0701960974a3c99df61974de080b2"
+             checked>
+      <label for="_anim_radio2_e3b0701960974a3c99df61974de080b2">Loop</label>
+      <input type="radio" name="state" value="reflect" id="_anim_radio3_e3b0701960974a3c99df61974de080b2"
+             >
+      <label for="_anim_radio3_e3b0701960974a3c99df61974de080b2">Reflect</label>
+    </form>
+  </div>
+</div>
+
+
+<script language="javascript">
+  /* Instantiate the Animation class. */
+  /* The IDs given should match those used in the template above. */
+  (function() {
+    var img_id = "_anim_imge3b0701960974a3c99df61974de080b2";
+    var slider_id = "_anim_slidere3b0701960974a3c99df61974de080b2";
+    var loop_select_id = "_anim_loop_selecte3b0701960974a3c99df61974de080b2";
+    var frames = new Array(31);
+    
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+"
+
+
+    /* set a timeout to make sure all the above elements are created before
+       the object is initialized. */
+    setTimeout(function() {
+        anime3b0701960974a3c99df61974de080b2 = new Animation(frames, img_id, slider_id, 149.0,
+                                 loop_select_id);
+    }, 0);
+  })()
+</script>
+</div></div>
+</div>
+</div>
+<div class="section" id="id3">
+<h3>Saving the animation<a class="headerlink" href="#id3" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Just like with <code class="docutils literal notranslate"><span class="pre">ArtistAnimation</span></code>, we can save the animation using the <code class="docutils literal notranslate"><span class="pre">save</span></code> method of the <code class="docutils literal notranslate"><span class="pre">FuncAnimation</span></code> object.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">ani</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="s2">&quot;temp.gif&quot;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>MovieWriter ffmpeg unavailable; using Pillow instead.
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="section" id="summary">
+<h2>Summary<a class="headerlink" href="#summary" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>Creating animations in <code class="docutils literal notranslate"><span class="pre">matplotlib</span></code> might seem intimidating, but is easier when you know the options and purpose of each method. These visualizations can be a powerful tool to display and understand time-dependent data.</p>
+<div class="section" id="whats-next">
+<h3>What’s next?<a class="headerlink" href="#whats-next" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>In the final section of this cookbook, let’s look at <a class="reference internal" href="8-interactive-holoviz-mpas.html"><span class="doc std std-doc">interactive plotting with Holoviz</span></a> tools.</p>
+</div>
+</div>
+<div class="section" id="resources-and-references">
+<h2>Resources and references<a class="headerlink" href="#resources-and-references" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<ul class="simple">
+<li><p><a class="reference external" href="https://matplotlib.org/stable/api/animation_api.html"><code class="docutils literal notranslate"><span class="pre">matplotlib</span></code> animation documentation</a></p></li>
+<li><p><a class="reference external" href="https://matplotlib.org/stable/api/_as_gen/matplotlib.animation.FuncAnimation.html"><code class="docutils literal notranslate"><span class="pre">FuncAnimation</span></code> documentation</a></p></li>
+<li><p><a class="reference external" href="https://matplotlib.org/stable/api/_as_gen/matplotlib.animation.ArtistAnimation.html"><code class="docutils literal notranslate"><span class="pre">ArtistAnimation</span></code> documentation</a></p></li>
+<li><p><a class="reference external" href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.imshow.html"><code class="docutils literal notranslate"><span class="pre">imshow</span></code> documentation</a></p></li>
+<li><p><a class="reference external" href="https://www.star.nesdis.noaa.gov/GOES/documents/QuickGuide_CIRA_Geocolor_20171019.pdf">GeoColor</a> fact sheet</p></li>
+<li><p><a class="reference external" href="https://eospso.nasa.gov/missions/geostationary-operational-environmental-satellite-16">GOES-16</a> mission page</p></li>
+<li><p><a class="reference external" href="https://www.star.nesdis.noaa.gov/GOES/index.php">GOES Image Viewer</a></p></li>
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+   Overview
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+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#prerequisites">
+     Prerequisites
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+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#imports">
+   Imports
+  </a>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#mpas-preprocessing">
+   MPAS Preprocessing
+  </a>
+  <ul class="nav section-nav flex-column">
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#utility-functions">
+     Utility functions
+    </a>
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+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#load-data-and-coordinates">
+     Load data and coordinates
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#generate-triangular-mesh-using-mpas-connectivity-information">
+     Generate triangular mesh using MPAS connectivity information
+    </a>
+    <ul class="nav section-nav flex-column">
+     <li class="toc-h4 nav-item toc-entry">
+      <a class="reference internal nav-link" href="#primal-mesh">
+       Primal mesh
+      </a>
+     </li>
+     <li class="toc-h4 nav-item toc-entry">
+      <a class="reference internal nav-link" href="#dual-mesh">
+       Dual mesh
+      </a>
+     </li>
+    </ul>
+   </li>
+  </ul>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#interactive-holoviz-plots">
+   Interactive HoloViz Plots
+  </a>
+  <ul class="nav section-nav flex-column">
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#holoviews-options-system-opts">
+     Holoviews’ options system:
+     <code class="docutils literal notranslate">
+      <span class="pre">
+       opts
+      </span>
+     </code>
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#pan-zoom">
+     Pan &amp; zoom
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#hover">
+     Hover
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#dynamic-plot">
+     Dynamic plot
+    </a>
+   </li>
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#further-interactivity-considerations">
+     Further interactivity considerations
+    </a>
+   </li>
+  </ul>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#summary">
+   Summary
+  </a>
+  <ul class="nav section-nav flex-column">
+   <li class="toc-h3 nav-item toc-entry">
+    <a class="reference internal nav-link" href="#whats-next">
+     What’s next?
+    </a>
+   </li>
+  </ul>
+ </li>
+ <li class="toc-h2 nav-item toc-entry">
+  <a class="reference internal nav-link" href="#resources-and-references">
+   Resources and references
+  </a>
+ </li>
+</ul>
+
+            </nav>
+        </div>
+    </div>
+</div>
+          <div id="main-content" class="row">
+            <div class="col-12 col-md-9 pl-md-3 pr-md-0">
+              
+              <div>
+                
+  <div class="tex2jax_ignore mathjax_ignore section" id="holoviz-visualization">
+<h1>HoloViz Visualization<a class="headerlink" href="#holoviz-visualization" title="Permalink to this headline"><i class="fas fa-link"></i></a></h1>
+<div class="section" id="overview">
+<h2>Overview<a class="headerlink" href="#overview" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>The ability to dynamically render, pan, zoom, animate and perform other dynamic operations on data can provide many benefits, such as providing greater data fidelity within the same plot. <a class="reference external" href="https://holoviz.org/">HoloViz</a> provides high-level tools (such as Holoviews, Datashader, Geoviews, etc.) to visualize even the very large datasets efficiently.</p>
+<p>This notebook explores interactively plotting using an unstructured grid dataset in the <a class="reference external" href="https://mpas-dev.github.io/">MPAS</a> format with Holoviews, Datashader, and Geoviews.</p>
+<div class="admonition attention">
+<p class="admonition-title">Attention</p>
+<p>If you are in this notebook to actually learn about and/or visualize unstructured grids, we highly recommend checking out the <a class="reference external" href="https://projectpythia.org/unstructured-grid-viz-cookbook/README.html">UXarray Cookbook</a> that is a comprehensive showcase of workflows &amp; techniques for visualizing Unstructured Grids using <a class="reference external" href="https://uxarray.readthedocs.io/">UXarray</a>. UXarray is a Python package that:</p>
+<ul class="simple">
+<li><p>Provides Xarray-styled functionality for working with unstructured grids built around the UGRID conventions</p></li>
+<li><p>Supports not only MPAS but also several other formats such as UGRID, SCRIP, and Exodus</p></li>
+<li><p>Enables significant data analysis and visualization functionality for unstructured grid research, which makes working with unstructured grids a breeze</p>
+<ul>
+<li><p>e.g. UXarray internally handles majority of the utility functions and data preparation steps mentioned throughout this notebook and provides user with convenient visualization and analysis functions</p></li>
+</ul>
+</li>
+</ul>
+</div>
+<p>This notebook demonstrates:</p>
+<ol class="arabic simple">
+<li><p>Use of HoloViz tools for interactive plotting</p></li>
+<li><p>Different interactivity schemes</p></li>
+<li><p>Use of the MPAS format’s connectivity information to render data on the native grid (hence avoiding costly Delaunay triangulation)</p></li>
+</ol>
+<p>The flow of the content is as follows:</p>
+<ol class="arabic simple">
+<li><p>Package imports</p></li>
+<li><p>MPAS preprocessing for visualization</p>
+<ul class="simple">
+<li><p>Utility functions</p></li>
+<li><p>Data loading</p></li>
+<li><p>Triangular mesh generation using MPAS’s cell connectivity array from the primal mesh</p></li>
+</ul>
+</li>
+<li><p>Interactive Holoviz Plots</p></li>
+</ol>
+<div class="section" id="prerequisites">
+<h3>Prerequisites<a class="headerlink" href="#prerequisites" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<table class="colwidths-auto table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Concepts</p></th>
+<th class="head"><p>Importance</p></th>
+<th class="head"><p>Notes</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p><a class="reference external" href="https://holoviews.org/">Holoviews</a></p></td>
+<td><p>Necessary</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference external" href="https://geoviews.org/">Geoviews</a></p></td>
+<td><p>Useful</p></td>
+<td><p>Not necessary for plotting but useful for adding features</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference external" href="https://matplotlib.org/">Matplotlib</a></p></td>
+<td><p>Useful</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference external" href="https://mpas-dev.github.io/">MPAS</a></p></td>
+<td><p>Useful</p></td>
+<td><p>Not necessary for interactive plotting but useful for understanding the data used</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference external" href="https://xarray.pydata.org/">Xarray</a></p></td>
+<td><p>Useful</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+<ul class="simple">
+<li><p><strong>Time to learn</strong>: 60 minutes</p></li>
+</ul>
+</div>
+</div>
+<hr class="docutils" />
+<div class="section" id="imports">
+<h2>Imports<a class="headerlink" href="#imports" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">math</span> <span class="k">as</span> <span class="nn">math</span>
+
+<span class="kn">import</span> <span class="nn">cartopy.crs</span> <span class="k">as</span> <span class="nn">ccrs</span>
+<span class="kn">import</span> <span class="nn">dask.dataframe</span> <span class="k">as</span> <span class="nn">dd</span>
+<span class="kn">import</span> <span class="nn">geocat.datafiles</span> <span class="k">as</span> <span class="nn">gdf</span>  <span class="c1"># Only for reading-in datasets</span>
+<span class="kn">import</span> <span class="nn">geoviews.feature</span> <span class="k">as</span> <span class="nn">gf</span>  <span class="c1"># Only for displaying coastlines</span>
+<span class="kn">import</span> <span class="nn">holoviews</span> <span class="k">as</span> <span class="nn">hv</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">from</span> <span class="nn">holoviews</span> <span class="kn">import</span> <span class="n">opts</span>
+<span class="kn">from</span> <span class="nn">holoviews.operation.datashader</span> <span class="kn">import</span> <span class="n">rasterize</span> <span class="k">as</span> <span class="n">hds_rasterize</span>
+<span class="kn">from</span> <span class="nn">numba</span> <span class="kn">import</span> <span class="n">jit</span>
+<span class="kn">from</span> <span class="nn">xarray</span> <span class="kn">import</span> <span class="n">open_mfdataset</span>
+
+<span class="n">n_workers</span> <span class="o">=</span> <span class="mi">1</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="section" id="mpas-preprocessing">
+<h2>MPAS Preprocessing<a class="headerlink" href="#mpas-preprocessing" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>The MPAS data requires some preprocessing to get it ready for visualization such as implementation
+of a few utility functions, loading the data, and creating triangular mesh out of the data to rasterize.</p>
+<div class="section" id="utility-functions">
+<h3>Utility functions<a class="headerlink" href="#utility-functions" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">unzipMesh</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">tris</span><span class="p">,</span> <span class="n">t</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Splits a global mesh along longitude.</span>
+
+<span class="sd">    Examine the X coordinates of each triangle in &#39;tris&#39;. Return an array of &#39;tris&#39; where</span>
+<span class="sd">    only those triangles with legs whose length is less than &#39;t&#39; are returned.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    x: numpy.ndarray</span>
+<span class="sd">        x-coordinates of each triangle in &#39;tris&#39;</span>
+<span class="sd">    tris: numpy.ndarray</span>
+<span class="sd">        Triangle indices for each vertex in the MPAS file, in counter-clockwise order</span>
+<span class="sd">    t: float</span>
+<span class="sd">        Threshold value</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="k">return</span> <span class="n">tris</span><span class="p">[</span>
+        <span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">((</span><span class="n">x</span><span class="p">[</span><span class="n">tris</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">]])</span> <span class="o">-</span> <span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="n">tris</span><span class="p">[:,</span> <span class="mi">1</span><span class="p">]]))</span> <span class="o">&lt;</span> <span class="n">t</span><span class="p">)</span>
+        <span class="o">&amp;</span> <span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">((</span><span class="n">x</span><span class="p">[</span><span class="n">tris</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">]])</span> <span class="o">-</span> <span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="n">tris</span><span class="p">[:,</span> <span class="mi">2</span><span class="p">]]))</span> <span class="o">&lt;</span> <span class="n">t</span><span class="p">)</span>
+    <span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">triArea</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">tris</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Computes the signed area of a triangle.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    x: numpy.ndarray</span>
+<span class="sd">        x-coordinates of each triangle in &#39;tris&#39;</span>
+<span class="sd">    y: numpy.ndarray</span>
+<span class="sd">        y-coordinates of each triangle in &#39;tris&#39;</span>
+<span class="sd">    tris: numpy.ndarray</span>
+<span class="sd">        Triangle indices for each vertex in the MPAS file</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="k">return</span> <span class="p">((</span><span class="n">x</span><span class="p">[</span><span class="n">tris</span><span class="p">[:,</span> <span class="mi">1</span><span class="p">]]</span> <span class="o">-</span> <span class="n">x</span><span class="p">[</span><span class="n">tris</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">]])</span> <span class="o">*</span> <span class="p">(</span><span class="n">y</span><span class="p">[</span><span class="n">tris</span><span class="p">[:,</span> <span class="mi">2</span><span class="p">]]</span> <span class="o">-</span> <span class="n">y</span><span class="p">[</span><span class="n">tris</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">]]))</span> <span class="o">-</span> <span class="p">(</span>
+        <span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="n">tris</span><span class="p">[:,</span> <span class="mi">2</span><span class="p">]]</span> <span class="o">-</span> <span class="n">x</span><span class="p">[</span><span class="n">tris</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">]])</span> <span class="o">*</span> <span class="p">(</span><span class="n">y</span><span class="p">[</span><span class="n">tris</span><span class="p">[:,</span> <span class="mi">1</span><span class="p">]]</span> <span class="o">-</span> <span class="n">y</span><span class="p">[</span><span class="n">tris</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">]])</span>
+    <span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">orderCCW</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">tris</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Reorder triangles as necessary so they all have counter clockwise winding order.</span>
+<span class="sd">    CCW is what Datashader and MPL require.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    x: numpy.ndarray</span>
+<span class="sd">        x-coordinates of each triangle in &#39;tris&#39;</span>
+<span class="sd">    y: numpy.ndarray</span>
+<span class="sd">        y-coordinates of each triangle in &#39;tris&#39;</span>
+<span class="sd">    tris: numpy.ndarray</span>
+<span class="sd">        Triangle indices for each vertex in the MPAS file</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">tris</span><span class="p">[</span><span class="n">triArea</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">tris</span><span class="p">)</span> <span class="o">&lt;</span> <span class="mf">0.0</span><span class="p">,</span> <span class="p">:]</span> <span class="o">=</span> <span class="n">tris</span><span class="p">[</span><span class="n">triArea</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">tris</span><span class="p">)</span> <span class="o">&lt;</span> <span class="mf">0.0</span><span class="p">,</span> <span class="p">::</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+    <span class="k">return</span> <span class="n">tris</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">createHVTriMesh</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">triangle_indices</span><span class="p">,</span> <span class="n">var</span><span class="p">,</span> <span class="n">n_workers</span><span class="o">=</span><span class="mi">1</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Create a Holoviews Triangle Mesh suitable for rendering with Datashader</span>
+
+<span class="sd">    This function returns a Holoviews TriMesh that is created from a list of coordinates, &#39;x&#39;</span>
+<span class="sd">    and &#39;y&#39;, an array of triangle indices that addresses the coordinates in &#39;x&#39; and &#39;y&#39;, and</span>
+<span class="sd">    a data variable &#39;var&#39;. The data variable&#39;s values will annotate the triangle vertices</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    x: numpy.ndarray</span>
+<span class="sd">        Projected x-coordinates of each triangle in &#39;tris&#39;</span>
+<span class="sd">    y: numpy.ndarray</span>
+<span class="sd">        Projected y-coordinates of each triangle in &#39;tris&#39;</span>
+<span class="sd">    triangle_indices: numpy.ndarray</span>
+<span class="sd">        Triangle indices for each vertex in the MPAS file, in counter-clockwise order</span>
+<span class="sd">    var: numpy.ndarray</span>
+<span class="sd">        Data variable from which the triangle vertex values are read.</span>
+<span class="sd">    n_workers: int</span>
+<span class="sd">        Number of workers, for Dask</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="c1"># Declare verts array</span>
+    <span class="n">verts</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">column_stack</span><span class="p">([</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">var</span><span class="p">])</span>
+
+    <span class="c1"># Convert to pandas</span>
+    <span class="n">verts_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">verts</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;x&quot;</span><span class="p">,</span> <span class="s2">&quot;y&quot;</span><span class="p">,</span> <span class="s2">&quot;z&quot;</span><span class="p">])</span>
+    <span class="n">tris_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">triangle_indices</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;v0&quot;</span><span class="p">,</span> <span class="s2">&quot;v1&quot;</span><span class="p">,</span> <span class="s2">&quot;v2&quot;</span><span class="p">])</span>
+
+    <span class="c1"># Convert to dask</span>
+    <span class="n">verts_ddf</span> <span class="o">=</span> <span class="n">dd</span><span class="o">.</span><span class="n">from_pandas</span><span class="p">(</span><span class="n">verts_df</span><span class="p">,</span> <span class="n">npartitions</span><span class="o">=</span><span class="n">n_workers</span><span class="p">)</span>
+    <span class="n">tris_ddf</span> <span class="o">=</span> <span class="n">dd</span><span class="o">.</span><span class="n">from_pandas</span><span class="p">(</span><span class="n">tris_df</span><span class="p">,</span> <span class="n">npartitions</span><span class="o">=</span><span class="n">n_workers</span><span class="p">)</span>
+
+    <span class="c1"># Declare HoloViews element</span>
+    <span class="n">tri_nodes</span> <span class="o">=</span> <span class="n">hv</span><span class="o">.</span><span class="n">Nodes</span><span class="p">(</span><span class="n">verts_ddf</span><span class="p">,</span> <span class="p">[</span><span class="s2">&quot;x&quot;</span><span class="p">,</span> <span class="s2">&quot;y&quot;</span><span class="p">,</span> <span class="s2">&quot;index&quot;</span><span class="p">],</span> <span class="p">[</span><span class="s2">&quot;z&quot;</span><span class="p">])</span>
+    <span class="n">trimesh</span> <span class="o">=</span> <span class="n">hv</span><span class="o">.</span><span class="n">TriMesh</span><span class="p">((</span><span class="n">tris_ddf</span><span class="p">,</span> <span class="n">tri_nodes</span><span class="p">))</span>
+    <span class="k">return</span> <span class="n">trimesh</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="nd">@jit</span><span class="p">(</span><span class="n">nopython</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="k">def</span> <span class="nf">triangulatePoly</span><span class="p">(</span><span class="n">verticesOnCell</span><span class="p">,</span> <span class="n">nEdgesOnCell</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Triangulate MPAS dual mesh:</span>
+
+<span class="sd">    Triangulate each polygon in a heterogenous mesh of n-gons by connecting</span>
+<span class="sd">    each internal polygon vertex to the first vertex. Uses the MPAS</span>
+<span class="sd">    auxilliary variables verticesOnCell, and nEdgesOnCell.</span>
+
+<span class="sd">    The function is decorated with Numba&#39;s just-in-time compiler so that it is translated into</span>
+<span class="sd">    optimized machine code for better peformance</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    verticesOnCell: numpy.ndarray</span>
+<span class="sd">        Connectivity array that stores the vertex indices that surround a given cell</span>
+<span class="sd">    nEdgesOnCell: numpy.ndarray</span>
+<span class="sd">        Number of edges on a given cell.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="c1"># Calculate the number of triangles. nEdgesOnCell gives the number of vertices for each cell (polygon)</span>
+    <span class="c1"># The number of triangles per polygon is the number of vertices minus 2.</span>
+    <span class="n">nTriangles</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">nEdgesOnCell</span> <span class="o">-</span> <span class="mi">2</span><span class="p">)</span>
+
+    <span class="n">triangles</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">((</span><span class="n">nTriangles</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">int64</span><span class="p">)</span>
+    <span class="n">nCells</span> <span class="o">=</span> <span class="n">verticesOnCell</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+    <span class="n">triIndex</span> <span class="o">=</span> <span class="mi">0</span>
+    <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">nCells</span><span class="p">):</span>
+        <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">nEdgesOnCell</span><span class="p">[</span><span class="n">j</span><span class="p">]</span> <span class="o">-</span> <span class="mi">2</span><span class="p">):</span>
+            <span class="n">triangles</span><span class="p">[</span><span class="n">triIndex</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="n">verticesOnCell</span><span class="p">[</span><span class="n">j</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
+            <span class="n">triangles</span><span class="p">[</span><span class="n">triIndex</span><span class="p">][</span><span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="n">verticesOnCell</span><span class="p">[</span><span class="n">j</span><span class="p">][</span><span class="n">i</span> <span class="o">+</span> <span class="mi">1</span><span class="p">]</span>
+            <span class="n">triangles</span><span class="p">[</span><span class="n">triIndex</span><span class="p">][</span><span class="mi">2</span><span class="p">]</span> <span class="o">=</span> <span class="n">verticesOnCell</span><span class="p">[</span><span class="n">j</span><span class="p">][</span><span class="n">i</span> <span class="o">+</span> <span class="mi">2</span><span class="p">]</span>
+            <span class="n">triIndex</span> <span class="o">+=</span> <span class="mi">1</span>
+
+    <span class="k">return</span> <span class="n">triangles</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="section" id="load-data-and-coordinates">
+<h3>Load data and coordinates<a class="headerlink" href="#load-data-and-coordinates" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Currently, the 30-km resolution dataset is used in this example and is available at <a class="reference external" href="https://github.com/NCAR/geocat-datafiles">geocat-datafiles</a>.
+However, the other resolutions of these data are stored on NCAR’s Glade data storage because of their size. Due to their size,
+the higher resolution data sets are only distributed with two variables in them:</p>
+<ul class="simple">
+<li><p>relhum_200hPa: Relative humidity vertically interpolated to 200 hPa</p></li>
+<li><p>vorticity_200hPa: Relative vorticity vertically interpolated to 200 hPa</p></li>
+</ul>
+<p>The “relhum_200hPa” variable is computed on the MPAS ‘primal’ mesh, while “vorticity_200hPa” is computed on the MPAS
+‘dual’ mesh.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Load data</span>
+<span class="n">datafiles</span> <span class="o">=</span> <span class="p">(</span>
+    <span class="n">gdf</span><span class="o">.</span><span class="n">get</span><span class="p">(</span>
+        <span class="s2">&quot;netcdf_files/MPAS/FalkoJudt/dyamond_1/30km/diag.2016-08-20_00.00.00_subset.nc&quot;</span>
+    <span class="p">),</span>
+    <span class="n">gdf</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;netcdf_files/MPAS/FalkoJudt/dyamond_1/30km/x1.655362.grid_subset.nc&quot;</span><span class="p">),</span>
+<span class="p">)</span>
+
+<span class="n">primalVarName</span> <span class="o">=</span> <span class="s2">&quot;relhum_200hPa&quot;</span>
+<span class="n">dualVarName</span> <span class="o">=</span> <span class="s2">&quot;vorticity_200hPa&quot;</span>
+<span class="n">central_longitude</span> <span class="o">=</span> <span class="mf">0.0</span>
+
+<span class="n">ds</span> <span class="o">=</span> <span class="n">open_mfdataset</span><span class="p">(</span><span class="n">datafiles</span><span class="p">,</span> <span class="n">decode_times</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+<span class="n">primalVar</span> <span class="o">=</span> <span class="n">ds</span><span class="p">[</span><span class="n">primalVarName</span><span class="p">]</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="n">Time</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span><span class="o">.</span><span class="n">values</span>
+<span class="n">dualVar</span> <span class="o">=</span> <span class="n">ds</span><span class="p">[</span><span class="n">dualVarName</span><span class="p">]</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="n">Time</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span><span class="o">.</span><span class="n">values</span>
+
+<span class="c1"># Fetch lat and lon coordinates for the primal and dual mesh.</span>
+<span class="n">lonCell</span> <span class="o">=</span> <span class="n">ds</span><span class="p">[</span><span class="s2">&quot;lonCell&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span> <span class="o">*</span> <span class="mf">180.0</span> <span class="o">/</span> <span class="n">math</span><span class="o">.</span><span class="n">pi</span>
+<span class="n">latCell</span> <span class="o">=</span> <span class="n">ds</span><span class="p">[</span><span class="s2">&quot;latCell&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span> <span class="o">*</span> <span class="mf">180.0</span> <span class="o">/</span> <span class="n">math</span><span class="o">.</span><span class="n">pi</span>
+<span class="n">lonCell</span> <span class="o">=</span> <span class="p">((</span><span class="n">lonCell</span> <span class="o">-</span> <span class="mf">180.0</span><span class="p">)</span> <span class="o">%</span> <span class="mf">360.0</span><span class="p">)</span> <span class="o">-</span> <span class="mf">180.0</span>
+
+<span class="n">lonVertex</span> <span class="o">=</span> <span class="n">ds</span><span class="p">[</span><span class="s2">&quot;lonVertex&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span> <span class="o">*</span> <span class="mf">180.0</span> <span class="o">/</span> <span class="n">math</span><span class="o">.</span><span class="n">pi</span>
+<span class="n">latVertex</span> <span class="o">=</span> <span class="n">ds</span><span class="p">[</span><span class="s2">&quot;latVertex&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span> <span class="o">*</span> <span class="mf">180.0</span> <span class="o">/</span> <span class="n">math</span><span class="o">.</span><span class="n">pi</span>
+<span class="n">lonVertex</span> <span class="o">=</span> <span class="p">((</span><span class="n">lonVertex</span> <span class="o">-</span> <span class="mf">180.0</span><span class="p">)</span> <span class="o">%</span> <span class="mf">360.0</span><span class="p">)</span> <span class="o">-</span> <span class="mf">180.0</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Downloading file &#39;netcdf_files/MPAS/FalkoJudt/dyamond_1/30km/diag.2016-08-20_00.00.00_subset.nc&#39; from &#39;https://github.com/NCAR/GeoCAT-datafiles/raw/main/netcdf_files/MPAS/FalkoJudt/dyamond_1/30km/diag.2016-08-20_00.00.00_subset.nc&#39; to &#39;/home/runner/.cache/geocat&#39;.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Downloading file &#39;netcdf_files/MPAS/FalkoJudt/dyamond_1/30km/x1.655362.grid_subset.nc&#39; from &#39;https://github.com/NCAR/GeoCAT-datafiles/raw/main/netcdf_files/MPAS/FalkoJudt/dyamond_1/30km/x1.655362.grid_subset.nc&#39; to &#39;/home/runner/.cache/geocat&#39;.
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="section" id="generate-triangular-mesh-using-mpas-connectivity-information">
+<h3>Generate triangular mesh using MPAS connectivity information<a class="headerlink" href="#generate-triangular-mesh-using-mpas-connectivity-information" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<div class="section" id="primal-mesh">
+<h4>Primal mesh<a class="headerlink" href="#primal-mesh" title="Permalink to this headline"><i class="fas fa-link"></i></a></h4>
+<p>In this example, we use the MPAS <code class="docutils literal notranslate"><span class="pre">cellsOnVertex</span></code> auxilliary variable, which defines mesh connectivity for the MPAS grid. Specifically, this variable tells us the cell indices contained by each cell.</p>
+<div class="admonition important">
+<p class="admonition-title">Important</p>
+<p>The benefits of this are twofold:</p>
+<ol class="arabic simple">
+<li><p>We’re using the actual mesh description from the MPAS output file</p></li>
+<li><p>For large grid this is <em>much</em> faster than synthesizing the connectivity information (e.g. by triangulating them with, for example, Delaunay triangulation).</p></li>
+</ol>
+</div>
+<p>So, first let’s:</p>
+<ul class="simple">
+<li><p>Get the triangle indices (i.e. MPAS connectivity),</p></li>
+<li><p>Make sure it is all in counter-clockwise order,</p></li>
+<li><p>“Unzip” the mesh along the longitude (for now, assuming the central longitude from the map projection is 0.0, i.e. cutting the mesh where longitude wraps around from -180.0 to 180.0)</p></li>
+<li><p>Project vertices from geographic to PCS coordinates</p></li>
+<li><p>Create Holoviews TriMesh</p></li>
+</ul>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Indexing in MPAS starts from 1, not zero :-(</p>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">tris</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">cellsOnVertex</span><span class="o">.</span><span class="n">values</span> <span class="o">-</span> <span class="mi">1</span>
+
+<span class="n">tris</span> <span class="o">=</span> <span class="n">orderCCW</span><span class="p">(</span><span class="n">lonCell</span><span class="p">,</span> <span class="n">latCell</span><span class="p">,</span> <span class="n">tris</span><span class="p">)</span>
+
+<span class="n">tris</span> <span class="o">=</span> <span class="n">unzipMesh</span><span class="p">(</span><span class="n">lonCell</span><span class="p">,</span> <span class="n">tris</span><span class="p">,</span> <span class="mf">90.0</span><span class="p">)</span>
+
+<span class="n">projection</span> <span class="o">=</span> <span class="n">ccrs</span><span class="o">.</span><span class="n">Robinson</span><span class="p">(</span><span class="n">central_longitude</span><span class="o">=</span><span class="n">central_longitude</span><span class="p">)</span>
+<span class="n">xPCS</span><span class="p">,</span> <span class="n">yPCS</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">projection</span><span class="o">.</span><span class="n">transform_points</span><span class="p">(</span><span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span> <span class="n">lonCell</span><span class="p">,</span> <span class="n">latCell</span><span class="p">)</span><span class="o">.</span><span class="n">T</span>
+
+<span class="n">trimesh</span> <span class="o">=</span> <span class="n">createHVTriMesh</span><span class="p">(</span><span class="n">xPCS</span><span class="p">,</span> <span class="n">yPCS</span><span class="p">,</span> <span class="n">tris</span><span class="p">,</span> <span class="n">primalVar</span><span class="p">,</span> <span class="n">n_workers</span><span class="o">=</span><span class="n">n_workers</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="section" id="dual-mesh">
+<h4>Dual mesh<a class="headerlink" href="#dual-mesh" title="Permalink to this headline"><i class="fas fa-link"></i></a></h4>
+<p>In this example though, we use the MPAS <code class="docutils literal notranslate"><span class="pre">verticesOnCell</span></code> and <code class="docutils literal notranslate"><span class="pre">nEdgesOnCell</span></code> auxilliary variables, which defines mesh connectivity for the MPAS dual grid. A lot of details in the following code is similarv to those in the primal mesh’s case except <code class="docutils literal notranslate"><span class="pre">triangulatePoly()</span></code> wheere we decompose each cell into triangles since for the dual mesh, the data are located on triangle centers, which correspond to cell (polygon) vertices.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">verticesOnCell</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">verticesOnCell</span><span class="o">.</span><span class="n">values</span> <span class="o">-</span> <span class="mi">1</span>
+<span class="n">nEdgesOnCell</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">nEdgesOnCell</span><span class="o">.</span><span class="n">values</span>
+
+<span class="n">tris_dual</span> <span class="o">=</span> <span class="n">triangulatePoly</span><span class="p">(</span><span class="n">verticesOnCell</span><span class="p">,</span> <span class="n">nEdgesOnCell</span><span class="p">)</span>
+
+<span class="n">tris_dual</span> <span class="o">=</span> <span class="n">unzipMesh</span><span class="p">(</span><span class="n">lonVertex</span><span class="p">,</span> <span class="n">tris_dual</span><span class="p">,</span> <span class="mf">90.0</span><span class="p">)</span>
+
+<span class="n">projection</span> <span class="o">=</span> <span class="n">ccrs</span><span class="o">.</span><span class="n">Robinson</span><span class="p">(</span><span class="n">central_longitude</span><span class="o">=</span><span class="n">central_longitude</span><span class="p">)</span>
+<span class="n">xPCS_dual</span><span class="p">,</span> <span class="n">yPCS_dual</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">projection</span><span class="o">.</span><span class="n">transform_points</span><span class="p">(</span>
+    <span class="n">ccrs</span><span class="o">.</span><span class="n">PlateCarree</span><span class="p">(),</span> <span class="n">lonVertex</span><span class="p">,</span> <span class="n">latVertex</span>
+<span class="p">)</span><span class="o">.</span><span class="n">T</span>
+
+<span class="n">trimesh_dual</span> <span class="o">=</span> <span class="n">createHVTriMesh</span><span class="p">(</span>
+    <span class="n">xPCS_dual</span><span class="p">,</span> <span class="n">yPCS_dual</span><span class="p">,</span> <span class="n">tris_dual</span><span class="p">,</span> <span class="n">dualVar</span><span class="p">,</span> <span class="n">n_workers</span><span class="o">=</span><span class="n">n_workers</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="section" id="interactive-holoviz-plots">
+<h2>Interactive HoloViz Plots<a class="headerlink" href="#interactive-holoviz-plots" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Since the emphasis of these plots is the interactivity, we will not provide much detail on the features/arguments other than interactivity-related ones, but such details to some extent can still be found in the code comments.</p>
+</div>
+<p>HoloViz tools provide essential interactivity features such as panning, zooming,
+hovering, clickable/selectable legends, etc. on a plot.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>The first step to achieve interactivity with HoloViz tools is to choose <code class="docutils literal notranslate"><span class="pre">bokeh</span></code> as
+the backend:</p>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">hv</span><span class="o">.</span><span class="n">extension</span><span class="p">(</span><span class="s2">&quot;bokeh&quot;</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<script type="application/javascript">(function(root) {
+  function now() {
+    return new Date();
+  }
+
+  var force = true;
+  var py_version = '3.3.2'.replace('rc', '-rc.').replace('.dev', '-dev.');
+  var reloading = false;
+  var Bokeh = root.Bokeh;
+
+  if (typeof (root._bokeh_timeout) === "undefined" || force) {
+    root._bokeh_timeout = Date.now() + 5000;
+    root._bokeh_failed_load = false;
+  }
+
+  function run_callbacks() {
+    try {
+      root._bokeh_onload_callbacks.forEach(function(callback) {
+        if (callback != null)
+          callback();
+      });
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+      delete root._bokeh_onload_callbacks;
+    }
+    console.debug("Bokeh: all callbacks have finished");
+  }
+
+  function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {
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+
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+
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+      return null;
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+
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+
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+      require(["jspanel"], function(jsPanel) {
+	window.jsPanel = jsPanel
+	on_load()
+      })
+      require(["jspanel-modal"], function() {
+	on_load()
+      })
+      require(["jspanel-tooltip"], function() {
+	on_load()
+      })
+      require(["jspanel-hint"], function() {
+	on_load()
+      })
+      require(["jspanel-layout"], function() {
+	on_load()
+      })
+      require(["jspanel-contextmenu"], function() {
+	on_load()
+      })
+      require(["jspanel-dock"], function() {
+	on_load()
+      })
+      require(["gridstack"], function(GridStack) {
+	window.GridStack = GridStack
+	on_load()
+      })
+      require(["notyf"], function() {
+	on_load()
+      })
+      root._bokeh_is_loading = css_urls.length + 9;
+    } else {
+      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;
+    }
+
+    var existing_stylesheets = []
+    var links = document.getElementsByTagName('link')
+    for (var i = 0; i < links.length; i++) {
+      var link = links[i]
+      if (link.href != null) {
+	existing_stylesheets.push(link.href)
+      }
+    }
+    for (var i = 0; i < css_urls.length; i++) {
+      var url = css_urls[i];
+      if (existing_stylesheets.indexOf(url) !== -1) {
+	on_load()
+	continue;
+      }
+      const element = document.createElement("link");
+      element.onload = on_load;
+      element.onerror = on_error;
+      element.rel = "stylesheet";
+      element.type = "text/css";
+      element.href = url;
+      console.debug("Bokeh: injecting link tag for BokehJS stylesheet: ", url);
+      document.body.appendChild(element);
+    }    if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {
+      var urls = ['https://cdn.holoviz.org/panel/1.3.4/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.4/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.4/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.4/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.4/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.4/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.4/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];
+      for (var i = 0; i < urls.length; i++) {
+        skip.push(urls[i])
+      }
+    }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {
+      var urls = ['https://cdn.holoviz.org/panel/1.3.4/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];
+      for (var i = 0; i < urls.length; i++) {
+        skip.push(urls[i])
+      }
+    }    if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {
+      var urls = ['https://cdn.holoviz.org/panel/1.3.4/dist/bundled/notificationarea/notyf@3/notyf.min.js'];
+      for (var i = 0; i < urls.length; i++) {
+        skip.push(urls[i])
+      }
+    }    var existing_scripts = []
+    var scripts = document.getElementsByTagName('script')
+    for (var i = 0; i < scripts.length; i++) {
+      var script = scripts[i]
+      if (script.src != null) {
+	existing_scripts.push(script.src)
+      }
+    }
+    for (var i = 0; i < js_urls.length; i++) {
+      var url = js_urls[i];
+      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {
+	if (!window.requirejs) {
+	  on_load();
+	}
+	continue;
+      }
+      var element = document.createElement('script');
+      element.onload = on_load;
+      element.onerror = on_error;
+      element.async = false;
+      element.src = url;
+      console.debug("Bokeh: injecting script tag for BokehJS library: ", url);
+      document.head.appendChild(element);
+    }
+    for (var i = 0; i < js_modules.length; i++) {
+      var url = js_modules[i];
+      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {
+	if (!window.requirejs) {
+	  on_load();
+	}
+	continue;
+      }
+      var element = document.createElement('script');
+      element.onload = on_load;
+      element.onerror = on_error;
+      element.async = false;
+      element.src = url;
+      element.type = "module";
+      console.debug("Bokeh: injecting script tag for BokehJS library: ", url);
+      document.head.appendChild(element);
+    }
+    for (const name in js_exports) {
+      var url = js_exports[name];
+      if (skip.indexOf(url) >= 0 || root[name] != null) {
+	if (!window.requirejs) {
+	  on_load();
+	}
+	continue;
+      }
+      var element = document.createElement('script');
+      element.onerror = on_error;
+      element.async = false;
+      element.type = "module";
+      console.debug("Bokeh: injecting script tag for BokehJS library: ", url);
+      element.textContent = `
+      import ${name} from "${url}"
+      window.${name} = ${name}
+      window._bokeh_on_load()
+      `
+      document.head.appendChild(element);
+    }
+    if (!js_urls.length && !js_modules.length) {
+      on_load()
+    }
+  };
+
+  function inject_raw_css(css) {
+    const element = document.createElement("style");
+    element.appendChild(document.createTextNode(css));
+    document.body.appendChild(element);
+  }
+
+  var js_urls = ["https://cdn.bokeh.org/bokeh/release/bokeh-3.3.2.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.2.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.2.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.2.min.js", "https://cdn.holoviz.org/panel/1.3.4/dist/panel.min.js", "https://cdn.jsdelivr.net/npm/@holoviz/geoviews@1.11.0/dist/geoviews.min.js"];
+  var js_modules = [];
+  var js_exports = {};
+  var css_urls = [];
+  var inline_js = [    function(Bokeh) {
+      Bokeh.set_log_level("info");
+    },
+function(Bokeh) {} // ensure no trailing comma for IE
+  ];
+
+  function run_inline_js() {
+    if ((root.Bokeh !== undefined) || (force === true)) {
+      for (var i = 0; i < inline_js.length; i++) {
+	try {
+          inline_js[i].call(root, root.Bokeh);
+	} catch(e) {
+	  if (!reloading) {
+	    throw e;
+	  }
+	}
+      }
+      // Cache old bokeh versions
+      if (Bokeh != undefined && !reloading) {
+	var NewBokeh = root.Bokeh;
+	if (Bokeh.versions === undefined) {
+	  Bokeh.versions = new Map();
+	}
+	if (NewBokeh.version !== Bokeh.version) {
+	  Bokeh.versions.set(NewBokeh.version, NewBokeh)
+	}
+	root.Bokeh = Bokeh;
+      }} else if (Date.now() < root._bokeh_timeout) {
+      setTimeout(run_inline_js, 100);
+    } else if (!root._bokeh_failed_load) {
+      console.log("Bokeh: BokehJS failed to load within specified timeout.");
+      root._bokeh_failed_load = true;
+    }
+    root._bokeh_is_initializing = false
+  }
+
+  function load_or_wait() {
+    // Implement a backoff loop that tries to ensure we do not load multiple
+    // versions of Bokeh and its dependencies at the same time.
+    // In recent versions we use the root._bokeh_is_initializing flag
+    // to determine whether there is an ongoing attempt to initialize
+    // bokeh, however for backward compatibility we also try to ensure
+    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version
+    // before older versions are fully initialized.
+    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {
+      root._bokeh_is_initializing = false;
+      root._bokeh_onload_callbacks = undefined;
+      console.log("Bokeh: BokehJS was loaded multiple times but one version failed to initialize.");
+      load_or_wait();
+    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === "undefined" && root._bokeh_onload_callbacks !== undefined)) {
+      setTimeout(load_or_wait, 100);
+    } else {
+      root._bokeh_is_initializing = true
+      root._bokeh_onload_callbacks = []
+      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));
+      if (!reloading && !bokeh_loaded) {
+	root.Bokeh = undefined;
+      }
+      load_libs(css_urls, js_urls, js_modules, js_exports, function() {
+	console.debug("Bokeh: BokehJS plotting callback run at", now());
+	run_inline_js();
+      });
+    }
+  }
+  // Give older versions of the autoload script a head-start to ensure
+  // they initialize before we start loading newer version.
+  setTimeout(load_or_wait, 100)
+}(window));</script><script type="application/javascript">
+if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {
+  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}
+}
+
+
+    function JupyterCommManager() {
+    }
+
+    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {
+      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {
+        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;
+        comm_manager.register_target(comm_id, function(comm) {
+          comm.on_msg(msg_handler);
+        });
+      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {
+        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {
+          comm.onMsg = msg_handler;
+        });
+      } else if (typeof google != 'undefined' && google.colab.kernel != null) {
+        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {
+          var messages = comm.messages[Symbol.asyncIterator]();
+          function processIteratorResult(result) {
+            var message = result.value;
+            console.log(message)
+            var content = {data: message.data, comm_id};
+            var buffers = []
+            for (var buffer of message.buffers || []) {
+              buffers.push(new DataView(buffer))
+            }
+            var metadata = message.metadata || {};
+            var msg = {content, buffers, metadata}
+            msg_handler(msg);
+            return messages.next().then(processIteratorResult);
+          }
+          return messages.next().then(processIteratorResult);
+        })
+      }
+    }
+
+    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {
+      if (comm_id in window.PyViz.comms) {
+        return window.PyViz.comms[comm_id];
+      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {
+        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;
+        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);
+        if (msg_handler) {
+          comm.on_msg(msg_handler);
+        }
+      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {
+        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);
+        comm.open();
+        if (msg_handler) {
+          comm.onMsg = msg_handler;
+        }
+      } else if (typeof google != 'undefined' && google.colab.kernel != null) {
+        var comm_promise = google.colab.kernel.comms.open(comm_id)
+        comm_promise.then((comm) => {
+          window.PyViz.comms[comm_id] = comm;
+          if (msg_handler) {
+            var messages = comm.messages[Symbol.asyncIterator]();
+            function processIteratorResult(result) {
+              var message = result.value;
+              var content = {data: message.data};
+              var metadata = message.metadata || {comm_id};
+              var msg = {content, metadata}
+              msg_handler(msg);
+              return messages.next().then(processIteratorResult);
+            }
+            return messages.next().then(processIteratorResult);
+          }
+        }) 
+        var sendClosure = (data, metadata, buffers, disposeOnDone) => {
+          return comm_promise.then((comm) => {
+            comm.send(data, metadata, buffers, disposeOnDone);
+          });
+        };
+        var comm = {
+          send: sendClosure
+        };
+      }
+      window.PyViz.comms[comm_id] = comm;
+      return comm;
+    }
+    window.PyViz.comm_manager = new JupyterCommManager();
+    
+
+
+var JS_MIME_TYPE = 'application/javascript';
+var HTML_MIME_TYPE = 'text/html';
+var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';
+var CLASS_NAME = 'output';
+
+/**
+ * Render data to the DOM node
+ */
+function render(props, node) {
+  var div = document.createElement("div");
+  var script = document.createElement("script");
+  node.appendChild(div);
+  node.appendChild(script);
+}
+
+/**
+ * Handle when a new output is added
+ */
+function handle_add_output(event, handle) {
+  var output_area = handle.output_area;
+  var output = handle.output;
+  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {
+    return
+  }
+  var id = output.metadata[EXEC_MIME_TYPE]["id"];
+  var toinsert = output_area.element.find("." + CLASS_NAME.split(' ')[0]);
+  if (id !== undefined) {
+    var nchildren = toinsert.length;
+    var html_node = toinsert[nchildren-1].children[0];
+    html_node.innerHTML = output.data[HTML_MIME_TYPE];
+    var scripts = [];
+    var nodelist = html_node.querySelectorAll("script");
+    for (var i in nodelist) {
+      if (nodelist.hasOwnProperty(i)) {
+        scripts.push(nodelist[i])
+      }
+    }
+
+    scripts.forEach( function (oldScript) {
+      var newScript = document.createElement("script");
+      var attrs = [];
+      var nodemap = oldScript.attributes;
+      for (var j in nodemap) {
+        if (nodemap.hasOwnProperty(j)) {
+          attrs.push(nodemap[j])
+        }
+      }
+      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });
+      newScript.appendChild(document.createTextNode(oldScript.innerHTML));
+      oldScript.parentNode.replaceChild(newScript, oldScript);
+    });
+    if (JS_MIME_TYPE in output.data) {
+      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];
+    }
+    output_area._hv_plot_id = id;
+    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {
+      window.PyViz.plot_index[id] = Bokeh.index[id];
+    } else {
+      window.PyViz.plot_index[id] = null;
+    }
+  } else if (output.metadata[EXEC_MIME_TYPE]["server_id"] !== undefined) {
+    var bk_div = document.createElement("div");
+    bk_div.innerHTML = output.data[HTML_MIME_TYPE];
+    var script_attrs = bk_div.children[0].attributes;
+    for (var i = 0; i < script_attrs.length; i++) {
+      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);
+    }
+    // store reference to server id on output_area
+    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE]["server_id"];
+  }
+}
+
+/**
+ * Handle when an output is cleared or removed
+ */
+function handle_clear_output(event, handle) {
+  var id = handle.cell.output_area._hv_plot_id;
+  var server_id = handle.cell.output_area._bokeh_server_id;
+  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }
+  var comm = window.PyViz.comm_manager.get_client_comm("hv-extension-comm", "hv-extension-comm", function () {});
+  if (server_id !== null) {
+    comm.send({event_type: 'server_delete', 'id': server_id});
+    return;
+  } else if (comm !== null) {
+    comm.send({event_type: 'delete', 'id': id});
+  }
+  delete PyViz.plot_index[id];
+  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {
+    var doc = window.Bokeh.index[id].model.document
+    doc.clear();
+    const i = window.Bokeh.documents.indexOf(doc);
+    if (i > -1) {
+      window.Bokeh.documents.splice(i, 1);
+    }
+  }
+}
+
+/**
+ * Handle kernel restart event
+ */
+function handle_kernel_cleanup(event, handle) {
+  delete PyViz.comms["hv-extension-comm"];
+  window.PyViz.plot_index = {}
+}
+
+/**
+ * Handle update_display_data messages
+ */
+function handle_update_output(event, handle) {
+  handle_clear_output(event, {cell: {output_area: handle.output_area}})
+  handle_add_output(event, handle)
+}
+
+function register_renderer(events, OutputArea) {
+  function append_mime(data, metadata, element) {
+    // create a DOM node to render to
+    var toinsert = this.create_output_subarea(
+    metadata,
+    CLASS_NAME,
+    EXEC_MIME_TYPE
+    );
+    this.keyboard_manager.register_events(toinsert);
+    // Render to node
+    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};
+    render(props, toinsert[0]);
+    element.append(toinsert);
+    return toinsert
+  }
+
+  events.on('output_added.OutputArea', handle_add_output);
+  events.on('output_updated.OutputArea', handle_update_output);
+  events.on('clear_output.CodeCell', handle_clear_output);
+  events.on('delete.Cell', handle_clear_output);
+  events.on('kernel_ready.Kernel', handle_kernel_cleanup);
+
+  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {
+    safe: true,
+    index: 0
+  });
+}
+
+if (window.Jupyter !== undefined) {
+  try {
+    var events = require('base/js/events');
+    var OutputArea = require('notebook/js/outputarea').OutputArea;
+    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {
+      register_renderer(events, OutputArea);
+    }
+  } catch(err) {
+  }
+}
+</script><div class="output text_html"><style>*[data-root-id],
+*[data-root-id] > * {
+  box-sizing: border-box;
+  font-family: var(--jp-ui-font-family);
+  font-size: var(--jp-ui-font-size1);
+  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));
+}
+
+/* Override VSCode background color */
+.cell-output-ipywidget-background:has(
+    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]
+  ),
+.cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {
+  background-color: transparent !important;
+}
+</style></div><div class="output text_html"><div id='p1009'>
+  <div id="b6d39126-e76a-45ea-a3c2-34fb0aa594b9" data-root-id="p1009" style="display: contents;"></div>
+</div>
+<script type="application/javascript">(function(root) {
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+  var docs = Object.values(docs_json)
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+  function embed_document(root) {
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+    for (const render_item of render_items) {
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+	const id_el = document.getElementById(root_id)
+	if (id_el.children.length && (id_el.children[0].className === 'bk-root')) {
+	  const root_el = id_el.children[0]
+	  root_el.id = root_el.id + '-rendered'
+	}
+      }
+    }
+  }
+  function get_bokeh(root) {
+    if (root.Bokeh === undefined) {
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+	return null
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+      return root.Bokeh.versions.get(py_version);
+    } else if (root.Bokeh.version === py_version) {
+      return root.Bokeh
+    }
+    return null
+  }
+  function is_loaded(root) {
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+    return (Bokeh != null && Bokeh.Panel !== undefined)
+  }
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+    var timer = setInterval(function(root) {
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+        embed_document(root);
+      } else if (document.readyState == "complete") {
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+	  var Bokeh = get_bokeh(root)
+	  if (Bokeh == null || Bokeh.Panel == null) {
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+       style='height:15px; border-radius:12px; display: inline-block; float: left'></img>
+  
+
+
+
+
+</div>
+</div></div>
+</div>
+<p>Let’s define keyword arguments that will be commonly used for all of the plots and their <code class="docutils literal notranslate"><span class="pre">opts</span></code> throughout. For that, the plotting arguments are <code class="docutils literal notranslate"><span class="pre">aggregator=mean</span></code> to use the average of node values for shading in the rasterization and <code class="docutils literal notranslate"><span class="pre">precompute=True</span></code> to cache the data internally; the <code class="docutils literal notranslate"><span class="pre">opts</span></code> arguments are nothing more than opting in to showing the colorbar and using a colormap called “coolwarm”:</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">plot_kwargs</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s2">&quot;aggregator&quot;</span><span class="p">:</span> <span class="s2">&quot;mean&quot;</span><span class="p">,</span>
+    <span class="s2">&quot;precompute&quot;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+<span class="p">}</span>
+
+<span class="n">opts_kwargs</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s2">&quot;colorbar&quot;</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="s2">&quot;cmap&quot;</span><span class="p">:</span> <span class="s2">&quot;coolwarm&quot;</span><span class="p">,</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="section" id="holoviews-options-system-opts">
+<h3>Holoviews’ options system: <code class="docutils literal notranslate"><span class="pre">opts</span></code><a class="headerlink" href="#holoviews-options-system-opts" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>HoloViz packages provide high-level visualization functions that allow the customization of plot features through optional arguments. Furthermore, the HoloViews options system allows customizing a plot from title to size, legend, axes, and more. This system works by calling the <code class="docutils literal notranslate"><span class="pre">.opts()</span></code> method through a HoloViews plot object. We will set the <code class="docutils literal notranslate"><span class="pre">opts</span></code> defaults below and then customize plots throughout the notebook via <code class="docutils literal notranslate"><span class="pre">.opts()</span></code>. Keep an eye on them!</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">opts</span><span class="o">.</span><span class="n">defaults</span><span class="p">(</span>
+    <span class="n">opts</span><span class="o">.</span><span class="n">Image</span><span class="p">(</span><span class="n">frame_width</span><span class="o">=</span><span class="mi">600</span><span class="p">,</span> <span class="n">data_aspect</span><span class="o">=</span><span class="mi">1</span><span class="p">),</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="section" id="pan-zoom">
+<h3>Pan &amp; zoom<a class="headerlink" href="#pan-zoom" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Bokeh-rendered HoloViz plots come with default pan and zoom (box &amp; wheel), tools as well as save and reset options in the very right. Just look at the following plot for those features, which uses Datashader’s rasterization method to visualize the data.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">rasterized</span> <span class="o">=</span> <span class="n">hds_rasterize</span><span class="p">(</span><span class="n">trimesh</span><span class="p">,</span> <span class="o">**</span><span class="n">plot_kwargs</span><span class="p">)</span>
+<span class="n">rasterized</span><span class="o">.</span><span class="n">opts</span><span class="p">(</span><span class="o">**</span><span class="n">opts_kwargs</span><span class="p">)</span> <span class="o">*</span> <span class="n">gf</span><span class="o">.</span><span class="n">coastline</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="n">projection</span><span class="p">)</span>
+</pre></div>
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+</div>
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+      return root.Bokeh
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+    return null
+  }
+  function is_loaded(root) {
+    var Bokeh = get_bokeh(root)
+    return (Bokeh != null && Bokeh.Panel !== undefined)
+  }
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+          clearInterval(timer);
+	  var Bokeh = get_bokeh(root)
+	  if (Bokeh == null || Bokeh.Panel == null) {
+            console.warn("Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing");
+	  } else {
+	    console.warn("Panel: WARNING: Attempting to render but not all required libraries could be resolved.")
+	    embed_document(root)
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+    }, 25, root)
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+</div>
+</div>
+<div class="section" id="hover">
+<h3>Hover<a class="headerlink" href="#hover" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Use <code class="docutils literal notranslate"><span class="pre">tools=['hover']</span></code> can be used to get the plot to display data values while hovering over the plot (there are other tools that can be selected, too, but those will not be covered in this notebook). See the below plot (let’s use the dual mesh data this time just for the sake of assortment of visualizations) and hover you cursor over it:</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">rasterized</span> <span class="o">=</span> <span class="n">hds_rasterize</span><span class="p">(</span><span class="n">trimesh_dual</span><span class="p">,</span> <span class="o">**</span><span class="n">plot_kwargs</span><span class="p">)</span>
+<span class="n">rasterized</span><span class="o">.</span><span class="n">opts</span><span class="p">(</span><span class="n">tools</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;hover&quot;</span><span class="p">],</span> <span class="n">clim</span><span class="o">=</span><span class="p">(</span><span class="o">-</span><span class="mf">4e-4</span><span class="p">,</span> <span class="mf">4e-4</span><span class="p">),</span> <span class="o">**</span><span class="n">opts_kwargs</span><span class="p">)</span> <span class="o">*</span> <span class="n">gf</span><span class="o">.</span><span class="n">coastline</span><span class="p">(</span>
+    <span class="n">projection</span><span class="o">=</span><span class="n">projection</span>
+<span class="p">)</span>
+</pre></div>
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+	    embed_document(root)
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+</div>
+</div>
+<div class="section" id="dynamic-plot">
+<h3>Dynamic plot<a class="headerlink" href="#dynamic-plot" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>You can decide whether to return a dynamic plot that sends updates on widget and zoom/pan
+events or whether all the data should be embedded by using the boolean <code class="docutils literal notranslate"><span class="pre">dynamic</span></code> argument.
+The default value of this argument is <code class="docutils literal notranslate"><span class="pre">True</span></code>, so all the previously rendered plots were
+already dynamic.</p>
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>If you are looking at this through the Pythia Cookbook gallery webpage (i.e. this is a rendered notebook as html), you cannot experience how the “dynamic” option works. To do that, you have to execute the notebook live (e.g. through the Binder link we provide for the cookbook or by executing it in your local).</p>
+</div>
+<p>Now let’s look at a non-dynamic plot (i.e. <code class="docutils literal notranslate"><span class="pre">dynamic=False</span></code>):</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">rasterized</span> <span class="o">=</span> <span class="n">hds_rasterize</span><span class="p">(</span><span class="n">trimesh</span><span class="p">,</span> <span class="o">**</span><span class="n">plot_kwargs</span><span class="p">,</span> <span class="n">dynamic</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+<span class="n">rasterized</span><span class="o">.</span><span class="n">opts</span><span class="p">(</span><span class="o">**</span><span class="n">opts_kwargs</span><span class="p">)</span> <span class="o">*</span> <span class="n">gf</span><span class="o">.</span><span class="n">coastline</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="n">projection</span><span class="p">)</span>
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+  var docs = Object.values(docs_json)
+  if (!docs) {
+    return
+  }
+  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')
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+  }
+  function get_bokeh(root) {
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+      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {
+	return null
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+      return root.Bokeh.versions.get(py_version);
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+      return root.Bokeh
+    }
+    return null
+  }
+  function is_loaded(root) {
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+    return (Bokeh != null && Bokeh.Panel !== undefined)
+  }
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+    embed_document(root);
+  } else {
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+        embed_document(root);
+      } else if (document.readyState == "complete") {
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+        if (attempts > 200) {
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+            console.warn("Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing");
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+	    embed_document(root)
+	  }
+        }
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+    }, 25, root)
+  }
+})(window);</script></div></div>
+</div>
+<div class="admonition tip">
+<p class="admonition-title">Tip</p>
+<p>This plot does not look immediately different than the prior ones where <code class="docutils literal notranslate"><span class="pre">dynamic=True</span></code>, right? Yes, in the global view, but try zooming into the plot (again, if you are executing notebook rather than looking at the rendered one), and see how dynamic vs. non-dynamic plots look like. See the below comparison for instance:</p>
+</div>
+<table class="colwidths-auto table">
+<thead>
+<tr class="row-odd"><th class="text-center head"><p>Non-Dynamic-Zoomed</p></th>
+<th class="text-center head"><p>Dynamic-Zoomed</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td class="text-center"><p><img alt="non-dynamic-zoomed" src="../_images/hv-non-dynamic-zoomed.png" /></p></td>
+<td class="text-center"><p><img alt="dynamic-zoomed" src="../_images/hv-dynamic-zoomed.png" /></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="section" id="further-interactivity-considerations">
+<h3>Further interactivity considerations<a class="headerlink" href="#further-interactivity-considerations" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>Even though we will not cover in the scope of this cookbook, you may want to have a look at the following HoloViz resources for further interactivity in your plots:</p>
+<ul class="simple">
+<li><p><a class="reference external" href="https://holoviews.org/gallery/apps/bokeh/mandelbrot.html">Mandelbrot</a></p></li>
+<li><p><a class="reference external" href="https://holoviews.org/reference/apps/bokeh/player.html">Player</a></p></li>
+<li><p><a class="reference external" href="https://holoviews.org/reference/containers/bokeh/HoloMap.html">HoloMap</a></p></li>
+</ul>
+</div>
+</div>
+<div class="section" id="summary">
+<h2>Summary<a class="headerlink" href="#summary" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<p>HoloViz technologies can be used in order to create interactive plots when Bokeh is used as the backend. Even though a really large dataset (e.g. km-scale) is not
+showcased in this notebook, HoloViz packages are reasonably performant with visualization of such data, too.</p>
+<div class="section" id="whats-next">
+<h3>What’s next?<a class="headerlink" href="#whats-next" title="Permalink to this headline"><i class="fas fa-link"></i></a></h3>
+<p>The end of this notebook wraps up this cookbook as well. Thanks for reading!</p>
+</div>
+</div>
+<div class="section" id="resources-and-references">
+<h2>Resources and references<a class="headerlink" href="#resources-and-references" title="Permalink to this headline"><i class="fas fa-link"></i></a></h2>
+<ul class="simple">
+<li><p><a class="reference external" href="https://mpas-dev.github.io/files/documents/MPAS-MeshSpec.pdf">MPAS Mesh Specification</a> for those interested</p></li>
+</ul>
+</div>
+</div>
+
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+   Advanced Visualization Cookbook
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+ </li>
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+<p aria-level="2" class="caption" role="heading">
+ <span class="caption-text">
+  Preamble
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+ <li class="toctree-l1 current active">
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+   How to Cite This Cookbook
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+   What Makes for Good Data Visualization?
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+   Plot Elements
+  </a>
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+  Specialty Plots
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+   Skew T Diagrams
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+<h1>How to Cite This Cookbook<a class="headerlink" href="#how-to-cite-this-cookbook" title="Permalink to this headline"><i class="fas fa-link"></i></a></h1>
+<p>The material in this Project Pythia Cookbook is licensed for free and open consumption and reuse. All code is served under <a class="reference external" href="https://www.apache.org/licenses/LICENSE-2.0">Apache 2.0</a>, while all non-code content is licensed under <a class="reference external" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons BY 4.0 (CC BY 4.0)</a>. Effectively, this means you are free to share and adapt this material so long as you give appropriate credit to the Cookbook authors and the Project Pythia community.</p>
+<p>The source code for the book is <a class="reference external" href="https://github.com/ProjectPythia/advanced-viz-cookbook">released on GitHub</a> and archived on Zenodo. This DOI will always resolve to the latest release of the book source:</p>
+<p><a class="reference external" href="https://zenodo.org/badge/latestdoi/671205314"><img alt="DOI" src="https://zenodo.org/badge/671205314.svg" /></a></p>
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+   Advanced Visualization Cookbook
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+<p aria-level="2" class="caption" role="heading">
+ <span class="caption-text">
+  Preamble
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+ <li class="toctree-l1">
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+   How to Cite This Cookbook
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+</ul>
+<p aria-level="2" class="caption" role="heading">
+ <span class="caption-text">
+  Basics of Geoscience Visualization
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+</p>
+<ul class="nav bd-sidenav">
+ <li class="toctree-l1">
+  <a class="reference internal" href="notebooks/1-comparison.html">
+   Comparison of Visualization Packages
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+ <li class="toctree-l1">
+  <a class="reference internal" href="notebooks/2-good-viz.html">
+   What Makes for Good Data Visualization?
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+ <li class="toctree-l1">
+  <a class="reference internal" href="notebooks/3-plot-elements.html">
+   Plot Elements
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+ <span class="caption-text">
+  Specialty Plots
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