diff --git a/MEG/bna_subnetorder.txt b/MEG/bna_subnetorder.txt
new file mode 100644
index 0000000..a71a2e9
--- /dev/null
+++ b/MEG/bna_subnetorder.txt
@@ -0,0 +1,247 @@
+BNA region	YEO network	Yeo Labels
+BNA 105	1	Visual
+BNA 119	1	Visual
+BNA 135	1	Visual
+BNA 189	1	Visual
+BNA 191	1	Visual
+BNA 193	1	Visual
+BNA 195	1	Visual
+BNA 197	1	Visual
+BNA 199	1	Visual
+BNA 201	1	Visual
+BNA 203	1	Visual
+BNA 205	1	Visual
+BNA 207	1	Visual
+BNA 209	1	Visual
+BNA 9	2	SMN
+BNA 53	2	SMN
+BNA 57	2	SMN
+BNA 59	2	SMN
+BNA 65	2	SMN
+BNA 67	2	SMN
+BNA 71	2	SMN
+BNA 73	2	SMN
+BNA 75	2	SMN
+BNA 131	2	SMN
+BNA 155	2	SMN
+BNA 157	2	SMN
+BNA 159	2	SMN
+BNA 161	2	SMN
+BNA 163	2	SMN
+BNA 171	2	SMN
+BNA 7	3	DAN
+BNA 25	3	DAN
+BNA 55	3	DAN
+BNA 63	3	DAN
+BNA 85	3	DAN
+BNA 91	3	DAN
+BNA 97	3	DAN
+BNA 107	3	DAN
+BNA 125	3	DAN
+BNA 127	3	DAN
+BNA 129	3	DAN
+BNA 133	3	DAN
+BNA 139	3	DAN
+BNA 1	4	VAN
+BNA 15	4	VAN
+BNA 37	4	VAN
+BNA 61	4	VAN
+BNA 145	4	VAN
+BNA 149	4	VAN
+BNA 167	4	VAN
+BNA 169	4	VAN
+BNA 173	4	VAN
+BNA 183	4	VAN
+BNA 185	4	VAN
+BNA 45	5	limbic
+BNA 47	5	limbic
+BNA 49	5	limbic
+BNA 69	5	limbic
+BNA 77	5	limbic
+BNA 89	5	limbic
+BNA 93	5	limbic
+BNA 101	5	limbic
+BNA 103	5	limbic
+BNA 109	5	limbic
+BNA 111	5	limbic
+BNA 115	5	limbic
+BNA 117	5	limbic
+BNA 17	6	FPN
+BNA 19	6	FPN
+BNA 21	6	FPN
+BNA 29	6	FPN
+BNA 31	6	FPN
+BNA 99	6	FPN
+BNA 137	6	FPN
+BNA 147	6	FPN
+BNA 177	6	FPN
+BNA 3	7	DMN
+BNA 5	7	DMN
+BNA 11	7	DMN
+BNA 13	7	DMN
+BNA 23	7	DMN
+BNA 27	7	DMN
+BNA 33	7	DMN
+BNA 35	7	DMN
+BNA 39	7	DMN
+BNA 41	7	DMN
+BNA 43	7	DMN
+BNA 51	7	DMN
+BNA 79	7	DMN
+BNA 81	7	DMN
+BNA 83	7	DMN
+BNA 87	7	DMN
+BNA 95	7	DMN
+BNA 113	7	DMN
+BNA 121	7	DMN
+BNA 123	7	DMN
+BNA 141	7	DMN
+BNA 143	7	DMN
+BNA 151	7	DMN
+BNA 153	7	DMN
+BNA 165	7	DMN
+BNA 175	7	DMN
+BNA 179	7	DMN
+BNA 181	7	DMN
+BNA 187	7	DMN
+BNA 211	8	subcortical
+BNA 213	8	subcortical
+BNA 215	8	subcortical
+BNA 217	8	subcortical
+BNA 219	8	subcortical
+BNA 221	8	subcortical
+BNA 223	8	subcortical
+BNA 225	8	subcortical
+BNA 227	8	subcortical
+BNA 229	8	subcortical
+BNA 231	8	subcortical
+BNA 233	8	subcortical
+BNA 235	8	subcortical
+BNA 237	8	subcortical
+BNA 239	8	subcortical
+BNA 241	8	subcortical
+BNA 243	8	subcortical
+BNA 245	8	subcortical
+BNA 106	1	Visual
+BNA 108	1	Visual
+BNA 114	1	Visual
+BNA 120	1	Visual
+BNA 152	1	Visual
+BNA 190	1	Visual
+BNA 192	1	Visual
+BNA 194	1	Visual
+BNA 196	1	Visual
+BNA 198	1	Visual
+BNA 200	1	Visual
+BNA 202	1	Visual
+BNA 204	1	Visual
+BNA 206	1	Visual
+BNA 208	1	Visual
+BNA 210	1	Visual
+BNA 10	2	SMN
+BNA 54	2	SMN
+BNA 58	2	SMN
+BNA 60	2	SMN
+BNA 66	2	SMN
+BNA 68	2	SMN
+BNA 72	2	SMN
+BNA 74	2	SMN
+BNA 76	2	SMN
+BNA 80	2	SMN
+BNA 132	2	SMN
+BNA 156	2	SMN
+BNA 158	2	SMN
+BNA 160	2	SMN
+BNA 162	2	SMN
+BNA 164	2	SMN
+BNA 172	2	SMN
+BNA 8	3	DAN
+BNA 56	3	DAN
+BNA 64	3	DAN
+BNA 86	3	DAN
+BNA 92	3	DAN
+BNA 98	3	DAN
+BNA 126	3	DAN
+BNA 128	3	DAN
+BNA 130	3	DAN
+BNA 134	3	DAN
+BNA 136	3	DAN
+BNA 140	3	DAN
+BNA 148	3	DAN
+BNA 150	3	DAN
+BNA 2	4	VAN
+BNA 38	4	VAN
+BNA 62	4	VAN
+BNA 124	4	VAN
+BNA 146	4	VAN
+BNA 166	4	VAN
+BNA 168	4	VAN
+BNA 170	4	VAN
+BNA 174	4	VAN
+BNA 180	4	VAN
+BNA 184	4	VAN
+BNA 186	4	VAN
+BNA 46	5	limbic
+BNA 48	5	limbic
+BNA 50	5	limbic
+BNA 70	5	limbic
+BNA 78	5	limbic
+BNA 90	5	limbic
+BNA 94	5	limbic
+BNA 96	5	limbic
+BNA 102	5	limbic
+BNA 104	5	limbic
+BNA 110	5	limbic
+BNA 112	5	limbic
+BNA 116	5	limbic
+BNA 118	5	limbic
+BNA 16	6	FPN
+BNA 18	6	FPN
+BNA 20	6	FPN
+BNA 22	6	FPN
+BNA 24	6	FPN
+BNA 26	6	FPN
+BNA 28	6	FPN
+BNA 30	6	FPN
+BNA 32	6	FPN
+BNA 34	6	FPN
+BNA 36	6	FPN
+BNA 40	6	FPN
+BNA 100	6	FPN
+BNA 138	6	FPN
+BNA 142	6	FPN
+BNA 4	7	DMN
+BNA 6	7	DMN
+BNA 12	7	DMN
+BNA 14	7	DMN
+BNA 42	7	DMN
+BNA 44	7	DMN
+BNA 52	7	DMN
+BNA 82	7	DMN
+BNA 84	7	DMN
+BNA 88	7	DMN
+BNA 122	7	DMN
+BNA 144	7	DMN
+BNA 154	7	DMN
+BNA 176	7	DMN
+BNA 178	7	DMN
+BNA 182	7	DMN
+BNA 188	7	DMN
+BNA 212	8	subcortical
+BNA 214	8	subcortical
+BNA 216	8	subcortical
+BNA 218	8	subcortical
+BNA 220	8	subcortical
+BNA 222	8	subcortical
+BNA 224	8	subcortical
+BNA 226	8	subcortical
+BNA 228	8	subcortical
+BNA 230	8	subcortical
+BNA 232	8	subcortical
+BNA 234	8	subcortical
+BNA 236	8	subcortical
+BNA 238	8	subcortical
+BNA 240	8	subcortical
+BNA 242	8	subcortical
+BNA 244	8	subcortical
+BNA 246	8	subcortical
\ No newline at end of file
diff --git a/MEG/meg_datacheck_jn.ipynb b/MEG/meg_datacheck_jn.ipynb
new file mode 100644
index 0000000..fcd74f4
--- /dev/null
+++ b/MEG/meg_datacheck_jn.ipynb
@@ -0,0 +1,328466 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Notebook for quality control of MEG data\n",
+    "\n",
+    "Authors: Lucas Breedt & Mona Zimmerman\n",
+    "\n",
+    "This notebook is meant to help in checking MEG data.  \n",
+    "Note that pre-processing of the data is not included in this notebook -- it assumes data have already been processed"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Table of contents\n",
+    "1. [Imports](#imports)\n",
+    "2. [Load data](#load-data)\n",
+    "3. [Checking the data - I](#data-check-1)  \n",
+    "    a. [Visual inspection of the epochs](#visual-inspection)  \n",
+    "    b. [The power spectrum](#power-spectrum)  \n",
+    "4. [Fast Fourier transform & defining functional connectivity](#fft-fc)  \n",
+    "    a. [The Phase Lag Index (PLI)](#pli)  \n",
+    "    b. [The Amplitude Envelope Correlation (AEC)](#aec)\n",
+    "5. [Checking the data - II](#data-check-2)  \n",
+    "    a. [Adjacency matrices](#adjacency-matrix)  \n",
+    "    b. [Check for weird/empty signals](#check-signal)  \n",
+    "    c. [The occipital network](#occ-network)  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "### TO DO:\n",
+    "# --- calculate PLI for multiple/all epochs (of multiple subs)\n",
+    "# --- compare plot & AEC to BrainWave\n",
+    "# --- check/improve structure of notebook\n",
+    "# --- check imports (which are and which aren't necessary?)\n",
+    "# --- improve/clean up/add text & explanation\n",
+    "# --- set up similarly to Eduarda & Fernando's TDA notebook - functions separately?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a id='imports'></a>\n",
+    "## **1.** Imports\n",
+    "#### Let's first import all the necessary packages..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Basic libraries\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "import plotly.graph_objects as go\n",
+    "from plotly.graph_objects import Layout, YAxis, Scatter, Annotation, Annotations, Data, Figure, Marker, Font\n",
+    "from tqdm import tqdm\n",
+    "import matplotlib as mpl\n",
+    "import scipy\n",
+    "import statsmodels.api as sm\n",
+    "import math\n",
+    "import os\n",
+    "\n",
+    "# Signal processing libraries\n",
+    "from scipy import signal\n",
+    "from scipy.signal import hilbert\n",
+    "from scipy.fft import fft, irfft2, ifft2, irfftn, irfft, ifft\n",
+    "from scipy.fftpack import hilbert\n",
+    "\n",
+    "# Set seaborn style for plot syling\n",
+    "sns.set()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "import statsmodels.api as sm\n",
+    "import math\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a id='load-data'></a>\n",
+    "## **2.** Load data\n",
+    "#### ...and load the MEG data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Loading a single ascii of one subject\n",
+    "#file = pd.read_csv('/home/kingwizard/mumo_projects/meg_datacheck/meg_data/sub_01/OD1_Tr01.asc', \n",
+    " #                  delimiter='\\t', header=None, index_col=False)\n",
+    "\n",
+    "file = pd.read_csv('/mnt/resource/m.zimmermann/move/meg_data/sub-0004/T1/BNA/0004_Tr01.asc', \n",
+    "                   delimiter='\\t', header=None, index_col=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load all asciis\n",
+    "### --- I guess for one sub for now - would be nice to write some sort of loop/function to do it for all\n",
+    "### --- subs in a folder "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "##### The shape of the file should be the number of samples in your epoch x the number of regions; so let's do a quick check just to make sure:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(16384, 246)"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "file.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Convert the data from a dataframe to a numpy array for future operations\n",
+    "file_np = file.to_numpy()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a id='data-check-1'></a>\n",
+    "## **3.** Checking the data - I\n",
+    "<a id='visual-inspection'></a>\n",
+    "### a. Visual inspection of the epochs\n",
+    "As a quick visual check of your data, we'll now plot the first 3 seconds of data of every 10th region of one epoch; this should give you a global overview of the data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [],
+   "source": [
+    "### --- should regions be a list? so people can decide which regions they want to include? and then maybe\n",
+    "### --- we can add a parameter to choose between every nth channel or exact specified channels\n",
+    "def plot_timeseries(file_np, fs=1250, seconds_to_plot=3, start=0, regions=210, step=10):\n",
+    "    \"\"\" Plot several seconds of data from multiple channels of timeseries data\n",
+    "    \n",
+    "    Parameters\n",
+    "    ----------\n",
+    "    file_np: ndarray\n",
+    "        Rows are timepoints, columns are rois/electrodes\n",
+    "    fs: int, optional\n",
+    "        Sample frequency, default=1250\n",
+    "    seconds_to_plot: int, optional\n",
+    "        Amount of seconds of data to be plotted, default=3 seconds\n",
+    "    start: int, optional\n",
+    "        Starting point of plot, default=0 (ie beginning of timeseries)\n",
+    "    regions: int, ndarray, optional\n",
+    "        Number or range of regions you wish to use\n",
+    "    step: int, optional\n",
+    "        Plot every nth channel, default=10 (ie plot every 10th channel)\n",
+    "        \n",
+    "    Returns\n",
+    "    -------\n",
+    "    plot?\n",
+    "        \n",
+    "    Notes\n",
+    "    -----\n",
+    "    Code used in this function was adapted from https://plotly.com/python/v3/ipython-notebooks/mne-tutorial/\n",
+    "\n",
+    "    \"\"\"\n",
+    "\n",
+    "    ns = file.shape[0] # total number of samples per epoch\n",
+    "    time = np.linspace(0, ns/fs, ns) # time in seconds per sample\n",
+    "    time_stp = time[fs*start:(fs*start + (fs*seconds_to_plot -1))] # this will be the x-axis of the plot, indicating the time in seconds\n",
+    "    file_stp = file_np[fs*start:(fs*start + (fs*seconds_to_plot -1))] # this is a subset of the epoch, containing stp seconds of data\n",
+    "    \n",
+    "    if type(regions) != int:\n",
+    "        channels = np.arange(regions[0], regions[-1]+1, step=step)\n",
+    "    else:\n",
+    "        channels = np.arange(step-1, regions, step=step)\n",
+    "        \n",
+    "    n_channels = len(channels)\n",
+    "    \n",
+    "    step = 1. / n_channels\n",
+    "    kwargs = dict(domain=[1 - step, 1], showticklabels=False, zeroline=False, showgrid=False)\n",
+    "    \n",
+    "    # create objects for layout and traces\n",
+    "    layout = Layout(yaxis=YAxis(kwargs), showlegend=False)\n",
+    "    traces = [Scatter(x=time_stp, y=file_stp[:, 0])]\n",
+    "    \n",
+    "    # loop over the channels\n",
+    "    for ii in range(1, n_channels):\n",
+    "            kwargs.update(domain=[1 - (ii + 1) * step, 1 - ii * step])\n",
+    "            layout.update({'yaxis%d' % (ii + 1): YAxis(kwargs), 'showlegend': False})\n",
+    "            traces.append(Scatter(x=time_stp, y=file_stp[:, channels[ii]], yaxis='y%d' % (ii + 1)))\n",
+    "    \n",
+    "    # add channel names using Annotations\n",
+    "    annotations = Annotations([go.layout.Annotation(x=-0.06, y=0, xref='paper', yref='y%d' % (ii + 1), \n",
+    "                                                    text='ROI ' + str(channels[ii] + 1), showarrow=False)\n",
+    "                              for ii in range(0, n_channels)])\n",
+    "    layout.update(annotations=annotations)\n",
+    "    \n",
+    "    # set the size of the figure and plot it\n",
+    "    layout.update(autosize=False, width=1000, height=800, \n",
+    "                  title={'text':'<b>Time: '+str(start)+'s - '+str(start+seconds_to_plot)+'s</b>',\n",
+    "                         'y':0.9,\n",
+    "                         'x':0.5,\n",
+    "                        'yanchor':'top',\n",
+    "                        'xanchor':'center'},\n",
+    "                  xaxis=dict(showticklabels=False, tickmode='array', tickvals=np.arange(start+1, \n",
+    "                                                                                        start+seconds_to_plot+1, 1)))\n",
+    "    #x_values = list(range(1,11))\n",
+    "    #xaxes_dict = [dict(x=x_val, y=-0.5, xref='x', yref='y10', text=str(x_val), \n",
+    "    #                   showarrow=False) for x_val in x_values]\n",
+    "    #xaxis_title = [dict(x=2.6, y=-0.5, xref='x', yref='y10', text=\"Time (s)\", showarrow=False)]\n",
+    "    #axes_dict = xaxes_dict + xaxis_title + yaxes_dict \n",
+    "    #layout.update(annotations=axes_dict)\n",
+    "    fig = Figure(data=Data(traces), layout=layout)\n",
+    "    \n",
+    "    return go.Figure(fig)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "##### You'll have to set some variables first; change these to fit your needs."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fs = 1250 # sample size; so this is the amount of samples per second\n",
+    "seconds_to_plot = 3 # indicate how many seconds of data you want to plot\n",
+    "start = 0 # start-time of plot in seconds; indicate where you want plot to start (default = 0 for first stp s) #REVIEW: what does stp mean? \n",
+    "regions = 210 # number or range of regions you wish to use\n",
+    "step = 10 # set step size, every nth channel is plotted; default is 10, e.g. 1 would be every channel"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "##### And, finally, here is the plot, displaying a couple seconds of the timeseries of every 10th region of the epoch:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/mnt/software/anaconda3/lib/python3.8/site-packages/plotly/graph_objs/_deprecations.py:572: DeprecationWarning: plotly.graph_objs.YAxis is deprecated.\n",
+      "Please replace it with one of the following more specific types\n",
+      "  - plotly.graph_objs.layout.YAxis\n",
+      "  - plotly.graph_objs.layout.scene.YAxis\n",
+      "\n",
+      "  warnings.warn(\n",
+      "/mnt/software/anaconda3/lib/python3.8/site-packages/plotly/graph_objs/_deprecations.py:62: DeprecationWarning: plotly.graph_objs.Annotations is deprecated.\n",
+      "Please replace it with a list or tuple of instances of the following types\n",
+      "  - plotly.graph_objs.layout.Annotation\n",
+      "  - plotly.graph_objs.layout.scene.Annotation\n",
+      "\n",
+      "  warnings.warn(\n",
+      "/mnt/software/anaconda3/lib/python3.8/site-packages/plotly/graph_objs/_deprecations.py:31: DeprecationWarning: plotly.graph_objs.Data is deprecated.\n",
+      "Please replace it with a list or tuple of instances of the following types\n",
+      "  - plotly.graph_objs.Scatter\n",
+      "  - plotly.graph_objs.Bar\n",
+      "  - plotly.graph_objs.Area\n",
+      "  - plotly.graph_objs.Histogram\n",
+      "  - etc.\n",
+      "\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "        <script type=\"text/javascript\">\n",
+       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
+       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
+       "        if (typeof require !== 'undefined') {\n",
+       "        require.undef(\"plotly\");\n",
+       "        define('plotly', function(require, exports, module) {\n",
+       "            /**\n",
+       "* plotly.js v1.56.0\n",
+       "* Copyright 2012-2020, Plotly, Inc.\n",
+       "* All rights reserved.\n",
+       "* Licensed under the MIT license\n",
+       "*/\n",
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+       "/*!\n",
+       " * The buffer module from node.js, for the browser.\n",
+       " *\n",
+       " * @author   Feross Aboukhadijeh <feross@feross.org> <http://feross.org>\n",
+       " * @license  MIT\n",
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this._expand(r+1),this.words[r]=e?this.words[r]|1<<a:this.words[r]&~(1<<a),this.strip()},i.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var a=0,i=0;i<n.length;i++)e=(0|r.words[i])+(0|n.words[i])+a,this.words[i]=67108863&e,a=e>>>26;for(;0!==a&&i<r.length;i++)e=(0|r.words[i])+a,this.words[i]=67108863&e,a=e>>>26;if(this.length=r.length,0!==a)this.words[this.length]=a,this.length++;else if(r!==this)for(;i<r.length;i++)this.words[i]=r.words[i];return this},i.prototype.add=function(t){var e;return 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)},i.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,a=this.cmp(t);if(0===a)return this.negative=0,this.length=1,this.words[0]=0,this;a>0?(r=this,n=t):(r=t,n=this);for(var i=0,o=0;o<n.length;o++)i=(e=(0|r.words[o])-(0|n.words[o])+i)>>26,this.words[o]=67108863&e;for(;0!==i&&o<r.length;o++)i=(e=(0|r.words[o])+i)>>26,this.words[o]=67108863&e;if(0===i&&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()},i.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var n,a,i,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],h=8191&u,f=u>>>13,p=0|o[1],d=8191&p,g=p>>>13,m=0|o[2],v=8191&m,y=m>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,M=0|o[5],A=8191&M,S=M>>>13,E=0|o[6],C=8191&E,L=E>>>13,P=0|o[7],I=8191&P,z=P>>>13,O=0|o[8],D=8191&O,R=O>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Y=0|s[2],W=8191&Y,Z=Y>>>13,X=0|s[3],J=8191&X,K=X>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,at=0|s[6],it=8191&at,ot=at>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ht=8191&ut,ft=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var mt=(c+(n=Math.imul(h,U))|0)+((8191&(a=(a=Math.imul(h,V))+Math.imul(f,U)|0))<<13)|0;c=((i=Math.imul(f,V))+(a>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(d,U),a=(a=Math.imul(d,V))+Math.imul(g,U)|0,i=Math.imul(g,V);var vt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(a=(a=a+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((i=i+Math.imul(f,G)|0)+(a>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),a=(a=Math.imul(v,V))+Math.imul(y,U)|0,i=Math.imul(y,V),n=n+Math.imul(d,H)|0,a=(a=a+Math.imul(d,G)|0)+Math.imul(g,H)|0,i=i+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(a=(a=a+Math.imul(h,Z)|0)+Math.imul(f,W)|0))<<13)|0;c=((i=i+Math.imul(f,Z)|0)+(a>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),a=(a=Math.imul(b,V))+Math.imul(_,U)|0,i=Math.imul(_,V),n=n+Math.imul(v,H)|0,a=(a=a+Math.imul(v,G)|0)+Math.imul(y,H)|0,i=i+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,a=(a=a+Math.imul(d,Z)|0)+Math.imul(g,W)|0,i=i+Math.imul(g,Z)|0;var xt=(c+(n=n+Math.imul(h,J)|0)|0)+((8191&(a=(a=a+Math.imul(h,K)|0)+Math.imul(f,J)|0))<<13)|0;c=((i=i+Math.imul(f,K)|0)+(a>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),a=(a=Math.imul(T,V))+Math.imul(k,U)|0,i=Math.imul(k,V),n=n+Math.imul(b,H)|0,a=(a=a+Math.imul(b,G)|0)+Math.imul(_,H)|0,i=i+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,a=(a=a+Math.imul(v,Z)|0)+Math.imul(y,W)|0,i=i+Math.imul(y,Z)|0,n=n+Math.imul(d,J)|0,a=(a=a+Math.imul(d,K)|0)+Math.imul(g,J)|0,i=i+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(a=(a=a+Math.imul(h,tt)|0)+Math.imul(f,$)|0))<<13)|0;c=((i=i+Math.imul(f,tt)|0)+(a>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(A,U),a=(a=Math.imul(A,V))+Math.imul(S,U)|0,i=Math.imul(S,V),n=n+Math.imul(T,H)|0,a=(a=a+Math.imul(T,G)|0)+Math.imul(k,H)|0,i=i+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,a=(a=a+Math.imul(b,Z)|0)+Math.imul(_,W)|0,i=i+Math.imul(_,Z)|0,n=n+Math.imul(v,J)|0,a=(a=a+Math.imul(v,K)|0)+Math.imul(y,J)|0,i=i+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,a=(a=a+Math.imul(d,tt)|0)+Math.imul(g,$)|0,i=i+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(a=(a=a+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((i=i+Math.imul(f,nt)|0)+(a>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(C,U),a=(a=Math.imul(C,V))+Math.imul(L,U)|0,i=Math.imul(L,V),n=n+Math.imul(A,H)|0,a=(a=a+Math.imul(A,G)|0)+Math.imul(S,H)|0,i=i+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,a=(a=a+Math.imul(T,Z)|0)+Math.imul(k,W)|0,i=i+Math.imul(k,Z)|0,n=n+Math.imul(b,J)|0,a=(a=a+Math.imul(b,K)|0)+Math.imul(_,J)|0,i=i+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,a=(a=a+Math.imul(v,tt)|0)+Math.imul(y,$)|0,i=i+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,a=(a=a+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,i=i+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(h,it)|0)|0)+((8191&(a=(a=a+Math.imul(h,ot)|0)+Math.imul(f,it)|0))<<13)|0;c=((i=i+Math.imul(f,ot)|0)+(a>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),a=(a=Math.imul(I,V))+Math.imul(z,U)|0,i=Math.imul(z,V),n=n+Math.imul(C,H)|0,a=(a=a+Math.imul(C,G)|0)+Math.imul(L,H)|0,i=i+Math.imul(L,G)|0,n=n+Math.imul(A,W)|0,a=(a=a+Math.imul(A,Z)|0)+Math.imul(S,W)|0,i=i+Math.imul(S,Z)|0,n=n+Math.imul(T,J)|0,a=(a=a+Math.imul(T,K)|0)+Math.imul(k,J)|0,i=i+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,a=(a=a+Math.imul(b,tt)|0)+Math.imul(_,$)|0,i=i+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,a=(a=a+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,i=i+Math.imul(y,nt)|0,n=n+Math.imul(d,it)|0,a=(a=a+Math.imul(d,ot)|0)+Math.imul(g,it)|0,i=i+Math.imul(g,ot)|0;var Tt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(a=(a=a+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((i=i+Math.imul(f,ct)|0)+(a>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),a=(a=Math.imul(D,V))+Math.imul(R,U)|0,i=Math.imul(R,V),n=n+Math.imul(I,H)|0,a=(a=a+Math.imul(I,G)|0)+Math.imul(z,H)|0,i=i+Math.imul(z,G)|0,n=n+Math.imul(C,W)|0,a=(a=a+Math.imul(C,Z)|0)+Math.imul(L,W)|0,i=i+Math.imul(L,Z)|0,n=n+Math.imul(A,J)|0,a=(a=a+Math.imul(A,K)|0)+Math.imul(S,J)|0,i=i+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,a=(a=a+Math.imul(T,tt)|0)+Math.imul(k,$)|0,i=i+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,a=(a=a+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,i=i+Math.imul(_,nt)|0,n=n+Math.imul(v,it)|0,a=(a=a+Math.imul(v,ot)|0)+Math.imul(y,it)|0,i=i+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,a=(a=a+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,i=i+Math.imul(g,ct)|0;var kt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(a=(a=a+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((i=i+Math.imul(f,ft)|0)+(a>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),a=(a=Math.imul(B,V))+Math.imul(N,U)|0,i=Math.imul(N,V),n=n+Math.imul(D,H)|0,a=(a=a+Math.imul(D,G)|0)+Math.imul(R,H)|0,i=i+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,a=(a=a+Math.imul(I,Z)|0)+Math.imul(z,W)|0,i=i+Math.imul(z,Z)|0,n=n+Math.imul(C,J)|0,a=(a=a+Math.imul(C,K)|0)+Math.imul(L,J)|0,i=i+Math.imul(L,K)|0,n=n+Math.imul(A,$)|0,a=(a=a+Math.imul(A,tt)|0)+Math.imul(S,$)|0,i=i+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,a=(a=a+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,i=i+Math.imul(k,nt)|0,n=n+Math.imul(b,it)|0,a=(a=a+Math.imul(b,ot)|0)+Math.imul(_,it)|0,i=i+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,a=(a=a+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,i=i+Math.imul(y,ct)|0,n=n+Math.imul(d,ht)|0,a=(a=a+Math.imul(d,ft)|0)+Math.imul(g,ht)|0,i=i+Math.imul(g,ft)|0;var Mt=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(a=(a=a+Math.imul(h,gt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((i=i+Math.imul(f,gt)|0)+(a>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,H),a=(a=Math.imul(B,G))+Math.imul(N,H)|0,i=Math.imul(N,G),n=n+Math.imul(D,W)|0,a=(a=a+Math.imul(D,Z)|0)+Math.imul(R,W)|0,i=i+Math.imul(R,Z)|0,n=n+Math.imul(I,J)|0,a=(a=a+Math.imul(I,K)|0)+Math.imul(z,J)|0,i=i+Math.imul(z,K)|0,n=n+Math.imul(C,$)|0,a=(a=a+Math.imul(C,tt)|0)+Math.imul(L,$)|0,i=i+Math.imul(L,tt)|0,n=n+Math.imul(A,rt)|0,a=(a=a+Math.imul(A,nt)|0)+Math.imul(S,rt)|0,i=i+Math.imul(S,nt)|0,n=n+Math.imul(T,it)|0,a=(a=a+Math.imul(T,ot)|0)+Math.imul(k,it)|0,i=i+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,a=(a=a+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,i=i+Math.imul(_,ct)|0,n=n+Math.imul(v,ht)|0,a=(a=a+Math.imul(v,ft)|0)+Math.imul(y,ht)|0,i=i+Math.imul(y,ft)|0;var At=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(a=(a=a+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((i=i+Math.imul(g,gt)|0)+(a>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,W),a=(a=Math.imul(B,Z))+Math.imul(N,W)|0,i=Math.imul(N,Z),n=n+Math.imul(D,J)|0,a=(a=a+Math.imul(D,K)|0)+Math.imul(R,J)|0,i=i+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,a=(a=a+Math.imul(I,tt)|0)+Math.imul(z,$)|0,i=i+Math.imul(z,tt)|0,n=n+Math.imul(C,rt)|0,a=(a=a+Math.imul(C,nt)|0)+Math.imul(L,rt)|0,i=i+Math.imul(L,nt)|0,n=n+Math.imul(A,it)|0,a=(a=a+Math.imul(A,ot)|0)+Math.imul(S,it)|0,i=i+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,a=(a=a+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,i=i+Math.imul(k,ct)|0,n=n+Math.imul(b,ht)|0,a=(a=a+Math.imul(b,ft)|0)+Math.imul(_,ht)|0,i=i+Math.imul(_,ft)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(a=(a=a+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((i=i+Math.imul(y,gt)|0)+(a>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),a=(a=Math.imul(B,K))+Math.imul(N,J)|0,i=Math.imul(N,K),n=n+Math.imul(D,$)|0,a=(a=a+Math.imul(D,tt)|0)+Math.imul(R,$)|0,i=i+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,a=(a=a+Math.imul(I,nt)|0)+Math.imul(z,rt)|0,i=i+Math.imul(z,nt)|0,n=n+Math.imul(C,it)|0,a=(a=a+Math.imul(C,ot)|0)+Math.imul(L,it)|0,i=i+Math.imul(L,ot)|0,n=n+Math.imul(A,lt)|0,a=(a=a+Math.imul(A,ct)|0)+Math.imul(S,lt)|0,i=i+Math.imul(S,ct)|0,n=n+Math.imul(T,ht)|0,a=(a=a+Math.imul(T,ft)|0)+Math.imul(k,ht)|0,i=i+Math.imul(k,ft)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(a=(a=a+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((i=i+Math.imul(_,gt)|0)+(a>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),a=(a=Math.imul(B,tt))+Math.imul(N,$)|0,i=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,a=(a=a+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,i=i+Math.imul(R,nt)|0,n=n+Math.imul(I,it)|0,a=(a=a+Math.imul(I,ot)|0)+Math.imul(z,it)|0,i=i+Math.imul(z,ot)|0,n=n+Math.imul(C,lt)|0,a=(a=a+Math.imul(C,ct)|0)+Math.imul(L,lt)|0,i=i+Math.imul(L,ct)|0,n=n+Math.imul(A,ht)|0,a=(a=a+Math.imul(A,ft)|0)+Math.imul(S,ht)|0,i=i+Math.imul(S,ft)|0;var Ct=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(a=(a=a+Math.imul(T,gt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((i=i+Math.imul(k,gt)|0)+(a>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,rt),a=(a=Math.imul(B,nt))+Math.imul(N,rt)|0,i=Math.imul(N,nt),n=n+Math.imul(D,it)|0,a=(a=a+Math.imul(D,ot)|0)+Math.imul(R,it)|0,i=i+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,a=(a=a+Math.imul(I,ct)|0)+Math.imul(z,lt)|0,i=i+Math.imul(z,ct)|0,n=n+Math.imul(C,ht)|0,a=(a=a+Math.imul(C,ft)|0)+Math.imul(L,ht)|0,i=i+Math.imul(L,ft)|0;var Lt=(c+(n=n+Math.imul(A,dt)|0)|0)+((8191&(a=(a=a+Math.imul(A,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((i=i+Math.imul(S,gt)|0)+(a>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,it),a=(a=Math.imul(B,ot))+Math.imul(N,it)|0,i=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,a=(a=a+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,i=i+Math.imul(R,ct)|0,n=n+Math.imul(I,ht)|0,a=(a=a+Math.imul(I,ft)|0)+Math.imul(z,ht)|0,i=i+Math.imul(z,ft)|0;var Pt=(c+(n=n+Math.imul(C,dt)|0)|0)+((8191&(a=(a=a+Math.imul(C,gt)|0)+Math.imul(L,dt)|0))<<13)|0;c=((i=i+Math.imul(L,gt)|0)+(a>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),a=(a=Math.imul(B,ct))+Math.imul(N,lt)|0,i=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,a=(a=a+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,i=i+Math.imul(R,ft)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(a=(a=a+Math.imul(I,gt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((i=i+Math.imul(z,gt)|0)+(a>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ht),a=(a=Math.imul(B,ft))+Math.imul(N,ht)|0,i=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(a=(a=a+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((i=i+Math.imul(R,gt)|0)+(a>>>13)|0)+(zt>>>26)|0,zt&=67108863;var Ot=(c+(n=Math.imul(B,dt))|0)+((8191&(a=(a=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((i=Math.imul(N,gt))+(a>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,l[0]=mt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=Mt,l[10]=At,l[11]=St,l[12]=Et,l[13]=Ct,l[14]=Lt,l[15]=Pt,l[16]=It,l[17]=zt,l[18]=Ot,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(p=f),i.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?f(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,a=0,i=0;i<r.length-1;i++){var o=a;a=0;for(var s=67108863&n,l=Math.min(i,e.length-1),c=Math.max(0,i-t.length+1);c<=l;c++){var u=i-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),a+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863}r.words[i]=s,n=o,o=a}return 0!==n?r.words[i]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=i.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,a=0;a<e;a++)n|=(1&t)<<e-a-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,a,i){for(var o=0;o<i;o++)n[o]=e[t[o]],a[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,a,i){this.permute(i,t,e,r,n,a);for(var o=1;o<a;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<a;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],m=r[u+p+o],v=n[u+p+o],y=h*m-f*v;v=h*v+f*m,m=y,r[u+p]=d+m,n[u+p]=g+v,r[u+p+o]=d-m,n[u+p+o]=g-v,p!==s&&(y=l*h-c*f,f=l*f+c*h,h=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,a=0;for(r=r/2|0;r;r>>>=1)a++;return 1<<a+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var a=t[n];t[n]=t[r-n-1],t[r-n-1]=a,a=e[n],e[n]=-e[r-n-1],e[r-n-1]=-a}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var a=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&a,r=a<67108864?0:a/67108864|0}return t},g.prototype.convert13b=function(t,e,r,a){for(var i=0,o=0;o<e;o++)i+=0|t[o],r[2*o]=8191&i,i>>>=13,r[2*o+1]=8191&i,i>>>=13;for(o=2*e;o<a;++o)r[o]=0;n(0===i),n(0==(-8192&i))},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),a=this.makeRBT(n),i=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,i,s,l,n,a),this.transform(c,i,u,h,n,a);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*h[p];l[p]=s[p]*h[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,f,i,n,a),this.conjugate(f,i,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},i.prototype.mul=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},i.prototype.mulf=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),d(this,t,e)},i.prototype.imul=function(t){return this.clone().mulTo(t,this)},i.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var a=(0|this.words[r])*t,i=(67108863&a)+(67108863&e);e>>=26,e+=a/67108864|0,e+=i>>>26,this.words[r]=67108863&i}return 0!==e&&(this.words[r]=e,this.length++),this},i.prototype.muln=function(t){return this.clone().imuln(t)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.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,a=r%26;e[r]=(t.words[n]&1<<a)>>>a}return e}(t);if(0===e.length)return new i(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var a=r.sqr();n<e.length;n++,a=a.sqr())0!==e[n]&&(r=r.mul(a));return r},i.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,a=(t-r)/26,i=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&i,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!==a){for(e=this.length-1;e>=0;e--)this.words[e+a]=this.words[e];for(e=0;e<a;e++)this.words[e]=0;this.length+=a}return this.strip()},i.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},i.prototype.iushrn=function(t,e,r){var a;n(\"number\"==typeof t&&t>=0),a=e?(e-e%26)/26:0;var i=t%26,o=Math.min((t-i)/26,this.length),s=67108863^67108863>>>i<<i,l=r;if(a-=o,a=Math.max(0,a),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=a);c--){var h=0|this.words[c];this.words[c]=u<<26-i|h>>>i,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},i.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},i.prototype.shln=function(t){return this.clone().ishln(t)},i.prototype.ushln=function(t){return this.clone().iushln(t)},i.prototype.shrn=function(t){return this.clone().ishrn(t)},i.prototype.ushrn=function(t){return this.clone().iushrn(t)},i.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,a=1<<e;return!(this.length<=r)&&!!(this.words[r]&a)},i.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 a=67108863^67108863>>>e<<e;this.words[this.length-1]&=a}return this.strip()},i.prototype.maskn=function(t){return this.clone().imaskn(t)},i.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)},i.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},i.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()},i.prototype.addn=function(t){return this.clone().iaddn(t)},i.prototype.subn=function(t){return this.clone().isubn(t)},i.prototype.iabs=function(){return this.negative=0,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(t,e,r){var a,i,o=t.length+r;this._expand(o);var s=0;for(a=0;a<t.length;a++){i=(0|this.words[a+r])+s;var l=(0|t.words[a])*e;s=((i-=67108863&l)>>26)-(l/67108864|0),this.words[a+r]=67108863&i}for(;a<this.length-r;a++)s=(i=(0|this.words[a+r])+s)>>26,this.words[a+r]=67108863&i;if(0===s)return this.strip();for(n(-1===s),s=0,a=0;a<this.length;a++)s=(i=-(0|this.words[a])+s)>>26,this.words[a]=67108863&i;return this.negative=1,this.strip()},i.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),a=t,o=0|a.words[a.length-1];0!==(r=26-this._countBits(o))&&(a=a.ushln(r),n.iushln(r),o=0|a.words[a.length-1]);var s,l=n.length-a.length;if(\"mod\"!==e){(s=new i(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(a,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[a.length+h])+(0|n.words[a.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(a,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(a,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},i.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(a=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:a,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(a=s.div.neg()),{div:a,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 i(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new i(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new i(this.modn(t.words[0]))}:this._wordDiv(t,e);var a,o,s},i.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},i.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},i.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},i.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),a=t.andln(1),i=r.cmp(n);return i<0||1===a&&0===i?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,a=this.length-1;a>=0;a--)r=(e*r+(0|this.words[a]))%t;return r},i.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var a=(0|this.words[r])+67108864*e;this.words[r]=a/t|0,e=a%t}return this.strip()},i.prototype.divn=function(t){return this.clone().idivn(t)},i.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 a=new i(1),o=new i(0),s=new i(0),l=new i(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(a.isOdd()||o.isOdd())&&(a.iadd(u),o.isub(h)),a.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),a.isub(s),o.isub(l)):(r.isub(e),s.isub(a),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},i.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 a,o=new i(1),s=new i(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >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(a=0===e.cmpn(1)?o:s).cmpn(0)<0&&a.iadd(t),a},i.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 a=e.cmp(r);if(a<0){var i=e;e=r,r=i}else if(0===a||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},i.prototype.invm=function(t){return this.egcd(t).a.umod(t)},i.prototype.isEven=function(){return 0==(1&this.words[0])},i.prototype.isOdd=function(){return 1==(1&this.words[0])},i.prototype.andln=function(t){return this.words[0]&t},i.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,a=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=a,this;for(var i=a,o=r;0!==i&&o<this.length;o++){var s=0|this.words[o];i=(s+=i)>>>26,s&=67108863,this.words[o]=s}return 0!==i&&(this.words[o]=i,this.length++),this},i.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},i.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 a=0|this.words[0];e=a===t?0:a<t?-1:1}return 0!==this.negative?0|-e:e},i.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},i.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],a=0|t.words[r];if(n!==a){n<a?e=-1:n>a&&(e=1);break}}return e},i.prototype.gtn=function(t){return 1===this.cmpn(t)},i.prototype.gt=function(t){return 1===this.cmp(t)},i.prototype.gten=function(t){return this.cmpn(t)>=0},i.prototype.gte=function(t){return this.cmp(t)>=0},i.prototype.ltn=function(t){return-1===this.cmpn(t)},i.prototype.lt=function(t){return-1===this.cmp(t)},i.prototype.lten=function(t){return this.cmpn(t)<=0},i.prototype.lte=function(t){return this.cmp(t)<=0},i.prototype.eqn=function(t){return 0===this.cmpn(t)},i.prototype.eq=function(t){return 0===this.cmp(t)},i.red=function(t){return new w(t)},i.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)},i.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},i.prototype._forceRed=function(t){return this.red=t,this},i.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},i.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},i.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},i.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},i.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},i.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},i.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},i.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},i.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},i.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},i.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},i.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},i.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},i.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var m={k256:null,p224:null,p192:null,p25519:null};function v(t,e){this.name=t,this.p=new i(e,16),this.n=this.p.bitLength(),this.k=new i(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function y(){v.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff 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r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),a=r.isub(n).iushrn(this.shift),o=a;return a.cmp(this.m)>=0?o=a.isub(this.m):a.cmpn(0)<0&&(o=a.iadd(this.m)),o._forceRed(this)},T.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(\"undefined\"==typeof e||e,this)},{buffer:108}],100:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,a=t.length,i=0;for(e=0;e<a;++e)i+=t[e].length;var o=new Array(i),s=0;for(e=0;e<a;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),h=0;for(n=0;n<c;++n)n!==r&&(u[h++]=l[n]);if(1&r){var f=u[1];u[1]=u[0],u[0]=f}}}return o}},{}],101:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return h(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):f(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,a=t(\"typedarray-pool\"),i=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function 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+       "/*!\n",
+       " * The buffer module from node.js, for the browser.\n",
+       " *\n",
+       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
+       " * @license  MIT\n",
+       " */\n",
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+       "/*!\n",
+       " * @overview es6-promise - a tiny implementation of Promises/A+.\n",
+       " * @copyright Copyright (c) 2014 Yehuda Katz, Tom Dale, Stefan Penner and contributors (Conversion to ES6 API by Jake Archibald)\n",
+       " * @license   Licensed under MIT license\n",
+       " *            See https://raw.githubusercontent.com/stefanpenner/es6-promise/master/LICENSE\n",
+       " * @version   v4.2.8+1e68dce6\n",
+       " */\n",
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i=e(t,r.key);n.push(r),i<0&&(a=n.length),r=i<0?r.left:r.right}return n.length=a,new f(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],a=0;r;){var i=e(t,r.key);n.push(r),i>0&&(a=n.length),r=i<=0?r.left:r.right}return n.length=a,new f(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],a=0;r;){var i=e(t,r.key);n.push(r),i>=0&&(a=n.length),r=i<0?r.left:r.right}return n.length=a,new f(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var a=e(t,r.key);if(n.push(r),0===a)return new f(this,n);r=a<=0?r.left:r.right}return new f(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=f.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function g(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new f(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var h=e[e.length-2];h.left===r?h.left=null:h.right===r&&(h.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var f=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=a(n)).right=a(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=a(n)).left=a(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=i(0,n));r.right=i(0,n);continue}n=a(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=a(n)).left=a(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=a(n)).right=a(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=i(0,n));r.left=i(0,n);continue}var c;n=a(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),f.left===r?f.left=null:f.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),a=e[e.length-1];r[r.length-1]=new n(a._color,a.key,t,a.left,a.right,a._count);for(var i=e.length-2;i>=0;--i)(a=e[i]).left===e[i+1]?r[i]=new n(a._color,a.key,a.value,r[i+1],a.right,a._count):r[i]=new n(a._color,a.key,a.value,a.left,r[i+1],a._count);return new s(this.tree._compare,r[0])},p.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(p,\"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}})},{}],248:[function(t,e,r){var n=[.9999999999998099,676.5203681218851,-1259.1392167224028,771.3234287776531,-176.6150291621406,12.507343278686905,-.13857109526572012,9984369578019572e-21,1.5056327351493116e-7],a=[.9999999999999971,57.15623566586292,-59.59796035547549,14.136097974741746,-.4919138160976202,3399464998481189e-20,4652362892704858e-20,-9837447530487956e-20,.0001580887032249125,-.00021026444172410488,.00021743961811521265,-.0001643181065367639,8441822398385275e-20,-26190838401581408e-21,36899182659531625e-22];function i(t){if(t<0)return Number(\"0/0\");for(var e=a[0],r=a.length-1;r>0;--r)e+=a[r]/(t+r);var n=t+607/128+.5;return.5*Math.log(2*Math.PI)+(t+.5)*Math.log(n)-n+Math.log(e)-Math.log(t)}e.exports=function t(e){if(e<.5)return Math.PI/(Math.sin(Math.PI*e)*t(1-e));if(e>100)return Math.exp(i(e));e-=1;for(var r=n[0],a=1;a<9;a++)r+=n[a]/(e+a);var o=e+7+.5;return Math.sqrt(2*Math.PI)*Math.pow(o,e+.5)*Math.exp(-o)*r},e.exports.log=i},{}],249:[function(t,e,r){e.exports=function(t,e){if(\"string\"!=typeof t)throw new TypeError(\"must specify type string\");if(e=e||{},\"undefined\"==typeof document&&!e.canvas)return null;var r=e.canvas||document.createElement(\"canvas\");\"number\"==typeof e.width&&(r.width=e.width);\"number\"==typeof e.height&&(r.height=e.height);var n,a=e;try{var i=[t];0===t.indexOf(\"webgl\")&&i.push(\"experimental-\"+t);for(var o=0;o<i.length;o++)if(n=r.getContext(i[o],a))return n}catch(t){n=null}return n||null}},{}],250:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),a=t(\"./lib/lines.js\"),i=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],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=[0,0,0],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=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=i(t)}var h=u.prototype;function f(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}h.update=function(t){function e(e,r,n){if(n in t){var a,i=t[n],o=this[n];(e?Array.isArray(i)&&Array.isArray(i[0]):Array.isArray(i))?this[n]=a=[r(i[0]),r(i[1]),r(i[2])]:this[n]=a=[r(i),r(i),r(i)];for(var s=0;s<3;++s)if(a[s]!==o[s])return!0}return!1}t=t||{};var r,i=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,h=!1;if(\"bounds\"in t)for(var f=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)f[p][d]!==this.bounds[p][d]&&(h=!0),this.bounds[p][d]=f[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else i(\"tickSpacing\")&&(this.autoTicks=!0,h=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),h=!0,u=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),i(\"tickSize\"),i(\"tickAngle\"),i(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),i(\"labelSize\"),i(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),i(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),i(\"lineTickLength\"),i(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),i(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),i(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&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&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=a(this.gl,this.bounds,this.ticks))};var p=[new f,new f,new f];function d(t,e,r,n,a){for(var i=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=i,f=s,p=o,d=l;c&1<<u&&(h=s,f=i,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],a[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l,_ortho:!1};h.isOpaque=function(){return!0},h.isTransparent=function(){return!1},h.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];h.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,a=t.projection||l,i=this.bounds,s=t._ortho||!1,u=o(r,n,a,i,s),h=u.cubeEdges,f=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(a[3]*b+a[7]*_+a[11]*w+a[15]*T)/e.drawingBufferHeight,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=h[M],this.lastCubeProps.axis[M]=f[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,h,f);e=this.gl;var S,E=g;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=f[M]:E[M]=0;this._background.draw(r,n,a,i,E,this.backgroundColor),this._lines.bind(r,n,a,this);for(M=0;M<3;++M){var C=[0,0,0];f[M]>0?C[M]=i[1][M]:C[M]=i[0][M];for(var L=0;L<2;++L){var P=(M+1+L)%3,I=(M+1+(1^L))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,C,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(L=0;L<2;++L){P=(M+1+L)%3,I=(M+1+(1^L))%3;this.zeroEnable[I]&&Math.min(i[0][I],i[1][I])<=0&&Math.max(i[0][I],i[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,C,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var z=c(v,A[M].primalMinor),O=c(y,A[M].mirrorMinor),D=this.lineTickLength;for(L=0;L<3;++L){var R=k/r[5*L];z[L]*=D[L]*R,O[L]*=D[L]*R}this.lineTickEnable[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,O,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,a,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,a=(t+2)%3,i=e[n],o=e[a],s=r[n],l=r[a];i>0&&l>0||i>0&&l<0||i<0&&l>0||i<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(a)}for(M=0;M<3;++M){var U=A[M].primalMinor,V=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(L=0;L<3;++L)this.lineTickEnable[M]&&(q[L]+=k*U[L]*Math.max(this.lineTickLength[L],0)/r[5*L]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]=\"auto\"):this.tickAlign[M]=-1,F=1,\"auto\"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(M,U,V);for(L=0;L<3;++L)q[L]+=k*U[L]*this.tickPad[L]/r[5*L];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),\"auto\"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(L=0;L<3;++L)q[L]+=k*U[L]*this.labelPad[L]/r[5*L];q[M]+=.5*(i[0][M]+i[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[0,0,0],B,S)}}this._text.unbind()},h.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":251,\"./lib/cube.js\":252,\"./lib/lines.js\":253,\"./lib/text.js\":255,\"./lib/ticks.js\":256}],251:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var g=-1;g<=1;g+=2)h[u]=g,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var m=c;c=u,u=m}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=a(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=i(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").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,a,i){for(var o=!1,s=0;s<3;++s)o=o||a[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:a,colors:i},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()}},{\"./shaders\":254,\"gl-buffer\":258,\"gl-vao\":332}],252:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,i,p){a(s,e,t),a(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=i[x][2];for(var b=0;b<2;++b){u[1]=i[b][1];for(var _=0;_<2;++_)u[0]=i[_][0],f(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,C=-1,L=0;L<2;++L){var P=(z=L<<M)+(L<<A)+(1-L<<S),I=z+(1-L<<A)+(L<<S);o(c[z],c[P],c[I],h)<0||(L?E=1:C=1)}if(E<0||C<0)C>E&&(w|=1<<M);else{for(L=0;L<2;++L){P=(z=L<<M)+(L<<A)+(1-L<<S),I=z+(1-L<<A)+(L<<S);var z,O=d([l[z],l[P],l[I],l[z+(1<<A)+(1<<S)]]);L?E=O:C=O}C>E&&(w|=1<<M)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=g;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===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=m,q=w;for(M=0;M<3;++M)V[M]=q&1<<M?-1:1;return v};var n=t(\"bit-twiddle\"),a=t(\"gl-mat4/multiply\"),i=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var a=0;a<3;++a)t[n]+=e[a]*r[4*a+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[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=i.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],a=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-a,h=l[0]/l[3]-n,f=l[1]/l[3]-a;o+=Math.abs(c*f-u*h)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{\"bit-twiddle\":97,\"gl-mat4/multiply\":280,\"robust-orientation\":520,\"split-polygon\":538}],253:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[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 h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var g=+r[h][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var m=o.length/3|0;s[h]=f,l[h]=m-f;f=o.length/3|0;for(var v=0;v<r[h].length;++v){g=+r[h][v].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}m=o.length/3|0;c[h]=f,u[h]=m-f}var y=n(t,new Float32Array(o)),x=a(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=i(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,a,i,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=a,this.tickOffset=i,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,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,a){var i=h(s);this.shader.uniforms.majorAxis=s,i[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=i;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,a){if(this.tickCount[t]){var i=h(o);i[t]=1,this.shader.uniforms.majorAxis=i,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=a;var s=h(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,a,i){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=h(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,a,i){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":254,\"gl-buffer\":258,\"gl-vao\":332}],254:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=t(\"gl-shader\"),i=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}\"]);r.line=function(t){return a(t,i,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}\"]);r.text=function(t){return a(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=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}\"]),u=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}\"]);r.bg=function(t){return a(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":312,glslify:413}],255:[function(t,e,r){(function(r){\"use strict\";e.exports=function(t,e,r,i,s,l){var u=n(t),h=a(t,[{buffer:u,size:3}]),f=o(t);f.attributes.position.location=0;var p=new c(t,f,u,h);return p.update(e,r,i,s,l),p};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__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}var u=c.prototype,h=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var a=this.shader.uniforms;a.model=t,a.view=e,a.projection=r,a.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,a){var o=[];function s(t,e,r,n,a,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return i(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:a,styletags:s}));for(var h=(n||12)/12,f=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var m=p[d],v=2;v>=0;--v){var y=f[m[v]];o.push(h*y[0],-h*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){h[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(o.length/3|0)-h[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||a,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=h,this.labelCount=f},u.drawTicks=function(t,e,r,n,a,i,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,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]))},u.drawLabel=function(t,e,r,n,a,i,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,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]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(\"_process\"))},{\"./shaders\":254,_process:500,\"gl-buffer\":258,\"gl-vao\":332,\"vectorize-text\":572}],256:[function(t,e,r){\"use 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f=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(h=h||i(f,p,v,x,y)).axis;o(u,p,f),o(u,v,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var M=(k+1)%3,A=(k+2)%3,S=m;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var C=0;C<2;++C){S[M]=x[C^w][M];for(var L=0;L<2;++L)S[A]=x[L^C^w][A],E.push(S.slice())}var P=y?5:4;for(C=P;C===P;++C){if(0===E.length)continue t;E=a.positive(E,T[C])}for(C=0;C<E.length;++C){A=E[C];var I=d(m,u,A,r,l);for(L=0;L<3;++L)_[L].lo=Math.min(_[L].lo,A[L]),_[L].hi=Math.max(_[L].hi,A[L]),L!==k&&(_[L].pixelsPerDataUnit=Math.min(_[L].pixelsPerDataUnit,Math.abs(I[L])))}}}}return _};var n=t(\"extract-frustum-planes\"),a=t(\"split-polygon\"),i=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function h(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var f=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,a){for(var i=0;i<3;++i){for(var o=f,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[i]+=1,l(s,s,e),s[3]<0&&(t[i]=1/0),o[i]-=1,l(o,o,e),o[3]<0&&(t[i]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,h=(o[1]/o[3]-s[1]/s[3])*a;t[i]=.25*Math.sqrt(u*u+h*h)}return t}var g=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],m=[0,0,0]},{\"./lib/cube.js\":252,\"extract-frustum-planes\":240,\"gl-mat4/multiply\":280,\"gl-mat4/transpose\":289,\"gl-vec4/transformMat4\":403,\"split-polygon\":538}],258:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),a=t(\"ndarray-ops\"),i=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,a){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=a}var l=s.prototype;function c(t,e,r,n,a,i){var o=a.length*a.BYTES_PER_ELEMENT;if(i<0)return t.bufferData(e,a,n),o;if(o+i>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,i,a),r}function u(t,e){for(var r=n.malloc(t.length,e),a=t.length,i=0;i<a;++i)r[i]=t[i];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&&\"undefined\"!=typeof 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\";if(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=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(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=i(s,t.shape);a.assign(l,t),this.length=c(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 h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(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}},e.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 a=t.createBuffer(),i=new s(t,r,a,0,n);return i.update(e),i}},{ndarray:469,\"ndarray-ops\":464,\"typedarray-pool\":567}],259:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,a=t.vectors,i={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]),i;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,g=[],m=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),h=Math.min(x[2],h),f=Math.max(x[2],f);var b=a[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.push(b)}var w=[s,c,h],T=[l,u,f];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),i.vectorScale=m;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*k),i.coneScale=M;y=0;for(var A=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],C=x[2],L=g[y],P=n.length(L)*k,I=0;I<8;I++){i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vertexIntensity.push(P,P,P),i.vertexIntensity.push(P,P,P);var z=i.positions.length;i.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return i};var a=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:a,traceType:\"cone\"})}},{\"./create_mesh\":260,\"./lib/shaders\":261,\"gl-vec3\":351}],260:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,a,i,o,s,l,c,u){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=a,this.triangleVectors=i,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,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=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=h,this._view=h,this._projection=h,this._resolution=[1,1]}var p=f.prototype;function d(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}function g(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}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=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var a=e[n],i=0;i<3;++i)r[4*n+i]=a[i];r[4*n+3]=255*a[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,a=t.vectors;if(n&&r&&a){var i=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=a;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m<p.length;++m){var v=p[m];d=Math.min(d,v),g=Math.max(g,v)}else for(m=0;m<n.length;++m){v=n[m][2];d=Math.min(d,v),g=Math.max(g,v)}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]];for(m=0;m<n.length;++m)for(var y=n[m],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(m=0;m<r.length;++m){var _=r[m];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];i.push(y[0],y[1],y[2],y[3]);var k=a[T];o.push(k[0],k[1],k[2],k[3]||0);var M,A=f;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[T]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(M[0],M[1]),h.push(m)}b+=1}}this.triangleCount=b,this.trianglePositions.update(i),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:a,inverseModel:h.slice(),clipBounds:i,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};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/f}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,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||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:a,clipBounds:i,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),a={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?a.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(a.intensity=this.intensity[r[1]],a.velocity=this.vectors[r[1]].slice(0,3),a.divergence=this.vectors[r[1]][3],a.index=e),a},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()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=g(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var h=a(t),p=a(t),m=a(t),v=a(t),y=a(t),x=i(t,[{buffer:h,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new f(t,u,s,l,h,p,y,m,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-shader\":312,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469}],261:[function(t,e,r){var n=t(\"glslify\"),a=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\"]),i=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}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:413}],262:[function(t,e,r){e.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_FOR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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,a=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var i=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(a[3]*i+a[7]*s+a[11]*l+a[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]*this.pixelRatio),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var a=-1;a<=1;a+=2){var i=[0,0,0];i[(n+e)%3]=a,r.push(i)}t[e]=r}return t}();function h(t,e,r,n){for(var a=u[n],i=0;i<a.length;++i){var 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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}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},{\"gl-shader\":312,glslify:413}],266:[function(t,e,r){\"use strict\";var n=t(\"gl-texture2d\");e.exports=function(t,e,r,n){a||(a=t.FRAMEBUFFER_UNSUPPORTED,i=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");!l&&c&&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 a=new Array(r),i=0;i<n;++i)a[i]=t.COLOR_ATTACHMENT0+i;for(i=n;i<r;++i)a[i]=t.NONE;l[n]=a}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if(\"number\"!=typeof e)throw new 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c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function h(t){switch(t){case a:throw new Error(\"gl-fbo: Framebuffer unsupported\");case i: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 f(t,e,r,a,i,o){if(!a)return null;var s=n(t,e,r,i,a);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,a){var i=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,i),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,a,t.RENDERBUFFER,i),i}function d(t,e,r,n,a,i,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(a);for(var d=0;d<a;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=i,this._useStencil=o;var g=this,m=[0|e,0|r];Object.defineProperties(m,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=m,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),a=t._shape[0],i=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=f(r,a,i,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,a,i,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=f(r,a,i,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=f(r,a,i,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,a,i,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,a,i,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,a,i,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){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);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var g=d.prototype;function m(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,a=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var i=c(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(),u(n,i),h(s)),u(n,i)}}Object.defineProperties(g,{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 m(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return m(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,m(this,this._shape[0],t),t},enumerable:!1}}),g.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])}},g.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)}}},{\"gl-texture2d\":327}],267:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),i=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=i(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),h=t.split(\"\\n\"),f={},p=0;p<h.length;p++){var d=h[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));f[g]=d}}var m=o(e).split(\"\\n\");for(p=0;p<m.length;p++)if(f[p+3]||f[p+2]||f[p+1]){var v=m[p];if(c+=v+\"\\n\",f[p+1]){var y=f[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":66,\"gl-constants/lookup\":263,\"glsl-shader-name\":405,\"sprintf-js\":539}],268:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),a=o(r,l.pickVertex,l.pickFragment),i=s(r),u=s(r),h=s(r),f=s(r),p=new c(t,n,a,i,u,h,f);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),a=t(\"iota-array\"),i=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,a,i,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=a,this.colorBuffer=i,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 u,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[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 a=t.gl,i=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=i[2]-i[0],c=i[3]-i[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-i[0])/l-1,u[7]=2*(r[1]-i[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,n)}}),h.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,a=this.pickShader,i=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=i[2]-i[0],u=i[3]-i[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(i[0]-l[0])/h-1,t[7]=2*(i[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,a.bind();var d=a.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=a.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,a=this.shape[0]*this.shape[1];if(r<n||r>=n+a)return null;var i=r-n,o=this.xData,s=this.yData;return{object:this,pointId:i,dataCoord:[o[i%this.shape[0]],s[i/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||a(e[0]),o=t.y||a(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,h,p,d=t.colorLevels||[0],g=t.colorValues||[0,0,0,1],m=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],h=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,h=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(h-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(f.length>>>1);this.numVertices=w;for(var T=i.mallocUint8(4*w),k=i.mallocFloat32(2*w),M=i.mallocUint8(2*w),A=i.mallocUint32(w),S=0,E=l?b-1:b,C=l?_-1:_,L=0;L<C;++L){var P,I;l?(P=x*(o[L]-u),I=x*(o[L+1]-u)):(P=L<_-1?x*(o[L]-(o[L+1]-o[L])/2-u):x*(o[L]-(o[L]-o[L-1])/2-u),I=L<_-1?x*(o[L]+(o[L+1]-o[L])/2-u):x*(o[L]+(o[L]-o[L-1])/2-u));for(var z=0;z<E;++z){var O,D;l?(O=y*(r[z]-c),D=y*(r[z+1]-c)):(O=z<b-1?y*(r[z]-(r[z+1]-r[z])/2-c):y*(r[z]-(r[z]-r[z-1])/2-c),D=z<b-1?y*(r[z]+(r[z+1]-r[z])/2-c):y*(r[z]+(r[z]-r[z-1])/2-c));for(var R=0;R<f.length;R+=2){var F,B,N,j,U=f[R],V=f[R+1],q=s[l?(L+V)*b+(z+U):L*b+z],H=n.le(d,q);if(H<0)F=g[0],B=g[1],N=g[2],j=g[3];else if(H===m-1)F=g[4*m-4],B=g[4*m-3],N=g[4*m-2],j=g[4*m-1];else{var G=(q-d[H])/(d[H+1]-d[H]),Y=1-G,W=4*H,Z=4*(H+1);F=Y*g[W]+G*g[Z],B=Y*g[W+1]+G*g[Z+1],N=Y*g[W+2]+G*g[Z+2],j=Y*g[W+3]+G*g[Z+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*O+.5*D,k[2*S+1]=.5*P+.5*I,M[2*S]=U,M[2*S+1]=V,A[S]=L*b+z,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(M),this.colorBuffer.update(T),this.idBuffer.update(A),i.free(k),i.free(T),i.free(M),i.free(A)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":269,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312,\"iota-array\":437,\"typedarray-pool\":567}],269:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.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\"])}},{glslify:413}],270:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=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\"}];r.createShader=function(t){return a(t,i,o,null,l)},r.createPickShader=function(t){return a(t,i,s,null,l)}},{\"gl-shader\":312,glslify:413}],271:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=h(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=f(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=a(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}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=i(e,u);d.wrap=e.REPEAT;var g=new v(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),h=u.createShader,f=u.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 a=t[n]-e[n];r+=a*a}return Math.sqrt(r)}function g(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 m(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,a,i){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=a,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=i,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.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:g(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()}},y.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:g(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var 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t[0]=1-(p+g),t[1]=h+y,t[2]=f-v,t[3]=0,t[4]=h-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=f+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],277:[function(t,e,r){e.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}},{}],278:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],h=e[9],f=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15],y=r*s-n*o,x=r*l-a*o,b=r*c-i*o,_=n*l-a*s,w=n*c-i*s,T=a*c-i*l,k=u*g-h*d,M=u*m-f*d,A=u*v-p*d,S=h*m-f*g,E=h*v-p*g,C=f*v-p*m,L=y*C-x*E+b*S+_*A-w*M+T*k;if(!L)return null;return L=1/L,t[0]=(s*C-l*E+c*S)*L,t[1]=(a*E-n*C-i*S)*L,t[2]=(g*T-m*w+v*_)*L,t[3]=(f*w-h*T-p*_)*L,t[4]=(l*A-o*C-c*M)*L,t[5]=(r*C-a*A+i*M)*L,t[6]=(m*b-d*T-v*x)*L,t[7]=(u*T-f*b+p*x)*L,t[8]=(o*E-s*A+c*k)*L,t[9]=(n*A-r*E-i*k)*L,t[10]=(d*w-g*b+v*y)*L,t[11]=(h*b-u*w-p*y)*L,t[12]=(s*M-o*S-l*k)*L,t[13]=(r*S-n*M+a*k)*L,t[14]=(g*x-d*_-m*y)*L,t[15]=(u*_-h*x+f*y)*L,t}},{}],279:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,a){var i,o,s,l,c,u,h,f,p,d,g=e[0],m=e[1],v=e[2],y=a[0],x=a[1],b=a[2],_=r[0],w=r[1],T=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(m-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);h=g-_,f=m-w,p=v-T,d=1/Math.sqrt(h*h+f*f+p*p),i=x*(p*=d)-b*(f*=d),o=b*(h*=d)-y*p,s=y*f-x*h,(d=Math.sqrt(i*i+o*o+s*s))?(i*=d=1/d,o*=d,s*=d):(i=0,o=0,s=0);l=f*s-p*o,c=p*i-h*s,u=h*o-f*i,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=i,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=c,t[6]=f,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(i*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(h*g+f*m+p*v),t[15]=1,t}},{\"./identity\":277}],280:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*h+w*g,t[1]=x*a+b*l+_*f+w*m,t[2]=x*i+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*h+w*g,t[5]=x*a+b*l+_*f+w*m,t[6]=x*i+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*h+w*g,t[9]=x*a+b*l+_*f+w*m,t[10]=x*i+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*h+w*g,t[13]=x*a+b*l+_*f+w*m,t[14]=x*i+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],281:[function(t,e,r){e.exports=function(t,e,r,n,a,i,o){var s=1/(e-r),l=1/(n-a),c=1/(i-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*c,t[11]=0,t[12]=(e+r)*s,t[13]=(a+n)*l,t[14]=(o+i)*c,t[15]=1,t}},{}],282:[function(t,e,r){e.exports=function(t,e,r,n,a){var i=1/Math.tan(e/2),o=1/(n-a);return t[0]=i/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=i,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(a+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*a*n*o,t[15]=0,t}},{}],283:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E=n[0],C=n[1],L=n[2],P=Math.sqrt(E*E+C*C+L*L);if(Math.abs(P)<1e-6)return null;E*=P=1/P,C*=P,L*=P,a=Math.sin(r),i=Math.cos(r),o=1-i,s=e[0],l=e[1],c=e[2],u=e[3],h=e[4],f=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+i,b=C*E*o+L*a,_=L*E*o-C*a,w=E*C*o-L*a,T=C*C*o+i,k=L*C*o+E*a,M=E*L*o+C*a,A=C*L*o-E*a,S=L*L*o+i,t[0]=s*x+h*b+g*_,t[1]=l*x+f*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+h*T+g*k,t[5]=l*w+f*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*M+h*A+g*S,t[9]=l*M+f*A+m*S,t[10]=c*M+p*A+v*S,t[11]=u*M+d*A+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],284:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=i*a+c*n,t[5]=o*a+u*n,t[6]=s*a+h*n,t[7]=l*a+f*n,t[8]=c*a-i*n,t[9]=u*a-o*n,t[10]=h*a-s*n,t[11]=f*a-l*n,t}},{}],285:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a-c*n,t[1]=o*a-u*n,t[2]=s*a-h*n,t[3]=l*a-f*n,t[8]=i*n+c*a,t[9]=o*n+u*a,t[10]=s*n+h*a,t[11]=l*n+f*a,t}},{}],286:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],h=e[6],f=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a+c*n,t[1]=o*a+u*n,t[2]=s*a+h*n,t[3]=l*a+f*n,t[4]=c*a-i*n,t[5]=u*a-o*n,t[6]=h*a-s*n,t[7]=f*a-l*n,t}},{}],287:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],a=r[1],i=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*a,t[5]=e[5]*a,t[6]=e[6]*a,t[7]=e[7]*a,t[8]=e[8]*i,t[9]=e[9]*i,t[10]=e[10]*i,t[11]=e[11]*i,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],288:[function(t,e,r){e.exports=function(t,e,r){var n,a,i,o,s,l,c,u,h,f,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],t[0]=n,t[1]=a,t[2]=i,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=h,t[9]=f,t[10]=p,t[11]=d,t[12]=n*g+s*m+h*v+e[12],t[13]=a*g+l*m+f*v+e[13],t[14]=i*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],289:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],a=e[3],i=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=i,t[11]=e[14],t[12]=a,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],290:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),a=t(\"polytope-closest-point/lib/closest_point_2d.js\");function i(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var a=0;a<4;++a)r[a]+=t[4*n+a]*e[n];return r}function o(t,e,r,n,a){for(var o=i(n,i(r,i(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*a[0]*(1+o[0]),.5*a[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var a=t[n],i=e[n],o=0;o<3;++o)r[o]+=i*a[o];return r}e.exports=function(t,e,r,i,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),h=0;h<t.length;++h)u[h]=o(t[h],r,i,l,c);var f=0,p=1/0;for(h=0;h<u.length;++h){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[h][g]-e[g],2);d<p&&(p=d,f=h)}var m=function(t,e){if(2===t.length){for(var r=0,i=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),i+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),i=Math.sqrt(i),r+i<1e-6?[1,0]:[i/(r+i),r/(i+r)]}if(3===t.length){var s=[0,0];return a(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(h=0;h<3;++h){if(m[h]<-.001||m[h]>1.0001)return null;v+=m[h]}if(Math.abs(v-1)>.001)return null;return[f,s(t,m),m]}},{barycentric:78,\"polytope-closest-point/lib/closest_point_2d.js\":499}],291:[function(t,e,r){var n=t(\"glslify\"),a=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\"]),i=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}\"]),c=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}\"]),u=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}\"]),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\\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}\"]),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\\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\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:f,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:413}],292:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),h=t(\"colormap\"),f=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),m=d.meshShader,v=d.wireShader,y=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,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,T,k,M,A,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=a,this.pickShader=i,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=M,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,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 M(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 A(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.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(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.attributes.pointSize.location=4,e}function C(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function L(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 P(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=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,a=e.vertexWeights,i=r.length,o=p.mallocFloat32(6*i),s=0,l=0;l<i;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],g=n[h][1],m=a[h],v=1-m,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=m*y[b]+v*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=h({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),a=0;a<256;++a){for(var i=r[a],o=0;o<3;++o)n[4*a+o]=i[o];n[4*a+3]=e?255*M(a/255,e):255*i[3]}return u(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 a=[],i=[],l=[],c=[],f=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,A)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,C=t.meshColor||[1,1,1,1],L=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,z=t.cellIntensity,O=1/0,D=-1/0;if(!L&&!I)if(P)if(t.vertexIntensityBounds)O=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];O=Math.min(O,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)O=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R){F=z[R];O=Math.min(O,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];O=Math.min(O,F),D=Math.max(D,F)}this.intensity=P||(z||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=!(z||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(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,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:C,this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?y.push(Z[0],Z[1],Z[2],this.opacity):(y.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],x.push(X[0],X[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:C,this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?d.push(Z[0],Z[1],Z[2],this.opacity):(d.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],g.push(X[0],X[1]),m.push(R)}q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,Z,X,J;j=n[W=G[2-U]];a.push(j[0],j[1],j[2]),(Z=S?S[W]:E?E[R]:C)?this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?i.push(Z[0],Z[1],Z[2],this.opacity):(i.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)):i.push(.5,.5,.5,1),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],c.push(X[0],X[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),f.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(a),this.triangleColors.update(i),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:a,inverseModel:w.slice(),clipBounds:i,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=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.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&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.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,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:a,clipBounds:i,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,a=new Array(r.length),i=0;i<r.length;++i)a[i]=n[r[i]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],h=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:h}}var f=g(a,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!f)return null;var p=f[2],d=0;for(i=0;i<r.length;++i)d+=p[i]*this.intensity[r[i]];return{position:f[1],index:r[f[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[f[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()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=A(t),s=S(t),l=E(t),c=C(t),h=L(t),f=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=a(t),g=a(t),m=a(t),v=a(t),y=a(t),x=i(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=a(t),_=a(t),w=a(t),k=a(t),M=i(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=a(t),z=a(t),O=a(t),D=a(t),R=a(t),F=i(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:O,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=a(t),N=i(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,h,f,d,y,g,m,v,x,b,k,_,w,M,I,R,z,O,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":290,\"./lib/shaders\":291,colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-shader\":312,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469,normals:472,\"simplicial-complex-contour\":528,\"typedarray-pool\":567}],293:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=a(e,i.boxVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,a){var i=this.plot,o=this.shader,c=i.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"gl-buffer\":258,\"gl-shader\":312}],294:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,o.gridVert,o.gridFrag),l=a(e,o.tickVert,o.gridFrag);return new s(t,r,i,l)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"binary-search-bounds\"),o=t(\"./shaders\");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 c,u,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,a=t.gl,i=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var m=i[g],v=i[g+2]-m,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*v/x,c[g]=2*(m-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){h[0]=h[1]=0,h[g]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=f[g];var _=6*n[g].length;p[g]&&_&&a.drawArrays(a.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,m=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,M=.5*(d[w+2]+d[w]),A=d[w+2]-d[w];e[w]=2*k/A,t[w]=2*(T-M)/A}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,C=s.tickMarkWidth,L=s.tickMarkColor,P=6*h[0].length,I=Math.min(i.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(i.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),O=0+6*I,D=6*Math.max(0,z-I),R=Math.min(i.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(i.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=P+6*R,N=6*Math.max(0,F-R);a[0]=2*(g[0]-E[1])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[1]*m/y,o[1]=C[1]*m/x,N&&(S.color=L[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[1]-E[0])/x-1,o[0]=C[0]*m/y,o[1]=E[0]*m/x,D&&(S.color=L[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,O,D)),a[0]=2*(g[2]+E[3])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[3]*m/y,o[1]=C[3]*m/x,N&&(S.color=L[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[3]+E[2])/x-1,o[0]=C[2]*m/y,o[1]=E[2]*m/x,D&&(S.color=L[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,O,D))}}(),d.update=(f=[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)),a=(this.plot.zeroLineEnable,0),i=[[],[]],o=0;o<2;++o)for(var s=i[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[a++]=d,n[a++]=f[g],n[a++]=p[g]}this.ticks=i,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":296,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312}],295:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=a(e,i.lineVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,a,i){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=a*o.pixelRatio,c.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"gl-buffer\":258,\"gl-shader\":312}],296:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=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\"]);e.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:a,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:a,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:a,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\"])}},{glslify:413}],297:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,s.textVert,s.textFrag);return new l(t,r,i)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");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 c,u,h,f,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],a=this.tickOffset[t],i=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,m=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),M=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var A=2/f[2+(1^t)]-f[1^t];u[1^t]=A*s[1^t]-1,d[t]&&(u[1^t]-=A*p*g[t],k<M&&a[M]>a[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],i.drawArrays(i.TRIANGLES,a[k],a[M]-a[k]))),y[t]&&T&&(u[1^t]-=A*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],i.drawArrays(i.TRIANGLES,w,T)),u[1^t]=A*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=A*p*g[t+2],k<M&&a[M]>a[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],i.drawArrays(i.TRIANGLES,a[k],a[M]-a[k]))),y[t+2]&&T&&(u[1^t]+=A*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],i.drawArrays(i.TRIANGLES,w,T))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,a=r.gl,i=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-i[u])/(i[2+u]-i[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,a.drawArrays(a.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,a=t.screenBox,i=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=i[o],g=i[o+2]-h,m=a[o],v=a[o+2]-m;p[o]=2*l/u*g/v,f[o]=2*(s-c)/u*g/v}d[1]=2*t.pixelRatio/(a[3]-a[1]),d[0]=d[1]*(a[3]-a[1])/(a[2]-a[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,a,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,g=p.text,m=p.font||\"sans-serif\";a=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=i(m,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*a,-n[r+1]*a-b*a*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),h.push(d)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=i(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,a=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=i(t.titleFont,t.title).data,a=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312,\"text-cache\":547}],298:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=a(c),c.text=i(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),a=t(\"./lib/grid\"),i=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");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 c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,a=this.pixelRatio,i=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 c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[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 u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),i.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],f[d]):o.drawLine(e[0],g,e[2],g,p[d],f[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 m=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(m[1]&&o.drawLine(r[0],r[1]-.5*v[1]*a,r[0],r[3]+.5*v[3]*a,v[1],y[1]),m[0]&&o.drawLine(r[0]-.5*v[0]*a,r[1],r[2]+.5*v[2]*a,r[1],v[0],y[0]),m[3]&&o.drawLine(r[2],r[1]-.5*v[1]*a,r[2],r[3]+.5*v[3]*a,v[3],y[3]),m[2]&&o.drawLine(r[0]-.5*v[0]*a,r[3],r[2]+.5*v[2]*a,r[3],v[2],y[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)}},c.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()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,a=this.viewBox,i=0|Math.round((t-a[0]/r)*n),o=0|Math.round((e-a[1]/r)*n),s=this.pickBuffer.query(i,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(i,o,l);if(h)return h}return null}},c.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()},c.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())},c.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()},c.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,a=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/a,10,10/a]),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=u(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=u(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=u(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=u(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=u(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=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var i=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=i[s].slice(0);0!==l.length&&(l.sort(h),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:i}),this.text.update({bounds:o,ticks:i,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()},c.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();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.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}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.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}}},{\"./lib/box\":293,\"./lib/grid\":294,\"./lib/line\":295,\"./lib/text\":297,\"gl-select-static\":311}],299:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in 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 c=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,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:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,a=e-2*r;c.idle(e-r),c.recalcMatrix(a),c.flush(e-(100+2*r));for(var i=!0,o=c.computedMatrix,s=0;s<16;++s)i=i&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,i?!l:(h=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),a=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var i=n();c._active.lookAt(i,r,a,e),c._active.lookAt(i+500,r,a,[0,0,1]),c._active.flush(i)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.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,a,i){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,f=!!i.control,p=!!i.alt,g=!!i.shift,m=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(a-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,M=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&m&&!f&&!p&&!g||m&&!f&&!p&&g)&&c.rotate(M,w*k*b,-T*k*_,0),(l&&m&&!f&&!p&&!g||v||m&&f&&!p&&!g)&&c.pan(M,-d.translateSpeed*b*h,d.translateSpeed*_*h,0),u&&m&&!f&&!p&&!g||y||m&&!f&&p&&!g)){var A=-d.zoomSpeed*_/window.innerHeight*(M-c.lastT())*100;c.pan(M,0,0,h*(Math.exp(A)-1))}return d._lastX=r,d._lastY=a,d._lastMods=i,!0}}d.mouseListener=i(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),r.preventDefault()}),!!l&&{passive:!1}),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),t.preventDefault()}),!!l&&{passive:!1}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,a=d.flipY?1:-1,i=n();if(Math.abs(t)>Math.abs(e))c.rotate(i,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*a*e/window.innerHeight*(i-c.lastT())/20;c.pan(i,0,0,h*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),a=t(\"3d-view\"),i=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":54,\"has-passive-events\":415,\"mouse-change\":457,\"mouse-event-offset\":458,\"mouse-wheel\":460,\"right-now\":514}],300:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=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}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":312,glslify:413}],301:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),a=t(\"gl-axes3d\"),i=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),h=t(\"gl-mat4/perspective\"),f=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function g(){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 m(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}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;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}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new g,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||{},M=a(r,k);M.enable=!k.disable;var A=t.spikes||{},S=o(r,A),E=[],C=[],L=[],P=[],I=!0,z=!0,O=new Array(16),D=new Array(16),R={view:null,projection:O,model:D,_ortho:!1},F=(z=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:M,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,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:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,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,z=!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)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.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 a=0|Math.ceil(r*N.pixelRatio),i=0|Math.ceil(n*N.pixelRatio);if(a!==e.width||i!==e.height){e.width=a,e.height=i;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)L[n]=0;t:for(n=0;n<t;++n){var a=E[n],i=a.pickSlots;if(i){for(var o=0;o<e;++o)if(L[o]+i<255){C[n]=o,a.setPickBase(L[o]+1),L[o]+=i;continue t}var l=s(r,F);C[n]=e,P.push(l),L.push(i),a.setPickBase(1),e+=1}else C[n]=-1}for(;e>0&&0===L[e-1];)L.pop(),P.pop().dispose()}function q(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,z=!0)},N.add=function(t){N._stopped||(t.axes=M,E.push(t),C.push(-1),I=!0,z=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),C.pop(),I=!0,z=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",q),N.mouseListener.enabled=!1,!N.contextLost)){M.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,M=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,a=E.length,i=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&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(z=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<a;++c){var u=E[c];if(C[c]===s){var h=u.pick(l);h&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=h.distance,x.dataPosition=h.position,x.dataCoordinate=h.dataCoordinate,x.data=h,o=!0)}}}}}i&&i!==x.object&&(i.highlight&&i.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==i)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",q);var H=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[H[0].slice(),H[1].slice()];function Y(){if(!q()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,z=z||t,M.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=H[0],a=H[1];n[0]=n[1]=n[2]=1/0,a[0]=a[1]=a[2]=-1/0;for(var o=0;o<e;++o){(L=E[o]).pixelRatio=N.pixelRatio,L.axes=N.axes,I=I||!!L.dirty,z=z||!!L.dirty;var s=L.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),a[p]=Math.max(a[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(a[p]<n[p])n[p]=-1,a[p]=1;else{n[p]===a[p]&&(n[p]-=1,a[p]+=1);var g=.05*(a[p]-n[p]);n[p]=n[p]-g,a[p]=a[p]+g}d[0][p]=n[p],d[1][p]=a[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(z=z||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=m((d[1][o]-d[0][o])/10);M.autoTicks?M.update({bounds:d,tickSpacing:y}):M.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,a=n.projection,i=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(f(a,-p,p,-1,1,l,c),n._ortho=!0):(h(a,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)i[d]=0;i[15]=1;var g=0;for(d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?i[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):i[5*d]=1/g,t.autoCenter&&(i[12+d]=.5*-i[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(L=E[o]).axesBounds=d,N.clipToBounds&&(L.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),z&&(z=!1,function(){if(!q()){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 a=P[n];a.shape=j,a.begin();for(var i=0;i<t;++i)if(C[i]===n){var o=E[i];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}a.end()}}}()),N.axesPixels=i(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.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 A=!1;M.enable&&(A=A||M.isTransparent(),M.draw(R)),S.axes=M,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(L=E[o]).axes=M,L.pixelRatio=N.pixelRatio,L.isOpaque&&L.isOpaque()&&L.draw(R),L.isTransparent&&L.isTransparent()&&(A=!0)}if(A){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),M.enable&&M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){(L=E[o]).isOpaque&&L.isOpaque()&&L.draw(R)}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),M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){var L;(L=E[o]).isTransparent&&L.isTransparent()&&L.drawTransparent(R)}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,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":299,\"./lib/shader\":300,\"a-big-triangle\":64,\"gl-axes3d\":250,\"gl-axes3d/properties\":257,\"gl-fbo\":266,\"gl-mat4/ortho\":281,\"gl-mat4/perspective\":282,\"gl-select-static\":311,\"gl-spikes3d\":321,\"is-mobile\":441,\"mouse-change\":457}],302:[function(t,e,r){var n=t(\"glslify\");r.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}\"]),r.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\"]),r.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\"]),r.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\"])},{glslify:413}],303:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,a){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=a,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}e.exports=function(t,e){var r=t.gl,i=a(r),l=a(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),h=new s(t,i,l,c,u);return h.update(e),t.addObject(h),h};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.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,a=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=a?s:i.mallocFloat32(s.length),c=o?t.idToIndex:i.mallocInt32(n);if(a||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),a||i.free(l),o||i.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,a=this.plot.dataBox;if(0===this.pointCount)return t;var i=a[2]-a[0],o=a[3]-a[1],s=function(t,e){var r,n=0,a=t.length>>>1;for(r=0;r<a;r++){var i=t[2*r],o=t[2*r+1];i>=e[0]&&i<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,a),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/i,l[4]=2/o,l[6]=-2*a[0]/i-1,l[7]=-2*a[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=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,a=this.pointCount;if(r<n||r>=n+a)return null;var i=r-n,o=this.points;return{object:this,pointId:i,dataCoord:[o[2*i],o[2*i+1]]}}},{\"./lib/shader\":302,\"gl-buffer\":258,\"gl-shader\":312,\"typedarray-pool\":567}],304:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(i=c*p+u*d+h*g+f*m)<0&&(i=-i,p=-p,d=-d,g=-g,m=-m);1-i>1e-6?(a=Math.acos(i),o=Math.sin(a),s=Math.sin((1-n)*a)/o,l=Math.sin(n*a)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*g,t[3]=s*f+l*m,t}},{}],305:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],306:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var i=a[e];i||(i=a[e]={});if(t in i)return i[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,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],f=u.positions.length;for(l=0;l<f;++l){var p=u.positions[l];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],p[c]),h[1][c]=Math.max(h[1][c],p[c])}return i[t]=[s,u,h]};var a={}},{\"vectorize-text\":572}],307:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"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=a([\"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=a([\"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=a([\"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\"]),c=a([\"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}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:i,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:i,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},m={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),a=r.attributes;return a.position.location=0,a.color.location=1,a.glyph.location=2,a.id.location=3,r}r.createPerspective=function(t){return v(t,h)},r.createOrtho=function(t){return v(t,f)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,g)},r.createPickProject=function(t){return v(t,m)}},{\"gl-shader\":312,glslify:413}],308:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e){var r=t[0],n=t[1],a=t[2],i=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*a+e[12]*i,t[1]=e[1]*r+e[5]*n+e[9]*a+e[13]*i,t[2]=e[2]*r+e[6]*n+e[10]*a+e[14]*i,t[3]=e[3]*r+e[7]*n+e[11]*a+e[15]*i,t}function p(t,e,r,n){return f(n,n),f(n,n),f(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t||t>1?1:t}function m(t,e,r,n,a,i,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=a,this.colorBuffer=i,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=c,this.pickOrthoShader=u,this.pickProjectShader=h,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}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),h=a(e),f=a(e),p=a(e),d=a(e),g=i(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new m(e,r,n,o,h,f,p,d,g,s,c,u);return v.update(t),v};var v=m.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.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 y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=h.slice(),k=[0,0,0],M=[[0,0,0],[0,0,0]];function A(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}function C(t,e,r,n){var a,i=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||h,u=r.view||h,f=r.projection||h,d=e.axesBounds,g=function(t){for(var e=M,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);a=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(i[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,C=0;C<16;++C)v[C]=0;for(C=0;C<4;++C)v[5*C]=1;v[5*m]=0,a[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var L=(m+1)%3,P=(m+2)%3,I=A(x),z=A(b);I[L]=1,z[P]=1;var O=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,z));if(Math.abs(O[1])>Math.abs(D[1])){var R=O;O=D,D=R,R=I,I=z,z=R;var F=L;L=P,P=F}O[0]<0&&(I[L]=-1),D[1]>0&&(z[P]=-1);var B=0,N=0;for(C=0;C<4;++C)B+=Math.pow(c[4*L+C],2),N+=Math.pow(c[4*P+C],2);I[L]/=Math.sqrt(B),z[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=z,l.fragClipBounds[0]=E(k,g[0],m,-1e8),l.fragClipBounds[1]=E(k,g[1],m,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()}}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,a,i,o){var s=r.gl;if((i===r.projectHasAlpha||o)&&C(e,r,n,a),i===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||h,l.view=n.view||h,l.projection=n.projection||h,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=L,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=a,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*a),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,a){var i;i=Array.isArray(t)?e<t.length?t[e]:void 0:t,i=u(i);var o=!0;n(i)&&(i=\"\\u25bc\",o=!1);var s=c(i,r,a);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.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 a=0;a<3;++a)n.position[a]=n.dataCoordinate[a]=r[a];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,a=e>>16&255;this.highlightId=[r/255,n/255,a/255,0]}else this.highlightId=[1,1,1,1]},v.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){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var a,i,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)a=c[0],i=c[1];else{a=[],i=[];for(n=0;n<c.length;++n)a[n]=c[n][0],i[n]=c[n][1]}var u=[1/0,1/0,1/0],h=[-1/0,-1/0,-1/0],f=t.glyph,p=t.color,d=t.size,m=t.angle,v=t.lineColor,y=-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=I(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;x+=3*k.cells.length,b+=2*M.edges.length}}var S=x+b,E=o.mallocFloat(3*S),C=o.mallocFloat(4*S),L=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var z=0,O=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;h[T]=Math.max(h[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=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)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var q=0;Array.isArray(m)?q=n<m.length?+m[n]:0:m&&(q=+m);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],T=0;T<3;++T)h[T]=Math.max(h[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=a,W=i;Y=0;Array.isArray(a)?Y=n<a.length?a[n]:0:a&&(Y=a);W=0;Array.isArray(i)?W=n<i.length?i[n]:0:i&&(W=i);var Z=[Y*=Y>0?1-A[0][0]:Y<0?1+A[1][0]:1,W*=W>0?1-A[0][1]:W<0?1+A[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T<X.length;++T)for(var K=X[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)C[4*z+$]=D[$];P[z]=y;var tt=J[K[Q]];L[2*z]=V*(H*tt[0]-G*tt[1]+Z[0]),L[2*z+1]=V*(G*tt[0]+H*tt[1]+Z[1]),z+=1}for(X=M.edges,J=M.positions,T=0;T<X.length;++T)for(K=X[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)C[4*O+$]=R[$];P[O]=y;tt=J[K[Q]];L[2*O]=V*(H*tt[0]-G*tt[1]+Z[0]),L[2*O+1]=V*(G*tt[0]+H*tt[1]+Z[1]),O+=1}}}this.bounds=[u,h],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(C),this.glyphBuffer.update(L),this.idBuffer.update(P),o.free(E),o.free(C),o.free(L),o.free(P)},v.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()}},{\"./lib/get-simple-string\":305,\"./lib/glyphs\":306,\"./lib/shaders\":307,\"gl-buffer\":258,\"gl-mat4/multiply\":280,\"gl-vao\":332,\"is-string-blank\":444,\"typedarray-pool\":567}],309:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.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\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:413}],310:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"./lib/shaders\");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}e.exports=function(t,e){var r=t.gl,s=a(r,[0,0,0,1,1,0,1,1]),l=n(r,i.boxVertex,i.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};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),a=(this.outerFill,this.outerColor),i=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],f=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(h=Math.max(h,c[0]),f=Math.max(f,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<h||d<f)){o.bind();var g=s[2]-s[0],m=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,f,a),o.drawBox(0,f,h,d,a),o.drawBox(0,d,g,m,a),o.drawBox(p,f,g,d,a)),this.innerFill&&o.drawBox(h,f,p,d,n),r>0){var v=r*u;o.drawBox(h-v,f-v,p+v,f+v,i),o.drawBox(h-v,d-v,p+v,d+v,i),o.drawBox(h-v,f-v,h+v,d+v,i),o.drawBox(p-v,f-v,p+v,d+v,i)}}}},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)}},{\"./lib/shaders\":309,\"gl-buffer\":258,\"gl-shader\":312}],311:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],i=e[1],o=n(t,r,i,{}),s=a.mallocUint8(r*i*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),a=t(\"typedarray-pool\"),i=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,a){this.coord=[t,e],this.id=r,this.value=n,this.distance=a}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){a.free(this.buffer);for(var n=this.buffer=a.mallocUint8(o(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var a=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]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=a||c<=l)return null;var u=[o-a,c-l],h=i(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(a+n[0]*l)),f=function(t,e,r){for(var n=1e8,a=-1,i=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),h=t.get(l,c,1),f=t.get(l,c,2),p=t.get(l,c,3);if(u<255||h<255||f<255||p<255){var d=e-l,g=r-c,m=d*d+g*g;m<n&&(n=m,a=l,i=c)}}return[a,i,n]}(h.hi(u[0],u[1],1),r,r),p=f[0],d=f[1];return p<0||Math.pow(this.radius,2)<f[2]?null:new s(p+a|0,d+l|0,h.get(p,d,0),[h.get(p,d,1),h.get(p,d,2),h.get(p,d,3)],Math.sqrt(f[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),a.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":97,\"gl-fbo\":266,ndarray:469,\"typedarray-pool\":567}],312:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),a=t(\"./lib/create-attributes\"),i=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function h(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),M=0;M<T;++M)k[M]=_.length,b.push(w.name+\"[\"+M+\"]\"),\"number\"==typeof w.location?_.push(w.location+M):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[M]?_.push(0|w.location[M]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var A=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(A)>=0;)A+=1;_[y]=A}var S=new Array(r.length);function E(){f.program=o.program(p,f._vref,f._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(f.program,r[t].name)}E(),f._relink=E,f.types={uniforms:i(r),attributes:i(c)},f.attributes=a(p,f,x,_),Object.defineProperty(f,\"uniforms\",n(p,f,r,S))},e.exports=function(t,e,r,n,a){var i=new c(t);return 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o=t.getActiveAttrib(e,a);o&&n.push({name:o.name,type:i(t,o.type)})}return n};var n={FLOAT:\"float\",FLOAT_VEC2:\"vec2\",FLOAT_VEC3:\"vec3\",FLOAT_VEC4:\"vec4\",INT:\"int\",INT_VEC2:\"ivec2\",INT_VEC3:\"ivec3\",INT_VEC4:\"ivec4\",BOOL:\"bool\",BOOL_VEC2:\"bvec2\",BOOL_VEC3:\"bvec3\",BOOL_VEC4:\"bvec4\",FLOAT_MAT2:\"mat2\",FLOAT_MAT3:\"mat3\",FLOAT_MAT4:\"mat4\",SAMPLER_2D:\"sampler2D\",SAMPLER_CUBE:\"samplerCube\"},a=null;function i(t,e){if(!a){var r=Object.keys(n);a={};for(var i=0;i<r.length;++i){var o=r[i];a[t[o]]=n[o]}}return a[e]}},{}],318:[function(t,e,r){\"use strict\";r.shader=function(t,e,r){return u(t).getShaderReference(e,r)},r.program=function(t,e,r,n,a){return u(t).getProgram(e,r,n,a)};var n=t(\"./GLError\"),a=t(\"gl-format-compiler-error\"),i=new(\"undefined\"==typeof WeakMap?t(\"weakmap-shim\"):WeakMap),o=0;function s(t,e,r,n,a,i,o){this.id=t,this.src=e,this.type=r,this.shader=n,this.count=i,this.programs=[],this.cache=o}function 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n=t(\"glslify\"),a=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 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\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 = 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\"]),i=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}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:413}],323:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),a=t(\"gl-vec4\"),i=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,i){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,i){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],g=0,m=0,v=a.create(),y=a.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),m=n.length(_)/i,v=a.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(f.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(f[T],p[T],p[k],p[k],f[k],f[T]),h.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var M=c.length;u.push([M-6,M-5,M-4],[M-3,M-2,M-1])}var A=f;f=p,p=A;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,i,o)})),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],m=h.length;h=h.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var v=g.cells[c],y=[];f.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+m)}}return{positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var a=t[r];if(a===e)return r;if(a>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=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 a=Math.abs(t[n]-t[n-1]);a<e&&(e=a)}return e};e.exports=function(t,e){var r=t.startingPositions,a=t.maxLength||1e3,u=t.tubeSize||1,h=t.absoluteTubeSize,f=t.gridFill||\"+x+y+z\",p={};-1!==f.indexOf(\"-x\")&&(p.reversedX=!0),-1!==f.indexOf(\"-y\")&&(p.reversedY=!0),-1!==f.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=i.indexOf(f.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var a=e.vectors,i=e.meshgrid,o=t[0],c=t[1],u=t[2],h=i[0].length,f=i[1].length,p=i[2].length,d=s(i[0],o),g=s(i[1],c),m=s(i[2],u),v=d+1,y=g+1,x=m+1;if(d=l(d,0,h-1),v=l(v,0,h-1),g=l(g,0,f-1),y=l(y,0,f-1),m=l(m,0,p-1),x=l(x,0,p-1),d<0||g<0||m<0||v>h-1||y>f-1||x>p-1)return n.create();var b,_,w,T,k,M,A=i[0][d],S=i[0][v],E=i[1][g],C=i[1][y],L=i[2][m],P=(o-A)/(S-A),I=(c-E)/(C-E),z=(u-L)/(i[2][x]-L);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,v=h-1-v),r.reversedY&&(g=f-1-g,y=f-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,M=x,w=g*p,T=y*p,b=d*p*f,_=v*p*f;break;case 4:k=m,M=x,b=d*p,_=v*p,w=g*p*h,T=y*p*h;break;case 3:w=g,T=y,k=m*f,M=x*f,b=d*f*p,_=v*f*p;break;case 2:w=g,T=y,b=d*f,_=v*f,k=m*f*h,M=x*f*h;break;case 1:b=d,_=v,k=m*h,M=x*h,w=g*h*p,T=y*h*p;break;default:b=d,_=v,w=g*h,T=y*h,k=m*h*f,M=x*h*f}var O=a[b+w+k],D=a[b+w+M],R=a[b+T+k],F=a[b+T+M],B=a[_+w+k],N=a[_+w+M],j=a[_+T+k],U=a[_+T+M],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,O,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,H,I),n.lerp(W,q,G,I);var Z=n.create();return n.lerp(Z,Y,W,z),Z}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),a=1e-4;n.add(r,t,[a,0,0]);var i=d(r);n.subtract(i,i,e),n.scale(i,i,1/a),n.add(r,t,[0,a,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/a),n.add(r,t,[0,0,a]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/a),n.add(r,i,o),n.add(r,r,s),r},m=[],v=e[0][0],y=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<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/a,M=k*k,A=1,S=0,E=r.length;E>1&&(A=function(t){for(var e=[],r=[],n=[],a={},i={},o={},s=t.length,l=0;l<s;l++){var u=t[l],h=u[0],f=u[1],p=u[2];a[h]||(e.push(h),a[h]=!0),i[f]||(r.push(f),i[f]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),m=c(n),v=Math.min(d,g,m);return isFinite(v)?v:1}(r));for(var C=0;C<E;C++){var L=n.create();n.copy(L,r[C]);var P=[L],I=[],z=d(L),O=L;I.push(z);var D=[],R=g(L,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),m.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*a&&P.length<a&&T(L);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;if(j>M&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,L),z=d(N),n.squaredDistance(O,N)-M>-1e-4*M){P.push(N),O=N,I.push(z);R=g(N,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}L=N}}var U=o(m,t.colormap,S,A);return h?U.tubeScale=h:(0===S&&(S=1),U.tubeScale=.5*u*A/S),U};var u=t(\"./lib/shaders\"),h=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return h(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":322,\"gl-cone3d\":259,\"gl-vec3\":351,\"gl-vec4\":387}],324:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"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=a([\"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 \\u2014 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=a([\"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=a([\"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\"]);r.createShader=function(t){var e=n(t,i,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},r.createPickShader=function(t){var e=n(t,i,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},r.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},r.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}},{\"gl-shader\":312,glslify:413}],325:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=a(e),u=i(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),h=a(e),f=i(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=a(e),d=i(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new A(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,h,f,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",m.update(v),m};var n=t(\"bit-twiddle\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),h=t(\"ndarray\"),f=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),m=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[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,a){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=a}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function A(t,e,r,n,a,i,o,l,c,u,f,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,this.intensityBounds=[],this._shader=n,this._pickShader=a,this._coordinateBuffer=i,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,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=g,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=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(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 S=A.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var a=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 a<1&&(r=!0),[t[0],t[1],t[2],255*a]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],C={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function L(t,e){var r,n,a,i=e.axes&&e.axes.lastCubeProps.axis||E,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=C.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[+(i[r]>0)][r],p(l,t.model,l);var c=C.clipBounds[r];for(a=0;a<2;++a)for(n=0;n<3;++n)c[a][n]=t.clipBounds[a][n];c[0][r]=-1e8,c[1][r]=1e8}return C.showSurface=o,C.showContour=s,C}var P={model:w,view:w,projection:w,inverseModel:w.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},I=w.slice(),z=[1,0,0,0,1,0,0,0,1];function O(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,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 a=0;a<2;++a)for(var i=n.clipBounds[a],o=0;o<3;++o)i[o]=Math.min(Math.max(this.clipBounds[a][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=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),a=0;a<3;++a)n.eyePosition[a]=s[12+a]/s[15];var l=s[15];for(a=0;a<3;++a)l+=this.lightPosition[a]*s[4*a+3];for(a=0;a<3;++a){var c=s[12+a];for(o=0;o<3;++o)c+=s[4*o+a]*this.lightPosition[o];n.lightPosition[a]=c/l}var u=L(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),a=0;a<3;++a)this.surfaceProject[a]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[a],this._shader.uniforms.clipBounds=u.clipBounds[a],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),a=0;a<3;++a)for(h.uniforms.permutation=k[a],r.lineWidth(this.contourWidth[a]*this.pixelRatio),o=0;o<this.contourLevels[a].length;++o)o===this.highlightLevel[a]?(h.uniforms.contourColor=this.highlightColor[a],h.uniforms.contourTint=this.highlightTint[a]):0!==o&&o-1!==this.highlightLevel[a]||(h.uniforms.contourColor=this.contourColor[a],h.uniforms.contourTint=this.contourTint[a]),this._contourCounts[a][o]&&(h.uniforms.height=this.contourLevels[a][o],f.draw(r.LINES,this._contourCounts[a][o],this._contourOffsets[a][o]));for(a=0;a<3;++a)for(h.uniforms.model=u.projections[a],h.uniforms.clipBounds=u.clipBounds[a],o=0;o<3;++o)if(this.contourProject[a][o]){h.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(h.uniforms.height=this.contourLevels[o][g],f.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(f.unbind(),(f=this._dynamicVAO).bind(),a=0;a<3;++a)if(0!==this._dynamicCounts[a])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=k[a],r.lineWidth(this.dynamicWidth[a]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[a],h.uniforms.contourTint=this.dynamicTint[a],h.uniforms.height=this.dynamicLevel[a],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]),o=0;o<3;++o)this.contourProject[o][a]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]));f.unbind()}}S.draw=function(t){return O.call(this,t,!1)},S.drawTransparent=function(t){return O.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,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 R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(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 B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,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 a=r.clipBounds[n],i=0;i<3;++i)a[i]=Math.min(Math.max(this.clipBounds[n][i],-1e8),1e8);var o=L(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(),i=0;i<3;++i)for(e.lineWidth(this.contourWidth[i]*this.pixelRatio),s.uniforms.permutation=k[i],n=0;n<this.contourLevels[i].length;++n)this._contourCounts[i][n]&&(s.uniforms.height=this.contourLevels[i][n],l.draw(e.LINES,this._contourCounts[i][n],this._contourOffsets[i][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],i=0;i<3;++i)if(this.contourProject[n][i]){s.uniforms.permutation=k[i],e.lineWidth(this.contourWidth[i]*this.pixelRatio);for(var c=0;c<this.contourLevels[i].length;++c)this._contourCounts[i][c]&&(s.uniforms.height=this.contourLevels[i][c],l.draw(e.LINES,this._contourCounts[i][c],this._contourOffsets[i][c]))}l.unbind()}},S.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,a=Math.floor(n),i=n-a,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;a+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?i:1-i,f=0;f<2;++f)for(var p=a+u,d=s+f,m=h*(f?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*m;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=i<.5?a:a+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.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))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(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 a=(e.shape[0]+2)*(e.shape[1]+2);a>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(a))),this._field[2]=h(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 i=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]=h(this._field[o].data,[i[0]+2,i[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 c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==i[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=h(p)),p.shape[0]!==i[o])throw new Error(\"gl-surface: invalid tick length\");var d=h(p.data,i);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 g=[0,0];g[o]=1,this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2],g,0)}this._field[0].set(0,0,0);for(var v=0;v<i[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(i[0]+1,0,i[0]-1),this._field[1].set(0,0,0),v=0;v<i[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,i[1]+1,i[1]-1)}var y=this._field,x=h(s.mallocFloat(3*y[2].size*2),[3,i[0]+2,i[1]+2,2]);for(o=0;o<3;++o)m(x.pick(o),y[o],\"mirror\");var b=h(s.mallocFloat(3*y[2].size),[i[0]+2,i[1]+2,3]);for(o=0;o<i[0]+2;++o)for(v=0;v<i[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),M=x.get(1,o,v,1),A=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-M*A,C=A*w-S*_,L=_*M-w*k,P=Math.sqrt(E*E+C*C+L*L);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(C),Math.abs(L)))<1e-8?(L=1,C=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,C*P),b.set(o,v,2,L*P)}s.free(x.data);var I=[1/0,1/0,1/0],z=[-1/0,-1/0,-1/0],O=1/0,D=-1/0,F=(i[0]-1)*(i[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<i[0]-1;++o)t:for(v=0;v<i[1]-1;++v){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+v+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var Y=o+T[H][0],W=v+T[H][1],Z=this._field[0].get(Y+1,W+1),X=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),C=b.get(Y+1,W+1,1),L=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=Z,N[j++]=X,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=C,N[j++]=L,I[0]=Math.min(I[0],Z+this.objectOffset[0]),I[1]=Math.min(I[1],X+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),O=Math.min(O,J),z[0]=Math.max(z[0],Z+this.objectOffset[0]),z[1]=Math.max(z[1],X+this.objectOffset[1]),z[2]=Math.max(z[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(O=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-O)/(D-O);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,z],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===O&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[O,D]}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(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,i=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var at=f(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<at.cells.length;++v){var it=at.cells[v];for(H=0;H<2;++H){var ot=at.positions[it[H]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ht=0|Math.floor(ut),ft=ut-ht,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var gt=($+dt+1)%3;for(V=0;V<2;++V){var mt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),i[0]),q=0;q<2;++q){var vt=q?ft:1-ft;if(W=0|Math.min(Math.max(ht+q,0),i[1]),G=dt<2?this._field[gt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=mt*vt;nt[dt]+=yt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.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)},S.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,a=this.shape,i=s.mallocFloat(12*a[0]*a[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),g=d.cells,m=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var v=g[e],y=0;y<2;++y){var x=m[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,a[0]),T=b-_,k=1-T,M=+x[1],A=0|M,S=0|Math.min(A+1,a[1]),E=M-A,C=1-E,L=k*C,P=k*E,I=T*C,z=T*E,O=L*h.get(_,A)+P*h.get(_,S)+I*h.get(w,A)+z*h.get(w,S),D=L*p.get(_,A)+P*p.get(_,S)+I*p.get(w,A)+z*p.get(w,S);if(isNaN(O)||isNaN(D)){y&&(n-=1);break}i[2*n+0]=O,i[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(i.subarray(0,2*n)),s.freeFloat(i)}}},{\"./lib/shaders\":324,\"binary-search-bounds\":96,\"bit-twiddle\":97,colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469,\"ndarray-gradient\":462,\"ndarray-ops\":464,\"ndarray-pack\":465,\"surface-nets\":542,\"typedarray-pool\":567}],326:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),a=t(\"pick-by-alias\"),i=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),h=t(\"parse-rect\"),f=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),g=t(\"detect-kerning\"),m=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||i({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(f(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\t\"+(T.normalViewport?\"\":\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\")+\"\\n\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ positionOffset))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\t\"+(T.normalViewport?\"position.y = 1. - position.y;\":\"\")+\"\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=a(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=h(t.viewport),T.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,i=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var a=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&a==e.font[r].baseString||(i=!0,e.font[r]=T.fonts[a],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:a,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[a]=e.font[r]}})),(i||o)&&this.font.forEach((function(r,a){var i=n.stringify({size:e.fontSize[a],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[a]=e.shader.atlas[i],!e.fontAtlas[a]){var o=r.metrics;e.shader.atlas[i]=e.fontAtlas[a]={fontString:i,step:2*Math.ceil(e.fontSize[a]*o.bottom*.5),em:e.fontSize[a],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),f=0;f<s.length;f++)s[f]=t.text;t.text=s}if(null!=t.text||i){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var a=e.fontAtlas[n],i=0;i<e.text.length;i++){var o=e.text.charAt(i);if(null==a.ids[o]&&(a.ids[o]=a.chars.length,a.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);m(t.kerning,g(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),M=0,A=0;M<this.counts.length;M++){var S=this.counts[M];if(w)for(var E=0;E<S;E++)k[A++]=t.position[2*M],k[A++]=t.position[2*M+1];else for(var C=0;C<S;C++)k[A++]=t.position[M][0],k[A++]=t.position[M][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||i){var L=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,z=0;I<this.counts.length;I++){for(var O=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<O;F++){var B=this.text.charAt(z),N=this.text.charAt(z-1);if(L[z]=R.ids[B],P[2*z]=D.width[B],F){var j=P[2*z-2],U=P[2*z],V=P[2*z-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}P[2*z+1]=V}else P[2*z+1]=.5*P[2*z];z++}this.textWidth.push(P.length?.5*P[2*z-2]+P[2*z-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:L,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(L),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],a=n.step,i=Math.floor(T.maxAtlasSize/a),o=Math.min(i,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*a),u=x(s*a);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[a,a]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,a=0;return a+=.5*n.bottom,a+=\"number\"==typeof t?t-n.baseline:-n[t],T.normalViewport||(a*=-1),a}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),\"uint8\"),W)}else{var Z=t.color.length;H=u.mallocUint8(4*Z);for(var X=0;X<Z;X++)H.set(l(t.color[X]||0,\"uint8\"),4*X)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.normalViewport=!1,T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{\"bit-twiddle\":97,\"color-normalize\":125,\"css-font\":144,\"detect-kerning\":172,\"es6-weak-map\":233,\"flatten-vertex-data\":244,\"font-atlas\":245,\"font-measure\":246,\"gl-util/context\":328,\"is-plain-obj\":443,\"object-assign\":473,\"parse-rect\":478,\"parse-unit\":480,\"pick-by-alias\":485,regl:512,\"to-px\":550,\"typedarray-pool\":567}],327:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),a=t(\"ndarray-ops\"),i=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(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 y(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 x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(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]}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 h=function(t,e){a.muls(t,e,255)};function f(t,e,r){var n=t.gl,a=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)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 p(t,e,r,n,a,i){this.gl=t,this.handle=e,this.format=a,this.type=i,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 d=p.prototype;function g(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 m(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 v(t,e,r,n,a){var i=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture shape\");if(a===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,a,null),new p(t,o,e,r,n,a)}function y(t,e,r,n,a,i){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,a,a,i,e),new p(t,o,r,n,a,i)}function x(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=g(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,f,d=0;if(2===o.length)d=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])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];f=i.malloc(v,r);var x=n(f,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?a.assign(x,e):h(x,e),u=f.subarray(0,v)}var b=m(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||i.free(f),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{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}}}),d.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},d.dispose=function(){this.gl.deleteTexture(this.handle)},d.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)},d.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 l=u(t)?t:t.raw;if(l){this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l)}else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,c,u){var f=u.dtype,p=u.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var d=0,m=0,v=g(p,u.stride.slice());\"float32\"===f?d=t.FLOAT:\"float64\"===f?(d=t.FLOAT,v=!1,f=\"float32\"):\"uint8\"===f?d=t.UNSIGNED_BYTE:(d=t.UNSIGNED_BYTE,v=!1,f=\"uint8\");if(2===p.length)m=t.LUMINANCE,p=[p[0],p[1],1],u=n(u.data,p,[u.stride[0],u.stride[1],1],u.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])m=t.ALPHA;else if(2===p[2])m=t.LUMINANCE_ALPHA;else if(3===p[2])m=t.RGB;else{if(4!==p[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");m=t.RGBA}p[2]}m!==t.LUMINANCE&&m!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(m=s);if(m!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var 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n;try{n=s(r,i)}catch(e){t=e}e(t,n)}))},e.exports.types=Object.keys(i)}).call(this,t(\"buffer\").Buffer)},{\"./detector\":417,\"./types\":420,buffer:111,fs:109,path:481}],419:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){return r=r||0,t[\"readUInt\"+e+(n?\"BE\":\"LE\")].call(t,r)}},{}],420:[function(t,e,r){\"use strict\";var n={bmp:t(\"./types/bmp\"),cur:t(\"./types/cur\"),dds:t(\"./types/dds\"),gif:t(\"./types/gif\"),icns:t(\"./types/icns\"),ico:t(\"./types/ico\"),jpg:t(\"./types/jpg\"),png:t(\"./types/png\"),psd:t(\"./types/psd\"),svg:t(\"./types/svg\"),tiff:t(\"./types/tiff\"),webp:t(\"./types/webp\")};e.exports=n},{\"./types/bmp\":421,\"./types/cur\":422,\"./types/dds\":423,\"./types/gif\":424,\"./types/icns\":425,\"./types/ico\":426,\"./types/jpg\":427,\"./types/png\":428,\"./types/psd\":429,\"./types/svg\":430,\"./types/tiff\":431,\"./types/webp\":432}],421:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return\"BM\"===t.toString(\"ascii\",0,2)},calculate:function(t){return{width:t.readUInt32LE(18),height:Math.abs(t.readInt32LE(22))}}}},{}],422:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return 0===t.readUInt16LE(0)&&2===t.readUInt16LE(2)},calculate:t(\"./ico\").calculate}},{\"./ico\":426}],423:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return 542327876===t.readUInt32LE(0)},calculate:function(t){return{height:t.readUInt32LE(12),width:t.readUInt32LE(16)}}}},{}],424:[function(t,e,r){\"use strict\";var n=/^GIF8[79]a/;e.exports={detect:function(t){var e=t.toString(\"ascii\",0,6);return n.test(e)},calculate:function(t){return{width:t.readUInt16LE(6),height:t.readUInt16LE(8)}}}},{}],425:[function(t,e,r){\"use strict\";var n={ICON:32,\"ICN#\":32,\"icm#\":16,icm4:16,icm8:16,\"ics#\":16,ics4:16,ics8:16,is32:16,s8mk:16,icp4:16,icl4:32,icl8:32,il32:32,l8mk:32,icp5:32,ic11:32,ich4:48,ich8:48,ih32:48,h8mk:48,icp6:64,ic12:32,it32:128,t8mk:128,ic07:128,ic08:256,ic13:256,ic09:512,ic14:512,ic10:1024};function a(t,e){var r=e+4;return[t.toString(\"ascii\",e,r),t.readUInt32BE(r)]}function i(t){var e=n[t];return{width:e,height:e,type:t}}e.exports={detect:function(t){return\"icns\"===t.toString(\"ascii\",0,4)},calculate:function(t){var e,r,n,o=t.length,s=8,l=t.readUInt32BE(4);if(r=i((e=a(t,s))[0]),(s+=e[1])===l)return r;for(n={width:r.width,height:r.height,images:[r]};s<l&&s<o;)r=i((e=a(t,s))[0]),s+=e[1],n.images.push(r);return n}}},{}],426:[function(t,e,r){\"use strict\";function n(t,e){var r=t.readUInt8(e);return 0===r?256:r}function a(t,e){var r=6+16*e;return{width:n(t,r),height:n(t,r+1)}}e.exports={detect:function(t){return 0===t.readUInt16LE(0)&&1===t.readUInt16LE(2)},calculate:function(t){var e,r=t.readUInt16LE(4),n=a(t,0);if(1===r)return n;for(n.images=[{width:n.width,height:n.height}],e=1;e<r;e+=1)n.images.push(a(t,e));return n}}},{}],427:[function(t,e,r){\"use strict\";var n=t(\"../readUInt\");function a(t){return\"45786966\"===t.toString(\"hex\",2,6)}function i(t,e){return{height:t.readUInt16BE(e),width:t.readUInt16BE(e+2)}}function o(t,e){var r=t.slice(2,e),a=r.toString(\"hex\",6,8),i=\"4d4d\"===a;if(i||\"4949\"===a)return function(t,e){for(var r,a,i=n(t,16,14,e),o=0;o<i;o++){if(a=(r=16+12*o)+12,r>t.length)return;var s=t.slice(r,a);if(274===n(s,16,0,e)){if(3!==n(s,16,2,e))return;if(1!==n(s,32,4,e))return;return n(s,16,8,e)}}}(r,i)}function s(t,e){if(e>t.length)throw new TypeError(\"Corrupt JPG, exceeded buffer limits\");if(255!==t[e])throw new TypeError(\"Invalid JPG, marker table corrupted\")}e.exports={detect:function(t){return\"ffd8\"===t.toString(\"hex\",0,2)},calculate:function(t){var e,r,n;for(t=t.slice(4);t.length;){if(r=t.readUInt16BE(0),a(t)&&(e=o(t,r)),s(t,r),192===(n=t[r+1])||193===n||194===n){var l=i(t,r+5);return e?{width:l.width,height:l.height,orientation:e}:l}t=t.slice(r+2)}throw new TypeError(\"Invalid JPG, no size found\")}}},{\"../readUInt\":419}],428:[function(t,e,r){\"use strict\";e.exports={detect:function(t){if(\"PNG\\r\\n\\x1a\\n\"===t.toString(\"ascii\",1,8)){var e=t.toString(\"ascii\",12,16);if(\"CgBI\"===e&&(e=t.toString(\"ascii\",28,32)),\"IHDR\"!==e)throw new TypeError(\"invalid png\");return!0}},calculate:function(t){return\"CgBI\"===t.toString(\"ascii\",12,16)?{width:t.readUInt32BE(32),height:t.readUInt32BE(36)}:{width:t.readUInt32BE(16),height:t.readUInt32BE(20)}}}},{}],429:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return\"8BPS\"===t.toString(\"ascii\",0,4)},calculate:function(t){return{width:t.readUInt32BE(18),height:t.readUInt32BE(14)}}}},{}],430:[function(t,e,r){\"use strict\";var n=/<svg\\s([^>\"']|\"[^\"]*\"|'[^']*')*>/;var a={root:n,width:/\\swidth=(['\"])([^%]+?)\\1/,height:/\\sheight=(['\"])([^%]+?)\\1/,viewbox:/\\sviewBox=(['\"])(.+?)\\1/},i={cm:96/2.54,mm:96/2.54/10,m:96/2.54*100,pt:96/72,pc:96/72/12,em:16,ex:8};function o(t){var e=/([0-9.]+)([a-z]*)/.exec(t);if(e)return Math.round(parseFloat(e[1])*(i[e[2]]||1))}function s(t){var e=t.split(\" \");return{width:o(e[2]),height:o(e[3])}}e.exports={detect:function(t){return n.test(t)},calculate:function(t){var e=t.toString(\"utf8\").match(a.root);if(e){var r=function(t){var e=t.match(a.width),r=t.match(a.height),n=t.match(a.viewbox);return{width:e&&o(e[2]),height:r&&o(r[2]),viewbox:n&&s(n[2])}}(e[0]);if(r.width&&r.height)return function(t){return{width:t.width,height:t.height}}(r);if(r.viewbox)return function(t){var e=t.viewbox.width/t.viewbox.height;return t.width?{width:t.width,height:Math.floor(t.width/e)}:t.height?{width:Math.floor(t.height*e),height:t.height}:{width:t.viewbox.width,height:t.viewbox.height}}(r)}throw new TypeError(\"invalid svg\")}}},{}],431:[function(t,e,r){(function(r){\"use strict\";var n=t(\"fs\"),a=t(\"../readUInt\");function i(t,e){var r=a(t,16,8,e);return(a(t,16,10,e)<<16)+r}function o(t){if(t.length>24)return t.slice(12)}e.exports={detect:function(t){var e=t.toString(\"hex\",0,4);return\"49492a00\"===e||\"4d4d002a\"===e},calculate:function(t,e){if(!e)throw new TypeError(\"Tiff doesn't support buffer\");var s=\"BE\"===function(t){var e=t.toString(\"ascii\",0,2);return\"II\"===e?\"LE\":\"MM\"===e?\"BE\":void 0}(t),l=function(t,e){for(var r,n,s,l={};t&&t.length&&(r=a(t,16,0,e),n=a(t,16,2,e),s=a(t,32,4,e),0!==r);)1!==s||3!==n&&4!==n||(l[r]=i(t,e)),t=o(t);return l}(function(t,e,i){var o=a(t,32,4,i),s=1024,l=n.statSync(e).size;o+s>l&&(s=l-o-10);var c=r.alloc(s),u=n.openSync(e,\"r\");return n.readSync(u,c,0,s,o),c.slice(2)}(t,e,s),s),c=l[256],u=l[257];if(!c||!u)throw new TypeError(\"Invalid Tiff, missing tags\");return{width:c,height:u}}}}).call(this,t(\"buffer\").Buffer)},{\"../readUInt\":419,buffer:111,fs:109}],432:[function(t,e,r){\"use strict\";e.exports={detect:function(t){var e=\"RIFF\"===t.toString(\"ascii\",0,4),r=\"WEBP\"===t.toString(\"ascii\",8,12),n=\"VP8\"===t.toString(\"ascii\",12,15);return e&&r&&n},calculate:function(t){var e=t.toString(\"ascii\",12,16);if(t=t.slice(20,30),\"VP8X\"===e){var r=t[0];return!(!(0==(192&r))||!(0==(1&r)))&&function(t){return{width:1+t.readUIntLE(4,3),height:1+t.readUIntLE(7,3)}}(t)}if(\"VP8 \"===e&&47!==t[0])return function(t){return{width:16383&t.readInt16LE(6),height:16383&t.readInt16LE(8)}}(t);var n=t.toString(\"hex\",3,6);return\"VP8L\"===e&&\"9d012a\"!==n&&function(t){return{width:1+((63&t[2])<<8|t[1]),height:1+((15&t[4])<<10|t[3]<<2|(192&t[2])>>6)}}(t)}}},{}],433:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.length;if(0===r)throw new Error(\"Must have at least d+1 points\");var a=t[0].length;if(r<=a)throw new Error(\"Must input at least d+1 points\");var o=t.slice(0,a+1),s=n.apply(void 0,o);if(0===s)throw new Error(\"Input not in general position\");for(var l=new Array(a+1),u=0;u<=a;++u)l[u]=u;s<0&&(l[0]=1,l[1]=0);var h=new i(l,new Array(a+1),!1),f=h.adjacent,p=new Array(a+2);for(u=0;u<=a;++u){for(var d=l.slice(),g=0;g<=a;++g)g===u&&(d[g]=-1);var m=d[0];d[0]=d[1],d[1]=m;var v=new i(d,new Array(a+1),!0);f[u]=v,p[u]=v}p[a+1]=h;for(u=0;u<=a;++u){d=f[u].vertices;var y=f[u].adjacent;for(g=0;g<=a;++g){var x=d[g];if(x<0)y[g]=h;else for(var b=0;b<=a;++b)f[b].vertices.indexOf(x)<0&&(y[g]=f[b])}}var _=new c(a,o,p),w=!!e;for(u=a+1;u<r;++u)_.insert(t[u],w);return _.boundary()};var n=t(\"robust-orientation\"),a=t(\"simplicial-complex\").compareCells;function i(t,e,r){this.vertices=t,this.adjacent=e,this.boundary=r,this.lastVisited=-1}function 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s=t.adjacent,l=0;l<=r;++l){var c=s[l];if(c.boundary&&!(c.lastVisited<=-n)){for(var u=c.vertices,h=0;h<=r;++h){var f=u[h];a[h]=f<0?e:i[f]}var p=this.orient();if(p>0)return c;c.lastVisited=-n,0===p&&o.push(c)}}}return null},u.walk=function(t,e){var r=this.vertices.length-1,n=this.dimension,a=this.vertices,i=this.tuple,o=e?this.interior.length*Math.random()|0:this.interior.length-1,s=this.interior[o];t:for(;!s.boundary;){for(var l=s.vertices,c=s.adjacent,u=0;u<=n;++u)i[u]=a[l[u]];s.lastVisited=r;for(u=0;u<=n;++u){var h=c[u];if(!(h.lastVisited>=r)){var f=i[u];i[u]=t;var p=this.orient();if(i[u]=f,p<0){s=h;continue t}h.boundary?h.lastVisited=-r:h.lastVisited=r}}return}return s},u.addPeaks=function(t,e){var r=this.vertices.length-1,n=this.dimension,a=this.vertices,l=this.tuple,c=this.interior,u=this.simplices,h=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,c.push(e);for(var f=[];h.length>0;){var p=(e=h.pop()).vertices,d=e.adjacent,g=p.indexOf(r);if(!(g<0))for(var m=0;m<=n;++m)if(m!==g){var v=d[m];if(v.boundary&&!(v.lastVisited>=r)){var y=v.vertices;if(v.lastVisited!==-r){for(var x=0,b=0;b<=n;++b)y[b]<0?(x=b,l[b]=t):l[b]=a[y[b]];if(this.orient()>0){y[x]=r,v.boundary=!1,c.push(v),h.push(v),v.lastVisited=r;continue}v.lastVisited=-r}var _=v.adjacent,w=p.slice(),T=d.slice(),k=new i(w,T,!0);u.push(k);var M=_.indexOf(e);if(!(M<0)){_[M]=k,T[g]=v,w[m]=-1,T[m]=e,d[m]=k,k.flip();for(b=0;b<=n;++b){var A=w[b];if(!(A<0||A===r)){for(var S=new Array(n-1),E=0,C=0;C<=n;++C){var L=w[C];L<0||C===b||(S[E++]=L)}f.push(new o(S,k,b))}}}}}}f.sort(s);for(m=0;m+1<f.length;m+=2){var P=f[m],I=f[m+1],z=P.index,O=I.index;z<0||O<0||(P.cell.adjacent[P.index]=I.cell,I.cell.adjacent[I.index]=P.cell)}},u.insert=function(t,e){var r=this.vertices;r.push(t);var n=this.walk(t,e);if(n){for(var a=this.dimension,i=this.tuple,o=0;o<=a;++o){var s=n.vertices[o];i[o]=s<0?t:r[s]}var l=this.orient(i);l<0||(0!==l||(n=this.handleBoundaryDegeneracy(n,t)))&&this.addPeaks(t,n)}},u.boundary=function(){for(var t=this.dimension,e=[],r=this.simplices,n=r.length,a=0;a<n;++a){var i=r[a];if(i.boundary){for(var o=new Array(t),s=i.vertices,l=0,c=0,u=0;u<=t;++u)s[u]>=0?o[l++]=s[u]:c=1&u;if(c===(1&t)){var h=o[0];o[0]=o[1],o[1]=h}e.push(o)}}return e}},{\"robust-orientation\":520,\"simplicial-complex\":530}],434:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\");function a(t,e,r,n,a){this.mid=t,this.left=e,this.right=r,this.leftPoints=n,this.rightPoints=a,this.count=(e?e.count:0)+(r?r.count:0)+n.length}e.exports=function(t){if(!t||0===t.length)return new v(null);return new v(m(t))};var i=a.prototype;function o(t,e){t.mid=e.mid,t.left=e.left,t.right=e.right,t.leftPoints=e.leftPoints,t.rightPoints=e.rightPoints,t.count=e.count}function s(t,e){var r=m(e);t.mid=r.mid,t.left=r.left,t.right=r.right,t.leftPoints=r.leftPoints,t.rightPoints=r.rightPoints,t.count=r.count}function l(t,e){var r=t.intervals([]);r.push(e),s(t,r)}function c(t,e){var r=t.intervals([]),n=r.indexOf(e);return n<0?0:(r.splice(n,1),s(t,r),1)}function u(t,e,r){for(var n=0;n<t.length&&t[n][0]<=e;++n){var a=r(t[n]);if(a)return a}}function h(t,e,r){for(var n=t.length-1;n>=0&&t[n][1]>=e;--n){var a=r(t[n]);if(a)return a}}function f(t,e){for(var r=0;r<t.length;++r){var n=e(t[r]);if(n)return n}}function p(t,e){return t-e}function d(t,e){var r=t[0]-e[0];return r||t[1]-e[1]}function g(t,e){var r=t[1]-e[1];return r||t[0]-e[0]}function m(t){if(0===t.length)return null;for(var e=[],r=0;r<t.length;++r)e.push(t[r][0],t[r][1]);e.sort(p);var n=e[e.length>>1],i=[],o=[],s=[];for(r=0;r<t.length;++r){var l=t[r];l[1]<n?i.push(l):n<l[0]?o.push(l):s.push(l)}var c=s,u=s.slice();return c.sort(d),u.sort(g),new a(n,m(i),m(o),c,u)}function v(t){this.root=t}i.intervals=function(t){return t.push.apply(t,this.leftPoints),this.left&&this.left.intervals(t),this.right&&this.right.intervals(t),t},i.insert=function(t){var e=this.count-this.leftPoints.length;if(this.count+=1,t[1]<this.mid)this.left?4*(this.left.count+1)>3*(e+1)?l(this,t):this.left.insert(t):this.left=m([t]);else if(t[0]>this.mid)this.right?4*(this.right.count+1)>3*(e+1)?l(this,t):this.right.insert(t):this.right=m([t]);else{var r=n.ge(this.leftPoints,t,d),a=n.ge(this.rightPoints,t,g);this.leftPoints.splice(r,0,t),this.rightPoints.splice(a,0,t)}},i.remove=function(t){var e=this.count-this.leftPoints;if(t[1]<this.mid)return this.left?4*(this.right?this.right.count:0)>3*(e-1)?c(this,t):2===(s=this.left.remove(t))?(this.left=null,this.count-=1,1):(1===s&&(this.count-=1),s):0;if(t[0]>this.mid)return this.right?4*(this.left?this.left.count:0)>3*(e-1)?c(this,t):2===(s=this.right.remove(t))?(this.right=null,this.count-=1,1):(1===s&&(this.count-=1),s):0;if(1===this.count)return this.leftPoints[0]===t?2:0;if(1===this.leftPoints.length&&this.leftPoints[0]===t){if(this.left&&this.right){for(var r=this,a=this.left;a.right;)r=a,a=a.right;if(r===this)a.right=this.right;else{var i=this.left,s=this.right;r.count-=a.count,r.right=a.left,a.left=i,a.right=s}o(this,a),this.count=(this.left?this.left.count:0)+(this.right?this.right.count:0)+this.leftPoints.length}else this.left?o(this,this.left):o(this,this.right);return 1}for(i=n.ge(this.leftPoints,t,d);i<this.leftPoints.length&&this.leftPoints[i][0]===t[0];++i)if(this.leftPoints[i]===t){this.count-=1,this.leftPoints.splice(i,1);for(s=n.ge(this.rightPoints,t,g);s<this.rightPoints.length&&this.rightPoints[s][1]===t[1];++s)if(this.rightPoints[s]===t)return this.rightPoints.splice(s,1),1}return 0},i.queryPoint=function(t,e){if(t<this.mid){if(this.left)if(r=this.left.queryPoint(t,e))return r;return u(this.leftPoints,t,e)}if(t>this.mid){var r;if(this.right)if(r=this.right.queryPoint(t,e))return r;return h(this.rightPoints,t,e)}return f(this.leftPoints,e)},i.queryInterval=function(t,e,r){var n;if(t<this.mid&&this.left&&(n=this.left.queryInterval(t,e,r)))return n;if(e>this.mid&&this.right&&(n=this.right.queryInterval(t,e,r)))return n;return e<this.mid?u(this.leftPoints,e,r):t>this.mid?h(this.rightPoints,t,r):f(this.leftPoints,r)};var y=v.prototype;y.insert=function(t){this.root?this.root.insert(t):this.root=new a(t[0],null,null,[t],[t])},y.remove=function(t){if(this.root){var e=this.root.remove(t);return 2===e&&(this.root=null),0!==e}return!1},y.queryPoint=function(t,e){if(this.root)return this.root.queryPoint(t,e)},y.queryInterval=function(t,e,r){if(t<=e&&this.root)return this.root.queryInterval(t,e,r)},Object.defineProperty(y,\"count\",{get:function(){return this.root?this.root.count:0}}),Object.defineProperty(y,\"intervals\",{get:function(){return this.root?this.root.intervals([]):[]}})},{\"binary-search-bounds\":435}],435:[function(t,e,r){arguments[4][243][0].apply(r,arguments)},{dup:243}],436:[function(t,e,r){\"use strict\";e.exports=function(t,e){e=e||new Array(t.length);for(var r=0;r<t.length;++r)e[t[r]]=r;return e}},{}],437:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=new Array(t),r=0;r<t;++r)e[r]=r;return e}},{}],438:[function(t,e,r){e.exports=!0},{}],439:[function(t,e,r){function n(t){return!!t.constructor&&\"function\"==typeof t.constructor.isBuffer&&t.constructor.isBuffer(t)}\n",
+       "/*!\n",
+       " * Determine if an object is a Buffer\n",
+       " *\n",
+       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
+       " * @license  MIT\n",
+       " */\n",
+       "e.exports=function(t){return null!=t&&(n(t)||function(t){return\"function\"==typeof t.readFloatLE&&\"function\"==typeof t.slice&&n(t.slice(0,0))}(t)||!!t._isBuffer)}},{}],440:[function(t,e,r){\"use strict\";e.exports=\"undefined\"!=typeof navigator&&(/MSIE/.test(navigator.userAgent)||/Trident\\//.test(navigator.appVersion))},{}],441:[function(t,e,r){\"use strict\";e.exports=i,e.exports.isMobile=i,e.exports.default=i;var n=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino/i,a=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino|android|ipad|playbook|silk/i;function i(t){t||(t={});var e=t.ua;if(e||\"undefined\"==typeof navigator||(e=navigator.userAgent),e&&e.headers&&\"string\"==typeof e.headers[\"user-agent\"]&&(e=e.headers[\"user-agent\"]),\"string\"!=typeof e)return!1;var r=t.tablet?a.test(e):n.test(e);return!r&&t.tablet&&t.featureDetect&&navigator&&navigator.maxTouchPoints>1&&-1!==e.indexOf(\"Macintosh\")&&-1!==e.indexOf(\"Safari\")&&(r=!0),r}},{}],442:[function(t,e,r){\"use strict\";e.exports=function(t){var e=typeof t;return null!==t&&(\"object\"===e||\"function\"===e)}},{}],443:[function(t,e,r){\"use strict\";var n=Object.prototype.toString;e.exports=function(t){var e;return\"[object Object]\"===n.call(t)&&(null===(e=Object.getPrototypeOf(t))||e===Object.getPrototypeOf({}))}},{}],444:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e,r=t.length,n=0;n<r;n++)if(((e=t.charCodeAt(n))<9||e>13)&&32!==e&&133!==e&&160!==e&&5760!==e&&6158!==e&&(e<8192||e>8205)&&8232!==e&&8233!==e&&8239!==e&&8287!==e&&8288!==e&&12288!==e&&65279!==e)return!1;return!0}},{}],445:[function(t,e,r){\"use strict\";e.exports=function(t){return\"string\"==typeof t&&(t=t.trim(),!!(/^[mzlhvcsqta]\\s*[-+.0-9][^mlhvzcsqta]+/i.test(t)&&/[\\dz]$/i.test(t)&&t.length>4))}},{}],446:[function(t,e,r){e.exports=function(t,e,r){return t*(1-r)+e*r}},{}],447:[function(t,e,r){!function(t,n){\"object\"==typeof r&&\"undefined\"!=typeof e?e.exports=n():(t=t||self).mapboxgl=n()}(this,(function(){\"use strict\";var t,e,r;function n(n,a){if(t)if(e){var i=\"var sharedChunk = {}; (\"+t+\")(sharedChunk); (\"+e+\")(sharedChunk);\",o={};t(o),(r=a(o)).workerUrl=window.URL.createObjectURL(new Blob([i],{type:\"text/javascript\"}))}else e=a;else t=a}return n(0,(function(t){function e(t,e){return t(e={exports:{}},e.exports),e.exports}var r=n;function n(t,e,r,n){this.cx=3*t,this.bx=3*(r-t)-this.cx,this.ax=1-this.cx-this.bx,this.cy=3*e,this.by=3*(n-e)-this.cy,this.ay=1-this.cy-this.by,this.p1x=t,this.p1y=n,this.p2x=r,this.p2y=n}n.prototype.sampleCurveX=function(t){return((this.ax*t+this.bx)*t+this.cx)*t},n.prototype.sampleCurveY=function(t){return((this.ay*t+this.by)*t+this.cy)*t},n.prototype.sampleCurveDerivativeX=function(t){return(3*this.ax*t+2*this.bx)*t+this.cx},n.prototype.solveCurveX=function(t,e){var r,n,a,i,o;for(void 0===e&&(e=1e-6),a=t,o=0;o<8;o++){if(i=this.sampleCurveX(a)-t,Math.abs(i)<e)return a;var s=this.sampleCurveDerivativeX(a);if(Math.abs(s)<1e-6)break;a-=i/s}if((a=t)<(r=0))return r;if(a>(n=1))return n;for(;r<n;){if(i=this.sampleCurveX(a),Math.abs(i-t)<e)return a;t>i?r=a:n=a,a=.5*(n-r)+r}return a},n.prototype.solve=function(t,e){return this.sampleCurveY(this.solveCurveX(t,e))};var a=i;function i(t,e){this.x=t,this.y=e}function o(t,e,n,a){var i=new r(t,e,n,a);return function(t){return i.solve(t)}}i.prototype={clone:function(){return new i(this.x,this.y)},add:function(t){return this.clone()._add(t)},sub:function(t){return this.clone()._sub(t)},multByPoint:function(t){return this.clone()._multByPoint(t)},divByPoint:function(t){return this.clone()._divByPoint(t)},mult:function(t){return this.clone()._mult(t)},div:function(t){return this.clone()._div(t)},rotate:function(t){return this.clone()._rotate(t)},rotateAround:function(t,e){return this.clone()._rotateAround(t,e)},matMult:function(t){return this.clone()._matMult(t)},unit:function(){return this.clone()._unit()},perp:function(){return this.clone()._perp()},round:function(){return this.clone()._round()},mag:function(){return Math.sqrt(this.x*this.x+this.y*this.y)},equals:function(t){return this.x===t.x&&this.y===t.y},dist:function(t){return Math.sqrt(this.distSqr(t))},distSqr:function(t){var e=t.x-this.x,r=t.y-this.y;return e*e+r*r},angle:function(){return Math.atan2(this.y,this.x)},angleTo:function(t){return Math.atan2(this.y-t.y,this.x-t.x)},angleWith:function(t){return this.angleWithSep(t.x,t.y)},angleWithSep:function(t,e){return Math.atan2(this.x*e-this.y*t,this.x*t+this.y*e)},_matMult:function(t){var e=t[2]*this.x+t[3]*this.y;return this.x=t[0]*this.x+t[1]*this.y,this.y=e,this},_add:function(t){return this.x+=t.x,this.y+=t.y,this},_sub:function(t){return this.x-=t.x,this.y-=t.y,this},_mult:function(t){return this.x*=t,this.y*=t,this},_div:function(t){return this.x/=t,this.y/=t,this},_multByPoint:function(t){return this.x*=t.x,this.y*=t.y,this},_divByPoint:function(t){return this.x/=t.x,this.y/=t.y,this},_unit:function(){return this._div(this.mag()),this},_perp:function(){var t=this.y;return this.y=this.x,this.x=-t,this},_rotate:function(t){var e=Math.cos(t),r=Math.sin(t),n=r*this.x+e*this.y;return this.x=e*this.x-r*this.y,this.y=n,this},_rotateAround:function(t,e){var r=Math.cos(t),n=Math.sin(t),a=e.y+n*(this.x-e.x)+r*(this.y-e.y);return this.x=e.x+r*(this.x-e.x)-n*(this.y-e.y),this.y=a,this},_round:function(){return this.x=Math.round(this.x),this.y=Math.round(this.y),this}},i.convert=function(t){return t instanceof i?t:Array.isArray(t)?new i(t[0],t[1]):t};var s=o(.25,.1,.25,1);function l(t,e,r){return Math.min(r,Math.max(e,t))}function c(t,e,r){var n=r-e,a=((t-e)%n+n)%n+e;return a===e?r:a}function u(t){for(var e=[],r=arguments.length-1;r-- >0;)e[r]=arguments[r+1];for(var n=0,a=e;n<a.length;n+=1){var i=a[n];for(var o in i)t[o]=i[o]}return t}var h=1;function f(){return h++}function p(){return function t(e){return e?(e^16*Math.random()>>e/4).toString(16):([1e7]+-[1e3]+-4e3+-8e3+-1e11).replace(/[018]/g,t)}()}function d(t){return!!t&&/^[0-9a-f]{8}-[0-9a-f]{4}-[4][0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}$/i.test(t)}function g(t,e){t.forEach((function(t){e[t]&&(e[t]=e[t].bind(e))}))}function m(t,e){return-1!==t.indexOf(e,t.length-e.length)}function v(t,e,r){var n={};for(var a in t)n[a]=e.call(r||this,t[a],a,t);return 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r=e.parse(t[1],1,Dt);if(!r)return null;var n=[],a=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(a=e.expectedType);for(var i=1;i<t.length;i+=2){var o=1===i?-1/0:t[i],s=t[i+1],l=i,c=i+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,a);if(!u)return null;a=a||u.type,n.push([o,u])}return new je(a,r,n)},je.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var a=e.length;return n>=e[a-1]?r[a-1].evaluate(t):r[Ne(e,n)].evaluate(t)},je.prototype.eachChild=function(t){t(this.input);for(var 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e=Xe(t.r),r=Xe(t.g),n=Xe(t.b),a=Ye((.4124564*e+.3575761*r+.1804375*n)/.95047),i=Ye((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*i-16,a:500*(a-i),b:200*(i-Ye((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function Ke(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*We(e),r=.95047*We(r),n=1.08883*We(n),new Kt(Ze(3.2404542*r-1.5371385*e-.4985314*n),Ze(-.969266*r+1.8760108*e+.041556*n),Ze(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function Qe(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var $e={forward:Je,reverse:Ke,interpolate:function(t,e,r){return{l:Ue(t.l,e.l,r),a:Ue(t.a,e.a,r),b:Ue(t.b,e.b,r),alpha:Ue(t.alpha,e.alpha,r)}}},tr={forward:function(t){var e=Je(t),r=e.l,n=e.a,a=e.b,i=Math.atan2(a,n)*Ge;return{h:i<0?i+360:i,c:Math.sqrt(n*n+a*a),l:r,alpha:t.a}},reverse:function(t){var e=t.h*He,r=t.c;return Ke({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:Qe(t.h,e.h,r),c:Ue(t.c,e.c,r),l:Ue(t.l,e.l,r),alpha:Ue(t.alpha,e.alpha,r)}}},er=Object.freeze({__proto__:null,lab:$e,hcl:tr}),rr=function(t,e,r,n,a){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var i=0,o=a;i<o.length;i+=1){var s=o[i],l=s[1];this.labels.push(s[0]),this.outputs.push(l)}};function nr(t,e,r,n){var a=n-r,i=t-r;return 0===a?0:1===e?i/a:(Math.pow(e,i)-1)/(Math.pow(e,a)-1)}rr.interpolationFactor=function(t,e,n,a){var i=0;if(\"exponential\"===t.name)i=nr(e,t.base,n,a);else if(\"linear\"===t.name)i=nr(e,1,n,a);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;i=new r(o[0],o[1],o[2],o[3]).solve(nr(e,1,n,a))}return i},rr.parse=function(t,e){var r=t[0],n=t[1],a=t[2],i=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(a=e.parse(a,2,Dt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Bt:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<i.length;u+=2){var h=i[u],f=i[u+1],p=u+3,d=u+4;if(\"number\"!=typeof h)return e.error('Input/output pairs for 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i=Ne(e,n),o=rr.interpolationFactor(this.interpolation,n,e[i],e[i+1]),s=r[i].evaluate(t),l=r[i+1].evaluate(t);return\"interpolate\"===this.operator?Ve[this.type.kind.toLowerCase()](s,l,o):\"interpolate-hcl\"===this.operator?tr.reverse(tr.interpolate(tr.forward(s),tr.forward(l),o)):$e.reverse($e.interpolate($e.forward(s),$e.forward(l),o))},rr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},rr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},rr.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var ar=function(t,e){this.type=t,this.args=e};ar.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var a=[],i=0,o=t.slice(1);i<o.length;i+=1){var s=e.parse(o[i],1+a.length,r,void 0,{typeAnnotation:\"omit\"});if(!s)return null;r=r||s.type,a.push(s)}var l=n&&a.some((function(t){return Wt(n,t.type)}));return new ar(l?jt:r,a)},ar.prototype.evaluate=function(t){for(var e,r=null,n=0,a=0,i=this.args;a<i.length&&(n++,(r=i[a].evaluate(t))&&r instanceof ee&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);a+=1);return r},ar.prototype.eachChild=function(t){this.args.forEach(t)},ar.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},ar.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var 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t.push(this.result.serialize()),t};var or=function(t,e,r){this.type=t,this.index=e,this.input=r};or.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Dt),n=e.parse(t[2],2,Ht(e.expectedType||jt));return r&&n?new or(n.type.itemType,r,n):null},or.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new se(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new se(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new se(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},or.prototype.eachChild=function(t){t(this.index),t(this.input)},or.prototype.outputDefined=function(){return!1},or.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var sr=function(t,e){this.type=Ft,this.needle=t,this.haystack=e};sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,jt),n=e.parse(t[2],2,jt);return r&&n?Zt(r.type,[Ft,Rt,Dt,Ot,jt])?new sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(r.type)+\" instead\"):null},sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Xt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new se(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(ae(e))+\" instead.\");if(!Xt(r,[\"string\",\"array\"]))throw new se(\"Expected second argument to be of type array or string, but found \"+Gt(ae(r))+\" instead.\");return r.indexOf(e)>=0},sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},sr.prototype.outputDefined=function(){return!0},sr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var lr=function(t,e,r){this.type=Dt,this.needle=t,this.haystack=e,this.fromIndex=r};lr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,jt),n=e.parse(t[2],2,jt);if(!r||!n)return null;if(!Zt(r.type,[Ft,Rt,Dt,Ot,jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(r.type)+\" instead\");if(4===t.length){var a=e.parse(t[3],3,Dt);return a?new lr(r,n,a):null}return new lr(r,n)},lr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Xt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new se(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(ae(e))+\" instead.\");if(!Xt(r,[\"string\",\"array\"]))throw new se(\"Expected second argument to be of type array or string, but found \"+Gt(ae(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},lr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},lr.prototype.outputDefined=function(){return!1},lr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var cr=function(t,e,r,n,a,i){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=a,this.otherwise=i};cr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of arguments.\");var r,n;e.expectedType&&\"value\"!==e.expectedType.kind&&(n=e.expectedType);for(var a={},i=[],o=2;o<t.length-1;o+=2){var s=t[o],l=t[o+1];Array.isArray(s)||(s=[s]);var c=e.concat(o);if(0===s.length)return c.error(\"Expected at least one branch label.\");for(var u=0,h=s;u<h.length;u+=1){var f=h[u];if(\"number\"!=typeof f&&\"string\"!=typeof f)return c.error(\"Branch labels must be numbers or strings.\");if(\"number\"==typeof f&&Math.abs(f)>Number.MAX_SAFE_INTEGER)return c.error(\"Branch labels must be integers no larger than \"+Number.MAX_SAFE_INTEGER+\".\");if(\"number\"==typeof f&&Math.floor(f)!==f)return c.error(\"Numeric branch labels must be integer values.\");if(r){if(c.checkSubtype(r,ae(f)))return null}else r=ae(f);if(void 0!==a[String(f)])return c.error(\"Branch labels must be unique.\");a[String(f)]=i.length}var p=e.parse(l,o,n);if(!p)return null;n=n||p.type,i.push(p)}var d=e.parse(t[1],1,jt);if(!d)return null;var g=e.parse(t[t.length-1],t.length-1,n);return g?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new cr(r,n,d,a,i,g):null},cr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(ae(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},cr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},cr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},cr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},a=0,i=Object.keys(this.cases).sort();a<i.length;a+=1){var o=i[a];void 0===(h=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[h][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],h=u[0],f=u[1];e.push(1===f.length?s(f[0]):f.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var ur=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};ur.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 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hr=function(t,e,r,n){this.type=t,this.input=e,this.beginIndex=r,this.endIndex=n};function fr(t,e){return\"==\"===t||\"!=\"===t?\"boolean\"===e.kind||\"string\"===e.kind||\"number\"===e.kind||\"null\"===e.kind||\"value\"===e.kind:\"string\"===e.kind||\"number\"===e.kind||\"value\"===e.kind}function pr(t,e,r,n){return 0===n.compare(e,r)}function dr(t,e,r){var n=\"==\"!==t&&\"!=\"!==t;return function(){function a(t,e,r){this.type=Ft,this.lhs=t,this.rhs=e,this.collator=r,this.hasUntypedArgument=\"value\"===t.type.kind||\"value\"===e.type.kind}return a.parse=function(t,e){if(3!==t.length&&4!==t.length)return e.error(\"Expected two or three arguments.\");var r=t[0],i=e.parse(t[1],1,jt);if(!i)return null;if(!fr(r,i.type))return e.concat(1).error('\"'+r+\"\\\" comparisons are not supported for type '\"+Gt(i.type)+\"'.\");var o=e.parse(t[2],2,jt);if(!o)return null;if(!fr(r,o.type))return e.concat(2).error('\"'+r+\"\\\" comparisons are not supported for type 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this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,a,i)},Gr.prototype.evaluate=function(t,e,r,n,a,i){return this._styleExpression.evaluate(t,e,r,n,a,i)},Gr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?rr.interpolationFactor(this.interpolationType,t,e,r):0};var Wr=function(t,e){this._parameters=t,this._specification=e,Ct(this,function t(e,r){var n,a,i,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||!(s||void 0!==e.property),c=e.type||(Ir(r)?\"exponential\":\"interval\");if(o&&((e=Ct({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],Kt.parse(t[1])]}))),e.default=Kt.parse(e.default?e.default:r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!er[e.colorSpace])throw new Error(\"Unknown color space: \"+e.colorSpace);if(\"exponential\"===c)n=Nr;else if(\"interval\"===c)n=Br;else if(\"categorical\"===c){n=Fr,a=Object.create(null);for(var u=0,h=e.stops;u<h.length;u+=1){var f=h[u];a[f[0]]=f[1]}i=typeof 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s=o&&o.properties?o.properties[e.property]:void 0;return void 0===s?Rr(e.default,r.default):n(e,r,s,a,i)}}}(this._parameters,this._specification))};function Zr(t){var e=t.key,r=t.value,n=t.valueSpec||{},a=t.objectElementValidators||{},i=t.style,o=t.styleSpec,s=[],l=zr(r);if(\"object\"!==l)return[new St(e,r,\"object expected, \"+l+\" found\")];for(var c in r){var u=c.split(\".\")[0],h=n[u]||n[\"*\"],f=void 0;if(a[u])f=a[u];else if(n[u])f=bn;else if(a[\"*\"])f=a[\"*\"];else{if(!n[\"*\"]){s.push(new St(e,r[c],'unknown property \"'+c+'\"'));continue}f=bn}s=s.concat(f({key:(e?e+\".\":e)+c,value:r[c],valueSpec:h,style:i,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)a[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new St(e,r,'missing required property \"'+p+'\"'));return s}function Xr(t){var e=t.value,r=t.valueSpec,n=t.style,a=t.styleSpec,i=t.key,o=t.arrayElementValidator||bn;if(\"array\"!==zr(e))return[new St(i,e,\"array expected, \"+zr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new St(i,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new St(i,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};a.$version<7&&(s.function=r.function),\"object\"===zr(r.value)&&(s=r.value);for(var l=[],c=0;c<e.length;c++)l=l.concat(o({array:e,arrayIndex:c,value:e[c],valueSpec:s,style:n,styleSpec:a,key:i+\"[\"+c+\"]\"}));return l}function Jr(t){var e=t.key,r=t.value,n=t.valueSpec,a=zr(r);return\"number\"===a&&r!=r&&(a=\"NaN\"),\"number\"!==a?[new St(e,r,\"number expected, \"+a+\" found\")]:\"minimum\"in n&&r<n.minimum?[new St(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new St(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function Kr(t){var e,r,n,a=t.valueSpec,i=Lt(t.value.type),o={},s=\"categorical\"!==i&&void 0===t.value.property,l=!s,c=\"array\"===zr(t.value.stops)&&\"array\"===zr(t.value.stops[0])&&\"object\"===zr(t.value.stops[0][0]),u=Zr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===i)return[new St(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(Xr({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),\"array\"===zr(r)&&0===r.length&&e.push(new St(t.key,r,\"array must have at least one stop\")),e},default:function(t){return bn({key:t.key,value:t.value,valueSpec:a,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===i&&s&&u.push(new St(t.key,t.value,'missing required property \"property\"')),\"identity\"===i||t.value.stops||u.push(new St(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===i&&t.valueSpec.expression&&!Ir(t.valueSpec)&&u.push(new St(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!Lr(t.valueSpec)?u.push(new St(t.key,t.value,\"property functions not supported\")):s&&!Pr(t.valueSpec)&&u.push(new St(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==i&&!c||void 0!==t.value.property||u.push(new St(t.key,t.value,'\"property\" property is required')),u;function h(t){var e=[],i=t.value,s=t.key;if(\"array\"!==zr(i))return[new St(s,i,\"array expected, \"+zr(i)+\" found\")];if(2!==i.length)return[new St(s,i,\"array length 2 expected, length \"+i.length+\" found\")];if(c){if(\"object\"!==zr(i[0]))return[new St(s,i,\"object expected, \"+zr(i[0])+\" found\")];if(void 0===i[0].zoom)return[new St(s,i,\"object stop key must have zoom\")];if(void 0===i[0].value)return[new St(s,i,\"object stop key must have value\")];if(n&&n>Lt(i[0].zoom))return[new St(s,i[0].zoom,\"stop zoom values must appear in ascending order\")];Lt(i[0].zoom)!==n&&(n=Lt(i[0].zoom),r=void 0,o={}),e=e.concat(Zr({key:s+\"[0]\",value:i[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:Jr,value:f}}))}else e=e.concat(f({key:s+\"[0]\",value:i[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},i));return Vr(Pt(i[1]))?e.concat([new St(s+\"[1]\",i[1],\"expressions are not allowed in function stops.\")]):e.concat(bn({key:s+\"[1]\",value:i[1],valueSpec:a,style:t.style,styleSpec:t.styleSpec}))}function f(t,n){var s=zr(t.value),l=Lt(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new St(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new St(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==i){var u=\"number expected, \"+s+\" found\";return Lr(a)&&void 0===i&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new St(t.key,c,u)]}return\"categorical\"!==i||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==i&&\"number\"===s&&void 0!==r&&l<r?[new St(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===i&&l in o?[new St(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new St(t.key,c,\"integer expected, found \"+l)]}}function Qr(t){var e=(\"property\"===t.expressionContext?Yr:qr)(Pt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new St(\"\"+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 St(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!De(r))return[new St(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!De(r))return[new St(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Re(r,[\"zoom\",\"feature-state\"]))return[new St(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Oe(r))return[new St(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function $r(t){var e=t.key,r=t.value,n=t.valueSpec,a=[];return Array.isArray(n.values)?-1===n.values.indexOf(Lt(r))&&a.push(new St(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Lt(r))&&a.push(new St(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),a}function tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}Wr.deserialize=function(t){return new Wr(t._parameters,t._specification)},Wr.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var en={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function rn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};tn(t)||(t=an(t));var e=qr(t,en);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function nn(t,e){return t<e?-1:t>e?1:0}function an(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?on(t[1],t[2],\"==\"):\"!=\"===r?cn(on(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?on(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(an))):\"all\"===r?[\"all\"].concat(t.slice(1).map(an)):\"none\"===r?[\"all\"].concat(t.slice(1).map(an).map(cn)):\"in\"===r?sn(t[1],t.slice(2)):\"!in\"===r?cn(sn(t[1],t.slice(2))):\"has\"===r?ln(t[1]):\"!has\"===r?cn(ln(t[1])):\"within\"!==r||t}function on(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function sn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(nn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function ln(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function cn(t){return[\"!\",t]}function un(t){return tn(Pt(t.value))?Qr(Ct({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==zr(r))return[new St(n,r,\"array expected, \"+zr(r)+\" found\")];var a,i=e.styleSpec,o=[];if(r.length<1)return[new St(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat($r({key:n+\"[0]\",value:r[0],valueSpec:i.filter_operator,style:e.style,styleSpec:e.styleSpec})),Lt(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Lt(r[1])&&o.push(new St(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new St(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(a=zr(r[1]))&&o.push(new St(n+\"[1]\",r[1],\"string expected, \"+a+\" found\"));for(var s=2;s<r.length;s++)a=zr(r[s]),\"$type\"===Lt(r[1])?o=o.concat($r({key:n+\"[\"+s+\"]\",value:r[s],valueSpec:i.geometry_type,style:e.style,styleSpec:e.styleSpec})):\"string\"!==a&&\"number\"!==a&&\"boolean\"!==a&&o.push(new St(n+\"[\"+s+\"]\",r[s],\"string, number, or boolean expected, \"+a+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var l=1;l<r.length;l++)o=o.concat(t({key:n+\"[\"+l+\"]\",value:r[l],style:e.style,styleSpec:e.styleSpec}));break;case\"has\":case\"!has\":a=zr(r[1]),2!==r.length?o.push(new St(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"string\"!==a&&o.push(new St(n+\"[1]\",r[1],\"string expected, \"+a+\" found\"));break;case\"within\":a=zr(r[1]),2!==r.length?o.push(new St(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"object\"!==a&&o.push(new St(n+\"[1]\",r[1],\"object expected, \"+a+\" found\"))}return o}(t)}function hn(t,e){var r=t.key,n=t.style,a=t.styleSpec,i=t.value,o=t.objectKey,s=a[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return bn({key:r,value:i,valueSpec:a.transition,style:n,styleSpec:a});var c,u=t.valueSpec||s[o];if(!u)return[new St(r,i,'unknown property \"'+o+'\"')];if(\"string\"===zr(i)&&Lr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(i)))return[new St(r,i,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var h=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&h.push(new St(r,i,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Or(Pt(i))&&\"identity\"===Lt(i.type)&&h.push(new St(r,i,'\"text-font\" does not support identity functions'))),h.concat(bn({key:t.key,value:i,valueSpec:u,style:n,styleSpec:a,expressionContext:\"property\",propertyType:e,propertyKey:o}))}function fn(t){return hn(t,\"paint\")}function pn(t){return hn(t,\"layout\")}function dn(t){var e=[],r=t.value,n=t.key,a=t.style,i=t.styleSpec;r.type||r.ref||e.push(new St(n,r,'either \"type\" or \"ref\" is required'));var o,s=Lt(r.type),l=Lt(r.ref);if(r.id)for(var c=Lt(r.id),u=0;u<t.arrayIndex;u++){var h=a.layers[u];Lt(h.id)===c&&e.push(new St(n,r.id,'duplicate layer id \"'+r.id+'\", previously used at line '+h.id.__line__))}if(\"ref\"in r)[\"type\",\"source\",\"source-layer\",\"filter\",\"layout\"].forEach((function(t){t in r&&e.push(new St(n,r[t],'\"'+t+'\" is prohibited for ref layers'))})),a.layers.forEach((function(t){Lt(t.id)===l&&(o=t)})),o?o.ref?e.push(new St(n,r.ref,\"ref cannot reference another ref layer\")):s=Lt(o.type):e.push(new St(n,r.ref,'ref layer \"'+l+'\" not found'));else if(\"background\"!==s)if(r.source){var f=a.sources&&a.sources[r.source],p=f&&Lt(f.type);f?\"vector\"===p&&\"raster\"===s?e.push(new St(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new St(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new St(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&f.lineMetrics||e.push(new St(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new St(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new St(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new St(n,r,'missing required property \"source\"'));return e=e.concat(Zr({key:n,value:r,valueSpec:i.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return bn({key:n+\".type\",value:r.type,valueSpec:i.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:un,layout:function(t){return Zr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return pn(Ct({layerType:s},t))}}})},paint:function(t){return Zr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return fn(Ct({layerType:s},t))}}})}}}))}function gn(t){var e=t.value,r=t.key,n=zr(e);return\"string\"!==n?[new St(r,e,\"string expected, \"+n+\" found\")]:[]}var mn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===zr(r))return gn({key:e,value:r});var n=[];for(var a in r)n.push.apply(n,gn({key:e+\".\"+a,value:r[a]}));return n}};function vn(t){var e=t.value,r=t.key,n=t.styleSpec,a=t.style;if(!e.type)return[new St(r,e,'\"type\" is required')];var i,o=Lt(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return Zr({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:mn});case\"geojson\":if(i=Zr({key:r,value:e,valueSpec:n.source_geojson,style:a,styleSpec:n,objectElementValidators:mn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=\"string\"==typeof c?[c,[\"accumulated\"],[\"get\",s]]:c;i.push.apply(i,Qr({key:r+\".\"+s+\".map\",value:l[1],expressionContext:\"cluster-map\"})),i.push.apply(i,Qr({key:r+\".\"+s+\".reduce\",value:u,expressionContext:\"cluster-reduce\"}))}return i;case\"video\":return Zr({key:r,value:e,valueSpec:n.source_video,style:a,styleSpec:n});case\"image\":return Zr({key:r,value:e,valueSpec:n.source_image,style:a,styleSpec:n});case\"canvas\":return[new St(r,null,\"Please use runtime APIs to add canvas 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0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},aa.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var ia=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Or(t))return new Wr(t,e);if(Vr(t)){var r=Yr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=Kt.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};ia.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},ia.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var oa=function(t){this.property=t,this.value=new ia(t,void 0)};oa.prototype.transitioned=function(t,e){return new la(this.property,this.value,e,u({},t.transition,this.transition),t.now)},oa.prototype.untransitioned=function(){return new la(this.property,this.value,null,{},0)};var sa=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};sa.prototype.getValue=function(t){return x(this._values[t].value.value)},sa.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oa(this._values[t].property)),this._values[t].value=new ia(this._values[t].property,null===e?void 0:x(e))},sa.prototype.getTransition=function(t){return x(this._values[t].transition)},sa.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oa(this._values[t].property)),this._values[t].transition=x(e)||void 0},sa.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],a=this.getValue(n);void 0!==a&&(t[n]=a);var i=this.getTransition(n);void 0!==i&&(t[n+\"-transition\"]=i)}return t},sa.prototype.transitioned=function(t,e){for(var r=new ca(this._properties),n=0,a=Object.keys(this._values);n<a.length;n+=1){var i=a[n];r._values[i]=this._values[i].transitioned(t,e._values[i])}return r},sa.prototype.untransitioned=function(){for(var t=new ca(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var la=function(t,e,r,n,a){this.property=t,this.value=e,this.begin=a+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};la.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,a=this.value.possiblyEvaluate(t,e,r),i=this.prior;if(i){if(n>this.end)return this.prior=null,a;if(this.value.isDataDriven())return this.prior=null,a;if(n<this.begin)return i.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(i.possiblyEvaluate(t,e,r),a,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 a};var ca=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};ca.prototype.possiblyEvaluate=function(t,e,r){for(var n=new fa(this._properties),a=0,i=Object.keys(this._values);a<i.length;a+=1){var o=i[a];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},ca.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1)if(this._values[e[t]].prior)return!0;return!1};var ua=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ua.prototype.getValue=function(t){return x(this._values[t].value)},ua.prototype.setValue=function(t,e){this._values[t]=new ia(this._values[t].property,null===e?void 0:x(e))},ua.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],a=this.getValue(n);void 0!==a&&(t[n]=a)}return t},ua.prototype.possiblyEvaluate=function(t,e,r){for(var n=new fa(this._properties),a=0,i=Object.keys(this._values);a<i.length;a+=1){var o=i[a];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var ha=function(t,e,r){this.property=t,this.value=e,this.parameters=r};ha.prototype.isConstant=function(){return\"constant\"===this.value.kind},ha.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},ha.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var fa=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};fa.prototype.get=function(t){return this._values[t]};var pa=function(t){this.specification=t};pa.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},pa.prototype.interpolate=function(t,e,r){var n=Ve[this.specification.type];return n?n(t,e,r):t};var da=function(t,e){this.specification=t,this.overrides=e};da.prototype.possiblyEvaluate=function(t,e,r,n){return new ha(this,\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)}:t.expression,e)},da.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 ha(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ve[this.specification.type];return n?new ha(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},da.prototype.evaluate=function(t,e,r,n,a,i){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,a,i)};var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new ha(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var a=t.expression.evaluate(e,null,{},r,n),i=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof a?a.name:a,o=this._calculate(i,i,i,e);return new ha(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 ha(this,{kind:\"constant\",value:s},e)}return new ha(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,a,i){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,a,i);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}(da),ma=function(t){this.specification=t};ma.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var a=t.expression.evaluate(e,null,{},r,n);return this._calculate(a,a,a,e)}return this._calculate(t.expression.evaluate(new aa(Math.floor(e.zoom-1),e)),t.expression.evaluate(new aa(Math.floor(e.zoom),e)),t.expression.evaluate(new aa(Math.floor(e.zoom+1),e)),e)}},ma.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},ma.prototype.interpolate=function(t){return t};var va=function(t){this.specification=t};va.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},va.prototype.interpolate=function(){return!1};var ya=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 ia(r,void 0),a=this.defaultTransitionablePropertyValues[e]=new oa(r);this.defaultTransitioningPropertyValues[e]=a.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Dn(\"DataDrivenProperty\",da),Dn(\"DataConstantProperty\",pa),Dn(\"CrossFadedDataDrivenProperty\",ga),Dn(\"CrossFadedProperty\",ma),Dn(\"ColorRampProperty\",va);var xa=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=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 ua(r.layout)),r.paint)){for(var n in this._transitionablePaint=new sa(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var a in e.layout)this.setLayoutProperty(a,e.layout[a],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new fa(r.paint)}}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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){void 0===r&&(r={}),null!=e&&this._validate(En,\"layers.\"+this.id+\".layout.\"+t,t,e,r)||(\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e)},e.prototype.getPaintProperty=function(t){return m(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e&&this._validate(Sn,\"layers.\"+this.id+\".paint.\"+t,t,e,r))return!1;if(m(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var n=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===n.property.specification[\"property-type\"],i=n.value.isDataDriven(),o=n.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var s=this._transitionablePaint._values[t].value;return s.isDataDriven()||i||a||this._handleOverridablePaintPropertyUpdate(t,o,s)},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),y(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,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&Cn(this,t.call(Mn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:At,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 ha&&Lr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Mt),ba={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},_a=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},wa=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var a=ba[t.type].BYTES_PER_ELEMENT,i=r=ka(r,Math.max(e,a)),o=t.components||1;return n=Math.max(n,a),r+=a*o,{name:t.name,type:t.type,components:o,offset:i}})),size:ka(r,Math.max(n,e)),alignment:e}}function ka(t,e){return Math.ceil(t/e)*e}wa.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},wa.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},wa.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},wa.prototype.clear=function(){this.length=0},wa.prototype.resize=function(t){this.reserve(t),this.length=t},wa.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)}},wa.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var Ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(wa);Ma.prototype.bytesPerElement=4,Dn(\"StructArrayLayout2i4\",Ma);var Aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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 a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=4*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,this.int16[i+3]=a,t},e}(wa);Aa.prototype.bytesPerElement=8,Dn(\"StructArrayLayout4i8\",Aa);var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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,a,i){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,a,i)},e.prototype.emplace=function(t,e,r,n,a,i,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]=a,this.int16[s+4]=i,this.int16[s+5]=o,t},e}(wa);Sa.prototype.bytesPerElement=12,Dn(\"StructArrayLayout2i4i12\",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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,a,i){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,a,i)},e.prototype.emplace=function(t,e,r,n,a,i,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]=a,this.uint8[l+6]=i,this.uint8[l+7]=o,t},e}(wa);Ea.prototype.bytesPerElement=8,Dn(\"StructArrayLayout2i4ub8\",Ea);var Ca=function(t){function e(){t.apply(this,arguments)}return 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Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u,h){var f=this.length;return this.resize(f+1),this.emplace(f,t,e,r,n,a,i,o,s,l,c,u,h)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=a,this.uint16[p+4]=i,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=h,this.int16[p+11]=f,t},e}(wa);La.prototype.bytesPerElement=24,Dn(\"StructArrayLayout4i4ui4i24\",La);var Pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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 a=3*t;return 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this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=a,this.uint32[x+2]=i,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=h,this.float32[x+8]=f,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(wa);Ba.prototype.bytesPerElement=48,Dn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Ba);var Na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E){var C=34*t,L=17*t;return this.int16[C+0]=e,this.int16[C+1]=r,this.int16[C+2]=n,this.int16[C+3]=a,this.int16[C+4]=i,this.int16[C+5]=o,this.int16[C+6]=s,this.int16[C+7]=l,this.uint16[C+8]=c,this.uint16[C+9]=u,this.uint16[C+10]=h,this.uint16[C+11]=f,this.uint16[C+12]=p,this.uint16[C+13]=d,this.uint16[C+14]=g,this.uint16[C+15]=m,this.uint16[C+16]=v,this.uint16[C+17]=y,this.uint16[C+18]=x,this.uint16[C+19]=b,this.uint16[C+20]=_,this.uint16[C+21]=w,this.uint16[C+22]=T,this.uint32[L+12]=k,this.float32[L+13]=M,this.float32[L+14]=A,this.float32[L+15]=S,this.float32[L+16]=E,t},e}(wa);Na.prototype.bytesPerElement=68,Dn(\"StructArrayLayout8i15ui1ul4f68\",Na);var ja=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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){return this.float32[1*t+0]=e,t},e}(wa);ja.prototype.bytesPerElement=4,Dn(\"StructArrayLayout1f4\",ja);var Ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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 a=3*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,t},e}(wa);Ua.prototype.bytesPerElement=6,Dn(\"StructArrayLayout3i6\",Ua);var Va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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 a=4*t;return this.uint32[2*t+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(wa);Va.prototype.bytesPerElement=8,Dn(\"StructArrayLayout1ul2ui8\",Va);var qa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(wa);qa.prototype.bytesPerElement=4,Dn(\"StructArrayLayout2ui4\",qa);var Ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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){return this.uint16[1*t+0]=e,t},e}(wa);Ha.prototype.bytesPerElement=2,Dn(\"StructArrayLayout1ui2\",Ha);var Ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(wa);Ga.prototype.bytesPerElement=8,Dn(\"StructArrayLayout2f8\",Ga);var Ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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 a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=4*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,this.float32[i+3]=a,t},e}(wa);Ya.prototype.bytesPerElement=16,Dn(\"StructArrayLayout4f16\",Ya);var Wa=function(t){function 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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}(_a);Wa.prototype.size=20;var Za=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new Wa(this,t)},e}(za);Dn(\"CollisionBoxArray\",Za);var Xa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var 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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}(_a);Xa.prototype.size=48;var Ja=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new Xa(this,t)},e}(Ba);Dn(\"PlacedSymbolArray\",Ja);var Ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(_a);Ka.prototype.size=68;var Qa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new Ka(this,t)},e}(Na);Dn(\"SymbolInstanceArray\",Qa);var $a=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getoffsetX=function(t){return 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e.ids=t.ids,e.positions=t.positions,e.indexed=!0,e};var fi=Math.pow(2,53)-1;function pi(t){var e=+t;return!isNaN(e)&&e<=fi?e:ci(String(t))}function di(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}Dn(\"FeaturePositionMap\",hi);var gi=function(t,e){this.gl=t.gl,this.location=e},mi=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(gi),vi=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(gi),yi=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0]}return 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Mi=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return\"u_\"+t})),this.type=r};Mi.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},Mi.prototype.getBinding=function(t,e,r){return\"color\"===this.type?new _i(t,e):new vi(t,e)};var Ai=function(t,e){this.uniformNames=e.map((function(t){return\"u_\"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};Ai.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},Ai.prototype.setUniform=function(t,e,r,n){var a=\"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;a&&t.set(a)},Ai.prototype.getBinding=function(t,e,r){return\"u_pattern\"===r.substr(0,9)?new bi(t,e):new vi(t,e)};var Si=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};Si.prototype.populatePaintArray=function(t,e,r,n,a){var i=this.paintVertexArray.length,o=this.expression.evaluate(new aa(0),e,{},n,[],a);this.paintVertexArray.resize(t),this._setPaintValue(i,t,o)},Si.prototype.updatePaintArray=function(t,e,r,n){var a=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,a)},Si.prototype._setPaintValue=function(t,e,r){if(\"color\"===this.type)for(var n=ki(r),a=t;a<e;a++)this.paintVertexArray.emplace(a,n[0],n[1]);else{for(var i=t;i<e;i++)this.paintVertexArray.emplace(i,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},Si.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))},Si.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var Ei=function(t,e,r,n,a,i){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=a,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 i};Ei.prototype.populatePaintArray=function(t,e,r,n,a){var i=this.expression.evaluate(new aa(this.zoom),e,{},n,[],a),o=this.expression.evaluate(new aa(this.zoom+1),e,{},n,[],a),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,i,o)},Ei.prototype.updatePaintArray=function(t,e,r,n){var a=this.expression.evaluate({zoom:this.zoom},r,n),i=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,a,i)},Ei.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var a=ki(r),i=ki(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,a[0],a[1],i[0],i[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))}},Ei.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))},Ei.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},Ei.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=l(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},Ei.prototype.getBinding=function(t,e,r){return new vi(t,e)};var Ci=function(t,e,r,n,a,i){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=i,this.zoomInPaintVertexArray=new a,this.zoomOutPaintVertexArray=new a};Ci.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)},Ci.prototype.updatePaintArray=function(t,e,r,n,a){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],a)},Ci.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var a=n[r.min],i=n[r.mid],o=n[r.max];if(a&&i&&o)for(var s=t;s<e;s++)this.zoomInPaintVertexArray.emplace(s,i.tl[0],i.tl[1],i.br[0],i.br[1],a.tl[0],a.tl[1],a.br[0],a.br[1],i.pixelRatio,a.pixelRatio),this.zoomOutPaintVertexArray.emplace(s,i.tl[0],i.tl[1],i.br[0],i.br[1],o.tl[0],o.tl[1],o.br[0],o.br[1],i.pixelRatio,o.pixelRatio)}},Ci.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,oi.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,oi.members,this.expression.isStateDependent))},Ci.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var Li=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var a=[];for(var i in t.paint._values)if(r(i)){var o=t.paint.get(i);if(o instanceof ha&&Lr(o.property.specification)){var s=Ii(i,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,h=o.property.specification[\"property-type\"],f=\"cross-faded\"===h||\"cross-faded-data-driven\"===h;if(\"constant\"===l.kind)this.binders[i]=f?new Ai(l.value,s):new Mi(l.value,s,c),a.push(\"/u_\"+i);else if(\"source\"===l.kind||f){var p=zi(i,c,\"source\");this.binders[i]=f?new Ci(l,c,u,e,p,t.id):new Si(l,s,c,p),a.push(\"/a_\"+i)}else{var d=zi(i,c,\"composite\");this.binders[i]=new Ei(l,s,c,u,e,d),a.push(\"/z_\"+i)}}}this.cacheKey=a.sort().join(\"\")};Li.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Si||e instanceof Ei?e.maxValue:0},Li.prototype.populatePaintArrays=function(t,e,r,n,a){for(var i in this.binders){var o=this.binders[i];(o instanceof Si||o instanceof Ei||o instanceof Ci)&&o.populatePaintArray(t,e,r,n,a)}},Li.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof Ai&&n.setConstantPatternPositions(t,e)}},Li.prototype.updatePaintArrays=function(t,e,r,n,a){var i=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var h in this.binders){var f=this.binders[h];if((f instanceof Si||f instanceof Ei||f instanceof Ci)&&!0===f.expression.isStateDependent){var p=n.paint.get(h);f.expression=p.value,f.updatePaintArray(c.start,c.end,u,t[o],a),i=!0}}}return i},Li.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof Mi||r instanceof Ai)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},Li.prototype.getPaintVertexBuffers=function(){return this._buffers},Li.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var a=this.binders[n];if(a instanceof Mi||a instanceof Ai||a instanceof Ei)for(var i=0,o=a.uniformNames;i<o.length;i+=1){var s=o[i];if(e[s]){var l=a.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},Li.prototype.setUniforms=function(t,e,r,n){for(var a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.name,l=o.property;this.binders[l].setUniform(o.binding,n,r.get(l),s)}},Li.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Ci){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Si||r instanceof Ei)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},Li.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Si||r instanceof Ei||r instanceof Ci)&&r.upload(t)}this.updatePaintBuffers()},Li.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Si||e instanceof Ei||e instanceof Ci)&&e.destroy()}};var Pi=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var a=0,i=e;a<i.length;a+=1){var o=i[a];this.programConfigurations[o.id]=new Li(o,r,n,t)}this.needsUpload=!1,this._featureMap=new hi,this._bufferOffset=0};function Ii(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 zi(t,e,r){var n={color:{source:Ga,composite:Ya},number:{source:ja,composite:Ga}},a=function(t){return{\"line-pattern\":{source:Ca,composite:Ca},\"fill-pattern\":{source:Ca,composite:Ca},\"fill-extrusion-pattern\":{source:Ca,composite:Ca}}[t]}(t);return a&&a[r]||n[e][r]}Pi.prototype.populatePaintArrays=function(t,e,r,n,a,i){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,a,i);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},Pi.prototype.updatePaintArrays=function(t,e,r,n){for(var a=0,i=r;a<i.length;a+=1){var o=i[a];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},Pi.prototype.get=function(t){return this.programConfigurations[t]},Pi.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Pi.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},Dn(\"ConstantBinder\",Mi),Dn(\"CrossFadedConstantBinder\",Ai),Dn(\"SourceExpressionBinder\",Si),Dn(\"CrossFadedCompositeBinder\",Ci),Dn(\"CompositeExpressionBinder\",Ei),Dn(\"ProgramConfiguration\",Li,{omit:[\"_buffers\"]}),Dn(\"ProgramConfigurationSet\",Pi);var Oi={min:-1*Math.pow(2,14),max:Math.pow(2,14)-1};function Di(t){for(var e=8192/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var a=r[n],i=0;i<a.length;i++){var o=a[i];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<Oi.min||o.x>Oi.max||o.y<Oi.min||o.y>Oi.max)&&(_(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\"),o.x=l(o.x,Oi.min,Oi.max),o.y=l(o.y,Oi.min,Oi.max))}return r}function Ri(t,e,r,n,a){t.emplaceBack(2*e+(n+1)/2,2*r+(a+1)/2)}var Fi=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 Ma,this.indexArray=new Fa,this.segments=new ai,this.programConfigurations=new Pi(ni,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function Bi(t,e){for(var r=0;r<t.length;r++)if(Wi(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(Wi(t,e[n]))return!0;return!!Vi(t,e)}function Ni(t,e,r){return!!Wi(t,e)||!!Hi(e,t,r)}function ji(t,e){if(1===t.length)return Yi(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],a=0;a<n.length;a++)if(Wi(t,n[a]))return!0;for(var i=0;i<t.length;i++)if(Yi(e,t[i]))return!0;for(var o=0;o<e.length;o++)if(Vi(t,e[o]))return!0;return!1}function Ui(t,e,r){if(t.length>1){if(Vi(t,e))return!0;for(var n=0;n<e.length;n++)if(Hi(e[n],t,r))return!0}for(var a=0;a<t.length;a++)if(Hi(t[a],e,r))return!0;return!1}function Vi(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],a=t[r+1],i=0;i<e.length-1;i++)if(qi(n,a,e[i],e[i+1]))return!0;return!1}function qi(t,e,r,n){return w(t,r,n)!==w(e,r,n)&&w(t,e,r)!==w(t,e,n)}function Hi(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var a=1;a<e.length;a++)if(Gi(t,e[a-1],e[a])<n)return!0;return!1}function Gi(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var a=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return t.distSqr(a<0?e:a>1?r:r.sub(e)._mult(a)._add(e))}function Yi(t,e){for(var r,n,a,i=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)(n=r[s]).y>e.y!=(a=r[l]).y>e.y&&e.x<(a.x-n.x)*(e.y-n.y)/(a.y-n.y)+n.x&&(i=!i);return i}function Wi(t,e){for(var r=!1,n=0,a=t.length-1;n<t.length;a=n++){var i=t[n],o=t[a];i.y>e.y!=o.y>e.y&&e.x<(o.x-i.x)*(e.y-i.y)/(o.y-i.y)+i.x&&(r=!r)}return r}function Zi(t,e,r){var n=r[0],a=r[2];if(t.x<n.x&&e.x<n.x||t.x>a.x&&e.x>a.x||t.y<n.y&&e.y<n.y||t.y>a.y&&e.y>a.y)return!1;var i=w(t,e,r[0]);return i!==w(t,e,r[1])||i!==w(t,e,r[2])||i!==w(t,e,r[3])}function Xi(t,e,r){var n=e.paint.get(t).value;return\"constant\"===n.kind?n.value:r.programConfigurations.get(e.id).getMaxValue(t)}function Ji(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function Ki(t,e,r,n,i){if(!e[0]&&!e[1])return t;var o=a.convert(e)._mult(i);\"viewport\"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++)s.push(t[l].sub(o));return s}Fi.prototype.populate=function(t,e,r){var n=this.layers[0],a=[],i=null;\"circle\"===n.type&&(i=n.layout.get(\"circle-sort-key\"));for(var o=0,s=t;o<s.length;o+=1){var l=s[o],c=l.feature,u=l.id,h=l.index,f=l.sourceLayerIndex,p=this.layers[0]._featureFilter.needGeometry,d={type:c.type,id:u,properties:c.properties,geometry:p?Di(c):[]};if(this.layers[0]._featureFilter.filter(new aa(this.zoom),d,r)){p||(d.geometry=Di(c));var g=i?i.evaluate(d,{},r):void 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0===this.layoutVertexArray.length},Fi.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Fi.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ni),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Fi.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Fi.prototype.addFeature=function(t,e,r,n){for(var a=0,i=e;a<i.length;a+=1)for(var o=0,s=i[a];o<s.length;o+=1){var l=s[o],c=l.x,u=l.y;if(!(c<0||c>=8192||u<0||u>=8192)){var 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i=co({},{width:n,height:a},r);ho(t,i,{x:0,y:0},{x:0,y:0},{width:Math.min(t.width,n),height:Math.min(t.height,a)},r),t.width=n,t.height=a,t.data=i.data}}function ho(t,e,r,n,a,i){if(0===a.width||0===a.height)return e;if(a.width>t.width||a.height>t.height||r.x>t.width-a.width||r.y>t.height-a.height)throw new RangeError(\"out of range source coordinates for image copy\");if(a.width>e.width||a.height>e.height||n.x>e.width-a.width||n.y>e.height-a.height)throw new RangeError(\"out of range destination coordinates for image copy\");for(var o=t.data,s=e.data,l=0;l<a.height;l++)for(var c=((r.y+l)*t.width+r.x)*i,u=((n.y+l)*e.width+n.x)*i,h=0;h<a.width*i;h++)s[u+h]=o[c+h];return e}Dn(\"HeatmapBucket\",lo,{omit:[\"layers\"]});var fo=function(t,e){co(this,t,1,e)};fo.prototype.resize=function(t){uo(this,t,1)},fo.prototype.clone=function(){return new fo({width:this.width,height:this.height},new Uint8Array(this.data))},fo.copy=function(t,e,r,n,a){ho(t,e,r,n,a,1)};var 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po({width:256,height:1},r)}var vo=function(t){function e(e){t.call(this,e,go),this._updateColorRamp()}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.createBucket=function(t){return new lo(t)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"heatmap-color\"===t&&this._updateColorRamp()},e.prototype._updateColorRamp=function(){this.colorRamp=mo(this._transitionablePaint._values[\"heatmap-color\"].value.expression,\"heatmapDensity\"),this.colorRampTexture=null},e.prototype.resize=function(){this.heatmapFbo&&(this.heatmapFbo.destroy(),this.heatmapFbo=null)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype.hasOffscreenPass=function(){return 0!==this.paint.get(\"heatmap-opacity\")&&\"none\"!==this.visibility},e}(xa),yo={paint:new ya({\"hillshade-illumination-direction\":new 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2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,a=[],i=0;i<e;i++){var o=us(t[i]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&a.push(r),r=[t[i]]):r.push(t[i]))}return r&&a.push(r),a}(l),n=0;n<l.length;n++)for(a=0;a<l[n].length;a++)u(l[n][a])}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var hs=fs;function fs(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(ps,this,e),this.length=this._features.length}function ps(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 ds(t,e,r){if(3===t){var n=new hs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}fs.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 ss(this._pbf,e,this.extent,this._keys,this._values)};var gs={VectorTile:function(t,e){this.layers=t.readFields(ds,{},e)},VectorTileFeature:ss,VectorTileLayer:hs},ms=gs.VectorTileFeature.types,vs=Math.pow(2,13);function ys(t,e,r,n,a,i,o,s){t.emplaceBack(e,r,2*Math.floor(n*vs)+o,a*vs*2,i*vs*2,Math.round(s))}var xs=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 Sa,this.indexArray=new Fa,this.programConfigurations=new Pi(os,t.layers,t.zoom),this.segments=new ai,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function bs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}xs.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ts(\"fill-extrusion\",this.layers,e);for(var n=0,a=t;n<a.length;n+=1){var i=a[n],o=i.feature,s=i.id,l=i.index,c=i.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,h={type:o.type,id:s,properties:o.properties,geometry:u?Di(o):[]};if(this.layers[0]._featureFilter.filter(new aa(this.zoom),h,r)){var f={id:s,sourceLayerIndex:c,index:l,geometry:u?h.geometry:Di(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(f.id=o.id),this.hasPattern?this.features.push(es(\"fill-extrusion\",this.layers,f,this.zoom,e)):this.addFeature(f,f.geometry,l,r,{}),e.featureIndex.insert(o,f.geometry,l,c,this.index,!0)}}},xs.prototype.addFeatures=function(t,e,r){for(var n=0,a=this.features;n<a.length;n+=1){var i=a[n];this.addFeature(i,i.geometry,i.index,e,r)}},xs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},xs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},xs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},xs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,os),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},xs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},xs.prototype.addFeature=function(t,e,r,n,a){for(var i=0,o=Qo(e,500);i<o.length;i+=1){for(var s=o[i],l=0,c=0,u=s;c<u.length;c+=1)l+=u[c].length;for(var h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),f=0,p=s;f<p.length;f+=1){var d=p[f];if(0!==d.length&&!((I=d).every((function(t){return t.x<0}))||I.every((function(t){return t.x>8192}))||I.every((function(t){return t.y<0}))||I.every((function(t){return t.y>8192}))))for(var g=0,m=0;m<d.length;m++){var v=d[m];if(m>=1){var y=d[m-1];if(!bs(v,y)){h.vertexLength+4>ai.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);g+b>32768&&(g=0),ys(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,g),ys(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,g),ys(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,g+=b),ys(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,g);var _=h.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),h.vertexLength+=4,h.primitiveLength+=2}}}}if(h.vertexLength+l>ai.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===ms[t.type]){for(var w=[],T=[],k=h.vertexLength,M=0,A=s;M<A.length;M+=1){var S=A[M];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var C=S[E];ys(this.layoutVertexArray,C.x,C.y,0,0,1,1,0),w.push(C.x),w.push(C.y)}}}for(var L=_o(w,T),P=0;P<L.length;P+=3)this.indexArray.emplaceBack(k+L[P],k+L[P+2],k+L[P+1]);h.primitiveLength+=L.length/3,h.vertexLength+=l}}var I;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,a,n)},Dn(\"FillExtrusionBucket\",xs,{omit:[\"layers\",\"features\"]});var _s={paint:new ya({\"fill-extrusion-opacity\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new da(At[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ga(At[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new da(At[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new da(At[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},ws=function(t){function e(e){t.call(this,e,_s)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.createBucket=function(t){return new xs(t)},e.prototype.queryRadius=function(){return Ji(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 c=Ki(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,0,1];io(c,c,e),i.push(new a(c[0]/c[3],c[1]/c[3]))}return i}(c,l),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,m=t;g<m.length;g+=1){for(var v=[],y=[],x=0,b=m[g];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],M=n[1]*w+n[5]*T+n[13],A=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=A+c,C=S+u,L=k+h,P=M+f,I=A+p,z=S+d,O=new a((k+s)/C,(M+l)/C);O.z=E/C,v.push(O);var D=new a(L/z,P/z);D.z=I/z,y.push(D)}i.push(v),o.push(y)}return[i,o]}(n,h,u,l);return function(t,e,r){var n=1/0;ji(r,e)&&(n=ks(r,e[0]));for(var a=0;a<e.length;a++)for(var i=e[a],o=t[a],s=0;s<i.length-1;s++){var l=i[s],c=[l,i[s+1],o[s+1],o[s],l];Bi(r,c)&&(n=Math.min(n,ks(r,c)))}return n!==1/0&&n}(p[0],p[1],f)},e}(xa);function Ts(t,e){return t.x*e.x+t.y*e.y}function ks(t,e){if(1===t.length){for(var r,n=0,a=e[n++];!r||a.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var i=e[n],o=t[0],s=r.sub(a),l=i.sub(a),c=o.sub(a),u=Ts(s,s),h=Ts(s,l),f=Ts(l,l),p=Ts(c,s),d=Ts(c,l),g=u*f-h*h,m=(f*p-h*d)/g,v=(u*d-h*p)/g,y=a.z*(1-m-v)+r.z*m+i.z*v;if(isFinite(y))return y}return 1/0}for(var x=1/0,b=0,_=e;b<_.length;b+=1)x=Math.min(x,_[b].z);return x}var Ms=Ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,As=gs.VectorTileFeature.types,Ss=Math.cos(Math.PI/180*37.5),Es=Math.pow(2,14)/.5,Cs=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 Ea,this.indexArray=new Fa,this.programConfigurations=new Pi(Ms,t.layers,t.zoom),this.segments=new ai,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};Cs.prototype.populate=function(t,e,r){this.hasPattern=ts(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),a=[],i=0,o=t;i<o.length;i+=1){var s=o[i],l=s.feature,c=s.id,u=s.index,h=s.sourceLayerIndex,f=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:f?Di(l):[]};if(this.layers[0]._featureFilter.filter(new aa(this.zoom),p,r)){f||(p.geometry=Di(l));var d=n?n.evaluate(p,{},r):void 0;a.push({id:c,properties:l.properties,type:l.type,sourceLayerIndex:h,index:u,geometry:p.geometry,patterns:{},sortKey:d})}}n&&a.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,m=a;g<m.length;g+=1){var v=m[g],y=v.geometry,x=v.index,b=v.sourceLayerIndex;if(this.hasPattern){var _=es(\"line\",this.layers,v,this.zoom,e);this.patternFeatures.push(_)}else this.addFeature(v,y,x,r,{});e.featureIndex.insert(t[x].feature,y,x,b,this.index)}},Cs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Cs.prototype.addFeatures=function(t,e,r){for(var n=0,a=this.patternFeatures;n<a.length;n+=1){var i=a[n];this.addFeature(i,i.geometry,i.index,e,r)}},Cs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Cs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Cs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Ms),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Cs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Cs.prototype.addFeature=function(t,e,r,n,a){for(var i=this.layers[0].layout,o=i.get(\"line-join\").evaluate(t,{}),s=i.get(\"line-cap\"),l=i.get(\"line-miter-limit\"),c=i.get(\"line-round-limit\"),u=0,h=e;u<h.length;u+=1)this.addLine(h[u],t,o,s,l,c);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,a,n)},Cs.prototype.addLine=function(t,e,r,n,a,i){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\"===As[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(a=1.05);var u,h=this.overscaling<=16?122880/(512*this.overscaling):0,f=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,g=void 0,m=void 0;this.e1=this.e2=-1,s&&(m=t[c].sub(u=t[l-2])._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){m&&(g=m),u&&(p=u),u=t[v],m=d?d.sub(u)._unit()._perp():g;var y=(g=g||m).add(m);0===y.x&&0===y.y||y._unit();var x=g.x*m.x+g.y*m.y,b=y.x*m.x+y.y*m.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Ss&&p&&d,k=g.x*m.y-g.y*m.x>0;if(T&&v>c){var M=u.dist(p);if(M>2*h){var A=u.sub(u.sub(p)._mult(h/M)._round());this.updateDistance(p,A),this.addCurrentVertex(A,g,0,0,f),p=A}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<i?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>a&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<a&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,f);else if(\"flipbevel\"===E){if(_>100)y=m.mult(-1);else{var C=_*g.add(m).mag()/g.sub(m).mag();y._perp()._mult(C*(k?-1:1))}this.addCurrentVertex(u,y,0,0,f),this.addCurrentVertex(u,y.mult(-1),0,0,f)}else if(\"bevel\"===E||\"fakeround\"===E){var L=-Math.sqrt(_*_-1),P=k?L:0,I=k?0:L;if(p&&this.addCurrentVertex(u,g,P,I,f),\"fakeround\"===E)for(var z=Math.round(180*w/Math.PI/20),O=1;O<z;O++){var D=O/z;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=m.sub(g)._mult(D)._add(g)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,f)}d&&this.addCurrentVertex(u,m,-P,-I,f)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,f);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,f)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,g,0,0,f),this.addCurrentVertex(u,g,1,1,f,!0)),d&&(this.addCurrentVertex(u,m,-1,-1,f,!0),this.addCurrentVertex(u,m,0,0,f)));if(T&&v<l-1){var N=u.dist(d);if(N>2*h){var j=u.add(d.sub(u)._mult(h/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,m,0,0,f),u=j}}}}},Cs.prototype.addCurrentVertex=function(t,e,r,n,a,i){void 0===i&&(i=!1);var o=e.y*n-e.x,s=-e.y-e.x*n;this.addHalfVertex(t,e.x+e.y*r,e.y-e.x*r,i,!1,r,a),this.addHalfVertex(t,o,s,i,!0,-n,a),this.distance>Es/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,a,i))},Cs.prototype.addHalfVertex=function(t,e,r,n,a,i,o){var s=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((t.x<<1)+(n?1:0),(t.y<<1)+(a?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===i?0:i<0?-1:1)|(63&s)<<2,s>>6);var l=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,l),o.primitiveLength++),a?this.e2=l:this.e1=l},Cs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Es-1):this.distance},Cs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Dn(\"LineBucket\",Cs,{omit:[\"layers\",\"patternFeatures\"]});var Ls=new ya({\"line-cap\":new pa(At.layout_line[\"line-cap\"]),\"line-join\":new da(At.layout_line[\"line-join\"]),\"line-miter-limit\":new pa(At.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new pa(At.layout_line[\"line-round-limit\"]),\"line-sort-key\":new da(At.layout_line[\"line-sort-key\"])}),Ps={paint:new ya({\"line-opacity\":new da(At.paint_line[\"line-opacity\"]),\"line-color\":new da(At.paint_line[\"line-color\"]),\"line-translate\":new pa(At.paint_line[\"line-translate\"]),\"line-translate-anchor\":new pa(At.paint_line[\"line-translate-anchor\"]),\"line-width\":new da(At.paint_line[\"line-width\"]),\"line-gap-width\":new da(At.paint_line[\"line-gap-width\"]),\"line-offset\":new da(At.paint_line[\"line-offset\"]),\"line-blur\":new da(At.paint_line[\"line-blur\"]),\"line-dasharray\":new ma(At.paint_line[\"line-dasharray\"]),\"line-pattern\":new ga(At.paint_line[\"line-pattern\"]),\"line-gradient\":new va(At.paint_line[\"line-gradient\"])}),layout:Ls},Is=new(function(t){function 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Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),ol(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),ol(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),ol(this.buf,-1&t,this.pos),ol(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),ol(this.buf,-1&t,this.pos),ol(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,r.buf[r.pos]=127&(t>>>=7)}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,a,i=0;i<e.length;i++){if((n=e.charCodeAt(i))>55295&&n<57344){if(!a){n>56319||i+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):a=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,a=n;continue}n=a-55296<<10|n-56320|65536,a=null}else a&&(t[r++]=239,t[r++]=191,t[r++]=189,a=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Xs(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),qs(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),qs(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Xs(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Gs.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,Js,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ks,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,tl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Qs,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,$s,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,el,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,rl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,nl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,al,e)},writeBytesField:function(t,e){this.writeTag(t,Gs.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Gs.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Gs.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Gs.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var fl=function(t,e){var r=e.pixelRatio,n=e.version,a=e.stretchX,i=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=a,this.stretchY=i,this.content=o,this.version=n},pl={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};pl.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},pl.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},pl.tlbr.get=function(){return this.tl.concat(this.br)},pl.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(fl.prototype,pl);var dl=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var a=[];this.addImages(t,r,a),this.addImages(e,n,a);var i=hl(a),o=new po({width:i.w||1,height:i.h||1});for(var s in t){var l=t[s],c=r[s].paddedRect;po.copy(l.data,o,{x:0,y:0},{x:c.x+1,y:c.y+1},l.data)}for(var u in e){var h=e[u],f=n[u].paddedRect,p=f.x+1,d=f.y+1,g=h.data.width,m=h.data.height;po.copy(h.data,o,{x:0,y:0},{x:p,y:d},h.data),po.copy(h.data,o,{x:0,y:m-1},{x:p,y:d-1},{width:g,height:1}),po.copy(h.data,o,{x:0,y:0},{x:p,y:d+m},{width:g,height:1}),po.copy(h.data,o,{x:g-1,y:0},{x:p-1,y:d},{width:1,height:m}),po.copy(h.data,o,{x:0,y:0},{x:p+g,y:d},{width:1,height:m})}this.image=o,this.iconPositions=r,this.patternPositions=n};dl.prototype.addImages=function(t,e,r){for(var n in t){var a=t[n],i={x:0,y:0,w:a.data.width+2,h:a.data.height+2};r.push(i),e[n]=new fl(i,a),a.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},dl.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)},dl.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl;r.update(e.data,void 0,{x:n[0],y:n[1]})}},Dn(\"ImagePosition\",fl),Dn(\"ImageAtlas\",dl);var gl={horizontal:1,vertical:2,horizontalOnly:3},ml=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};ml.forText=function(t,e){var r=new ml;return r.scale=t||1,r.fontStack=e,r},ml.forImage=function(t){var e=new ml;return e.imageName=t,e};var vl=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function yl(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var m,v=vl.fromFeature(t,a);h===gl.vertical&&v.verticalizePunctuation();var y=na.processBidirectionalText,x=na.processStyledBidirectionalText;if(y&&1===v.sections.length){m=[];for(var b=0,_=y(v.toString(),Ml(v,c,i,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new vl;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);m.push(T)}}else if(x){m=[];for(var M=0,A=x(v.text,v.sectionIndex,Ml(v,c,i,e,n,p,d));M<A.length;M+=1){var S=A[M],E=new vl;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,m.push(E)}}else m=function(t,e){for(var r=[],n=t.text,a=0,i=0,o=e;i<o.length;i+=1){var s=o[i];r.push(t.substring(a,s)),a=s}return a<n.length&&r.push(t.substring(a,n.length)),r}(v,Ml(v,c,i,e,n,p,d));var C=[],L={positionedLines:C,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:h,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,a,i,o,s,l,c,u,h){for(var f=0,p=-17,d=0,g=0,m=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=a;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,M=0;if(b.length()){for(var A=0;A<b.length();A++){var S=b.getSection(A),E=b.getSectionIndex(A),C=b.getCharCode(A),L=0,P=null,I=null,z=null,O=24,D=!(l===gl.horizontal||!u&&!Hn(C)||u&&(xl[C]||(H=C,Vn.Arabic(H)||Vn[\"Arabic Supplement\"](H)||Vn[\"Arabic Extended-A\"](H)||Vn[\"Arabic Presentation Forms-A\"](H)||Vn[\"Arabic Presentation Forms-B\"](H))));if(S.imageName){var R=n[S.imageName];if(!R)continue;z=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/h,L=w+(24-F[1]*S.scale),O=(P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]}).advance;var B=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;B>0&&B>M&&(M=B)}else{var N=r[S.fontStack],j=N&&N[C];if(j&&j.rect)I=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[C];if(!V)continue;P=V.metrics}L=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),f+=O*S.scale+c):(k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),f+=P.advance*S.scale+c)}0!==k.length&&(d=Math.max(f-c,d),Sl(k,0,k.length-1,m,M)),f=0;var q=i*_+M;T.lineOffset=Math.max(M,w),p+=q,g=Math.max(q,g),++v}else p+=i,++v}var H,G=p- -17,Y=Al(o),W=Y.horizontalAlign,Z=Y.verticalAlign;(function(t,e,r,n,a,i,o,s,l){var c,u=(e-r)*a;c=i!==o?-s*n- -17:(-n*l+.5)*o;for(var h=0,f=t;h<f.length;h+=1)for(var p=0,d=f[h].positionedGlyphs;p<d.length;p+=1){var g=d[p];g.x+=u,g.y+=c}})(t.positionedLines,m,W,Z,d,g,i,G,a.length),t.top+=-Z*G,t.bottom=t.top+G,t.left+=-W*d,t.right=t.left+d}(L,e,r,n,m,o,s,l,h,c,f,g),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(C)&&L}vl.fromFeature=function(t,e){for(var r=new vl,n=0;n<t.sections.length;n++){var a=t.sections[n];a.image?r.addImageSection(a):r.addTextSection(a,e)}return r},vl.prototype.length=function(){return this.text.length},vl.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},vl.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},vl.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},vl.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,a=t.charCodeAt(r-1)||null;e+=n&&Gn(n)&&!Us[t[r+1]]||a&&Gn(a)&&!Us[t[r-1]]||!Us[t[r]]?t[r]:Us[t[r]]}return e}(this.text)},vl.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&xl[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&xl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},vl.prototype.substring=function(t,e){var r=new vl;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},vl.prototype.toString=function(){return this.text},vl.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},vl.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(ml.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},vl.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(ml.forImage(e)),this.sectionIndex.push(this.sections.length-1)):_(\"Reached maximum number of images 6401\")}else _(\"Can't add FormattedSection with an empty image.\")},vl.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var xl={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},bl={};function _l(t,e,r,n,a,i){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*24/i+a:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+a:0}function wl(t,e,r,n){var a=Math.pow(t-e,2);return n?t<e?a/2:2*a:a+Math.abs(r)*r}function Tl(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 kl(t,e,r,n,a,i){for(var o=null,s=wl(e,r,a,i),l=0,c=n;l<c.length;l+=1){var u=c[l],h=wl(e-u.x,r,a,i)+u.badness;h<=s&&(o=u,s=h)}return{index:t,x:e,priorBreak:o,badness:s}}function Ml(t,e,r,n,a,i,o){if(\"point\"!==i)return[];if(!t)return[];for(var s,l=[],c=function(t,e,r,n,a,i){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=_l(t.getCharCode(s),l,n,a,e,i)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,a,o),u=t.text.indexOf(\"\\u200b\")>=0,h=0,f=0;f<t.length();f++){var p=t.getSection(f),d=t.getCharCode(f);if(xl[d]||(h+=_l(d,p,n,a,e,o)),f<t.length()-1){var g=!((s=d)<11904||!(Vn[\"Bopomofo Extended\"](s)||Vn.Bopomofo(s)||Vn[\"CJK Compatibility Forms\"](s)||Vn[\"CJK Compatibility Ideographs\"](s)||Vn[\"CJK Compatibility\"](s)||Vn[\"CJK Radicals Supplement\"](s)||Vn[\"CJK Strokes\"](s)||Vn[\"CJK Symbols and Punctuation\"](s)||Vn[\"CJK Unified Ideographs Extension A\"](s)||Vn[\"CJK Unified 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o,s=t.image;if(s.content){var l=s.content,c=s.pixelRatio||1;o=[l[0]/c,l[1]/c,s.displaySize[0]-l[2]/c,s.displaySize[1]-l[3]/c]}var u,h,f,p,d=e.left*i,g=e.right*i;\"width\"===r||\"both\"===r?(p=a[0]+d-n[3],h=a[0]+g+n[1]):h=(p=a[0]+(d+g-s.displaySize[0])/2)+s.displaySize[0];var m=e.top*i,v=e.bottom*i;return\"height\"===r||\"both\"===r?(u=a[1]+m-n[0],f=a[1]+v+n[2]):f=(u=a[1]+(m+v-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:u,right:h,bottom:f,left:p,collisionPadding:o}}bl[10]=!0,bl[32]=!0,bl[38]=!0,bl[40]=!0,bl[41]=!0,bl[43]=!0,bl[45]=!0,bl[47]=!0,bl[173]=!0,bl[183]=!0,bl[8203]=!0,bl[8208]=!0,bl[8211]=!0,bl[8231]=!0;var Cl=function(t){function e(e,r,n,a){t.call(this,e,r),this.angle=n,void 0!==a&&(this.segment=a)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(a);function Ll(t,e){var 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Fa,this.programConfigurations=t,this.segments=new ai,this.dynamicLayoutVertexArray=new Pa,this.opacityVertexArray=new Ia,this.placedSymbolArray=new Ja};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Ds.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Rs.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,ic,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Dn(\"SymbolBuffers\",cc);var uc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new ai,this.collisionVertexArray=new Ra};uc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Fs.members,!0)},uc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Dn(\"CollisionBuffers\",uc);var hc=function(t){this.collisionBoxArray=t.collisionBoxArray,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.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=eo([]),this.placementViewportMatrix=eo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Ll(this.zoom,e[\"text-size\"]),this.iconSizeData=Ll(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),a=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==a&&void 0!==n.constantOr(1),this.sortFeaturesByY=(\"viewport-y\"===a||\"auto\"===a&&!this.sortFeaturesByKey)&&(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 gl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new Pi(Ds.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new Pi(Ds.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new $a,this.lineVertexArray=new ti,this.symbolInstances=new Qa},hc.prototype.calculateGlyphDependencies=function(t,e,r,n,a){for(var i=0;i<t.length;i++)if(e[t.charCodeAt(i)]=!0,(r||n)&&a){var o=Us[t.charAt(i)];o&&(e[o.charCodeAt(0)]=!0)}},hc.prototype.populate=function(t,e,r){var n=this.layers[0],a=n.layout,i=a.get(\"text-font\"),o=a.get(\"text-field\"),s=a.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof te&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==i.value.kind||i.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=a.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var h=e.iconDependencies,f=e.glyphDependencies,p=e.availableImages,d=new aa(this.zoom),g=0,m=t;g<m.length;g+=1){var v=m[g],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Di(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Di(y));var k=void 0;if(l){var M=n.getValueAndResolveTokens(\"text-field\",T,r,p),A=te.factory(M);lc(A)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ea()||this.hasRTLText&&na.isParsed())&&(k=js(A,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ee?E:ee.fromString(E)}if(k||S){var C=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,L={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Di(y),properties:y.properties,type:ac[y.type],sortKey:C};if(this.features.push(L),S&&(h[S.name]=!0),k){var P=i.evaluate(T,{},r).join(\",\"),I=\"map\"===a.get(\"text-rotation-alignment\")&&\"point\"!==a.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(gl.vertical)>=0;for(var z=0,O=k.sections;z<O.length;z+=1){var D=O[z];if(D.image)h[D.image.name]=!0;else{var R=qn(k.toString()),F=D.fontStack||P,B=f[F]=f[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===a.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],a=0;function i(e){n.push(t[e]),a++}function o(t,e,a){var i=r[t];return delete r[t],r[e]=i,n[i].geometry[0].pop(),n[i].geometry[0]=n[i].geometry[0].concat(a[0]),i}function s(t,r,a){var i=e[r];return delete e[r],e[t]=i,n[i].geometry[0].shift(),n[i].geometry[0]=a[0].concat(n[i].geometry[0]),i}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 c=0;c<t.length;c++){var u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(f){var p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,h),m=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(f,n[m].geometry,!0)]=m,n[g].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(i(c),e[p]=a-1,r[d]=a-1)}else i(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.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))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.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},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),a=t.dist(e[t.segment]),i={},o=t.segment+1;o<e.length;o++)i[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--)i[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:a},s>0&&(a+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=i[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,a,i,o,s,l,c,u,h){for(var f=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,f,i.sortKey),g=this.glyphOffsetArray.length,m=d.vertexLength,v=this.allowVerticalPlacement&&o===gl.vertical?Math.PI/2:0,y=i.text&&i.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,M=b.tex,A=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,C=b.minFontScaleY,L=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,z=d.vertexLength,O=L[1];oc(p,s.x,s.y,_.x,O+_.y,M.x,M.y,r,P,A.x,A.y,E,C),oc(p,s.x,s.y,w.x,O+w.y,M.x+M.w,M.y,r,P,S.x,A.y,E,C),oc(p,s.x,s.y,T.x,O+T.y,M.x,M.y+M.h,r,P,A.x,S.y,E,C),oc(p,s.x,s.y,k.x,O+k.y,M.x+M.w,M.y+M.h,r,P,S.x,S.y,E,C),sc(t.dynamicLayoutVertexArray,s,v),f.emplaceBack(z,z+1,z+2),f.emplaceBack(z+1,z+2,z+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(L[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,i,i.index,{},h,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,m,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},hc.prototype._addCollisionDebugVertex=function(t,e,r,n,a,i){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,a,Math.round(i.x),Math.round(i.y))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),c=l.vertexLength,u=i.layoutVertexArray,h=i.collisionVertexArray,f=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,h,o,f,p,new a(t,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,n)),this._addCollisionDebugVertex(u,h,o,f,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},hc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var a=t;a<e;a++){var i=this.collisionBoxArray.get(a);this.addCollisionDebugVertices(i.x1,i.y1,i.x2,i.y2,n?this.textCollisionBox:this.iconCollisionBox,i.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new uc(Oa,Bs.members,qa),this.iconCollisionBox=new uc(Oa,Bs.members,qa);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)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,a,i,o,s,l){for(var c={},u=e;u<r;u++){var h=t.get(u);c.textBox={x1:h.x1,y1:h.y1,x2:h.x2,y2:h.y2,anchorPointX:h.anchorPointX,anchorPointY:h.anchorPointY},c.textFeatureIndex=h.featureIndex;break}for(var f=n;f<a;f++){var p=t.get(f);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=i;d<o;d++){var g=t.get(d);c.iconBox={x1:g.x1,y1:g.y1,x2:g.x2,y2:g.y2,anchorPointX:g.anchorPointX,anchorPointY:g.anchorPointY},c.iconFeatureIndex=g.featureIndex;break}for(var m=s;m<l;m++){var v=t.get(m);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},hc.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))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,a=r.vertexStartIndex;a<n;a+=4)t.indexArray.emplaceBack(a,a+1,a+2),t.indexArray.emplaceBack(a+1,a+2,a+3)},hc.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=[],a=[],i=[],o=0;o<this.symbolInstances.length;++o){i.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),a.push(s.featureIndex)}return i.sort((function(t,e){return n[t]-n[e]||a[e]-a[t]})),i},hc.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})},hc.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 a=this.symbolInstances.get(n[r]);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)}},Dn(\"SymbolBucket\",hc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=sc;var fc=new ya({\"symbol-placement\":new pa(At.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new pa(At.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new pa(At.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new da(At.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new pa(At.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new pa(At.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new pa(At.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new pa(At.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new pa(At.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new da(At.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new pa(At.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new pa(At.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new da(At.layout_symbol[\"icon-image\"]),\"icon-rotate\":new da(At.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new pa(At.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new pa(At.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new da(At.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new da(At.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new pa(At.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new pa(At.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new pa(At.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new da(At.layout_symbol[\"text-field\"]),\"text-font\":new da(At.layout_symbol[\"text-font\"]),\"text-size\":new da(At.layout_symbol[\"text-size\"]),\"text-max-width\":new da(At.layout_symbol[\"text-max-width\"]),\"text-line-height\":new pa(At.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new da(At.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new da(At.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new da(At.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new pa(At.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new da(At.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new pa(At.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new pa(At.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new da(At.layout_symbol[\"text-rotate\"]),\"text-padding\":new pa(At.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new pa(At.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new da(At.layout_symbol[\"text-transform\"]),\"text-offset\":new da(At.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new pa(At.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new pa(At.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new pa(At.layout_symbol[\"text-optional\"])}),pc={paint:new ya({\"icon-opacity\":new da(At.paint_symbol[\"icon-opacity\"]),\"icon-color\":new da(At.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new da(At.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new da(At.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new da(At.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new pa(At.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new pa(At.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new da(At.paint_symbol[\"text-opacity\"]),\"text-color\":new da(At.paint_symbol[\"text-color\"],{runtimeType:Bt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new da(At.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new da(At.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new da(At.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new pa(At.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new pa(At.paint_symbol[\"text-translate-anchor\"])}),layout:fc},dc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ot,this.defaultValue=t};dc.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},dc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},dc.prototype.outputDefined=function(){return!1},dc.prototype.serialize=function(){return null},Dn(\"FormatSectionOverride\",dc,{omit:[\"defaultValue\"]});var gc=function(t){function e(e){t.call(this,e,pc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(this.layout._values[\"icon-rotation-alignment\"]=\"point\"!==this.layout.get(\"symbol-placement\")?\"map\":\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(this.layout._values[\"text-rotation-alignment\"]=\"point\"!==this.layout.get(\"symbol-placement\")?\"map\":\"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 a=[],i=0,o=n;i<o.length;i+=1){var s=o[i];a.indexOf(s)<0&&a.push(s)}this.layout._values[\"text-writing-mode\"]=a}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var a=this.layout.get(t).evaluate(e,{},r,n),i=this._unevaluatedLayout._values[t];return i.isDataDriven()||Vr(i.value)||!a?a:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,a)},e.prototype.createBucket=function(t){return new hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=pc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var a,i=this.paint.get(n),o=new dc(i),s=new Ur(o,i.property.specification);a=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Hr(\"source\",s):new Gr(\"composite\",s,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new ha(i.property,a,i.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=pc.paint.properties[e],a=!1,i=function(t){for(var e=0,r=t;e<r.length;e+=1)if(n.overrides&&n.overrides.hasOverride(r[e]))return void(a=!0)};if(\"constant\"===r.value.kind&&r.value.value instanceof te)i(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){a||(t instanceof oe&&ae(t.value)===Vt?i(t.value.sections):t instanceof ue?i(t.sections):t.eachChild(o))},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return a},e}(xa),mc={paint:new ya({\"background-color\":new pa(At.paint_background[\"background-color\"]),\"background-pattern\":new ma(At.paint_background[\"background-pattern\"]),\"background-opacity\":new pa(At.paint_background[\"background-opacity\"])})},vc=function(t){function e(e){t.call(this,e,mc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(xa),yc={paint:new ya({\"raster-opacity\":new pa(At.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new pa(At.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new pa(At.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new pa(At.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new pa(At.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new pa(At.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new pa(At.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new pa(At.paint_raster[\"raster-fade-duration\"])})},xc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(xa),bc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(xa),_c={circle:oo,heatmap:vo,hillshade:xo,fill:is,\"fill-extrusion\":ws,line:zs,symbol:gc,background:vc,raster:xc},wc=self.HTMLImageElement,Tc=self.HTMLCanvasElement,kc=self.HTMLVideoElement,Mc=self.ImageData,Ac=self.ImageBitmap,Sc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Sc.prototype.update=function(t,e,r){var n=t.width,a=t.height,i=!(this.size&&this.size[0]===n&&this.size[1]===a||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)),i)this.size=[n,a],t instanceof wc||t instanceof Tc||t instanceof kc||t instanceof Mc||Ac&&t instanceof Ac?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,a,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof wc||t instanceof Tc||t instanceof kc||t instanceof Mc||Ac&&t instanceof Ac?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,a,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Sc.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)},Sc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Sc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Ec=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()})};Ec.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))},Ec.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=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 Ec(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Lc(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]}Cc.prototype.send=function(t,e,r,n,a){var i=this;void 0===a&&(a=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:a,sourceMapId:this.mapId,data:Nn(e,s)},s),{cancel:function(){r&&delete i.callbacks[o],i.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:i.mapId})}}},Cc.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 k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.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)}},Cc.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(jn(e.error)):n(null,jn(e.data)))}else{var a=!1,i=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){a=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Nn(e):null,data:Nn(n,i)},i)}:function(t){a=!0},s=null,l=jn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!a&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Pc=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]))};Pc.prototype.setNorthEast=function(t){return this._ne=t instanceof Ic?new Ic(t.lng,t.lat):Ic.convert(t),this},Pc.prototype.setSouthWest=function(t){return this._sw=t instanceof Ic?new Ic(t.lng,t.lat):Ic.convert(t),this},Pc.prototype.extend=function(t){var e,r,n=this._sw,a=this._ne;if(t instanceof Ic)e=t,r=t;else{if(!(t instanceof Pc))return Array.isArray(t)?4===t.length||t.every(Array.isArray)?this.extend(Pc.convert(t)):this.extend(Ic.convert(t)):this;if(r=t._ne,!(e=t._sw)||!r)return this}return n||a?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),a.lng=Math.max(r.lng,a.lng),a.lat=Math.max(r.lat,a.lat)):(this._sw=new Ic(e.lng,e.lat),this._ne=new Ic(r.lng,r.lat)),this},Pc.prototype.getCenter=function(){return new Ic((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Pc.prototype.getSouthWest=function(){return this._sw},Pc.prototype.getNorthEast=function(){return this._ne},Pc.prototype.getNorthWest=function(){return new Ic(this.getWest(),this.getNorth())},Pc.prototype.getSouthEast=function(){return new Ic(this.getEast(),this.getSouth())},Pc.prototype.getWest=function(){return this._sw.lng},Pc.prototype.getSouth=function(){return this._sw.lat},Pc.prototype.getEast=function(){return this._ne.lng},Pc.prototype.getNorth=function(){return this._ne.lat},Pc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Pc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Pc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Pc.prototype.contains=function(t){var e=Ic.convert(t),r=e.lng,n=e.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),this._sw.lat<=n&&n<=this._ne.lat&&a},Pc.convert=function(t){return!t||t instanceof Pc?t:new Pc(t)};var Ic=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\")};Ic.prototype.wrap=function(){return new Ic(c(this.lng,-180,180),this.lat)},Ic.prototype.toArray=function(){return[this.lng,this.lat]},Ic.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Ic.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,a=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(a,1))},Ic.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 Pc(new Ic(this.lng-r,this.lat-e),new Ic(this.lng+r,this.lat+e))},Ic.convert=function(t){if(t instanceof Ic)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Ic(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Ic(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 zc=2*Math.PI*6371008.8;function Oc(t){return zc*Math.cos(t*Math.PI/180)}function Dc(t){return(180+t)/360}function Rc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Fc(t,e){return t/Oc(e)}function Bc(t){return 360/Math.PI*Math.atan(Math.exp((180-360*t)*Math.PI/180))-90}var Nc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Nc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Ic.convert(t);return new Nc(Dc(r.lng),Rc(r.lat),Fc(e,r.lat))},Nc.prototype.toLngLat=function(){return new Ic(360*this.x-180,Bc(this.y))},Nc.prototype.toAltitude=function(){return this.z*Oc(Bc(this.y))},Nc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=Bc(this.y),1/Math.cos(t*Math.PI/180));var t};var jc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=qc(0,t,t,e,r)};jc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},jc.prototype.url=function(t,e){var r,n,a,i,o,s=(n=this.y,a=this.z,i=Lc(256*(r=this.x),256*(n=Math.pow(2,a)-n-1),a),o=Lc(256*(r+1),256*(n+1),a),i[0]+\",\"+i[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,a=\"\",i=t;i>0;i--)a+=(e&(n=1<<i-1)?1:0)+(r&n?2:0);return a}(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)},jc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},jc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var Uc=function(t,e){this.wrap=t,this.canonical=e,this.key=qc(t,e.z,e.z,e.x,e.y)},Vc=function(t,e,r,n,a){this.overscaledZ=t,this.wrap=e,this.canonical=new jc(r,+n,+a),this.key=qc(e,t,r,n,a)};function qc(t,e,r,n,a){(t*=2)<0&&(t=-1*t-1);var i=1<<r;return(i*i*t+i*a+n).toString(36)+r.toString(36)+e.toString(36)}Vc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Vc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Vc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Vc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Vc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?qc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):qc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Vc.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},Vc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Vc(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 Vc(e,this.wrap,e,r,n),new Vc(e,this.wrap,e,r+1,n),new Vc(e,this.wrap,e,r,n+1),new Vc(e,this.wrap,e,r+1,n+1)]},Vc.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))},Vc.prototype.wrapped=function(){return new Vc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Vc.prototype.unwrapTo=function(t){return new Vc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Vc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Vc.prototype.toUnwrapped=function(){return new Uc(this.wrap,this.canonical)},Vc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Vc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Nc(t.x-this.wrap,t.y))},Dn(\"CanonicalTileID\",jc),Dn(\"OverscaledTileID\",Vc,{omit:[\"posMatrix\"]});var Hc=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 _('\"'+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 a=0;a<n;a++)this.data[this._idx(-1,a)]=this.data[this._idx(0,a)],this.data[this._idx(n,a)]=this.data[this._idx(n-1,a)],this.data[this._idx(a,-1)]=this.data[this._idx(a,0)],this.data[this._idx(a,n)]=this.data[this._idx(a,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)]};Hc.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])},Hc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Hc.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)},Hc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Hc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Hc.prototype.getPixels=function(){return new po({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Hc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,a=e*this.dim+this.dim,i=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=a-1;break;case 1:a=n+1}switch(r){case-1:i=o-1;break;case 1:o=i+1}for(var s=-e*this.dim,l=-r*this.dim,c=i;c<o;c++)for(var u=n;u<a;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Dn(\"DEMData\",Hc);var Gc=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}};Gc.prototype.encode=function(t){return this._stringToNumber[t]},Gc.prototype.decode=function(t){return this._numberToString[t]};var Yc=function(t,e,r,n,a){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=a},Wc={geometry:{configurable:!0}};Wc.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},Wc.geometry.set=function(t){this._geometry=t},Yc.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(Yc.prototype,Wc);var Zc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Zc.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]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var a in this.deletedStates[t]={},this.state[t])a!==n&&(this.deletedStates[t][a]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var i in this.deletedStates[t][n]={},this.state[t][n])r[i]||(this.deletedStates[t][n][i]=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]},Zc.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}},Zc.prototype.getState=function(t,e){var r=String(e),n=u({},(this.state[t]||{})[r],(this.stateChanges[t]||{})[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var a=this.deletedStates[t][e];if(null===a)return{};for(var i in a)delete n[i]}return n},Zc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Zc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var a={};for(var i in this.stateChanges[n])this.state[n][i]||(this.state[n][i]={}),u(this.state[n][i],this.stateChanges[n][i]),a[i]=this.state[n][i];r[n]=a}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 c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var h=0,f=Object.keys(this.deletedStates[o][c]);h<f.length;h+=1)delete this.state[o][c][f[h]];s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var p in t)t[p].setFeatureState(r,e)};var Xc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Ln(8192,16,0),this.grid3D=new Ln(8192,16,0),this.featureIndexArray=new ri,this.promoteId=e};function Jc(t,e,r,n,a){return v(t,(function(t,i){var o=e instanceof fa?e.get(i):null;return o&&o.evaluate?o.evaluate(r,n,a):o}))}function Kc(t){for(var e=1/0,r=1/0,n=-1/0,a=-1/0,i=0,o=t;i<o.length;i+=1){var s=o[i];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),a=Math.max(a,s.y)}return{minX:e,minY:r,maxX:n,maxY:a}}function Qc(t,e){return e-t}Xc.prototype.insert=function(t,e,r,n,a,i){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,a);for(var s=i?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],h=0;h<c.length;h++){var f=c[h];u[0]=Math.min(u[0],f.x),u[1]=Math.min(u[1],f.y),u[2]=Math.max(u[2],f.x),u[3]=Math.max(u[3],f.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Xc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new gs.VectorTile(new Hs(this.rawTileData)).layers,this.sourceLayerCoder=new Gc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Xc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=rn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,h=Kc(c),f=this.grid.query(h.minX-u,h.minY-u,h.maxX+u,h.maxY+u),p=Kc(t.cameraQueryGeometry),d=0,g=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(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 c=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var u=0,h=c;u<h.length;u+=1)if(Wi(t,h[u]))return!0;for(var f=0;f<t.length-1;f++)if(Zi(t[f],t[f+1],c))return!0;return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,i+u)}));d<g.length;d+=1)f.push(g[d]);f.sort(Qc);for(var m,v={},y=function(a){var u=f[a];if(u!==m){m=u;var h=i.featureIndexArray.get(u),p=null;i.loadMatchingFeature(v,h.bucketIndex,h.sourceLayerIndex,h.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Di(e)),r.queryIntersectsFeature(c,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},x=0;x<f.length;x++)y(x);return v},Xc.prototype.loadMatchingFeature=function(t,e,r,n,a,i,o,s,l,c,u){var h=this.bucketLayerIDs[e];if(!i||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(i,h)){var f=this.sourceLayerCoder.decode(r),p=this.vtLayers[f].feature(n);if(a.filter(new aa(this.tileID.overscaledZ),p))for(var d=this.getId(p,f),g=0;g<h.length;g++){var m=h[g];if(!(i&&i.indexOf(m)<0)){var v=s[m];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[m];x.paint=Jc(x.paint,v.paint,p,y,o),x.layout=Jc(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new Yc(p,this.z,this.x,this.y,d);_.layer=x;var w=t[m];void 0===w&&(w=t[m]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Xc.prototype.lookupSymbolFeatures=function(t,e,r,n,a,i,o,s){var l={};this.loadVTLayers();for(var c=rn(a),u=0,h=t;u<h.length;u+=1)this.loadMatchingFeature(l,r,n,h[u],c,i,o,s,e);return l},Xc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,a=r[e];n<a.length;n+=1)if(t===a[n])return!0;return!1},Xc.prototype.getId=function(t,e){var r=t.id;return this.promoteId&&\"boolean\"==typeof(r=t.properties[\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e]])&&(r=Number(r)),r},Dn(\"FeatureIndex\",Xc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var $c=function(t,e){this.tileID=t,this.uid=f(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};$c.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},$c.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},$c.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=i[a],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)r[s[o].id]=t}},a=0,i=t;a<i.length;a+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var a=this.buckets[n];if(a instanceof hc){if(this.hasSymbolBuckets=!0,!r)break;a.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var i in this.buckets){var o=this.buckets[i];if(o instanceof hc&&o.hasRTLText){this.hasRTLText=!0,na.isLoading()||na.isLoaded()||\"deferred\"!==ea()||ra();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 Za},$c.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},$c.prototype.getBucket=function(t){return this.buckets[t.id]},$c.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Sc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Sc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},$c.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},$c.prototype.queryRenderedFeatures=function(t,e,r,n,a,i,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:a,scale:i,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},$c.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),a=e?e.sourceLayer:\"\",i=n._geojsonTileLayer||n[a];if(i)for(var o=rn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,h={z:l,x:c,y:u},f=0;f<i.length;f++){var p=i.feature(f);if(o.filter(new aa(this.tileID.overscaledZ),p)){var d=r.getId(p,a),g=new Yc(p,l,c,u,d);g.tile=h,t.push(g)}}}},$c.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},$c.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},$c.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),a=!1;if(this.expirationTime>n)a=!1;else if(e)if(this.expirationTime<e)a=!0;else{var i=this.expirationTime-e;i?this.expirationTime=n+Math.max(i,3e4):a=!0}else a=!0;a?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},$c.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)},$c.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var a=this.buckets[n],i=a.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[i],s=t[i];if(o&&s&&0!==Object.keys(s).length){a.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(a)))}}}},$c.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},$c.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},$c.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},$c.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},$c.prototype.setDependencies=function(t,e){for(var r={},n=0,a=e;n<a.length;n+=1)r[a[n]]=!0;this.dependencies[t]=r},$c.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var a=this.dependencies[n[r]];if(a)for(var i=0,o=e;i<o.length;i+=1)if(a[o[i]])return!0}return!1};var tu=self.performance,eu=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},tu.mark(this._marks.start)};eu.prototype.finish=function(){tu.mark(this._marks.end);var t=tu.getEntriesByName(this._marks.measure);return 0===t.length&&(tu.measure(this._marks.measure,this._marks.start,this._marks.end),t=tu.getEntriesByName(this._marks.measure),tu.clearMarks(this._marks.start),tu.clearMarks(this._marks.end),tu.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=fo,t.CanonicalTileID=jc,t.CollisionBoxArray=Za,t.Color=Kt,t.DEMData=Hc,t.DataConstantProperty=pa,t.DictionaryCoder=Gc,t.EXTENT=8192,t.ErrorEvent=kt,t.EvaluationParameters=aa,t.Event=Tt,t.Evented=Mt,t.FeatureIndex=Xc,t.FillBucket=rs,t.FillExtrusionBucket=xs,t.ImageAtlas=dl,t.ImagePosition=fl,t.LineBucket=Cs,t.LngLat=Ic,t.LngLatBounds=Pc,t.MercatorCoordinate=Nc,t.ONE_EM=24,t.OverscaledTileID=Vc,t.Point=a,t.Point$1=a,t.Properties=ya,t.Protobuf=Hs,t.RGBAImage=po,t.RequestManager=q,t.RequestPerformance=eu,t.ResourceType=ft,t.SegmentVector=ai,t.SourceFeatureState=Zc,t.StructArrayLayout1ui2=Ha,t.StructArrayLayout2f1f2i16=Da,t.StructArrayLayout2i4=Ma,t.StructArrayLayout3ui6=Fa,t.StructArrayLayout4i8=Aa,t.SymbolBucket=hc,t.Texture=Sc,t.Tile=$c,t.Transitionable=sa,t.Uniform1f=vi,t.Uniform1i=mi,t.Uniform2f=yi,t.Uniform3f=xi,t.Uniform4f=bi,t.UniformColor=_i,t.UniformMatrix4f=Ti,t.UnwrappedTileID=Uc,t.ValidationError=St,t.WritingMode=gl,t.ZoomHistory=Un,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=sc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,a=new Array(t.length),i=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(i=t),a[o]=e,0==--n&&r(i,a)}))}))},t.bezier=o,t.bindAll=g,t.browser=R,t.cacheEntryPossiblyAdded=function(t){++ut>ot&&(t.getActor().send(\"enforceCacheSizeLimit\",it),ut=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete(\"mapbox-tiles\");t&&e.catch(t).then((function(){return t()}))},t.clipLine=jl,t.clone=function(t){var e=new to(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=x,t.clone$2=function(t){var e=new to(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ns,t.config=F,t.create=function(){var t=new to(16);return 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r}function ht(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function ft(t,e){if(t.transformed)return t;var r,n,a,i=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(pt(c[n],c[n+1],e,i,o,s));else for(n=0;n<c.length;n++){var h=[];for(a=0;a<c[n].length;a+=2)h.push(pt(c[n][a],c[n][a+1],e,i,o,s));l.geometry.push(h)}}return t.transformed=!0,t}function pt(t,e,r,n,a,i){return[Math.round(r*(t*n-a)),Math.round(r*(e*n-i))]}function dt(t,e,r,n,a){for(var i=e===a.maxZoom?0:a.tolerance/((1<<e)*a.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,gt(o,t[s],i,a);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,h=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),h>o.maxY&&(o.maxY=h)}return o}function gt(t,e,r,n){var a=e.geometry,i=e.type,o=[];if(\"Point\"===i||\"MultiPoint\"===i)for(var s=0;s<a.length;s+=3)o.push(a[s]),o.push(a[s+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===i)mt(o,a,t,r,!1,!1);else if(\"MultiLineString\"===i||\"Polygon\"===i)for(s=0;s<a.length;s++)mt(o,a[s],t,r,\"Polygon\"===i,0===s);else if(\"MultiPolygon\"===i)for(var l=0;l<a.length;l++){var c=a[l];for(s=0;s<c.length;s++)mt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if(\"LineString\"===i&&n.lineMetrics){for(var h in u={},e.tags)u[h]=e.tags[h];u.mapbox_clip_start=a.start/a.size,u.mapbox_clip_end=a.end/a.size}var f={geometry:o,type:\"Polygon\"===i||\"MultiPolygon\"===i?3:\"LineString\"===i||\"MultiLineString\"===i?2:1,tags:u};null!==e.id&&(f.id=e.id),t.features.push(f)}}function mt(t,e,r,n,a,i){var o=n*n;if(n>0&&e.size<(a?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;a&&function(t,e){for(var r=0,n=0,a=t.length,i=a-2;n<a;i=n,n+=2)r+=(t[n]-t[i])*(t[n+1]+t[i+1]);if(r>0===e)for(n=0,a=t.length;n<a/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[a-2-n],t[n+1]=t[a-1-n],t[a-2-n]=o,t[a-1-n]=s}}(s,i),t.push(s)}}function vt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)J(r,t.features[n],e,n);else J(r,\"Feature\"===t.type?t:{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,a=rt(t,1,-1-r,r,0,-1,2,e),i=rt(t,1,1-r,2+r,0,-1,2,e);return(a||i)&&(n=rt(t,1,-r,1+r,0,-1,2,e)||[],a&&(n=ut(a,1).concat(n)),i&&(n=n.concat(ut(i,-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 yt(t,e,r){return 32*((1<<t)*r+e)+t}function xt(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 a=new g(n.features),i=b(a);0===i.byteOffset&&i.byteLength===i.buffer.byteLength||(i=new Uint8Array(i)),e(null,{vectorTile:a,rawData:i.buffer})}F.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,a=e.maxZoom,i=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(N(t[l],l));this.trees[a+1]=new D(s,G,Y,i,Float32Array),r&&console.timeEnd(o);for(var c=a;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new D(s,G,Y,i,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},F.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),a=180===t[2]?180:((t[2]+180)%360+360)%360-180,i=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,a=180;else if(r>a){var o=this.getClusters([r,n,180,i],e),s=this.getClusters([-180,n,a,i],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,h=l.range(V(r),q(i),V(a),q(n));u<h.length;u+=1){var f=l.points[h[u]];c.push(f.numPoints?j(f):this.points[f.index])}return c},F.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",a=this.trees[r];if(!a)throw new Error(n);var i=a.points[e];if(!i)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=a.within(i.x,i.y,o);l<c.length;l+=1){var u=a.points[c[l]];u.parentId===t&&s.push(u.numPoints?j(u):this.points[u.index])}if(0===s.length)throw new Error(n);return s},F.prototype.getLeaves=function(t,e,r){var n=[];return this._appendLeaves(n,t,e=e||10,r=r||0,0),n},F.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],a=Math.pow(2,t),i=this.options,o=i.radius/i.extent,s=(r-o)/a,l=(r+1+o)/a,c={features:[]};return this._addTileFeatures(n.range((e-o)/a,s,(e+1+o)/a,l),n.points,e,r,a,c),0===e&&this._addTileFeatures(n.range(1-o/a,s,1,l),n.points,a,r,a,c),e===a-1&&this._addTileFeatures(n.range(0,s,o/a,l),n.points,-1,r,a,c),c.features.length?c:null},F.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},F.prototype._appendLeaves=function(t,e,r,n,a){for(var i=0,o=this.getChildren(e);i<o.length;i+=1){var s=o[i],l=s.properties;if(l&&l.cluster?a+l.point_count<=n?a+=l.point_count:a=this._appendLeaves(t,l.cluster_id,r,n,a):a<n?a++:t.push(s),t.length===r)break}return a},F.prototype._addTileFeatures=function(t,e,r,n,a,i){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*a-r)),Math.round(this.options.extent*(l.y*a-n))]],tags:c?U(l):this.points[l.index].properties},h=void 0;c?h=l.id:this.options.generateId?h=l.index:this.points[l.index].id&&(h=this.points[l.index].id),void 0!==h&&(u.id=h),i.features.push(u)}},F.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},F.prototype._cluster=function(t,e){for(var r=[],n=this.options,a=n.reduce,i=n.radius/(n.extent*Math.pow(2,e)),o=0;o<t.length;o++){var s=t[o];if(!(s.zoom<=e)){s.zoom=e;for(var l=this.trees[e+1],c=l.within(s.x,s.y,i),u=s.numPoints||1,h=s.x*u,f=s.y*u,p=a&&u>1?this._map(s,!0):null,d=(o<<5)+(e+1)+this.points.length,g=0,m=c;g<m.length;g+=1){var v=l.points[m[g]];if(!(v.zoom<=e)){v.zoom=e;var y=v.numPoints||1;h+=v.x*y,f+=v.y*y,u+=y,v.parentId=d,a&&(p||(p=this._map(s,!0)),a(p,this._map(v)))}}1===u?r.push(s):(s.parentId=d,r.push(B(h/u,f/u,d,u,p)))}}return r},F.prototype._getOriginId=function(t){return t-this.points.length>>5},F.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},F.prototype._map=function(t,e){if(t.numPoints)return e?H({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?H({},n):n},vt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},vt.prototype.splitTile=function(t,e,r,n,a,i,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=yt(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=dt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(f.source=t,a){if(e===l.maxZoom||e===a)continue;var d=1<<a-e;if(r!==Math.floor(i/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;g=m=v=y=null,x=rt(t,u,r-_,r+T,0,f.minX,f.maxX,l),b=rt(t,u,r+w,r+k,0,f.minX,f.maxX,l),t=null,x&&(g=rt(x,u,n-_,n+T,1,f.minY,f.maxY,l),m=rt(x,u,n+w,n+k,1,f.minY,f.maxY,l),x=null),b&&(v=rt(b,u,n-_,n+T,1,f.minY,f.maxY,l),y=rt(b,u,n+w,n+k,1,f.minY,f.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(m||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},vt.prototype.getTile=function(t,e,r){var n=this.options,a=n.extent,i=n.debug;if(t<0||t>24)return null;var o=1<<t,s=yt(t,e=(e%o+o)%o,r);if(this.tiles[s])return ft(this.tiles[s],a);i>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[yt(c,u,h)];return l&&l.source?(i>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,h),i>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,h,t,e,r),i>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?ft(this.tiles[s],a):null):null};var bt=function(e){function r(t,r,n,a){e.call(this,t,r,n,xt),a&&(this.loadGeoJSON=a)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.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 a=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(i,o){if(i||!o)return r(i);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));!function t(e,r){var n,a=e&&e.type;if(\"FeatureCollection\"===a)for(n=0;n<e.features.length;n++)t(e.features[n],r);else if(\"GeometryCollection\"===a)for(n=0;n<e.geometries.length;n++)t(e.geometries[n],r);else if(\"Feature\"===a)t(e.geometry,r);else if(\"Polygon\"===a)h(e.coordinates,r);else if(\"MultiPolygon\"===a)for(n=0;n<e.coordinates.length;n++)h(e.coordinates[n],r);return e}(o,!0);try{e._geoJSONIndex=n.cluster?new F(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var a={},i={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var h=u[c],f=n[h],p=f[0],d=t.createExpression(f[1]),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",h]]:p);a[h]=d.value,i[h]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var i=n[r];e[i]=a[i].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 a=n[r];o.accumulated=t[a],t[a]=i[a].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new vt(t,e)}(o,n.geojsonVtOptions)}catch(i){return r(i)}e.loaded={};var s={};if(a){var l=a.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;return n&&n[t.uid]?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),_t=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:bt},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 _t.prototype.setReferrer=function(t,e){this.referrer=e},_t.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var a=this.workerSources[t][n];for(var i in a)a[i].availableImages=e}r()},_t.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},_t.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},_t.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},_t.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},_t.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},_t.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},_t.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},_t.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},_t.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()}},_t.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},_t.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var a=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=a){this.self.importScripts(a);var i=t.plugin.isParsed();n(i?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+a),i)}}catch(t){n(t.toString())}},_t.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},_t.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},_t.prototype.getWorkerSource=function(t,e,r){var n=this;return this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),this.workerSources[t][e][r]||(this.workerSources[t][e][r]=new 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t=document.createElement(\"canvas\");t.width=t.height=1;var e=t.getContext(\"2d\");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(void 0===n[r=t&&t.failIfMajorPerformanceCaveat]&&(n[r]=function(t){var r=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,\"void main() {}\"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:\"insufficient WebGL support\"):\"insufficient Canvas/getImageData support\":\"insufficient ArrayBuffer support\":\"insufficient Uint8ClampedArray support\":\"insufficient worker support\":\"insufficient JSON support\":\"insufficient Object support\":\"insufficient Function support\":\"insufficent Array support\";var r}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),r={create:function(e,r,n){var a=t.window.document.createElement(e);return void 0!==r&&(a.className=r),n&&n.appendChild(a),a},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function a(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var i,o=a([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]);r.disableDrag=function(){n&&o&&(i=n[o],n[o]=\"none\")},r.enableDrag=function(){n&&o&&(n[o]=i)};var s=a([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",c,c),t.window.removeEventListener(\"test\",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),t.addEventListener(e,r,\"passive\"in n&&l?n:n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),t.removeEventListener(e,r,\"passive\"in n&&l?n:n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",u,!0)};function h(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\",u,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",u,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new 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n=r[e];this._notify(n.ids,n.callback)}this.requestors=[]}},r.prototype.getImage=function(t){return 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,a=t;n<a.length;n+=1){var i=a[n];if(i[0]<r||i[1]<i[0]||e<i[1])return!1;r=i[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){e.version=this.images[t].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,a=t;n<a.length;n+=1)this.images[a[n]]||(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={},a=0,i=e;a<i.length;a+=1){var o=i[a];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 a={w:n.data.width+2,h:n.data.height+2,x:0,y:0},i=new t.ImagePosition(a,n);this.patterns[e]={bin:a,position:i}}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),a=n.w,i=n.h,o=this.atlasImage;for(var s in o.resize({width:a||1,height:i||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,h=this.images[s].data,f=h.width,p=h.height;t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u},{width:f,height:p}),t.RGBAImage.copy(h,o,{x:0,y:p-1},{x:c,y:u-1},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u+p},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:f-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c+f,y:u},{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 a=this.images[n];h(a)&&this.updateImage(n,a)}}},r}(t.Evented),p=m,d=m,g=1e20;function m(t,e,r,n,a,i){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=a||\"sans-serif\",this.fontWeight=i||\"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 v(t,e,r,n,a,i,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,a,i,o,r),l=0;l<r;l++)t[l*e+s]=a[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,a,i,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(a[s])}}function y(t,e,r,n,a){r[0]=0,n[0]=-g,n[1]=+g;for(var i=1,o=0;i<a;i++){for(var s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);s<=n[o];)o--,s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);r[++o]=i,n[o]=s,n[o+1]=+g}for(i=0,o=0;i<a;i++){for(;n[o+1]<i;)o++;e[i]=(i-r[o])*(i-r[o])+t[r[o]]}}m.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 a=e.data[4*n+3]/255;this.gridOuter[n]=1===a?0:0===a?g:Math.pow(Math.max(0,.5-a),2),this.gridInner[n]=1===a?g:0===a?0:Math.pow(Math.max(0,a-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++)r[n]=Math.max(0,Math.min(255,Math.round(255-255*((this.gridOuter[n]-this.gridInner[n])/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,a=[];for(var i in e)for(var o=0,s=e[i];o<s.length;o+=1)a.push({stack:i,id:s[o]});t.asyncAll(a,(function(t,e){var r=t.stack,a=t.id,i=n.entries[r];i||(i=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=i.glyphs[a];if(void 0===o){if(o=n._tinySDF(i,r,a))return i.glyphs[a]=o,void e(null,{stack:r,id:a,glyph:o});var s=Math.floor(a/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(i.ranges[s])e(null,{stack:r,id:a,glyph:o});else{var l=i.requests[s];l||(l=i.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(i.glyphs[+r]=e[+r]);i.ranges[s]=!0}for(var a=0,o=l;a<o.length;a+=1)(0,o[a])(t,e);delete i.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:a,glyph:n[a]||null})}))}}else e(null,{stack:r,id:a,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.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 a=this.localIdeographFontFamily;if(a&&this._doesCharSupportLocalGlyph(n)){var i=e.tinySDF;if(!i){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),i=e.tinySDF=new x.TinySDF(24,3,8,.25,a,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},i.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,a,i){var o=256*r,s=o+255,l=a.transformRequest(a.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)i(e);else if(r){for(var n={},a=0,o=t.parseGlyphPBF(r);a<o.length;a+=1){var s=o[a];n[s.id]=s}i(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=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)).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 a=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),a):this._transitionable.setValue(n,a)}},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),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.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]},T.prototype.getDashRanges=function(t,e,r){var n=[],a=t.length%2==1?-t[t.length-1]*r:0,i=t[0]*r,o=!0;n.push({left:a,right:i,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){var c=t[l];n.push({left:a=s*r,right:i=(s+=c)*r,isDash:o=!o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,a=-r;a<=r;a++)for(var i=this.width*(this.nextRow+r+a),o=0,s=t[o],l=0;l<this.width;l++){l/s.right>1&&(s=t[++o]);var c=Math.abs(l-s.left),u=Math.abs(l-s.right),h=Math.min(c,u),f=void 0,p=a/r*(n+1);if(s.isDash){var d=n-Math.abs(p);f=Math.sqrt(h*h+d*d)}else f=n-Math.sqrt(h*h+p*p);this.data[i+l]=Math.max(0,Math.min(255,f+128))}},T.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 a=t[0],i=t[t.length-1];a.isDash===i.isDash&&(a.left=i.left-this.width,i.right=a.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),h=Math.abs(c-l.right),f=Math.min(u,h);this.data[o+c]=Math.max(0,Math.min(255,(l.isDash?f:-f)+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,a=2*n+1;if(this.nextRow+a>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var i=0,o=0;o<e.length;o++)i+=e[o];if(0!==i){var s=this.width/i,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:i};return this.nextRow+=a,this.dirty=!0,c},T.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 k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var a=this.workerPool.acquire(this.id),i=0;i<a.length;i++){var o=new e.Actor(a[i],n,this.id);o.name=\"Worker \"+i,this.actors.push(o)}};function M(e,r,n){var a=function(a,i){if(a)return n(a);if(i){var o=t.pick(t.extend(i,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);i.vector_layers&&(o.vectorLayers=i.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),a):t.browser.frame((function(){return a(null,e)}))}k.prototype.broadcast=function(e,r,n){t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n=n||function(){})},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var A=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};A.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]},A.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),a=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),i=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<i&&e.y>=a&&e.y<o};var S=function(e){function r(r,n,a,i){if(e.call(this),this.id=r,this.dispatcher=a,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(i)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.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 A(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)),a={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 i(n,a){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(a&&a.resourceTiming&&(e.resourceTiming=a.resourceTiming),this.map._refreshExpiredTiles&&a&&e.setExpiryData(a),e.loadVectorData(a,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}a.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",a,i.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",a,i.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),E=function(e){function r(r,n,a,i){e.call(this),this.id=r,this.dispatcher=a,this.setEventedParent(i),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)).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 A(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,a=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(a,t.ResourceType.Tile),(function(a,i){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(a)e.state=\"errored\",r(a);else if(i){n.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(i.width),e.texture?e.texture.update(i,{useMipmap:!0}):(e.texture=new t.Texture(o,i,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,a,i){e.call(this,r,n,a,i),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)).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 a(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,i){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(i){this.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var o=t.window.ImageBitmap&&i instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?i:t.browser.getImageData(i,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,a.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),a=(r.x-1+n)%n,i=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,i,r.z,a,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,i,r.z,a,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,i,r.z,a,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}(E),L=function(e){function r(r,n,a,i){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=a.getActor(),this.setEventedParent(i),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)).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),a=this._data;\"string\"==typeof a?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(a),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(a),this.actor.send(this.type+\".loadData\",n,(function(t,a){r._removed||a&&a.abandoned||(r._loaded=!0,a&&a.resourceTiming&&a.resourceTiming[r.id]&&(r._resourceTiming=a.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,a=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor,e.request=this.actor.send(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},(function(t,i){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(i,n.map.painter,\"reloadTile\"===a),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),P=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,a){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(a),this.options=r}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.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(a,i){n._loaded=!0,a?n.fire(new t.ErrorEvent(a)):i&&(n.image=i,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,a=-1/0,i=-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),a=Math.max(a,l.x),i=Math.max(i,l.y)}var c=Math.max(a-r,i-n),u=Math.max(0,Math.floor(-Math.log(c)/Math.LN2)),h=Math.pow(2,u);return new t.CanonicalTileID(u,Math.floor((r+a)/2*h),Math.floor((n+i)/2*h))}(n),this.minzoom=this.maxzoom=this.tileID.z;var a=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(a[0].x,a[0].y,0,0),this._boundsArray.emplaceBack(a[1].x,a[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(a[3].x,a[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(a[2].x,a[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,P.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 a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.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),z=function(e){function r(t,r,n,a){e.call(this,t,r,n,a),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,a=r.urls;n<a.length;n+=1)this.urls.push(this.map._requestManager.transformRequest(a[n],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,P.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 a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.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),O=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),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)).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 a in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.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 i=this.tiles[a];\"loaded\"!==i.state&&(i.state=\"loaded\",i.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),D={vector:S,raster:E,\"raster-dem\":C,geojson:L,video:z,image:I,canvas:O};function R(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 F(t,e,r,n,a,i){var o=function(t,e,r){if(t)for(var n=0,a=t;n<a.length;n+=1){var i=e[a[n]];if(i&&i.source===r&&\"fill-extrusion\"===i.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}(a&&a.layers,e,t.id),s=i.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(B);for(var c=[],u=0,h=l;u<h.length;u+=1){var f=h[u];c.push({wrappedTileID:f.tileID.wrapped().key,queryResults:f.tile.queryRenderedFeatures(e,r,t._state,f.queryGeometry,f.cameraQueryGeometry,f.scale,a,i,s,R(t.transform,f.tileID))})}var p=function(t){for(var e={},r={},n=0,a=t;n<a.length;n+=1){var i=a[n],o=i.queryResults,s=i.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],h=l[c]=l[c]||{},f=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var g=d[p];h[g.featureIndex]||(h[g.featureIndex]=!0,f.push(g))}}return e}(c);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 B(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 N=function(t,e){this.max=t,this.onRemove=e,this.reset()};N.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},N.prototype.add=function(t,e,r){var n=this,a=t.wrapped().key;void 0===this.data[a]&&(this.data[a]=[]);var i={value:e,timeout:void 0};if(void 0!==r&&(i.timeout=setTimeout((function(){n.remove(t,i)}),r)),this.data[a].push(i),this.order.push(a),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.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},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.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),a=this.data[r][n];return this.data[r].splice(n,1),a.timeout&&clearTimeout(a.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(a.value),this.order.splice(this.order.indexOf(r),1),this},N.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},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,a=this.data[r];n<a.length;n+=1){var i=a[n];t(i.value)||e.push(i)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var j=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};j.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},j.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},j.prototype.destroy=function(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)};var U={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},V=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var a=t.gl;this.buffer=a.createBuffer(),t.bindVertexBuffer.set(this.buffer),a.bufferData(a.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?a.DYNAMIC_DRAW:a.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};V.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},V.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},V.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=e.attributes[this.attributes[r].name];void 0!==n&&t.enableVertexAttribArray(n)}},V.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var a=this.attributes[n],i=e.attributes[a.name];void 0!==i&&t.vertexAttribPointer(i,a.components,t[U[a.type]],!1,this.itemSize,a.offset+this.itemSize*(r||0))}},V.prototype.destroy=function(){this.buffer&&(this.context.gl.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 H=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.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),G=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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)).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)).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),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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),J=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return{func:this.gl.ALWAYS,ref:0,mask:255}},e.prototype.set=function(t){var e=this.current;(t.func!==e.func||t.ref!==e.ref||t.mask!==e.mask||this.dirty)&&(this.gl.stencilFunc(t.func,t.ref,t.mask),this.current=t,this.dirty=!1)},e}(q),K=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){var t=this.gl;return[t.KEEP,t.KEEP,t.KEEP]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||this.dirty)&&(this.gl.stencilOp(t[0],t[1],t[2]),this.current=t,this.dirty=!1)},e}(q),Q=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.STENCIL_TEST):e.disable(e.STENCIL_TEST),this.current=t,this.dirty=!1}},e}(q),$=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return[0,1]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.depthRange(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.DEPTH_TEST):e.disable(e.DEPTH_TEST),this.current=t,this.dirty=!1}},e}(q),et=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 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e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),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)).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),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(q),gt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}},e}(q),mt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){var e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1},e}(q),vt=function(t){function e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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),yt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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),_t=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)).constructor=e,e.prototype.getDefault=function(){return null},e}(q),wt=function(t){function 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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 At=function(t,e,r,n,a,i){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=a,this.pass=i};At.disabled=new At({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Ct=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new H(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new Z(this),this.stencilMask=new X(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new at(this),this.blendEquation=new it(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ht(this),this.bindFramebuffer=new ft(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new mt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(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\")};Ct.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()},Ct.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},Ct.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Ct.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Ct.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,a=n.createRenderbuffer();return this.bindRenderbuffer.set(a),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),a},Ct.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Ct.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,a=0;e&&(a|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(a|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(a)},Ct.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))},Ct.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)},Ct.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)},Ct.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Ct.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Lt=function(e){function r(r,n,a){var i=this;e.call(this),this.id=r,this.dispatcher=a,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(i._sourceLoaded=!0),i._sourceLoaded&&!i._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(i.reload(),i.transform&&i.update(i.transform))})),this.on(\"error\",(function(){i._sourceErrored=!0})),this._source=function(e,r,n,a){var i=new D[r.type](e,r,n,a);if(i.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+i.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],i),i}(r,n,a,this),this._tiles={},this._cache=new N(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)).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(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var a in this._tiles)this._isIdRenderable(a,e)&&n.push(this._tiles[a]);return e?n.sort((function(e,n){var a=e.tileID,i=n.tileID,o=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle),s=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle);return a.overscaledZ-i.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).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,a){if(a)return e.state=\"errored\",void(404!==a.status?this._source.fire(new t.ErrorEvent(a,{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 a=this.getTileByID(n);i(t,a),i(a,t)}}function i(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,a=Math.pow(2,t.tileID.canonical.z),i=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+a)?r+=a:1===Math.abs(r-a)&&(r-=a)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[i]&&(t.neighboringTiles[i].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 a in this._tiles){var i=this._tiles[a];if(!(n[a]||!i.hasData()||i.tileID.overscaledZ<=e||i.tileID.overscaledZ>r)){for(var o=i.tileID;i&&i.tileID.overscaledZ>e+1;){var s=i.tileID.scaledTo(i.tileID.overscaledZ-1);(i=this._tiles[s.key])&&i.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 a=t.scaledTo(n),i=this._getLoadedTile(a);if(i)return i}},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,r=Math.ceil(t.height/this._source.tileSize)+1,n=Math.floor(e*r*5),a=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,n):n;this._cache.setMaxSize(a)},r.prototype.handleWrapJump=function(t){var e=Math.round((t-(void 0===this._prevLng?t:this._prevLng))/360);if(this._prevLng=t,e){var r={};for(var n in this._tiles){var a=this._tiles[n];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+e),r[a.tileID.key]=a}for(var i in this._tiles=r,this._timers)clearTimeout(this._timers[i]),delete this._timers[i];for(var o in this._tiles)this._setTileReloadTimer(o,this._tiles[o])}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var a;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?a=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)})):(a=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&&(a=a.filter((function(t){return n._source.hasTile(t)})))):a=[];var i=e.coveringZoomLevel(this._source),o=Math.max(i-r.maxOverzooming,this._source.minzoom),s=Math.max(i+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(a,i);if(It(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);h<f.length;h+=1){var p=f[h],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var m=this.findLoadedParent(d,o);m&&(this._addTile(m.tileID),c[m.tileID.key]=m.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,i,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].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={},a={},i=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],h=this._addTile(u);n[u.key]=u,h.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var f=0,p=t;f<p.length;f+=1){var d=p[f],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=i;--b){var _=d.scaledTo(b);if(a[_.key])break;if(a[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.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 a=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(a))break;n=a}for(var i=0,o=e;i<o.length;i+=1)this._loadedParentTiles[o[i]]=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 a=this,i=[],o=this.transform;if(!o)return i;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),h=1/0,f=1/0,p=-1/0,d=-1/0,g=0,m=c;g<m.length;g+=1){var v=m[g];h=Math.min(h,v.x),f=Math.min(f,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=a._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*t.EXTENT/n.tileSize/g,v=[s.getTilePoint(new t.MercatorCoordinate(h,f)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-m<t.EXTENT&&v[0].y-m<t.EXTENT&&v[1].x+m>=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));i.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return i},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,a=r;n<a.length;n+=1){var i=a[n];i.posMatrix=this.transform.calculatePosMatrix(i.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(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){this._state.updateState(t=t||\"_geojsonTileLayer\",e,r)},r.prototype.removeFeatureState=function(t,e,r){this._state.removeFeatureState(t=t||\"_geojsonTileLayer\",e,r)},r.prototype.getFeatureState=function(t,e){return this._state.getState(t=t||\"_geojsonTileLayer\",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 Pt(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 It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(Ya.workerUrl)}Lt.maxOverzooming=10,Lt.maxUnderzooming=3;var Ot=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[Ot]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var a in e)\"ref\"!==a&&(n[a]=e[a]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(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]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={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 Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function qt(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function Ht(t,e,r,n){qt(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var a;for(a in e[n])if(e[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;for(a in r[n])if(r[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;return!0}function Yt(e,r,n,a,i,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}))}function Wt(t){return t.id}function Zt(t,e){return t[e.id]=e,t}var Xt=function(t,e){this.reset(t,e)};Xt.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},Xt.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],a=e*this.paddedLength+this.padding;n<a&&r<this._distances.length;)n=this._distances[++r];var i=r-1,o=this._distances[i],s=n-o,l=s>0?(a-o)/s:0;return this.points[i].mult(1-l).add(this.points[r].mult(l))};var Jt=function(t,e,r){var n=this.boxCells=[],a=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var i=0;i<this.xCellCount*this.yCellCount;i++)n.push([]),a.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 Kt(e,r,n,a,i){var o=t.create();return r?(t.scale(o,o,[1/i,1/i,1]),n||t.rotateZ(o,o,a.angle)):t.multiply(o,a.labelPlaneMatrix,e),o}function Qt(e,r,n,a,i){if(r){var o=t.clone(e);return t.scale(o,o,[i,i,1]),n||t.rotateZ(o,o,-a.angle),o}return a.glCoordMatrix}function $t(e,r){var n=[e.x,e.y,0,1];ue(n,n,r);var a=n[3];return{point:new t.Point(n[0]/a,n[1]/a),signedDistanceFromCamera:a}}function te(t,e){return.5+t/e*.5}function ee(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function re(e,r,n,a,i,o,s,l){var c=a?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=a?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=a?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!m)ce(y.numGlyphs,f);else{m=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),ee(x,h)){var b=te(n.transform.cameraToCenterDistance,x[3]),_=t.evaluateSizeForFeature(c,u,y),w=s?_/b:_*b,T=new t.Point(y.anchorX,y.anchorY),k=$t(T,i).point,M={},A=ie(y,w,!1,l,r,i,o,e.glyphOffsetArray,p,f,k,T,M,g);m=A.useVertical,(A.notEnoughRoom||m||A.needsFlipping&&ie(y,w,!0,l,r,i,o,e.glyphOffsetArray,p,f,k,T,M,g).notEnoughRoom)&&ce(y.numGlyphs,f)}else ce(y.numGlyphs,f)}}a?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function ne(t,e,r,n,a,i,o,s,l,c,u){var h=s.glyphStartIndex+s.numGlyphs,f=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),g=e.getoffsetX(h-1),m=se(t*d,r,n,a,i,o,s.segment,f,p,l,c,u);if(!m)return null;var v=se(t*g,r,n,a,i,o,s.segment,f,p,l,c,u);return v?{first:m,last:v}:null}function ae(e,r,n,a){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*a?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function ie(e,r,n,a,i,o,s,l,c,u,h,f,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ne(m,l,v,y,n,h,f,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=$t(w.first.point,s).point,k=$t(w.last.point,s).point;if(a&&!n){var M=ae(e.writingMode,T,k,d);if(M)return M}g=[w.first];for(var A=e.glyphStartIndex+1;A<x-1;A++)g.push(se(m*l.getoffsetX(A),v,y,n,h,f,e.segment,b,_,c,o,p));g.push(w.last)}else{if(a&&!n){var S=$t(f,i).point,E=e.lineStartIndex+e.segment+1,C=new t.Point(c.getx(E),c.gety(E)),L=$t(C,i),P=L.signedDistanceFromCamera>0?L.point:oe(f,C,S,1,i),I=ae(e.writingMode,S,P,d);if(I)return I}var z=se(m*l.getoffsetX(e.glyphStartIndex),v,y,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!z)return{notEnoughRoom:!0};g=[z]}for(var O=0,D=g;O<D.length;O+=1){var R=D[O];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function oe(t,e,r,n,a){var i=$t(t.add(t.sub(e)._unit()),a).point,o=r.sub(i);return r.add(o._mult(n/o.mag()))}function se(e,r,n,a,i,o,s,l,c,u,h,f){var p=a?e-r:e+r,d=p>0?1:-1,g=0;a&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=i,y=i,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)<l||m>=c)return null;if(y=v,w.push(v),void 0===(v=f[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=$t(T,h);if(k.signedDistanceFromCamera>0)v=f[m]=k.point;else{var M=m-d;v=oe(0===x?o:new t.Point(u.getx(M),u.gety(M)),T,y,_-x+1,h)}}x+=b,b=y.dist(v)}var A=(_-x)/b,S=v.sub(y),E=S.mult(A)._add(y);E._add(S._unit()._perp()._mult(n*d));var C=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:C,path:w}}Jt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Jt.prototype.insert=function(t,e,r,n,a){this._forEachCell(e,r,n,a,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(a)},Jt.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)},Jt.prototype._insertBoxCell=function(t,e,r,n,a,i){this.boxCells[a].push(i)},Jt.prototype._insertCircleCell=function(t,e,r,n,a,i){this.circleCells[a].push(i)},Jt.prototype._query=function(t,e,r,n,a,i){if(r<0||t>this.width||n<0||e>this.height)return!a&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(a)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 c=this.circles[3*l],u=this.circles[3*l+1],h=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-h,y1:u-h,x2:c+h,y2:u+h})}return i?o.filter(i):o}return this._forEachCell(t,e,r,n,this._queryCell,o,{hitTest:a,seenUids:{box:{},circle:{}}},i),a?o.length>0:o},Jt.prototype._queryCircle=function(t,e,r,n,a){var i=t-r,o=t+r,s=e-r,l=e+r;if(o<0||i>this.width||l<0||s>this.height)return!n&&[];var c=[];return this._forEachCell(i,s,o,l,this._queryCellCircle,c,{hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}},a),n?c.length>0:c},Jt.prototype.query=function(t,e,r,n,a){return this._query(t,e,r,n,!1,a)},Jt.prototype.hitTest=function(t,e,r,n,a){return this._query(t,e,r,n,!0,a)},Jt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Jt.prototype._queryCell=function(t,e,r,n,a,i,o,s){var l=o.seenUids,c=this.boxCells[a];if(null!==c)for(var u=this.bboxes,h=0,f=c;h<f.length;h+=1){var p=f[h];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return i.push(!0),!0;i.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[a];if(null!==g)for(var m=this.circles,v=0,y=g;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(m[b],m[b+1],m[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return i.push(!0),!0;var _=m[b],w=m[b+1],T=m[b+2];i.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Jt.prototype._queryCellCircle=function(t,e,r,n,a,i,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[a];if(null!==u)for(var h=this.bboxes,f=0,p=u;f<p.length;f+=1){var d=p[f];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[g+0],h[g+1],h[g+2],h[g+3])&&(!s||s(this.boxKeys[d])))return i.push(!0),!0}}var m=this.circleCells[a];if(null!==m)for(var v=this.circles,y=0,x=m;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return i.push(!0),!0}}},Jt.prototype._forEachCell=function(t,e,r,n,a,i,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++)if(a.call(this,t,e,r,n,this.xCellCount*p+f,i,o,s))return},Jt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Jt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Jt.prototype._circlesCollide=function(t,e,r,n,a,i){var o=n-t,s=a-e,l=r+i;return l*l>o*o+s*s},Jt.prototype._circleAndRectCollide=function(t,e,r,n,a,i,o){var s=(i-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-a)/2,u=Math.abs(e-(a+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var h=l-s,f=u-c;return h*h+f*f<=r*r};var le=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ce(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(le,3*n)}}function ue(t,e,r){var n=e[0],a=e[1];return t[0]=r[0]*n+r[4]*a+r[12],t[1]=r[1]*n+r[5]*a+r[13],t[3]=r[3]*n+r[7]*a+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Jt(t.width+200,t.height+200,25)),void 0===r&&(r=new Jt(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+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function fe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,a){var i=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*i.perspectiveRatio,s=t.x1*o+i.point.x,l=t.y1*o+i.point.y,c=t.x2*o+i.point.x,u=t.y2*o+i.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,a)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,a,i,o,s,l,c,u,h,f,p){var d=[],g=new t.Point(r.anchorX,r.anchorY),m=$t(g,o),v=te(this.transform.cameraToCenterDistance,m.signedDistanceFromCamera),y=(u?i/v:i*v)/t.ONE_EM,x=$t(g,s).point,b=ne(y,a,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,g,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*f*v+p,M=new t.Point(-100,-100),A=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Xt,E=b.first,C=b.last,L=[],P=E.path.length-1;P>=1;P--)L.push(E.path[P]);for(var I=1;I<C.path.length;I++)L.push(C.path[I]);var z=2.5*k;if(l){var O=L.map((function(t){return $t(t,l)}));L=O.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:O.map((function(t){return t.point}))}var D=[];if(L.length>0){for(var R=L[0].clone(),F=L[0].clone(),B=1;B<L.length;B++)R.x=Math.min(R.x,L[B].x),R.y=Math.min(R.y,L[B].y),F.x=Math.max(F.x,L[B].x),F.y=Math.max(F.y,L[B].y);D=R.x>=M.x&&F.x<=A.x&&R.y>=M.y&&F.y<=A.y?[L]:F.x<M.x||R.x>A.x||F.y<M.y||R.y>A.y?[]:t.clipLine([L],M.x,M.y,A.x,A.y)}for(var N=0,j=D;N<j.length;N+=1){var U;S.reset(j[N],.25*k),U=S.length<=.5*k?1:Math.ceil(S.paddedLength/z)+1;for(var V=0;V<U;V++){var q=V/Math.max(U-1,1),H=S.lerp(q),G=H.x+100,Y=H.y+100;d.push(G,Y,k,0);var W=G-k,Z=Y-k,X=G+k,J=Y+k;if(T=T&&this.isOffscreen(W,Z,X,J),w=w||this.isInsideGrid(W,Z,X,J),!e&&this.grid.hitTestCircle(G,Y,k,h)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,a=1/0,i=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),a=Math.min(a,u.y),i=Math.max(i,u.x),o=Math.max(o,u.y),r.push(u)}for(var h={},f={},p=0,d=this.grid.query(n,a,i,o).concat(this.ignoredGrid.query(n,a,i,o));p<d.length;p+=1){var g=d[p],m=g.key;if(void 0===h[m.bucketInstanceId]&&(h[m.bucketInstanceId]={}),!h[m.bucketInstanceId][m.featureIndex]){var v=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,v)&&(h[m.bucketInstanceId][m.featureIndex]=!0,void 0===f[m.bucketInstanceId]&&(f[m.bucketInstanceId]=[]),f[m.bucketInstanceId].push(m.featureIndex))}}return f},he.prototype.insertCollisionBox=function(t,e,r,n,a){(e?this.ignoredGrid:this.grid).insert({bucketInstanceId:r,featureIndex:n,collisionGroupID:a},t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,a){for(var i=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:a},s=0;s<t.length;s+=4)i.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var a=[r,n,0,1];return ue(a,a,e),{point:new t.Point((a[0]/a[3]+1)/2*this.transform.width+100,(-a[1]/a[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/a[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var pe=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};pe.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var de=function(t,e,r,n,a){this.text=new pe(t?t.text:null,e,r,a),this.icon=new pe(t?t.icon:null,e,n,a)};de.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},me=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ve=function(t,e,r,n,a){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=a},ye=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function xe(e,r,n,a,i){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,a);return new t.Point(s+c[0]*i,l+c[1]*i)}function be(e,r,n,a,i,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,h=e.anchorPointX,f=e.anchorPointY,p=new t.Point(r,n);return a&&p._rotate(i?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:h,anchorPointY:f}}ye.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 _e=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new ye(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function we(t,e,r,n,a){t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0)}_e.prototype.getBucketParts=function(e,r,n,a){var i=n.getBucket(r),o=n.latestFeatureIndex;if(i&&o&&r.id===i.layerIds[0]){var s=n.collisionBoxArray,l=i.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),f=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=fe(n,1,this.transform.zoom),g=Kt(h,f,p,this.transform,d),m=null;if(f){var v=Qt(h,f,p,this.transform,d);m=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[i.bucketInstanceId]=new ve(i.bucketInstanceId,o,i.sourceLayerIndex,i.index,n.tileID);var y={bucket:i,layout:l,posMatrix:h,textLabelPlaneMatrix:g,labelToScreenMatrix:m,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(i.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(i.sourceID)};if(a)for(var x=0,b=i.sortKeyRanges;x<b.length;x+=1){var _=b[x];e.push({sortKey:_.sortKey,symbolInstanceStart:_.symbolInstanceStart,symbolInstanceEnd:_.symbolInstanceEnd,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:i.symbolInstances.length,parameters:y})}},_e.prototype.attemptAnchorPlacement=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d){var g,m=[h.textOffset0,h.textOffset1],v=xe(t,r,n,m,a),y=this.collisionIndex.placeCollisionBox(be(e,v.x,v.y,i,o,this.transform.angle),u,s,l,c.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(be(d,v.x,v.y,i,o,this.transform.angle),u,s,l,c.predicate).box.length)return y.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID].text&&(g=this.prevPlacement.variableOffsets[h.crossTileID].anchor),this.variableOffsets[h.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:a,prevAnchor:g},this.markUsedJustification(f,t,h,p),f.allowVerticalPlacement&&(this.markUsedOrientation(f,p,h),this.placedOrientations[h.crossTileID]=p),{shift:v,placedGlyphBoxes:y}):void 0},_e.prototype.placeLayerBucketPart=function(e,r,n){var a=this,i=e.parameters,o=i.bucket,s=i.layout,l=i.posMatrix,c=i.textLabelPlaneMatrix,u=i.labelToScreenMatrix,h=i.textPixelRatio,f=i.holdingForFade,p=i.collisionBoxArray,d=i.partiallyEvaluatedTextSize,g=i.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=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=y&&(x||!o.hasIconData()||v),M=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var A=function(e,i){if(!r[e.crossTileID])if(f)a.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,A=!1,S=!0,E=null,C={box:null,offscreen:null},L={box:null,offscreen:null},P=null,I=null,z=0,O=0,D=0;i.textFeatureIndex?z=i.textFeatureIndex:e.useRuntimeCollisionCircles&&(z=e.featureIndex),i.verticalTextFeatureIndex&&(O=i.verticalTextFeatureIndex);var R=i.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&a.prevPlacement){var i=a.prevPlacement.placedOrientations[e.crossTileID];i&&(a.placedOrientations[e.crossTileID]=i,a.markUsedOrientation(o,n=i,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&i.verticalTextBox)for(var a=0,s=o.writingModes;a<s.length&&(s[a]===t.WritingMode.vertical?(C=n(),L=C):C=r(),!(C&&C.box&&C.box.length));a+=1);else C=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(a.prevPlacement&&a.prevPlacement.variableOffsets[e.crossTileID]){var j=a.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 i=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,f={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var m=a.attemptAnchorPlacement(N[d%N.length],t,i,s,c,b,_,h,l,g,d>=N.length,e,o,n,u);if(m&&(f=m.placedGlyphBoxes)&&f.box&&f.box.length){T=!0,E=m.shift;break}}return f};B((function(){return U(R,i.iconBox,t.WritingMode.horizontal)}),(function(){var r=i.verticalTextBox;return o.allowVerticalPlacement&&!(C&&C.box&&C.box.length)&&e.numVerticalGlyphVertices>0&&r?U(r,i.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),C&&(T=C.box,S=C.offscreen);var V=F(C&&C.box);if(!T&&a.prevPlacement){var q=a.prevPlacement.variableOffsets[e.crossTileID];q&&(a.variableOffsets[e.crossTileID]=q,a.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=a.collisionIndex.placeCollisionBox(t,y,h,l,g.predicate);return n&&n.box&&n.box.length&&(a.markUsedOrientation(o,r,e),a.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=i.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(C&&C.box&&C.box.length)}}if(T=(p=C)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\");P=a.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,e.collisionCircleDiameter,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(i.iconFeatureIndex&&(D=i.iconFeatureIndex),i.iconBox){var Z=function(t){var e=w&&E?be(t,E.x,E.y,b,_,a.transform.angle):t;return a.collisionIndex.placeCollisionBox(e,x,h,l,g.predicate)};A=L&&L.box&&L.box.length&&i.verticalIconBox?(I=Z(i.verticalIconBox)).box.length>0:(I=Z(i.iconBox)).box.length>0,S=S&&I.offscreen}var X=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=v||0===e.numIconVertices;if(X||J?J?X||(A=A&&T):T=A&&T:A=T=A&&T,T&&p&&p.box&&a.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,L&&L.box&&O?O:z,g.ID),A&&I&&a.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),P&&(T&&a.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID),n)){var K=o.bucketInstanceId,Q=a.collisionCircleArrays[K];void 0===Q&&(Q=a.collisionCircleArrays[K]=new me);for(var $=0;$<P.circles.length;$+=4)Q.circles.push(P.circles[$+0]),Q.circles.push(P.circles[$+1]),Q.circles.push(P.circles[$+2]),Q.circles.push(P.collisionDetected?1:0)}a.placements[e.crossTileID]=new ge(T||k,A||M,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 C=S[E];A(o.symbolInstances.get(C),o.collisionArrays[C])}else for(var L=e.symbolInstanceStart;L<e.symbolInstanceEnd;L++)A(o.symbolInstances.get(L),o.collisionArrays[L]);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},_e.prototype.markUsedJustification=function(e,r,n,a){var i;i=a===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:{left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex}[t.getAnchorJustification(r)];for(var o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];o<s.length;o+=1){var l=s[o];l>=0&&(e.text.placedSymbolArray.get(l).crossTileID=i>=0&&l!==i?0:n.crossTileID)}},_e.prototype.markUsedOrientation=function(e,r,n){for(var a=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,i=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1)e.text.placedSymbolArray.get(s[o]).placedOrientation=a;n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=i)},_e.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,a=e?e.opacities:{},i=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=a[s];c?(this.opacities[s]=new de(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new de(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in a){var h=a[u];if(!this.opacities[u]){var f=new de(h,n,!1,!1);f.isHidden()||(this.opacities[u]=f,r=r||h.text.placed||h.icon.placed)}}for(var p in i)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=i[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)},_e.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,a=e;n<a.length;n+=1){var i=a[n],o=i.getBucket(t);o&&i.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,i.collisionBoxArray)}},_e.prototype.updateBucketOpacities=function(e,r,n){var a=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 i=e.layers[0].layout,o=new de(null,0,!1,!1,!0),s=i.get(\"text-allow-overlap\"),l=i.get(\"icon-allow-overlap\"),c=i.get(\"text-variable-anchor\"),u=\"map\"===i.get(\"text-rotation-alignment\"),h=\"map\"===i.get(\"text-pitch-alignment\"),f=\"none\"!==i.get(\"icon-text-fit\"),p=new de(null,0,s&&(l||!e.hasIconData()||i.get(\"icon-optional\")),l&&(s||!e.hasTextData()||i.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)},g=function(n){var i=e.symbolInstances.get(n),s=i.numHorizontalGlyphVertices,l=i.numVerticalGlyphVertices,g=i.crossTileID,m=a.opacities[g];r[g]?m=o:m||(a.opacities[g]=m=p),r[g]=!0;var v=i.numIconVertices>0,y=a.placedOrientations[i.crossTileID],x=y===t.WritingMode.vertical,b=y===t.WritingMode.horizontal||y===t.WritingMode.horizontalOnly;if(s>0||l>0){var _=Le(m.text);d(e.text,s,x?Pe:_),d(e.text,l,b?Pe:_);var w=m.text.isHidden();[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=w||x?1:0)})),i.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(i.verticalPlacedTextSymbolIndex).hidden=w||b?1:0);var T=a.variableOffsets[i.crossTileID];T&&a.markUsedJustification(e,T.anchor,i,y);var k=a.placedOrientations[i.crossTileID];k&&(a.markUsedJustification(e,\"left\",i,k),a.markUsedOrientation(e,k,i))}if(v){var M=Le(m.icon),A=!(f&&i.verticalPlacedIconSymbolIndex&&x);i.placedIconSymbolIndex>=0&&(d(e.icon,i.numIconVertices,A?M:Pe),e.icon.placedSymbolArray.get(i.placedIconSymbolIndex).hidden=m.icon.isHidden()),i.verticalPlacedIconSymbolIndex>=0&&(d(e.icon,i.numVerticalIconVertices,A?Pe:M),e.icon.placedSymbolArray.get(i.verticalPlacedIconSymbolIndex).hidden=m.icon.isHidden())}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var S=e.collisionArrays[n];if(S){var E=new t.Point(0,0);if(S.textBox||S.verticalTextBox){var C=!0;if(c){var L=a.variableOffsets[g];L?(E=xe(L.anchor,L.width,L.height,L.textOffset,L.textBoxScale),u&&E._rotate(h?a.transform.angle:-a.transform.angle)):C=!1}S.textBox&&we(e.textCollisionBox.collisionVertexArray,m.text.placed,!C||x,E.x,E.y),S.verticalTextBox&&we(e.textCollisionBox.collisionVertexArray,m.text.placed,!C||b,E.x,E.y)}var P=Boolean(!b&&S.verticalIconBox);S.iconBox&&we(e.iconCollisionBox.collisionVertexArray,m.icon.placed,P,f?E.x:0,f?E.y:0),S.verticalIconBox&&we(e.iconCollisionBox.collisionVertexArray,m.icon.placed,!P,f?E.x:0,f?E.y:0)}}},m=0;m<e.symbolInstances.length;m++)g(m);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 v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},_e.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},_e.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},_e.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},_e.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},_e.prototype.setStale=function(){this.stale=!0};var Te=Math.pow(2,25),ke=Math.pow(2,24),Me=Math.pow(2,17),Ae=Math.pow(2,16),Se=Math.pow(2,9),Ee=Math.pow(2,8),Ce=Math.pow(2,1);function Le(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*Te+e*ke+r*Me+e*Ae+r*Se+e*Ee+r*Ce+e}var Pe=0,Ie=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=[]};Ie.prototype.continuePlacement=function(t,e,r,n,a){for(var i=this._bucketParts;this._currentTileIndex<t.length;)if(e.getBucketParts(i,n,t[this._currentTileIndex],this._sortAcrossTiles),this._currentTileIndex++,a())return!0;for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,i.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<i.length;)if(e.placeLayerBucketPart(i[this._currentPartIndex],this._seenCrossTileIDs,r),this._currentPartIndex++,a())return!0;return!1};var ze=function(t,e,r,n,a,i,o){this.placement=new _e(t,a,i,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var a=this,i=t.browser.now(),o=function(){var e=t.browser.now()-i;return!a._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 Ie(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Oe=512/t.EXTENT/2,De=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var a=e.get(n),i=a.key;this.indexedSymbolInstances[i]||(this.indexedSymbolInstances[i]=[]),this.indexedSymbolInstances[i].push({crossTileID:a.crossTileID,coord:this.getScaledCoordinates(a,t)})}};De.prototype.getScaledCoordinates=function(e,r){var n=Oe/Math.pow(2,r.canonical.z-this.tileID.canonical.z);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*n),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*n)}},De.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),a=0;a<t.length;a++){var i=t.get(a);if(!i.crossTileID){var o=this.indexedSymbolInstances[i.key];if(o)for(var s=this.getScaledCoordinates(i,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,i.crossTileID=u.crossTileID;break}}}}};var Re=function(){this.maxCrossTileID=0};Re.prototype.generate=function(){return++this.maxCrossTileID};var Fe=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Fe.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],a={};for(var i in n){var o=n[i];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),a[o.tileID.key]=o}this.indexes[r]=a}this.lng=t},Fe.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 a=this.usedCrossTileIDs[t.overscaledZ];for(var i in this.indexes){var o=this.indexes[i];if(Number(i)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,a)}else{var c=o[t.scaledTo(Number(i)).key];c&&c.findMatches(e.symbolInstances,t,a)}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=r.generate(),a[h.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new De(t,e.symbolInstances,e.bucketInstanceId),!0},Fe.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,a=e.indexedSymbolInstances[r];n<a.length;n+=1)delete this.usedCrossTileIDs[t][a[n].crossTileID]},Fe.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var a in n)t[n[a].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[a]),delete n[a],e=!0)}return e};var Be=function(){this.layerIndexes={},this.crossTileIDs=new Re,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Be.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Fe);var a=!1,i={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(a=!0),i[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(i)&&(a=!0),a},Be.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 Ne=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},je=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ue=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ve=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var a,i=t.styleSpec.$root[n];i.required&&null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}return e}(),qe=function(e){function r(n,a){var i=this;void 0===a&&(a={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new f,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,a.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Be,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){o.dispatcher.broadcast(\"syncRTLPluginState\",{pluginStatus:e.pluginStatus,pluginURL:e.pluginURL},(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=i.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in i._layers){var a=i._layers[n];a.source===r.id&&i._validateLayer(a)}}}}))}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.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 a=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var i=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(i,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,a)}))},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(Ve,!1)},r.prototype._load=function(e,r){if(!r||!Ne(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 a=jt(this.stylesheet.layers);this._order=a.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var i=0,o=a;i<o.length;i+=1){var s=o[i];(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 w(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 a,i,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,a=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,i=e,u())}));function u(){if(o)n(o);else if(a&&i){var e=t.browser.getImageData(i),r={};for(var s in a){var l=a[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var a in n)r.imageManager.addImage(a,n[a]);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 a=r.getSource();(\"geojson\"===a.type||a.vectorLayerIds&&-1===a.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+a.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 a=this._layers[n[r]];\"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),a=Object.keys(this._removedLayers);for(var i in(n.length||a.length)&&this._updateWorkerLayers(n,a),this._updatedSources){var o=this._updatedSources[i];\"reload\"===o?this._reloadSource(i):\"clear\"===o&&this._clearSource(i)}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 c=0,u=this._order;c<u.length;c+=1){var h=this._layers[u[c]];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(),Ne(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=function(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var a={},i=[];!function(e,r,n,a){var i;for(i in r=r||{},e=e||{})e.hasOwnProperty(i)&&(r.hasOwnProperty(i)||qt(i,n,a));for(i in r)r.hasOwnProperty(i)&&(e.hasOwnProperty(i)?t.deepEqual(e[i],r[i])||(\"geojson\"===e[i].type&&\"geojson\"===r[i].type&&Gt(e,r,i)?n.push({command:Ut.setGeoJSONSourceData,args:[i,r[i].data]}):Ht(i,r,n,a)):Vt(i,r,n))}(e.sources,r.sources,i,a);var o=[];e.layers&&e.layers.forEach((function(t){a[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(i),function(e,r,n){r=r||[];var a,i,o,s,l,c,u,h=(e=e||[]).map(Wt),f=r.map(Wt),p=e.reduce(Zt,{}),d=r.reduce(Zt,{}),g=h.slice(),m=Object.create(null);for(a=0,i=0;a<h.length;a++)d.hasOwnProperty(o=h[a])?i++:(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.indexOf(o,i),1));for(a=0,i=0;a<f.length;a++)g[g.length-1-a]!==(o=f[f.length-1-a])&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-i),1)):i++,n.push({command:Ut.addLayer,args:[d[o],c=g[g.length-a]]}),g.splice(g.length-a,0,o),m[o]=!0);for(a=0;a<f.length;a++)if(s=p[o=f[a]],l=d[o],!m[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(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}(this.serialize(),e).filter((function(t){return!(t.command in Ue)}));if(0===n.length)return!1;var a=n.filter((function(t){return!(t.command in je)}));if(a.length>0)throw new Error(\"Unimplemented: \"+a.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 a=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 i=this.sourceCaches[e]=new Lt(e,r,this.dispatcher);i.style=this,i.setEventedParent(this,(function(){return{isSourceLoaded:a.loaded(),source:i.serialize(),sourceId:e}})),i.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 a=e.id;if(this.getLayer(a))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+a+'\" already exists on this map')));else{var i;if(\"custom\"===e.type){if(Ne(this,t.validateCustomStyleLayer(e)))return;i=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(a,e.source),e=t.clone$1(e),e=t.extend(e,{source:a})),this._validate(t.validateStyle.layer,\"layers.\"+a,e,{arrayIndex:-1},n))return;i=t.createStyleLayer(e),this._validateLayer(i),i.setEventedParent(this,{layer:{id:a}}),this._serializedLayers[i.id]=i.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,a),this._layerOrderChanged=!0,this._layers[a]=i,this._removedLayers[a]&&i.source&&\"custom\"!==i.type){var s=this._removedLayers[a];delete this._removedLayers[a],s.type!==i.type?this._updatedSources[i.source]=\"clear\":(this._updatedSources[i.source]=\"reload\",this.sourceCaches[i.source].pause())}this._updateLayer(i),i.onAdd&&i.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 a=r?this._order.indexOf(r):this._order.length;r&&-1===a?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(a,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 a=this.getLayer(e);a?a.minzoom===r&&a.maxzoom===n||(null!=r&&(a.minzoom=r),null!=n&&(a.maxzoom=n),this._updateLayer(a)):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 a=this.getLayer(e);if(a){if(!t.deepEqual(a.filter,r))return null==r?(a.filter=void 0,void this._updateLayer(a)):void(this._validate(t.validateStyle.filter,\"layers.\"+a.id+\".filter\",r,null,n)||(a.filter=t.clone$1(r),this._updateLayer(a)))}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,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getLayoutProperty(r),n)||(i.setLayoutProperty(r,n,a),this._updateLayer(i)):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,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getPaintProperty(r),n)||(i.setPaintProperty(r,n,a)&&this._updateLayer(i),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,a=e.sourceLayer,i=this.sourceCaches[n];if(void 0!==i){var o=i.getSource().type;\"geojson\"===o&&a?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||a?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.setFeatureState(a,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,a=this.sourceCaches[n];if(void 0!==a){var i=a.getSource().type,o=\"vector\"===i?e.sourceLayer:void 0;\"vector\"!==i||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.\"))):a.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,a=this.sourceCaches[r];if(void 0!==a){if(\"vector\"!==a.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.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={},a=[],i=this._order.length-1;i>=0;i--){var o=this._order[i];if(r(o)){n[o]=i;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1)a.push(h[u])}}}a.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var f=[],p=this._order.length-1;p>=0;p--){var d=this._order[p];if(r(d))for(var g=a.length-1;g>=0;g--){var m=a[g].feature;if(n[m.layer.id]<p)break;f.push(m),a.pop()}else for(var v=0,y=t;v<y.length;v+=1){var x=y[v][d];if(x)for(var b=0,_=x;b<_.length;b+=1)f.push(_[b].feature)}}return f},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var a={};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 i=0,o=r.layers;i<o.length;i+=1){var s=o[i],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.\"))),[];a[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!a[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,a,i,o){for(var s={},l=i.queryRenderedSymbols(n),c=[],u=0,h=Object.keys(l).map(Number);u<h.length;u+=1)c.push(o[h[u]]);c.sort(B);for(var f=function(){var r=d[p],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,a.filter,a.layers,a.availableImages,t);for(var i in n){var o=s[i]=s[i]||[],c=n[i];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var a=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-a}return e.featureIndex-t.featureIndex}));for(var u=0,h=c;u<h.length;u+=1)o.push(h[u])}},p=0,d=c;p<d.length;p+=1)f();var g=function(e){s[e].forEach((function(n){var a=n.feature,i=r[t[e].source].getFeatureState(a.layer[\"source-layer\"],a.id);a.source=a.layer.source,a.layer[\"source-layer\"]&&(a.sourceLayer=a.layer[\"source-layer\"]),a.state=i}))};for(var m in s)g(m);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},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=[],a={},i=0;i<r.length;i++){var o=r[i],s=o.tileID.canonical.key;a[s]||(a[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(),a=!1;for(var i in e)if(!t.deepEqual(e[i],n[i])){a=!0;break}if(a){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,a,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Ne(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},a)))},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,a,i){void 0===i&&(i=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var h=this._layers[u[c]];if(\"symbol\"===h.type){if(!l[h.source]){var f=this.sourceCaches[h.source];l[h.source]=f.getRenderableIds(!0).map((function(t){return f.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var p=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||p}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((i=i||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,i,r,n,a,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 d=0,g=this._order;d<g.length;d+=1){var m=this._layers[g[d]];\"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);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var He=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ge=vr(\"#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;}\"),Ye=vr(\"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);}\"),We=vr(\"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);}\"),Ze=vr(\"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);}\"),Xe=vr(\"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);}\"),Je=vr(\"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;}\"),Ke=vr(\"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;}\"),Qe=vr(\"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;}\"),$e=vr(\"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);}\"),tr=vr(\"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);}\"),er=vr(\"#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);}\"),rr=vr(\"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;}\"),nr=vr(\"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;}\"),ar=vr(\"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);}\"),ir=vr(\"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;}\"),or=vr(\"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;}\"),sr=vr(\"#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;}\"),lr=vr(\"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;}\"),cr=vr(\"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);}\"),ur=vr(\"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);}\"),hr=vr(\"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;}\"),fr=vr(\"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);}\"),pr=vr(\"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;}\"),dr=vr(\"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));}\"),gr=vr(\"#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);}\"),mr=vr(\"#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 vr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,a,i){return n[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,a,i){var o=\"float\"===a?\"vec2\":\"vec4\",s=i.match(/color/)?\"color\":o;return n[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"}))}}var yr=Object.freeze({__proto__:null,prelude:Ge,background:Ye,backgroundPattern:We,circle:Ze,clippingMask:Xe,heatmap:Je,heatmapTexture:Ke,collisionBox:Qe,collisionCircle:$e,debug:tr,fill:er,fillOutline:rr,fillOutlinePattern:nr,fillPattern:ar,fillExtrusion:ir,fillExtrusionPattern:or,hillshadePrepare:sr,hillshade:lr,line:cr,lineGradient:ur,linePattern:hr,lineSDF:fr,raster:pr,symbolIcon:dr,symbolSDF:gr,symbolTextAndIcon:mr}),xr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};xr.prototype.bind=function(t,e,r,n,a,i,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);t.extVertexArrayObject&&this.vao&&this.boundProgram===e&&this.boundLayoutVertexBuffer===r&&!l&&this.boundIndexBuffer===a&&this.boundVertexOffset===i&&this.boundDynamicVertexBuffer===o&&this.boundDynamicVertexBuffer2===s?(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),a&&a.dynamicDraw&&a.bind(),s&&s.bind()):this.freshBind(e,r,n,a,i,o,s)},xr.prototype.freshBind=function(t,e,r,n,a,i,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=a,this.boundDynamicVertexBuffer=i,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h)}e.enableAttributes(u,t);for(var f=0,p=r;f<p.length;f+=1)p[f].enableAttributes(u,t);i&&i.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,a);for(var d=0,g=r;d<g.length;d+=1){var m=g[d];m.bind(),m.setVertexAttribPointers(u,t,a)}i&&(i.bind(),i.setVertexAttribPointers(u,t,a)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,a)),c.currentNumAttributes=l},xr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var br=function(t,e,r,n,a){var i=t.gl;this.program=i.createProgram();var o=r?r.defines():[];a&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ge.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ge.vertexSource,e.vertexSource).join(\"\\n\"),c=i.createShader(i.FRAGMENT_SHADER);if(i.isContextLost())this.failedToCreate=!0;else{i.shaderSource(c,s),i.compileShader(c),i.attachShader(this.program,c);var u=i.createShader(i.VERTEX_SHADER);if(i.isContextLost())this.failedToCreate=!0;else{i.shaderSource(u,l),i.compileShader(u),i.attachShader(this.program,u);for(var h=r?r.layoutAttributes:[],f=0;f<h.length;f++)i.bindAttribLocation(this.program,f,h[f].name);i.linkProgram(this.program),i.deleteShader(u),i.deleteShader(c),this.numAttributes=i.getProgramParameter(this.program,i.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=i.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=i.getAttribLocation(this.program,g.name))}for(var m=i.getProgramParameter(this.program,i.ACTIVE_UNIFORMS),v=0;v<m;v++){var y=i.getActiveUniform(this.program,v);y&&(p[y.name]=i.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function _r(t,e,r){var n=1/fe(r,1,e.transform.tileZoom),a=Math.pow(2,r.tileID.overscaledZ),i=r.tileSize*Math.pow(2,e.transform.tileZoom)/a,o=i*(r.tileID.canonical.x+r.tileID.wrap*a),s=i*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]}}br.prototype.draw=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(a),t.setCullFace(i),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new xr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var wr=function(e,r,n,a){var i=r.style.light,o=i.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===i.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=i.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:i.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:a}},Tr=function(e,r,n,a,i,o,s){return t.extend(wr(e,r,n,a),_r(o,r,s),{u_height_factor:-Math.pow(2,i.overscaledZ)/s.tileSize/8})},kr=function(t){return{u_matrix:t}},Mr=function(e,r,n,a){return t.extend(kr(e),_r(n,r,a))},Ar=function(t,e){return{u_matrix:t,u_world:e}},Sr=function(e,r,n,a,i){return t.extend(Mr(e,r,n,a),{u_world:i})},Er=function(e,r,n,a){var i,o,s=e.transform;if(\"map\"===a.paint.get(\"circle-pitch-alignment\")){var l=fe(n,1,s.zoom);i=!0,o=[l,l]}else i=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===a.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,a.paint.get(\"circle-translate\"),a.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+i,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=fe(r,1,e.zoom),a=Math.pow(2,e.zoom-r.tileID.overscaledZ),i=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*a),e.pixelsToGLUnits[1]/(n*a)],u_overscale_factor:i}},Lr=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]}},Pr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Ir=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:fe(e,1,r),u_intensity:n}},Or=function(e,r,n){var a=e.transform;return{u_matrix:Nr(e,r,n),u_ratio:1/fe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Dr=function(e,r,n){return t.extend(Or(e,r,n),{u_image:0})},Rr=function(e,r,n,a){var i=e.transform,o=Br(r,i);return{u_matrix:Nr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/fe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,a.fromScale,a.toScale],u_fade:a.t,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n,a,i){var o=e.lineAtlas,s=Br(r,e.transform),l=\"round\"===n.layout.get(\"line-cap\"),c=o.getDash(a.from,l),u=o.getDash(a.to,l),h=c.width*i.fromScale,f=u.width*i.toScale;return t.extend(Or(e,r,n),{u_patternscale_a:[s/h,-c.height/2],u_patternscale_b:[s/f,-u.height/2],u_sdfgamma:o.width/(256*Math.min(h,f)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:u.y,u_mix:i.t})};function Br(t,e){return 1/fe(t,1,e.tileZoom)}function Nr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var jr=function(t,e,r,n,a){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*a.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:a.paint.get(\"raster-brightness-min\"),u_brightness_high:a.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=a.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(i=a.paint.get(\"raster-contrast\"),i>0?1/(1-i):1+i),u_spin_weights:Ur(a.paint.get(\"raster-hue-rotate\"))};var i,o};function Ur(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 Vr,qr=function(t,e,r,n,a,i,o,s,l,c){var u=a.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:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:a.options.fadeDuration?a.symbolFadeChange:1,u_matrix:i,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Hr=function(e,r,n,a,i,o,s,l,c,u,h){var f=i.transform;return t.extend(qr(e,r,n,a,i,o,s,l,c,u),{u_gamma_scale:a?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},Gr=function(e,r,n,a,i,o,s,l,c,u){return t.extend(Hr(e,r,n,a,i,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Yr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Wr=function(e,r,n,a,i,o){return t.extend(function(t,e,r,n){var a=r.imageManager.getPattern(t.from.toString()),i=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,h=u*(n.tileID.canonical.x+n.tileID.wrap*c),f=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:a.tl,u_pattern_br_a:a.br,u_pattern_tl_b:i.tl,u_pattern_br_b:i.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:a.displaySize,u_pattern_size_b:i.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/fe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(a,o,n,i),{u_matrix:e,u_opacity:r})},Zr={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 Xr(e,r,n,a,i,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),h=[],f=0,p=0,d=0;d<a.length;d++){var g=a[d],m=r.getTile(g),v=m.getBucket(n);if(v){var y=g.posMatrix;0===i[0]&&0===i[1]||(y=e.translatePosMatrix(g.posMatrix,m,i,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),h.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=f+=b.length/4}x&&u.draw(l,c.LINES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&h.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*f),k._trim();for(var M=0,A=0,S=h;A<S.length;A+=1)for(var E=S[A],C=0;C<E.circleArray.length/4;C++){var L=4*C,P=E.circleArray[L+0],I=E.circleArray[L+1],z=E.circleArray[L+2],O=E.circleArray[L+3];k.emplace(M++,P,I,z,O,0),k.emplace(M++,P,I,z,O,1),k.emplace(M++,P,I,z,O,2),k.emplace(M++,P,I,z,O,3)}(!Vr||Vr.length<2*f)&&(Vr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var a=0;a<r;a++){var i=6*a;n.uint16[i+0]=4*a+0,n.uint16[i+1]=4*a+1,n.uint16[i+2]=4*a+2,n.uint16[i+3]=4*a+2,n.uint16[i+4]=4*a+3,n.uint16[i+5]=4*a+0}return n}(f));for(var D=l.createIndexBuffer(Vr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=h;F<B.length;F+=1){var N=B[F],j=Lr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Jr=t.identity(new Float32Array(16));function Kr(e,r,n,a,i,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,a);return new t.Point((l/i+u[0])*o,(c/i+u[1])*o)}function Qr(e,r,n,a,i,o,s,l,c,u,h){var f=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,g={};p.clear();for(var m=0;m<f.length;m++){var v=f.get(m),y=v.hidden||!v.crossTileID||e.allowVerticalPlacement&&!v.placedOrientation?null:a[v.crossTileID];if(y){var x=new t.Point(v.anchorX,v.anchorY),b=$t(x,n?l:s),_=te(o.cameraToCenterDistance,b.signedDistanceFromCamera),w=i.evaluateSizeForFeature(e.textSizeData,u,v)*_/t.ONE_EM;n&&(w*=e.tilePixelRatio/c);for(var T=Kr(y.anchor,y.width,y.height,y.textOffset,y.textBoxScale,w),k=n?$t(x.add(T),s).point:b.point.add(r?T.rotate(-o.angle):T),M=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,A=0;A<v.numGlyphs;A++)t.addDynamicAttributes(p,k,M);h&&v.associatedIconIndex>=0&&(g[v.associatedIconIndex]={shiftedAnchor:k,angle:M})}else ce(v.numGlyphs,p)}if(h){d.clear();for(var S=e.icon.placedSymbolArray,E=0;E<S.length;E++){var C=S.get(E);if(C.hidden)ce(C.numGlyphs,d);else{var L=g[E];if(L)for(var P=0;P<C.numGlyphs;P++)t.addDynamicAttributes(d,L.shiftedAnchor,L.angle);else ce(C.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function $r(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function tn(e,r,n,a,i,o,s,l,c,u,h,f){for(var p=e.context,d=p.gl,g=e.transform,m=\"map\"===l,v=\"map\"===c,y=m&&\"point\"!==n.layout.get(\"symbol-placement\"),x=m&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,M=a;k<M.length;k+=1){var A=M[k],S=r.getTile(A),E=S.getBucket(n);if(E){var C=i?E.text:E.icon;if(C&&C.segments.get().length){var L=C.programConfigurations.get(n.id),P=i||E.sdfIcons,I=i?E.textSizeData:E.iconSizeData,z=v||0!==g.pitch,O=e.useProgram($r(P,i,E),L),D=t.evaluateSizeForZoom(I,g.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(i)B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText&&(F=S.imageAtlasTexture.size,j=S.imageAtlasTexture,U=z||e.options.rotating||e.options.zooming||\"composite\"===I.kind||\"camera\"===I.kind?d.LINEAR:d.NEAREST);else{var V=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||V||z?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=fe(S,1,e.transform.zoom),H=Kt(A.posMatrix,v,m,e.transform,q),G=Qt(A.posMatrix,v,m,e.transform,q),Y=w&&E.hasTextData(),W=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&E.hasIconData();y&&re(E,A.posMatrix,e,i,H,G,v,u);var Z=e.translatePosMatrix(A.posMatrix,S,o,s),X=y||i&&w||W?Jr:H,J=e.translatePosMatrix(G,S,o,s,!0),K=P&&0!==n.paint.get(i?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Q={program:O,buffers:C,uniformValues:P?E.iconsInText?Gr(I.kind,D,x,v,e,Z,X,J,R,F):Hr(I.kind,D,x,v,e,Z,X,J,i,R,!0):qr(I.kind,D,x,v,e,Z,X,J,i,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:K};if(b)for(var $=0,tt=C.segments.get();$<tt.length;$+=1){var et=tt[$];T.push({segments:new t.SegmentVector([et]),sortKey:et.sortKey,state:Q})}else T.push({segments:C.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var rt=0,nt=T;rt<nt.length;rt+=1){var at=nt[rt],it=at.state;if(p.activeTexture.set(d.TEXTURE0),it.atlasTexture.bind(it.atlasInterpolation,d.CLAMP_TO_EDGE),it.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),it.atlasTextureIcon&&it.atlasTextureIcon.bind(it.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),it.isSDF){var ot=it.uniformValues;it.hasHalo&&(ot.u_is_halo=1,en(it.buffers,at.segments,n,e,it.program,_,h,f,ot)),ot.u_is_halo=0}en(it.buffers,at.segments,n,e,it.program,_,h,f,it.uniformValues)}}function en(t,e,r,n,a,i,o,s,l){var c=n.context;a.draw(c,c.gl.TRIANGLES,i,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function rn(t,e,r,n,a,i,o){var s,l,c,u,h,f=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=f.LINES):(l=d?\"fillPattern\":\"fill\",s=f.TRIANGLES);for(var m=0,v=n;m<v.length;m+=1){var y=v[m],x=e.getTile(y);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(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),_.updatePaintBuffers(g));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,M=k.patternPositions[T.to.toString()],A=k.patternPositions[T.from.toString()];M&&A&&_.setConstantPatternPositions(M,A)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,h=b.segments2;var E=[f.drawingBufferWidth,f.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Sr(S,t,g,x,E):Ar(S,E)}else u=b.indexBuffer,h=b.segments,c=d?Mr(S,t,g,x):kr(S);w.draw(t.context,s,a,t.stencilModeForClipping(y),i,Et.disabled,c,r.id,b.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,_)}}}}function nn(t,e,r,n,a,i,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),h=r.getCrossfadeParameters(),f=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],m=e.getTile(g),v=m.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),m.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(h));var b=c.constantOr(null);if(b&&m.imageAtlas){var _=m.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(g.posMatrix,m,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),M=r.paint.get(\"fill-extrusion-vertical-gradient\"),A=u?Tr(k,t,M,f,g,h,m):wr(k,t,M,f);x.draw(s,s.gl.TRIANGLES,a,i,o,Et.backCCW,A,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function an(e,r,n,a,i,o){var s=e.context,l=s.gl,c=r.fbo;if(c){var u=e.useProgram(\"hillshade\");s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,c.colorAttachment.get());var h=function(e,r,n){var a=n.paint.get(\"hillshade-shadow-color\"),i=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,c,u,h=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),h),u_image:0,u_latrange:(l=r.tileID,c=Math.pow(2,l.canonical.z),u=l.canonical.y,[new t.MercatorCoordinate(0,u/c).toLngLat().lat,new t.MercatorCoordinate(0,(u+1)/c).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:a,u_highlight:i,u_accent:o}}(e,r,n);u.draw(s,l.TRIANGLES,a,i,o,Et.disabled,h,n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments)}}function on(e,r,n,a,i,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var h=u.dim,f=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var g=r.fbo;if(!g){var m=new t.Texture(l,{width:h,height:h,data:null},c.RGBA);m.bind(c.LINEAR,c.CLAMP_TO_EDGE),(g=r.fbo=l.createFramebuffer(h,h,!0)).colorAttachment.set(m.texture)}l.bindFramebuffer.set(g.framebuffer),l.viewport.set([0,0,h,h]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,i,o,s,Et.disabled,function(e,r,n){var a=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[a,a],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,a),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function sn(e,r,n,a,i){var o=a.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=i.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),p=f&&e.refreshedUponExpiration?1:t.clamp(f?l:1-c,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 ln=new t.Color(1,0,0,1),cn=new t.Color(0,1,0,1),un=new t.Color(0,0,1,1),hn=new t.Color(1,0,1,1),fn=new t.Color(0,1,1,1);function pn(t,e,r,n){gn(t,0,e+r/2,t.transform.width,r,n)}function dn(t,e,r,n){gn(t,e-r/2,0,r,t.transform.height,n)}function gn(e,r,n,a,i,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function mn(e,r,n){var a=e.context,i=a.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,c=At.disabled,u=e.colorModeForRenderPass();a.activeTexture.set(i.TEXTURE0),e.emptyTexture.bind(i.LINEAR,i.CLAMP_TO_EDGE),s.draw(a,i.LINE_STRIP,l,c,u,Et.disabled,Pr(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,f=Math.floor((h&&h.byteLength||0)/1024),p=r.getTile(n).tileSize,d=512/Math.min(p,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,a=t.debugOverlayCanvas.getContext(\"2d\");a.clearRect(0,0,r.width,r.height),a.shadowColor=\"white\",a.shadowBlur=2,a.lineWidth=1.5,a.strokeStyle=\"white\",a.textBaseline=\"top\",a.font=\"bold 36px Open Sans, sans-serif\",a.fillText(e,5,5),a.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\" \"+f+\"kb\"),s.draw(a,i.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Pr(o,t.Color.transparent,d),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var vn={symbol:function(e,r,n,a,i){if(\"translucent\"===e.renderPass){var o=At.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,a,i,o,s){for(var l=r.transform,c=\"map\"===i,u=\"map\"===o,h=0,f=e;h<f.length;h+=1){var p=f[h],d=a.getTile(p),g=d.getBucket(n);if(g&&g.text&&g.text.segments.get().length){var m=t.evaluateSizeForZoom(g.textSizeData,l.zoom),v=fe(d,1,r.transform.zoom),y=Kt(p.posMatrix,u,c,r.transform,v),x=\"none\"!==n.layout.get(\"icon-text-fit\")&&g.hasIconData();if(m){var b=Math.pow(2,l.zoom-d.tileID.overscaledZ);Qr(g,c,u,s,t.symbolSize,l,y,p.posMatrix,b,m,x)}}}}(a,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),i),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&tn(e,r,n,a,!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)&&tn(e,r,n,a,!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&&(Xr(e,r,n,a,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Xr(e,r,n,a,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,a){if(\"translucent\"===e.renderPass){var i=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!==i.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,h=e.depthModeForSublayer(0,Mt.ReadOnly),f=At.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<a.length;g++){var m=a[g],v=r.getTile(m),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Er(e,m,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,M=d;k<M.length;k+=1){var A=M[k],S=A.state;S.program.draw(c,u.TRIANGLES,h,f,p,Et.disabled,S.uniformValues,n.id,S.layoutVertexBuffer,S.indexBuffer,A.segments,n.paint,e.transform.zoom,S.programConfiguration)}}}},heatmap:function(e,r,n,a){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var i=e.context,o=i.gl,s=At.disabled,l=new St([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 a=r.heatmapFbo;if(a)n.bindTexture(n.TEXTURE_2D,a.colorAttachment.get()),t.bindFramebuffer.set(a.framebuffer);else{var i=n.createTexture();n.bindTexture(n.TEXTURE_2D,i),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),a=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var a=t.gl;a.texImage2D(a.TEXTURE_2D,0,a.RGBA,e.width/4,e.height/4,0,a.RGBA,t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:a.UNSIGNED_BYTE,null),n.colorAttachment.set(r)}(t,e,i,a)}}(i,e,n),i.clear({color:t.Color.transparent});for(var c=0;c<a.length;c++){var u=a[c];if(!r.hasRenderableParent(u)){var h=r.getTile(u),f=h.getBucket(n);if(f){var p=f.programConfigurations.get(n.id);e.useProgram(\"heatmap\",p).draw(i,o.TRIANGLES,Mt.disabled,s,l,Et.disabled,zr(u.posMatrix,h,e.transform.zoom,n.paint.get(\"heatmap-intensity\")),n.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,n.paint,e.transform.zoom,p)}}}i.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,a=n.gl,i=r.heatmapFbo;if(i){n.activeTexture.set(a.TEXTURE0),a.bindTexture(a.TEXTURE_2D,i.colorAttachment.get()),n.activeTexture.set(a.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,a.RGBA)),o.bind(a.LINEAR,a.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,a.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,a){var i=t.create();t.ortho(i,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:i,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:0,u_color_ramp:1,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,a){if(\"translucent\"===e.renderPass){var i=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==i.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=h?\"linePattern\":c?\"lineSDF\":f?\"lineGradient\":\"line\",g=e.context,m=g.gl,v=!0;if(f){g.activeTexture.set(m.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,m.RGBA)),y.bind(m.LINEAR,m.CLAMP_TO_EDGE)}for(var x=0,b=a;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!h||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),M=e.context.program.get(),A=e.useProgram(d,k),S=v||A.program!==M,E=u.constantOr(null);if(E&&w.imageAtlas){var C=w.imageAtlas,L=C.patternPositions[E.to.toString()],P=C.patternPositions[E.from.toString()];L&&P&&k.setConstantPatternPositions(L,P)}var I=h?Rr(e,w,n,p):c?Fr(e,w,n,c,p):f?Dr(e,w,n):Or(e,w,n);h?(g.activeTexture.set(m.TEXTURE0),w.imageAtlasTexture.bind(m.LINEAR,m.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(g.activeTexture.set(m.TEXTURE0),e.lineAtlas.bind(g)),A.draw(g,m.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,a){var i=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\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===i.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);rn(e,r,n,a,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var h=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);rn(e,r,n,a,h,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var a=r.paint.get(\"fill-extrusion-opacity\");if(0!==a&&\"translucent\"===t.renderPass){var i=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==a||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))nn(t,e,r,n,i,At.disabled,St.disabled),nn(t,e,r,n,i,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();nn(t,e,r,n,i,At.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var a=t.context,i=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,h=l[1];u<h.length;u+=1){var f=h[u],p=e.getTile(f);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?on(t,p,r,i,o,At.disabled,s):\"translucent\"===t.renderPass&&an(t,p,r,o,c[f.overscaledZ],s)}a.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 a=t.context,i=a.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],h=c[1],f=h[h.length-1].overscaledZ,p=!t.options.moving,d=0,g=h;d<g.length;d+=1){var m=g[d],v=t.depthModeForSublayer(m.overscaledZ-f,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,i.LESS),y=e.getTile(m),x=t.transform.calculatePosMatrix(m.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(m,0),_=sn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?i.NEAREST:i.LINEAR;a.activeTexture.set(i.TEXTURE0),y.texture.bind(k,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),a.activeTexture.set(i.TEXTURE1),b?(b.texture.bind(k,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST);var M=jr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(a,i.TRIANGLES,v,At.disabled,l,Et.disabled,M,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(a,i.TRIANGLES,v,u[m.overscaledZ],l,Et.disabled,M,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),a=r.paint.get(\"background-opacity\");if(0!==a){var i=t.context,o=i.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===a&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var h=At.disabled,f=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(i.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var m=r.getCrossfadeParameters(),v=0,y=g;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Wr(b,a,t,c,{tileID:x,tileSize:l},m):Yr(b,a,n);d.draw(i,o.TRIANGLES,f,h,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)mn(t,e,r[n])},custom:function(t,e,r){var n=t.context,a=r.implementation;if(\"offscreen\"===t.renderPass){var i=a.prerender;i&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),i.call(a,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(At.disabled);var o=\"3d\"===a.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),a.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},yn=function(t,e){this.context=new Ct(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Lt.maxUnderzooming+Lt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Be,this.gpuTimers={}};yn.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,a=this.style._order;n<a.length;n+=1)this.style._layers[a[n]].resize()},yn.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,He.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,He.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var a=new t.StructArrayLayout4i8;a.emplaceBack(0,0,0,0),a.emplaceBack(t.EXTENT,0,t.EXTENT,0),a.emplaceBack(0,t.EXTENT,0,t.EXTENT),a.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(a,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var i=new t.StructArrayLayout2i4;i.emplaceBack(0,0),i.emplaceBack(1,0),i.emplaceBack(0,1),i.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(i,He.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 At({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},yn.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,St.disabled,Et.disabled,Ir(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},yn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(Mt.disabled);var a=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var i=0,o=e;i<o.length;i+=1){var s=o[i],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;a.draw(r,n.TRIANGLES,Mt.disabled,new At({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Ir(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},yn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new At({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},yn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new At({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},yn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),a=n[n.length-1].overscaledZ,i=n[0].overscaledZ-a+1;if(i>1){this.currentStencilSource=void 0,this.nextStencilID+i>256&&this.clearStencil();for(var o={},s=0;s<i;s++)o[s+a]=new At({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=i,[o,n]}return[(e={},e[a]=At.disabled,e),n]},yn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;return this._showOverdrawInspector?new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0]):\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},yn.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])},yn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},yn.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 a=this.style._order,i=this.style.sourceCaches;for(var o in i){var s=i[o];s.used&&s.prepare(this.context)}var l,c,u={},h={},f={};for(var p in i){var d=i[p];u[p]=d.getVisibleCoordinates(),h[p]=u[p].slice().reverse(),f[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var g=0;g<a.length;g++)if(this.style._layers[a[g]].is3D()){this.opaquePassCutoff=g;break}this.renderPass=\"offscreen\";for(var m=0,v=a;m<v.length;m+=1){var y=this.style._layers[v[m]];if(y.hasOffscreenPass()&&!y.isHidden(this.transform.zoom)){var x=h[y.source];(\"custom\"===y.type||x.length)&&this.renderLayer(this,i[y.source],y,x)}}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=a.length-1;this.currentLayer>=0;this.currentLayer--){var b=this.style._layers[a[this.currentLayer]],_=i[b.source],w=u[b.source];this._renderTileClippingMasks(b,w),this.renderLayer(this,_,b,w)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<a.length;this.currentLayer++){var T=this.style._layers[a[this.currentLayer]],k=i[T.source],M=(\"symbol\"===T.type?f:h)[T.source];this._renderTileClippingMasks(T,u[T.source]),this.renderLayer(this,k,T,M)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&vn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&function(t){var e=t.transform.padding;pn(t,t.transform.height-(e.top||0),3,ln),pn(t,e.bottom||0,3,cn),dn(t,e.left||0,3,un),dn(t,t.transform.width-(e.right||0),3,hn);var r=t.transform.centerPoint;!function(t,e,r,n){gn(t,e-1,r-10,2,20,n),gn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,fn)}(this),this.context.setDefault()},yn.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),vn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},yn.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)}},yn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},yn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},yn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],a=this.context.extTimerQuery,i=a.getQueryObjectEXT(n.query,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(n.query),e[r]=i}return e},yn.prototype.translatePosMatrix=function(e,r,n,a,i){if(!n[0]&&!n[1])return e;var o=i?\"map\"===a?this.transform.angle:0:\"viewport\"===a?-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 c=[i?n[0]:fe(r,n[0],this.transform.zoom),i?n[1]:fe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},yn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},yn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},yn.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},yn.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 br(this.context,yr[t],e,Zr[t],this._showOverdrawInspector)),this.cache[r]},yn.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()},yn.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)},yn.prototype.initDebugOverlayCanvas=function(){null==this.debugOverlayCanvas&&(this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512,this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,this.context.gl.RGBA))},yn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var xn=function(t,e){this.points=t,this.planes=e};xn.fromInvProjectionMatrix=function(e,r,n){var a=Math.pow(2,n),i=[[-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*a)})),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([],i[e[0]],i[e[1]]),n=t.sub([],i[e[2]],i[e[1]]),a=t.normalize([],t.cross([],r,n)),o=-t.dot(a,i[e[1]]);return a.concat(o)}));return new xn(i,o)};var bn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};bn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),a=t.clone$2(this.max),i=0;i<r.length;i++)n[i]=r[i]?this.min[i]:this.center[i],a[i]=r[i]?this.center[i]:this.max[i];return a[2]=this.max[2],new bn(n,a)},bn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},bn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},bn.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,a=0;a<e.planes.length;a++){for(var i=e.planes[a],o=0,s=0;s<r.length;s++)o+=t.dot$1(i,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 c=Number.MAX_VALUE,u=-Number.MAX_VALUE,h=0;h<e.points.length;h++){var f=e.points[h][l]-this.min[l];c=Math.min(c,f),u=Math.max(u,f)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var _n=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};_n.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},_n.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),a=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,a)},_n.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},_n.prototype.clone=function(){return new _n(this.top,this.bottom,this.left,this.right)},_n.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var wn=function(e,r,n,a,i){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===i||i,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==a?60:a,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 _n,this._posMatrixCache={},this._alignedPosMatrixCache={}},Tn={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}};wn.prototype.clone=function(){var t=new wn(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},Tn.minZoom.get=function(){return this._minZoom},Tn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Tn.maxZoom.get=function(){return this._maxZoom},Tn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Tn.minPitch.get=function(){return this._minPitch},Tn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Tn.maxPitch.get=function(){return this._maxPitch},Tn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Tn.renderWorldCopies.get=function(){return this._renderWorldCopies},Tn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Tn.worldSize.get=function(){return this.tileSize*this.scale},Tn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Tn.size.get=function(){return new t.Point(this.width,this.height)},Tn.bearing.get=function(){return-this.angle/Math.PI*180},Tn.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))},Tn.pitch.get=function(){return this._pitch/Math.PI*180},Tn.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())},Tn.fov.get=function(){return this._fov/Math.PI*180},Tn.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())},Tn.zoom.get=function(){return this._zoom},Tn.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())},Tn.center.get=function(){return this._center},Tn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Tn.padding.get=function(){return this._edgeInsets.toJSON()},Tn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Tn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},wn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},wn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},wn.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)},wn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),a=this.pointCoordinate(new t.Point(this.width,0)),i=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,a.x,i.x,o.x)),l=Math.floor(Math.max(n.x,a.x,i.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},wn.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 a=t.MercatorCoordinate.fromLngLat(this.center),i=Math.pow(2,r),o=[i*a.x,i*a.y,0],s=xn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new bn([t*i,0,0],[(t+1)*i,i,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],h=[],f=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_));if(g.zoom===f||w>3+(1<<f-g.zoom)-2&&g.zoom>=l)h.push({tileID:new t.OverscaledTileID(g.zoom===f?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var T=0;T<4;T++){var k=(m<<1)+T%2,M=(v<<1)+(T>>1);u.push({aabb:g.aabb.quadrant(T),zoom:g.zoom+1,x:k,y:M,wrap:g.wrap,fullyVisible:y})}}return h.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},wn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Tn.unmodified.get=function(){return this._unmodified},wn.prototype.zoomScale=function(t){return Math.pow(2,t)},wn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},wn.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)},wn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Tn.point.get=function(){return this.project(this.center)},wn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),a=this.pointCoordinate(this.centerPoint),i=this.locationCoordinate(e),o=new t.MercatorCoordinate(i.x-(n.x-a.x),i.y-(n.y-a.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},wn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},wn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},wn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},wn.prototype.coordinateLocation=function(t){return t.toLngLat()},wn.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 a=r[3],i=n[3],o=r[1]/a,s=n[1]/i,l=r[2]/a,c=n[2]/i,u=l===c?0:(0-l)/(c-l);return new t.MercatorCoordinate(t.number(r[0]/a,n[0]/i,u)/this.worldSize,t.number(o,s,u)/this.worldSize)},wn.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])},wn.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)))},wn.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},wn.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])},wn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,a=r?this._alignedPosMatrixCache:this._posMatrixCache;if(a[n])return a[n];var i=e.canonical,o=this.worldSize/this.zoomScale(i.z),s=i.x+Math.pow(2,i.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,i.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),a[n]=new Float32Array(l),a[n]},wn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},wn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,a,i=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;i=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-i<c.y?c.y/(o-i):0}if(this.lngRange){var f=this.lngRange;s=t.mercatorXfromLng(f[0])*this.worldSize,r=(l=t.mercatorXfromLng(f[1])*this.worldSize)-s<c.x?c.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+i)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,m=c.y/2;g-m<i&&(a=i+m),g+m>o&&(a=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===a||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==a?a:p.y))),this._unmodified=u,this._constraining=!1}},wn.prototype._calcMatrices=function(){if(this.height){var e=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height;var r=Math.PI/2+this._pitch,n=this._fov*(.5+e.y/this.height),a=Math.sin(n)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-r-n,.01,Math.PI-.01)),i=this.point,o=i.x,s=i.y,l=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,u=new Float64Array(16);t.perspective(u,this._fov,this.width/this.height,c,l),u[8]=2*-e.x/this.width,u[9]=2*e.y/this.height,t.scale(u,u,[1,-1,1]),t.translate(u,u,[0,0,-this.cameraToCenterDistance]),t.rotateX(u,u,this._pitch),t.rotateZ(u,u,this.angle),t.translate(u,u,[-o,-s,0]),this.mercatorMatrix=t.scale([],u,[this.worldSize,this.worldSize,this.worldSize]),t.scale(u,u,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=u,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,f=this.height%2/2,p=Math.cos(this.angle),d=Math.sin(this.angle),g=o-Math.round(o)+p*h+d*f,m=s-Math.round(s)+p*f+d*h,v=new Float64Array(u);if(t.translate(v,v,[g>.5?g-1:g,m>.5?m-1:m,0]),this.alignedProjMatrix=v,u=t.create(),t.scale(u,u,[this.width/2,-this.height/2,1]),t.translate(u,u,[1,-1,0]),this.labelPlaneMatrix=u,u=t.create(),t.scale(u,u,[1,-1,1]),t.translate(u,u,[-1,-1,0]),t.scale(u,u,[2/this.width,2/this.height,1]),this.glCoordMatrix=u,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(u=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=u,this._posMatrixCache={},this._alignedPosMatrixCache={}}},wn.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},wn.prototype.getCameraPoint=function(){var e=Math.tan(this._pitch)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,e))},wn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,a=r.y,i=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),a=Math.min(a,c.y),i=Math.max(i,c.x),o=Math.max(o,c.y)}return[new t.Point(n,a),new t.Point(i,a),new t.Point(i,o),new t.Point(n,o),new t.Point(n,a)]},Object.defineProperties(wn.prototype,Tn);var kn=function(e){var r,n,a,i;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=!1,a=null,i=function(){a=null,n&&(r(),a=setTimeout(i,300),n=!1)},function(){return n=!0,a||i(),a})};kn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},kn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},kn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,a=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),i=Math.pow(10,a),o=Math.round(r.lng*i)/i,s=Math.round(r.lat*i)/i,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var h=this._hashName,f=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===h?(f=!0,e+\"=\"+u):t})).filter((function(t){return t}));return f||p.push(h+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},kn.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(\"/\")},kn.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},kn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var Mn={linearity:.3,easing:t.bezier(0,0,.3,1)},An=t.extend({deceleration:2500,maxSpeed:1400},Mn),Sn=t.extend({deceleration:20,maxSpeed:1400},Mn),En=t.extend({deceleration:1e3,maxSpeed:360},Mn),Cn=t.extend({deceleration:1e3,maxSpeed:90},Mn),Ln=function(t){this._map=t,this.clear()};function Pn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function In(e,r,n){var a=n.maxSpeed,i=n.linearity,o=n.deceleration,s=t.clamp(e*i/(r/1e3),-a,a),l=Math.abs(s)/(o*i);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Ln.prototype.clear=function(){this._inertiaBuffer=[]},Ln.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Ln.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Ln.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,a=this._inertiaBuffer;n<a.length;n+=1){var i=a[n].settings;r.zoom+=i.zoomDelta||0,r.bearing+=i.bearingDelta||0,r.pitch+=i.pitchDelta||0,i.panDelta&&r.pan._add(i.panDelta),i.around&&(r.around=i.around),i.pinchAround&&(r.pinchAround=i.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=In(r.pan.mag(),o,t.extend({},An,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Pn(s,l)}if(r.zoom){var c=In(r.zoom,o,Sn);s.zoom=this._map.transform.zoom+c.amount,Pn(s,c)}if(r.bearing){var u=In(r.bearing,o,En);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),Pn(s,u)}if(r.pitch){var h=In(r.pitch,o,Cn);s.pitch=this._map.transform.pitch+h.amount,Pn(s,h)}if(s.zoom||s.bearing){var f=void 0===r.pinchAround?r.around:r.pinchAround;s.around=f?this._map.unproject(f):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var zn=function(e){function n(n,a,i,o){void 0===o&&(o={});var s=r.mousePos(a.getCanvasContainer(),i),l=a.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:i},o)),this._defaultPrevented=!1,this.target=a}e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),On=function(e){function n(n,a,i){var o=\"touchend\"===n?i.changedTouches:i.touches,s=r.touchPos(a.getCanvasContainer(),o),l=s.map((function(t){return a.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=a.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:i}),this._defaultPrevented=!1}e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),Dn=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)).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),Rn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Rn.prototype.reset=function(){delete this._mousedownPos},Rn.prototype.wheel=function(t){return this._firePreventable(new Dn(t.type,this._map,t))},Rn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new zn(t.type,this._map,t))},Rn.prototype.mouseup=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.dblclick=function(t){return this._firePreventable(new zn(t.type,this._map,t))},Rn.prototype.mouseover=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.mouseout=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.touchstart=function(t){return this._firePreventable(new On(t.type,this._map,t))},Rn.prototype.touchmove=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype.touchend=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype.touchcancel=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Rn.prototype.isEnabled=function(){return!0},Rn.prototype.isActive=function(){return!1},Rn.prototype.enable=function(){},Rn.prototype.disable=function(){};var Fn=function(t){this._map=t};Fn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Fn.prototype.mousemove=function(t){this._map.fire(new zn(t.type,this._map,t))},Fn.prototype.mousedown=function(){this._delayContextMenu=!0},Fn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new zn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Fn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new zn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Fn.prototype.isEnabled=function(){return!0},Fn.prototype.isActive=function(){return!1},Fn.prototype.enable=function(){},Fn.prototype.disable=function(){};var Bn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Nn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Bn.prototype.isEnabled=function(){return!!this._enabled},Bn.prototype.isActive=function(){return!!this._active},Bn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Bn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Bn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Bn.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 a=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 i=Math.min(a.x,n.x),o=Math.max(a.x,n.x),s=Math.min(a.y,n.y),l=Math.max(a.y,n.y);r.setTransform(this._box,\"translate(\"+i+\"px,\"+s+\"px)\"),this._box.style.width=o-i+\"px\",this._box.style.height=l-s+\"px\"}}},Bn.prototype.mouseupWindow=function(e,n){var a=this;if(this._active&&0===e.button){var i=this._startPos,o=n;if(this.reset(),r.suppressClick(),i.x!==o.x||i.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(i,o,a._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Bn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Bn.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},Bn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var jn=function(t){this.reset(),this.numTouches=t.numTouches};jn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},jn.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,a=e;n<a.length;n+=1)r._add(a[n]);return r.div(e.length)}(r),this.touches=Nn(n,r)))},jn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Nn(r,e);for(var a in this.touches){var i=n[a];(!i||i.dist(this.touches[a])>30)&&(this.aborted=!0)}}},jn.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 Un=function(t){this.singleTap=new jn(t),this.numTaps=t.numTaps,this.reset()};Un.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Un.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Un.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Un.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var a=t.timeStamp-this.lastTime<500,i=!this.lastTap||this.lastTap.dist(n)<30;if(a&&i||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Vn=function(){this._zoomIn=new Un({numTouches:1,numTaps:2}),this._zoomOut=new Un({numTouches:2,numTaps:1}),this.reset()};Vn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Vn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Vn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Vn.prototype.touchend=function(t,e,r){var n=this,a=this._zoomIn.touchend(t,e,r),i=this._zoomOut.touchend(t,e,r);return 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})}}):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})}}):void 0},Vn.prototype.touchcancel=function(){this.reset()},Vn.prototype.enable=function(){this._enabled=!0},Vn.prototype.disable=function(){this._enabled=!1,this.reset()},Vn.prototype.isEnabled=function(){return this._enabled},Vn.prototype.isActive=function(){return this._active};var qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},qn.prototype._correctButton=function(t,e){return!1},qn.prototype._move=function(t,e){return{}},qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},qn.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)},qn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},qn.prototype.enable=function(){this._enabled=!0},qn.prototype.disable=function(){this._enabled=!1,this.reset()},qn.prototype.isEnabled=function(){return this._enabled},qn.prototype.isActive=function(){return this._active};var Hn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(qn),Gn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(qn),Yn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(qn),Wn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Wn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Wn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Wn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Wn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Wn.prototype.touchcancel=function(){this.reset()},Wn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var a=Nn(n,r),i=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in a){var c=a[l],u=this._touches[l];u&&(i._add(c),o._add(c.sub(u)),s++,a[l]=c)}if(this._touches=a,!(s<this._minTouches)&&o.mag()){var h=o.div(s);if(this._sum._add(h),!(this._sum.mag()<this._clickTolerance))return{around:i.div(s),panDelta:h}}},Wn.prototype.enable=function(){this._enabled=!0},Wn.prototype.disable=function(){this._enabled=!1,this.reset()},Wn.prototype.isEnabled=function(){return this._enabled},Wn.prototype.isActive=function(){return this._active};var Zn=function(){this.reset()};function Xn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}function Jn(t,e){return Math.log(t/e)/Math.LN2}Zn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Zn.prototype._start=function(t){},Zn.prototype._move=function(t,e,r){return{}},Zn.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]]))},Zn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,a=n[1],i=Xn(r,e,n[0]),o=Xn(r,e,a);if(i&&o){var s=this._aroundCenter?null:i.add(o).div(2);return this._move([i,o],s,t)}}},Zn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var a=this._firstTwoTouches,i=a[1],o=Xn(n,e,a[0]),s=Xn(n,e,i);o&&s||(this._active&&r.suppressClick(),this.reset())}},Zn.prototype.touchcancel=function(){this.reset()},Zn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Zn.prototype.disable=function(){this._enabled=!1,this.reset()},Zn.prototype.isEnabled=function(){return this._enabled},Zn.prototype.isActive=function(){return this._active};var Kn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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(Jn(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:Jn(this._distance,r),pinchAround:e}},e}(Zn);function Qn(t,e){return 180*t.angleWith(e)/Math.PI}var $n=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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:Qn(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=Qn(t,this._startVector);return Math.abs(r)<e},e}(Zn);function ta(t){return Math.abs(t.y)>Math.abs(t.x)}var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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,ta(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),a=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,a,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+a.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,a=e.mag()>=2;if(n||a){if(!n||!a)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var i=t.y>0==e.y>0;return ta(t)&&ta(e)&&i}},e}(Zn),ra={panStep:100,bearingStep:15,pitchStep:10},na=function(){var t=ra;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function aa(t){return t*(2-t)}na.prototype.reset=function(){this._active=!1},na.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,a=0,i=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(),i=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),i=1);break;case 38:t.shiftKey?a=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?a=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:aa,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+a*e._pitchStep,offset:[-i*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},na.prototype.enable=function(){this._enabled=!0},na.prototype.disable=function(){this._enabled=!1,this.reset()},na.prototype.isEnabled=function(){return this._enabled},na.prototype.isActive=function(){return this._active};var ia=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};ia.prototype.setZoomRate=function(t){this._defaultZoomRate=t},ia.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},ia.prototype.isEnabled=function(){return!!this._enabled},ia.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},ia.prototype.isZooming=function(){return!!this._zooming},ia.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},ia.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},ia.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(),a=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":a>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(a*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()}},ia.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},ia.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())}},ia.prototype.renderFrame=function(){return this._onScrollFrame()},ia.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)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,a=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==a&&(a=1/a);var i=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(i*a))),\"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,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var h=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),f=c(h);o=t.number(l,s,f),h<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},ia.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,a=(t.browser.now()-n.start)/n.duration,i=n.easing(a+.01)-n.easing(a),o=.27/Math.sqrt(i*i+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},ia.prototype.reset=function(){this._active=!1};var oa=function(t,e){this._clickZoom=t,this._tapZoom=e};oa.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},oa.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},oa.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},oa.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var sa=function(){this.reset()};sa.prototype.reset=function(){this._active=!1},sa.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})}}},sa.prototype.enable=function(){this._enabled=!0},sa.prototype.disable=function(){this._enabled=!1,this.reset()},sa.prototype.isEnabled=function(){return this._enabled},sa.prototype.isActive=function(){return this._active};var la=function(){this._tap=new Un({numTouches:1,numTaps:1}),this.reset()};la.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},la.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))},la.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],a=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:a/128}}}else this._tap.touchmove(t,e,r)},la.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)},la.prototype.touchcancel=function(){this.reset()},la.prototype.enable=function(){this._enabled=!0},la.prototype.disable=function(){this._enabled=!1,this.reset()},la.prototype.isEnabled=function(){return this._enabled},la.prototype.isActive=function(){return this._active};var ca=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};ca.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},ca.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},ca.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},ca.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var ua=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};ua.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},ua.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},ua.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},ua.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var ha=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};ha.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\")},ha.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},ha.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},ha.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},ha.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},ha.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var fa=function(t){return t.zoom||t.drag||t.pitch||t.rotate},pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(t.Event);function da(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var ga=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Ln(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var a=this._el;this._listeners=[[a,\"touchstart\",{passive:!1}],[a,\"touchmove\",{passive:!1}],[a,\"touchend\",void 0],[a,\"touchcancel\",void 0],[a,\"mousedown\",void 0],[a,\"mousemove\",void 0],[a,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[a,\"mouseover\",void 0],[a,\"mouseout\",void 0],[a,\"dblclick\",void 0],[a,\"click\",void 0],[a,\"keydown\",{capture:!1}],[a,\"keyup\",void 0],[a,\"wheel\",{passive:!1}],[a,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var i=0,o=this._listeners;i<o.length;i+=1){var s=o[i],l=s[0];r.addEventListener(l,s[1],l===t.window.document?this.handleWindowEvent:this.handleEvent,s[2])}};ga.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var a=n[e],i=a[0];r.removeEventListener(i,a[1],i===t.window.document?this.handleWindowEvent:this.handleEvent,a[2])}},ga.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Rn(e,t));var n=e.boxZoom=new Bn(e,t);this._add(\"boxZoom\",n);var a=new Vn,i=new sa;e.doubleClickZoom=new oa(i,a),this._add(\"tapZoom\",a),this._add(\"clickZoom\",i);var o=new la;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ea;this._add(\"touchPitch\",s);var l=new Gn(t),c=new Yn(t);e.dragRotate=new ua(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Hn(t),h=new Wn(t);e.dragPan=new ca(r,u,h),this._add(\"mousePan\",u),this._add(\"touchPan\",h,[\"touchZoom\",\"touchRotate\"]);var f=new $n,p=new Kn;e.touchZoomRotate=new ha(r,p,f,o),this._add(\"touchRotate\",f,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new ia(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var g=e.keyboard=new na;this._add(\"keyboard\",g),this._add(\"blockableMapEvent\",new Fn(e));for(var m=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];m<v.length;m+=1){var y=v[m];t.interactive&&t[y]&&e[y].enable(t[y])}},ga.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},ga.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=[]}},ga.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},ga.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},ga.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},ga.prototype.isMoving=function(){return Boolean(fa(this._eventsInProgress))||this.isZooming()},ga.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},ga.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},ga.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var a=n[r];this._el.contains(a.target)&&e.push(a)}return e},ga.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,a={needsRenderFrame:!1},i={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var h=u[c],f=h.handlerName,p=h.handler,d=h.allowed;if(p.isEnabled()){var g=void 0;this._blockedByActive(o,d,f)?p.reset():p[e||t.type]&&(g=p[e||t.type](t,l,s),this.mergeHandlerResult(a,i,g,f,n),g&&g.needsRenderFrame&&this._triggerRenderFrame()),(g||p.isActive())&&(o[f]=p)}}var m={};for(var v in this._previousActiveHandlers)o[v]||(m[v]=n);this._previousActiveHandlers=o,(Object.keys(m).length||da(a))&&(this._changes.push([a,i,m]),this._triggerRenderFrame()),(Object.keys(o).length||da(a))&&this._map._stop(!0),this._updatingCamera=!1;var y=a.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},ga.prototype.mergeHandlerResult=function(e,r,n,a,i){if(n){t.extend(e,n);var o={handlerName:a,originalEvent:n.originalEvent||i};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)}},ga.prototype._applyChanges=function(){for(var e={},r={},n={},a=0,i=this._changes;a<i.length;a+=1){var o=i[a],s=o[0],l=o[1],c=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,c)}this._updateMapTransform(e,r,n),this._changes=[]},ga.prototype._updateMapTransform=function(t,e,r){var n=this._map,a=n.transform;if(!da(t))return this._fireEvents(e,r);var i=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var h=a.pointLocation(i?c.sub(i):c);s&&(a.bearing+=s),l&&(a.pitch+=l),o&&(a.zoom+=o),a.setLocationAtPoint(h,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},ga.prototype._fireEvents=function(e,r){var n=this,a=fa(this._eventsInProgress),i=fa(e),o={};for(var s in e)this._eventsInProgress[s]||(o[s+\"start\"]=e[s].originalEvent),this._eventsInProgress[s]=e[s];for(var l in!a&&i&&this._fireEvent(\"movestart\",i.originalEvent),o)this._fireEvent(l,o[l]);for(var c in e.rotate&&(this._bearingChanged=!0),i&&this._fireEvent(\"move\",i.originalEvent),e)this._fireEvent(c,e[c].originalEvent);var u,h={};for(var f in this._eventsInProgress){var p=this._eventsInProgress[f],d=p.handlerName,g=p.originalEvent;this._handlersById[d].isActive()||(delete this._eventsInProgress[f],h[f+\"end\"]=u=r[d]||g)}for(var m in h)this._fireEvent(m,h[m]);var v=fa(this._eventsInProgress);if((a||i)&&!v){this._updatingCamera=!0;var y=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),x=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};y?(x(y.bearing||this._map.getBearing())&&(y.bearing=0),this._map.easeTo(y,{originalEvent:u})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:u})),x(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},ga.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},ga.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new pa(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var ma=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)).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,a){var i={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(a=t.extend({padding:i,offset:[0,0],maxZoom:this.transform.maxZoom},a)).padding){var o=a.padding;a.padding={top:o,bottom:o,right:o,left:o}}a.padding=t.extend(i,a.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),h=c.rotate(-n*Math.PI/180),f=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(h.x,f.x),Math.max(h.y,f.y)),d=new t.Point(Math.min(h.x,f.x),Math.min(h.y,f.y)),g=p.sub(d),m=(s.width-(l.left+l.right+a.padding.left+a.padding.right))/g.x,v=(s.height-(l.top+l.bottom+a.padding.top+a.padding.bottom))/g.y;if(!(v<0||m<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(m,v)),a.maxZoom),x=t.Point.convert(a.offset),b=new t.Point(x.x+(a.padding.left-a.padding.right)/2,x.y+(a.padding.top-a.padding.bottom)/2).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(b)),zoom:y,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,a,i){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,a),a,i)},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,a=!1,i=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(a=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(i=!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)),a&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),i&&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 a=this.transform,i=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:i,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,h=\"pitch\"in e?+e.pitch:s,f=\"padding\"in e?e.padding:a.padding,p=t.Point.convert(e.offset),d=a.centerPoint.add(p),g=a.pointLocation(d),m=t.LngLat.convert(e.center||g);this._normalizeCenter(m);var v,y,x=a.project(g),b=a.project(m).sub(x),_=a.zoomScale(c-i);e.around&&(v=t.LngLat.convert(e.around),y=a.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==i,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||h!==s,this._padding=!a.isPaddingEqual(f),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(a.zoom=t.number(i,c,e)),n._rotating&&(a.bearing=t.number(o,u,e)),n._pitching&&(a.pitch=t.number(s,h,e)),n._padding&&(a.interpolatePadding(l,f,e),d=a.centerPoint.add(p)),v)a.setLocationAtPoint(v,y);else{var g=a.zoomScale(a.zoom-i),m=c>i?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=a.unproject(x.add(b.mult(e*w)).mult(g));a.setLocationAtPoint(a.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,a=this._rotating,i=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)),a&&this.fire(new t.Event(\"rotateend\",e)),i&&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 a=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(a,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var i=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,i.minZoom,i.maxZoom):o,h=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,f=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:i.padding,d=i.zoomScale(u-o),g=t.Point.convert(e.offset),m=i.centerPoint.add(g),v=i.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=i.project(v),b=i.project(y).sub(x),_=e.curve,w=Math.max(i.width,i.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var M=t.clamp(Math.min(e.minZoom,o,u),i.minZoom,i.maxZoom),A=w/i.zoomScale(M-o);_=Math.sqrt(A/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 C(t){return(Math.exp(t)-Math.exp(-t))/2}function L(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return L(P)/L(P+_*t)},z=function(t){return w*((L(P)*(C(e=P+_*t)/L(e))-C(P))/S)/k;var e},O=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(O)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;O=Math.abs(Math.log(T/w))/_,z=function(){return 0},I=function(t){return Math.exp(D*_*t)}}return e.duration=\"duration\"in e?+e.duration:1e3*O/(\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed),e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==h,this._pitching=f!==l,this._padding=!i.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var a=e*O,d=1/I(a);i.zoom=1===e?u:o+i.scaleZoom(d),n._rotating&&(i.bearing=t.number(s,h,e)),n._pitching&&(i.pitch=t.number(l,f,e)),n._padding&&(i.interpolatePadding(c,p,e),m=i.centerPoint.add(g));var v=1===e?y:i.unproject(x.add(b.mult(z(a))).mult(d));i.setLocationAtPoint(i.renderWorldCopies?v.wrap():v,m),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),va=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};va.prototype.getDefaultPosition=function(){return\"bottom-right\"},va.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},va.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},va.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\"}},va.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},va.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 a=r[n];if(a.used){var i=a.getSource();i.attribution&&t.indexOf(i.attribution)<0&&t.push(i.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)}},va.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var ya=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};ya.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},ya.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},ya.prototype.getDefaultPosition=function(){return\"bottom-left\"},ya.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},ya.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}},ya.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 xa=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};xa.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},xa.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 a=n[r];if(a.id===t)return void(a.cancelled=!0)}},xa.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 a=n[r];if(!a.cancelled&&(a.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},xa.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var ba={\"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\"},_a=t.window.HTMLImageElement,wa=t.window.HTMLElement,Ta=t.window.ImageBitmap,ka={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,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},Ma=function(n){function a(e){var r=this;if(null!=(e=t.extend({},ka,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>60)throw new Error(\"maxPitch must be less than or equal to 60\");var a=new wn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,a,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 xa,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},ba,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 wa))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 ga(this,e),this._hash=e.hash&&new kn(\"string\"==typeof e.hash&&e.hash||void 0).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 va({customAttribution:e.customAttribution})),this.addControl(new ya,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&&(a.__proto__=n),(a.prototype=Object.create(n&&n.prototype)).constructor=a;var i={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return a.prototype._getMapId=function(){return this._mapId},a.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 a=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?a.insertBefore(n,a.firstChild):a.appendChild(n),this},a.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},a.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],a=r[1];this._resizeCanvas(n,a),this.transform.resize(n,a),this.painter.resize(n,a);var i=!this._moving;return i&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),i&&this.fire(new t.Event(\"moveend\",e)),this},a.prototype.getBounds=function(){return this.transform.getBounds()},a.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},a.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},a.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\")},a.prototype.getMinZoom=function(){return this.transform.minZoom},a.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\")},a.prototype.getMaxZoom=function(){return this.transform.maxZoom},a.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\")},a.prototype.getMinPitch=function(){return this.transform.minPitch},a.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)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\")},a.prototype.getMaxPitch=function(){return this.transform.maxPitch},a.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},a.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},a.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},a.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},a.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},a.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},a.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},a.prototype._createDelegatedListener=function(t,e,r){var n,a=this;if(\"mouseenter\"===t||\"mouseover\"===t){var i=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?i||(i=!0,r.call(a,new zn(t,a,n.originalEvent,{features:o}))):i=!1},mouseout:function(){i=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(a,new zn(t,a,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(a,new zn(t,a,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=a.getLayer(e)?a.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(a,t),delete t.features)},n)}},a.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var a=this._createDelegatedListener(t,e,r);for(var i in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(a),a.delegates)this.on(i,a.delegates[i]);return this},a.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var a=this._createDelegatedListener(t,e,r);for(var i in a.delegates)this.once(i,a.delegates[i]);return this},a.prototype.off=function(t,e,r){var a=this;return void 0===r?n.prototype.off.call(this,t,e):(this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var i=n[t],o=0;o<i.length;o++){var s=i[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)a.off(l,s.delegates[l]);return i.splice(o,1),a}}}(this._delegatedListeners),this)},a.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 a=t.Point.convert(e[0]),i=t.Point.convert(e[1]);n=[a,new t.Point(i.x,a.y),i,new t.Point(a.x,i.y),a]}return this.style.queryRenderedFeatures(n,r,this.transform)},a.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},a.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))},a.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},a.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(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)},a.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},a.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var a=this._requestManager.normalizeStyleURL(e),i=this._requestManager.transformRequest(a,t.ResourceType.Style);t.getJSON(i,(function(e,a){e?n.fire(new t.ErrorEvent(e)):a&&n._updateDiff(a,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},a.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)}},a.prototype.getStyle=function(){if(this.style)return this.style.serialize()},a.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},a.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},a.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+\"'\")))},a.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 a=r[n];if(\"loaded\"!==a.state&&\"errored\"!==a.state)return!1}}return!0},a.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},a.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},a.prototype.getSource=function(t){return this.style.getSource(t)},a.prototype.addImage=function(e,r,n){void 0===n&&(n={});var a=n.pixelRatio;void 0===a&&(a=1);var i=n.sdf;void 0===i&&(i=!1);var o=n.stretchX,s=n.stretchY,l=n.content;if(this._lazyInitEmptyStyle(),r instanceof _a||Ta&&r instanceof Ta){var c=t.browser.getImageData(r);this.style.addImage(e,{data:new t.RGBAImage({width:c.width,height:c.height},c.data),pixelRatio:a,stretchX:o,stretchY:s,content:l,sdf:i,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 u=r;this.style.addImage(e,{data:new t.RGBAImage({width:r.width,height:r.height},new Uint8Array(r.data)),pixelRatio:a,stretchX:o,stretchY:s,content:l,sdf:i,version:0,userImage:u}),u.onAdd&&u.onAdd(this,e)}},a.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 a=r instanceof _a||Ta&&r instanceof Ta?t.browser.getImageData(r):r,i=a.width,o=a.height,s=a.data;return void 0===i||void 0===o?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`\"))):i!==n.data.width||o!==n.data.height?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\"))):(n.data.replace(s,!(r instanceof _a||Ta&&r instanceof Ta)),void this.style.updateImage(e,n))},a.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},a.prototype.removeImage=function(t){this.style.removeImage(t)},a.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},a.prototype.listImages=function(){return this.style.listImages()},a.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},a.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},a.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},a.prototype.getLayer=function(t){return this.style.getLayer(t)},a.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},a.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},a.prototype.getFilter=function(t){return this.style.getFilter(t)},a.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},a.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},a.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},a.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},a.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},a.prototype.getLight=function(){return this.style.getLight()},a.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},a.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},a.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},a.prototype.getContainer=function(){return this._container},a.prototype.getCanvasContainer=function(){return this._canvasContainer},a.prototype.getCanvas=function(){return this._canvas},a.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},a.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/.\")},a.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 a=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),i=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){i[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,a)}))},a.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\"},a.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 yn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},a.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},a.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},a.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},a.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},a.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},a.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},a.prototype._render=function(e){var r,n=this,a=0,i=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=i.createQueryEXT(),i.beginQueryEXT(i.TIME_ELAPSED_EXT,r),a=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 c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}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 h=t.browser.now()-a;i.endQueryEXT(i.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=i.getQueryObjectEXT(r,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:h,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var f=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(f);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}},a.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(),Aa(this._canvasContainer),Aa(this._controlContainer),Aa(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},a.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},a.prototype._onWindowOnline=function(){this._update()},a.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},i.showTileBoundaries.get=function(){return!!this._showTileBoundaries},i.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},i.showPadding.get=function(){return!!this._showPadding},i.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},i.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},i.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},i.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},i.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},i.repaint.get=function(){return!!this._repaint},i.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},i.vertices.get=function(){return!!this._vertices},i.vertices.set=function(t){this._vertices=t,this._update()},a.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},i.version.get=function(){return t.version},Object.defineProperties(a.prototype,i),a}(ma);function Aa(t){t.parentNode&&t.parentNode.removeChild(t)}var Sa={showCompass:!0,showZoom:!0,visualizePitch:!1},Ea=function(e){var n=this;this.options=t.extend({},Sa,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))};Ea.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Ea.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},Ea.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 Ca(this._map,this._compass,this.options.visualizePitch)),this._container},Ea.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},Ea.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Ea.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ca=function(e,n,a){void 0===a&&(a=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Gn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,a&&(this.mousePitch=new Yn({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 La(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var a=new t.LngLat(e.lng-360,e.lat),i=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(a).distSqr(r)<o?e=a:n.locationPoint(i).distSqr(r)<o&&(e=i)}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}Ca.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ca.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 a=this.mousePitch.mousemoveWindow(t,e);a&&a.pitchDelta&&r.setPitch(r.getPitch()+a.pitchDelta)}},Ca.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()},Ca.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ca.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)},Ca.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ca.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ca.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))},Ca.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))},Ca.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ca.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Pa={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 Ia(t,e,r){var n=t.classList;for(var a in Pa)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+a);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var za,Oa=function(e){function n(n,a){var i=this;if(e.call(this),(n instanceof t.window.HTMLElement||a)&&(n=t.extend({element:n},a)),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 c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,h=[{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\"}];u<h.length;u+=1){var f=h[u],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\",f.rx),p.setAttributeNS(null,\"ry\",f.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.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(g);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.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\"),m.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.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(c),l.appendChild(d),l.appendChild(m),l.appendChild(y),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=i._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Ia(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.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=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-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=La(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,Pa[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),Da={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},Ra=0,Fa=!1,Ba=function(e){function n(r){e.call(this),this.options=t.extend({},Da,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==za?n(za):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){n(za=\"denied\"!==t.state)})):n(za=!!t.window.navigator.geolocation),this._container},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,Ra=0,Fa=!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,a=this._map.getBearing(),i=t.extend({bearing:a},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),i,{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),a=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=a+\"px\",this._circleElement.style.height=a+\"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&&Fa)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 a=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}else{var i=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}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 Oa(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Oa({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){e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||e.originalEvent&&\"resize\"===e.originalEvent.type||(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\":Ra--,Fa=!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\"),++Ra>1?(e={maximumAge:6e5,timeout:0},Fa=!0):(e=this.options.positionOptions,Fa=!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),Na={maxWidth:100,unit:\"metric\"},ja=function(e){this.options=t.extend({},Na,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Ua(t,e,r){var n=r&&r.maxWidth||100,a=t._container.clientHeight/2,i=t.unproject([0,a]),o=t.unproject([n,a]),s=i.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?Va(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):Va(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?Va(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?Va(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Va(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Va(t,e,r,n){var a,i,o,s=(a=r,(i=Math.pow(10,(\"\"+Math.floor(a)).length-1))*(o=(o=a/i)>=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)));t.style.width=e*(s/r)+\"px\",t.innerHTML=s+\"&nbsp;\"+n}ja.prototype.getDefaultPosition=function(){return\"bottom-left\"},ja.prototype._onMove=function(){Ua(this._map,this._container,this.options)},ja.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},ja.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},ja.prototype.setUnit=function(t){this.options.unit=t,Ua(this._map,this._container,this.options)};var qa=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\")};qa.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},qa.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},qa.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},qa.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},qa.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},qa.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},qa.prototype._isFullscreen=function(){return this._fullscreen},qa.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())},qa.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 Ha={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Ga=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Ha),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.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 this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),a=t.window.document.createElement(\"body\");for(a.innerHTML=e;r=a.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return 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 popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this;if(this._map&&(this._lngLat||this._trackPointer)&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=La(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),i=this.options.anchor,o=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var a=t.Point.convert(r);return{center:a,top:a,\"top-left\":a,\"top-right\":a,bottom:a,\"bottom-left\":a,\"bottom-right\":a,left:a,right:a}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!i){var s,l=this._container.offsetWidth,c=this._container.offsetHeight;s=a.y+o.bottom.y<c?[\"top\"]:a.y>this._map.transform.height-c?[\"bottom\"]:[],a.x<l/2?s.push(\"left\"):a.x>this._map.transform.width-l/2&&s.push(\"right\"),i=0===s.length?\"bottom\":s.join(\"-\")}var u=a.add(o[i]).round();r.setTransform(this._container,Pa[i]+\" translate(\"+u.x+\"px,\"+u.y+\"px)\"),Ia(this._container,i,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented),Ya={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ma,NavigationControl:Ea,GeolocateControl:Ba,AttributionControl:va,ScaleControl:ja,FullscreenControl:qa,Popup:Ga,Marker:Oa,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(Ot)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Ot),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Ya})),r}))},{}],448:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=1<<t+1,r=new Array(e),n=0;n<e;++n)r[n]=i(t,n);return r};var n=t(\"convex-hull\");function a(t,e,r){for(var n=new Array(t),a=0;a<t;++a)n[a]=0,a===e&&(n[a]+=.5),a===r&&(n[a]+=.5);return n}function i(t,e){if(0===e||e===(1<<t+1)-1)return[];for(var r=[],i=[],o=0;o<=t;++o)if(e&1<<o){r.push(a(t,o-1,o-1)),i.push(null);for(var s=0;s<=t;++s)~e&1<<s&&(r.push(a(t,o-1,s-1)),i.push([o,s]))}var l=n(r),c=[];t:for(o=0;o<l.length;++o){var u=l[o],h=[];for(s=0;s<u.length;++s){if(!i[u[s]])continue t;h.push(i[u[s]].slice())}c.push(h)}return c}},{\"convex-hull\":135}],449:[function(t,e,r){var n=t(\"./normalize\"),a=t(\"gl-mat4/create\"),i=t(\"gl-mat4/clone\"),o=t(\"gl-mat4/determinant\"),s=t(\"gl-mat4/invert\"),l=t(\"gl-mat4/transpose\"),c={length:t(\"gl-vec3/length\"),normalize:t(\"gl-vec3/normalize\"),dot:t(\"gl-vec3/dot\"),cross:t(\"gl-vec3/cross\")},u=a(),h=a(),f=[0,0,0,0],p=[[0,0,0],[0,0,0],[0,0,0]],d=[0,0,0];function g(t,e,r,n,a){t[0]=e[0]*n+r[0]*a,t[1]=e[1]*n+r[1]*a,t[2]=e[2]*n+r[2]*a}e.exports=function(t,e,r,a,m,v){if(e||(e=[0,0,0]),r||(r=[0,0,0]),a||(a=[0,0,0]),m||(m=[0,0,0,1]),v||(v=[0,0,0,1]),!n(u,t))return!1;if(i(h,u),h[3]=0,h[7]=0,h[11]=0,h[15]=1,Math.abs(o(h)<1e-8))return!1;var y,x,b,_,w,T,k,M=u[3],A=u[7],S=u[11],E=u[12],C=u[13],L=u[14],P=u[15];if(0!==M||0!==A||0!==S){if(f[0]=M,f[1]=A,f[2]=S,f[3]=P,!s(h,h))return!1;l(h,h),y=m,b=h,_=(x=f)[0],w=x[1],T=x[2],k=x[3],y[0]=b[0]*_+b[4]*w+b[8]*T+b[12]*k,y[1]=b[1]*_+b[5]*w+b[9]*T+b[13]*k,y[2]=b[2]*_+b[6]*w+b[10]*T+b[14]*k,y[3]=b[3]*_+b[7]*w+b[11]*T+b[15]*k}else m[0]=m[1]=m[2]=0,m[3]=1;if(e[0]=E,e[1]=C,e[2]=L,function(t,e){t[0][0]=e[0],t[0][1]=e[1],t[0][2]=e[2],t[1][0]=e[4],t[1][1]=e[5],t[1][2]=e[6],t[2][0]=e[8],t[2][1]=e[9],t[2][2]=e[10]}(p,u),r[0]=c.length(p[0]),c.normalize(p[0],p[0]),a[0]=c.dot(p[0],p[1]),g(p[1],p[1],p[0],1,-a[0]),r[1]=c.length(p[1]),c.normalize(p[1],p[1]),a[0]/=r[1],a[1]=c.dot(p[0],p[2]),g(p[2],p[2],p[0],1,-a[1]),a[2]=c.dot(p[1],p[2]),g(p[2],p[2],p[1],1,-a[2]),r[2]=c.length(p[2]),c.normalize(p[2],p[2]),a[1]/=r[2],a[2]/=r[2],c.cross(d,p[1],p[2]),c.dot(p[0],d)<0)for(var I=0;I<3;I++)r[I]*=-1,p[I][0]*=-1,p[I][1]*=-1,p[I][2]*=-1;return v[0]=.5*Math.sqrt(Math.max(1+p[0][0]-p[1][1]-p[2][2],0)),v[1]=.5*Math.sqrt(Math.max(1-p[0][0]+p[1][1]-p[2][2],0)),v[2]=.5*Math.sqrt(Math.max(1-p[0][0]-p[1][1]+p[2][2],0)),v[3]=.5*Math.sqrt(Math.max(1+p[0][0]+p[1][1]+p[2][2],0)),p[2][1]>p[1][2]&&(v[0]=-v[0]),p[0][2]>p[2][0]&&(v[1]=-v[1]),p[1][0]>p[0][1]&&(v[2]=-v[2]),!0}},{\"./normalize\":450,\"gl-mat4/clone\":272,\"gl-mat4/create\":273,\"gl-mat4/determinant\":274,\"gl-mat4/invert\":278,\"gl-mat4/transpose\":289,\"gl-vec3/cross\":339,\"gl-vec3/dot\":344,\"gl-vec3/length\":354,\"gl-vec3/normalize\":361}],450:[function(t,e,r){e.exports=function(t,e){var r=e[15];if(0===r)return!1;for(var n=1/r,a=0;a<16;a++)t[a]=e[a]*n;return!0}},{}],451:[function(t,e,r){var n=t(\"gl-vec3/lerp\"),a=t(\"mat4-recompose\"),i=t(\"mat4-decompose\"),o=t(\"gl-mat4/determinant\"),s=t(\"quat-slerp\"),l=h(),c=h(),u=h();function h(){return{translate:f(),scale:f(1),skew:f(),perspective:[0,0,0,1],quaternion:[0,0,0,1]}}function f(t){return[t||0,t||0,t||0]}e.exports=function(t,e,r,h){if(0===o(e)||0===o(r))return!1;var f=i(e,l.translate,l.scale,l.skew,l.perspective,l.quaternion),p=i(r,c.translate,c.scale,c.skew,c.perspective,c.quaternion);return!(!f||!p)&&(n(u.translate,l.translate,c.translate,h),n(u.skew,l.skew,c.skew,h),n(u.scale,l.scale,c.scale,h),n(u.perspective,l.perspective,c.perspective,h),s(u.quaternion,l.quaternion,c.quaternion,h),a(t,u.translate,u.scale,u.skew,u.perspective,u.quaternion),!0)}},{\"gl-mat4/determinant\":274,\"gl-vec3/lerp\":355,\"mat4-decompose\":449,\"mat4-recompose\":452,\"quat-slerp\":501}],452:[function(t,e,r){var n={identity:t(\"gl-mat4/identity\"),translate:t(\"gl-mat4/translate\"),multiply:t(\"gl-mat4/multiply\"),create:t(\"gl-mat4/create\"),scale:t(\"gl-mat4/scale\"),fromRotationTranslation:t(\"gl-mat4/fromRotationTranslation\")},a=(n.create(),n.create());e.exports=function(t,e,r,i,o,s){return n.identity(t),n.fromRotationTranslation(t,s,e),t[3]=o[0],t[7]=o[1],t[11]=o[2],t[15]=o[3],n.identity(a),0!==i[2]&&(a[9]=i[2],n.multiply(t,t,a)),0!==i[1]&&(a[9]=0,a[8]=i[1],n.multiply(t,t,a)),0!==i[0]&&(a[8]=0,a[4]=i[0],n.multiply(t,t,a)),n.scale(t,t,r),t}},{\"gl-mat4/create\":273,\"gl-mat4/fromRotationTranslation\":276,\"gl-mat4/identity\":277,\"gl-mat4/multiply\":280,\"gl-mat4/scale\":287,\"gl-mat4/translate\":288}],453:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],454:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\"),a=t(\"mat4-interpolate\"),i=t(\"gl-mat4/invert\"),o=t(\"gl-mat4/rotateX\"),s=t(\"gl-mat4/rotateY\"),l=t(\"gl-mat4/rotateZ\"),c=t(\"gl-mat4/lookAt\"),u=t(\"gl-mat4/translate\"),h=(t(\"gl-mat4/scale\"),t(\"gl-vec3/normalize\")),f=[0,0,0];function p(t){this._components=t.slice(),this._time=[0],this.prevMatrix=t.slice(),this.nextMatrix=t.slice(),this.computedMatrix=t.slice(),this.computedInverse=t.slice(),this.computedEye=[0,0,0],this.computedUp=[0,0,0],this.computedCenter=[0,0,0],this.computedRadius=[0],this._limits=[-1/0,1/0]}e.exports=function(t){return new p((t=t||{}).matrix||[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1])};var d=p.prototype;d.recalcMatrix=function(t){var e=this._time,r=n.le(e,t),o=this.computedMatrix;if(!(r<0)){var s=this._components;if(r===e.length-1)for(var l=16*r,c=0;c<16;++c)o[c]=s[l++];else{var u=e[r+1]-e[r],f=(l=16*r,this.prevMatrix),p=!0;for(c=0;c<16;++c)f[c]=s[l++];var d=this.nextMatrix;for(c=0;c<16;++c)d[c]=s[l++],p=p&&f[c]===d[c];if(u<1e-6||p)for(c=0;c<16;++c)o[c]=f[c];else a(o,f,d,(t-e[r])/u)}var g=this.computedUp;g[0]=o[1],g[1]=o[5],g[2]=o[9],h(g,g);var m=this.computedInverse;i(m,o);var v=this.computedEye,y=m[15];v[0]=m[12]/y,v[1]=m[13]/y,v[2]=m[14]/y;var x=this.computedCenter,b=Math.exp(this.computedRadius[0]);for(c=0;c<3;++c)x[c]=v[c]-o[2+4*c]*b}},d.idle=function(t){if(!(t<this.lastT())){for(var e=this._components,r=e.length-16,n=0;n<16;++n)e.push(e[r++]);this._time.push(t)}},d.flush=function(t){var e=n.gt(this._time,t)-2;e<0||(this._time.splice(0,e),this._components.splice(0,16*e))},d.lastT=function(){return this._time[this._time.length-1]},d.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||f,n=n||this.computedUp,this.setMatrix(t,c(this.computedMatrix,e,r,n));for(var a=0,i=0;i<3;++i)a+=Math.pow(r[i]-e[i],2);a=Math.log(Math.sqrt(a)),this.computedRadius[0]=a},d.rotate=function(t,e,r,n){this.recalcMatrix(t);var a=this.computedInverse;e&&s(a,a,e),r&&o(a,a,r),n&&l(a,a,n),this.setMatrix(t,i(this.computedMatrix,a))};var g=[0,0,0];d.pan=function(t,e,r,n){g[0]=-(e||0),g[1]=-(r||0),g[2]=-(n||0),this.recalcMatrix(t);var 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p=o.map((function(t){return\"a\"+t+\"=this.shape[\"+t+\"]\"})),d=o.map((function(t){return\"c\"+t+\"=this.stride[\"+t+\"]\"}));i.push(\"proto.lo=function \"+r+\"_lo(\"+l.join(\",\")+\"){var b=this.offset,d=0,\"+p.join(\",\")+\",\"+d.join(\",\"));for(var g=0;g<e;++g)i.push(\"if(typeof i\"+g+\"==='number'&&i\"+g+\">=0){d=i\"+g+\"|0;b+=c\"+g+\"*d;a\"+g+\"-=d}\");i.push(\"return new \"+r+\"(this.data,\"+o.map((function(t){return\"a\"+t})).join(\",\")+\",\"+o.map((function(t){return\"c\"+t})).join(\",\")+\",b)}\"),i.push(\"proto.step=function \"+r+\"_step(\"+l.join(\",\")+\"){var \"+o.map((function(t){return\"a\"+t+\"=this.shape[\"+t+\"]\"})).join(\",\")+\",\"+o.map((function(t){return\"b\"+t+\"=this.stride[\"+t+\"]\"})).join(\",\")+\",c=this.offset,d=0,ceil=Math.ceil\");for(g=0;g<e;++g)i.push(\"if(typeof i\"+g+\"==='number'){d=i\"+g+\"|0;if(d<0){c+=b\"+g+\"*(a\"+g+\"-1);a\"+g+\"=ceil(-a\"+g+\"/d)}else{a\"+g+\"=ceil(a\"+g+\"/d)}b\"+g+\"*=d}\");i.push(\"return new \"+r+\"(this.data,\"+o.map((function(t){return\"a\"+t})).join(\",\")+\",\"+o.map((function(t){return\"b\"+t})).join(\",\")+\",c)}\");var m=new Array(e),v=new Array(e);for(g=0;g<e;++g)m[g]=\"a[i\"+g+\"]\",v[g]=\"b[i\"+g+\"]\";i.push(\"proto.transpose=function \"+r+\"_transpose(\"+l+\"){\"+l.map((function(t,e){return t+\"=(\"+t+\"===undefined?\"+e+\":\"+t+\"|0)\"})).join(\";\"),\"var a=this.shape,b=this.stride;return new \"+r+\"(this.data,\"+m.join(\",\")+\",\"+v.join(\",\")+\",this.offset)}\"),i.push(\"proto.pick=function \"+r+\"_pick(\"+l+\"){var a=[],b=[],c=this.offset\");for(g=0;g<e;++g)i.push(\"if(typeof i\"+g+\"==='number'&&i\"+g+\">=0){c=(c+this.stride[\"+g+\"]*i\"+g+\")|0}else{a.push(this.shape[\"+g+\"]);b.push(this.stride[\"+g+\"])}\");return i.push(\"var ctor=CTOR_LIST[a.length+1];return ctor(this.data,a,b,c)}\"),i.push(\"return function construct_\"+r+\"(data,shape,stride,offset){return new \"+r+\"(data,\"+o.map((function(t){return\"shape[\"+t+\"]\"})).join(\",\")+\",\"+o.map((function(t){return\"stride[\"+t+\"]\"})).join(\",\")+\",offset)}\"),new Function(\"CTOR_LIST\",\"ORDER\",i.join(\"\\n\"))(c[t],s)}var c={float32:[],float64:[],int8:[],int16:[],int32:[],uint8:[],uint16:[],uint32:[],array:[],uint8_clamped:[],bigint64:[],biguint64:[],buffer:[],generic:[]};e.exports=function(t,e,r,n){if(void 0===t)return(0,c.array[0])([]);\"number\"==typeof t&&(t=[t]),void 0===e&&(e=[t.length]);var o=e.length;if(void 0===r){r=new Array(o);for(var s=o-1,u=1;s>=0;--s)r[s]=u,u*=e[s]}if(void 0===n){n=0;for(s=0;s<o;++s)r[s]<0&&(n-=(e[s]-1)*r[s])}for(var h=function(t){if(a(t))return\"buffer\";if(i)switch(Object.prototype.toString.call(t)){case\"[object Float64Array]\":return\"float64\";case\"[object Float32Array]\":return\"float32\";case\"[object Int8Array]\":return\"int8\";case\"[object Int16Array]\":return\"int16\";case\"[object Int32Array]\":return\"int32\";case\"[object Uint8Array]\":return\"uint8\";case\"[object Uint16Array]\":return\"uint16\";case\"[object Uint32Array]\":return\"uint32\";case\"[object Uint8ClampedArray]\":return\"uint8_clamped\";case\"[object BigInt64Array]\":return\"bigint64\";case\"[object BigUint64Array]\":return\"biguint64\"}return Array.isArray(t)?\"array\":\"generic\"}(t),f=c[h];f.length<=o+1;)f.push(l(h,f.length-1));return(0,f[o+1])(t,e,r,n)}},{\"iota-array\":437,\"is-buffer\":439}],470:[function(t,e,r){\"use strict\";var n=t(\"double-bits\"),a=Math.pow(2,-1074);e.exports=function(t,e){if(isNaN(t)||isNaN(e))return NaN;if(t===e)return t;if(0===t)return e<0?-a:a;var r=n.hi(t),i=n.lo(t);e>t==t>0?i===-1>>>0?(r+=1,i=0):i+=1:0===i?(i=-1>>>0,r-=1):i-=1;return n.pack(i,r)}},{\"double-bits\":173}],471:[function(t,e,r){var n=Math.PI,a=c(120);function i(t,e,r,n){return[\"C\",t,e,r,n,r,n]}function o(t,e,r,n,a,i){return[\"C\",t/3+2/3*r,e/3+2/3*n,a/3+2/3*r,i/3+2/3*n,a,i]}function s(t,e,r,i,o,c,u,h,f,p){if(p)T=p[0],k=p[1],_=p[2],w=p[3];else{var d=l(t,e,-o);t=d.x,e=d.y;var g=(t-(h=(d=l(h,f,-o)).x))/2,m=(e-(f=d.y))/2,v=g*g/(r*r)+m*m/(i*i);v>1&&(r*=v=Math.sqrt(v),i*=v);var y=r*r,x=i*i,b=(c==u?-1:1)*Math.sqrt(Math.abs((y*x-y*m*m-x*g*g)/(y*m*m+x*g*g)));b==1/0&&(b=1);var _=b*r*m/i+(t+h)/2,w=b*-i*g/r+(e+f)/2,T=Math.asin(((e-w)/i).toFixed(9)),k=Math.asin(((f-w)/i).toFixed(9));(T=t<_?n-T:T)<0&&(T=2*n+T),(k=h<_?n-k:k)<0&&(k=2*n+k),u&&T>k&&(T-=2*n),!u&&k>T&&(k-=2*n)}if(Math.abs(k-T)>a){var M=k,A=h,S=f;k=T+a*(u&&k>T?1:-1);var E=s(h=_+r*Math.cos(k),f=w+i*Math.sin(k),r,i,o,0,u,A,S,[k,M,_,w])}var C=Math.tan((k-T)/4),L=4/3*r*C,P=4/3*i*C,I=[2*t-(t+L*Math.sin(T)),2*e-(e-P*Math.cos(T)),h+L*Math.sin(k),f-P*Math.cos(k),h,f];if(p)return I;E&&(I=I.concat(E));for(var z=0;z<I.length;){var O=l(I[z],I[z+1],o);I[z++]=O.x,I[z++]=O.y}return I}function l(t,e,r){return{x:t*Math.cos(r)-e*Math.sin(r),y:t*Math.sin(r)+e*Math.cos(r)}}function c(t){return t*(n/180)}e.exports=function(t){for(var e,r=[],n=0,a=0,l=0,u=0,h=null,f=null,p=0,d=0,g=0,m=t.length;g<m;g++){var v=t[g],y=v[0];switch(y){case\"M\":l=v[1],u=v[2];break;case\"A\":(v=s(p,d,v[1],v[2],c(v[3]),v[4],v[5],v[6],v[7])).unshift(\"C\"),v.length>7&&(r.push(v.splice(0,7)),v.unshift(\"C\"));break;case\"S\":var x=p,b=d;\"C\"!=e&&\"S\"!=e||(x+=x-n,b+=b-a),v=[\"C\",x,b,v[1],v[2],v[3],v[4]];break;case\"T\":\"Q\"==e||\"T\"==e?(h=2*p-h,f=2*d-f):(h=p,f=d),v=o(p,d,h,f,v[1],v[2]);break;case\"Q\":h=v[1],f=v[2],v=o(p,d,v[1],v[2],v[3],v[4]);break;case\"L\":v=i(p,d,v[1],v[2]);break;case\"H\":v=i(p,d,v[1],d);break;case\"V\":v=i(p,d,p,v[1]);break;case\"Z\":v=i(p,d,l,u)}e=y,p=v[v.length-2],d=v[v.length-1],v.length>4?(n=v[v.length-4],a=v[v.length-3]):(n=p,a=d),r.push(v)}return r}},{}],472:[function(t,e,r){r.vertexNormals=function(t,e,r){for(var n=e.length,a=new Array(n),i=void 0===r?1e-6:r,o=0;o<n;++o)a[o]=[0,0,0];for(o=0;o<t.length;++o)for(var s=t[o],l=0,c=s[s.length-1],u=s[0],h=0;h<s.length;++h){l=c,c=u,u=s[(h+1)%s.length];for(var f=e[l],p=e[c],d=e[u],g=new Array(3),m=0,v=new Array(3),y=0,x=0;x<3;++x)g[x]=f[x]-p[x],m+=g[x]*g[x],v[x]=d[x]-p[x],y+=v[x]*v[x];if(m*y>i){var b=a[c],_=1/Math.sqrt(m*y);for(x=0;x<3;++x){var w=(x+1)%3,T=(x+2)%3;b[x]+=_*(v[w]*g[T]-v[T]*g[w])}}}for(o=0;o<n;++o){b=a[o];var k=0;for(x=0;x<3;++x)k+=b[x]*b[x];if(k>i)for(_=1/Math.sqrt(k),x=0;x<3;++x)b[x]*=_;else for(x=0;x<3;++x)b[x]=0}return a},r.faceNormals=function(t,e,r){for(var n=t.length,a=new Array(n),i=void 0===r?1e-6:r,o=0;o<n;++o){for(var s=t[o],l=new Array(3),c=0;c<3;++c)l[c]=e[s[c]];var u=new Array(3),h=new Array(3);for(c=0;c<3;++c)u[c]=l[1][c]-l[0][c],h[c]=l[2][c]-l[0][c];var f=new Array(3),p=0;for(c=0;c<3;++c){var d=(c+1)%3,g=(c+2)%3;f[c]=u[d]*h[g]-u[g]*h[d],p+=f[c]*f[c]}p=p>i?1/Math.sqrt(p):0;for(c=0;c<3;++c)f[c]*=p;a[o]=f}return a}},{}],473:[function(t,e,r){\n",
+       "/*\n",
+       "object-assign\n",
+       "(c) Sindre Sorhus\n",
+       "@license MIT\n",
+       "*/\n",
+       "\"use strict\";var n=Object.getOwnPropertySymbols,a=Object.prototype.hasOwnProperty,i=Object.prototype.propertyIsEnumerable;function o(t){if(null==t)throw new TypeError(\"Object.assign cannot be called with null or undefined\");return Object(t)}e.exports=function(){try{if(!Object.assign)return!1;var t=new String(\"abc\");if(t[5]=\"de\",\"5\"===Object.getOwnPropertyNames(t)[0])return!1;for(var e={},r=0;r<10;r++)e[\"_\"+String.fromCharCode(r)]=r;if(\"0123456789\"!==Object.getOwnPropertyNames(e).map((function(t){return e[t]})).join(\"\"))return!1;var n={};return\"abcdefghijklmnopqrst\".split(\"\").forEach((function(t){n[t]=t})),\"abcdefghijklmnopqrst\"===Object.keys(Object.assign({},n)).join(\"\")}catch(t){return!1}}()?Object.assign:function(t,e){for(var r,s,l=o(t),c=1;c<arguments.length;c++){for(var u in r=Object(arguments[c]))a.call(r,u)&&(l[u]=r[u]);if(n){s=n(r);for(var h=0;h<s.length;h++)i.call(r,s[h])&&(l[s[h]]=r[s[h]])}}return l}},{}],474:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a,i,o,s,l,c){var u=e+i+c;if(h>0){var h=Math.sqrt(u+1);t[0]=.5*(o-l)/h,t[1]=.5*(s-n)/h,t[2]=.5*(r-i)/h,t[3]=.5*h}else{var f=Math.max(e,i,c);h=Math.sqrt(2*f-u+1);e>=f?(t[0]=.5*h,t[1]=.5*(a+r)/h,t[2]=.5*(s+n)/h,t[3]=.5*(o-l)/h):i>=f?(t[0]=.5*(r+a)/h,t[1]=.5*h,t[2]=.5*(l+o)/h,t[3]=.5*(s-n)/h):(t[0]=.5*(n+s)/h,t[1]=.5*(o+l)/h,t[2]=.5*h,t[3]=.5*(r-a)/h)}return t}},{}],475:[function(t,e,r){\"use strict\";e.exports=function(t){var e=(t=t||{}).center||[0,0,0],r=t.rotation||[0,0,0,1],n=t.radius||1;e=[].slice.call(e,0,3),u(r=[].slice.call(r,0,4),r);var a=new h(r,e,Math.log(n));a.setDistanceLimits(t.zoomMin,t.zoomMax),(\"eye\"in t||\"up\"in t)&&a.lookAt(0,t.eye,t.center,t.up);return a};var n=t(\"filtered-vector\"),a=t(\"gl-mat4/lookAt\"),i=t(\"gl-mat4/fromQuat\"),o=t(\"gl-mat4/invert\"),s=t(\"./lib/quatFromFrame\");function l(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function c(t,e,r,n){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2)+Math.pow(n,2))}function u(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=c(r,n,a,i);o>1e-6?(t[0]=r/o,t[1]=n/o,t[2]=a/o,t[3]=i/o):(t[0]=t[1]=t[2]=0,t[3]=1)}function h(t,e,r){this.radius=n([r]),this.center=n(e),this.rotation=n(t),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}var f=h.prototype;f.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},f.recalcMatrix=function(t){this.radius.curve(t),this.center.curve(t),this.rotation.curve(t);var e=this.computedRotation;u(e,e);var r=this.computedMatrix;i(r,e);var n=this.computedCenter,a=this.computedEye,o=this.computedUp,s=Math.exp(this.computedRadius[0]);a[0]=n[0]+s*r[2],a[1]=n[1]+s*r[6],a[2]=n[2]+s*r[10],o[0]=r[1],o[1]=r[5],o[2]=r[9];for(var l=0;l<3;++l){for(var c=0,h=0;h<3;++h)c+=r[l+4*h]*a[h];r[12+l]=-c}},f.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r},f.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t)},f.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t)},f.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var a=this.computedMatrix,i=a[1],o=a[5],s=a[9],c=l(i,o,s);i/=c,o/=c,s/=c;var u=a[0],h=a[4],f=a[8],p=u*i+h*o+f*s,d=l(u-=i*p,h-=o*p,f-=s*p);u/=d,h/=d,f/=d;var g=a[2],m=a[6],v=a[10],y=g*i+m*o+v*s,x=g*u+m*h+v*f,b=l(g-=y*i+x*u,m-=y*o+x*h,v-=y*s+x*f);g/=b,m/=b,v/=b;var _=u*e+i*r,w=h*e+o*r,T=f*e+s*r;this.center.move(t,_,w,T);var k=Math.exp(this.computedRadius[0]);k=Math.max(1e-4,k+n),this.radius.set(t,Math.log(k))},f.rotate=function(t,e,r,n){this.recalcMatrix(t),e=e||0,r=r||0;var a=this.computedMatrix,i=a[0],o=a[4],s=a[8],u=a[1],h=a[5],f=a[9],p=a[2],d=a[6],g=a[10],m=e*i+r*u,v=e*o+r*h,y=e*s+r*f,x=-(d*y-g*v),b=-(g*m-p*y),_=-(p*v-d*m),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,M=k[0],A=k[1],S=k[2],E=k[3],C=M*w+E*x+A*_-S*b,L=A*w+E*b+S*x-M*_,P=S*w+E*_+M*b-A*x,I=E*w-M*x-A*b-S*_;if(n){x=p,b=d,_=g;var z=Math.sin(n)/l(x,b,_);x*=z,b*=z,_*=z,I=I*(w=Math.cos(e))-(C=C*w+I*x+L*_-P*b)*x-(L=L*w+I*b+P*x-C*_)*b-(P=P*w+I*_+C*b-L*x)*_}var O=c(C,L,P,I);O>1e-6?(C/=O,L/=O,P/=O,I/=O):(C=L=P=0,I=1),this.rotation.set(t,C,L,P,I)},f.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var i=this.computedMatrix;a(i,e,r,n);var o=this.computedRotation;s(o,i[0],i[1],i[2],i[4],i[5],i[6],i[8],i[9],i[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},f.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},f.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var a=n[15];if(Math.abs(a)>1e-6){var i=n[12]/a,l=n[13]/a,c=n[14]/a;this.recalcMatrix(t);var h=Math.exp(this.computedRadius[0]);this.center.set(t,i-n[2]*h,l-n[6]*h,c-n[10]*h),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},f.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},f.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},f.getDistanceLimits=function(t){var e=this.radius.bounds;return 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+       "/*!\n",
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h=e.linesIntersect(o,s,c,u);if(!1===h){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var f=e.pointsSame(o,c),p=e.pointsSame(s,u);if(f&&p)return n;var d=!f&&e.pointBetween(o,c,u),g=!p&&e.pointBetween(s,c,u);if(f)return g?l(n,s):l(t,u),n;d&&(p||(g?l(n,s):l(t,u)),l(n,o))}else 0===h.alongA&&(-1===h.alongB?l(t,c):0===h.alongB?l(t,h.pt):1===h.alongB&&l(t,u)),0===h.alongB&&(-1===h.alongA?l(n,o):0===h.alongA?l(n,h.pt):1===h.alongA&&l(n,s));return!1}for(var h=[];!i.isEmpty();){var f=i.getHead();if(r&&r.vert(f.pt[0]),f.isStart){r&&r.segmentNew(f.seg,f.primary);var p=c(f),d=p.before?p.before.ev:null,g=p.after?p.after.ev:null;function m(){if(d){var t=u(f,d);if(t)return t}return!!g&&u(f,g)}r&&r.tempStatus(f.seg,!!d&&d.seg,!!g&&g.seg);var v,y=m();if(y){var x;if(t)(x=null===f.seg.myFill.below||f.seg.myFill.above!==f.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else 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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 sampler2D dashPattern;\\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\\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) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, 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=a}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:a,miter:e}},m.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},m.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()},m.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>m.precisionThreshold||e.scale[1]*e.viewport.height>m.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=m.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},m.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,h){var d=e.passes[h];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 mode\",miterLimit:\"miterlimit miterLimit\",dashes:\"dash dashes dasharray dash-array dashArray\",color:\"color colour stroke colors colours stroke-color strokeColor\",fill:\"fill fill-color fillColor\",opacity:\"alpha opacity\",overlay:\"overlay crease overlap intersect\",close:\"closed close closed-path closePath\",range:\"range dataBox\",viewport:\"viewport viewBox\",hole:\"holes hole hollow\"}),d||(e.passes[h]=d={id:h,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\"linear\",min:\"linear\"}),colorBuffer:r.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array}),positionBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array})},t=i({},m.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,h<m.maxLines&&(d.depth=2*(m.maxLines-1-h%m.maxLines)/m.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=g(t.viewport)),d.viewport||(d.viewport=g([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var v,y;if(t.positions.x&&t.positions.y){var x=t.positions.x,b=t.positions.y;y=d.count=Math.max(x.length,b.length),v=new Float64Array(2*y);for(var _=0;_<y;_++)v[2*_]=x[_],v[2*_+1]=b[_]}else v=l(t.positions,\"float64\"),y=d.count=Math.floor(v.length/2);var w=d.bounds=a(v,2);if(d.fill){for(var T=[],k={},M=0,A=0,S=0,E=d.count;A<E;A++){var C=v[2*A],L=v[2*A+1];isNaN(C)||isNaN(L)||null==C||null==L?(C=v[2*M],L=v[2*M+1],k[A]=M):M=A,T[S++]=C,T[S++]=L}for(var P=c(T,d.hole||[]),I=0,z=P.length;I<z;I++)null!=k[P[I]]&&(P[I]=k[P[I]]);d.triangles=P}var O=new Float64Array(v);u(O,2,w);var D=new Float64Array(2*y+6);d.close?v[0]===v[2*y-2]&&v[1]===v[2*y-1]?(D[0]=O[2*y-4],D[1]=O[2*y-3]):(D[0]=O[2*y-2],D[1]=O[2*y-1]):(D[0]=O[0],D[1]=O[1]),D.set(O,2),d.close?v[0]===v[2*y-2]&&v[1]===v[2*y-1]?(D[2*y+2]=O[2],D[2*y+3]=O[3],d.count-=1):(D[2*y+2]=O[0],D[2*y+3]=O[1],D[2*y+4]=O[2],D[2*y+5]=O[3]):(D[2*y+2]=O[2*y-2],D[2*y+3]=O[2*y-1],D[2*y+4]=O[2*y-2],D[2*y+5]=O[2*y-1]),d.positionBuffer(f(D)),d.positionFractBuffer(p(D))}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var R=d.bounds,F=R[2]-R[0],B=R[3]-R[1],N=d.range[2]-d.range[0],j=d.range[3]-d.range[1];d.scale=[F/N,B/j],d.translate=[-d.range[0]/N+R[0]/N||0,-d.range[1]/j+R[1]/j||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var U,V=0;if(!t.dashes||t.dashes.length<2)V=1,U=new Uint8Array([255,255,255,255,255,255,255,255]);else{V=0;for(var q=0;q<t.dashes.length;++q)V+=t.dashes[q];U=new Uint8Array(V*m.dashMult);for(var H=0,G=255,Y=0;Y<2;Y++)for(var W=0;W<t.dashes.length;++W){for(var Z=0,X=t.dashes[W]*m.dashMult*.5;Z<X;++Z)U[H++]=G;G^=255}}d.dashLength=V,d.dashTexture({channels:1,data:U,width:U.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var J=d.count,K=t.color;K||(K=\"transparent\");var Q=new Uint8Array(4*J+4);if(Array.isArray(K)&&\"number\"!=typeof K[0]){for(var $=0;$<J;$++){var tt=n(K[$],\"uint8\");Q.set(tt,4*$)}Q.set(n(K[0],\"uint8\"),4*J)}else for(var et=n(K,\"uint8\"),rt=0;rt<J+1;rt++)Q.set(et,4*rt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:Q})}}else e.passes[h]=null})),t.length<this.passes.length){for(var h=t.length;h<this.passes.length;h++){var d=this.passes[h];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var v=[],y=0;y<this.passes.length;y++)null!==this.passes[y]&&v.push(this.passes[y]);return this.passes=v,this}},m.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},{\"array-bounds\":70,\"array-normalize\":71,\"color-normalize\":125,earcut:177,\"es6-weak-map\":233,\"flatten-vertex-data\":244,glslify:413,\"object-assign\":473,\"parse-rect\":478,\"pick-by-alias\":485,\"to-float32\":549}],510:[function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){if(\"undefined\"==typeof Symbol||!(Symbol.iterator in Object(t)))return;var r=[],n=!0,a=!1,i=void 0;try{for(var o,s=t[Symbol.iterator]();!(n=(o=s.next()).done)&&(r.push(o.value),!e||r.length!==e);n=!0);}catch(t){a=!0,i=t}finally{try{n||null==s.return||s.return()}finally{if(a)throw i}}return r}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function a(t){return function(t){if(Array.isArray(t))return o(t)}(t)||function(t){if(\"undefined\"!=typeof Symbol&&Symbol.iterator in Object(t))return Array.from(t)}(t)||i(t)||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.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return o(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?o(t,e):void 0}}function o(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var s=t(\"color-normalize\"),l=t(\"array-bounds\"),c=t(\"color-id\"),u=t(\"@plotly/point-cluster\"),h=t(\"object-assign\"),f=t(\"glslify\"),p=t(\"pick-by-alias\"),d=t(\"update-diff\"),g=t(\"flatten-vertex-data\"),m=t(\"is-iexplorer\"),v=t(\"to-float32\"),y=t(\"parse-rect\"),x=b;function b(t,e){var r=this;if(!(this instanceof b))return new b(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,a=(t=e.regl)._gl,i=[];this.tooManyColors=m,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),h(this,{regl:t,gl:a,groups:[],markerCache:[null],markerTextures:[null],palette:i,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:a.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,pixelRatio:t.context(\"pixelRatio\"),palette:n,paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),opacity:t.prop(\"opacity\"),marker:t.prop(\"markerTexture\")},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?i.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?i.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=h({},o);s.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nuniform sampler2D marker;\\nuniform float opacity;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(marker, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= 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 vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform float pixelRatio;\\nuniform bool constPointSize;\\nuniform sampler2D palette;\\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(palette,\\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 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=h({},o);l.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\n\\nuniform float opacity;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.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 vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio;\\nuniform bool constPointSize;\\nuniform sampler2D palette;\\nuniform vec2 paletteSize;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\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 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var a=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 i=0;i<r.length;i++)this.drawItem(i,r[i]);else a.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var i=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&i.push.apply(i,a(this.getMarkerDrawOptions(o,n,e)));i.length&&this.drawMarker(i)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var a=e.range,i=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!i)return r?[h({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[h({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],f=i.range(a,{lod:!0,px:[(a[2]-a[0])/o.width,(a[3]-a[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),g=0;g<r.length;g++){var m=r[g];d[m]=p?p[m]:1}l.subdata(d)}for(var v=f.length;v--;){var y=n(f[v],2),x=y[0],b=y[1];u.push(h({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.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 a=this.groups,i=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,f=this.palette;this.groups=a=r.map((function(e,r){var n=a[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=p(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 enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(a[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=h({},b.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,a=e.positionBuffer,i=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=g(t,\"float64\");var c=e.count=Math.floor(t.length/2),h=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=h),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:h}):n&&n.length&&(e.tree=n),e.tree){var f={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(f):e.elements=o.elements(f)}return a({data:v.float(t),usage:\"dynamic\"}),i({data:v.fract(t),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var a=r.activation;if(a.forEach((function(t){return t&&t.destroy&&t.destroy()})),a.length=0,e&&\"number\"!=typeof e[0]){for(var i=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);i[c]||(i[c]=new Uint8Array(r.count)),i[c][s]=1}for(var u=0;u<i.length;u++)if(i[u]){var h={data:i[u],type:\"uint8\",usage:\"static\"};a[u]?a[u](h):a[u]=o.buffer(h),a[u].data=i[u]}}else{a[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[i.drawingBufferWidth,i.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,M=_.sizeBuffer,A=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)A[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),A[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);M({data:A,usage:\"dynamic\"})}if(x){var E,C=n,L=C.count,P=C.color,I=C.borderColor,z=C.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*L);for(var O=0;O<L;O++){var D=P[O];E[8*O]=f[4*D],E[8*O+1]=f[4*D+1],E[8*O+2]=f[4*D+2],E[8*O+3]=f[4*D+3];var R=I[O];E[8*O+4]=f[4*R],E[8*O+5]=f[4*R+1],E[8*O+6]=f[4*R+2],E[8*O+7]=f[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*L+2);for(var F=0;F<L;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}z({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,a=this.markerCache,i=null==t?0:a.indexOf(t);if(i>=0)return i;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return i=r.length,a.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),i},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var a=[];if(\"number\"==typeof t[0]){var i=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)i.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)i.push(t.subarray(l,l+4));t=i}for(var u=0;u<t.length;u++){var h=t[u];h=s(h,\"uint8\");var f=c(h,!1);if(null==e[f]){var p=r.length;e[f]=Math.floor(p/4),r[p]=h[0],r[p+1]=h[1],r[p+2]=h[2],r[p+3]=h[3]}a[u]=e[f]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===a.length?a[0]:a},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var a=.25*(t=t.slice()).length%e;a<n*e;a++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return 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+       "/*!\n",
+       " * repeat-string <https://github.com/jonschlinkert/repeat-string>\n",
+       " *\n",
+       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
+       " * Licensed under the MIT License.\n",
+       " */\n",
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o=(i+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[i],l=e[i+4],h=e[i+8];if(n){var f=Math.abs(s),p=Math.abs(l),d=Math.abs(h),g=Math.max(f,p,d);f===g?(s=s<0?-1:1,l=h=0):d===g?(h=h<0?-1:1,s=l=0):(l=l<0?-1:1,s=h=0)}else{var m=c(s,l,h);s/=m,l/=m,h/=m}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*h,T=c(x-=s*w,b-=l*w,_-=h*w),k=l*(_/=T)-h*(b/=T),M=h*(x/=T)-s*_,A=s*b-l*x,S=c(k,M,A);if(k/=S,M/=S,A/=S,this.center.jump(t,H,G,Y),this.radius.idle(t),this.up.jump(t,s,l,h),this.right.jump(t,x,b,_),2===i){var E=e[1],C=e[5],L=e[9],P=E*x+C*b+L*_,I=E*k+C*M+L*A;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var z=e[2],O=e[6],D=e[10],R=z*s+O*l+D*h,F=z*x+O*b+D*_,B=z*k+O*M+D*A;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;a(V,e);var q=V[15],H=V[12]/q,G=V[13]/q,Y=V[14]/q,W=Math.exp(this.computedRadius[0]);this.center.jump(t,H-N*W,G-j*W,Y-U*W)},p.lastT=function(){return 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i=Object.getOwnPropertyNames,o=Object.defineProperty,s=Object.isExtensible,l=\"weakmap:ident:\"+Math.random()+\"___\";if(\"undefined\"!=typeof crypto&&\"function\"==typeof crypto.getRandomValues&&\"function\"==typeof ArrayBuffer&&\"function\"==typeof Uint8Array){var c=new ArrayBuffer(25),u=new Uint8Array(c);crypto.getRandomValues(u),l=\"weakmap:rand:\"+Array.prototype.map.call(u,(function(t){return(t%36).toString(36)})).join(\"\")+\"___\"}if(o(Object,\"getOwnPropertyNames\",{value:function(t){return i(t).filter(m)}}),\"getPropertyNames\"in Object){var h=Object.getPropertyNames;o(Object,\"getPropertyNames\",{value:function(t){return h(t).filter(m)}})}!function(){var t=Object.freeze;o(Object,\"freeze\",{value:function(e){return v(e),t(e)}});var e=Object.seal;o(Object,\"seal\",{value:function(t){return v(t),e(t)}});var r=Object.preventExtensions;o(Object,\"preventExtensions\",{value:function(t){return v(t),r(t)}})}();var f=!1,p=0,d=function(){this instanceof d||x();var 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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Coptic\",jdEpoch:1825029.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Coptic\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Thout\",\"Paopi\",\"Hathor\",\"Koiak\",\"Tobi\",\"Meshir\",\"Paremhat\",\"Paremoude\",\"Pashons\",\"Paoni\",\"Epip\",\"Mesori\",\"Pi Kogi Enavot\"],monthNamesShort:[\"Tho\",\"Pao\",\"Hath\",\"Koi\",\"Tob\",\"Mesh\",\"Pat\",\"Pad\",\"Pash\",\"Pao\",\"Epi\",\"Meso\",\"PiK\"],dayNames:[\"Tkyriaka\",\"Pesnau\",\"Pshoment\",\"Peftoou\",\"Ptiou\",\"Psoou\",\"Psabbaton\"],dayNamesShort:[\"Tky\",\"Pes\",\"Psh\",\"Pef\",\"Pti\",\"Pso\",\"Psa\"],dayNamesMin:[\"Tk\",\"Pes\",\"Psh\",\"Pef\",\"Pt\",\"Pso\",\"Psa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return(t=a.year())<0&&t++,a.day()+30*(a.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,a=e-30*(n-1)+1;return this.newDate(r,n,a)}}),n.calendars.coptic=i},{\"../main\":593,\"object-assign\":473}],581:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Discworld\",jdEpoch:1721425.5,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((a.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year()+(a.year()<0?1:0),e=a.month(),(r=a.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=i},{\"../main\":593,\"object-assign\":473}],582:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new 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i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(a)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(a)%10-3]}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year(),e=a.month(),r=a.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),a=Math.floor((e-n)/30.6001),i=a-Math.floor(a<14?1:13),o=r-Math.floor(i>2?4716:4715),s=e-n-Math.floor(30.6001*a);return o<=0&&o--,this.newDate(o,i,s)}}),n.calendars.julian=i},{\"../main\":593,\"object-assign\":473}],586:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate).toJD(),i=this._toHaab(a),o=this._toTzolkin(a);return{haabMonthName:this.local.haabMonths[i[0]-1],haabMonth:i[0],haabDay:i[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return a.day()+20*a.month()+360*a.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=i},{\"../main\":593,\"object-assign\":473}],587:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");a(i.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidMonth);(t=a.year())<0&&t++;for(var i=a.day(),s=1;s<a.month();s++)i+=this.daysPerMonth[s-1];return i+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=i},{\"../main\":593,\"object-assign\":473}],588:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=i.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],i.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),a=e.dayOfYear(),i=r+56;this._createMissingCalendarData(i);for(var o=9,s=this.NEPALI_CALENDAR_DATA[i][0],l=this.NEPALI_CALENDAR_DATA[i][o]-s+1;a>l;)++o>12&&(o=1,i++),l+=this.NEPALI_CALENDAR_DATA[i][o];var c=this.NEPALI_CALENDAR_DATA[i][o]-(l-a);return this.newDate(i,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29,29,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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Persian\",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Day\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Day\",\"Bah\",\"Esf\"],dayNames:[\"Yekshambe\",\"Doshambe\",\"Seshambe\",\"Ch\\xe6harshambe\",\"Panjshambe\",\"Jom'e\",\"Shambe\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Ch\\xe6\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t-(t>=0?474:473),s=474+o(i,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(i/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),a=2820;if(1029982!==n){var i=Math.floor(n/366),s=o(n,366);a=Math.floor((2134*i+2816*s+2815)/1028522)+i+1}var l=a+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),h=t-this.toJD(l,u,1)+1;return this.newDate(l,u,h)}}),n.calendars.persian=i,n.calendars.jalali=i},{\"../main\":593,\"object-assign\":473}],590:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":593,\"object-assign\":473}],591:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":593,\"object-assign\":473}],592:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,a=0,i=0;i<o.length;i++){if(o[i]>r)return o[a]-o[a-1];a++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate),i=12*(a.year()-1)+a.month()-15292;return a.day()+o[i-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var a=r+15292,i=Math.floor((a-1)/12),s=i+1,l=a-12*i,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var a=n.baseCalendar.prototype.isValid.apply(this,arguments);return a&&(a=(t=null!=t.year?t.year:t)>=1276&&t<=1500),a},_validate:function(t,e,r,a){var i=n.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw a.replace(/\\{0\\}/,this.local.name);return i}}),n.calendars.ummalqura=i;var 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n=t(\"object-assign\");function a(){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 i(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(c.local.invalidDate||c.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(a.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,a){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,a):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=\"\",a=0;r>0;){var i=r%10;n=(0===i?\"\":t[i]+e[a])+n,a++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(i.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(c.local.invalidDate||c.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(c.local.differentCalendars||c.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,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.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,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.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,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.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),a=t.calendar().fromJD(n);return this._validateLevel--,[a.year(),a.month(),a.day()]}try{var i=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);a=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(i,o)&&(o=this.newDate(i,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(i)),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)i--,o+=t.monthsInYear(i);for(var e=t.monthsInYear(i);o>e-1+t.minMonth;)i++,o-=e,e=t.monthsInYear(i)}(this),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o))));var s=[i,this.fromMonthOfYear(i,o),a];return this._validateLevel--,s}catch(t){throw 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l,c,u=t._fullLayout.annotations,h=e._id.charAt(0),f=0;f<u.length;f++)l=u[f],c=\"annotations[\"+f+\"].\",l[h+\"ref\"]===e._id&&p(h),l[\"a\"+h+\"ref\"]===e._id&&p(\"a\"+h);function p(t){var r=l[t],s=null;s=o?a(r,e.range):Math.pow(10,r),n(s)||(s=null),i(c+t,s)}}},{\"../../lib/to_log_range\":775,\"fast-isnumeric\":241}],603:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function i(r,a){return n.coerce(t,e,s,r,a)}var l=i(\"visible\"),c=i(\"clicktoshow\");if(l||c){o(t,e,r,i);for(var u=e.showarrow,h=[\"x\",\"y\"],f=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=h[d],m=a.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==m)a.getFromId(p,m)._annIndices.push(e._index);if(a.coercePosition(e,p,i,m,g,.5),u){var v=\"a\"+g,y=a.coerceRef(t,e,p,v,\"pixel\");\"pixel\"!==y&&y!==m&&(y=e[v]=\"pixel\");var 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S={x:{},y:{}},E=+e.textangle||0,C=x._infolayer.append(\"g\").classed(v,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),L=C.append(\"g\").classed(\"annotation-text-g\",!0),P=_[e.showarrow?\"annotationTail\":\"annotationPosition\"],I=e.captureevents||_.annotationText||P,z=L.append(\"g\").style(\"pointer-events\",I?\"all\":null).call(f,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",q(n.event))}));e.hovertext&&z.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,a=this.getBoundingClientRect(),i=t.getBoundingClientRect();u.loneHover({x0:a.left-i.left,x1:a.right-i.left,y:(a.top+a.bottom)/2-i.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:x._hoverlayer.node(),outerContainer:x._paper.node(),gd:t})})).on(\"mouseout\",(function(){u.loneUnhover(x._hoverlayer.node())}));var O=e.borderwidth,D=e.borderpad,R=O+D,F=z.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",O+\"px\").call(l.stroke,e.bordercolor).call(l.fill,e.bgcolor),B=e.width||e.height,N=x._topclips.selectAll(\"#\"+A).data(B?[0]:[]);N.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",A).append(\"rect\"),N.exit().remove();var j=e.font,U=x._meta?o.templateString(e.text,x._meta):e.text,V=z.append(\"text\").classed(\"annotation-text\",!0).text(U);_.annotationText?V.call(h.makeEditable,{delegate:z,gd:t}).call(H).on(\"edit\",(function(r){e.text=r,this.call(H),k(\"text\",r),s&&s.autorange&&T(s._name+\".autorange\",!0),m&&m.autorange&&T(m._name+\".autorange\",!0),a.call(\"_guiRelayout\",t,M())})):V.call(H)}else n.selectAll(\"#\"+A).remove();function q(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return i&&(n.subplotId=i),n}function H(r){return 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dt=0,gt=0;if(\"left\"!==e.align&&(dt=(w-v)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(gt=(I-y)*(\"middle\"===e.valign?.5:1)),u)n.select(\"svg\").attr({x:R+dt-1,y:R+gt}).call(c.setClipUrl,B?A:null,t);else{var mt=R+gt-d.top,vt=R+dt-d.left;V.call(h.positionText,vt,mt).call(c.setClipUrl,B?A:null,t)}N.select(\"rect\").call(c.setRect,R,R,w,I),F.call(c.setRect,O/2,O/2,D-O,j-O),z.call(c.setTranslate,Math.round(S.x.text-D/2),Math.round(S.y.text-j/2)),L.attr({transform:\"rotate(\"+E+\",\"+S.x.text+\",\"+S.y.text+\")\"});var yt,xt=function(r,n){C.selectAll(\".annotation-arrow-g\").remove();var u=S.x.head,h=S.y.head,f=S.x.tail+r,d=S.y.tail+n,v=S.x.text+r,y=S.y.text+n,x=o.rotationXYMatrix(E,v,y),w=o.apply2DTransform(x),A=o.apply2DTransform2(x),P=+F.attr(\"width\"),I=+F.attr(\"height\"),O=v-.5*P,D=O+P,R=y-.5*I,B=R+I,N=[[O,R,O,B],[O,B,D,B],[D,B,D,R],[D,R,O,R]].map(A);if(!N.reduce((function(t,e){return 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n=t(\"../annotations/attributes\"),a=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../plot_api/plot_template\").templatedArray;e.exports=a(i(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},{\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../annotations/attributes\":598}],608:[function(t,e,r){\"use 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n.coerce(t,e,s,r,a)}function c(t){var n=t+\"axis\",i={_fullLayout:{}};return i._fullLayout[n]=r[n],a.coercePosition(e,i,l,t,t,.5)}l(\"visible\")&&(o(t,e,i.fullLayout,l),c(\"x\"),c(\"y\"),c(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}e.exports=function(t,e,r){i(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},{\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/cartesian/axes\":798,\"../annotations/common_defaults\":601,\"./attributes\":607}],610:[function(t,e,r){\"use strict\";var n=t(\"../annotations/draw\").drawRaw,a=t(\"../../plots/gl3d/project\"),i=[\"x\",\"y\",\"z\"];e.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],c=!1,u=0;u<3;u++){var h=i[u],f=l[h],p=e[h+\"axis\"].r2fraction(f);if(p<0||p>1){c=!0;break}}c?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=a(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},{\"../../plots/gl3d/project\":849,\"../annotations/draw\":604}],611:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\");e.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:t(\"./attributes\")}}},layoutAttributes:t(\"./attributes\"),handleDefaults:t(\"./defaults\"),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(!r)return;for(var i=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var 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This does not set the calendar for\",\"interpreting data on this axis, that's specified in the trace\",\"or via the global `layout.calendar`\"].join(\" \"));e.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:m,bar:m,box:m,heatmap:m,contour:m,histogram:m,histogram2d:m,histogram2dcontour:m,scatter3d:v,surface:v,mesh3d:v,scattergl:m,ohlc:g,candlestick:g},layout:{calendar:p([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:y},yaxis:{calendar:y},scene:{xaxis:{calendar:y},yaxis:{calendar:y},zaxis:{calendar:y}},polar:{radialaxis:{calendar:y}}},transforms:{filter:{valuecalendar:p([\"Sets the calendar system to use for `value`, if it is a date.\"].join(\" \")),targetcalendar:p([\"Sets the calendar system to use for `target`, if it is an\",\"array of dates. If `target` is a string (eg *x*) we use the\",\"corresponding trace attribute (eg `xcalendar`) if it exists,\",\"even if `targetcalendar` is provided.\"].join(\" \"))}}},layoutAttributes:l,handleDefaults:c,handleTraceDefaults:function(t,e,r,n){for(var a=0;a<r.length;a++)c(t,e,r[a]+\"calendar\",n.calendar)},CANONICAL_SUNDAY:{chinese:\"2000-01-02\",coptic:\"2000-01-03\",discworld:\"2000-01-03\",ethiopian:\"2000-01-05\",hebrew:\"5000-01-01\",islamic:\"1000-01-02\",julian:\"2000-01-03\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-05\",nepali:\"2000-01-05\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-04\",thai:\"2000-01-04\",ummalqura:\"1400-01-06\"},CANONICAL_TICK:{chinese:\"2000-01-01\",coptic:\"2000-01-01\",discworld:\"2000-01-01\",ethiopian:\"2000-01-01\",hebrew:\"5000-01-01\",islamic:\"1000-01-01\",julian:\"2000-01-01\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-01\",nepali:\"2000-01-01\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-01\",thai:\"2000-01-01\",ummalqura:\"1400-01-01\"},DFLTRANGE:{chinese:[\"2000-01-01\",\"2001-01-01\"],coptic:[\"1700-01-01\",\"1701-01-01\"],discworld:[\"1800-01-01\",\"1801-01-01\"],ethiopian:[\"2000-01-01\",\"2001-01-01\"],hebrew:[\"5700-01-01\",\"5701-01-01\"],islamic:[\"1400-01-01\",\"1401-01-01\"],julian:[\"2000-01-01\",\"2001-01-01\"],mayan:[\"5200-01-01\",\"5201-01-01\"],nanakshahi:[\"0500-01-01\",\"0501-01-01\"],nepali:[\"2000-01-01\",\"2001-01-01\"],persian:[\"1400-01-01\",\"1401-01-01\"],jalali:[\"1400-01-01\",\"1401-01-01\"],taiwan:[\"0100-01-01\",\"0101-01-01\"],thai:[\"2500-01-01\",\"2501-01-01\"],ummalqura:[\"1400-01-01\",\"1401-01-01\"]},getCal:f,worldCalFmt:function(t,e,r){for(var 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a=t.map((function(t){return{color:t.color||h.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,eventData:t.eventData||!1,hovertemplateLabels:t.hovertemplateLabels||!1}})),i=n.select(e.container),o=e.outerContainer?n.select(e.outerContainer):i,s={hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||h.background,container:i,outerContainer:o},l=E(a,s,e.gd),c=0,u=0;return l.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<c?c-n+5:0,c=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)})).each((function(t){t.offset-=u})),L(l,s.rotateLabels),r?l:l.node()};var S=/<extra>([\\s\\S]*)<\\/extra>/;function E(t,e,r){var a=r._fullLayout,i=e.hovermode,s=e.rotateLabels,c=e.bgColor,f=e.container,p=e.outerContainer,d=e.commonLabelOpts||{},b=e.fontFamily||m.HOVERFONT,_=e.fontSize||m.HOVERFONTSIZE,w=t[0],T=w.xa,S=w.ya,E=\"y\"===i.charAt(0)?\"yLabel\":\"xLabel\",L=w[E],P=(String(L)||\"\").split(\" \")[0],I=p.node().getBoundingClientRect(),z=I.top,O=I.width,D=I.height,R=void 0!==L&&w.distance<=e.hoverdistance&&(\"x\"===i||\"y\"===i);if(R){var F,B,N=!0;for(F=0;F<t.length;F++)if(N&&void 0===t[F].zLabel&&(N=!1),B=t[F].hoverinfo||t[F].trace.hoverinfo){var j=Array.isArray(B)?B:B.split(\"+\");if(-1===j.indexOf(\"all\")&&-1===j.indexOf(i)){R=!1;break}}N&&(R=!1)}var U=f.selectAll(\"g.axistext\").data(R?[0]:[]);function V(t){return t.filter((function(t){return void 0!==t.zLabelVal||(t[E]||\"\").split(\" \")[0]===P}))}if(U.enter().append(\"g\").classed(\"axistext\",!0),U.exit().remove(),U.each((function(){var 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t=n.select(this);t.append(\"rect\").call(h.fill,h.addOpacity(c,.8)),t.append(\"text\").classed(\"name\",!0),t.append(\"path\").style(\"stroke-width\",\"1px\"),t.append(\"text\").classed(\"nums\",!0).call(u.font,b,_)})),it.exit().remove(),it.each((function(t){var e=n.select(this).attr(\"transform\",\"\"),o=t.color;Array.isArray(o)&&(o=o[t.eventData[0].pointNumber]);var f=t.bgcolor||o,p=h.combine(h.opacity(f)?f:h.defaultLine,c),d=h.combine(h.opacity(o)?o:h.defaultLine,c),g=t.borderColor||h.contrast(p),m=C(t,R,i,a,L,e),v=m[0],y=m[1],w=e.select(\"text.nums\").call(u.font,t.fontFamily||b,t.fontSize||_,t.fontColor||g).text(v).attr(\"data-notex\",1).call(l.positionText,0,0).call(l.convertToTspans,r),T=e.select(\"text.name\"),A=0,S=0;if(y&&y!==v){T.call(u.font,t.fontFamily||b,t.fontSize||_,d).text(y).attr(\"data-notex\",1).call(l.positionText,0,0).call(l.convertToTspans,r);var E=T.node().getBoundingClientRect();A=E.width+2*M,S=E.height+2*M}else 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0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=O(t.name,t.nameLength)),void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\"x: \"+t.xLabel+\"<br>\"),void 0!==t.yLabel&&(l+=\"y: \"+t.yLabel+\"<br>\"),\"choropleth\"!==t.trace.type&&\"choroplethmapbox\"!==t.trace.type&&(l+=(l?\"z: \":\"\")+t.zLabel)):e&&t[r.charAt(0)+\"Label\"]===a?l=t[(\"x\"===r.charAt(0)?\"y\":\"x\")+\"Label\"]||\"\":void 0===t.xLabel?void 0!==t.yLabel&&\"scattercarpet\"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:\"(\"+t.xLabel+\", \"+t.yLabel+\")\",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?\"<br>\":\"\")+t.text),void 0!==t.extraText&&(l+=(l?\"<br>\":\"\")+t.extraText),i&&\"\"===l&&!t.hovertemplate&&(\"\"===s&&i.remove(),l=s);var c=n._d3locale,u=t.hovertemplate||!1,h=t.hovertemplateLabels||t,f=t.eventData[0]||{};return u&&(l=(l=o.hovertemplateString(u,h,c,f,t.trace._meta)).replace(S,(function(e,r){return 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d=c+f,g=p+t.ty0-t.by/2+M,m=t.textAlign||\"auto\";\"auto\"!==m&&(\"left\"===m&&\"start\"!==i?(a.attr(\"text-anchor\",\"start\"),d=\"middle\"===i?-t.bx/2-t.tx2width/2+M:-t.bx-M):\"right\"===m&&\"end\"!==i&&(a.attr(\"text-anchor\",\"end\"),d=\"middle\"===i?t.bx/2-t.tx2width/2-M:t.bx+M)),a.call(l.positionText,d,g),t.tx2width&&(r.select(\"text.name\").call(l.positionText,h+s*M+f,p+t.ty0-t.by/2+M),r.select(\"rect\").call(u.setRect,h+(s-1)*t.tx2width/2+f,p-t.by/2-1,t.tx2width,t.by+2))}))}function P(t,e){var r=t.index,n=t.trace||{},i=t.cd[0],s=t.cd[r]||{};function l(t){return t||a(t)&&0===t}var c=Array.isArray(r)?function(t,e){var a=o.castOption(i,r,t);return l(a)?a:o.extractOption({},n,\"\",e)}:function(t,e){return o.extractOption(s,n,t,e)};function u(e,r,n){var 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n=t(\"../../plots/font_attributes\"),a=t(\"../../plots/pad_attributes\"),i=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=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}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,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:i(a({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:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../../plots/animation_attributes\":792,\"../../plots/font_attributes\":826,\"../../plots/pad_attributes\":860,\"./constants\":706}],706:[function(t,e,r){\"use 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T={y:e.y,b:h.height*d[w],t:h.height*p[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*p[_],T.r=0,T.xr=e.x+e.len*d[_]):(T.x=e.x,T.l=h.outerLength*p[_],T.r=h.outerLength*d[_]),a.autoMargin(t,g(e),T)}function y(t,e,r){if(e.currentvalue.visible){var n,a,i=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=i.inputAreaLength-u.currentValueInset-i.currentValueMaxWidth,a=\"left\";break;case\"center\":n=.5*i.inputAreaLength,a=\"middle\";break;default:n=u.currentValueInset,a=\"left\"}var c=s.ensureSingle(t,\"text\",u.labelClass,(function(t){t.attr({\"text-anchor\":a,\"data-notex\":1})})),h=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)h+=r;else{var p=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(p=s.templateString(p,d)),h+=p}e.currentvalue.suffix&&(h+=e.currentvalue.suffix),c.call(o.font,e.currentvalue.font).text(h).call(l.convertToTspans,e._gd);var g=l.lineCount(c),m=(i.currentValueMaxLines+1-g)*e.currentvalue.font.size*f;return 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R,B=Math.min(r[0],r[1]),N=Math.max(r[0],r[1]),j=F.getTickFormat(t);h&&j&&(/%[fLQsSMX]/.test(j)||(/%[HI]/.test(j)?R=S:/%p/.test(j)?R=A:/%[Aadejuwx]/.test(j)?R=M:/%[UVW]/.test(j)?R=k:/%[Bbm]/.test(j)?R=w:/%[q]/.test(j)?R=x:/%[Yy]/.test(j)&&(R=m)));var V,q,H=[];for(V=0;V<c.length;V++){var G=c[V].minor,Y=c[V].value,W=F.tickText(t,Y,!1,G);h&&q===W.text||(q=W.text,H.push(W))}if(h&&f){var Z=!1;for(V=0;V<H.length;V++){var X=H[V].x,J=V,K=V+1;V<H.length-1?(J=V,K=V+1):V>0?(J=V-1,K=V):(J=V,K=V);var Q=H[J].x,$=H[K].x,et=Math.abs($-Q),rt=R||et,nt=0;if(rt>=v?nt=et>=v&&et<=g?et:m:R===x&&rt>=b?nt=et>=b&&et<=y?et:x:rt>=T?nt=et>=T&&et<=_?et:w:R===k&&rt>=k?nt=k:rt>=M?nt=M:R===A&&rt>=A?nt=A:R===S&&rt>=S&&(nt=S),nt&&t.rangebreaks){for(var at=0,it=0,ot=0;ot<42;ot++){var st=ot/42;t.maskBreaks(Q*(1-st)+$*st)!==P&&(st<.5?at++:it++)}it&&(nt*=(at+it)/42)}nt<=et&&(X+=nt/2),H[V].periodX=X,(X>N||X<B)&&(H[V].text=\" 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if(a(e)||\"L\"===e.charAt(0)){var s=t.range.map(t.r2d||Number);a(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])),c=Math.floor(Math.log(l)/Math.LN10+.01),u=void 0===t.minexponent?3:t.minexponent;Math.abs(c)>u&&(rt(t.exponentformat)&&!nt(c)?t._tickexponent=3*Math.round((c-1)/3):t._tickexponent=c)}else t._tickround=null}function tt(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}}F.autoTicks=function(t,e){var r;function n(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if(\"date\"===t.type){t.tick0=s.dateTick0(t.calendar,0);var i=2*e;if(i>m)e/=m,r=n(10),t.dtick=\"M\"+12*Q(e,r,G);else if(i>w)e/=w,t.dtick=\"M\"+Q(e,1,Y);else if(i>M){t.dtick=Q(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:Z);var o=F.getTickFormat(t);/%[uVW]/.test(o)?t.tick0=s.dateTick0(t.calendar,2):t.tick0=s.dateTick0(t.calendar,1)}else i>S?t.dtick=Q(e,S,Y):i>E?t.dtick=Q(e,E,W):i>C?t.dtick=Q(e,C,W):(r=n(10),t.dtick=Q(e,r,G))}else if(\"log\"===t.type){t.tick0=0;var l=s.simpleMap(t.range,t.r2l);if(e>.7)t.dtick=Math.ceil(e);else if(Math.abs(l[1]-l[0])<1){var c=1.5*Math.abs((l[1]-l[0])/e);e=Math.abs(Math.pow(10,l[1])-Math.pow(10,l[0]))/c,r=n(10),t.dtick=\"L\"+Q(e,r,G)}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))):mt(t)?(t.tick0=0,r=1,t.dtick=Q(e,r,K)):(t.tick0=0,r=n(10),t.dtick=Q(e,r,G));if(0===t.dtick&&(t.dtick=1),!a(t.dtick)&&\"string\"!=typeof t.dtick){var u=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(u)}},F.tickIncrement=function(t,e,r,i){var o=r?-1:1;if(a(e))return s.increment(t,o*e);var l=e.charAt(0),c=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,c,i);if(\"L\"===l)return Math.log(Math.pow(10,t)+c)/Math.LN10;if(\"D\"===l){var u=\"D2\"===e?J:X,h=t+.01*o,f=s.roundUp(s.mod(h,1),u,r);return Math.floor(h)+Math.log(n.round(Math.pow(10,f),1))/Math.LN10}throw\"unrecognized dtick \"+String(e)},F.tickFirst=function(t,e){var r=t.r2l||Number,i=s.simpleMap(t.range,r,void 0,void 0,e),o=i[1]<i[0],l=o?Math.floor:Math.ceil,c=U(i)[0],u=t.dtick,h=r(t.tick0);if(a(u)){var f=l((c-h)/u)*u+h;return\"category\"!==t.type&&\"multicategory\"!==t.type||(f=s.constrain(f,0,t._categories.length-1)),f}var p=u.charAt(0),d=Number(u.substr(1));if(\"M\"===p){for(var g,m,v,y=0,x=h;y<10;){if(((g=F.tickIncrement(x,u,o,t.calendar))-c)*(x-c)<=0)return o?Math.min(x,g):Math.max(x,g);m=(c-(x+g)/2)/(g-x),v=p+(Math.abs(Math.round(m))||1)*d,x=F.tickIncrement(x,v,m<0?!o:o,t.calendar),y++}return s.error(\"tickFirst did not converge\",t),x}if(\"L\"===p)return Math.log(l((Math.pow(10,c)-h)/d)*d+h)/Math.LN10;if(\"D\"===p){var b=\"D2\"===u?J:X,_=s.roundUp(s.mod(c,1),b,o);return Math.floor(c)+Math.log(n.round(Math.pow(10,_),1))/Math.LN10}throw\"unrecognized dtick \"+String(u)},F.tickText=function(t,e,r,n){var i,o=tt(t,e),l=\"array\"===t.tickmode,c=r||l,u=t.type,h=\"category\"===u?t.d2l_noadd:t.d2l;if(l&&Array.isArray(t.ticktext)){var f=s.simpleMap(t.range,t.r2l),p=(Math.abs(f[1]-f[0])-(t._lBreaks||0))/1e4;for(i=0;i<t.ticktext.length&&!(Math.abs(e-h(t.tickvals[i]))<p);i++);if(i<t.ticktext.length)return o.text=String(t.ticktext[i]),o}function d(n){if(void 0===n)return!0;if(r)return\"none\"===n;var a={first:t._tmin,last:t._tmax}[n];return\"all\"!==n&&e!==a}var g=r?\"never\":\"none\"!==t.exponentformat&&d(t.showexponent)?\"hide\":\"\";if(\"date\"===u?function(t,e,r,n){var i=t._tickround,o=r&&t.hoverformat||F.getTickFormat(t);n&&(i=a(i)?4:{y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[i]);var l,c=s.formatDate(e.x,o,i,t._dateFormat,t.calendar,t._extraFormat),u=c.indexOf(\"\\n\");-1!==u&&(l=c.substr(u+1),c=c.substr(0,u));n&&(\"00:00:00\"===c||\"00:00\"===c?(c=l,l=\"\"):8===c.length&&(c=c.replace(/:00$/,\"\")));l&&(r?\"d\"===i?c+=\", \"+l:c=l+(c?\", 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e=t._id.charAt(0),r=t._offset;return\"x\"===e?function(e){return\"translate(\"+(r+t.l2p(e.x))+\",0)\"}:function(e){return\"translate(0,\"+(r+t.l2p(e.x))+\")\"}},F.makeTransPeriodFn=function(t){var e=t._id.charAt(0),r=t._offset;return\"x\"===e?function(e){return\"translate(\"+(r+t.l2p(e.periodX))+\",0)\"}:function(e){return\"translate(0,\"+(r+t.l2p(e.periodX))+\")\"}},F.makeTickPath=function(t,e,r,n){n=void 0!==n?n:t.ticklen;var a=t._id.charAt(0),i=(t.linewidth||1)/2;return\"x\"===a?\"M0,\"+(e+i*r)+\"v\"+n*r:\"M\"+(e+i*r)+\",0h\"+n*r},F.makeLabelFns=function(t,e,r){var n=t._id.charAt(0),i=\"boundaries\"!==t.tickson&&\"outside\"===t.ticks,o=0,l=0;if(i&&(o+=t.ticklen),r&&\"outside\"===t.ticks){var c=s.deg2rad(r);o=t.ticklen*Math.cos(c)+1,l=t.ticklen*Math.sin(c)}t.showticklabels&&(i||t.showline)&&(o+=.2*t.tickfont.size);var u,h,f,p,d={labelStandoff:o+=(t.linewidth||1)/2,labelShift:l};return\"x\"===n?(p=\"bottom\"===t.side?1:-1,u=l*p,h=e+o*p,f=\"bottom\"===t.side?1:-.2,d.xFn=function(t){return t.dx+u},d.yFn=function(t){return t.dy+h+t.fontSize*f},d.anchorFn=function(t,e){return a(e)&&0!==e&&180!==e?e*p<0?\"end\":\"start\":\"middle\"},d.heightFn=function(e,r,n){return r<-60||r>60?-.5*n:\"top\"===t.side?-n:0}):\"y\"===n&&(p=\"right\"===t.side?1:-1,u=o,h=-l*p,f=90===Math.abs(t.tickangle)?.5:0,d.xFn=function(t){return t.dx+e+(u+t.fontSize*f)*p},d.yFn=function(t){return t.dy+h+t.fontSize*z},d.anchorFn=function(e,r){return a(r)&&90===Math.abs(r)?\"middle\":\"right\"===t.side?\"start\":\"end\"},d.heightFn=function(e,r,n){return(r*=\"left\"===t.side?1:-1)<-30?-n:r<30?-.5*n:0}),d},F.drawTicks=function(t,e,r){r=r||{};var n=e._id+\"tick\",a=r.vals;\"period\"===e.ticklabelmode&&(a=a.slice()).shift();var i=r.layer.selectAll(\"path.\"+n).data(e.ticks?a:[],ot);i.exit().remove(),i.enter().append(\"path\").classed(n,1).classed(\"ticks\",1).classed(\"crisp\",!1!==r.crisp).call(u.stroke,e.tickcolor).style(\"stroke-width\",h.crispRound(t,e.tickwidth,1)+\"px\").attr(\"d\",r.path),i.attr(\"transform\",r.transFn)},F.drawGrid=function(t,e,r){r=r||{};var n=e._id+\"grid\",a=r.vals,i=r.counterAxis;if(!1===e.showgrid)a=[];else if(i&&F.shouldShowZeroLine(t,e,i))for(var o=\"array\"===e.tickmode,s=0;s<a.length;s++){var l=a[s].x;if(o?!l:Math.abs(l)<e.dtick/100){if(a=a.slice(0,s).concat(a.slice(s+1)),!o)break;s--}}var c=r.layer.selectAll(\"path.\"+n).data(a,ot);c.exit().remove(),c.enter().append(\"path\").classed(n,1).classed(\"crisp\",!1!==r.crisp),e._gw=h.crispRound(t,e.gridwidth,1),c.attr(\"transform\",r.transFn).attr(\"d\",r.path).call(u.stroke,e.gridcolor||\"#ddd\").style(\"stroke-width\",e._gw+\"px\"),\"function\"==typeof r.path&&c.attr(\"d\",r.path)},F.drawZeroLine=function(t,e,r){r=r||r;var n=e._id+\"zl\",a=F.shouldShowZeroLine(t,e,r.counterAxis),i=r.layer.selectAll(\"path.\"+n).data(a?[{x:0,id:e._id}]:[]);i.exit().remove(),i.enter().append(\"path\").classed(n,1).classed(\"zl\",1).classed(\"crisp\",!1!==r.crisp).each((function(){r.layer.selectAll(\"path\").sort((function(t,e){return N.idSort(t.id,e.id)}))})),i.attr(\"transform\",r.transFn).attr(\"d\",r.path).call(u.stroke,e.zerolinecolor||u.defaultLine).style(\"stroke-width\",h.crispRound(t,e.zerolinewidth,e._gw||1)+\"px\")},F.drawLabels=function(t,e,r){r=r||{};var i=t._fullLayout,o=e._id,c=o.charAt(0),u=r.cls||o+\"tick\",f=r.vals,p=r.labelFns,d=r.secondary?0:e.tickangle,g=(e._prevTickAngles||{})[u],m=r.layer.selectAll(\"g.\"+u).data(e.showticklabels?f:[],ot),v=[];function y(t,e){t.each((function(t){var i=n.select(this),o=i.select(\".text-math-group\"),s=p.anchorFn(t,e),c=r.transFn.call(i.node(),t)+(a(e)&&0!=+e?\" rotate(\"+e+\",\"+p.xFn(t)+\",\"+(p.yFn(t)-t.fontSize/2)+\")\":\"\"),u=l.lineCount(i),f=D*t.fontSize,d=p.heightFn(t,a(e)?+e:0,(u-1)*f);if(d&&(c+=\" translate(0, \"+d+\")\"),o.empty())i.select(\"text\").attr({transform:c,\"text-anchor\":s});else{var g=h.bBox(o.node()).width*{end:-.5,start:.5}[s];o.attr(\"transform\",c+(g?\"translate(\"+g+\",0)\":\"\"))}}))}m.enter().append(\"g\").classed(u,1).append(\"text\").attr(\"text-anchor\",\"middle\").each((function(e){var r=n.select(this),a=t._promises.length;r.call(l.positionText,p.xFn(e),p.yFn(e)).call(h.font,e.font,e.fontSize,e.fontColor).text(e.text).call(l.convertToTspans,t),t._promises[a]?v.push(t._promises.pop().then((function(){y(r,d)}))):y(r,d)})),m.exit().remove(),r.repositionOnUpdate&&m.each((function(t){n.select(this).select(\"text\").call(l.positionText,p.xFn(t),p.yFn(t))})),y(m,g+1?g:d);var x=null;e._selections&&(e._selections[u]=m);var b=[function(){return v.length&&Promise.all(v)}];e.automargin&&i._redrawFromAutoMarginCount&&90===g?(x=90,b.push((function(){y(m,g)}))):b.push((function(){if(y(m,d),f.length&&\"x\"===c&&!a(d)&&(\"log\"!==e.type||\"D\"!==String(e.dtick).charAt(0))){x=0;var t,n=0,i=[];if(m.each((function(t){n=Math.max(n,t.fontSize);var r=e.l2p(t.x),a=ct(this),o=h.bBox(a.node());i.push({top:0,bottom:10,height:10,left:r-o.width/2,right:r+o.width/2+2,width:o.width+2})})),\"boundaries\"!==e.tickson&&!e.showdividers||r.secondary){var o=f.length,l=Math.abs((f[o-1].x-f[0].x)*e._m)/(o-1)<2.5*n||\"multicategory\"===e.type;for(t=0;t<i.length-1;t++)if(s.bBoxIntersect(i[t],i[t+1])){x=l?90:30;break}}else{var u=2;for(e.ticks&&(u+=e.tickwidth/2),t=0;t<i.length;t++){var p=f[t].xbnd,g=i[t];if(null!==p[0]&&g.left-e.l2p(p[0])<u||null!==p[1]&&e.l2p(p[1])-g.right<u){x=90;break}}}x&&y(m,x)}})),e._tickAngles&&b.push((function(){e._tickAngles[u]=null===x?a(d)?d:0:x}));var _=s.syncOrAsync(b);return _&&_.then&&t._promises.push(_),_},F.getPxPosition=function(t,e){var r,n=t._fullLayout._size,a=e._id.charAt(0),i=e.side;return\"free\"!==e.anchor?r=e._anchorAxis:\"x\"===a?r={_offset:n.t+(1-(e.position||0))*n.h,_length:0}:\"y\"===a&&(r={_offset:n.l+(e.position||0)*n.w,_length:0}),\"top\"===i||\"left\"===i?r._offset:\"bottom\"===i||\"right\"===i?r._offset+r._length:void 0},F.shouldShowZeroLine=function(t,e,r){var n=s.simpleMap(e.range,e.r2l);return n[0]*n[1]<=0&&e.zeroline&&(\"linear\"===e.type||\"-\"===e.type)&&!(e.rangebreaks&&e.maskBreaks(0)===P)&&(lt(e,0)||!function(t,e,r,n){var a=r._mainAxis;if(!a)return;var i=t._fullLayout,o=e._id.charAt(0),s=F.counterLetter(e._id),l=e._offset+(Math.abs(n[0])<Math.abs(n[1])==(\"x\"===o)?0:e._length);function c(t){if(!t.showline||!t.linewidth)return!1;var r=Math.max((t.linewidth+e.zerolinewidth)/2,1);function n(t){return\"number\"==typeof t&&Math.abs(t-l)<r}if(n(t._mainLinePosition)||n(t._mainMirrorPosition))return!0;var a=t._linepositions||{};for(var i in a)if(n(a[i][0])||n(a[i][1]))return!0}var u=i._plots[r._mainSubplot];if(!(u.mainplotinfo||u).overlays.length)return c(r);for(var h=F.list(t,s),f=0;f<h.length;f++){var p=h[f];if(p._mainAxis===a&&c(p))return!0}}(t,e,r,n)||function(t,e){for(var r=t._fullData,n=e._mainSubplot,a=e._id.charAt(0),i=0;i<r.length;i++){var s=r[i];if(!0===s.visible&&s.xaxis+s.yaxis===n){if(o.traceIs(s,\"bar-like\")&&s.orientation==={x:\"h\",y:\"v\"}[a])return!0;if(s.fill&&s.fill.charAt(s.fill.length-1)===a)return!0}}return!1}(t,e))},F.clipEnds=function(t,e){return e.filter((function(e){return lt(t,e.x)}))},F.allowAutoMargin=function(t){for(var e=F.list(t,\"\",!0),r=0;r<e.length;r++){var n=e[r];n.automargin&&(i.allowAutoMargin(t,ut(n)),n.mirror&&i.allowAutoMargin(t,ht(n))),o.getComponentMethod(\"rangeslider\",\"isVisible\")(n)&&i.allowAutoMargin(t,ft(n))}},F.swap=function(t,e){for(var r=function(t,e){var r,n,a=[];for(r=0;r<e.length;r++){var i=[],o=t._fullData[e[r]].xaxis,s=t._fullData[e[r]].yaxis;if(o&&s){for(n=0;n<a.length;n++)-1===a[n].x.indexOf(o)&&-1===a[n].y.indexOf(s)||i.push(n);if(i.length){var l,c=a[i[0]];if(i.length>1)for(n=1;n<i.length;n++)l=a[i[n]],pt(c.x,l.x),pt(c.y,l.y);pt(c.x,[o]),pt(c.y,[s])}else a.push({x:[o],y:[s]})}}return a}(t,e),n=0;n<r.length;n++)dt(t,r[n].x,r[n].y)}},{\"../../components/color\":615,\"../../components/drawing\":637,\"../../components/titles\":710,\"../../constants/alignment\":717,\"../../constants/numerical\":724,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plots/plots\":861,\"../../registry\":881,\"./autorange\":797,\"./axis_autotype\":799,\"./axis_ids\":801,\"./clean_ticks\":803,\"./layout_attributes\":812,\"./set_convert\":818,d3:169,\"fast-isnumeric\":241}],799:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"../../constants/numerical\").BADNUM;e.exports=function(t,e,r){return!(r=r||{}).noMultiCategory&&(o=t,a.isArrayOrTypedArray(o[0])&&a.isArrayOrTypedArray(o[1]))?\"multicategory\":function(t,e){for(var r=Math.max(1,(t.length-1)/1e3),i=0,o=0,s={},l=0;l<t.length;l+=r){var c=t[Math.round(l)],u=String(c);s[u]||(s[u]=1,a.isDateTime(c,e)&&(i+=1),n(c)&&(o+=1))}return i>2*o}(t,e)?\"date\":function(t){for(var e=Math.max(1,(t.length-1)/1e3),r=0,n=0,o={},s=0;s<t.length;s+=e){var l=t[Math.round(s)],c=String(l);o[c]||(o[c]=1,\"boolean\"==typeof l?n++:a.cleanNumber(l)!==i?r++:\"string\"==typeof l&&n++)}return n>2*r}(t)?\"category\":function(t){if(!t)return!1;for(var e=0;e<t.length;e++)if(n(t[e]))return!0;return!1}(t)?\"linear\":\"-\";var o}},{\"../../constants/numerical\":724,\"../../lib\":749,\"fast-isnumeric\":241}],800:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../registry\"),i=t(\"../../lib\"),o=t(\"../array_container_defaults\"),s=t(\"./layout_attributes\"),l=t(\"./tick_value_defaults\"),c=t(\"./tick_mark_defaults\"),u=t(\"./tick_label_defaults\"),h=t(\"./category_order_defaults\"),f=t(\"./line_grid_defaults\"),p=t(\"./set_convert\"),d=t(\"./constants\").WEEKDAY_PATTERN,g=t(\"./constants\").HOUR_PATTERN;function m(t,e,r){function a(r,n){return i.coerce(t,e,s.rangebreaks,r,n)}if(a(\"enabled\")){var o=a(\"bounds\");if(o&&o.length>=2){var l,c,u=\"\";if(2===o.length)for(l=0;l<2;l++)if(c=y(o[l])){u=d;break}var h=a(\"pattern\",u);if(h===d)for(l=0;l<2;l++)(c=y(o[l]))&&(e.bounds[l]=o[l]=c-1);if(h)for(l=0;l<2;l++)switch(c=o[l],h){case d:if(!n(c))return void(e.enabled=!1);if((c=+c)!==Math.floor(c)||c<0||c>=7)return void(e.enabled=!1);e.bounds[l]=o[l]=c;break;case g:if(!n(c))return void(e.enabled=!1);if((c=+c)<0||c>24)return void(e.enabled=!1);e.bounds[l]=o[l]=c}if(!1===r.autorange){var f=r.range;if(f[0]<f[1]){if(o[0]<f[0]&&o[1]>f[1])return void(e.enabled=!1)}else if(o[0]>f[0]&&o[1]<f[1])return void(e.enabled=!1)}}else{var p=a(\"values\");if(!p||!p.length)return void(e.enabled=!1);a(\"dvalue\")}}}e.exports=function(t,e,r,n,g){var v=n.letter,y=n.font||{},x=n.splomStash||{},b=r(\"visible\",!n.visibleDflt),_=e._template||{},w=e.type||_.type||\"-\";\"date\"===w&&a.getComponentMethod(\"calendars\",\"handleDefaults\")(t,e,\"calendar\",n.calendar);p(e,g);var T=!e.isValidRange(t.range);T&&n.reverseDflt&&(T=\"reversed\"),!r(\"autorange\",T)||\"linear\"!==w&&\"-\"!==w||r(\"rangemode\"),r(\"range\"),e.cleanRange(),h(t,e,r,n),\"category\"===w||n.noHover||r(\"hoverformat\");var k=r(\"color\"),M=k!==s.color.dflt?k:y.color,A=x.label||g._dfltTitle[v];if(u(t,e,r,w,n,{pass:1}),!b)return e;r(\"title.text\",A),i.coerceFont(r,\"title.font\",{family:y.family,size:Math.round(1.2*y.size),color:M}),l(t,e,r,w),u(t,e,r,w,n,{pass:2}),c(t,e,r,n),f(t,e,r,{dfltColor:k,bgColor:n.bgColor,showGrid:n.showGrid,attributes:s}),(e.showline||e.ticks)&&r(\"mirror\"),n.automargin&&r(\"automargin\");var S,E=\"multicategory\"===w;n.noTickson||\"category\"!==w&&!E||!e.ticks&&!e.showgrid||(E&&(S=\"boundaries\"),r(\"tickson\",S));E&&(r(\"showdividers\")&&(r(\"dividercolor\"),r(\"dividerwidth\")));if(\"date\"===w)if(n.noTicklabelmode||r(\"ticklabelmode\"),o(t,e,{name:\"rangebreaks\",inclusionAttr:\"enabled\",handleItemDefaults:m}),e.rangebreaks.length){for(var C=0;C<e.rangebreaks.length;C++)if(e.rangebreaks[C].pattern===d){e._hasDayOfWeekBreaks=!0;break}if(p(e,g),g._has(\"scattergl\")||g._has(\"splom\"))for(var L=0;L<n.data.length;L++){var P=n.data[L];\"scattergl\"!==P.type&&\"splom\"!==P.type||(P.visible=!1,i.warn(P.type+\" traces do not work on axes with rangebreaks. Setting trace \"+P.index+\" to `visible: false`.\"))}}else delete e.rangebreaks;return e};var v={sun:1,mon:2,tue:3,wed:4,thu:5,fri:6,sat:7};function y(t){if(\"string\"==typeof t)return v[t.substr(0,3).toLowerCase()]}},{\"../../lib\":749,\"../../registry\":881,\"../array_container_defaults\":793,\"./category_order_defaults\":802,\"./constants\":804,\"./layout_attributes\":812,\"./line_grid_defaults\":814,\"./set_convert\":818,\"./tick_label_defaults\":819,\"./tick_mark_defaults\":820,\"./tick_value_defaults\":821,\"fast-isnumeric\":241}],801:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"./constants\");r.id2name=function(t){if(\"string\"==typeof t&&t.match(a.AX_ID_PATTERN)){var e=t.substr(1);return\"1\"===e&&(e=\"\"),t.charAt(0)+\"axis\"+e}},r.name2id=function(t){if(t.match(a.AX_NAME_PATTERN)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),t.charAt(0)+e}},r.cleanId=function(t,e){if(\"string\"==typeof t&&t.match(a.AX_ID_PATTERN)&&(!e||t.charAt(0)===e)){var 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r!==n?r>n?1:-1:+(t.substr(1)||1)-+(e.substr(1)||1)},r.getAxisGroup=function(t,e){for(var r=t._axisMatchGroups,n=0;n<r.length;n++){if(r[n][e])return\"g\"+n}return e}},{\"../../registry\":881,\"./constants\":804}],802:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){if(\"category\"===e.type){var a,i=t.categoryarray,o=Array.isArray(i)&&i.length>0;o&&(a=\"array\");var s,l=r(\"categoryorder\",a);\"array\"===l&&(s=r(\"categoryarray\")),o||\"array\"!==l||(l=e.categoryorder=\"trace\"),\"trace\"===l?e._initialCategories=[]:\"array\"===l?e._initialCategories=s.slice():(s=function(t,e){var r,n,a,i=e.dataAttr||t._id.charAt(0),o={};if(e.axData)r=e.axData;else for(r=[],n=0;n<e.data.length;n++){var s=e.data[n];s[i+\"axis\"]===t._id&&r.push(s)}for(n=0;n<r.length;n++){var l=r[n][i];for(a=0;a<l.length;a++){var c=l[a];null!=c&&(o[c]=1)}}return Object.keys(o)}(e,n).sort(),\"category ascending\"===l?e._initialCategories=s:\"category 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n._length*(n._rl[e]-a)/(n._rl[e]-n._rl[i])}}function Nt(t,e){for(var r=rt.isSubplotConstrained?{x:J,y:X}[t]:rt[t+\"axes\"],n=rt.isSubplotConstrained?{x:X,y:J}[t]:[],a=0;a<r.length;a++){var i=r[a],o=i._id,s=rt.xLinks[o]||rt.yLinks[o],l=n[0]||W[s]||Z[s];l&&(e?(e[i._name+\".range[0]\"]=e[l._name+\".range[0]\"],e[i._name+\".range[1]\"]=e[l._name+\".range[1]\"]):i.range=l.range.slice())}}function jt(){var e,r=[];function n(t){for(e=0;e<t.length;e++)t[e].fixedrange||r.push(t[e]._id)}for(ot&&(n(X),n(et.xaxes),n(rt.xaxes)),st&&(n(J),n(et.yaxes),n(rt.yaxes)),ht={},e=0;e<r.length;e++){var a=r[e],i=w(t,a);f.drawOne(t,i,{skipTitle:!0}),ht[i._name+\".range[0]\"]=i.range[0],ht[i._name+\".range[1]\"]=i.range[1]}f.redrawComponents(t,r)}function Ut(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];nt&&(r=r.concat(X)),at&&(r=r.concat(J)),rt.xaxes&&(r=r.concat(rt.xaxes)),rt.yaxes&&(r=r.concat(rt.yaxes));var 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r,n,a,i,l=t._fullLayout,c=l._plots,h=l._subplots.cartesian;if(ct&&o.subplotsRegistry.splom.drag(t),lt)for(r=0;r<h.length;r++)if(a=(n=c[h[r]]).xaxis,i=n.yaxis,n._scene){var f=s.simpleMap(a.range,a.r2l),p=s.simpleMap(i.range,i.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||lt)&&(x(t),b(t)),ut){var d=e[2]/P._length,m=e[3]/j._length;for(r=0;r<h.length;r++){a=(n=c[h[r]]).xaxis,i=n.yaxis;var v,y,_,w,T=ot&&!a.fixedrange&&W[a._id],k=st&&!i.fixedrange&&Z[i._id];if(T?(v=d,_=L?e[0]:Yt(a,v)):rt.xaHash[a._id]?(v=d,_=e[0]*a._length/P._length):rt.yaHash[a._id]?(v=m,_=\"ns\"===at?-e[1]*a._length/j._length:Yt(a,v,{n:\"top\",s:\"bottom\"}[at])):_=Gt(a,v=Ht(a,d,m)),k?(y=m,w=g?e[1]:Yt(i,y)):rt.yaHash[i._id]?(y=m,w=e[1]*i._length/j._length):rt.xaHash[i._id]?(y=d,w=\"ew\"===nt?-e[0]*i._length/P._length:Yt(i,y,{e:\"right\",w:\"left\"}[nt])):w=Gt(i,y=Ht(i,d,m)),v||y){v||(v=1),y||(y=1);var 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n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),i=Ft.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),o=(e.clientX-i.left)/i.width,l=(i.bottom-e.clientY)/i.height;if(ot){for(L||(o=.5),n=0;n<X.length;n++)c(X[n],o,a);Nt(\"x\"),Ot[2]*=a,Ot[0]+=Ot[2]*o*(1/a-1)}if(st){for(g||(l=.5),n=0;n<J.length;n++)c(J[n],l,a);Nt(\"y\"),Ot[3]*=a,Ot[1]+=Ot[3]*(1-l)*(1/a-1)}qt(Ot),jt(),t.emit(\"plotly_relayouting\",ht),Dt=setTimeout((function(){Ot=[0,0,$,tt],Vt()}),Rt),e.preventDefault()}else s.log(\"Did not find wheel motion attributes: \",e)}function c(t,e,r){if(!t.fixedrange){var n=s.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return 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e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(e._has(\"cartesian\")||e._has(\"splom\")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split(\"y\"),a=r.split(\"y\");return n[0]===a[0]?Number(n[1]||1)-Number(a[1]||1):Number(n[0]||1)-Number(a[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var u=s(t,n,o._offset,c._offset,o._length,c._length,\"ns\",\"ew\");u.onmousemove=function(e){t._fullLayout._rehover=function(){t._fullLayout._hoversubplot===r&&t._fullLayout._plots[r]&&a.hover(t,e,r)},a.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,i.unhover(t,e))},t._context.showAxisDragHandles&&(s(t,n,o._offset-l,c._offset-l,l,l,\"n\",\"w\"),s(t,n,o._offset+o._length,c._offset-l,l,l,\"n\",\"e\"),s(t,n,o._offset-l,c._offset+c._length,l,l,\"s\",\"w\"),s(t,n,o._offset+o._length,c._offset+c._length,l,l,\"s\",\"e\"))}if(t._context.showAxisDragHandles){if(r===o._mainSubplot){var h=o._mainLinePosition;\"top\"===o.side&&(h-=l),s(t,n,o._offset+.1*o._length,h,.8*o._length,l,\"\",\"ew\"),s(t,n,o._offset,h,.1*o._length,l,\"\",\"w\"),s(t,n,o._offset+.9*o._length,h,.1*o._length,l,\"\",\"e\")}if(r===c._mainSubplot){var 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e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._drawing=!1}}},{}],809:[function(t,e,r){\"use strict\";function n(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)}}e.exports={p2r:n,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 n(t,r[e])}},getTransform:function(t){return\"translate(\"+t.xaxis._offset+\",\"+t.yaxis._offset+\")\"}}},{}],810:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\");e.exports=function(t){return function(e,r){var i=e[t];if(Array.isArray(i))for(var o=n.subplotsRegistry.cartesian,s=o.idRegex,l=r._subplots,c=l.xaxis,u=l.yaxis,h=l.cartesian,f=r._has(\"cartesian\")||r._has(\"gl2d\"),p=0;p<i.length;p++){var d=i[p];if(a.isPlainObject(d)){var 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T=e.plot.selectAll(\"g.mlayer\").data(m,(function(t){return t.className}));if(T.enter().append(\"g\").attr(\"class\",(function(t){return t.className})).classed(\"mlayer\",!0).classed(\"rangeplot\",e.isRangePlot),T.exit().remove(),T.order(),T.each((function(r){var a=n.select(this),l=r.className;r.plotMethod(t,e,r.cdModule,a,i,o),-1===u.clipOnAxisFalseQuery.indexOf(\".\"+l)&&s.setClipUrl(a,e.layerClipId,t)})),d._has(\"scattergl\")&&(c=a.getModule(\"scattergl\"),f=l(r,c)[0],c.plot(t,e,f)),!t._context.staticPlot&&(e._hasClipOnAxisFalse&&(e.clipOnAxisFalseTraces=e.plot.selectAll(u.clipOnAxisFalseQuery.join(\",\")).selectAll(\".trace\")),v.length)){var k=e.plot.selectAll(v.join(\",\")).selectAll(\".trace\");e.zoomScalePts=k.selectAll(\"path.point\"),e.zoomScaleTxt=k.selectAll(\".textpoint\")}}function g(t,e){var r=e.plotgroup,n=e.id,a=u.layerValue2layerClass[e.xaxis.layer],i=u.layerValue2layerClass[e.yaxis.layer],o=t._fullLayout._hasOnlyLargeSploms;if(e.mainplot){var s=e.mainplotinfo,l=s.plotgroup,h=n+\"-x\",d=n+\"-y\";e.gridlayer=s.gridlayer,e.zerolinelayer=s.zerolinelayer,f(s.overlinesBelow,\"path\",h),f(s.overlinesBelow,\"path\",d),f(s.overaxesBelow,\"g\",h),f(s.overaxesBelow,\"g\",d),e.plot=f(s.overplot,\"g\",n),f(s.overlinesAbove,\"path\",h),f(s.overlinesAbove,\"path\",d),f(s.overaxesAbove,\"g\",h),f(s.overaxesAbove,\"g\",d),e.xlines=l.select(\".overlines-\"+a).select(\".\"+h),e.ylines=l.select(\".overlines-\"+i).select(\".\"+d),e.xaxislayer=l.select(\".overaxes-\"+a).select(\".\"+h),e.yaxislayer=l.select(\".overaxes-\"+i).select(\".\"+d)}else if(o)e.xlines=f(r,\"path\",\"xlines-above\"),e.ylines=f(r,\"path\",\"ylines-above\"),e.xaxislayer=f(r,\"g\",\"xaxislayer-above\"),e.yaxislayer=f(r,\"g\",\"yaxislayer-above\");else{var 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e,r=t.center||{},n=t.projection,a=n.rotation||{};this.viewInitial={fitbounds:t.fitbounds,\"projection.scale\":n.scale},e=t._isScoped?{\"center.lon\":r.lon,\"center.lat\":r.lat}:t._isClipped?{\"projection.rotation.lon\":a.lon,\"projection.rotation.lat\":a.lat}:{\"center.lon\":r.lon,\"center.lat\":r.lat,\"projection.rotation.lon\":a.lon},i.extendFlat(this.viewInitial,e)},w.render=function(){var t,e=this.projection,r=e.getPath();function n(t){var r=e(t.lonlat);return r?\"translate(\"+r[0]+\",\"+r[1]+\")\":null}function a(t){return e.isLonLatOverEdges(t.lonlat)?\"none\":null}for(t in this.basePaths)this.basePaths[t].attr(\"d\",r);for(t in this.dataPaths)this.dataPaths[t].attr(\"d\",(function(t){return r(t.geojson)}));for(t in 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c}},{\"../registry\":881,\"./cartesian/constants\":804}],836:[function(t,e,r){\"use strict\";var n=t(\"mouse-change\"),a=t(\"mouse-wheel\"),i=t(\"mouse-event-offset\"),o=t(\"../cartesian/constants\"),s=t(\"has-passive-events\");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]}e.exports=function(t){var e=t.mouseContainer,r=t.glplot,c=new l(e,r);function u(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function h(e,n,a){var i,s,l=t.calcDataBox(),h=r.viewBox,f=c.lastPos[0],p=c.lastPos[1],d=o.MINDRAG*r.pixelRatio,g=o.MINZOOM*r.pixelRatio;function m(e,r,n){var a=Math.min(r,n),i=Math.max(r,n);a!==i?(l[e]=a,l[e+2]=i,c.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,a*=r.pixelRatio,a=h[3]-h[1]-a,t.fullLayout.dragmode){case\"zoom\":if(e){var v=n/(h[2]-h[0])*(l[2]-l[0])+l[0],y=a/(h[3]-h[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=a),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<g,b=Math.abs(c.dragStart[1]-a)<g;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,a=0;a<e.length;a++)if(-1!==e[a][r]){if(-1!==e[a][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{i=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(i*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(i)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(i>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(i=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],i||s?(i&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=a),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-a)<d&&(a=c.dragStart[1]),i=(f-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-a)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=i,l[2]+=i,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=a}return c.mouseListener=n(e,h),e.addEventListener(\"touchstart\",(function(t){var r=i(t.changedTouches[0],e);h(0,r[0],r[1]),h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=i(t.changedTouches[0],e);h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){h(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=a(e,(function(e,n){if(!t.scrollZoom)return!1;var a=t.calcDataBox(),i=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(i[3]-i[1])),h=o/(i[2]-i[0])*(a[2]-a[0])+a[0],f=s/(i[3]-i[1])*(a[3]-a[1])+a[1];return a[0]=(a[0]-h)*l+h,a[2]=(a[2]-h)*l+h,a[1]=(a[1]-f)*l+f,a[3]=(a[3]-f)*l+f,t.setRanges(a),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":804,\"has-passive-events\":415,\"mouse-change\":457,\"mouse-event-offset\":458,\"mouse-wheel\":460}],837:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),a=t(\"../../lib/str2rgbarray\");function i(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=i.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,i,o,l,c,u,h,f,p;for(this.titleEnable=!1,this.backgroundColor=a(t.plot_bgcolor),f=0;f<2;++f){var d=(e=s[f]).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[f+p]=!1,this.labels[f+p]=n,this.labelColor[f+p]=a(r.title.font.color),this.labelFont[f+p]=r.title.font.family,this.labelSize[f+p]=r.title.font.size,this.labelPad[f+p]=this.getLabelPad(e,r),this.tickEnable[f+p]=!1,this.tickColor[f+p]=a((r.tickfont||{}).color),this.tickAngle[f+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[f+p]=this.getTickPad(r),this.tickMarkLength[f+p]=0,this.tickMarkWidth[f+p]=r.tickwidth||0,this.tickMarkColor[f+p]=a(r.tickcolor),this.borderLineEnable[f+p]=!1,this.borderLineColor[f+p]=a(r.linecolor),this.borderLineWidth[f+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,i=r.mirror||!1,u=c?-1!==String(i).indexOf(\"all\"):!!i,h=c?\"allticks\"===i:-1!==String(i).indexOf(\"ticks\"),o?this.labelEnable[f]=!0:l&&(this.labelEnable[f+2]=!0),o?this.tickEnable[f]=r.showticklabels:l&&(this.tickEnable[f+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[f]=r.showline),(l||u)&&(this.borderLineEnable[f+2]=r.showline),(o||h)&&(this.tickMarkLength[f]=this.getTickMarkLength(r)),(l||h)&&(this.tickMarkLength[f+2]=this.getTickMarkLength(r)),this.gridLineEnable[f]=r.showgrid,this.gridLineColor[f]=a(r.gridcolor),this.gridLineWidth[f]=r.gridwidth,this.zeroLineEnable[f]=r.zeroline,this.zeroLineColor[f]=a(r.zerolinecolor),this.zeroLineWidth[f]=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=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.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},e.exports=function(t){return new i(t)}},{\"../../lib/str2rgbarray\":772,\"../cartesian/axes\":798}],838:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"./scene2d\"),i=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:i.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,i=0;i<n.length;i++){var o=n[i],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new a({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl2d||[],i=0;i<a.length;i++){var o=a[i],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var a=e._plots[r[n]]._scene2d,i=a.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":i,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),a.destroy()}},r.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)}}},{\"../../components/fx/layout_attributes\":656,\"../../constants/xmlns_namespaces\":725,\"../../plot_api/edit_types\":780,\"../cartesian\":811,\"../cartesian/attributes\":796,\"../cartesian/constants\":804,\"../get_data\":835,\"../layout_attributes\":852,\"./scene2d\":839}],839:[function(t,e,r){\"use strict\";var n,a,i=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"gl-plot2d\"),c=t(\"gl-spikes2d\"),u=t(\"gl-select-box\"),h=t(\"webgl-context\"),f=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),m=g.enforce,v=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").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=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(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())}e.exports=k;var M=k.prototype;M.makeFramework=function(){if(this.staticPlot){if(!(a||(n=document.createElement(\"canvas\"),a=h({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=a}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=h({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 i=this.svgContainer=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\";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(i),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},M.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,a=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 i=new Uint8Array(r*a*4);e.readPixels(0,0,r,a,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=a-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=i[4*(r*o+l)+c];i[4*(r*o+l)+c]=i[4*(r*s+l)+c],i[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=a;var f,p=h.getContext(\"2d\"),d=p.createImageData(r,a);switch(d.data.set(i),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),f},M.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,a=r.height,i=0|Math.ceil(e*n),o=0|Math.ceil(e*a);return t.width===i&&t.height===o||(t.width=i,t.height=o),t},M.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},M.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]},M.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,a={},o=a[e._name+\".range\"]=e.range.slice(),s=a[r._name+\".range\"]=r.range.slice();a[e._name+\".autorange\"]=e.autorange,a[r._name+\".autorange\"]=r.autorange,i.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,a);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,a.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",a)},M.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],a=e[r];if(n.length!==a.length)return!0;for(var i=0;i<n.length;++i)if(n[i].x!==a[i].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())},M.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&&i.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},M.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}},M.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 a=r.width,i=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,a,i];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,a-u.r-(1-h[1])*u.w,i-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+\"px\",this.mouseContainer.style.height=u.h*(f[1]-f[0])+\"px\",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();m(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},M.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,a=t.r2l,i=e.r2l;return[a(r[0]),i(n[0]),a(r[1]),i(n[1])]},M.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,a=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[a(t[1]),a(t[3])]},M.updateTraces=function(t,e){var r,n,a,i=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<i.length;r++){var o=i[r],s=this.traces[o];for(n=0;n<t.length;n++)if((a=t[n]).uid===o&&a.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){a=t[r];var l=e[r],c=this.traces[a.uid];c?c.update(a,l):(c=a._module.plot(this,a,l),this.traces[a.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},M.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},M.emitPointAction=function(t,e){for(var r,n=t.trace.uid,a=t.pointIndex,i=0;i<this.fullData.length;i++)this.fullData[i].uid===n&&(r=this.fullData[i]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:a,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,a),this.graphDiv.emit(e,{points:[o]})},M.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,a=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var i,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===a.dragmode){this.selectBox.enabled=!0;for(var c=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])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=a._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(i=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&i.object._trace.handlePick(i);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),i&&\"skip\"!==i.object._trace.hoverinfo&&a.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 g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:i.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(i.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])*(i.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var m=this.fullData[g.trace.index]||{},v=g.pointIndex,y=s.castHoverinfo(m,a,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(m,v,\"bgcolor\")||g.color,borderColor:s.castHoverOption(m,v,\"bordercolor\"),fontFamily:s.castHoverOption(m,v,\"font.family\"),fontSize:s.castHoverOption(m,v,\"font.size\"),fontColor:s.castHoverOption(m,v,\"font.color\"),nameLength:s.castHoverOption(m,v,\"namelength\"),textAlign:s.castHoverOption(m,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}i||this.unhover(),t.draw()}},M.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},M.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/dragelement/helpers\":633,\"../../components/fx\":655,\"../../lib/show_no_webgl_msg\":770,\"../../plots/cartesian/axes\":798,\"../../registry\":881,\"../cartesian/autorange\":797,\"../cartesian/constants\":804,\"../cartesian/constraints\":805,\"./camera\":836,\"./convert\":837,\"gl-plot2d\":298,\"gl-select-box\":310,\"gl-spikes2d\":319,\"webgl-context\":578}],840:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"../../components/fx/layout_attributes\"),i=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:a.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,a=0;a<n.length;a++){var s=n[a],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,h=c._scene;h||(h=new i({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),h.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl3d||[],i=0;i<a.length;i++){var o=a[i];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,a=0;a<r.length;a++){var i=e[r[a]],o=i.domain,s=i._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()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":656,\"../../constants/xmlns_namespaces\":725,\"../../lib\":749,\"../../plot_api/edit_types\":780,\"../get_data\":835,\"./layout/attributes\":841,\"./layout/defaults\":845,\"./layout/layout_attributes\":846,\"./scene\":850}],841:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],842:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),a=t(\"../../cartesian/layout_attributes\"),i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:a.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:a.color,categoryorder:a.categoryorder,categoryarray:a.categoryarray,title:{text:a.title.text,font:a.title.font},type:i({},a.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autorange:a.autorange,rangemode:a.rangemode,range:i({},a.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:a.tickmode,nticks:a.nticks,tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,mirror:a.mirror,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,showticklabels:a.showticklabels,tickfont:a.tickfont,tickangle:a.tickangle,tickprefix:a.tickprefix,showtickprefix:a.showtickprefix,ticksuffix:a.ticksuffix,showticksuffix:a.showticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,minexponent:a.minexponent,separatethousands:a.separatethousands,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:a.showline,linecolor:a.linecolor,linewidth:a.linewidth,showgrid:a.showgrid,gridcolor:i({},a.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:a.gridwidth,zeroline:a.zeroline,zerolinecolor:a.zerolinecolor,zerolinewidth:a.zerolinewidth,_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":615,\"../../../lib/extend\":739,\"../../../plot_api/edit_types\":780,\"../../cartesian/layout_attributes\":812}],843:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,a=t(\"../../../lib\"),i=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,h;function f(t,e){return a.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=i.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r),l(u,h,f,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f(\"gridcolor\",n(h.color,r.bgColor,13600/187).toRgbString()),f(\"title.text\",d[0]),h.setScale=a.noop,f(\"showspikes\")&&(f(\"spikesides\"),f(\"spikethickness\"),f(\"spikecolor\",h.color)),f(\"showaxeslabels\"),f(\"showbackground\")&&f(\"backgroundcolor\")}}},{\"../../../lib\":749,\"../../../plot_api/plot_template\":787,\"../../cartesian/axis_defaults\":800,\"../../cartesian/type_defaults\":823,\"./axis_attributes\":842,tinycolor2:548}],844:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=t(\"../../../lib\"),i=[\"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=0;r<3;++r){var o=e[i[r]];o.visible?(this.labels[r]=t._meta?a.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":749,\"../../../lib/str2rgbarray\":772}],845:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),a=t(\"../../../components/color\"),i=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=a.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],h=0;h<u.length;h++)r(\"camera.\"+u[h]+\".x\"),r(\"camera.\"+u[h]+\".y\"),r(\"camera.\"+u[h]+\".z\");r(\"camera.projection.type\");var f=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",f?\"manual\":\"auto\");f||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,fullLayout:n.fullLayout}),i.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(m&&v&&y?y/Math.sqrt(m*m+v*v+y*y)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var a=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!a)return n.validate(t[e],l[e])?t[e]:void 0},paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":615,\"../../../lib\":749,\"../../../registry\":881,\"../../get_data\":835,\"../../subplot_defaults\":875,\"./axis_defaults\":843,\"./layout_attributes\":846}],846:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),a=t(\"../../domain\").attributes,i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").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\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:i(s(0,0,1),{}),center:i(s(0,0,0),{}),eye:i(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:a({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\"}}}},{\"../../../lib\":749,\"../../../lib/extend\":739,\"../../domain\":825,\"./axis_attributes\":842}],847:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function i(){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]}i.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[a[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)}},e.exports=function(t){var e=new i;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":772}],848:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[i[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var f=u.nticks||a.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=h}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],a=new Array(n.length),i=0;i<n.length;++i)a[i]=n[i].x;e[r]=a}return e}(l)};var n=t(\"../../cartesian/axes\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":749,\"../../cartesian/axes\":798}],849:[function(t,e,r){\"use strict\";function n(t,e){var r,n,a=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)a[n]+=t[4*r+n]*e[r];return a}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],850:[function(t,e,r){\"use strict\";var n,a,i=t(\"gl-plot3d\"),o=i.createCamera,s=i.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),h=t(\"../../lib\"),f=t(\"../../plots/cartesian/axes\"),p=t(\"../../components/fx\"),d=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),m=t(\"./project\"),v=t(\"./layout/convert\"),y=t(\"./layout/spikes\"),x=t(\"./layout/tick_marks\"),b=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var a=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\",r.appendChild(a),this.svgContainer=a,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=v(e,e[this.id]),this.spikeOptions=y(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=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:b,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(a||(n=document.createElement(\"canvas\"),a=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=a,t.canvas=n}return t},w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode)e=!1;else try{h.warn([\"webgl setup failed possibly due to\",b?\"disabling\":\"enabling\",\"preserveDrawingBuffer config.\",\"The device may not be supported by is-mobile module!\",\"Inverting preserveDrawingBuffer option in second attempt to create webgl scene.\"].join(\" \")),b=t.glOptions.preserveDrawingBuffer=!t.glOptions.preserveDrawingBuffer,this.glplot=s(t)}catch(t){e=!1}}return e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.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},a=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas.addEventListener(\"mouseup\",(function(){a(t)})),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,i=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*i.x,y:n*i.y,z:n*i.z})}a(t)}}),!!c&&{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},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,a=e.container.getBoundingClientRect(),i=a.width,o=a.height;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+i+\" \"+o),n.setAttributeNS(null,\"width\",i),n.setAttributeNS(null,\"height\",o),x(e),e.glplot.axes.update(e.axesOptions);for(var s,l=Object.keys(e.traces),c=null,u=e.glplot.selection,d=0;d<l.length;++d)\"skip\"!==(t=e.traces[l[d]]).data.hoverinfo&&t.handlePick(u)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r){var n=e.fullSceneLayout[t];return f.tickText(n,n.d2l(r),\"hover\").text}if(null!==c){var v=m(e.glplot.cameraParams,u.dataCoordinate);t=c.data;var y,b=r._fullData[t.index],_=u.index,w={xLabel:g(\"xaxis\",u.traceCoordinate[0]),yLabel:g(\"yaxis\",u.traceCoordinate[1]),zLabel:g(\"zaxis\",u.traceCoordinate[2])},T=p.castHoverinfo(b,e.fullLayout,_),k=(T||\"\").split(\"+\"),M=T&&\"all\"===T;b.hovertemplate||M||(-1===k.indexOf(\"x\")&&(w.xLabel=void 0),-1===k.indexOf(\"y\")&&(w.yLabel=void 0),-1===k.indexOf(\"z\")&&(w.zLabel=void 0),-1===k.indexOf(\"text\")&&(u.textLabel=void 0),-1===k.indexOf(\"name\")&&(c.name=void 0));var A=[];\"cone\"===t.type||\"streamtube\"===t.type?(w.uLabel=g(\"xaxis\",u.traceCoordinate[3]),(M||-1!==k.indexOf(\"u\"))&&A.push(\"u: \"+w.uLabel),w.vLabel=g(\"yaxis\",u.traceCoordinate[4]),(M||-1!==k.indexOf(\"v\"))&&A.push(\"v: \"+w.vLabel),w.wLabel=g(\"zaxis\",u.traceCoordinate[5]),(M||-1!==k.indexOf(\"w\"))&&A.push(\"w: \"+w.wLabel),w.normLabel=u.traceCoordinate[6].toPrecision(3),(M||-1!==k.indexOf(\"norm\"))&&A.push(\"norm: \"+w.normLabel),\"streamtube\"===t.type&&(w.divergenceLabel=u.traceCoordinate[7].toPrecision(3),(M||-1!==k.indexOf(\"divergence\"))&&A.push(\"divergence: \"+w.divergenceLabel)),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(w.valueLabel=f.tickText(e._mockAxis,e._mockAxis.d2l(u.traceCoordinate[3]),\"hover\").text,A.push(\"value: \"+w.valueLabel),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):y=u.textLabel;var S={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:_};p.appendArrayPointValue(S,b,_),t._module.eventData&&(S=b._module.eventData(S,u,b,{},_));var E={points:[S]};e.fullSceneLayout.hovermode&&p.loneHover({trace:b,x:(.5+.5*v[0]/v[3])*i,y:(.5-.5*v[1]/v[3])*o,xLabel:w.xLabel,yLabel:w.yLabel,zLabel:w.zLabel,text:y,name:c.name,color:p.castHoverOption(b,_,\"bgcolor\")||c.color,borderColor:p.castHoverOption(b,_,\"bordercolor\"),fontFamily:p.castHoverOption(b,_,\"font.family\"),fontSize:p.castHoverOption(b,_,\"font.size\"),fontColor:p.castHoverOption(b,_,\"font.color\"),nameLength:p.castHoverOption(b,_,\"namelength\"),textAlign:p.castHoverOption(b,_,\"align\"),hovertemplate:h.castOption(b,_,\"hovertemplate\"),hovertemplateLabels:h.extendFlat({},S,w),eventData:[S]},{container:n,gd:r}),u.buttons&&u.distance<5?r.emit(\"plotly_click\",E):r.emit(\"plotly_hover\",E),s=E}else p.loneUnhover(n),r.emit(\"plotly_unhover\",s);e.drawAnnotations(e)},w.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):h.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var T=[\"xaxis\",\"yaxis\",\"zaxis\"];function k(t,e,r){for(var n=t.fullSceneLayout,a=0;a<3;a++){var i=T[a],o=i.charAt(0),s=n[i],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(h.isArrayOrTypedArray(l))for(var f,p=0;p<(u||l.length);p++)if(h.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)f=s.d2l(l[p][d],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else f=s.d2l(l[p],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else r[0][a]=Math.min(r[0][a],0),r[1][a]=Math.max(r[1][a],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,a,i,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(d(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&k(this,n,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],a=0;a<3;a++)for(var i=T[a],o=i.charAt(0),s=r[i],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][a]=Math.min(e[0][a],u),e[1][a]=Math.max(e[1][a],u))}}}(this,h);var f=[1,1,1];for(o=0;o<3;++o)h[1][o]===h[0][o]?f[o]=1:f[o]=1/(h[1][o]-h[0][o]);for(this.dataScale=f,this.convertAnnotations(this),i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&((a=this.traces[n.uid])?a.data.type===n.type?a.update(n):(a.dispose(),a=n._module.plot(this,n),this.traces[n.uid]=a):(a=n._module.plot(this,n),this.traces[n.uid]=a),a.name=n.name);var p=Object.keys(this.traces);t:for(i=0;i<p.length;++i){for(o=0;o<t.length;++o)if(t[o].uid===p[i]&&!0===t[o].visible&&0!==t[o]._length)continue t;(a=this.traces[p[i]]).dispose(),delete this.traces[p[i]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,m=[[0,0,0],[0,0,0]],v=[],y={};for(i=0;i<3;++i){if((l=(s=c[T[i]]).type)in y?(y[l].acc*=f[i],y[l].count+=1):y[l]={acc:f[i],count:1},s.autorange){m[0][i]=1/0,m[1][i]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],M=w.bounds,A=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?m[0][i]=Math.min(m[0][i],s._lowerLogErrorBound):m[0][i]=Math.min(m[0][i],M[0][i]/f[i]-A),m[1][i]=Math.max(m[1][i],M[1][i]/f[i]+A)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);m[0][i]=Math.min(m[0][i],E),m[1][i]=Math.max(m[1][i],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(m[0][i]=Math.min(m[0][i],0),m[1][i]=Math.max(m[1][i],0)),m[0][i]>m[1][i])m[0][i]=-1,m[1][i]=1;else{var C=m[1][i]-m[0][i];m[0][i]-=C/32,m[1][i]+=C/32}if(\"reversed\"===s.autorange){var L=m[0][i];m[0][i]=m[1][i],m[1][i]=L}}else{var P=s.range;m[0][i]=s.r2l(P[0]),m[1][i]=s.r2l(P[1])}m[0][i]===m[1][i]&&(m[0][i]-=1,m[1][i]+=1),v[i]=m[1][i]-m[0][i],this.glplot.setBounds(i,{min:m[0][i]*f[i],max:m[1][i]*f[i]})}var I=c.aspectmode;if(\"cube\"===I)g=[1,1,1];else if(\"manual\"===I){var z=c.aspectratio;g=[z.x,z.y,z.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var O=[1,1,1];for(i=0;i<3;++i){var D=y[l=(s=c[T[i]]).type];O[i]=Math.pow(D.acc,1/D.count)/f[i]}g=\"data\"===I||Math.max.apply(null,O)/Math.min.apply(null,O)<=4?O:[1,1,1]}c.aspectratio.x=u.aspectratio.x=g[0],c.aspectratio.y=u.aspectratio.y=g[1],c.aspectratio.z=u.aspectratio.z=g[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=h.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var a=[\"up\",\"center\",\"eye\"],i=[\"x\",\"y\",\"z\"];return e[a[r]]&&t[a[r]][i[n]]===e[a[r]][i[n]]}var a=!1;if(void 0===r)a=!0;else{for(var i=0;i<3;i++)for(var o=0;o<3;o++)if(!n(e,r,i,o)){a=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(a=!0)}return a},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=h.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,a,i,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),f=l||c;if(f){var p={};if(l&&(e=this.getCamera(),n=(r=h.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(a=this.glplot.getAspectratio(),o=(i=h.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),h.nestedProperty(s,this.id+\".camera\").set(e);if(c)i.set(a),h.nestedProperty(s,this.id+\".aspectratio\").set(a),this.glplot.redraw()}return f},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,a=n._fullLayout,i=this.fullSceneLayout.camera,o=i.up.x,s=i.up.y,l=i.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",f={x:0,y:0,z:1},p={};p[c]=f;var 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strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var a=new Array(n),i=0;i<n;i++)a[i]=[t[i],e[i],r[i]];return a}},{}],852:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),a=t(\"./animation_attributes\"),i=t(\"../components/color/attributes\"),o=t(\"../components/shapes/draw_newshape/attributes\"),s=t(\"./pad_attributes\"),l=t(\"../lib/extend\").extendFlat,c=n({editType:\"calc\"});c.family.dflt='\"Open Sans\", verdana, arial, sans-serif',c.size.dflt=12,c.color.dflt=i.defaultLine,e.exports={font:c,title:{text:{valType:\"string\",editType:\"layoutstyle\"},font:n({editType:\"layoutstyle\"}),xref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},x:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"layoutstyle\"},y:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"left\",\"center\",\"right\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"layoutstyle\"},pad:l(s({editType:\"layoutstyle\"}),{}),editType:\"layoutstyle\"},uniformtext:{mode:{valType:\"enumerated\",values:[!1,\"hide\",\"show\"],dflt:!1,editType:\"plot\"},minsize:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"},autosize:{valType:\"boolean\",dflt:!1,editType:\"none\"},width:{valType:\"number\",min:10,dflt:700,editType:\"plot\"},height:{valType:\"number\",min:10,dflt:450,editType:\"plot\"},margin:{l:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},r:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},t:{valType:\"number\",min:0,dflt:100,editType:\"plot\"},b:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},autoexpand:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},paper_bgcolor:{valType:\"color\",dflt:i.background,editType:\"plot\"},plot_bgcolor:{valType:\"color\",dflt:i.background,editType:\"layoutstyle\"},separators:{valType:\"string\",editType:\"plot\"},hidesources:{valType:\"boolean\",dflt:!1,editType:\"plot\"},showlegend:{valType:\"boolean\",editType:\"legend\"},colorway:{valType:\"colorlist\",dflt:i.defaults,editType:\"calc\"},datarevision:{valType:\"any\",editType:\"calc\"},uirevision:{valType:\"any\",editType:\"none\"},editrevision:{valType:\"any\",editType:\"none\"},selectionrevision:{valType:\"any\",editType:\"none\"},template:{valType:\"any\",editType:\"calc\"},modebar:{orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\",editType:\"modebar\"},bgcolor:{valType:\"color\",editType:\"modebar\"},color:{valType:\"color\",editType:\"modebar\"},activecolor:{valType:\"color\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"modebar\"},newshape:o.newshape,activeshape:o.activeshape,meta:{valType:\"any\",arrayOk:!0,editType:\"plot\"},transition:l({},a.transition,{editType:\"none\"}),_deprecated:{title:{valType:\"string\",editType:\"layoutstyle\"},titlefont:n({editType:\"layoutstyle\"})}}},{\"../components/color/attributes\":614,\"../components/shapes/draw_newshape/attributes\":697,\"../lib/extend\":739,\"./animation_attributes\":792,\"./font_attributes\":826,\"./pad_attributes\":860}],853:[function(t,e,r){\"use strict\";var n={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:'<a href=\"http://www.openstreetmap.org/about/\" target=\"_blank\">\\xa9 OpenStreetMap</a>',tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:'<a href=\"https://carto.com/\" target=\"_blank\">\\xa9 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n=t(\"../../lib\"),a=t(\"../../lib/svg_text_utils\").sanitizeHTML,i=t(\"./convert_text_opts\"),o=t(\"./constants\");function s(t,e){this.subplot=t,this.uid=t.uid+\"-\"+e,this.index=e,this.idSource=\"source-\"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if(\"string\"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function u(t){var 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n=t(\"mapbox-gl\"),a=t(\"../../lib\"),i=t(\"../../lib/geo_location_utils\"),o=t(\"../../registry\"),s=t(\"../cartesian/axes\"),l=t(\"../../components/dragelement\"),c=t(\"../../components/fx\"),u=t(\"../../components/dragelement/helpers\"),h=u.rectMode,f=u.drawMode,p=u.selectMode,d=t(\"../cartesian/select\").prepSelect,g=t(\"../cartesian/select\").clearSelect,m=t(\"../cartesian/select\").clearSelectionsCache,v=t(\"../cartesian/select\").selectOnClick,y=t(\"./constants\"),x=t(\"./layers\");function b(t,e){this.id=e,this.gd=t;var r=t._fullLayout,n=t._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var _=b.prototype;_.plot=function(t,e,r){var n,a=this,i=e[a.id];a.map&&i.accesstoken!==a.accessToken&&(a.map.remove(),a.map=null,a.styleObj=null,a.traceHash={},a.layerList=[]),n=a.map?new Promise((function(r,n){a.updateMap(t,e,r,n)})):new Promise((function(r,n){a.createMap(t,e,r,n)})),r.push(n)},_.createMap=function(t,e,r,a){var o=this,s=e[o.id],l=o.styleObj=T(s.style);o.accessToken=s.accesstoken;var c=o.map=new n.Map({container:o.div,style:l.style,center:M(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));c._canvas.style.left=\"0px\",c._canvas.style.top=\"0px\",o.rejectOnError(a),o.isStatic||o.initFx(t,e);var u=[];u.push(new Promise((function(t){c.once(\"load\",t)}))),u=u.concat(i.fetchTraceGeoData(t)),Promise.all(u).then((function(){o.fillBelowLookup(t,e),o.updateData(t),o.updateLayout(e),o.resolveOnRender(r)})).catch(a)},_.updateMap=function(t,e,r,n){var a=this,o=a.map,s=e[this.id];a.rejectOnError(n);var l=[],c=T(s.style);JSON.stringify(a.styleObj)!==JSON.stringify(c)&&(a.styleObj=c,o.setStyle(c.style),a.traceHash={},l.push(new Promise((function(t){o.once(\"styledata\",t)})))),l=l.concat(i.fetchTraceGeoData(t)),Promise.all(l).then((function(){a.fillBelowLookup(t,e),a.updateData(t),a.updateLayout(e),a.resolveOnRender(r)})).catch(n)},_.fillBelowLookup=function(t,e){var r,n,a=e[this.id].layers,i=this.belowLookup={},o=!1;for(r=0;r<t.length;r++){var s=t[r][0].trace,l=s._module;\"string\"==typeof s.below?n=s.below:l.getBelow&&(n=l.getBelow(s,this)),\"\"===n&&(o=!0),i[\"trace-\"+s.uid]=n||\"\"}for(r=0;r<a.length;r++){var c=a[r];n=\"string\"==typeof c.below?c.below:o?\"traces\":\"\",i[\"layout-\"+r]=n}var u,h,f={};for(u in i)f[n=i[u]]?f[n].push(u):f[n]=[u];for(n in f){var 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\"+c.t+\", r: \"+c.r,h=this.getBoundingClientRect(),f=t.node().getBoundingClientRect(),p=[h.left+h.width/2-U[0]-f.left,h.top+h.height/2-U[1]-f.top];ut.config({color:s}).text(u),ut.move(p)}else i=this.style.stroke||\"black\",a.attr({\"data-stroke\":i}),s=n.hsl(i).darker().toString(),a.style({stroke:s,opacity:1})})).on(\"mousemove.tooltip\",(function(t,e){if(0!=n.event.which)return!1;n.select(this).attr(\"data-fill\")&&ut.show()})).on(\"mouseout.tooltip\",(function(t,e){ut.hide();var r=n.select(this),a=r.attr(\"data-fill\");a?r.style({fill:a,opacity:r.attr(\"data-opacity\")}):r.style({stroke:r.attr(\"data-stroke\"),opacity:r.attr(\"data-opacity\")})}))}))}(c),this},f.config=function(t){if(!arguments.length)return l;var e=o.util.cloneJson(t);return e.data.forEach((function(t,e){l.data[e]||(l.data[e]={}),a(l.data[e],o.Axis.defaultConfig().data[0]),a(l.data[e],t)})),a(l.layout,o.Axis.defaultConfig().layout),a(l.layout,e.layout),this},f.getLiveConfig=function(){return u},f.getinputConfig=function(){return c},f.radialScale=function(t){return r},f.angularScale=function(t){return s},f.svg=function(){return t},n.rebind(f,h,\"on\"),f},o.Axis.defaultConfig=function(t,e){return{data:[{t:[1,2,3,4],r:[10,11,12,13],name:\"Line1\",geometry:\"LinePlot\",color:null,strokeDash:\"solid\",strokeColor:null,strokeSize:\"1\",visibleInLegend:!0,opacity:1}],layout:{defaultColorRange:n.scale.category10().range(),title:null,height:450,width:500,margin:{top:40,right:40,bottom:40,left:40},font:{size:12,color:\"gray\",outlineColor:\"white\",family:\"Tahoma, sans-serif\"},direction:\"clockwise\",orientation:0,labelOffset:10,radialAxis:{domain:null,orientation:-45,ticksSuffix:\"\",visible:!0,gridLinesVisible:!0,tickOrientation:\"horizontal\",rewriteTicks:null},angularAxis:{domain:[0,360],ticksSuffix:\"\",visible:!0,gridLinesVisible:!0,labelsVisible:!0,tickOrientation:\"horizontal\",rewriteTicks:null,ticksCount:null,ticksStep:null},minorTicks:0,tickLength:null,tickColor:\"silver\",minorTickColor:\"#eee\",backgroundColor:\"none\",needsEndSpacing:null,showLegend:!0,legend:{reverseOrder:!1},opacity:1}}},o.util={},o.DATAEXTENT=\"dataExtent\",o.AREA=\"AreaChart\",o.LINE=\"LinePlot\",o.DOT=\"DotPlot\",o.BAR=\"BarChart\",o.util._override=function(t,e){for(var r in t)r in e&&(e[r]=t[r])},o.util._extend=function(t,e){for(var r in t)e[r]=t[r]},o.util._rndSnd=function(){return 2*Math.random()-1+(2*Math.random()-1)+(2*Math.random()-1)},o.util.dataFromEquation2=function(t,e){var r=e||6;return n.range(0,360+r,r).map((function(e,r){var n=e*Math.PI/180;return[e,t(n)]}))},o.util.dataFromEquation=function(t,e,r){var a=e||6,i=[],o=[];n.range(0,360+a,a).forEach((function(e,r){var n=e*Math.PI/180,a=t(n);i.push(e),o.push(a)}));var s={t:i,r:o};return r&&(s.name=r),s},o.util.ensureArray=function(t,e){if(\"undefined\"==typeof t)return null;var r=[].concat(t);return n.range(e).map((function(t,e){return r[e]||r[0]}))},o.util.fillArrays=function(t,e,r){return e.forEach((function(e,n){t[e]=o.util.ensureArray(t[e],r)})),t},o.util.cloneJson=function(t){return JSON.parse(JSON.stringify(t))},o.util.validateKeys=function(t,e){\"string\"==typeof e&&(e=e.split(\".\"));var r=e.shift();return t[r]&&(!e.length||objHasKeys(t[r],e))},o.util.sumArrays=function(t,e){return n.zip(t,e).map((function(t,e){return n.sum(t)}))},o.util.arrayLast=function(t){return t[t.length-1]},o.util.arrayEqual=function(t,e){for(var r=Math.max(t.length,e.length,1);r-- >=0&&t[r]===e[r];);return-2===r},o.util.flattenArray=function(t){for(var e=[];!o.util.arrayEqual(e,t);)e=t,t=[].concat.apply([],t);return t},o.util.deduplicate=function(t){return t.filter((function(t,e,r){return r.indexOf(t)==e}))},o.util.convertToCartesian=function(t,e){var r=e*Math.PI/180;return[t*Math.cos(r),t*Math.sin(r)]},o.util.round=function(t,e){var r=e||2,n=Math.pow(10,r);return Math.round(t*n)/n},o.util.getMousePos=function(t){var e=n.mouse(t.node()),r=e[0],a=e[1],i={};return i.x=r,i.y=a,i.pos=e,i.angle=180*(Math.atan2(a,r)+Math.PI)/Math.PI,i.radius=Math.sqrt(r*r+a*a),i},o.util.duplicatesCount=function(t){for(var e,r={},n={},a=0,i=t.length;a<i;a++)(e=t[a])in r?(r[e]++,n[e]=r[e]):r[e]=1;return n},o.util.duplicates=function(t){return Object.keys(o.util.duplicatesCount(t))},o.util.translator=function(t,e,r,n){if(n){var a=r.slice();r=e,e=a}var i=e.reduce((function(t,e){if(\"undefined\"!=typeof t)return t[e]}),t);\"undefined\"!=typeof i&&(e.reduce((function(t,r,n){if(\"undefined\"!=typeof t)return n===e.length-1&&delete t[r],t[r]}),t),r.reduce((function(t,e,n){return\"undefined\"==typeof t[e]&&(t[e]={}),n===r.length-1&&(t[e]=i),t[e]}),t))},o.PolyChart=function(){var t=[o.PolyChart.defaultConfig()],e=n.dispatch(\"hover\"),r={solid:\"none\",dash:[5,2],dot:[2,5]};function i(){var e=t[0].geometryConfig,a=e.container;\"string\"==typeof a&&(a=n.select(a)),a.datum(t).each((function(t,a){var i=!!t[0].data.yStack,o=t.map((function(t,e){return i?n.zip(t.data.t[0],t.data.r[0],t.data.yStack[0]):n.zip(t.data.t[0],t.data.r[0])})),s=e.angularScale,l=e.radialScale.domain()[0],c={bar:function(r,a,i){var o=t[i].data,l=e.radialScale(r[1])-e.radialScale(0),c=e.radialScale(r[2]||0),u=o.barWidth;n.select(this).attr({class:\"mark bar\",d:\"M\"+[[l+c,-u/2],[l+c,u/2],[c,u/2],[c,-u/2]].join(\"L\")+\"Z\",transform:function(t,r){return\"rotate(\"+(e.orientation+s(t[0]))+\")\"}})}};c.dot=function(r,a,i){var o=r[2]?[r[0],r[1]+r[2]]:r,s=n.svg.symbol().size(t[i].data.dotSize).type(t[i].data.dotType)(r,a);n.select(this).attr({class:\"mark dot\",d:s,transform:function(t,r){var n,a,i,s=(n=function(t,r){var n=e.radialScale(t[1]),a=(e.angularScale(t[0])+e.orientation)*Math.PI/180;return{r:n,t:a}}(o),a=n.r*Math.cos(n.t),i=n.r*Math.sin(n.t),{x:a,y:i});return\"translate(\"+[s.x,s.y]+\")\"}})};var u=n.svg.line.radial().interpolate(t[0].data.lineInterpolation).radius((function(t){return e.radialScale(t[1])})).angle((function(t){return e.angularScale(t[0])*Math.PI/180}));c.line=function(r,a,i){var s=r[2]?o[i].map((function(t,e){return[t[0],t[1]+t[2]]})):o[i];if(n.select(this).each(c.dot).style({opacity:function(e,r){return+t[i].data.dotVisible},fill:d.stroke(r,a,i)}).attr({class:\"mark dot\"}),!(a>0)){var l=n.select(this.parentNode).selectAll(\"path.line\").data([0]);l.enter().insert(\"path\"),l.attr({class:\"line\",d:u(s),transform:function(t,r){return\"rotate(\"+(e.orientation+90)+\")\"},\"pointer-events\":\"none\"}).style({fill:function(t,e){return d.fill(r,a,i)},\"fill-opacity\":0,stroke:function(t,e){return d.stroke(r,a,i)},\"stroke-width\":function(t,e){return d[\"stroke-width\"](r,a,i)},\"stroke-dasharray\":function(t,e){return d[\"stroke-dasharray\"](r,a,i)},opacity:function(t,e){return d.opacity(r,a,i)},display:function(t,e){return d.display(r,a,i)}})}};var h=e.angularScale.range(),f=Math.abs(h[1]-h[0])/o[0].length*Math.PI/180,p=n.svg.arc().startAngle((function(t){return-f/2})).endAngle((function(t){return f/2})).innerRadius((function(t){return e.radialScale(l+(t[2]||0))})).outerRadius((function(t){return e.radialScale(l+(t[2]||0))+e.radialScale(t[1])}));c.arc=function(t,r,a){n.select(this).attr({class:\"mark arc\",d:p,transform:function(t,r){return\"rotate(\"+(e.orientation+s(t[0])+90)+\")\"}})};var d={fill:function(e,r,n){return t[n].data.color},stroke:function(e,r,n){return t[n].data.strokeColor},\"stroke-width\":function(e,r,n){return t[n].data.strokeSize+\"px\"},\"stroke-dasharray\":function(e,n,a){return r[t[a].data.strokeDash]},opacity:function(e,r,n){return t[n].data.opacity},display:function(e,r,n){return\"undefined\"==typeof t[n].data.visible||t[n].data.visible?\"block\":\"none\"}},g=n.select(this).selectAll(\"g.layer\").data(o);g.enter().append(\"g\").attr({class:\"layer\"});var m=g.selectAll(\"path.mark\").data((function(t,e){return t}));m.enter().append(\"path\").attr({class:\"mark\"}),m.style(d).each(c[e.geometryType]),m.exit().remove(),g.exit().remove()}))}return i.config=function(e){return arguments.length?(e.forEach((function(e,r){t[r]||(t[r]={}),a(t[r],o.PolyChart.defaultConfig()),a(t[r],e)})),this):t},i.getColorScale=function(){},n.rebind(i,e,\"on\"),i},o.PolyChart.defaultConfig=function(){return{data:{name:\"geom1\",t:[[1,2,3,4]],r:[[1,2,3,4]],dotType:\"circle\",dotSize:64,dotVisible:!1,barWidth:20,color:\"#ffa500\",strokeSize:1,strokeColor:\"silver\",strokeDash:\"solid\",opacity:1,index:0,visible:!0,visibleInLegend:!0},geometryConfig:{geometry:\"LinePlot\",geometryType:\"arc\",direction:\"clockwise\",orientation:0,container:\"body\",radialScale:null,angularScale:null,colorScale:n.scale.category20()}}},o.BarChart=function(){return o.PolyChart()},o.BarChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"bar\"}}},o.AreaChart=function(){return o.PolyChart()},o.AreaChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"arc\"}}},o.DotPlot=function(){return o.PolyChart()},o.DotPlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"dot\",dotType:\"circle\"}}},o.LinePlot=function(){return o.PolyChart()},o.LinePlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"line\"}}},o.Legend=function(){var t=o.Legend.defaultConfig(),e=n.dispatch(\"hover\");function r(){var e=t.legendConfig,i=t.data.map((function(t,r){return[].concat(t).map((function(t,n){var i=a({},e.elements[r]);return i.name=t,i.color=[].concat(e.elements[r].color)[n],i}))})),o=n.merge(i);o=o.filter((function(t,r){return e.elements[r]&&(e.elements[r].visibleInLegend||\"undefined\"==typeof e.elements[r].visibleInLegend)})),e.reverseOrder&&(o=o.reverse());var s=e.container;(\"string\"==typeof s||s.nodeName)&&(s=n.select(s));var l=o.map((function(t,e){return t.color})),c=e.fontSize,u=null==e.isContinuous?\"number\"==typeof o[0]:e.isContinuous,h=u?e.height:c*o.length,f=s.classed(\"legend-group\",!0).selectAll(\"svg\").data([0]),p=f.enter().append(\"svg\").attr({width:300,height:h+c,xmlns:\"http://www.w3.org/2000/svg\",\"xmlns:xlink\":\"http://www.w3.org/1999/xlink\",version:\"1.1\"});p.append(\"g\").classed(\"legend-axis\",!0),p.append(\"g\").classed(\"legend-marks\",!0);var d=n.range(o.length),g=n.scale[u?\"linear\":\"ordinal\"]().domain(d).range(l),m=n.scale[u?\"linear\":\"ordinal\"]().domain(d)[u?\"range\":\"rangePoints\"]([0,h]);if(u){var v=f.select(\".legend-marks\").append(\"defs\").append(\"linearGradient\").attr({id:\"grad1\",x1:\"0%\",y1:\"0%\",x2:\"0%\",y2:\"100%\"}).selectAll(\"stop\").data(l);v.enter().append(\"stop\"),v.attr({offset:function(t,e){return e/(l.length-1)*100+\"%\"}}).style({\"stop-color\":function(t,e){return t}}),f.append(\"rect\").classed(\"legend-mark\",!0).attr({height:e.height,width:e.colorBandWidth,fill:\"url(#grad1)\"})}else{var y=f.select(\".legend-marks\").selectAll(\"path.legend-mark\").data(o);y.enter().append(\"path\").classed(\"legend-mark\",!0),y.attr({transform:function(t,e){return\"translate(\"+[c/2,m(e)+c/2]+\")\"},d:function(t,e){var r,a,i,o=t.symbol;return i=3*(a=c),\"line\"===(r=o)?\"M\"+[[-a/2,-a/12],[a/2,-a/12],[a/2,a/12],[-a/2,a/12]]+\"Z\":-1!=n.svg.symbolTypes.indexOf(r)?n.svg.symbol().type(r).size(i)():n.svg.symbol().type(\"square\").size(i)()},fill:function(t,e){return g(e)}}),y.exit().remove()}var x=n.svg.axis().scale(m).orient(\"right\"),b=f.select(\"g.legend-axis\").attr({transform:\"translate(\"+[u?e.colorBandWidth:c,c/2]+\")\"}).call(x);return b.selectAll(\".domain\").style({fill:\"none\",stroke:\"none\"}),b.selectAll(\"line\").style({fill:\"none\",stroke:u?e.textColor:\"none\"}),b.selectAll(\"text\").style({fill:e.textColor,\"font-size\":e.fontSize}).text((function(t,e){return o[e].name})),r}return r.config=function(e){return arguments.length?(a(t,e),this):t},n.rebind(r,e,\"on\"),r},o.Legend.defaultConfig=function(t,e){return{data:[\"a\",\"b\",\"c\"],legendConfig:{elements:[{symbol:\"line\",color:\"red\"},{symbol:\"square\",color:\"yellow\"},{symbol:\"diamond\",color:\"limegreen\"}],height:150,colorBandWidth:30,fontSize:12,container:\"body\",isContinuous:null,textColor:\"grey\",reverseOrder:!1}}},o.tooltipPanel=function(){var t,e,r,i={container:null,hasTick:!1,fontSize:12,color:\"white\",padding:5},s=\"tooltip-\"+o.tooltipPanel.uid++,l=10,c=function(){var n=(t=i.container.selectAll(\"g.\"+s).data([0])).enter().append(\"g\").classed(s,!0).style({\"pointer-events\":\"none\",display:\"none\"});return r=n.append(\"path\").style({fill:\"white\",\"fill-opacity\":.9}).attr({d:\"M0 0\"}),e=n.append(\"text\").attr({dx:i.padding+l,dy:.3*+i.fontSize}),c};return c.text=function(a){var o=n.hsl(i.color).l,s=o>=.5?\"#aaa\":\"white\",u=o>=.5?\"black\":\"white\",h=a||\"\";e.style({fill:u,\"font-size\":i.fontSize+\"px\"}).text(h);var f=i.padding,p=e.node().getBBox(),d={fill:i.color,stroke:s,\"stroke-width\":\"2px\"},g=p.width+2*f+l,m=p.height+2*f;return r.attr({d:\"M\"+[[l,-m/2],[l,-m/4],[i.hasTick?0:l,0],[l,m/4],[l,m/2],[g,m/2],[g,-m/2]].join(\"L\")+\"Z\"}).style(d),t.attr({transform:\"translate(\"+[l,-m/2+2*f]+\")\"}),t.style({display:\"block\"}),c},c.move=function(e){if(t)return t.attr({transform:\"translate(\"+[e[0],e[1]]+\")\"}).style({display:\"block\"}),c},c.hide=function(){if(t)return t.style({display:\"none\"}),c},c.show=function(){if(t)return t.style({display:\"block\"}),c},c.config=function(t){return a(i,t),c},c},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&&(r.data=t.data.map((function(t,r){var n=a({},t);return[[n,[\"marker\",\"color\"],[\"color\"]],[n,[\"marker\",\"opacity\"],[\"opacity\"]],[n,[\"marker\",\"line\",\"color\"],[\"strokeColor\"]],[n,[\"marker\",\"line\",\"dash\"],[\"strokeDash\"]],[n,[\"marker\",\"line\",\"width\"],[\"strokeSize\"]],[n,[\"marker\",\"symbol\"],[\"dotType\"]],[n,[\"marker\",\"size\"],[\"dotSize\"]],[n,[\"marker\",\"barWidth\"],[\"barWidth\"]],[n,[\"line\",\"interpolation\"],[\"lineInterpolation\"]],[n,[\"showlegend\"],[\"visibleInLegend\"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e||delete n.marker,e&&delete n.groupId,e?(\"LinePlot\"===n.geometry?(n.type=\"scatter\",!0===n.dotVisible?(delete n.dotVisible,n.mode=\"lines+markers\"):n.mode=\"lines\"):\"DotPlot\"===n.geometry?(n.type=\"scatter\",n.mode=\"markers\"):\"AreaChart\"===n.geometry?n.type=\"area\":\"BarChart\"===n.geometry&&(n.type=\"bar\"),delete n.geometry):(\"scatter\"===n.type?\"lines\"===n.mode?n.geometry=\"LinePlot\":\"markers\"===n.mode?n.geometry=\"DotPlot\":\"lines+markers\"===n.mode&&(n.geometry=\"LinePlot\",n.dotVisible=!0):\"area\"===n.type?n.geometry=\"AreaChart\":\"bar\"===n.type&&(n.geometry=\"BarChart\"),delete n.mode,delete n.type),n})),!e&&t.layout&&\"stack\"===t.layout.barmode)){var i=o.util.duplicates(r.data.map((function(t,e){return t.geometry})));r.data.forEach((function(t,e){var n=i.indexOf(t.geometry);-1!=n&&(r.data[e].groupId=n)}))}if(t.layout){var s=a({},t.layout);if([[s,[\"plot_bgcolor\"],[\"backgroundColor\"]],[s,[\"showlegend\"],[\"showLegend\"]],[s,[\"radialaxis\"],[\"radialAxis\"]],[s,[\"angularaxis\"],[\"angularAxis\"]],[s.angularaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularaxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularaxis,[\"nticks\"],[\"ticksCount\"]],[s.angularaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularaxis,[\"range\"],[\"domain\"]],[s.angularaxis,[\"endpadding\"],[\"endPadding\"]],[s.radialaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialaxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularAxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularAxis,[\"nticks\"],[\"ticksCount\"]],[s.angularAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularAxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"endpadding\"],[\"endPadding\"]],[s.radialAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialAxis,[\"range\"],[\"domain\"]],[s.font,[\"outlinecolor\"],[\"outlineColor\"]],[s.legend,[\"traceorder\"],[\"reverseOrder\"]],[s,[\"labeloffset\"],[\"labelOffset\"]],[s,[\"defaultcolorrange\"],[\"defaultColorRange\"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e?(\"undefined\"!=typeof s.tickLength&&(s.angularaxis.ticklen=s.tickLength,delete s.tickLength),s.tickColor&&(s.angularaxis.tickcolor=s.tickColor,delete s.tickColor)):(s.angularAxis&&\"undefined\"!=typeof s.angularAxis.ticklen&&(s.tickLength=s.angularAxis.ticklen),s.angularAxis&&\"undefined\"!=typeof s.angularAxis.tickcolor&&(s.tickColor=s.angularAxis.tickcolor)),s.legend&&\"boolean\"!=typeof s.legend.reverseOrder&&(s.legend.reverseOrder=\"normal\"!=s.legend.reverseOrder),s.legend&&\"boolean\"==typeof s.legend.traceorder&&(s.legend.traceorder=s.legend.traceorder?\"reversed\":\"normal\",delete s.legend.reverseOrder),s.margin&&\"undefined\"!=typeof s.margin.t){var l=[\"t\",\"r\",\"b\",\"l\",\"pad\"],c=[\"top\",\"right\",\"bottom\",\"left\",\"pad\"],u={};n.entries(s.margin).forEach((function(t,e){u[c[l.indexOf(t.key)]]=t.value})),s.margin=u}e&&(delete s.needsEndSpacing,delete s.minorTickColor,delete s.minorTicks,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksStep,delete s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{\"../../../constants/alignment\":717,\"../../../lib\":749,d3:169}],871:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../../lib\"),i=t(\"../../../components/color\"),o=t(\"./micropolar\"),s=t(\"./undo_manager\"),l=a.extendDeepAll,c=e.exports={};c.framework=function(t){var e,r,a,i,u,h=new s;function f(r,s){return s&&(u=s),n.select(n.select(u).node().parentNode).selectAll(\".svg-container>*:not(.chart-root)\").remove(),e=e?l(e,r):r,a||(a=o.Axis()),i=o.adapter.plotly().convert(e),a.config(i).render(u),t.data=e.data,t.layout=e.layout,c.fillLayout(t),e}return f.isPolar=!0,f.svg=function(){return a.svg()},f.getConfig=function(){return e},f.getLiveConfig=function(){return o.adapter.plotly().convert(a.getLiveConfig(),!0)},f.getLiveScales=function(){return{t:a.angularScale(),r:a.radialScale()}},f.setUndoPoint=function(){var t,n,a=this,i=o.util.cloneJson(e);t=i,n=r,h.add({undo:function(){n&&a(n)},redo:function(){a(t)}}),r=o.util.cloneJson(i)},f.undo=function(){h.undo()},f.redo=function(){h.redo()},f},c.fillLayout=function(t){var e=n.select(t).selectAll(\".plot-container\"),r=e.selectAll(\".svg-container\"),a=t.framework&&t.framework.svg&&t.framework.svg(),o={width:800,height:600,paper_bgcolor:i.background,_container:e,_paperdiv:r,_paper:a};t._fullLayout=l(o,t.layout)}},{\"../../../components/color\":615,\"../../../lib\":749,\"./micropolar\":870,\"./undo_manager\":872,d3:169}],872:[function(t,e,r){\"use strict\";e.exports=function(){var t,e=[],r=-1,n=!1;function a(t,e){return t?(n=!0,t[e](),n=!1,this):this}return{add:function(t){return n||(e.splice(r+1,e.length-r),e.push(t),r=e.length-1),this},setCallback:function(e){t=e},undo:function(){var n=e[r];return n?(a(n,\"undo\"),r-=1,t&&t(n.undo),this):this},redo:function(){var n=e[r+1];return n?(a(n,\"redo\"),r+=1,t&&t(n.redo),this):this},clear:function(){e=[],r=-1},hasUndo:function(){return-1!==r},hasRedo:function(){return r<e.length-1},getCommands:function(){return e},getPreviousCommand:function(){return e[r-1]},getIndex:function(){return r}}}},{}],873:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=t(\"../../components/color\"),l=t(\"../../components/drawing\"),c=t(\"../plots\"),u=t(\"../../plots/cartesian/axes\"),h=t(\"../cartesian/set_convert\"),f=t(\"./set_convert\"),p=t(\"../cartesian/autorange\").doAutoRange,d=t(\"../cartesian/dragbox\"),g=t(\"../../components/dragelement\"),m=t(\"../../components/fx\"),v=t(\"../../components/titles\"),y=t(\"../cartesian/select\").prepSelect,x=t(\"../cartesian/select\").selectOnClick,b=t(\"../cartesian/select\").clearSelect,_=t(\"../../lib/setcursor\"),w=t(\"../../lib/clear_gl_canvases\"),T=t(\"../../plot_api/subroutines\").redrawReglTraces,k=t(\"../../constants/alignment\").MID_SHIFT,M=t(\"./constants\"),A=t(\"./helpers\"),S=o._,E=o.mod,C=o.deg2rad,L=o.rad2deg;function P(t,e){this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var r=t._fullLayout,n=\"clip\"+r._uid+e;this.clipIds.forTraces=n+\"-for-traces\",this.clipPaths.forTraces=r._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=r._polarlayer.append(\"g\").attr(\"class\",e),this.radialTickLayout=null,this.angularTickLayout=null}var I=P.prototype;function z(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function O(t,e){return e[o.findIndexOfMin(e,(function(e){return o.angleDist(t,e)}))]}function D(t,e,r){return e?(t.attr(\"display\",null),t.attr(r)):t&&t.attr(\"display\",\"none\"),t}function R(t,e){return\"translate(\"+t+\",\"+e+\")\"}function F(t){return\"rotate(\"+t+\")\"}e.exports=function(t,e){return new P(t,e)},I.plot=function(t,e){var r=e[this.id];this._hasClipOnAxisFalse=!1;for(var n=0;n<t.length;n++){if(!1===t[n][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(e,r),this.updateLayout(e,r),c.generalUpdatePerTraceModule(this.gd,this,t,r),this.updateFx(e,r)},I.updateLayers=function(t,e){var r=this.layers,a=e.radialaxis,i=e.angularaxis,o=M.layerNames,s=o.indexOf(\"frontplot\"),l=o.slice(0,s),c=\"below traces\"===i.layer,u=\"below traces\"===a.layer;c&&l.push(\"angular-line\"),u&&l.push(\"radial-line\"),c&&l.push(\"angular-axis\"),u&&l.push(\"radial-axis\"),l.push(\"frontplot\"),c||l.push(\"angular-line\"),u||l.push(\"radial-line\"),c||l.push(\"angular-axis\"),u||l.push(\"radial-axis\");var h=this.framework.selectAll(\".polarsublayer\").data(l,String);h.enter().append(\"g\").attr(\"class\",(function(t){return\"polarsublayer \"+t})).each((function(t){var e=r[t]=n.select(this);switch(t){case\"frontplot\":e.append(\"g\").classed(\"barlayer\",!0),e.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":e.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":r.bg=e.append(\"path\");break;case\"radial-grid\":case\"angular-grid\":e.style(\"fill\",\"none\");break;case\"radial-line\":e.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":e.append(\"path\").style(\"fill\",\"none\")}})),h.order()},I.updateLayout=function(t,e){var r=this.layers,n=t._size,a=e.radialaxis,i=e.angularaxis,o=e.domain.x,c=e.domain.y;this.xOffset=n.l+n.w*o[0],this.yOffset=n.t+n.h*(1-c[1]);var u=this.xLength=n.w*(o[1]-o[0]),h=this.yLength=n.h*(c[1]-c[0]),f=e.sector;this.sectorInRad=f.map(C);var p,d,g,m,v,y=this.sectorBBox=function(t){var e,r,n,a,i=t[0],o=t[1]-i,s=E(i,360),l=s+o,c=Math.cos(C(s)),u=Math.sin(C(s)),h=Math.cos(C(l)),f=Math.sin(C(l));a=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&f<=0?0:Math.max(u,f);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&h>=0?0:Math.min(c,h);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&f>=0?0:Math.min(u,f);n=l>=360?1:c<=0&&h<=0?0:Math.max(c,h);return[e,r,n,a]}(f),x=y[2]-y[0],b=y[3]-y[1],_=h/u,w=Math.abs(b/x);_>w?(p=u,v=(h-(d=u*w))/n.h/2,g=[o[0],o[1]],m=[c[0]+v,c[1]-v]):(d=h,v=(u-(p=h/w))/n.w/2,g=[o[0]+v,o[1]-v],m=[c[0],c[1]]),this.xLength2=p,this.yLength2=d,this.xDomain2=g,this.yDomain2=m;var T=this.xOffset2=n.l+n.w*g[0],k=this.yOffset2=n.t+n.h*(1-m[1]),M=this.radius=p/x,A=this.innerRadius=e.hole*M,S=this.cx=T-M*y[0],L=this.cy=k+M*y[3],P=this.cxx=S-T,I=this.cyy=L-k;this.radialAxis=this.mockAxis(t,e,a,{_id:\"x\",side:{counterclockwise:\"top\",clockwise:\"bottom\"}[a.side],domain:[A/n.w,M/n.w]}),this.angularAxis=this.mockAxis(t,e,i,{side:\"right\",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:\"x\",domain:g}),this.yaxis=this.mockCartesianAxis(t,e,{_id:\"y\",domain:m});var z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",R(P,I)),r.frontplot.attr(\"transform\",R(T,k)).call(l.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",R(S,L)).call(s.fill,e.bgcolor)},I.mockAxis=function(t,e,r,n){var a=o.extendFlat({},r,n);return f(a,e,t),a},I.mockCartesianAxis=function(t,e,r){var n=this,a=r._id,i=o.extendFlat({type:\"linear\"},r);h(i,t);var s={x:[0,2],y:[1,3]};return i.setRange=function(){var t=n.sectorBBox,r=s[a],o=n.radialAxis._rl,l=(o[1]-o[0])/(1-e.hole);i.range=[t[r[0]]*l,t[r[1]]*l]},i.isPtWithinRange=\"x\"===a?function(t){return n.isPtInside(t)}:function(){return!0},i.setRange(),i.setScale(),i},I.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,a=e.radialaxis;n.setScale(),p(r,n);var i=n.range;a.range=i.slice(),a._input.range=i.slice(),n._rl=[n.r2l(i[0],null,\"gregorian\"),n.r2l(i[1],null,\"gregorian\")]},I.updateRadialAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.radialaxis,p=E(e.sector[0],360),d=r.radialAxis,g=l<i;r.fillViewInitialKey(\"radialaxis.angle\",f.angle),r.fillViewInitialKey(\"radialaxis.range\",d.range.slice()),d.setGeometry(),\"auto\"===d.tickangle&&p>90&&p<=270&&(d.tickangle=180);var m=function(t){return\"translate(\"+(d.l2p(t.x)+l)+\",0)\"},v=z(f);if(r.radialTickLayout!==v&&(a[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=v),g){d.setScale();var y=u.calcTicks(d),x=u.clipEnds(d,y),b=u.getTickSigns(d)[2];u.drawTicks(n,d,{vals:y,layer:a[\"radial-axis\"],path:u.makeTickPath(d,0,b),transFn:m,crisp:!1}),u.drawGrid(n,d,{vals:x,layer:a[\"radial-grid\"],path:function(t){return r.pathArc(d.r2p(t.x)+l)},transFn:o.noop,crisp:!1}),u.drawLabels(n,d,{vals:y,layer:a[\"radial-axis\"],transFn:m,labelFns:u.makeLabelFns(d,0)})}var _=r.radialAxisAngle=r.vangles?L(O(C(f.angle),r.vangles)):f.angle,w=R(c,h),T=w+F(-_);D(a[\"radial-axis\"],g&&(f.showticklabels||f.ticks),{transform:T}),D(a[\"radial-grid\"],g&&f.showgrid,{transform:w}),D(a[\"radial-line\"].select(\"line\"),g&&f.showline,{x1:l,y1:0,x2:i,y2:0,transform:T}).attr(\"stroke-width\",f.linewidth).call(s.stroke,f.linecolor)},I.updateRadialAxisTitle=function(t,e,r){var n=this.gd,a=this.radius,i=this.cx,o=this.cy,s=e.radialaxis,c=this.id+\"title\",u=void 0!==r?r:this.radialAxisAngle,h=C(u),f=Math.cos(h),p=Math.sin(h),d=0;if(s.title){var g=l.bBox(this.layers[\"radial-axis\"].node()).height,m=s.title.font.size;d=\"counterclockwise\"===s.side?-g-.4*m:g+.8*m}this.layers[\"radial-axis-title\"]=v.draw(n,c,{propContainer:s,propName:this.id+\".radialaxis.title\",placeholder:S(n,\"Click to enter radial axis title\"),attributes:{x:i+a/2*f+d*p,y:o-a/2*p+d*f,\"text-anchor\":\"middle\"},transform:{rotate:-u}})},I.updateAngularAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.angularaxis,p=r.angularAxis;r.fillViewInitialKey(\"angularaxis.rotation\",f.rotation),p.setGeometry(),p.setScale();var d=function(t){return p.t2g(t.x)};\"linear\"===p.type&&\"radians\"===p.thetaunit&&(p.tick0=L(p.tick0),p.dtick=L(p.dtick));var g=function(t){return R(c+i*Math.cos(t),h-i*Math.sin(t))},m=u.makeLabelFns(p,0).labelStandoff,v={xFn:function(t){var e=d(t);return Math.cos(e)*m},yFn:function(t){var e=d(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(m+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*k)},anchorFn:function(t){var e=d(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},heightFn:function(t,e,r){var n=d(t);return-.5*(1+Math.sin(n))*r}},y=z(f);r.angularTickLayout!==y&&(a[\"angular-axis\"].selectAll(\".\"+p._id+\"tick\").remove(),r.angularTickLayout=y);var x,b=u.calcTicks(p);if(\"linear\"===e.gridshape?(x=b.map(d),o.angleDelta(x[0],x[1])<0&&(x=x.slice().reverse())):x=null,r.vangles=x,\"category\"===p.type&&(b=b.filter((function(t){return o.isAngleInsideSector(d(t),r.sectorInRad)}))),p.visible){var _=\"inside\"===p.ticks?-1:1,w=(p.linewidth||1)/2;u.drawTicks(n,p,{vals:b,layer:a[\"angular-axis\"],path:\"M\"+_*w+\",0h\"+_*p.ticklen,transFn:function(t){var e=d(t);return g(e)+F(-L(e))},crisp:!1}),u.drawGrid(n,p,{vals:b,layer:a[\"angular-grid\"],path:function(t){var e=d(t),r=Math.cos(e),n=Math.sin(e);return\"M\"+[c+l*r,h-l*n]+\"L\"+[c+i*r,h-i*n]},transFn:o.noop,crisp:!1}),u.drawLabels(n,p,{vals:b,layer:a[\"angular-axis\"],repositionOnUpdate:!0,transFn:function(t){return g(d(t))},labelFns:v})}D(a[\"angular-line\"].select(\"path\"),f.showline,{d:r.pathSubplot(),transform:R(c,h)}).attr(\"stroke-width\",f.linewidth).call(s.stroke,f.linecolor)},I.updateFx=function(t,e){this.gd._context.staticPlot||(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1),this.updateMainDrag(t))},I.updateMainDrag=function(t){var e=this,r=e.gd,o=e.layers,s=t._zoomlayer,l=M.MINZOOM,c=M.OFFEDGE,u=e.radius,h=e.innerRadius,f=e.cx,p=e.cy,v=e.cxx,_=e.cyy,w=e.sectorInRad,T=e.vangles,k=e.radialAxis,S=A.clampTiny,E=A.findXYatLength,C=A.findEnclosingVertexAngles,L=M.cornerHalfWidth,P=M.cornerLen/2,I=d.makeDragger(o,\"path\",\"maindrag\",\"crosshair\");n.select(I).attr(\"d\",e.pathSubplot()).attr(\"transform\",R(f,p));var z,O,D,F,B,N,j,U,V,q={element:I,gd:r,subplot:e.id,plotinfo:{id:e.id,xaxis:e.xaxis,yaxis:e.yaxis},xaxes:[e.xaxis],yaxes:[e.yaxis]};function H(t,e){return Math.sqrt(t*t+e*e)}function G(t,e){return H(t-v,e-_)}function Y(t,e){return Math.atan2(_-e,t-v)}function W(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Z(t,r){if(0===t)return e.pathSector(2*L);var n=P/t,a=r-n,i=r+n,o=Math.max(0,Math.min(t,u)),s=o-L,l=o+L;return\"M\"+W(s,a)+\"A\"+[s,s]+\" 0,0,0 \"+W(s,i)+\"L\"+W(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+W(l,a)+\"Z\"}function X(t,r,n){if(0===t)return e.pathSector(2*L);var 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n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=o._,l=t(\"../../components/color\"),c=t(\"../../components/drawing\"),u=t(\"../cartesian/set_convert\"),h=t(\"../../lib/extend\").extendFlat,f=t(\"../plots\"),p=t(\"../cartesian/axes\"),d=t(\"../../components/dragelement\"),g=t(\"../../components/fx\"),m=t(\"../../components/dragelement/helpers\"),v=m.freeMode,y=m.rectMode,x=t(\"../../components/titles\"),b=t(\"../cartesian/select\").prepSelect,_=t(\"../cartesian/select\").selectOnClick,w=t(\"../cartesian/select\").clearSelect,T=t(\"../cartesian/select\").clearSelectionsCache,k=t(\"../cartesian/constants\");function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=M;var A=M.prototype;A.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},A.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var a=0;a<t.length;a++){if(!1===t[a][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(r),this.adjustLayout(r,n),f.generalUpdatePerTraceModule(this.graphDiv,this,t,r),this.layers.plotbg.select(\"path\").call(l.fill,r.bgcolor)},A.makeFramework=function(t){var e=this.graphDiv,r=t[this.id],n=this.clipId=\"clip\"+this.layoutId+this.id,a=this.clipIdRelative=\"clip-relative\"+this.layoutId+this.id;this.clipDef=o.ensureSingleById(t._clips,\"clipPath\",n,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",a,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.plotContainer=o.ensureSingle(this.container,\"g\",this.id),this.updateLayers(r),c.setClipUrl(this.layers.backplot,n,e),c.setClipUrl(this.layers.grids,n,e)},A.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below 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S=Math.sqrt(4/3);A.adjustLayout=function(t,e){var r,n,a,i,o,s,f=this,p=t.domain,d=(p.x[0]+p.x[1])/2,g=(p.y[0]+p.y[1])/2,m=p.x[1]-p.x[0],v=p.y[1]-p.y[0],y=m*e.w,x=v*e.h,b=t.sum,_=t.aaxis.min,w=t.baxis.min,T=t.caxis.min;y>S*x?a=(i=x)*S:i=(a=y)/S,o=m*a/y,s=v*i/x,r=e.l+e.w*d-a/2,n=e.t+e.h*(1-g)-i/2,f.x0=r,f.y0=n,f.w=a,f.h=i,f.sum=b,f.xaxis={type:\"linear\",range:[_+2*T-b,b-_-2*w],domain:[d-o/2,d+o/2],_id:\"x\"},u(f.xaxis,f.graphDiv._fullLayout),f.xaxis.setScale(),f.xaxis.isPtWithinRange=function(t){return t.a>=f.aaxis.range[0]&&t.a<=f.aaxis.range[1]&&t.b>=f.baxis.range[1]&&t.b<=f.baxis.range[0]&&t.c>=f.caxis.range[1]&&t.c<=f.caxis.range[0]},f.yaxis={type:\"linear\",range:[_,b-w-T],domain:[g-s/2,g+s/2],_id:\"y\"},u(f.yaxis,f.graphDiv._fullLayout),f.yaxis.setScale(),f.yaxis.isPtWithinRange=function(){return!0};var k=f.yaxis.domain[0],M=f.aaxis=h({},t.aaxis,{range:[_,b-w-T],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[k,k+s*S],anchor:\"free\",position:0,_id:\"y\",_length:a});u(M,f.graphDiv._fullLayout),M.setScale();var A=f.baxis=h({},t.baxis,{range:[b-_-T,w],side:\"bottom\",domain:f.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:a});u(A,f.graphDiv._fullLayout),A.setScale();var E=f.caxis=h({},t.caxis,{range:[b-_-w,T],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[k,k+s*S],anchor:\"free\",position:0,_id:\"y\",_length:a});u(E,f.graphDiv._fullLayout),E.setScale();var C=\"M\"+r+\",\"+(n+i)+\"h\"+a+\"l-\"+a/2+\",-\"+i+\"Z\";f.clipDef.select(\"path\").attr(\"d\",C),f.layers.plotbg.select(\"path\").attr(\"d\",C);var L=\"M0,\"+i+\"h\"+a+\"l-\"+a/2+\",-\"+i+\"Z\";f.clipDefRelative.select(\"path\").attr(\"d\",L);var P=\"translate(\"+r+\",\"+n+\")\";f.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",P),f.clipDefRelative.select(\"path\").attr(\"transform\",null);var I=\"translate(\"+(r-A._offset)+\",\"+(n+i)+\")\";f.layers.baxis.attr(\"transform\",I),f.layers.bgrid.attr(\"transform\",I);var z=\"translate(\"+(r+a/2)+\",\"+n+\")rotate(30)translate(0,\"+-M._offset+\")\";f.layers.aaxis.attr(\"transform\",z),f.layers.agrid.attr(\"transform\",z);var O=\"translate(\"+(r+a/2)+\",\"+n+\")rotate(-30)translate(0,\"+-E._offset+\")\";f.layers.caxis.attr(\"transform\",O),f.layers.cgrid.attr(\"transform\",O),f.drawAxes(!0),f.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+i)+\"l\"+a/2+\",-\"+i:\"M0,0\").call(l.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),f.layers.bline.select(\"path\").attr(\"d\",A.showline?\"M\"+r+\",\"+(n+i)+\"h\"+a:\"M0,0\").call(l.stroke,A.linecolor||\"#000\").style(\"stroke-width\",(A.linewidth||0)+\"px\"),f.layers.cline.select(\"path\").attr(\"d\",E.showline?\"M\"+(r+a/2)+\",\"+n+\"l\"+a/2+\",\"+i:\"M0,0\").call(l.stroke,E.linecolor||\"#000\").style(\"stroke-width\",(E.linewidth||0)+\"px\"),f.graphDiv._context.staticPlot||f.initInteractions(),c.setClipUrl(f.layers.frontplot,f._hasClipOnAxisFalse?null:f.clipId,f.graphDiv)},A.drawAxes=function(t){var 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E=k.MINZOOM/2+.87,C=\"m-0.87,.5h\"+E+\"v3h-\"+(E+5.2)+\"l\"+(E/2+2.6)+\",-\"+(.87*E+4.5)+\"l2.6,1.5l-\"+E/2+\",\"+.87*E+\"Z\",L=\"m0.87,.5h-\"+E+\"v3h\"+(E+5.2)+\"l-\"+(E/2+2.6)+\",-\"+(.87*E+4.5)+\"l-2.6,1.5l\"+E/2+\",\"+.87*E+\"Z\",P=\"m0,1l\"+E/2+\",\"+.87*E+\"l2.6,-1.5l-\"+(E/2+2.6)+\",-\"+(.87*E+4.5)+\"l-\"+(E/2+2.6)+\",\"+(.87*E+4.5)+\"l2.6,1.5l\"+E/2+\",-\"+.87*E+\"Z\",I=!0;function z(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}A.clearSelect=function(){T(this.dragOptions),w(this.dragOptions.gd)},A.initInteractions=function(){var t,e,r,n,u,h,f,p,m,x,w=this,T=w.layers.plotbg.select(\"path\").node(),M=w.graphDiv,A=M._fullLayout._zoomlayer;function E(t){var e={};return e[w.id+\".aaxis.min\"]=t.a,e[w.id+\".baxis.min\"]=t.b,e[w.id+\".caxis.min\"]=t.c,e}function O(t,e){var r=M._fullLayout.clickmode;z(M),2===t&&(M.emit(\"plotly_doubleclick\",null),i.call(\"_guiRelayout\",M,E({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&_(e,M,[w.xaxis],[w.yaxis],w.id,w.dragOptions),r.indexOf(\"event\")>-1&&g.click(M,e,w.id)}function D(t,e){return 1-e/w.h}function R(t,e){return 1-(t+(w.h-e)/Math.sqrt(3))/w.w}function F(t,e){return(t-(w.h-e)/Math.sqrt(3))/w.w}function B(a,i){var 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f=h.selectAll(\"path\").data((function(t){var e,n,i=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,h=.01*o,f=[],p=0;if(r.jitter){if(0===o)for(p=1,f=new Array(i.length),e=0;e<i.length;e++)f[e]=1;else for(e=0;e<i.length;e++){var d=Math.max(0,e-5),g=i[d].v,m=Math.min(i.length-1,e+5),v=i[m].v;\"all\"!==u&&(i[e].v<t.lf?v=Math.min(v,t.lf):g=Math.max(g,t.uf));var y=Math.sqrt(h*(m-d)/(v-g+s))||0;y=a.constrain(Math.abs(y),0,1),f.push(y),p=Math.max(y,p)}n=2*r.jitter/(p||1)}for(e=0;e<i.length;e++){var x=i[e],b=x.v,_=r.jitter?n*f[e]*(a.pseudoRandom()-.5):0,w=t.pos+c+l*(r.pointpos+_);\"h\"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),\"suspectedoutliers\"===u&&b<t.uo&&b>t.lo&&(x.so=!0)}return i}));f.enter().append(\"path\").classed(\"point\",!0),f.exit().remove(),f.call(i.translatePoints,o,s)}function l(t,e,r,i){var 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M={outerTicks:!0};c(b,_,k,\"linear\"),h(b,_,k,\"linear\",M),u(b,_,k,M)}else d(\"title.align\",\"center\"),d(\"align\",\"center\"),e._isAngular=e._isBullet=!1;e._length=null}}},{\"../../lib\":749,\"../../plot_api/plot_template\":787,\"../../plots/array_container_defaults\":793,\"../../plots/cartesian/tick_label_defaults\":819,\"../../plots/cartesian/tick_mark_defaults\":820,\"../../plots/cartesian/tick_value_defaults\":821,\"../../plots/domain\":825,\"./attributes\":1085,\"./constants.js\":1088}],1090:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"indicator\",basePlotModule:t(\"./base_plot\"),categories:[\"svg\",\"noOpacity\",\"noHover\"],animatable:!0,attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,calc:t(\"./calc\").calc,plot:t(\"./plot\"),meta:{}}},{\"./attributes\":1085,\"./base_plot\":1086,\"./calc\":1087,\"./defaults\":1089,\"./plot\":1091}],1091:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../lib\"),i=a.rad2deg,o=t(\"../../constants/alignment\").MID_SHIFT,s=t(\"../../components/drawing\"),l=t(\"./constants\"),c=t(\"../../lib/svg_text_utils\"),u=t(\"../../plots/cartesian/axes\"),h=t(\"../../plots/cartesian/axis_defaults\"),f=t(\"../../plots/cartesian/position_defaults\"),p=t(\"../../plots/cartesian/layout_attributes\"),d=t(\"../../components/color\"),g={left:\"start\",center:\"middle\",right:\"end\"},m={left:0,center:.5,right:1},v=/[yzafpn\\xb5mkMGTPEZY]/;function y(t){return t&&t.duration>0}function x(t){t.each((function(t){d.stroke(n.select(this),t.line.color)})).each((function(t){d.fill(n.select(this),t.color)})).style(\"stroke-width\",(function(t){return t.line.width}))}function b(t,e,r){var n=t._fullLayout,i=a.extendFlat({type:\"linear\",ticks:\"outside\",range:r,showline:!0},e),o={type:\"linear\",_id:\"x\"+e._id},s={letter:\"x\",font:n.font,noHover:!0,noTickson:!0};function l(t,e){return a.coerce(i,o,p,t,e)}return h(i,o,l,s,n),f(i,o,l,s),o}function _(t,e){return\"translate(\"+t+\",\"+e+\")\"}function w(t,e,r){return[Math.min(e/t.width,r/t.height),t,e+\"x\"+r]}function T(t,e,r,a){var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"text\"),o=n.select(i);return o.text(t).attr(\"x\",0).attr(\"y\",0).attr(\"text-anchor\",r).attr(\"data-unformatted\",t).call(c.convertToTspans,a).call(s.font,e),s.bBox(o.node())}function k(t,e,r,n,i,o){var s=\"_cache\"+e;t[s]&&t[s].key===i||(t[s]={key:i,value:r});var l=a.aggNums(o,null,[t[s].value,n],2);return t[s].value=l,l}e.exports=function(t,e,r,h){var f,p=t._fullLayout;y(r)&&h&&(f=h()),a.makeTraceGroups(p._indicatorlayer,e,\"trace\").each((function(e){var h,M,A,S,E,C=e[0].trace,L=n.select(this),P=C._hasGauge,I=C._isAngular,z=C._isBullet,O=C.domain,D={w:p._size.w*(O.x[1]-O.x[0]),h:p._size.h*(O.y[1]-O.y[0]),l:p._size.l+p._size.w*O.x[0],r:p._size.r+p._size.w*(1-O.x[1]),t:p._size.t+p._size.h*(1-O.y[1]),b:p._size.b+p._size.h*O.y[0]},R=D.l+D.w/2,F=D.t+D.h/2,B=Math.min(D.w/2,D.h),N=l.innerRadius*B,j=C.align||\"center\";if(M=F,P){if(I&&(h=R,M=F+B/2,A=function(t){return function(t,e){var r=Math.sqrt(t.width/2*(t.width/2)+t.height*t.height);return[e/r,t,e]}(t,.9*N)}),z){var U=l.bulletPadding,V=1-l.bulletNumberDomainSize+U;h=D.l+(V+(1-V)*m[j])*D.w,A=function(t){return w(t,(l.bulletNumberDomainSize-U)*D.w,D.h)}}}else h=D.l+m[j]*D.w,A=function(t){return w(t,D.w,D.h)};!function(t,e,r,i){var o,l,h,f=r[0].trace,p=i.numbersX,x=i.numbersY,w=f.align||\"center\",M=g[w],A=i.transitionOpts,S=i.onComplete,E=a.ensureSingle(e,\"g\",\"numbers\"),C=[];f._hasNumber&&C.push(\"number\");f._hasDelta&&(C.push(\"delta\"),\"left\"===f.delta.position&&C.reverse());var L=E.selectAll(\"text\").data(C);function P(e,r,n,a){if(!e.match(\"s\")||n>=0==a>=0||r(n).slice(-1).match(v)||r(a).slice(-1).match(v))return r;var i=e.slice().replace(\"s\",\"f\").replace(/\\d+/,(function(t){return parseInt(t)-1})),o=b(t,{tickformat:i});return function(t){return Math.abs(t)<1?u.tickText(o,t).text:r(t)}}L.enter().append(\"text\"),L.attr(\"text-anchor\",(function(){return M})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),L.exit().remove();var I,z=f.mode+f.align;f._hasDelta&&(I=function(){var e=b(t,{tickformat:f.delta.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=function(t){return f.delta.relative?t.relativeDelta:t.delta},o=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?f.delta.increasing.symbol:f.delta.decreasing.symbol)+e(t)},h=function(t){return t.delta>=0?f.delta.increasing.color:f.delta.decreasing.color};void 0===f._deltaLastValue&&(f._deltaLastValue=i(r[0]));var p=E.select(\"text.delta\");function g(){p.text(o(i(r[0]),a)).call(d.fill,h(r[0])).call(c.convertToTspans,t)}return p.call(s.font,f.delta.font).call(d.fill,h({delta:f._deltaLastValue})),y(A)?p.transition().duration(A.duration).ease(A.easing).tween(\"text\",(function(){var t=n.select(this),e=i(r[0]),s=f._deltaLastValue,l=P(f.delta.valueformat,a,s,e),c=n.interpolateNumber(s,e);return f._deltaLastValue=e,function(e){t.text(o(c(e),l)),t.call(d.fill,h({delta:c(e)}))}})).each(\"end\",(function(){g(),S&&S()})).each(\"interrupt\",(function(){g(),S&&S()})):g(),l=T(o(i(r[0]),a),f.delta.font,M,t),p}(),z+=f.delta.position+f.delta.font.size+f.delta.font.family+f.delta.valueformat,z+=f.delta.increasing.symbol+f.delta.decreasing.symbol,h=l);f._hasNumber&&(!function(){var e=b(t,{tickformat:f.number.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=f.number.suffix,l=f.number.prefix,h=E.select(\"text.number\");function p(){var e=\"number\"==typeof r[0].y?l+a(r[0].y)+i:\"-\";h.text(e).call(s.font,f.number.font).call(c.convertToTspans,t)}y(A)?h.transition().duration(A.duration).ease(A.easing).each(\"end\",(function(){p(),S&&S()})).each(\"interrupt\",(function(){p(),S&&S()})).attrTween(\"text\",(function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);f._lastValue=r[0].y;var o=P(f.number.valueformat,a,r[0].lastY,r[0].y);return function(r){t.text(l+o(e(r))+i)}})):p(),o=T(l+a(r[0].y)+i,f.number.font,M,t)}(),z+=f.number.font.size+f.number.font.family+f.number.valueformat+f.number.suffix+f.number.prefix,h=o);if(f._hasDelta&&f._hasNumber){var O,D,R=[(o.left+o.right)/2,(o.top+o.bottom)/2],F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=.75*f.delta.font.size;\"left\"===f.delta.position&&(O=k(f,\"deltaPos\",0,-1*(o.width*m[f.align]+l.width*(1-m[f.align])+B),z,Math.min),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:l.left+O,right:o.right,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"right\"===f.delta.position&&(O=k(f,\"deltaPos\",0,o.width*(1-m[f.align])+l.width*m[f.align]+B,z,Math.max),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:o.left,right:l.right+O,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"bottom\"===f.delta.position&&(O=null,D=l.height,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height,bottom:o.bottom+l.height}),\"top\"===f.delta.position&&(O=null,D=o.top,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height-l.height,bottom:o.bottom}),I.attr({dx:O,dy:D})}(f._hasNumber||f._hasDelta)&&E.attr(\"transform\",(function(){var t=i.numbersScaler(h);z+=t[2];var e,r=k(f,\"numbersScale\",1,t[0],z,Math.min);f._scaleNumbers||(r=1),e=f._isAngular?x-r*h.bottom:x-r*(h.top+h.bottom)/2,f._numbersTop=r*h.top+e;var n=h[w];\"center\"===w&&(n=(h.left+h.right)/2);var a=p-r*n;return _(a=k(f,\"numbersTranslate\",0,a,z,Math.max),e)+\" scale(\"+r+\")\"}))}(t,L,e,{numbersX:h,numbersY:M,numbersScaler:A,transitionOpts:r,onComplete:f}),P&&(S={range:C.gauge.axis.range,color:C.gauge.bgcolor,line:{color:C.gauge.bordercolor,width:0},thickness:1},E={range:C.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:C.gauge.bordercolor,width:C.gauge.borderwidth},thickness:1});var q=L.selectAll(\"g.angular\").data(I?e:[]);q.exit().remove();var H=L.selectAll(\"g.angularaxis\").data(I?e:[]);H.exit().remove(),I&&function(t,e,r,a){var s,l,c,h,f=r[0].trace,p=a.size,d=a.radius,g=a.innerRadius,m=a.gaugeBg,v=a.gaugeOutline,w=[p.l+p.w/2,p.t+p.h/2+d/2],T=a.gauge,k=a.layer,M=a.transitionOpts,A=a.onComplete,S=Math.PI/2;function E(t){var e=f.gauge.axis.range[0],r=(t-e)/(f.gauge.axis.range[1]-e)*Math.PI-S;return r<-S?-S:r>S?S:r}function C(t){return n.svg.arc().innerRadius((g+d)/2-t/2*(d-g)).outerRadius((g+d)/2+t/2*(d-g)).startAngle(-S)}function L(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()}))}T.enter().append(\"g\").classed(\"angular\",!0),T.attr(\"transform\",_(w[0],w[1])),k.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),k.selectAll(\"g.xangularaxistick,path,text\").remove(),(s=b(t,f.gauge.axis)).type=\"linear\",s.range=f.gauge.axis.range,s._id=\"xangularaxis\",s.setScale();var P=function(t){return(s.range[0]-t.x)/(s.range[1]-s.range[0])*Math.PI+Math.PI},I={},z=u.makeLabelFns(s,0).labelStandoff;I.xFn=function(t){var e=P(t);return Math.cos(e)*z},I.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*o)},I.anchorFn=function(t){var e=P(t),r=Math.cos(e);return 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j=N.select(\"path\");y(M)?(j.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){A&&A()})).each(\"interrupt\",(function(){A&&A()})).attrTween(\"d\",(U=B,V=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(V,q);return function(e){return U.endAngle(t(e))()}})),f._lastValue=r[0].y):j.attr(\"d\",\"number\"==typeof r[0].y?B.endAngle(E(r[0].y)):\"M0,0Z\");var U,V,q;j.call(x),N.exit().remove(),R=[];var H=f.gauge.threshold.value;H&&R.push({range:[H,H],color:f.gauge.threshold.color,line:{color:f.gauge.threshold.line.color,width:f.gauge.threshold.line.width},thickness:f.gauge.threshold.thickness});var G=T.selectAll(\"g.threshold-arc\").data(R);G.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),G.select(\"path\").call(L).call(x),G.exit().remove();var Y=T.selectAll(\"g.gauge-outline\").data([v]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(L).call(x),Y.exit().remove()}(t,0,e,{radius:B,innerRadius:N,gauge:q,layer:H,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var G=L.selectAll(\"g.bullet\").data(z?e:[]);G.exit().remove();var Y=L.selectAll(\"g.bulletaxis\").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,n){var a,i,o,s,c,h=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,m=n.gaugeOutline,v=n.size,_=h.domain,w=n.transitionOpts,T=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",\"translate(\"+v.l+\", \"+v.t+\")\"),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var k=v.h,M=h.gauge.bar.thickness*k,A=_.x[0],S=_.x[0]+(_.x[1]-_.x[0])*(h._hasNumber||h._hasDelta?1-l.bulletNumberDomainSize:1);(a=b(t,h.gauge.axis))._id=\"xbulletaxis\",a.domain=[A,S],a.setScale(),i=u.calcTicks(a),o=u.makeTransFn(a),s=u.getTickSigns(a)[2],c=v.t+v.h,a.visible&&(u.drawTicks(t,a,{vals:\"inside\"===a.ticks?u.clipEnds(a,i):i,layer:p,path:u.makeTickPath(a,c,s),transFn:o}),u.drawLabels(t,a,{vals:i,layer:p,transFn:o,labelFns:u.makeLabelFns(a,c)}));function E(t){t.attr(\"width\",(function(t){return Math.max(0,a.c2p(t.range[1])-a.c2p(t.range[0]))})).attr(\"x\",(function(t){return a.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*k})).attr(\"height\",(function(t){return t.thickness*k}))}var C=[g].concat(h.gauge.steps),L=f.selectAll(\"g.bg-bullet\").data(C);L.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),L.select(\"rect\").call(E).call(x),L.exit().remove();var P=f.selectAll(\"g.value-bullet\").data([h.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(k-M)/2).call(x),y(w)?P.select(\"rect\").transition().duration(w.duration).ease(w.easing).each(\"end\",(function(){T&&T()})).each(\"interrupt\",(function(){T&&T()})).attr(\"width\",Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y))):0);P.exit().remove();var I=r.filter((function(){return h.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(I);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",a.c2p(h.gauge.threshold.value)).attr(\"x2\",a.c2p(h.gauge.threshold.value)).attr(\"y1\",(1-h.gauge.threshold.thickness)/2*k).attr(\"y2\",(1-(1-h.gauge.threshold.thickness)/2)*k).call(d.stroke,h.gauge.threshold.line.color).style(\"stroke-width\",h.gauge.threshold.line.width),z.exit().remove();var O=f.selectAll(\"g.gauge-outline\").data([m]);O.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),O.select(\"rect\").call(E).call(x),O.exit().remove()}(t,0,e,{gauge:G,layer:Y,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var W=L.selectAll(\"text.title\").data(e);W.exit().remove(),W.enter().append(\"text\").classed(\"title\",!0),W.attr(\"text-anchor\",(function(){return 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a._trace=i,i.update(e),t.glplot.add(a),i}}},{\"../../components/colorscale\":627,\"../../lib/gl_format_color\":745,\"../../lib/str2rgbarray\":772,\"../../plots/gl3d/zip3\":851,\"gl-mesh3d\":292}],1095:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../registry\"),i=t(\"./attributes\"),o=t(\"../../components/colorscale/defaults\");function s(t,e,r,n,i){var s=i(\"isomin\"),l=i(\"isomax\");null!=l&&null!=s&&s>l&&(e.isomin=null,e.isomax=null);var c=i(\"x\"),u=i(\"y\"),h=i(\"z\"),f=i(\"value\");c&&c.length&&u&&u.length&&h&&h.length&&f&&f.length?(a.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],n),[\"x\",\"y\",\"z\"].forEach((function(t){var e=\"caps.\"+t;i(e+\".show\")&&i(e+\".fill\");var r=\"slices.\"+t;i(r+\".show\")&&(i(r+\".fill\"),i(r+\".locations\"))})),i(\"spaceframe.show\")&&i(\"spaceframe.fill\"),i(\"surface.show\")&&(i(\"surface.count\"),i(\"surface.fill\"),i(\"surface.pattern\")),i(\"contour.show\")&&(i(\"contour.color\"),i(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach((function(t){i(t)})),o(t,e,n,i,{prefix:\"\",cLetter:\"c\"}),e._length=null):e.visible=!1}e.exports={supplyDefaults:function(t,e,r,a){s(t,e,r,a,(function(r,a){return n.coerce(t,e,i,r,a)}))},supplyIsoDefaults:s}},{\"../../components/colorscale/defaults\":625,\"../../lib\":749,\"../../registry\":881,\"./attributes\":1092}],1096:[function(t,e,r){\"use 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n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../surface/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat;e.exports=s({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":623}],1099:[function(t,e,r){\"use strict\";var n=t(\"gl-mesh3d\"),a=t(\"delaunay-triangulate\"),i=t(\"alpha-shape\"),o=t(\"convex-hull\"),s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function h(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var f=h.prototype;function p(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=l(t[n]);return e}function d(t,e,r,n){for(var a=[],i=e.length,o=0;o<i;o++)a[o]=t.d2l(e[o],0,n)*r;return a}function g(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function m(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}f.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},f.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,h=t.x.length,f=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!m(t.i,h)||!m(t.j,h)||!m(t.k,h))return;n=u(g(t.i),g(t.j),g(t.k))}else n=0===t.alphahull?o(f):t.alphahull>0?i(t.alphahull,f):function(t,e){for(var r=[\"x\",\"y\",\"z\"].indexOf(t),n=[],i=e.length,o=0;o<i;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return a(n)}(t.delaunayaxis,f);var v={positions:f,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var y=c(t);this.color=\"#fff\";var x=t.intensitymode;v[x+\"Intensity\"]=t.intensity,v[x+\"IntensityBounds\"]=[y.min,y.max],v.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],v.vertexColors=p(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],v.cellColors=p(t.facecolor)):(this.color=t.color,v.meshColor=l(t.color));this.mesh.update(v)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,a=n({gl:r}),i=new h(t,a,e.uid);return a._trace=i,i.update(e),t.glplot.add(a),i}},{\"../../components/colorscale\":627,\"../../lib/gl_format_color\":745,\"../../lib/str2rgbarray\":772,\"../../plots/gl3d/zip3\":851,\"alpha-shape\":69,\"convex-hull\":135,\"delaunay-triangulate\":171,\"gl-mesh3d\":292}],1100:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");e.exports=function(t,e,r,s){function l(r,n){return a.coerce(t,e,o,r,n)}function c(t){var e=t.map((function(t){var e=l(t);return e&&a.isArrayOrTypedArray(e)?e:null}));return e.every((function(t){return 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h(t){return{line:{color:n({},u.color,{dflt:t}),width:u.width,dash:i,editType:\"style\"},editType:\"style\"}}e.exports={xperiod:a.xperiod,xperiod0:a.xperiod0,xperiodalignment:a.xperiodalignment,x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},open:{valType:\"data_array\",editType:\"calc\"},high:{valType:\"data_array\",editType:\"calc\"},low:{valType:\"data_array\",editType:\"calc\"},close:{valType:\"data_array\",editType:\"calc\"},line:{width:n({},u.width,{}),dash:n({},i,{}),editType:\"style\"},increasing:h(l),decreasing:h(c),text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},tickwidth:{valType:\"number\",min:0,max:.5,dflt:.3,editType:\"calc\"},hoverlabel:n({},o.hoverlabel,{split:{valType:\"boolean\",dflt:!1,editType:\"style\"}})}},{\"../../components/drawing/attributes\":636,\"../../components/fx/attributes\":646,\"../../constants/delta.js\":718,\"../../lib\":749,\"../scatter/attributes\":1156}],1103:[function(t,e,r){\"use 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a,s,l=t.cd,c=t.xa,u=l[0].trace,h=l[0].t,f=u.type,p=\"ohlc\"===f?\"l\":\"min\",d=\"ohlc\"===f?\"h\":\"max\",g=h.bPos||0,m=h.bdPos||h.tickLen,v=h.wHover,y=Math.min(1,m/Math.abs(c.r2c(c.range[1])-c.r2c(c.range[0])));function x(t){var r=function(t){return t.pos+g-e}(t);return i.inbox(r-v,r+v,a)}function b(t){var e=t[p],n=t[d];return e===n||i.inbox(e-r,n-r,a)}function _(t){return(x(t)+b(t))/2}a=t.maxHoverDistance-y,s=t.maxSpikeDistance-y;var w=i.getDistanceFunction(n,x,b,_);if(i.getClosest(l,w,t),!1===t.index)return null;var T=l[t.index];if(T.empty)return null;var k=u[T.dir],M=k.line.color;return o.opacity(M)&&k.line.width?t.color=M:t.color=k.fillcolor,t.x0=c.c2p(T.pos+g-m,!0),t.x1=c.c2p(T.pos+g+m,!0),t.xLabelVal=void 0!==T.orig_p?T.orig_p:T.pos,t.spikeDistance=_(T)*s/a,t.xSpike=c.c2p(T.pos,!0),t}function h(t,e,r,i){var o=t.cd,s=t.ya,l=o[0].trace,c=o[0].t,h=[],f=u(t,e,r,i);if(!f)return[];var 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e=s.c2p(t.pos-c,!0),r=s.c2p(t.pos+c,!0),n=l?(e+r)/2:s.c2p(t.pos,!0);return\"M\"+e+\",\"+o.c2p(t.o,!0)+\"H\"+n+\"M\"+n+\",\"+o.c2p(t.h,!0)+\"V\"+o.c2p(t.l,!0)+\"M\"+r+\",\"+o.c2p(t.c,!0)+\"H\"+n}))}}))}},{\"../../lib\":749,d3:169}],1109:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r,n=t.cd,a=t.xaxis,i=t.yaxis,o=[],s=n[0].t.bPos||0;if(!1===e)for(r=0;r<n.length;r++)n[r].selected=0;else for(r=0;r<n.length;r++){var l=n[r];e.contains([a.c2p(l.pos+s),i.c2p(l.yc)],null,l.i,t)?(o.push({pointNumber:l.i,x:a.c2d(l.pos),y:i.c2d(l.yc)}),l.selected=1):l.selected=0}return o}},{}],1110:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../components/drawing\"),i=t(\"../../components/color\");e.exports=function(t,e,r){var o=r||n.select(t).selectAll(\"g.ohlclayer\").selectAll(\"g.trace\");o.style(\"opacity\",(function(t){return t[0].trace.opacity})),o.each((function(t){var e=t[0].trace;n.select(this).selectAll(\"path\").each((function(t){if(!t.empty){var 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n=t(\"../../lib/extend\").extendFlat,a=t(\"../../plots/attributes\"),i=t(\"../../plots/font_attributes\"),o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/domain\").attributes,c=n({editType:\"calc\"},o(\"line\",{editTypeOverride:\"calc\"}),{shape:{valType:\"enumerated\",values:[\"linear\",\"hspline\"],dflt:\"linear\",editType:\"plot\"},hovertemplate:s({editType:\"plot\",arrayOk:!1},{keys:[\"count\",\"probability\"]})});e.exports={domain:l({name:\"parcats\",trace:!0,editType:\"calc\"}),hoverinfo:n({},a.hoverinfo,{flags:[\"count\",\"probability\"],editType:\"plot\",arrayOk:!1}),hoveron:{valType:\"enumerated\",values:[\"category\",\"color\",\"dimension\"],dflt:\"category\",editType:\"plot\"},hovertemplate:s({editType:\"plot\",arrayOk:!1},{keys:[\"count\",\"probability\",\"category\",\"categorycount\",\"colorcount\",\"bandcolorcount\"]}),arrangement:{valType:\"enumerated\",values:[\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"perpendicular\",editType:\"plot\"},bundlecolors:{valType:\"boolean\",dflt:!0,editType:\"plot\"},sortpaths:{valType:\"enumerated\",values:[\"forward\",\"backward\"],dflt:\"forward\",editType:\"plot\"},labelfont:i({editType:\"calc\"}),tickfont:i({editType:\"calc\"}),dimensions:{_isLinkedToArray:\"dimension\",label:{valType:\"string\",editType:\"calc\"},categoryorder:{valType:\"enumerated\",values:[\"trace\",\"category 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0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){s.font(n.select(this),t.parcatsViewModel.labelfont)})),k.selectAll(\"rect.bandrect\").on(\"mouseover\",S).on(\"mouseout\",E),k.exit().remove(),T.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",C).on(\"drag\",L).on(\"dragend\",P)),u.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\")})),u.exit().remove()}function h(t){return t.key}function f(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function p(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function 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_=t.parcatsViewModel.x+a,w=t.parcatsViewModel.y+s,T=l.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,M=k/t.parcatsViewModel.model.count,A={countLabel:k,probabilityLabel:M.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",A.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",A.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),C=n.mouse(h)[0];i.loneHover({trace:f,x:_-d.left+g.left,y:w-d.top+g.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:C<_?\"right\":\"left\",hovertemplate:(f.line||{}).hovertemplate,hovertemplateLabels:A,eventData:[{data:f._input,fullData:f,count:k,probability:M}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:h})}}}function g(t){if(!t.parcatsViewModel.dragDimension&&(x(n.select(this)),i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(p),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=v(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=I(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var a=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:a})}return e}function v(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var a=r[n],i=a.categories[t.model.categoryInds[n]];e[a.containerInd]=i.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function y(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=v(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function x(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 b(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return l.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function _(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function T(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 k(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){T(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var c={};c[i.dimensionInd]=i.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function M(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=T(a),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var c={};c[i.dimensionInd]=i.categoryValue,void 0!==a.rawColor&&(c.color=a.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function A(t,e){var r,a,i=n.select(e.parentNode).select(\"rect.catrect\"),o=i.node().getBoundingClientRect(),s=i.datum(),l=s.parcatsViewModel,c=l.model.dimensions[s.model.dimensionInd],u=l.trace,h=o.top+o.height/2;l.dimensions.length>1&&c.displayInd===l.dimensions.length-1?(r=o.left,a=\"left\"):(r=o.left+o.width,a=\"right\");var f=s.model.count,p=s.model.categoryLabel,d=f/s.parcatsViewModel.model.count,g={countLabel:f,categoryLabel:p,probabilityLabel:d.toFixed(3)},m=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&m.push([\"Count:\",g.countLabel].join(\" \")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&m.push([\"P(\"+g.categoryLabel+\"):\",g.probabilityLabel].join(\" \"));var v=m.join(\"<br>\");return{trace:u,x:r-t.left,y:h-t.top,text:v,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:u.hovertemplate,hovertemplateLabels:g,eventData:[{data:u._input,fullData:u,count:f,category:p,probability:d}]}}function S(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,a=r._fullLayout,s=a._paperdiv.node().getBoundingClientRect(),c=t.parcatsViewModel.hoveron;if(\"color\"===c?(!function(t){var e=n.select(t).datum(),r=T(e);b(r),r.each((function(){o.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){o.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(this),M(this,\"plotly_hover\",n.event)):(!function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=T(t);b(e),e.each((function(){o.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),k(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===c?e=A(s,this):\"color\"===c?e=function(t,e){var r,a,i=e.getBoundingClientRect(),o=n.select(e).datum(),s=o.categoryViewModel,c=s.parcatsViewModel,u=c.model.dimensions[s.model.dimensionInd],h=c.trace,f=i.y+i.height/2;c.dimensions.length>1&&u.displayInd===c.dimensions.length-1?(r=i.left,a=\"left\"):(r=i.left+i.width,a=\"right\");var p=s.model.categoryLabel,d=o.parcatsViewModel.model.count,g=0;o.categoryViewModel.bands.forEach((function(t){t.color===o.color&&(g+=t.count)}));var m=s.model.count,v=0;c.pathSelection.each((function(t){t.model.color===o.color&&(v+=t.model.count)}));var y=g/d,x=g/v,b=g/m,_={countLabel:d,categoryLabel:p,probabilityLabel:y.toFixed(3)},w=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&w.push([\"Count:\",_.countLabel].join(\" \")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(w.push(\"P(color \\u2229 \"+p+\"): \"+_.probabilityLabel),w.push(\"P(\"+p+\" | color): \"+x.toFixed(3)),w.push(\"P(color | \"+p+\"): \"+b.toFixed(3)));var T=w.join(\"<br>\"),k=l.mostReadable(o.color,[\"black\",\"white\"]);return{trace:h,x:r-t.left,y:f-t.top,text:T,color:o.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:k,fontSize:10,idealAlign:a,hovertemplate:h.hovertemplate,hovertemplateLabels:_,eventData:[{data:h._input,fullData:h,category:p,count:d,probability:y,categorycount:m,colorcount:v,bandcolorcount:g}]}}(s,this):\"dimension\"===c&&(e=function(t,e){var r=[];return n.select(e.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){r.push(A(t,this))})),r}(s,this)),e&&i.loneHover(e,{container:a._hoverlayer.node(),outerContainer:a._paper.node(),gd:r})}}function E(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(x(e.pathSelection),_(e.dimensionSelection.selectAll(\"g.category\")),w(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),i.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(p),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?M(this,\"plotly_unhover\",n.event):k(this,\"plotly_unhover\",n.event)}}function C(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],a=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=a&&a<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,o.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<a&&a<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function L(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,a=e+1,i=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=i.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=i.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==h&&s+o.height>h.y+h.height/2&&(o.model.displayInd=h.model.displayInd,h.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){i.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[a];void 0!==f&&i.model.dragX<f.x+f.width&&(i.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&i.model.dragX+i.width>p.x&&(i.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=i.model.displayInd}B(t.parcatsViewModel),F(t.parcatsViewModel),O(t.parcatsViewModel),z(t.parcatsViewModel)}}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=I(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 a=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+a+\"].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 c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),h=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[h],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):k(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,B(t.parcatsViewModel),F(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){O(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function I(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),h),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function O(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),h);var a=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),h);r(t.dimensionSelection).attr(\"transform\",(function(t){return\"translate(\"+t.x+\", 0)\"})),r(a).attr(\"transform\",(function(t){return\"translate(0, \"+t.y+\")\"})),a.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),a.select(\".catlabel\").attr(\"text-anchor\",(function(t){return f(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return f(t)?t.width+5:-5})).each((function(t){var e,r;f(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var i=a.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h),s=i.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);i.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})),w(s),i.each((function(){o.raiseToTop(this)})),i.exit().remove()}function D(t,e,r){var n,a=r[0],i=e.margin||{l:80,r:80,t:100,b:80},o=a.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),h=Math.floor(c*(s.y[1]-s.y[0])),f=s.x[0]*l+i.l,p=e.height-s.y[1]*e.height+i.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var g={trace:o,key:o.uid,model:a,x:f,y:p,width:u,height:h,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:i,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return a.dimensions&&(B(g),F(g)),g}function R(t,e,r,a,i){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(i)),c.push(o(1-i));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+a+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+a)+\" \"+l[s]+\",\"+(e[s]+a)+\" \"+(t[s]+r[s])+\",\"+(e[s]+a),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function F(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),a=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),i=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})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function h(t){var e=t.categoryInds.map((function(t,e){return a[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=h(e),a=h(r);return\"backward\"===t.sortpaths&&(n.reverse(),a.reverse()),n.push(e.valueInds[0]),a.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),a.unshift(r.rawColor)),n<a?-1:n>a?1:0}));for(var f=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g<c.length;g++){var m,v=c[g];m=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var _=v.categoryInds[b],w=a[b][_],T=i[b];x[T]=n[T][w],n[T][w]+=m;var k=t.dimensions[T].categories[w],M=k.bands.length,A=k.bands[M-1];if(void 0===A||v.rawColor!==A.rawColor){var S=void 0===A?0:A.y+A.height;k.bands.push({key:S,color:v.color,rawColor:v.rawColor,height:m,width:k.width,count:v.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[M-1];E.height+=m,E.count+=v.count}}y=\"hspline\"===t.pathShape?R(s,x,l,m,.5):R(s,x,l,m,0),f[g]={key:v.valueInds[0],model:v,height:m,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=f}function B(t){var e=t.model.dimensions.map((function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var a=e[n].dimensionInd,i=t.model.dimensions[a];r.push(N(t,i))}t.dimensions=r}function N(t,e){var r,n=t.model.dimensions.length,a=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*a;var i,o,s,l,c,u=[],h=t.model.maxCats,f=e.categories.length,p=e.count,d=t.height-8*(h-1),g=8*(h-f)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c<f;c++)l=m[c].categoryInd,o=e.categories[l],i=p>0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:i,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+i+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){u(r,t,n,e)}},{\"../../components/drawing\":637,\"../../components/fx\":655,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plot_api/plot_api\":784,d3:169,tinycolor2:548}],1117:[function(t,e,r){\"use strict\";var n=t(\"./parcats\");e.exports=function(t,e,r,a){var i=t._fullLayout,o=i._paper,s=i._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,a)}},{\"./parcats\":1116}],1118:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/layout_attributes\"),i=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.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:i({editType:\"plot\"}),tickfont:i({editType:\"plot\"}),rangefont:i({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},a.tickvals,{editType:\"plot\"}),ticktext:s({},a.ticktext,{editType:\"plot\"}),tickformat:s({},a.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:\"number\",editType:\"plot\"},{valType:\"number\",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\"}))}},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/plot_template\":787,\"../../plots/cartesian/layout_attributes\":812,\"../../plots/domain\":825,\"../../plots/font_attributes\":826}],1119:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=n.bar.snapRatio;function c(t,e){return t*(1-l)+e*l}var u=n.bar.snapClose;function h(t,e){return t*(1-u)+e*u}function f(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var a=t?-1:1,i=0,o=e.length-1;if(a<0){var s=i;i=o,o=s}for(var l=e[i],u=l,f=i;a*f<a*o;f+=a){var p=f+a,d=e[p];if(a*r<a*h(l,d))return c(l,u);if(a*r<a*d||p===o)return c(d,l);u=l,l=d}}function p(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function d(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function g(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var e,r,n,a=m(t.brush.filter.getConsolidated(),t.height),i=[0],o=a.length?a[0][0]:null,s=0;s<a.length;s++)r=(e=a[s])[1]-e[0],i.push(o),i.push(r),(n=s+1)<a.length&&(o=a[n][0]-e[1]);return i.push(t.height),i}function m(t,e){return t.map((function(t){return t.map((function(t){return Math.max(0,t*e)})).sort(s)}))}function v(){a.select(document.body).style(\"cursor\",null)}function y(t){t.attr(\"stroke-dasharray\",g)}function x(t,e){var r=a.select(t).selectAll(\".highlight, .highlight-shadow\");y(e?r.transition().duration(n.bar.snapDuration).each(\"end\",e):r)}function b(t,e){var r,a=t.brush,i=NaN,o={};if(a.filterSpecified){var s=t.height,l=a.filter.getConsolidated(),c=m(l,s),u=NaN,h=NaN,f=NaN;for(r=0;r<=c.length;r++){var p=c[r];if(p&&p[0]<=e&&e<=p[1]){u=r;break}if(h=r?r-1:NaN,p&&p[0]>e){f=r;break}}if(i=u,isNaN(i)&&(i=isNaN(h)||isNaN(f)?isNaN(h)?f:h:e-c[h][1]<c[f][0]-e?h:f),!isNaN(i)){var d=c[i],g=function(t,e){var r=n.bar.handleHeight;if(!(e>t[1]+r||e<t[0]-r))return e>=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);g&&(o.interval=l[i],o.intervalPix=d,o.region=g)}}if(t.ordinal&&!o.region){var v=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r<v.length;r++){var x=[.25*v[Math.max(r-1,0)]+.75*v[r],.25*v[Math.min(r+1,v.length-1)]+.75*v[r]];if(y>=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function _(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.brush.svgBrush;i.wasDragged=!0,i._dragging=!0,i.grabbingBar?i.newExtent=[r-i.grabPoint,r+i.barLength-i.grabPoint].map(e.unitToPaddedPx.invert):i.newExtent=[i.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,i.extent=i.stayingIntervals.concat([i.newExtent]),i.brushCallback(e),x(t.parentNode)}function w(t,e){var r=b(e,e.height-a.mouse(t)[1]-2*n.verticalPadding),i=\"crosshair\";r.clickableOrdinalRange?i=\"pointer\":r.region&&(i=r.region+\"-resize\"),a.select(document.body).style(\"cursor\",i)}function T(t){t.on(\"mousemove\",(function(t){a.event.preventDefault(),t.parent.inBrushDrag||w(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||v()})).call(a.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.unitToPaddedPx.invert(r),o=e.brush,s=b(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:i,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){_(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,i=r.svgBrush;i._dragging||(w(t,e),_(t,e),e.brush.svgBrush.wasDragged=!1),i._dragging=!1,a.event.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,e.parent.inBrushDrag=!1,v(),!i.wasDragged)return i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&e.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,0===i.extent.length&&M(r)):M(r),i.brushCallback(e),x(t.parentNode),void i.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),i.newExtent=[f(0,l,i.newExtent[0],i.stayingIntervals),f(1,l,i.newExtent[1],i.stayingIntervals)];var c=i.newExtent[1]>i.newExtent[0];i.extent=i.stayingIntervals.concat(c?[i.newExtent]:[]),i.extent.length||M(r),i.brushCallback(e),c?x(t.parentNode,s):(s(),x(t.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function k(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function A(t){for(var e,r=t.slice(),n=[],a=r.shift();a;){for(e=a.slice();(a=r.shift())&&a[0]<=e[1];)e[1]=Math.max(e[1],a[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,a,i){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(k)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=A(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=a,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:i}}},ensureAxisBrush:function(t){var e=t.selectAll(\".\"+n.cn.axisBrush).data(o,i);e.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t){var e=t.selectAll(\".background\").data(o);e.enter().append(\"rect\").classed(\"background\",!0).call(p).call(d).style(\"pointer-events\",\"auto\").attr(\"transform\",\"translate(0 \"+n.verticalPadding+\")\"),e.call(T).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var r=t.selectAll(\".highlight-shadow\").data(o);r.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",n.bar.strokeColor).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),r.attr(\"y1\",(function(t){return t.height})).call(y);var a=t.selectAll(\".highlight\").data(o);a.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\"),a.attr(\"y1\",(function(t){return t.height})).call(y)}(e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?A(t.sort(k)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[f(0,r,t[0],[]),f(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]}}},{\"../../lib\":749,\"../../lib/gup\":746,\"./constants\":1122,d3:169}],1120:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/get_data\").getModuleCalcData,i=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=a(t.calcdata,\"parcoords\")[0];e.length&&i(t,e)},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"parcoords\"),i=e._has&&e._has(\"parcoords\");a&&!i&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.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.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.width,height:this.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":725,\"../../plots/get_data\":835,\"./plot\":1129,d3:169}],1121:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,a=t(\"../../components/colorscale\"),i=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return a.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=a.extractOpts(e.line).colorscale,a.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]]),i({lineColor:r,cscale:o})}},{\"../../components/colorscale\":627,\"../../lib\":749,\"../../lib/gup\":746}],1122:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:\"#777\",bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeColor:\"white\",strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],1123:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),h=t(\"./constants\").maxDimensionCount,f=t(\"./merge_length\");function p(t,e,r,a){function i(r,a){return n.coerce(t,e,c.dimensions,r,a)}var o=i(\"values\"),s=i(\"visible\");if(o&&o.length||(s=e.visible=!1),s){i(\"label\"),i(\"tickvals\"),i(\"ticktext\"),i(\"tickformat\");var h=i(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:h},l.setConvert(e._ax,a.layout),i(\"multiselect\");var f=i(\"constraintrange\");f&&(e.constraintrange=u.cleanRanges(f,e))}}e.exports=function(t,e,r,l){function u(r,a){return n.coerce(t,e,c,r,a)}var d=t.dimensions;Array.isArray(d)&&d.length>h&&(n.log(\"parcoords traces support up to \"+h+\" dimensions at the moment\"),d.splice(h));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),m=function(t,e,r,o,s){var l=s(\"line.color\",r);if(a(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),i(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),f(e,g,\"values\",m);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":625,\"../../components/colorscale/helpers\":626,\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/cartesian/axes\":798,\"../../plots/domain\":825,\"./attributes\":1118,\"./axisbrush\":1119,\"./constants\":1122,\"./merge_length\":1127}],1124:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":749}],1125:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":1118,\"./base_plot\":1120,\"./calc\":1121,\"./defaults\":1123,\"./plot\":1129}],1126:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               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 sampler2D mask, palette;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\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(mask,\\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\"]),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,r,n,a){var i=t._gl;i.enable(i.SCISSOR_TEST),i.scissor(e,r,n,a),t.clear({color:[0,0,0,0],depth:1})}function f(t,e,r,n,a,i){var o=i.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,a-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,i.scissorX,i.scissorY,i.scissorWidth,i.viewBoxSize[1])),r.clearOnly||(i.count=2*c,i.offset=2*l*n,e(i),l*n+c<a&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),a=0,i=0;i<e;i++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*i+l];63===l&&0===o&&(c*=-1),n[a++]=c}return n}function m(t){var e=\"0\"+t;return e.substr(e.length-2)}function v(t){return t<o?\"p\"+m(t+1)+\"_\"+m(t+4):\"colors\"}function y(t,e,r,n,a,i,o,l,c,u,h,f,p){for(var d=[[],[]],g=0;g<64;g++)d[0][g]=g===a?1:0,d[1][g]=g===i?1:0;var 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r,n,l,m,b,_=e.context,w=e.pick,T=e.regl,k={currentRafs:{},drawCompleted:!0,clearOnly:!1},M=function(t){for(var e={},r=0;r<=o;r+=4)e[v(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(T),A=T.texture(u),S=[];C(e);var E=T({profile:!1,blend:{enable:_,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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C(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),m=l[0]?l[0].values.length:0;var e=r.lines,a=w?e.color.map((function(t,r){return r/e.color.length})):e.color,i=function(t,e,r){for(var n,a=new Array(t*(o+4)),i=0,s=0;s<t;s++){for(var l=0;l<o;l++)a[i++]=l<e.length?e[l].paddedUnitValues[s]:.5;a[i++]=d(s,2),a[i++]=d(s,1),a[i++]=d(s,0),a[i++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return a}(m,l,a);!function(t,e,r){for(var n=0;n<=o;n+=4)t[v(n)](g(n/4,e,r))}(M,m,i),_||w||(A=T.texture(s.extendFlat({data:p(r.unitToColor,255)},u)))}return{render:function(t,e,n){var a,i,o,s=t.length,c=1/0,u=-1/0;for(a=0;a<s;a++)t[a].dim0.canvasX<c&&(c=t[a].dim0.canvasX,i=a),t[a].dim1.canvasX>u&&(u=t[a].dim1.canvasX,o=a);0===s&&h(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,a=[[],[]];for(n=0;n<64;n++){var i=!t&&n<l.length?l[n].brush.filter.getBounds():[-1/0,1/0];a[0][n]=i[0],a[1][n]=i[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<l.length;e++){var s=e%8,c=(e-s)/8,u=Math.pow(2,s),h=l[e].brush.filter.get();if(!(h.length<2)){var f=x(h[0])[1];for(r=1;r<h.length;r++){var p=x(h[r]);for(n=f+1;n<p[0];n++)o[8*n+c]&=~u;f=Math.max(f,p[1])}}}var d={shape:[8,2048],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:o};return b?b(d):b=T.texture(d),{maskTexture:b,maskHeight:2048,loA:a[0].slice(0,16),loB:a[0].slice(16,32),loC:a[0].slice(32,48),loD:a[0].slice(48,64),hiA:a[1].slice(0,16),hiB:a[1].slice(16,32),hiC:a[1].slice(32,48),hiD:a[1].slice(48,64)}}(_);for(a=0;a<s;a++){var d=t[a],g=d.dim0.crossfilterDimensionIndex,v=d.dim1.crossfilterDimensionIndex,M=d.canvasX,A=d.canvasY,C=M+d.panelSizeX;if(e||!S[g]||S[g][0]!==M||S[g][1]!==C){S[g]=[M,C];var L=y(r,i,o,a,g,v,M,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,_?0:w?2:1,p);k.clearOnly=n;var P=e?r.lines.blockLineCount:m;f(T,E,k,P,m,L)}}},readPixel:function(t,e){return T.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,r,n){var a=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:a}),a},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",A.destroy(),b&&b.destroy(),M)M[e].destroy()},update:C}}},{\"../../lib\":749,\"./constants\":1122,glslify:413}],1127:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){var a,i;for(n||(n=1/0),a=0;a<e.length;a++)(i=e[a]).visible&&(n=Math.min(n,i[r].length));for(n===1/0&&(n=0),t._length=n,a=0;a<e.length;a++)(i=e[a]).visible&&(i._length=n);return n}},{}],1128:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"color-rgba\"),i=t(\"../../plots/cartesian/axes\"),o=t(\"../../lib\"),s=t(\"../../lib/svg_text_utils\"),l=t(\"../../components/drawing\"),c=t(\"../../components/colorscale\"),u=t(\"../../lib/gup\"),h=u.keyFun,f=u.repeat,p=u.unwrap,d=t(\"./helpers\"),g=t(\"./constants\"),m=t(\"./axisbrush\"),v=t(\"./lines\");function y(t,e,r){return o.aggNums(t,null,e,r)}function x(t,e){return _(y(Math.min,t,e),y(Math.max,t,e))}function b(t){var e=t.range;return e?_(e[0],e[1]):x(t.values,t._length)}function _(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function w(t,e,r,a,i){var o,s,l=b(r);return a?n.scale.ordinal().domain(a.map((o=n.format(r.tickformat),s=i,s?function(t,e){var r=s[e];return null==r?o(t):r}:o))).range(a.map((function(r){var n=(r-l[0])/(l[1]-l[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(l).range([t-e,e])}function T(t){if(t.tickvals){var e=b(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function k(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=a(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((a=t,function(t){return t[a]})));var a}));return function(t){return i.map((function(e){return e(t)}))}}function M(t){return t.dimensions.some((function(t){return t.brush.filterSpecified}))}function A(t,e,r){var i=p(e),s=i.trace,l=d.convertTypedArray(i.lineColor),u=s.line,h={color:a(g.deselectedLineColor)},f=c.extractOpts(u),m=f.reversescale?c.flipScale(i.cscale):i.cscale,v=s.domain,y=s.dimensions,x=t.width,_=s.labelangle,w=s.labelside,T=s.labelfont,M=s.tickfont,A=s.rangefont,S=o.extendDeepNoArrays({},u,{color:l.map(n.scale.linear().domain(b({values:l,range:[f.min,f.max],_length:s._length}))),blockLineCount:g.blockLineCount,canvasOverdrag:g.overdrag*g.canvasPixelRatio}),E=Math.floor(x*(v.x[1]-v.x[0])),C=Math.floor(t.height*(v.y[1]-v.y[0])),L=t.margin||{l:80,r:80,t:100,b:80},P=E,I=C;return{key:r,colCount:y.filter(d.isVisible).length,dimensions:y,tickDistance:g.tickDistance,unitToColor:k(m),lines:S,deselectedLines:h,labelAngle:_,labelSide:w,labelFont:T,tickFont:M,rangeFont:A,layoutWidth:x,layoutHeight:t.height,domain:v,translateX:v.x[0]*x,translateY:t.height-v.y[1]*t.height,pad:L,canvasWidth:P*g.canvasPixelRatio+2*S.canvasOverdrag,canvasHeight:I*g.canvasPixelRatio,width:P,height:I,canvasPixelRatio:g.canvasPixelRatio}}function S(t,e,r){var a=r.width,i=r.height,s=r.dimensions,l=r.canvasPixelRatio,c=function(t){return a*t/Math.max(1,r.colCount-1)},u=g.verticalPadding/i,h=function(t,e){return n.scale.linear().range([e,t-e])}(i,g.verticalPadding),f={key:r.key,xScale:c,model:r,inBrushDrag:!1},p={};return f.dimensions=s.filter(d.isVisible).map((function(a,s){var v=function(t,e){return n.scale.linear().domain(b(t)).range([e,1-e])}(a,u),y=p[a.label];p[a.label]=(y||0)+1;var x=a.label+(y?\"__\"+y:\"\"),_=a.constraintrange,k=_&&_.length;k&&!Array.isArray(_[0])&&(_=[_]);var A=k?_.map((function(t){return t.map(v)})):[[-1/0,1/0]],S=a.values;S.length>a._length&&(S=S.slice(0,a._length));var E,C=a.tickvals;function L(t,e){return{val:t,text:E[e]}}function P(t,e){return t.val-e.val}if(Array.isArray(C)&&C.length){E=a.ticktext,Array.isArray(E)&&E.length?E.length>C.length?E=E.slice(0,C.length):C.length>E.length&&(C=C.slice(0,E.length)):E=C.map(n.format(a.tickformat));for(var I=1;I<C.length;I++)if(C[I]<C[I-1]){for(var z=C.map(L).sort(P),O=0;O<C.length;O++)C[O]=z[O].val,E[O]=z[O].text;break}}else C=void 0;return S=d.convertTypedArray(S),{key:x,label:a.label,tickFormat:a.tickformat,tickvals:C,ticktext:E,ordinal:d.isOrdinal(a),multiselect:a.multiselect,xIndex:s,crossfilterDimensionIndex:s,visibleIndex:a._index,height:i,values:S,paddedUnitValues:S.map(v),unitTickvals:C&&C.map(v),xScale:c,x:c(s),canvasX:c(s)*l,unitToPaddedPx:h,domainScale:w(i,g.verticalPadding,a,C,E),ordinalScale:T(a),parent:f,model:r,brush:m.makeBrush(t,k,A,(function(){t.linePickActive(!1)}),(function(){var e=f;e.focusLayer&&e.focusLayer.render(e.panels,!0);var r=M(e);!t.contextShown()&&r?(e.contextLayer&&e.contextLayer.render(e.panels,!0),t.contextShown(!0)):t.contextShown()&&!r&&(e.contextLayer&&e.contextLayer.render(e.panels,!0,!0),t.contextShown(!1))}),(function(r){if(f.focusLayer.render(f.panels,!0),f.pickLayer&&f.pickLayer.render(f.panels,!0),t.linePickActive(!0),e&&e.filterChanged){var n=v.invert,i=r.map((function(t){return t.map(n).sort(o.sorterAsc)})).sort((function(t,e){return t[0]-e[0]}));e.filterChanged(f.key,a._index,i)}}))}})),f}function E(t){t.classed(g.cn.axisExtentText,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\")}function C(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 L(t,e){for(var r=e.panels||(e.panels=[]),n=t.data(),a=0;a<n.length-1;a++){var i=r[a]||(r[a]={}),o=n[a],s=n[a+1];i.dim0=o,i.dim1=s,i.canvasX=o.canvasX,i.panelSizeX=s.canvasX-o.canvasX,i.panelSizeY=e.model.canvasHeight,i.y=0,i.canvasY=0}}function P(t,e){return i.tickText(t._ax,e,!1).text}function I(t,e){if(t.ordinal)return\"\";var r=t.domainScale.domain(),n=r[e?r.length-1:0];return P(t.model.dimensions[t.visibleIndex],n)}e.exports=function(t,e,r,a){var c=t._fullLayout,u=c._toppaper,y=c._glcontainer;!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,a=n.dimensions,o=0;o<a.length;o++){var s=a[o].values,l=a[o]._ax;l&&(l.range?l.range=_(l.range[0],l.range[1]):l.range=x(s,n._length),l.dtick||(l.dtick=.01*(Math.abs(l.range[1]-l.range[0])||1)),l.tickformat=a[o].tickformat,i.calcTicks(l),l.cleanRange())}}(e);var b,w,T=(b=!0,w=!1,{linePickActive:function(t){return arguments.length?b=!!t:b},contextShown:function(t){return arguments.length?w=!!t:w}}),k=e.filter((function(t){return p(t).trace.visible})).map(A.bind(0,r)).map(S.bind(0,T,a));y.each((function(t,e){return o.extendFlat(t,k[e])}));var z=y.selectAll(\".gl-canvas\").each((function(t){t.viewModel=k[0],t.model=t.viewModel?t.viewModel.model:null})),O=null;z.filter((function(t){return t.pick})).style(\"pointer-events\",\"auto\").on(\"mousemove\",(function(t){if(T.linePickActive()&&t.lineLayer&&a&&a.hover){var e=n.event,r=this.width,i=this.height,o=n.mouse(this),s=o[0],l=o[1];if(s<0||l<0||s>=r||l>=i)return;var 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t.dimensions}),h);F.enter().append(\"g\").classed(g.cn.yAxis,!0),R.each((function(t){L(F,t)})),z.each((function(t){if(t.viewModel){!t.lineLayer||a?t.lineLayer=v(this,t):t.lineLayer.update(t),(t.key||0===t.key)&&(t.viewModel[t.key]=t.lineLayer);var e=!t.context||a;t.lineLayer.render(t.viewModel.panels,e)}})),F.attr(\"transform\",(function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"})),F.call(n.behavior.drag().origin((function(t){return t})).on(\"drag\",(function(t){var e=t.parent;T.linePickActive(!1),t.x=Math.max(-g.overdrag,Math.min(t.model.width+g.overdrag,n.event.x)),t.canvasX=t.x*t.model.canvasPixelRatio,F.sort((function(t,e){return t.x-e.x})).each((function(e,r){e.xIndex=r,e.x=t===e?e.x:e.xScale(e.xIndex),e.canvasX=e.x*e.model.canvasPixelRatio})),L(F,e),F.filter((function(e){return 0!==Math.abs(t.xIndex-e.xIndex)})).attr(\"transform\",(function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"})),n.select(this).attr(\"transform\",\"translate(\"+t.x+\", 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I(t,!0)})).each((function(t){l.font(n.select(this),t.model.rangeFont)}));var G=V.selectAll(\".\"+g.cn.axisExtentBottom).data(f,h);G.enter().append(\"g\").classed(g.cn.axisExtentBottom,!0),G.attr(\"transform\",(function(t){return\"translate(0,\"+(t.model.height+g.axisExtentOffset)+\")\"}));var Y=G.selectAll(\".\"+g.cn.axisExtentBottomText).data(f,h);Y.enter().append(\"text\").classed(g.cn.axisExtentBottomText,!0).attr(\"dy\",\"0.75em\").call(E),Y.text((function(t){return I(t,!1)})).each((function(t){l.font(n.select(this),t.model.rangeFont)})),m.ensureAxisBrush(B)}},{\"../../components/colorscale\":627,\"../../components/drawing\":637,\"../../lib\":749,\"../../lib/gup\":746,\"../../lib/svg_text_utils\":773,\"../../plots/cartesian/axes\":798,\"./axisbrush\":1119,\"./constants\":1122,\"./helpers\":1124,\"./lines\":1126,\"color-rgba\":126,d3:169}],1129:[function(t,e,r){\"use strict\";var n=t(\"./parcoords\"),a=t(\"../../lib/prepare_regl\"),i=t(\"./helpers\").isVisible;function o(t,e,r){var n=e.indexOf(r),a=t.indexOf(n);return-1===a&&(a+=e.length),a}e.exports=function(t,e){var r=t._fullLayout;if(a(t)){var s={},l={},c={},u={},h=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var a=u[r]=n._fullInput.index;s[r]=t.data[a].dimensions,l[r]=t.data[a].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,a){var i=l[e][n],o=a.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",h=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===h[s]){var f=i.constraintrange;h[s]=f||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),i.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete i.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return o(t,e,r)-o(t,e,n)}}(r,l[e].filter(i));s[e].sort(n),l[e].filter((function(t){return!i(t)})).sort((function(t){return l[e].indexOf(t)})).forEach((function(t){s[e].splice(s[e].indexOf(t),1),s[e].splice(l[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[s[e]]},[u[e]]])}})}}},{\"../../lib/prepare_regl\":762,\"./helpers\":1124,\"./parcoords\":1128}],1130:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),a=t(\"../../plots/domain\").attributes,i=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=i({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":614,\"../../lib/extend\":739,\"../../plots/attributes\":794,\"../../plots/domain\":825,\"../../plots/font_attributes\":826,\"../../plots/template_attributes\":876}],1131:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,a,i){n.plotBasePlot(r.name,t,e,a,i)},r.clean=function(t,e,a,i){n.cleanBasePlot(r.name,t,e,a,i)}},{\"../../plots/plots\":861}],1132:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"tinycolor2\"),i=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=a(e)).isValid()&&(e=i.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),i=e[n];if(!i){for(i=t.slice(),r=0;r<t.length;r++)i.push(a(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)i.push(a(t[r]).darken(20).toHexString());e[n]=i}return i}e.exports={calc:function(t,e){var r,a,i=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],h=e.values,f=e._length,p=e._hasValues&&f;if(e.dlabel)for(c=new Array(f),r=0;r<f;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),m=0,v=!1;for(r=0;r<f;r++){var y,x,b;if(p){if(y=h[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=i.length,(b=-1!==l.indexOf(x))||(m+=y),i.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(a=i[_]).v+=y,a.pts.push(r),a.hidden||(m+=y),!1===a.color&&u[r]&&(a.color=g(u[r],x)))}return(\"funnelarea\"===e.type?v:e.sort)&&i.sort((function(t,e){return e.v-t.v})),i[0]&&(i[0].vTotal=m),i},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,a=t.calcdata,i=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(i=l(i,o));for(var c=0,u=0;u<a.length;u++){var h=a[u];if(h[0].trace.type===r)for(var f=0;f<h.length;f++){var p=h[f];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=i[c%i.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":615,\"fast-isnumeric\":241,tinycolor2:548}],1133:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),i=a.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,i?e.length:1/0);if(isFinite(o)||(o=0),o&&i){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:i,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return a.coerce(t,e,i,r,n)}var u=l(c(\"labels\"),c(\"values\")),h=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),h){e._length=h,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var f,p=c(\"text\"),d=c(\"texttemplate\");if(d||(f=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||f&&\"none\"!==f){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),a.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":749,\"../../plots/domain\":825,\"../bar/defaults\":895,\"./attributes\":1130,\"fast-isnumeric\":241}],1134:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":651}],1135:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function a(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=a((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=a(t.toPrecision(10));return n.numSeparate(r,e)},r.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}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0}},{\"../../lib\":749}],1136:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":1130,\"./base_plot\":1131,\"./calc\":1132,\"./defaults\":1133,\"./layout_attributes\":1137,\"./layout_defaults\":1138,\"./plot\":1139,\"./style\":1140,\"./style_one\":1141}],1137:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1138:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":749,\"./layout_attributes\":1137}],1139:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/plots\"),i=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"../../lib/svg_text_utils\"),u=t(\"../bar/uniform_text\"),h=u.recordMinTextSize,f=u.clearMinTextSize,p=t(\"../bar/constants\").TEXTPAD,d=t(\"./helpers\"),g=t(\"./event_data\"),m=t(\"../../lib\").isValidTextValue;function v(t,e,r){var a=r[0],o=a.trace,s=a.cx,c=a.cy;\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var h=u.hoverinfo;if(Array.isArray(h)&&(h=i.castHoverinfo({hoverinfo:[d.castOption(h,t.pts)],_module:o._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),u.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var f=t.rInscribed||0,p=s+t.pxmid[0]*(1-f),m=c+t.pxmid[1]*(1-f),v=r.separators,y=[];if(h&&-1!==h.indexOf(\"label\")&&y.push(t.label),t.text=d.castOption(u.hovertext||u.text,t.pts),h&&-1!==h.indexOf(\"text\")){var x=t.text;l.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=d.formatPieValue(t.v,v),h&&-1!==h.indexOf(\"value\")&&y.push(t.valueLabel),t.percent=t.v/a.vTotal,t.percentLabel=d.formatPiePercent(t.percent,v),h&&-1!==h.indexOf(\"percent\")&&y.push(t.percentLabel);var b=u.hoverlabel,_=b.font;i.loneHover({trace:o,x0:p-f*a.r,x1:p+f*a.r,y:m,text:y.join(\"<br>\"),name:u.hovertemplate||-1!==h.indexOf(\"name\")?u.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:d.castOption(b.bgcolor,t.pts)||t.color,borderColor:d.castOption(b.bordercolor,t.pts),fontFamily:d.castOption(_.family,t.pts),fontSize:d.castOption(_.size,t.pts),fontColor:d.castOption(_.color,t.pts),nameLength:d.castOption(b.namelength,t.pts),textAlign:d.castOption(b.align,t.pts),hovertemplate:d.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[g(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[g(t,u)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,a=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[g(s,a)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(i.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,a=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[g(t,a)],i.click(e,n.event))}))}function y(t,e,r){var n=d.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=d.castOption(t._input.textfont.color,e.pts));var a=d.castOption(t.insidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.insidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:a,size:i}}function x(t,e){for(var r,n,a=0;a<t.length;a++)if((n=(r=t[a][0]).trace).title.text){var i=n.title.text;n._meta&&(i=l.templateString(i,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(i).call(s.font,n.title.font).call(c.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function b(t,e,r){var n=r.r||e.rpx1,a=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-a,scale:0,rotate:0,textPosAngle:0};var i,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,h=\"horizontal\"===u,f=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var m,v=function(r,a){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),c=s<l?s:l;(i=\"tan\"===a?w(t,n,o,c,0):_(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(i)}};if(h||f){for(m=4;m>=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(h||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||h){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((i={scale:a*n*2/y,rCenter:1-a,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,i.scale>=1)return i;g.push(i)}(d||p)&&((i=_(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i)),(d||f)&&((i=w(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i));for(var x=0,b=0,T=0;T<g.length;T++){var k=g[T].scale;if(b<k&&(b=k,x=T),!d&&b>=1)break}return g[x]}function _(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.width/t.height,o=M(i,n,e,r);return{scale:2*o/t.height,rCenter:T(i,o/e),rotate:k(a)}}function w(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.height/t.width,o=M(i,n,e,r);return{scale:2*o/t.width,rCenter:T(i,o/e),rotate:k(a+Math.PI/2)}}function T(t,e){return Math.cos(e)-t*e}function k(t){return(180/Math.PI*t+720)%180-90}function M(t,e,r,n){var a=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(a*a+.5)+a),n/(Math.sqrt(t*t+n/2)+t))}function A(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function S(t,e){var r=e.pxmid[0],n=e.pxmid[1],a=t.width/2,i=t.height/2;return r<0&&(a*=-1),n<0&&(i*=-1),{scale:1,rCenter:1,rotate:0,x:a+Math.abs(i)*(a>0?1:-1)/2,y:i/(1+r*r/(n*n)),outside:!0}}function E(t,e){var r,n,a,i=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=i.title.font.size,a=L(i),-1!==i.title.position.indexOf(\"top\")?(o.y-=(1+a)*t.r,s.ty-=t.titleBox.height):-1!==i.title.position.indexOf(\"bottom\")&&(o.y+=(1+a)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),h=e.w*(i.domain.x[1]-i.domain.x[0])/2;return-1!==i.title.position.indexOf(\"left\")?(h+=u,o.x-=(1+a)*u,s.tx+=t.titleBox.width/2):-1!==i.title.position.indexOf(\"center\")?h*=2:-1!==i.title.position.indexOf(\"right\")&&(h+=u,o.x+=(1+a)*u,s.tx-=t.titleBox.width/2),r=h/t.titleBox.width,n=C(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function C(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 L(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 P(t,e){for(var r=[],n=0;n<t.length;n++){var a=t[n][0],i=a.trace,o=i.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);i.title.text&&\"middle center\"!==i.title.position&&(l-=C(a,e));var c=s/2,u=l/2;\"funnelarea\"!==i.type||i.scalegroup||(u/=i.aspectratio),a.r=Math.min(c,u)/(1+L(i)),a.cx=e.l+e.w*(i.domain.x[1]+i.domain.x[0])/2,a.cy=e.t+e.h*(1-i.domain.y[0])-l/2,i.title.text&&-1!==i.title.position.indexOf(\"bottom\")&&(a.cy-=C(a,e)),i.scalegroup&&-1===r.indexOf(i.scalegroup)&&r.push(i.scalegroup)}!function(t,e){for(var r,n,a,i=0;i<e.length;i++){var o=1/0,s=e[i];for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var l;if(\"pie\"===a.type)l=r.r*r.r;else if(\"funnelarea\"===a.type){var c,u;a.aspectratio>1?(c=r.r,u=c/a.aspectratio):(u=r.r,c=u*a.aspectratio),c*=(1+a.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var h=o*r.vTotal;\"funnelarea\"===a.type&&(h/=(1+a.baseratio)/2,h/=a.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}function I(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,a=r.trace,i=a.texttemplate,o=a.textinfo;if(!i&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},h=u(\"label\"),f=u(\"text\"),p=u(\"value\"),g=u(\"percent\"),v=n.separators;if(s=h?[e.label]:[],f){var y=d.getFirstFilled(a.text,e.pts);m(y)&&s.push(y)}p&&s.push(d.formatPieValue(e.v,v)),g&&s.push(d.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(i){var x=l.castOption(a,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:d.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:d.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(a,t.i,\"customdata\")}}(e),_=d.getFirstFilled(a.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,a._meta||{})}else e.text=\"\"}}function O(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),a=Math.sin(r),i=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=i*n-o*a,t.textY=i*a+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,i=r._size;f(\"pie\",r),x(e,t),P(e,i);var u=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var u=n.select(this),f=e[0],p=f.trace;!function(t){var e,r,n,a=t[0],i=a.r,o=a.trace,s=o.rotation*Math.PI/180,l=2*Math.PI/a.vTotal,c=\"px0\",u=\"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,c=\"px1\",u=\"px0\"}for(n=I(i,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=I(i,s),r.midangle=s,s+=l*r.v/2,n=I(i,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>a.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/a.vTotal,.5),r.ring=1-o.hole,r.rInscribed=A(r,a))}(e),u.attr(\"stroke-linejoin\",\"round\"),u.each((function(){var g=n.select(this).selectAll(\"g.slice\").data(e);g.enter().append(\"g\").classed(\"slice\",!0),g.exit().remove();var m=[[[],[]],[[],[]]],x=!1;g.each((function(a,i){if(a.hidden)n.select(this).selectAll(\"path,g\").remove();else{a.pointNumber=a.i,a.curveNumber=p.index,m[a.pxmid[1]<0?0:1][a.pxmid[0]<0?0:1].push(a);var o=f.cx,u=f.cy,g=n.select(this),_=g.selectAll(\"path.surface\").data([a]);if(_.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),g.call(v,t,e),p.pull){var w=+d.castOption(p.pull,a.pts)||0;w>0&&(o+=w*a.pxmid[0],u+=w*a.pxmid[1])}a.cxFinal=o,a.cyFinal=u;var T=p.hole;if(a.v===f.vTotal){var k=\"M\"+(o+a.px0[0])+\",\"+(u+a.px0[1])+L(a.px0,a.pxmid,!0,1)+L(a.pxmid,a.px0,!0,1)+\"Z\";T?_.attr(\"d\",\"M\"+(o+T*a.px0[0])+\",\"+(u+T*a.px0[1])+L(a.px0,a.pxmid,!1,T)+L(a.pxmid,a.px0,!1,T)+\"Z\"+k):_.attr(\"d\",k)}else{var M=L(a.px0,a.px1,!0,1);if(T){var A=1-T;_.attr(\"d\",\"M\"+(o+T*a.px1[0])+\",\"+(u+T*a.px1[1])+L(a.px1,a.px0,!1,T)+\"l\"+A*a.px0[0]+\",\"+A*a.px0[1]+M+\"Z\")}else _.attr(\"d\",\"M\"+o+\",\"+u+\"l\"+a.px0[0]+\",\"+a.px0[1]+M+\"Z\")}z(t,a,f);var E=d.castOption(p.textposition,a.pts),C=g.selectAll(\"g.slicetext\").data(a.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var g=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),m=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){var n=d.castOption(t.outsidetextfont.color,e.pts)||d.castOption(t.textfont.color,e.pts)||r.color,a=d.castOption(t.outsidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.outsidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:a,size:i}}(p,a,r.font):y(p,a,r.font));g.text(a.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,m).call(c.convertToTspans,t);var v,_=s.bBox(g.node());if(\"outside\"===E)v=S(_,a);else if(v=b(_,a,f),\"auto\"===E&&v.scale<1){var w=l.ensureUniformFontSize(t,p.outsidetextfont);g.call(s.font,w),v=S(_=s.bBox(g.node()),a)}var T=v.textPosAngle,k=void 0===T?a.pxmid:I(f.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=u+k[1]*v.rCenter+(v.y||0),O(v,_),v.outside){var M=v.targetY;a.yLabelMin=M-_.height/2,a.yLabelMid=M,a.yLabelMax=M+_.height/2,a.labelExtraX=0,a.labelExtraY=0,x=!0}v.fontSize=m.size,h(p.type,v,r),e[i].transform=v,g.attr(\"transform\",l.getTextTransform(v))}))}function L(t,e,r,n){var i=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*f.r+\",\"+n*f.r+\" 0 \"+a.largeArc+(r?\" 1 \":\" 0 \")+i+\",\"+o}}));var _=n.select(this).selectAll(\"g.titletext\").data(p.title.text?[0]:[]);if(_.enter().append(\"g\").classed(\"titletext\",!0),_.exit().remove(),_.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),a=p.title.text;p._meta&&(a=l.templateString(a,p._meta)),r.text(a).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,p.title.font).call(c.convertToTspans,t),e=\"middle center\"===p.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}}(f):E(f,i),r.attr(\"transform\",\"translate(\"+e.x+\",\"+e.y+\")\"+(e.scale<1?\"scale(\"+e.scale+\")\":\"\")+\"translate(\"+e.tx+\",\"+e.ty+\")\")})),x&&function(t,e){var r,n,a,i,o,s,l,c,u,h,f,p,g;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var a,c,u,f,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),g=n?t.yLabelMin:t.yLabelMax,m=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-g;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<h.length;c++)(u=h[c])===t||(d.castOption(e.pull,t.pts)||0)>=(d.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-g-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(m+t.labelExtraY-v)*l>0&&(a=3*s*Math.abs(c-h.indexOf(t)),(f=u.cxFinal+i(u.px0[0],u.px1[0])+a-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=f)))}for(n=0;n<2;n++)for(a=n?m:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(i=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(a),u=t[1-n][r],h=u.concat(c),p=[],f=0;f<c.length;f++)void 0!==c[f].yLabelMid&&p.push(c[f]);for(g=!1,f=0;n&&f<u.length;f++)if(void 0!==u[f].yLabelMid){g=u[f];break}for(f=0;f<p.length;f++){var x=f&&p[f-1];g&&!f&&(x=g),y(p[f],x)}}}(m,p),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var a=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,a.attr(\"transform\",l.getTextTransform(t.transform));var i=t.cxFinal+t.pxmid[0],s=\"M\"+i+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],h=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(h)?s+=\"l\"+h*t.pxmid[0]/t.pxmid[1]+\",\"+h+\"H\"+(i+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(h-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;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()}))}(g,p),x&&p.automargin){var 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n=t(\"d3\"),a=t(\"./style_one\"),i=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");i(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(a,t,e)}))}))}},{\"../bar/uniform_text\":907,\"./style_one\":1141,d3:169}],1141:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),a=t(\"./helpers\").castOption;e.exports=function(t,e,r){var i=r.marker.line,o=a(i.color,e.pts)||n.defaultLine,s=a(i.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":615,\"./helpers\":1135}],1142:[function(t,e,r){\"use strict\";var 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g=t._fullData[d].node;t._fullData[d]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var _=c(t,\"source:\")+\" \",w=c(t,\"target:\")+\" \",T=c(t,\"concentration:\")+\" \",k=c(t,\"incoming flow count:\")+\" \",M=c(t,\"outgoing flow count:\")+\" \";a(t,s,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(y.bind(0,r,a,!0)),\"skip\"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.link]})))},follow:function(e,a){if(!1!==t._fullLayout.hovermode){var s=a.link.trace.link;if(\"none\"!==s.hoverinfo&&\"skip\"!==s.hoverinfo){for(var l=[],c=0,h=0;h<a.flow.links.length;h++){var d=a.flow.links[h];if(\"closest\"!==t._fullLayout.hovermode||a.link.pointNumber===d.pointNumber){a.link.pointNumber===d.pointNumber&&(c=h),d.fullData=d.trace,s=a.link.trace.link;var g=v(d),m={valueLabel:n.format(a.valueFormat)(d.value)+a.valueSuffix};l.push({x:g[0],y:g[1],name:m.valueLabel,text:[d.label||\"\",_+d.source.label,w+d.target.label,d.concentrationscale?T+n.format(\"%0.2f\")(d.flow.labelConcentration):\"\"].filter(u).join(\"<br>\"),color:b(s,\"bgcolor\")||o.addOpacity(d.color,1),borderColor:b(s,\"bordercolor\"),fontFamily:b(s,\"font.family\"),fontSize:b(s,\"font.size\"),fontColor:b(s,\"font.color\"),nameLength:b(s,\"namelength\"),textAlign:b(s,\"align\"),idealAlign:n.event.x<g[0]?\"right\":\"left\",hovertemplate:s.hovertemplate,hovertemplateLabels:m,eventData:[d]})}}i.loneHover(l,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:c}).each((function(){a.link.concentrationscale||f(this,.65),p(this)}))}}function v(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return\"v\"===t.trace.orientation&&n.reverse(),n[0]+=a.parent.translateX,n[1]+=a.parent.translateY,n}},unhover:function(e,a,o){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,a,o,!0)),\"skip\"!==a.link.trace.link.hoverinfo&&(a.link.fullData=a.link.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[a.link]})),i.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var a=r.link;a.originalEvent=n.event,t._hoverdata=[a],i.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,r,a),\"skip\"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.node]})))},follow:function(e,a){if(!1!==t._fullLayout.hovermode){var o=a.node.trace.node;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){var s=n.select(e).select(\".\"+l.nodeRect),c=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=s.node().getBoundingClientRect(),d=h.left-2-c.left,g=h.right+2-c.left,m=h.top+h.height/4-c.top,v={valueLabel:n.format(a.valueFormat)(a.node.value)+a.valueSuffix};a.node.fullData=a.node.trace;var y=i.loneHover({x0:d,x1:g,y:m,name:n.format(a.valueFormat)(a.node.value)+a.valueSuffix,text:[a.node.label,k+a.node.targetLinks.length,M+a.node.sourceLinks.length].filter(u).join(\"<br>\"),color:b(o,\"bgcolor\")||a.tinyColorHue,borderColor:b(o,\"bordercolor\"),fontFamily:b(o,\"font.family\"),fontSize:b(o,\"font.size\"),fontColor:b(o,\"font.color\"),nameLength:b(o,\"namelength\"),textAlign:b(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:v,eventData:[a.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});f(y,.85),p(y)}}},unhover:function(e,a,o){!1!==t._fullLayout.hovermode&&(n.select(e).call(v,a,o),\"skip\"!==a.node.trace.node.hoverinfo&&(a.node.fullData=a.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[a.node]})),i.loneUnhover(r._hoverlayer.node()))},select:function(e,r,a){var o=r.node;o.originalEvent=n.event,t._hoverdata=[o],n.select(e).call(v,r,a),i.click(t,{target:!0})}}})}},{\"../../components/color\":615,\"../../components/fx\":655,\"../../lib\":749,\"./constants\":1149,\"./render\":1153,d3:169}],1153:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"tinycolor2\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"@plotly/d3-sankey\"),c=t(\"@plotly/d3-sankey-circular\"),u=t(\"d3-force\"),h=t(\"../../lib\"),f=t(\"../../lib/gup\"),p=f.keyFun,d=f.repeat,g=f.unwrap,m=t(\"d3-interpolate\").interpolateNumber,v=t(\"../../registry\");function y(t,e,r){var a,o=g(e),s=o.trace,u=s.domain,f=\"h\"===s.orientation,p=s.node.pad,d=s.node.thickness,m=t.width*(u.x[1]-u.x[0]),v=t.height*(u.y[1]-u.y[0]),y=o._nodes,x=o._links,b=o.circular;(a=b?c.sankeyCircular().circularLinkGap(0):l.sankey()).iterations(n.sankeyIterations).size(f?[m,v]:[v,m]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(y).links(x);var _,w,T,k=a();for(var M in a.nodePadding()<p&&h.warn(\"node.pad was reduced to \",a.nodePadding(),\" to fit within the figure.\"),o._groupLookup){var A,S=parseInt(o._groupLookup[M]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){A=k.nodes[_];break}if(A){var E={pointNumber:parseInt(M),x0:A.x0,x1:A.x1,y0:A.y0,y1:A.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),A.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var a=Object.keys(n);for(w=0;w<a.length;w++){var o=n[t=a[w]],s=0,l={};for(T=0;T<o.length;T++)l[(e=o[T]).label]||(l[e.label]=0),l[e.label]+=e.value,s+=e.value;for(T=0;T<o.length;T++)(e=o[T]).flow={value:s,labelConcentration:l[e.label]/s,concentration:e.value/s,links:o},e.concentrationscale&&(e.color=i(e.concentrationscale(e.flow.labelConcentration)))}var c=0;for(w=0;w<r.sourceLinks.length;w++)c+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/c;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),s.node.x.length&&s.node.y.length){for(_=0;_<Math.min(s.node.x.length,s.node.y.length,k.nodes.length);_++)if(s.node.x[_]&&s.node.y[_]){var C=[s.node.x[_]*m,s.node.y[_]*v];k.nodes[_].x0=C[0]-d/2,k.nodes[_].x1=C[0]+d/2;var L=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=C[1]-L/2,k.nodes[_].y1=C[1]+L/2}if(\"snap\"===s.arrangement)!function(t){t.forEach((function(t){var e,r,n,a=0,i=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<i;++n)(e=t[n]).y0>=a||(r=a-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),a=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),a=[],i=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(i+=1,e=s.x0),o=s.x0,a[i]||(a[i]=[]),a[i].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return a}(y=k.nodes));a.update(k)}return{circular:b,key:r,trace:s,guid:h.randstr(),horizontal:f,width:m,height:v,nodePad:s.node.pad,nodeLineColor:s.node.line.color,nodeLineWidth:s.node.line.width,linkLineColor:s.link.line.color,linkLineWidth:s.link.line.width,valueFormat:s.valueformat,valueSuffix:s.valuesuffix,textFont:s.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?v:m,dragPerpendicular:f?m:v,arrangement:s.arrangement,sankey:a,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function x(t,e,r){var n=i(e.color),a=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:o.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:b,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function b(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,i=t.link.target.x0,o=m(a,i),s=o(.5),l=o(.5),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,f=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+c+\"C\"+s+\",\"+c+\" \"+l+\",\"+h+\" \"+i+\",\"+h+\"L\"+i+\",\"+f+\"C\"+l+\",\"+f+\" \"+s+\",\"+u+\" \"+a+\",\"+u+\"Z\"}}function _(t,e){var r=i(e.color),a=n.nodePadAcross,s=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var l=e.dx,c=Math.max(.5,e.dy),u=\"node_\"+e.pointNumber;return e.group&&(u=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:u,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(l),visibleHeight:c,zoneX:-a,zoneY:-s,zoneWidth:l+2*a,zoneHeight:c+2*s,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:o.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,u].join(\"_\"),interactionState:t.interactionState,figure:t}}function w(t){t.attr(\"transform\",(function(t){return\"translate(\"+t.node.x0.toFixed(3)+\", \"+t.node.y0.toFixed(3)+\")\"}))}function T(t){t.call(w)}function k(t,e){t.call(T),e.attr(\"d\",b())}function M(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function A(t){return t.link.width>1||t.linkLineWidth>0}function S(t){return\"translate(\"+t.translateX+\",\"+t.translateY+\")\"+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function E(t){return\"translate(\"+(t.horizontal?0:t.labelY)+\" \"+(t.horizontal?t.labelY:0)+\")\"}function C(t){return a.svg.line()([[t.horizontal?t.left?-t.sizeAcross:t.visibleWidth+n.nodeTextOffsetHorizontal:n.nodeTextOffsetHorizontal,0],[t.horizontal?t.left?-n.nodeTextOffsetHorizontal:t.sizeAcross:t.visibleHeight-n.nodeTextOffsetHorizontal,0]])}function L(t){return t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\"}function P(t){return t.horizontal?\"scale(1 1)\":\"scale(-1 1)\"}function I(t){return t.darkBackground&&!t.horizontal?\"rgb(255,255,255)\":\"rgb(0,0,0)\"}function z(t){return t.horizontal&&t.left?\"100%\":\"0%\"}function O(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 D(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,a){!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 i=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=u.forceSimulation(i).alphaDecay(0).force(\"collide\",u.forceCollide().radius((function(t){return 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d=t.opacity;if(t.marker&&t.marker.opacity&&(d*=t.marker.opacity),r={gl:this.scene.glplot.gl,position:p.position,color:p.scatterColor,size:p.scatterSize,glyph:p.scatterMarker,opacity:d,orthographic:!0,lineWidth:p.scatterLineWidth,lineColor:p.scatterLineColor,project:p.project,projectScale:p.projectScale,projectOpacity:p.projectOpacity},-1!==this.mode.indexOf(\"markers\")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=a(r),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),c={gl:this.scene.glplot.gl,position:p.position,glyph:p.text,color:p.textColor,size:p.textSize,angle:p.textAngle,alignment:p.textOffset,font:p.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf(\"text\")?this.textMarkers?this.textMarkers.update(c):(this.textMarkers=a(c),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),l={gl:this.scene.glplot.gl,position:p.position,color:p.errorColor,error:p.errorBounds,lineWidth:p.errorLineWidth,capSize:p.errorCapSize,opacity:t.opacity},this.errorBars?p.errorBounds?this.errorBars.update(l):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):p.errorBounds&&(this.errorBars=i(l),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),p.delaunayAxis>=0){var g=function(t,e,r){var n,a=(r+1)%3,i=(r+2)%3,o=[],l=[];for(n=0;n<t.length;++n){var c=t[n];!isNaN(c[a])&&isFinite(c[a])&&!isNaN(c[i])&&isFinite(c[i])&&(o.push([c[a],c[i]]),l.push(n))}var u=s(o);for(n=0;n<u.length;++n)for(var h=u[n],f=0;f<h.length;++f)h[f]=l[h[f]];return{positions:t,cells:u,meshColor:e}}(p.position,p.delaunayColor,p.delaunayAxis);g.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(g):(g.gl=u,this.delaunayMesh=o(g),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh))}else 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r.update(e),r}},{\"../../components/fx/helpers\":651,\"../../constants/gl3d_dashes\":721,\"../../constants/gl3d_markers\":722,\"../../lib\":749,\"../../lib/gl_format_color\":745,\"../../lib/str2rgbarray\":772,\"../../plots/cartesian/axes\":798,\"../scatter/make_bubble_size_func\":1173,\"./calc_errors\":1186,\"delaunay-triangulate\":171,\"gl-error3d\":264,\"gl-line3d\":271,\"gl-mesh3d\":292,\"gl-scatter3d\":308}],1188:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/text_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function h(r,n){return a.coerce(t,e,c,r,n)}if(function(t,e,r,a){var i=0,o=r(\"x\"),s=r(\"y\"),l=r(\"z\");n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],a),o&&s&&l&&(i=Math.min(o.length,s.length,l.length),e._length=e._xlength=e._ylength=e._zlength=i);return i}(t,e,h,u)){h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),i.hasLines(e)&&(h(\"connectgaps\"),s(t,e,r,u,h)),i.hasMarkers(e)&&o(t,e,r,u,h,{noSelect:!0}),i.hasText(e)&&(h(\"texttemplate\"),l(t,e,u,h,{noSelect:!0}));var f=(e.line||{}).color,p=(e.marker||{}).color;h(\"surfaceaxis\")>=0&&h(\"surfacecolor\",f||p);for(var d=[\"x\",\"y\",\"z\"],g=0;g<3;++g){var m=\"projection.\"+d[g];h(m+\".show\")&&(h(m+\".opacity\"),h(m+\".scale\"))}var v=n.getComponentMethod(\"errorbars\",\"supplyDefaults\");v(t,e,f||p||r,{axis:\"z\"}),v(t,e,f||p||r,{axis:\"y\",inherit:\"z\"}),v(t,e,f||p||r,{axis:\"x\",inherit:\"z\"})}else e.visible=!1}},{\"../../lib\":749,\"../../registry\":881,\"../scatter/line_defaults\":1169,\"../scatter/marker_defaults\":1175,\"../scatter/subtypes\":1181,\"../scatter/text_defaults\":1182,\"./attributes\":1184}],1189:[function(t,e,r){\"use 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n=t(\"../scatter/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,h=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:h.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},a.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:i()}},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plots/attributes\":794,\"../../plots/template_attributes\":876,\"../scatter/attributes\":1156}],1191:[function(t,e,r){\"use 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n=t(\"../../lib\"),a=t(\"../scatter/constants\"),i=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function p(r,a){return n.coerce(t,e,h,r,a)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),m=Math.min(d.length,g.length);if(m){e._length=m,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",m<a.PTS_LINESONLY?\"lines+markers\":\"lines\"),i.hasLines(e)&&(s(t,e,r,f,p),l(t,e,p),p(\"connectgaps\")),i.hasMarkers(e)&&o(t,e,r,f,p,{gradient:!0}),i.hasText(e)&&c(t,e,f,p);var v=[];(i.hasMarkers(e)||i.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),i.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":749,\"../scatter/constants\":1160,\"../scatter/fillcolor_defaults\":1164,\"../scatter/line_defaults\":1169,\"../scatter/line_shape_defaults\":1171,\"../scatter/marker_defaults\":1175,\"../scatter/subtypes\":1181,\"../scatter/text_defaults\":1182,\"./attributes\":1190}],1193:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){var i=n[a];return t.a=i.a,t.b=i.b,t.y=i.y,t}},{}],1194:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,a=n.ab2ij([t.a,t.b]),i=Math.floor(a[0]),o=a[0]-i,s=Math.floor(a[1]),l=a[1]-s,c=n.evalxy([],i,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1195:[function(t,e,r){\"use 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n=t(\"../../lib\"),a=t(\"../../registry\"),i=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),h=t(\"../scatter/marker_defaults\"),f=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,g){function m(r,a){return n.coerce(t,e,o,r,a)}var v=!!t.marker&&i.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,g,m);if(x){u(t,e,g,m);var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";m(\"text\"),m(\"hovertext\"),m(\"hovertemplate\"),m(\"mode\",b),l.hasLines(e)&&(m(\"connectgaps\"),f(t,e,r,g,m),m(\"line.shape\")),l.hasMarkers(e)&&(h(t,e,r,g,m),m(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(m(\"texttemplate\"),d(t,e,g,m));var _=(e.line||{}).color,w=(e.marker||{}).color;m(\"fill\"),\"none\"!==e.fill&&p(t,e,r,m);var T=a.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,m)}else e.visible=!1}},{\"../../lib\":749,\"../../registry\":881,\"../scatter/constants\":1160,\"../scatter/fillcolor_defaults\":1164,\"../scatter/line_defaults\":1169,\"../scatter/marker_defaults\":1175,\"../scatter/period_defaults\":1176,\"../scatter/subtypes\":1181,\"../scatter/text_defaults\":1182,\"../scatter/xy_defaults\":1183,\"./attributes\":1208,\"./helpers\":1215}],1213:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/color\"),i=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,h=c.selectBatch[u],f=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},m=n.extendFlat({},p);if(h.length||f.length){var v=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(m.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],m.color[r]=v||(b?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var _=b?x[r]:x;m.color[r]=y||(v?_:a.addOpacity(_,i))}}c.glText[u].update(m)}}},{\"../../components/color\":615,\"../../constants/interactions\":723,\"../../lib\":749}],1214:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var a=t.i;return\"x\"in t||(t.x=e._x[a]),\"y\"in t||(t.y=e._y[a]),n(t,e,r)}},{\"../scatter/format_labels\":1165}],1215:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":1210}],1216:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,f={pointNumber:h,x:e[h],y:r[h]};f.tx=Array.isArray(o.text)?o.text[h]:o.text,f.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,f.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,f.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var p=o.textfont;p&&(f.ts=a.isArrayOrTypedArray(p.size)?p.size[h]:p.size,f.tc=Array.isArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family);var d=o.marker;d&&(f.ms=a.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=a.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=a.isArrayOrTypedArray(d.symbol)?d.symbol[h]:d.symbol,f.mc=a.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var g=d&&d.line;g&&(f.mlc=Array.isArray(g.color)?g.color[h]:g.color,f.mlw=a.isArrayOrTypedArray(g.width)?g.width[h]:g.width);var m=d&&d.gradient;m&&\"none\"!==m.type&&(f.mgt=Array.isArray(m.type)?m.type[h]:m.type,f.mgc=Array.isArray(m.color)?m.color[h]:m.color);var v=s.c2p(f.x,!0),y=l.c2p(f.y,!0),x=f.mrc||1,b=o.hoverlabel;b&&(f.hbg=Array.isArray(b.bgcolor)?b.bgcolor[h]:b.bgcolor,f.hbc=Array.isArray(b.bordercolor)?b.bordercolor[h]:b.bordercolor,f.hts=a.isArrayOrTypedArray(b.font.size)?b.font.size[h]:b.font.size,f.htc=Array.isArray(b.font.color)?b.font.color[h]:b.font.color,f.htf=Array.isArray(b.font.family)?b.font.family[h]:b.font.family,f.hnl=a.isArrayOrTypedArray(b.namelength)?b.namelength[h]:b.namelength);var _=o.hoverinfo;_&&(f.hi=Array.isArray(_)?_[h]:_);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var T={};T[t.index]=f;var k=o._origX,M=o._origY,A=a.extendFlat({},t,{color:i(o,f),x0:v-x,x1:v+x,xLabelVal:k?k[h]:f.x,y0:y-x,y1:y+x,yLabelVal:M?M[h]:f.y,cd:T,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?A.text=f.htx:f.tx?A.text=f.tx:o.text&&(A.text=o.text),a.fillText(f,o,A),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(f,o,A),A}e.exports={hoverPoints:function(t,e,r,n){var a,i,s,l,c,u,h,f,p,d=t.cd,g=d[0].t,m=d[0].trace,v=t.xa,y=t.ya,x=g.x,b=g.y,_=v.c2p(e),w=y.c2p(r),T=t.distance;if(g.tree){var k=v.p2c(_-T),M=v.p2c(_+T),A=y.p2c(w-T),S=y.p2c(w+T);a=\"x\"===n?g.tree.range(Math.min(k,M),Math.min(y._rl[0],y._rl[1]),Math.max(k,M),Math.max(y._rl[0],y._rl[1])):g.tree.range(Math.min(k,M),Math.min(A,S),Math.max(k,M),Math.max(A,S))}else a=g.ids;var E=T;if(\"x\"===n)for(c=0;c<a.length;c++)s=x[a[c]],(u=Math.abs(v.c2p(s)-_))<E&&(E=u,h=y.c2p(b[a[c]])-w,p=Math.sqrt(u*u+h*h),i=a[c]);else for(c=a.length-1;c>-1;c--)s=x[a[c]],l=b[a[c]],u=v.c2p(s)-_,h=y.c2p(l)-w,(f=Math.sqrt(u*u+h*h))<E&&(E=p=f,i=a[c]);return t.index=i,t.distance=E,t.dxy=p,void 0===i?[t]:[o(t,x,b,m)]},calcHover:o}},{\"../../lib\":749,\"../../registry\":881,\"../scatter/get_trace_color\":1166}],1217:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":811,\"../scatter/cross_trace_defaults\":1162,\"../scatter/marker_colorbar\":1174,\"./attributes\":1208,\"./calc\":1209,\"./defaults\":1212,\"./format_labels\":1214,\"./hover\":1216,\"./plot\":1218,\"./select\":1220}],1218:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),a=t(\"regl-line2d\"),i=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),h=t(\"../scatter/link_traces\"),f=t(\"./edit_style\").styleTextSelection;function p(t,e,r){var n=t._size,a=t.width,i=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,a-n.r-(1-e.domain[1])*n.w,i-n.t-(1-r.domain[1])*n.h]}e.exports=function(t,e,r){if(r.length){var d,g,m=t._fullLayout,v=e._scene,y=e.xaxis,x=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var b=v.count,_=m._glcanvas.data()[0].regl;if(h(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=i(_)),!0===v.line2d&&(v.line2d=a(_)),!0===v.scatter2d&&(v.scatter2d=n(_,{constPointSize:!0})),!0===v.fill2d&&(v.fill2d=a(_)),!0===v.glText)for(v.glText=new Array(b),d=0;d<b;d++)v.glText[d]=new o(_);if(v.glText){if(b>v.glText.length){var w=b-v.glText.length;for(d=0;d<w;d++)v.glText.push(new 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Array(b);for(d=0;d<b;d++)j[d]=v.selectBatch[d].length||v.unselectBatch[d].length?v.markerUnselectedOptions[d]:{};v.scatter2d.update(j)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&f(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var U={viewport:p(m,y,x),range:[(y._rl||y.range)[0],(x._rl||x.range)[0],(y._rl||y.range)[1],(x._rl||x.range)[1]]},V=s.repeat(U,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach((function(t){t.update(U)}))}else v.init()}}},{\"../../components/dragelement/helpers\":633,\"../../lib\":749,\"../../lib/prepare_regl\":762,\"../scatter/link_traces\":1172,\"../scatter/subtypes\":1181,\"./edit_style\":1213,\"gl-text\":326,\"regl-error2d\":508,\"regl-line2d\":509,\"regl-scatter2d\":510}],1219:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,a={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},i={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,i,a)},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 a=0;a<r.count;a++)r.glText[a].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,a=r.error2d,i=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),i&&r.lineOptions[h]&&i.draw(h),a&&(r.errorXOptions[h]&&a.draw(h),r.errorYOptions[h]&&a.draw(h+t)),o&&r.markerOptions[h])if(u[h].length){var f=n.repeat([],r.count);f[h]=u[h],o.draw(f)}else 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i;var p=n.hasText(o),d=n.hasMarkers(o),g=!d&&!p;if(!0!==o.visible||g)return i;var m=[],v=[];if(!1!==e&&!e.degenerate)for(var y=0;y<l;y++)e.contains([s.xpx[y],s.ypx[y]],!1,y,t)?(m.push(y),i.push({pointNumber:y,x:c[y],y:u[y]})):v.push(y);if(d){var x=h.scatter2d;if(m.length||v.length){if(!h.selectBatch[f].length&&!h.unselectBatch[f].length){var b=new Array(h.count);b[f]=h.markerUnselectedOptions[f],x.update.apply(x,b)}}else{var _=new Array(h.count);_[f]=h.markerOptions[f],x.update.apply(x,_)}}return h.selectBatch[f]=m,h.unselectBatch[f]=v,p&&a(r),i}},{\"../scatter/subtypes\":1181,\"./edit_style\":1213}],1221:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,h=t(\"../../plot_api/edit_types\").overrideAll,f=i.line,p=i.marker;e.exports=h({lon:i.lon,lat:i.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:a({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:f.color,width:f.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:i.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:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/mapbox/layout_attributes\":857,\"../../plots/template_attributes\":876,\"../scatter/attributes\":1156,\"../scattergeo/attributes\":1198}],1222:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"../../constants/numerical\").BADNUM,o=t(\"../../lib/geojson_utils\"),s=t(\"../../components/colorscale\"),l=t(\"../../components/drawing\"),c=t(\"../scatter/make_bubble_size_func\"),u=t(\"../scatter/subtypes\"),h=t(\"../../plots/mapbox/convert_text_opts\"),f=t(\"../../components/fx/helpers\").appendArrayPointValue,p=t(\"../../lib/svg_text_utils\").NEWLINES,d=t(\"../../lib/svg_text_utils\").BR_TAG_ALL;function g(){return{geojson:o.makeBlank(),layout:{visibility:\"none\"},paint:{}}}function m(t,e){return a.isArrayOrTypedArray(t)?e?function(e){return n(t[e])?+t[e]:0}:function(e){return t[e]}:t?function(){return t}:v}function v(){return\"\"}function y(t){return t[0]===i}e.exports=function(t,e){var r,i=e[0].trace,x=!0===i.visible&&0!==i._length,b=\"none\"!==i.fill,_=u.hasLines(i),w=u.hasMarkers(i),T=u.hasText(i),k=w&&\"circle\"===i.marker.symbol,M=w&&\"circle\"!==i.marker.symbol,A=g(),S=g(),E=g(),C=g(),L={fill:A,line:S,circle:E,symbol:C};if(!x)return L;if((b||_)&&(r=o.calcTraceToLineCoords(e)),b&&(A.geojson=o.makePolygon(r),A.layout.visibility=\"visible\",a.extendFlat(A.paint,{\"fill-color\":i.fillcolor})),_&&(S.geojson=o.makeLine(r),S.layout.visibility=\"visible\",a.extendFlat(S.paint,{\"line-width\":i.line.width,\"line-color\":i.line.color,\"line-opacity\":i.opacity})),k){var P=function(t){var e,r,i,o,u=t[0].trace,h=u.marker,f=u.selectedpoints,p=a.isArrayOrTypedArray(h.color),d=a.isArrayOrTypedArray(h.size),g=a.isArrayOrTypedArray(h.opacity);function m(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(h):a.identity);d&&(i=c(u));g&&(o=function(t){return m(n(t)?+a.constrain(t,0,1):0)});var v,x=[];for(e=0;e<t.length;e++){var b=t[e],_=b.lonlat;if(!y(_)){var w={};r&&(w.mcc=b.mcc=r(b.mc)),i&&(w.mrc=b.mrc=i(b.ms)),o&&(w.mo=o(b.mo)),f&&(w.selected=b.selected||0),x.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:_},properties:w})}}if(f)for(v=l.makeSelectedPointStyleFns(u),e=0;e<x.length;e++){var T=x[e].properties;v.selectedOpacityFn&&(T.mo=m(v.selectedOpacityFn(T))),v.selectedColorFn&&(T.mcc=v.selectedColorFn(T)),v.selectedSizeFn&&(T.mrc=v.selectedSizeFn(T))}return{geojson:{type:\"FeatureCollection\",features:x},mcc:p||v&&v.selectedColorFn?{type:\"identity\",property:\"mcc\"}:h.color,mrc:d||v&&v.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(k=h.size,k/2),mo:g||v&&v.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:m(h.opacity)};var k}(e);E.geojson=P.geojson,E.layout.visibility=\"visible\",a.extendFlat(E.paint,{\"circle-color\":P.mcc,\"circle-radius\":P.mrc,\"circle-opacity\":P.mo})}if((M||T)&&(C.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,i=n.marker||{},o=i.symbol,s=i.angle,l=\"circle\"!==o?m(o):v,c=\"auto\"!==s?m(s,!0):v,h=u.hasText(n)?m(n.text):v,g=[],x=0;x<t.length;x++){var b=t[x];if(!y(b.lonlat)){var _,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[x]||\"\":w,k=n._module.formatLabels(b,n,r),M={};f(M,n,b.i);var A=n._meta||{};_=a.texttemplateString(T,k,r._d3locale,M,b,A)}else _=h(x);_&&(_=_.replace(p,\"\").replace(d,\"\\n\")),g.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:b.lonlat},properties:{symbol:l(x),angle:c(x),text:_}})}}return{type:\"FeatureCollection\",features:g}}(e,t),a.extendFlat(C.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),M&&(a.extendFlat(C.layout,{\"icon-size\":i.marker.size/10}),\"angle\"in i.marker&&\"auto\"!==i.marker.angle&&a.extendFlat(C.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),C.layout[\"icon-allow-overlap\"]=i.marker.allowoverlap,a.extendFlat(C.paint,{\"icon-opacity\":i.opacity*i.marker.opacity,\"icon-color\":i.marker.color})),T)){var I=(i.marker||{}).size,z=h(i.textposition,I);a.extendFlat(C.layout,{\"text-size\":i.textfont.size,\"text-anchor\":z.anchor,\"text-offset\":z.offset}),a.extendFlat(C.paint,{\"text-color\":i.textfont.color,\"text-opacity\":i.opacity})}return L}},{\"../../components/colorscale\":627,\"../../components/drawing\":637,\"../../components/fx/helpers\":651,\"../../constants/numerical\":724,\"../../lib\":749,\"../../lib/geojson_utils\":743,\"../../lib/svg_text_utils\":773,\"../../plots/mapbox/convert_text_opts\":854,\"../scatter/make_bubble_size_func\":1173,\"../scatter/subtypes\":1181,\"fast-isnumeric\":241}],1223:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),i=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function h(r,a){return n.coerce(t,e,c,r,a)}if(function(t,e,r){var n=r(\"lon\")||[],a=r(\"lat\")||[],i=Math.min(n.length,a.length);return e._length=i,i}(0,e,h)){if(h(\"text\"),h(\"texttemplate\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),h(\"below\"),a.hasLines(e)&&(o(t,e,r,u,h,{noDash:!0}),h(\"connectgaps\")),a.hasMarkers(e)){i(t,e,r,u,h,{noLine:!0}),h(\"marker.allowoverlap\"),h(\"marker.angle\");var f=e.marker;\"circle\"!==f.symbol&&(n.isArrayOrTypedArray(f.size)&&(f.size=f.size[0]),n.isArrayOrTypedArray(f.color)&&(f.color=f.color[0]))}a.hasText(e)&&s(t,e,u,h,{noSelect:!0}),h(\"fill\"),\"none\"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)}else 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i=e.children,o=i.indexOf(t),s=i.length,l=n.interpolate(r.x0,r.x1);a.x0=l(o/s),a.x1=l(o/s)}else a.x0=a.x1=0;return a}g&&(W=W.transition().each(\"end\",(function(){var e=n.select(this);y.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),W.each((function(a){var l=n.select(this),u=o.ensureSingle(l,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",\"all\")}));a.rpx0=j(a.y0),a.rpx1=j(a.y1),a.xmid=(a.x0+a.x1)/2,a.pxmid=U(a.rpx1,a.xmid),a.midangle=-(a.xmid-Math.PI/2),a.startangle=-(a.x0-Math.PI/2),a.stopangle=-(a.x1-Math.PI/2),a.halfangle=.5*Math.min(o.angleDelta(a.x0,a.x1)||Math.PI,Math.PI),a.ring=1-a.rpx0/a.rpx1,a.rInscribed=function(t){return 0===t.rpx0&&o.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(a),g?u.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=O[y.getPtId(t)],a={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(z)if(t.parent)if(G){var i=t.x1>G?2*Math.PI:0;e={x0:i,x1:i}}else e={rpx0:L,rpx1:L},o.extendFlat(e,Z(t));else e={rpx0:0,rpx1:0};else e={x0:0,x1:0};return n.interpolate(e,a)}(t);return function(t){return V(e(t))}})):u.attr(\"d\",V),l.call(m,k,t,e,{eventDataKeys:v.eventDataKeys,transitionTime:v.CLICK_TRANSITION_TIME,transitionEasing:v.CLICK_TRANSITION_EASING}).call(y.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),u.call(d,a,w);var x=o.ensureSingle(l,\"g\",\"slicetext\"),b=o.ensureSingle(x,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=o.ensureUniformFontSize(t,y.determineTextFont(w,a,h.font));b.text(r.formatSliceLabel(a,k,w,e,h)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(i.font,T).call(s.convertToTspans,t);var M=i.bBox(b.node());a.transform=p(M,a,_),a.transform.targetX=q(a),a.transform.targetY=H(a);var A=function(t,e){var r=t.transform;return f(r,e),r.fontSize=T.size,c(w.type,r,h),o.getTextTransform(r)};g?b.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=O[y.getPtId(t)],a=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:a.textPosAngle,scale:0,rotate:a.rotate,rCenter:a.rCenter,x:a.x,y:a.y}},z)if(t.parent)if(G){var i=t.x1>G?2*Math.PI:0;e.x0=e.x1=i}else o.extendFlat(e,Z(t));else e.x0=e.x1=0;else e.x0=e.x1=0;var s=n.interpolate(e.transform.textPosAngle,t.transform.textPosAngle),l=n.interpolate(e.rpx1,t.rpx1),u=n.interpolate(e.x0,t.x0),f=n.interpolate(e.x1,t.x1),p=n.interpolate(e.transform.scale,a.scale),d=n.interpolate(e.transform.rotate,a.rotate),g=0===a.rCenter?3:0===e.transform.rCenter?1/3:1,m=n.interpolate(e.transform.rCenter,a.rCenter);return function(t){var e=l(t),r=u(t),n=f(t),i=function(t){return m(Math.pow(t,g))}(t),o={pxmid:U(e,(r+n)/2),rpx1:e,transform:{textPosAngle:s(t),rCenter:i,x:a.x,y:a.y}};return c(w.type,a,h),{transform:{targetX:q(o),targetY:H(o),scale:p(t),rotate:d(t),rCenter:i}}}}(t);return function(t){return A(e(t),M)}})):b.attr(\"transform\",A(a,M))}))}function b(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}r.plot=function(t,e,r,a){var i,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,h=!s.uniformtext.mode&&y.hasTransition(r);(u(\"sunburst\",s),(i=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\"),i.order(),h)?(a&&(o=a()),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){x(t,e,this,r)}))}))):(i.each((function(e){x(t,e,this,r)})),s.uniformtext.mode&&g(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\"));c&&i.exit().remove()},r.formatSliceLabel=function(t,e,r,n,a){var i=r.texttemplate,s=r.textinfo;if(!(i||s&&\"none\"!==s))return\"\";var l=a.separators,c=n[0],u=t.data.data,h=c.hierarchy,f=y.isHierarchyRoot(t),p=y.getParent(h,t),d=y.getValue(t);if(!i){var g,m=s.split(\"+\"),v=function(t){return-1!==m.indexOf(t)},x=[];if(v(\"label\")&&u.label&&x.push(u.label),u.hasOwnProperty(\"v\")&&v(\"value\")&&x.push(y.formatValue(u.v,l)),!f){v(\"current path\")&&x.push(y.getPath(t.data));var b=0;v(\"percent parent\")&&b++,v(\"percent entry\")&&b++,v(\"percent root\")&&b++;var _=b>1;if(b){var w,T=function(t){g=y.formatPercent(w,l),_&&(g+=\" of \"+t),x.push(g)};v(\"percent parent\")&&!f&&(w=d/y.getValue(p),T(\"parent\")),v(\"percent entry\")&&(w=d/y.getValue(e),T(\"entry\")),v(\"percent root\")&&(w=d/y.getValue(h),T(\"root\"))}}return v(\"text\")&&(g=o.castOption(r,u.i,\"text\"),o.isValidTextValue(g)&&x.push(g)),x.join(\"<br>\")}var k=o.castOption(r,u.i,\"texttemplate\");if(!k)return\"\";var M={};u.label&&(M.label=u.label),u.hasOwnProperty(\"v\")&&(M.value=u.v,M.valueLabel=y.formatValue(u.v,l)),M.currentPath=y.getPath(t.data),f||(M.percentParent=d/y.getValue(p),M.percentParentLabel=y.formatPercent(M.percentParent,l),M.parent=y.getPtLabel(p)),M.percentEntry=d/y.getValue(e),M.percentEntryLabel=y.formatPercent(M.percentEntry,l),M.entry=y.getPtLabel(e),M.percentRoot=d/y.getValue(h),M.percentRootLabel=y.formatPercent(M.percentRoot,l),M.root=y.getPtLabel(h),u.hasOwnProperty(\"color\")&&(M.color=u.color);var A=o.castOption(r,u.i,\"text\");return(o.isValidTextValue(A)||\"\"===A)&&(M.text=A),M.customdata=o.castOption(r,u.i,\"customdata\"),o.texttemplateString(k,M,a._d3locale,M,r._meta||{})}},{\"../../components/drawing\":637,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../bar/style\":905,\"../bar/uniform_text\":907,\"../pie/plot\":1139,\"./constants\":1271,\"./fx\":1273,\"./helpers\":1274,\"./style\":1279,d3:169,\"d3-hierarchy\":161}],1279:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../components/color\"),i=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=i.castOption(r,s,\"marker.line.color\")||a.defaultLine,c=i.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(a.fill,n.color).call(a.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\"../../components/color\":615,\"../../lib\":749,\"../bar/uniform_text\":907,d3:169}],1280:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),a=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var u=e.exports=l(s({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:i(),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},a(\"\",{colorAttr:\"z or 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0},{\"../../components/color\":615,\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/template_attributes\":876}],1281:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":623}],1282:[function(t,e,r){\"use strict\";var n=t(\"gl-surface3d\"),a=t(\"ndarray\"),i=t(\"ndarray-linear-interpolate\").d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),h=t(\"../../components/colorscale\").extractOpts;function f(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=f.prototype;p.getXat=function(t,e,r,n){var a=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?a:n.d2l(a,0,r)},p.getYat=function(t,e,r,n){var a=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?a:n.d2l(a,0,r)},p.getZat=function(t,e,r,n){var a=this.data.z[e][t];return null===a&&this.data.connectgaps&&this.data._interpolatedZ&&(a=this.data._interpolatedZ[e][t]),void 0===r?a:n.d2l(a,0,r)},p.handlePick=function(t){if(t.object===this.surface){var 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M=[!0,!0,!0],A=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[A[e]];M[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]=y[e],p.highlightColor[e]=w.contourColor[e]=u(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]=u(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=M,p.enableHighlight=M,p.snapToData=!0,\"lighting\"in 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n=t(\"../../components/annotations/attributes\"),a=t(\"../../lib/extend\").extendFlat,i=t(\"../../plot_api/edit_types\").overrideAll,o=t(\"../../plots/font_attributes\"),s=t(\"../../plots/domain\").attributes;t(\"../../constants/docs\").FORMAT_LINK;(e.exports=i({domain:s({name:\"table\",trace:!0}),columnwidth:{valType:\"number\",arrayOk:!0,dflt:null},columnorder:{valType:\"data_array\"},header:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[]},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:28},align:a({},n.align,{arrayOk:!0}),line:{width:{valType:\"number\",arrayOk:!0,dflt:1},color:{valType:\"color\",arrayOk:!0,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:!0,dflt:\"white\"}},font:a({},o({arrayOk:!0}))},cells:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[]},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:20},align:a({},n.align,{arrayOk:!0}),line:{width:{valType:\"number\",arrayOk:!0,dflt:1},color:{valType:\"color\",arrayOk:!0,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:!0,dflt:\"white\"}},font:a({},o({arrayOk:!0}))}},\"calc\",\"from-root\")).transforms=void 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i.indexOf(t)})),s=o.length;s<n;s++)o.push(s);e(\"columnorder\",o)}(e,s),s(\"cells.values\"),s(\"cells.format\"),s(\"cells.align\"),s(\"cells.prefix\"),s(\"cells.suffix\"),s(\"cells.height\"),s(\"cells.line.width\"),s(\"cells.line.color\"),s(\"cells.fill.color\"),n.coerceFont(s,\"cells.font\",n.extendFlat({},o.font)),e._length=null}},{\"../../lib\":749,\"../../plots/domain\":825,\"./attributes\":1285}],1292:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),moduleType:\"trace\",name:\"table\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":1285,\"./base_plot\":1286,\"./calc\":1287,\"./defaults\":1291,\"./plot\":1293}],1293:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"../../lib/gup\"),o=t(\"../../components/drawing\"),s=t(\"../../lib/svg_text_utils\"),l=t(\"../../lib\").raiseToTop,c=t(\"../../lib\").cancelTransition,u=t(\"./data_preparation_helper\"),h=t(\"./data_split_helpers\"),f=t(\"../../components/color\");function p(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function d(t,e){return\"clip\"+t._fullLayout._uid+\"_scrollAreaBottomClip_\"+e.key}function g(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function m(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function v(t,e,r){var o=t.selectAll(\".\"+n.cn.scrollbarKit).data(i.repeat,i.keyFun);o.enter().append(\"g\").classed(n.cn.scrollbarKit,!0).style(\"shape-rendering\",\"geometricPrecision\"),o.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return z(e,e.length-1)+(e.length?O(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-M(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr(\"transform\",(function(t){return\"translate(\"+(t.width+n.scrollbarWidth/2+n.scrollbarOffset)+\" \"+M(t)+\")\"}));var s=o.selectAll(\".\"+n.cn.scrollbar).data(i.repeat,i.keyFun);s.enter().append(\"g\").classed(n.cn.scrollbar,!0);var l=s.selectAll(\".\"+n.cn.scrollbarSlider).data(i.repeat,i.keyFun);l.enter().append(\"g\").classed(n.cn.scrollbarSlider,!0),l.attr(\"transform\",(function(t){return\"translate(0 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n=a.event.y,i=this.getBoundingClientRect(),o=r.scrollbarState,s=n-i.top,l=a.scale.linear().domain([0,o.scrollableAreaHeight]).range([0,o.totalHeight]).clamp(!0);o.topY<=s&&s<=o.bottomY||S(e,t,null,l(s-o.barLength/2))(r)})).call(a.behavior.drag().origin((function(t){return a.event.stopPropagation(),t.scrollbarState.scrollbarScrollInProgress=!0,t})).on(\"drag\",S(e,t)).on(\"dragend\",(function(){}))),u.attr(\"y2\",(function(t){return t.scrollbarState.scrollableAreaHeight})),e._context.staticPlot&&(c.remove(),u.remove())}function y(t,e,r,s){var l=function(t){var e=t.selectAll(\".\"+n.cn.columnCell).data(h.splitToCells,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.columnCell,!0),e.exit().remove(),e}(function(t){var e=t.selectAll(\".\"+n.cn.columnCells).data(i.repeat,i.keyFun);return e.enter().append(\"g\").classed(n.cn.columnCells,!0),e.exit().remove(),e}(r));!function(t){t.each((function(t,e){var 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h,f,p=u?\"\":_(t.calcdata.cells.prefix,e,r)||\"\",d=u?\"\":_(t.calcdata.cells.suffix,e,r)||\"\",g=u?null:_(t.calcdata.cells.format,e,r)||null,m=p+(g?a.format(g)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!u&&(h=b(m)),t.cellHeightMayIncrease=s||u||t.mayHaveMarkup||(void 0===h?b(m):h),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var v=(\" \"===n.wrapSplitCharacter?m.replace(/<a href=/gi,\"<a_href=\"):m).split(n.wrapSplitCharacter),y=\" \"===n.wrapSplitCharacter?v.map((function(t){return t.replace(/<a_href=/gi,\"<a href=\")})):v;t.fragments=y.map((function(t){return{text:t,width:null}})),t.fragments.push({fragment:n.wrapSpacer,width:null}),f=y.join(n.lineBreaker)+n.lineBreaker+n.wrapSpacer}else delete t.fragments,f=m;return f})).attr(\"dy\",(function(t){return t.needsConvertToTspans?0:\"0.75em\"})).each((function(t){var 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d=a.ensureSingle(f,\"g\",\"slicetext\"),T=a.ensureSingle(d,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),E=a.ensureUniformFontSize(t,u.determineTextFont(C,s,S.font,{onPathbar:!0}));T.text(s._text||\" \").classed(\"slicetext\",!0).attr(\"text-anchor\",\"start\").call(i.font,E).call(o.convertToTspans,t),s.textBB=i.bBox(T.node()),s.transform=b(s,{fontSize:E.size,onPathbar:!0}),s.transform.fontSize=E.size,w?T.transition().attrTween(\"transform\",(function(t){var e=M(t,!0,A,[g,m]);return function(t){return _(e(t))}})):T.attr(\"transform\",_(s))}))}},{\"../../components/drawing\":637,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../sunburst/fx\":1273,\"../sunburst/helpers\":1274,\"./constants\":1297,\"./partition\":1304,\"./style\":1306,d3:169}],1300:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../lib\"),i=t(\"../../components/drawing\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"./partition\"),l=t(\"./style\").styleOne,c=t(\"./constants\"),u=t(\"../sunburst/helpers\"),h=t(\"../sunburst/fx\"),f=t(\"../sunburst/plot\").formatSliceLabel;e.exports=function(t,e,r,p,d){var g=d.width,m=d.height,v=d.viewX,y=d.viewY,x=d.pathSlice,b=d.toMoveInsideSlice,_=d.strTransform,w=d.hasTransition,T=d.handleSlicesExit,k=d.makeUpdateSliceInterpolator,M=d.makeUpdateTextInterpolator,A=d.prevEntry,S=t._fullLayout,E=e[0].trace,C=-1!==E.textposition.indexOf(\"left\"),L=-1!==E.textposition.indexOf(\"right\"),P=-1!==E.textposition.indexOf(\"bottom\"),I=!P&&!E.marker.pad.t||P&&!E.marker.pad.b,z=s(r,[g,m],{packing:E.tiling.packing,squarifyratio:E.tiling.squarifyratio,flipX:E.tiling.flip.indexOf(\"x\")>-1,flipY:E.tiling.flip.indexOf(\"y\")>-1,pad:{inner:E.tiling.pad,top:E.marker.pad.t,left:E.marker.pad.l,right:E.marker.pad.r,bottom:E.marker.pad.b}}).descendants(),O=1/0,D=-1/0;z.forEach((function(t){var e=t.depth;e>=E._maxDepth?(t.x0=t.x1=(t.x0+t.x1)/2,t.y0=t.y1=(t.y0+t.y1)/2):(O=Math.min(O,e),D=Math.max(D,e))})),p=p.data(z,u.getPtId),E._maxVisibleLayers=isFinite(D)?D-O+1:0,p.enter().append(\"g\").classed(\"slice\",!0),T(p,!1,{},[g,m],x),p.order();var R=null;if(w&&A){var 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+       "                            \n",
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+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_timeseries(file_np, seconds_to_plot=seconds_to_plot, start=start, fs=fs, regions=regions, step=step)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#REVIEW Idea: maybe it would be nice to include some explanation of what you dont want to see. \n",
+    "#Like a list of things to watch out for."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "##### Nice! Now let's also plot a couple seconds of the timeseries in the occipital regions only - since that is where we would expect to see an alpha rhythm more clearly."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#REVIEW Idea: I dont know what the expected level of the people is that are using the notebook, but maybe include  what a good alpha rythm should look like? \n",
+    "#That would be handy for complete beginners. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fs = 1250 # sample size; so this is the amount of samples per second\n",
+    "seconds_to_plot = 3 # indicate how many seconds of data you want to plot\n",
+    "start = 0 # start-time of plot in seconds; indicate where you want plot to start (default = 0 for first stp s)\n",
+    "regions = np.arange(188, 210) # number or range of regions you wish to use\n",
+    "step = 1 # set step size, every nth channel is plotted; default is 10, e.g. 1 would be every channel"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/mnt/software/anaconda3/lib/python3.8/site-packages/plotly/graph_objs/_deprecations.py:572: DeprecationWarning:\n",
+      "\n",
+      "plotly.graph_objs.YAxis is deprecated.\n",
+      "Please replace it with one of the following more specific types\n",
+      "  - plotly.graph_objs.layout.YAxis\n",
+      "  - plotly.graph_objs.layout.scene.YAxis\n",
+      "\n",
+      "\n",
+      "/mnt/software/anaconda3/lib/python3.8/site-packages/plotly/graph_objs/_deprecations.py:62: DeprecationWarning:\n",
+      "\n",
+      "plotly.graph_objs.Annotations is deprecated.\n",
+      "Please replace it with a list or tuple of instances of the following types\n",
+      "  - plotly.graph_objs.layout.Annotation\n",
+      "  - plotly.graph_objs.layout.scene.Annotation\n",
+      "\n",
+      "\n",
+      "/mnt/software/anaconda3/lib/python3.8/site-packages/plotly/graph_objs/_deprecations.py:31: DeprecationWarning:\n",
+      "\n",
+      "plotly.graph_objs.Data is deprecated.\n",
+      "Please replace it with a list or tuple of instances of the following types\n",
+      "  - plotly.graph_objs.Scatter\n",
+      "  - plotly.graph_objs.Bar\n",
+      "  - plotly.graph_objs.Area\n",
+      "  - plotly.graph_objs.Histogram\n",
+      "  - etc.\n",
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+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_timeseries(file_np, seconds_to_plot=seconds_to_plot, start=start, fs=fs, regions=regions, step=step)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a id='power-spectrum'></a>\n",
+    "### **b.** The power spectrum\n",
+    "Now we'll calculate and plot the power spectrum. Also, to ensure a dominant alpha rhythm is present occipitally, we will look at occipital versus non-occipital power spectra."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# First we define a function to calculate and plot the power spectrum -- this is taken from Tianne's scripts\n",
+    "# and slightly modified\n",
+    "### --- don't know if this is the best way to do it, maybe import from somewhere else?\n",
+    "### !NOTE! added option to save powerspectrum; if set to True it returns f and pxx, otherwise it doesn't\n",
+    "def cal_power_spectrum (timeseries, nr_rois=np.arange(210), fs=1250, \n",
+    "            window='hamming', nperseg=4096, scaling='spectrum', \n",
+    "            plot_figure=False, title_plot='average power spectrum', save_powspec=True):\n",
+    "\n",
+    "    \"\"\" Calculate (and plot) power spectrum of timeseries\n",
+    "    \n",
+    "    Parameters\n",
+    "    ----------\n",
+    "    timeseries: DataFrame with ndarrays\n",
+    "        Rows are timepoints, columns are rois/electrodes\n",
+    "    nr_rois: int, optional\n",
+    "        Give list with rois/electrodes you want to include, \n",
+    "        default=np.arange(210)\n",
+    "    fs: int, optional    \n",
+    "        Sample frequency, default=1250    \n",
+    "    window: str or tuple, optional\n",
+    "        Type of window you want to use, check spectral.py for details, \n",
+    "        default='hamming'\n",
+    "    nperseg : int, optional    \n",
+    "        Length of each segment, default=4096\n",
+    "    scaling : str, optional\n",
+    "        'density' calculates the power spectral density (V**2/Hz), 'spectrum' \n",
+    "        calculates the power spectrum (V**2), default='spectrum'\n",
+    "    plot_figure: bool, optional\n",
+    "        Creates a figure of the mean + std over all rois/electrodes, \n",
+    "        default=False\n",
+    "    title_plot: str, optional\n",
+    "        Give title of the plot, default='average power spectrum'\n",
+    "    save_powspec: bool, optional\n",
+    "        If False, f and pxx are not returned (if only plot is required),\n",
+    "        default=True\n",
+    "        \n",
+    "    Returns\n",
+    "    -------\n",
+    "    f: ndarray\n",
+    "        Array with sample frequencies (x-asix of power spectrum plot)\n",
+    "    pxx: ndarray\n",
+    "        Columns of power spectra for each roi/VE\n",
+    "            \n",
+    "    \"\"\"\n",
+    "  \n",
+    "    pxx = np.empty([int(nperseg/2+1), np.size(nr_rois)])\n",
+    "    \n",
+    "    i=0\n",
+    "    for roi in nr_rois:\n",
+    "        (f, pxx[:,i]) = signal.welch(timeseries[roi].values, fs, window, \n",
+    "                                     nperseg, scaling=scaling)\n",
+    "        i=i+1\n",
+    "    if plot_figure==True:\n",
+    "        plt.figure(figsize=(20, 10))\n",
+    "        plt.plot(f, np.mean(pxx,1), color='teal', linewidth=3)\n",
+    "        #plt.plot(f, np.mean(pxx,1)+np.std(pxx,1), color='teal', linewidth=0.7)\n",
+    "        #plt.plot(f, np.mean(pxx,1)-np.std(pxx,1), color='teal', linewidth=0.7)\n",
+    "        #plt.fill_between(f, np.mean(pxx,1)+np.std(pxx,1), np.mean(pxx,1)\n",
+    "        #                 -np.std(pxx,1), color='teal', alpha=0.2)\n",
+    "        plt.xlim(0, 50)\n",
+    "        plt.xlabel('Frequency (Hz)')\n",
+    "        plt.title(title_plot, size=15, weight='bold')\n",
+    "        plt.show()\n",
+    "        \n",
+    "    if save_powspec==True:\n",
+    "        return f, pxx"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "##### We'll first look at the full powerspectrum..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
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+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Calculate and plot, for a single epoch of one subject, the full powerspectrum...\n",
+    "cal_power_spectrum(file, fs=fs, plot_figure=True, title_plot='power spectrum FULL', save_powspec=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "##### ...but it's much more interesting to look at the powerspectrum of occipital vs non-occipital regions. \n",
+    "alpha, yada yada"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Specify which regions are occipital and which are non-occipital, and then we'll calculate powerspectrum for both."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "occ_rois = np.arange(188,210) # Change this variable according to the atlas you used\n",
+    "nonocc_rois = np.arange(188) # Change this variable according to the atlas you used\n",
+    "\n",
+    "f_occ, pxx_occ = cal_power_spectrum(file, fs=fs, nr_rois=occ_rois)\n",
+    "f_nonocc, pxx_nonocc = cal_power_spectrum(file, fs=fs, nr_rois=nonocc_rois)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "##### And now we can make the plot. If all is well, the red powerspectrum should show a much higher peak around 8-12Hz (the alpha band) in the occipital compared to the non-occipital plots!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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v3br33rv00kvT5Xa7NXfuHC1c+IW6d++hKVPuV3p6eq1rU1JSNGHCmaqoqDCfa+x1jTF+/Ol69tmntGnTBu3atUtt27Zt0v1qKijI17x5n6h795665JLL9e67szRnzru6/PJrlJqa2qyvlYz2yKHXt976d/Xq1Um33vr3eC8FAAAAABAF99o1yh1xlNJefy3hwyJJ8mzcoLTXX1PuiKPkXrumUfeYPXumgsGgjjrqWO21V91tVGPGnKwOHfK0bt1aLVnyrSTp7bffkCRNnHhOxNDHKiUlxTxu7HWNYRiGeexyuZp0r0jefXeWKioqdOKJY+T1enXccaO0e3ehPv54brO/VjLa4wKjLVs267HHpioQCOippx5TIBCI95IAAAAAAA3IeOBeebZuifcyYubZslkZD/6nUdd+//0SSdJBBw2p9zyv16vBgw80rwkEAvrhh6VRXWvV2Osaa8aM6ZKkrl27KTc3t9nvP2vWW3K73Ro1arQkafTosZLCoRiaZo9rSfvggznmcSAQUGlpibKysuO4IgAAAABAQ1Lmvh/vJTRaiuVzaCx27NguSerYsVOD51afs337du3eXSi/3y9J9e6eVlNjr4vG5s2b9MwzT0iqHHr944/L9N13i+V2u3Xlldc162tJ0pIl32rNmtUaMuRQ8++mb9/fae+999H33y/RmjWr1bt3n2Z/3WSyxwVGc+bMtj0uKSEwAgAAAAAknuqWrWjataznWlu9GvN6LWHz5k169tmnJEkej0e5uW119NHHauLEczRgwP7N/nozZ1ZWEZ144ljb8yeeOEYrVvysmTPf0NVX/7nZXzeZ7FEtaSUlJfr0049tzxUXF8dpNQAAAACAaFWMOD7eS2i0iuNGNuq69u07SKocrdKQbdu2Vl3TXtnZOeYmT9u3b4v69Rp7XTQGDTpA8+cv0vz5i/Tpp1/prbfe07/+dU+LhEWFhYX6+OOPlJmZpSOPPMb2teOOGyWfz6f33nunyUO7k90eFRjNm/epysrKbM+VlJTEaTUAAAAAgGiVXPcXBRu521g8BTt1Vsm1NzTq2oEDB0mSFi1aWP9rBINavPgb8xqv16t99x0Q1bVWjb0u0VSGQeUqKtqt4cOH6ogjDjL/jB49Qn6/XwUFBfrkk4/ivVRH26MCo5rtaBKBEQAAAAA4QahXb+XP/Uxlp05QsGu3eC+nQcGu3VR26gTlz/1MoV69G3WPE04YI4/Ho88++1irVv1a53nvvPO2tm/fpp49e2nQoAMkSSeddIok6dVXX6pVOFGTtdKmsdclkup2tBEjRmrMmHG1/hxzzHDbeWicPWaGUSgU0pw579Z6vqS4KA6rAQAAAADEKtSps3Y/9nS8l9FqunXrrnPPvUDPPfe0br75z5oy5X716dPXds5nn32iBx+8Vx6PRzfccLPc7sq6jxEjRuq992Zr4cIvdPPNf9akSberQ4cOtmv9fr/efvsNrV27Wn/+801Nui5RLF36nVavXqXevfvon//8V8RzQqGQJkwYp8WLv9G6dWvVs2evVl7lnmGPCYyWLPnW7Om0KiksiMNqAAAAAABo2IUXXqrS0lJNm/ayzj//TB1yyGHq3buvgsGAli79Xj/+uEypqam69dZ/6cADDzavc7vduuOOuzV58i2aN+9TTZgwTgcddLB69eojt9utzZs36ZtvvlZ+/i6deea5Tb4uUbz9dmXV0Jgx4+o8x+1268QTx+q//31SM2e+qSuvvNb29Zdeel7vvjsr4rWnnTZR/fvv03wLdrA9JjCK1I4mSWW7C1t5JQAAAAAARMftduvqq6/X8OHHacaM6fruu8VatOhreTxude7cRRMnnqMJE840t463yshoo7vu+o8WLvxSs2fP1A8/LNWiRV9LMtS+fZ4OOmiIRo0arUMPPbxZrou3oqIiffzxXPl8Po0aNabec0ePPknPPfe03n13li699Apz2LckLVz4RZ3XHXnkMQRGVVxGS+6rF6MdO4oUCjVuOUcffZh++ukHSVKepOp57/f9818654qrm2eBwB4oLy9L27btjvcygKTDew+IH95/QHzUfO9t3rxWnTvTKgQ0VjTvIbfbpfbtMxt1/z1i6PW6dWvNsCjV49FYy9dKivg/AwAAAAAAALHYIwKj998PD7s+plNndbR8rWQ3gREAAAAAAEAs9ojA6L33woHRmIwMtbF8jV3SAAAAAAAAYuP4wKiwsEBffDHffDy2rIzACAAAAAAAoAkcHxh9/PGH8vv9kqSBA/dXzy2bawRGxfFZGAAAAAAAgEM5PjB6773Z5vGooUfK5ffbA6OSktZfFAAAAAAAgIM5OjAKBAL68MP3zccn9v+DJNkCo9LS0lZeFQAAAAAAgLM5OjBauPBL5efnS5K6du2mQT6vJCnDck4JgREAAAAAAEBMHB0YWdvRjj9+lLzrf5NkrzAqKSMwAgAAAAAAiIVjAyPDMDRnTjgwGjnyBLl/WyepZmBU1sorAwAAAAAAcDbHBka//LJSq1evkiRlZLTR0KFHybOudmBUXF4eh9UBAAAAAAA4l2MDI2s72rHHDldaWprc6yNUGBEYAQAAAAAAxMSxgdEnn3xkHo8ceYIUCskTaYZRBYERAAAAAABALBwbGO3Ysd083nff/eTeukWuigpJNXZJ8/tlGEYrrw4AAAAAAMTTM888oSOOOEjffruoSff59ttFOuKIg/TMM08008oia671NhdvvBfQWMFgwDz2+VLkrppfJEm+qj9+SSHDUHl5udLS0lp9jQAAAAAA1OeIIw6SJHXq1FmvvPK6UlNTa51z2mljtXnzJn3yyZfyemt/jP/55x81Y8Z0LV78rXbs2C6v16vOnTvrkEMO14QJZyovr2Ota779dpGuueYySdKxx47Q5Ml31zpn06aNOv30kzRgwP567LFnmvqt7nGuuupSLVnyrebPT4yAp7k5tsLI7/ebx16vV57f1tq+bmtLKylupVUBAAAAABC7LVs267XXXo3pGsMw9OijD+nii8/TnDmz1atXL5122hkaM+Ykpaam6dVXX9SZZ47Xxx/Prfc+H388V8uWfd+U5SekU089Qy+//D/94Q/7Nek+f/jDfnr55f/p1FPPaKaVOYNjK4wCgaB5XBkYhSuMDK9XbQIB5Vc9LikpUbt27Vt3gQAAAAAARCErK1sul0svvfSsxo49Wbm5uVFd99xzT+uVV15Qly5dNWXK/erbdy/b1z/55EPdfvst+uc//66cnFwdcMBBte7RvXsPrV//mx555AE99th/m+PbSRi5ublR/13WJy0tTb169W7yfZzGwYGRvcLI/dtv5uNgr95q8+sv5uOSkpJWXRsAAAAAIHabN2/Sbbf9Q198sUAbN26I93Lq1bVrNx122FD98593qFOnzk26V1pams488xw99NB9evbZJ3X99f/X4DWbNm3Uc889La/Xq7vvvq9WWCRJxxwzXPn5u3TvvXfr3nvv0ksvTZfbbW80+sMf9lOfPn01b96n+uSTD3XMMcOb9L1U++23dXruuaf1zTdfKz9/l3JycnXQQUN0/vkXq0ePnrXODwaDmjnzDc2ZM1urVv0qvz+gvLw8DR58oM4++4+2a6I995lnntCzzz6lhx563BaWHXHEQRo06AD985//0mOPPaSvvvpSJSUl6t27jyZOPEfHHz/Ktrbq9r0LLrhEF130J7NVz3q/aoMGHaCHH37SvO6DD+Zo6dIl2rp1qwKBgLp166Zjjx2hs8/+Y8T2w0Ti4MDIOsPIZ2tJC/6uX43AiJY0AAAAAEhka9eu0ejRx2nr1i3xXkpUNm7coNdff03z53+mWbPeb3IFyvjxE/T666/prbdm6NRTz1DPnr3qPX/27JkKBoMaNuw47bXX7+o8b8yYk/Xcc89o3bq1WrLk24hVRpdffo0+/3y+Hn/8YR1xxNER5yTF4qefftB1112hkpISHXHEUerdu6/Wrl2jDz54T/Pnf6oHH3xM++zzB/N8v9+vG2+8VosWLVTHjp103HGjlJHRRps3b9Jnn32igQMHmSFQLOfWZ/fu3brssguVmZmlE08cq6Ki3froo7m6/fZJ2r59q84667w6r83MzNIFF1yid9+dpc2bN+mCCy4xv9alS1fz+KWXnte6dWu0334DddhhR6iiolxLl36n//73SS1e/I0eeOBReTyexvwVtwoHB0bhCiOPxyu3pSUt2Pd3NWYYUWEEAAAAAInsgQfudUxYZLVly2Y9+OB/dN99U5t0H6/Xq8suu0r/+MfNevzxh3XnnffUe/733y+RJB100JAG7zt48IH64IP39P33SyIGRj179tK4ceM1Y8Z0vfHG/3T66RMb/X0YhqE77rhVxcXFuuWWyTr++BPMr3344fu69da/6fbb/2Grdvrvf5/UokULNXTokZo8eYpSUlLMayoqKlRcHC4CieXc+vz660ode+wI3XbbneY6zjnnfF100bl68slHdfTRw9StW/eI12ZlZemii/6kxYu/0ebNm3TRRX+KeN4NN9ykrl27yeVy2Z5/6qnH9Pzzz+iTTz7U8OHHR7XeeHDs0GvrDCOfxy3PektL2u/62QKj0lICIwAAAABIZHPnvh/vJTTaBx/MaZb7HHvsCO2330B99tnH+u67JfWeu2PHdklSx46dGrxv9Tnbt2+v85wLLrhUbdq00XPPPaWioqLoF13D0qXfae3ayqoaa1gkScOHH6+BAwdp3bq1ZuAVDAb1xhvTlZqaqhtv/JstAJKklJQUtW3bNuZzG+LxeHT55VfbWvS6du2m0047Q4FAQHPmzI71W6+lW7futcIiSZow4UxJ0ldffdHk12hJDg6MwhVGvvxdcpWXS5JCbdsq1K49FUYAAAAAAMe56qrrJEkPP3y/DMOo87zqr0UKJBpzbtu2bXXOOeeroKBAL7zwTJ3nbdq0Uc8880StP9VWrPhZkiJWMknSgQceXHXeckmVrYhFRUXaa69+6tAhr97vI5ZzG9KxY2d17dqt1vODBx8oSVq5cnmT7i9JpaWleuGF/+rii8/TyJFH68gjD9YRRxyk0aNHSJK2b9/W5NdoSQ5uSQvPMErdtNE8DvboJaWmKMNybrQlaQAAAACA+Bgx4ni9/PIL8V5Goxx33Mhmu9d++w3UMccM1yeffKiPPvqgzpal9u07aO3aNdqyZXOD99y2bWvVNfXvHj5hwll6443/6X//m6bx4ydEPGfTpo169tmnaj1f3ZZVXZ3Uvn2HOtbdvuq83bZ/5uU1HADFcm5D2rVrV8f6OlS9VuOrrKTKzOKaay7TTz/9oL5999KwYccrNzfXnA/17LNPqaKiokmv0dIcW2Hk94crjFI3bTKPQz16ykhJpcIIAAAAABzkuuv+0uTdxuKhU6fOuvbaG5r1npdffrW8Xq8ef/wR22dfq4EDB0mSFi1aWO+9gsGgFi/+xnZNXVJTU3XJJZeroqJCTzzxSMRzDjjgIM2fv6jWn2qZmZmSpJ07d0S8fseOHbbzMjOzJEnbtjVcbRPLuQ3ZuXNnHevbbltfY82b94l++ukHnXDCGL3wwjTddNPf9ac/XamLLvqTxo07tUn3bi2ODIxCoZCtpM63Yb35tSCBEQAAAAA4Tq9evTV37mc69dQJEVuFEk3Xrt106qkTNHfuZ03eIa2mbt2665RTTtemTRv0v/9Ni3jOCSeMkcfj0WeffaxVq36t817vvPO2tm/fpp49e2nQoAMafO1Ro0Zr7737a+7cOfr55x9jXnu/fvtIkhlS1VT9/N57V57Xq1dvZWZm6ddfVzbYohXLuQ3ZunWzNlm6lWqur1+//g3eo3qHs2AwWOtr69dX5hRHHz2s1teWLIn8d5NoHBkYWRNWr9crz7rwDmmhHj2k1JQagREtaQAAAACQ6Dp16qzHHntaS5b8pK1bCxP6z5IlP+mxx55usaqoCy64WJmZWXrhhf9G3MipW7fuOvfcCxQIBHTzzX/W6tWrap3z2Wef6MEH75XH49ENN9xsG/BcF5fLpSuvvE6GYdRZZVSfgQP3V8+evfT990v08cdzbV/7+OO5WrLkW/Xo0dOsdvJ4PDrllNNUXl6ue+65s1ablt/v165du2I+tyHBYFCPPTZVoVDIfG7jxsqAzuPxaOTIExu8R3Z2jiRFbAvs0qWLpNrB2YYN6/XYY03bUa+1OHKGkXV+kc/nk+e3tebjYI9eVBgBAAAAABwtOztH5513gR599KE6z7nwwktVWlqqadNe1vnnn6lDDjlMvXv3VTAY0NKl3+vHH5cpNTVVt976L3PYdDQOPPBgHXbYUH3xxYKY1+1yufT3v9+m66+/Urfe+jd98MEc9erVW+vWrdG8eZ8qI6ONJk263RZeXXjhpfrxxx+0YME8nXnmeB1++JHKyMjQ1q1b9PXXX+qKK67ViSeOjfnc+uy1Vz/9+OMyXXTROTr44ENVXFykDz/8QEVFu3XFFdeoW7fuUf09ffzxXP397zfq0EOHKjU1VZ07d9GoUaM1dOhR6t69h6ZNe1mrVv2ifv36a8uWzfr88/k6/PChUc2eijeHBkbhCiOPxyv3b+EKo2CPnlKqPTCKlMYCAAAAAJDITjttot54438RW6ckye126+qrr9fw4cdpxozp+u67xVq06Gt5PG517txFEyeeowkTzlTHjp1ifu0rrrhWCxd+GbHdqiH77rufnn76eT3//DNatGihFiz4TLm5uRoxYqTOP/8i9ezZ23a+z+fTf/7zkN5663W99947eu+9WTIMQx065OnII4+1zV6K5dz6ZGVl6T//eUiPPvqQZs+eqZKSYvXu3UcTJ56r448fFdU9xo49WVu2bNbcue/rlVdeUDAY1KBBB2jUqNFKT0/Xgw8+pscff1iLF3+j775boq5du+n88y/SGWecrQ8//CDKv834cRn17dPXynbsKFIo1PBytm/frj/8oa+kysnm20tK5Corq/zaL7/JlZ+vtw8aoAurzj/jjLM0derjLbVswNHy8rK0bdvueC8DSDq894D44f0HxEfN997mzWvVuXOvOK4IyeqIIw7SoEEH6OGHn4z3UpokmveQ2+1S+/aNG+DtyBlGwWC4Jc3jcpthUSg3V0Z2jpSaqgzL+bSkAQAAAAAARM+RgZF16LXP5TKPgz0qkzUjhaHXAAAAAAAAjeXIwMg69Npr6agLde8hSQy9BgAAAAAAaAKHDr227JJmCYyCPXtWHqTWDIyoMAIAAAAAANL8+YvivQRHcHyFkc8ysT3Uoyow8nqVYWlVKykmMAIAAAAAAIiWIwMj2wwjywDs6hlGktQmJcU8LqUlDQAAAAAAIGqODIysu6R5LeFRsLrCSFJGSqp5zAwjAAAAAACA6DkyMLJWGKVUVJjHoR49zOM2qZbAqJTACAAAAAASjWGZSQsgeq3x3nFkYBS0zC2q3iUtlJ0jIyfXfD7VEhiVlZfbrgEAAAAAxJfb7eFzGtBIwWBQbrenRV/DkYGRbYZR1T9DlnY0SXKlpirD8riUKiMAAAAASBipqekqK2ODIqAxysqKlZqa3qKv4cjAyLpLmrfqn8EagZFSU9XG8rC4mMAIAAAAABJFmzbZKinZraKiAgUCAdrTgAYYhqFAIKCiogKVlOxWmzbZLfp63oZPSTyBQO0Ko2BPe2BkpFQGRtuqHpeUkFwDAAAAQKLwen1q166TiosLtXPnZoVCtKcBDXG7PUpNTVe7dp3k9foavqAJHBoYWWYYVf2zZkuaUlJsFUalpaUtvi4AAAAAQPS8Xp9yctrHexkAInBoS1qECqMevWznGDVa0qgwAgAAAAAAiI5DA6PwDKNwYFR/hVFJCTOMAAAAAAAAouHIwMi6S1q4Ja2H7Rwjxb5LGoERAAAAAABAdBwZGAWD4RlGPkmhrGwZObm2c2hJAwAAAAAAaBxHBkY1K4xCPXpKLpf9JFrSAAAAAAAAGsWRgVHNGUbBnj1rnUOFEQAAAAAAQOM4NDCyVxjVGngt1aowKi0tbfF1AQAAAAAA7AkcGhjVmGEUITAyUqgwAgAAAAAAaAyHBkY1Koy6R6gwqtWSxgwjAAAAAACAaDg0MLLPMAp17VrrHIOh1wAAAAAAAI3iyMCo5i5pRlp6rXOM1FRlWB4XF9OSBgAAAAAAEA1HBkbBoH2GkXy+2idRYQQAAAAAANAojgyMalUYeb21zqk99JrACAAAAAAAIBqODIxqzjBShMCo5tDr0lICIwAAAAAAgGg4NDCyVxhFaklj6DUAAAAAAEDjODQwss8wMrwRAqPUmi1pDL0GAAAAAACIhkMDo5oVRhFa0phhBAAAAAAA0CiODIysQ6/rrDBKSVGG5TGBEQAAAAAAQHQcGRhZh17XNcOo5tDrkpJiGYbR0ksDAAAAAABwPIcGRvYKo0i7pBkpKUpRVaAkKRgMqqKiojWWBwAAAAAA4GjODIz84Qojj8sluSN8G6mpkmSrMiotpS0NAAAAAACgIc4MjCrKzWOfxxPxHCOldmDEHCMAAAAAAICGOTMwsgy99ngi7JCmypY0icAIAAAAAAAgVo4PjHzeyBVGkVrSSkqKW3BVAAAAAAAAewbHB0beOiuMaEkDAAAAAABojMhpi8WuXbv0f//3f1q3bp1SUlLUq1cv3X777WrXrp3tvGAwqDvuuEPz5s2Ty+XSpZdeqtNPP71FFm0LjHx1fAuplS1pGZanqDACAAAAAABoWIMVRi6XSxdffLHmzJmjmTNnqkePHrr33ntrnTdz5kytW7dO77//vqZNm6apU6dq/fr1LbLoQCCKCqPUNEn2CqPiYiqMAAAAAAAAGtJgYJSbm6tDDjnEfDxo0CBt3Lix1nmzZ8/W6aefLrfbrXbt2mnEiBF67733mne1VWwVRt46KowiDL0uLSUwAgAAAAAAaEhMM4xCoZBeffVVDRs2rNbXNm3apK5du5qPu3Tpos2bNzd9hREEAkHzuM6WNJdLRkoKM4wAAAAAAABi1OAMI6vJkycrIyND55xzTosspn37zKjOCxnhwCg9NVV5eVmRT0xNVZuKCvOh2x2s+1wgifG+AOKD9x4QP7z/gPjgvQc4R9SB0ZQpU7R27Vo9/vjjcrtrFyZ16dJFGzdu1MCBAyXVrjiKxo4dRQqFjAbPqygPh0CG26Nt23ZHPK99jQqjrVt31nkusEcrL1ebKf+SykpV8rdbZGSG/4c6Ly+L9wUQB7z3gPjh/QfEB+89oPW53a6oi3NqXRvNSffff7+WLVumRx55RClVs4FqGjVqlKZPn65QKKSdO3dq7ty5GjlyZKMW1RB/IGAe+7y+Os8zUlJpSQMkpc58UxkPP6CMp59Q2gvPxXs5AAAAAIAE12BgtHLlSj3++OPaunWrJk6cqHHjxunKK6+UJF1yySVaunSpJGncuHHq3r27jj/+eE2YMEFXXnmlevTo0SKLDgbDgZHHV3dgpJQUZVgelpQUt8h6gETnWbsmfLz8p/gtBAAAAADgCA22pPXr10/Lly+P+LWnnnrKPPZ4PLrtttuab2X1sFUY1RMYGalUGAGS5CotNY/d27bGcSUAAAAAACeIaZe0RBEIhode1xsY1WhJK7V8aAaSSpk1MNoWx4UAAAAAAJzAmYFRIBwY1duSlppSo8KIljQkJ1uF0XYCIwAAAABA/ZwZGIUsFUYpqXWex9BroFKtljSj4d0IAQAAAADJy5GBkd/SkuapY9c2SVIKFUaAZA+MXBUVchUWxHE1AAAAAIBE57jAyDAM2wwjL0OvgYaV2ed3MccIAAAAAFAfxwVGQUtY5Jbkrm+GES1pgCR7hZHETmkAAAAAgPo5LjAKBALmsU+SUe8uaSnKsDymJQ3JylWjwsjF4GsAAAAAQD0cGBj5zWOvJHlpSQMaUqvCaCsVRgAAAACAujkwMKpZYeSt++SUVFuFUWlpqUKhUIutDUhUtKQBAAAAAGLhuMDI7w8HRg1XGKXILSnd8lxpjQ/OQFIoK7M9ZOg1AAAAAKA+jguMgkF7hZEaGHotibY0JD0qjAAAAAAAsXBcYOT322cY1deSZqSkSKoZGDH4Gsmn5tBrAiMAAAAAQH0cHRj5JMlTzwyjVCqMAAWDcpWX255ys0saAAAAAKAejguMgsGgeeyV6m1JM6pa0qyDr6kwQtKpMb9IYoYRAAAAAKB+jguMalYYGQ0MvZaoMEJyqzm/SJJcJcVSMeEpAAAAACAyxwVG1qHXlRVG9bSkRRh6XVpKYITkUnN+UTXmGAEAAAAA6uK4wCimCqOIQ68JjJBcIlUYSQRGAAAAAIC6OS4wCgSin2HE0Gugngqj7dtbeSUAAAAAAKdwYGBUo8IoiqHX9sCIuS1IMiVUGAEAAAAAYuPAwKjGDCOPp+6TGXoNMMMIAAAAABAzBwZG9gqj+lrSqDACmGEEAAAAAIidAwMje4VR/UOvKwOjDMtzxcVUGCG5WCuMDJfLPHZv2xaP5QAAAAAAHMBxgZHfHw6MGqowitSSVlpHtQWwxyorMw9DXbqaxy4qjAAAAAAAdXBcYBQM1phh5PPWeS4taYDkssztCvXoaR67t1NhBAAAAACIzHGBkd9fY5e0elrSlBopMKIlDcnFZakwCloDI1rSAAAAAAB1cFxgVGuXNG99FUaRdkmjwgjJxVVqqTDq2k1G1c6C7oJ8qbw8TqsCAAAAACQyRwdGVBgBDbNWGBlt2ijUvoP5mLY0AAAAAEAkjg6MGp5hFKnCiMAIScZSYWSkpcvI62g+djP4GgAAAAAQgQMDI/sMo/p2Saseep1heY6WNCQbV6mlwig9XaG8PPMxFUYAAAAAgEgcGBjZK4xibUkrLS1tmYUBCcplqzBKU8hSYeRi8DUAAAAAIALHBUZ+v32GUX0VRvJ6ZbjdtKQhqdlmGGVkKNTBUmFESxoAAAAAIALHBUbBYM0Ko7pnGEmSUlPZJQ3JzVJhpBoVRgRGAAAAAIBIHBcY+f01Zhg1EBgZKalKkeSxXG+9B7Cns1UYpdWYYURgBAAAAACIwHGBkXWGUYMtaZKUkiKXau6URpURkodthlF6eo0KI2YYAQAAAABqc3Rg1ODQa0lGhMHXzDFCMrHtkpZWIzBilzQAAAAAQAQNDABKPLUrjBpqSUuRRIURkpe1wkgZ6TIys8yHtKQBAAAAACJxYIVReP5QNBVGqqowyrA8VVJS2vwLAxJVzRlG7dqbj107dkiWEBYAAAAAAMmRgVFsM4yMFFrSkNxcZeGA1EhPl3w+hdq1q/yaYUjbt8draQAAAACABOW4wMi6w5lXanCXNNGShiTnKrUERmnpkmSbY6QtW1p7SQAAAACABOe4wChoDYxcLsnlqvd8hl4jqYVCcpWXhx+npVU+bQ2MtjLHCAAAAABg57jAyF8R/vDrbai6SKLCCMnNVl2UJrkr3/KhvLzwOVQYAQAAAABqcFxgZKswcnsaPJ8ZRkhmLuvA6/R08zjUgcAIAAAAAFA3xwVG/ooK89jrjSIwoiUNScxVGv5Zr55fJEkGM4wAAAAAAPVwXGAUqAhXGPk80bekZVieKi0lMEJyqLPCiMAIAAAAAFAP5wVGgXBg5KHCCKiXtcJIadbAyNKSxtBrAAAAAEANzguMLC1psVQYMfQaSanUWmGUZh5TYQQAAAAAqI/zAqNAwDz2ehh6DdTHNsMoPdyYSWAEAAAAAKiP8wIjyy5pPp+v4QsitqRRYYTkYJthlGapMOpQoyUtFGrNZQEAAAAAEpzzAiNLhZHH23BLmhGxJY0KIyQH2wwjS4WR0tIUysquPA4E5Mrf1boLAwAAAAAkNOcFRtYKo2gCI4ZeI5nVUWEk2Qdfu7dta7UlAQAAAAASn/MCo6BlhpE3ipa0CBVGpaUERkgOrtJS89g6w0iSDMscI/d2AiMAAAAAQJjjAiO/dei1L5qWtMoKI+tHZSqMkCzsgVHNCiNLYLRta6utCQAAAACQ+BwXGAWtM4waOfS6uJjACMnBVVZ3hZG9JY3ACAAAAAAQ5rjAyFph5IuiJS3y0Gt2SUNysFYYqeYMI8tOaS5mGAEAAAAALBwXGAWCQfPYkxJFYMTQaySzeiuMaEkDAAAAAETmvMDIWmHkS2n4gggzjEpLS2QYRjOvDEg8rhJLYFRrlzSGXgMAAAAAInNeYBSyVBhFERhVt6R5JKW5K79dwzBUam3VAfZQ9hlG6bavUWEEAAAAAKiL4wIjfyAcGPmiaEmrHnotSW3c4W+XwAjJwDbDqFZgZB16TYURAAAAACDMcYFR0FJh5I2hwkiyB0YMvkZSqKfCyKi5SxptmgAAAACAKo4LjPyWodfelChmGFkqjNJdLvOYwddIBtYKIyOtRmDUJtMMkVxlZXIV7W7VtQEAAAAAEpfjAqNAKGQeRxMYGSmWljTL81QYIRnYZhjVCIzkcjHHCAAAAAAQkaMCI8MwFLQERp6oAiNLS5rleSqMkAxsu6TVaEmT7HOMXNu2t8qaAAAAAACJz1GBUSAQMI89klxRzDCyDb22PE2FEZJCWd1DryV2SgMAAAAAROaowMjv95vHPknyNbxLmq0lzTLUlwojJAPbDCMCIwAAAABAlBwVGAWD4QojryTD6234olRLS5qlna3Uut04sIeqd4aRpFCHDuYxgREAAAAAoJqjAqNaFUZRBEa2CiNLYFRcTEsa9nyusjLzuOEKo22tsiYAAAAAQOJzVGAUCATNY58kI4qWNKVErjCiJQ17vFDIFhgpLa3WKYY1MNpOYAQAAAAAqOSwwChcYeSVJG8UgZHbbQZLDL1GUrFWF6WlSe7ab3dmGAEAAAAAInFYYBSeYVQ59DqKGUYKt6XZAyMqjLBnsw28jlBdJNkDIxeBEQAAAACgisMCI3uFkRFNhZFkDr4mMEIysQ28Ts+IeE4oL888ZoYRAAAAAKCawwIj+wwjRTPDSHVVGNGShj1bNBVGRk6u+T5yF+2W2D0QAAAAACCHBUbWXdIqK4yia0lThMColA/G2NNZf8brqDCSyyV1ZI4RAAAAAMDOUYFRMFhjhlGUgZERsSWNCiPs2WwVRumRK4wkSZ06mYfslAYAAAAAkBwWGNWsMIq2JS1ShREzjLCns80wSkuv+0RrYMQcIwAAAACAHBcY2SuMoh16XV1hZG3KKSgoaMaVAYnHXmFUT2DUoUP4ml07W3JJAAAAAACHcFRgZG1Ji6XCqHrodW9Jbnflt/zzzz9q06aNzbtAIIFYK4xUX4VRm3DtnYvKOwAAAACAHBYYWVvSfJIMX2xDrztIOmrf/SRJhmHozTdnNPMKgQQSbYURgREAAAAAoAZHBUa1KoxibEmTpNMOOdw8njFjenMtDUg4tpa0qCuMGAYPAAAAAHBYYFRzhlG0u6RVVxhJ0piBA5WSUhkgfffdYv3668pmXCGQOFxlZeaxkVFPYJQRnu5FhREAAAAAQHJYYBQI2CuMYh16LUltPV6NGDHSfDxjxv+abX1AInGVWsIfKowAAAAAADFwWGBkn2GkGGcYSZKrokLjx59mPp4xY7oMw2imFQIJxFphFO0MI0sbGwAAAAAgeTksMGpkhZElMFJ5uY47bpTatMmUJP366y9auvS75lwmkBCsFUbRzzCiJQ0AAAAA4ODAqLLCKPaWNFdFudLT03XiiWPM515/neHX2PO4SmOvMBItaQAAAAAAOTgw8kqNaklTRYUk6dRTTzefevPN1xUKhZphhUDisFUYRduSRoURAAAAAEAOC4z8fvsMI8MTXWBkqzAqL5ckHXnkMWrfvr0kadOmjfryy8+bb6FAArDukiYCIwAAAABADBwVGAWDNSuMomtJqzn0uvJSn0466RTzeXZLwx6nUTOMaEkDAAAAADgsMPL77TOMGjv0utopp4Tb0mbOfEMVVWESsCdwNWaXNCqMAAAAAAByWGDU6BlGNYZeVxsy5BB1795DkrRr1y59+ulHzbFMICE0bpc0KowAAAAAAI4LjOwzjKLeJS3C0GtJcrvdOvnkU83H7JaGPYl1lzSlp9V9IhVGAAAAAIAaHBYY2SuMom5JS7XMMLK0pEnS+PHhtrT33put4mIqLLCHsO2SllH3eWlpMlwuSVXvj2CwpVcGAAAAAEhwDguMGldhpJRwS5pqzCnad9/9tPfe/SVJJSXFev/9d5u4SiAx2GYYpdVTYeRyycigLQ0AAAAAEOaswMhfY4aRxxPVddaWtJoVRi6Xy1Zl9MYb7JaGPYMr2gojScoIf522NAAAAACAowIjv2VgtdftlqraaBpUx9Draqeccpp5/OGHH2jXrp2NXySQIKKuMJJkWAIj0ZYJAAAAAEnPUYFR0NJO5o2yukiqe+h1tT59+uqAAw6UJPn9fs2a9XbjFwkkglDIFhgpvZ5d0qQaLWlUGAEAAABAsnNUYBSwhD0+d/SBkeoZel1t3Ljwbmlffvl57IsDEom1uig1VXLX/1Y3aEkDAAAAAFg0GBhNmTJFw4YNU//+/bVixYqI50ydOlWHHXaYxo0bp3Hjxum2225r9oVKUsAfHnrt8USfdRn1DL2u1rt3H/O4oCA/5rUBicRVVmoeGw1UF0k1AyNa0gAAAAAg2XkbOmH48OE677zzdPbZZ9d73sknn6ybbrqp2RYWia3CyNPg0k22odcRZhhJUk5OjnlcWFjYiNUBicNVagmM0mINjKgwAgAAAIBk12DqctBBB7XGOqJirTCKZYaRtSVNdbSkZWVlm8cERnA6KowAAAAAAE0RfZlOA9555x3Nnz9feXl5uvrqqzV48OCY79G+fWa9X3e7QuZxqs+rvLys6G5c1M489Ab8Ea/r06dr+PSiwujvDSSiDeGWTW9mmwZ/ntPa5ZrH2V5D4ucfaBX8bw0QP7z/gPjgvQc4R7MERhMnTtRll10mn8+nBQsW6IorrtDs2bPVtm3bmO6zY0eRQiGjzq+XFIerJtxuj7Zt2x3Vfd1FfrWvOg6VlmlHhOsCgXDFUn5+QdT3BhKRd+N2Vb/7/Cmpyq/n5zkvL0slbp+qa4yKtuxQKT//QIvLy8vif2uAOOH9B8QH7z2g9bndrgaLc+q8tjkWkJeXJ5/PJ0kaOnSounTpopUrVzbHrW381pY0bywzjBoeem1tSdu9u1ChUCjieYATxDrDSBltwtcywwgAAAAAkl6zBEZbtmwxj3/66Sdt2LBBffr0qeeKxgk2OjBqeOi1x+NRZmZleaRhGCoqIvmGc9lmGKWlNXg+Q68BAAAAAFYNpi533HGH3n//fW3fvl0XXHCBcnNz9c477+iSSy7RNddcowEDBui+++7TDz/8ILfbLZ/Pp3//+9/Ky8tr9sU2tsIomqHXkpSdnW0GRQUFBcrOzqnzXCCRWSuMlJ5R94lVrIGRGHoNAAAAAEmvwdRl0qRJmjRpUq3nn3rqKfN4ypQpzbuqOgQDAfPYF0tg5PXKcLnkMgy5QiEpEJAiXJ+dna2NGzdIYqc0OFxprBVGtKQBAAAAAMKapSWttfgtgZEnlsDI5YqqyshaUVRYWBDz+oBEYZthFGOFkYsKIwAAAABIeo4KjAKBcEuaz+uL6dpo5hhlZ4cHX1NhBCdzlZWZx0Y6FUYAAAAAgNg4LDAKVxh5fTFUGEmSZac0Vx07pVFhhD2Fq9QS+sRcYURgBAAAAADJzlGBkd8WGKXUc2ZtRlQtadYKIwIjOJi1wijmXdJoSQMAAACAZOeowCgYDJrHXl+sLWkNVxjl5OSax7Skwclin2FESxoAAAAAIMxRgZG9wii2wCiaoddZWeEKo4ICKozgXK6Yd0mzVBgVExgBAAAAQLJzVGAUsFYYtfDQ6927qTCCc7nKLIFRRqwVRrSkAQAAAECyc1hgZKkwSolthpF16LXK62pJCw+9psIITmatMFIUFUZqw9BrAAAAAECYwwKjkHnsiTEwsg69jqbCiKHXcLSyGGcYWc8pLZEMoyVWBQAAAABwCEcFRn5LhZEvJcYZRrah13UFRuEKI1rS4GSxzjCSx2OGqi7DkKwVSgAAAACApOOowCgYslYYpdZzZm2Gbeh15JY0a2BESxqcLNZd0qQag69pSwMAAACApOaowMhvGXrti7UlLYqh19YZRoWFVBjBuWwzjNKjqDASg68BAAAAAGGOCowClgojb4wVRvah15EDo6wsZhhhD2GdYZSWHtUltgojWtIAAAAAIKk5KjCyVhh5fbHNMLLOcXFVRG5Jy8jIkMfjkSSVlZWpvI5gCUh09pa0aAMjKowAAAAAAJUcExiFQiFZ921yx9iSZqswqqMlzeVy0ZaGPYKrqRVGzDACAAAAgKTmmMDI7/ebxz7JHgBFwTbDqI6h15K9LW33btrS4EyNqzCyBkZUGAEAAABAMnNMYBQIBMxjryR5Y2tJU2rDQ68lKScn1zymwgiOZBhylZWFH0cZGMnWkkaFEQAAAAAkMwcFRjUqjHzemK43ohh6LUnZ2eEKo4ICKozgQJawyEhNldzRvc2tFUYiMAIAAACApOagwMgy8FqSEWOFkWGrMKq7JS07mxlGcDZXaTjsiXZ+kURLGgAAAAAgzEGBUc0Koxhb0qIYei3ZK4wKC6kwgvNY29GinV8k1dglrZgKIwAAAABIZg4KjOwzjAxvrC1p0Q29tgdGVBjBeawVRkpLi/o6KowAAAAAANUcExjV2iUtxsDIOvS6/gqjcEtaQUF+bK8BJIJSa4VRRj0n2hkMvQYAAAAAVHFMYBQM1tglLcaWNOvQa1eUQ69376bCCM5jm2GU3tgKIwIjAAAAAEhmjgmM/P5wYORTyw29zsnJNY9pSYMT2WcYxVJhREsaAAAAAKCSYwKjmjOM5IuxJS0lupa0rKxwhVFBAUOv4Tz2XdJiqTCiJQ0AAAAAUMlBgZF9hlHMFUZRtqTl5IRnGNGSBkeyVBgpLfpd0pQRPpcKIwAAAABIbg4KjGpUGDVp6HV0u6RRYQQnslYHGenRB0ZUGAEAAAAAqjkyMPJJTRt6HWVLGjOM4ET2GUaxBEaWeUcERgAAAACQ1BwbGBlNqTAqj3bodX5srwEkAFdpqXnc+AojWtIAAAAAIJk5JjDy+8MzjCqHXsdaYWTdJa3uCiNrS9ru3btlGEZMrwPEm6ssHBjFMsPIvksaFUYAAAAAkMwcExi11tBrn8+njKoPzsFgUMXFVFrAYRpdYWQJjCz3AAAAAAAkHwcFRkHzuDEVRtEOvZZqzjFi8DWcxdaSFlOFES1pAAAAAIBKDgqM7BVG8sU2wyjaljRJysnJMY8ZfA2naezQa6WkyPB4Ku/h90uWNlAAAAAAQHJxUGAUHnrtlWR4Yh16HW5Jq2/otWSvMCoooMIIzuIqDc8fiikwcrmoMgIAAAAASHJQYGQdel1ZYdQyQ6+lmoOvCYzgMJYKI8USGInB1wAAAACASo4JjIJB+wyjWIdeyzr0uqJCqmf3M2tLGhVGcBpbhVEMM4ykmoERFUYAAAAAkKwcExjVrjCKsSXN7ZZhrUqqZ/B1VhYzjOBcjZ5hJEm2ljQqjAAAAAAgWTkmMKo5wyjmXdIUfVuatcJo924CIziLNehpSoWRigmMAAAAACBZOSgwslcYxdySJkU9+No6w4iWNDiNtcJIGbSkAQAAAABi56DAyD7DSN4YW9IUfYVRdjYtaXCwJs0woiUNAAAAAOCkwMgfrgjySZLHE/tNLIGRyusLjMIVRoWF+bG/DhBHthlGaWkxXUuFEQAAAABAclJgZAl4PG635HLFfA8jtcZOaXWwB0ZUGMFZbLukpWfUc2ZtVBgBAAAAACQHBUZ+S2Dkczdy2VG3pOWax8wwgtM0rcIo3MJGYAQAAAAAycsxgVHQ0pLmbUw7muwVRtG2pLFLGhzFMOQqLQ0/TmfoNQAAAAAgdo4JjAKWXc18jQ2MbBVGdbek5eQw9BoOZa0uSkmJedYXLWkAAAAAAMlJgZGlwsjjblxg1Jih17SkwUlcZeHqoljnF0mSqDACAAAAAMhJgVGFtcKoccuOduh1mzaZclfNSSopKVYgEGjU6wGtzdqOFuv8IokKIwAAAABAJecERn6/edzYGUa2CqN6hl673W5lZVl3SqPKCM5grTCKdX6RZJ9hJAIjAAAAAEhaDg2MvI26h63CqJ6WNMnelsYcIzhGibUlrTGBkbXCiJY0AAAAAEhWzgyMvI0LjBTl0GtJys62Dr6mwgjOYJ9h1LQKI9tuawAAAACApOKgwCgc8DS6wijKodcSFUZwJvsMoyYGRlQYAQAAAEDSclBgZK0watwMI/vQ6/oDo5wca4URgRGcoekVRgy9BgAAAAA4NDDyNbLCyDb0urz+ljSGXsORrG1kTa4wIjACAAAAgGTlnMDIsrW9x9cMQ69jqjAiMIIz2FvS0mK+nqHXAAAAAADJQYGRP2CpMPL6GncTa4VRg0OvwxVGBQUERnAGW2BkqRaKFhVGAAAAAADJQYFR0Fph1Mhd0qxDr10NDL3OymKGEZzHNsOoERVGssw9cpWWSqFQcywLAAAAAOAwjgmM/P5wYOTzNbLCiJY07OGsFUZKj73CSG63vTKJKiMAAAAASEqOCYyCwXBg5G1kS5rRyJY0KozgGE2tMBJtaQAAAAAABwVGfktLmjelsUOvo29Jy86mJQ3O4yqxBEaNqTCqcR2DrwEAAAAgOTkmMLLukub1NHbodbglTQ20pNkrjGhJgzO4ysrMYyqMAAAAAACN5ZzAKBg0j73W4CcG9qHX9bekMcMITmQbet2IXdJqXkeFEQAAAAAkJ8cERv6gdeh14wIj69DrhiqM7LukERjBIaxDrxtdYdTGPKbCCAAAAACSk2MCI3uFUSNnGFkrjGIcem0YRqNeE2hNtgqjxs4woiUNAAAAAJKeQwOj1HrOrEcMQ6/T0tKUWnW+3+9XqbVyA0hQrtLm2CXNWmFESxoAAAAAJCMHBUYh89jbyJY0wzr7yDIcuC5ZWeEqo9272SkNic8WGFFhBAAAAABoJMcERn5rhVFq4yqMQm3bmce+75co9bVX6z3fPviawAiJzxoYKb1xFUZi6DUAAAAAJD3HBEbBUDgw8ngbN8Mo1KevKo4dbj7Ouu5K+T7+sM7zrXOMCgryG/WaQKtqlhlGDL0GAAAAgGTnmMDIHwq3pPkaWWEkSYVPPqvA7/eVJLkCAWVfeK683y+JeG52NhVGcJbmmWFkCZpKCYwAAAAAIBk5JjAKWAIjT2OHXksycnJV8P9eV7Bbd0mSu7hIORNPlXvN6lrn2gOjgka/JtBabLukpaU36h5UGAEAAAAAHBMYNVeFkSSFunRVwf+boVBOriTJvX2bciaOl2v7dtt51pY0KozgBPah140NjBh6DQAAAADJzhGBkWEY9gqj1MbtkmYV7L+PCl6cJqMqfPKu+lU555wuFYeH/ForjAoKqDBCgjOMGkOvmyEwKmboNQAAAAAkI0cERkHLDmluSe4mtKRZBQ49TIWPPSPD5ZIk+b79RtmX/FHer76Ua8sWW4XR7t1UGCHBlZWZh0ZKiuTxNOo2tKQBAAAAABwRGAUCAfPYK0mN3CUtkooxJ6noznvMx6lz31fbscerw4B+6npf+PmSD+ZU7qhmGM322kBzao75RRItaQAAAAAAxwRGfvPYJ8loxsBIksouulQl195Q6/lcf4V5XPzDUuWecYp88z9r1tcGmovLWmHUyHY0qWaFES1pAAAAAJCMHBIY1agw8vma/TWK/3aLCh95UmUnnSL/wEEKZeco1/L16glGvkULm/21gebgKrVUA6WlNfo+VBgBAAAAAJq3VKeF+P3hwMgnyWiBwEgul8pPn6jy0ydWPjYMGXNmS+edKUnKrz5t167mf22gOZRaKowsoU/MMsLVSVQYAQAAAEByckSFUTBYc4ZRCwRGNblcyurWw3xYXWHkKshv+dcGGsFaYWQ0qcIo3JImKowAAAAAICk5IjDy++0zjORrncKonJwc8zi/6p9uKoyQoOwzjBpfYURLGgAAAADAEYFRzRlGRmtUGEnKzs42j80Ko3wCIyQm97at5rGRk9vo+9Qaes3OgAAAAACQdBwXGPkkqZl3SatLVlY4MCqUFJTkpiUNCcq9YYN5HOzevfE38vnMOWGuUEgqL2/q0gAAAAAADuO4wKildkmLxOPxKDMzy3y8Wwy9RuLybPjNPA5Z5m81Rq0qIwAAAABAUnFIYGSfYWS0UoWRVLstzU1LGhKUe8N687hJFUZijhEAAAAAJDuHBEbxqTCSag++dpWVSaWlrfb6QLTc68OBUagbgREAAAAAoPEcERj5/fYZRq019FqyzzGqHnzNHCMkIltLWnda0gAAAAAAjeeIwCgYTJwKI4k5RkhARUVyV/1cGj6fQnkdm3Y/KowAAAAAIKk5IjDy++0zjOT1tNprU2EEJ/BsDO+QFuraTXI37a1ta0krJTACAAAAgGTjiMCo5gyj1mxJo8IITmAbeN3E+UWSvSVNVBgBAAAAQNJxSGBUo8KoFVvSsrPDgVF1hZGLndKQYDwbmm/gtVSjwqiYGUYAAAAAkGwcEhgFzePWrjCK2JKWn99qrw9Ew70+PPA62L15K4yYYQQAAAAAycchgVHNCiNvq712xJa0/J2t9vpANOwVRk3bIU2qUWFEYAQAAAAAScchgVH8ZhhlZ0eoMGKGERKMbYZRs1QYWQMjWtIAAAAAINk4IjCqtUtaK84wilxhRGCExOKxtKQ1T4URLWkAAAAAkMwcERgFLIGRV5K8rdeSxgwjJLxQSO5NG8MPu3Vr8i2NjHTzmAojAAAAAEg+zgyMPJ5We+2cnFzzOL/qn1QYIZG4tm+Xq7xckhTKzZWRmdXke1JhBAAAAADJrcHAaMqUKRo2bJj69++vFStWRDwnGAzqtttu04gRI3Tcccdp+vTpzbrIQNWHYUnyuVs342KGERKdZ4OlHa1r0+cXSZIYeg0AAAAASa3B9GX48OF6+eWX1a2eNpeZM2dq3bp1ev/99zVt2jRNnTpV69evr/P8WAUqwoGRt5UDo0gtaa6C/FZdA1Af9/rmHXgtMfQaAAAAAJJdg+nLQQcdpC5dutR7zuzZs3X66afL7XarXbt2GjFihN57771mW6S9wqj12tEkKSMjQ96qmUllksoluQoKpGCwVdcB1MVWYdStuQKjcEuaqDACAAAAgKTTLOU6mzZtUteuXc3HXbp00ebNm5vj1pKkQEWFeez1tG6FkcvlqtWW5jIMuQoL6r4IaEXuDZYKo2bYIU2qWWFEYAQAAAAAyab1thuLQvv2mRGfT7GsMsXjUV5e04f6xqJt27bauXOnpMrB1x0ldfAEpFZeBxDRtnA4m/mHfspsxM9lrfdU947moa+8tNXfc0Cy4L0FxA/vPyA+eO8BztEsgVGXLl20ceNGDRw4UFLtiqNo7dhRpFDIqPV8YX6Reex2u7Vt2+7GL7YR2rQJ/1Krriva9etvCmR3jHwB0IpyV6+Rr+p4V1YHBWJ8f+TlZdV6T7nLDLWvOg7uLtLOVn7PAckg0nsPQOvg/QfEB+89oPW53a46i3MavLY5FjBq1ChNnz5doVBIO3fu1Ny5czVy5MjmuLUkKeAPt6S19gwjScrJyTGP86v+6WKnNCQIj2XodajZhl6HZxgx9BoAAAAAkk+DgdEdd9yho446Sps3b9YFF1yg0aNHS5IuueQSLV26VJI0btw4de/eXccff7wmTJigK6+8Uj16NM8sFUkKVvjNY6+n9QOjSDuludkpDYmgrEzubVslSYbbrVCnzs1yW2YYAQAAAEBya7AlbdKkSZo0aVKt55966inz2OPx6LbbbmvelVn4K8K7pMUjMKo59FqiwgiJwb1xg3kc6tJV8jbTWLK0NBkuV+WA94oKKRBovnsDAAAAABJe62451kjBgKXCKA4fWnNycs3jbVX/dOcTGCH+PJYd0kLdmqcdTZLkctnb0kqpMgIAAACAZOKIwMhvaUnzeVu/wqi7ZS7Mmqp/uvLzW30dQE1uS2AUbKb5RSba0gAAAAAgaTkiMLJVGLlbv8KoZ8/e5vHqqn9SYYRE4Fn/m3kc6tZ8c8Mk+xwjFTP4GgAAAACSiSMCI2uFkdcXj8Col3lcHRi5CIyQAKwzjILN2ZKmmjulUWEEAAAAAMnEEYFRIBAwj+Mx9LpXr3BgtFZSSJKboddIALYKo2ZuSWOnNAAAAABIXg4JjCrMY6/P1+qvn5mZpXbt2kmSKiRtlOQqyG/1dQA12WYYdW3JCiNa0gAAAAAgmTgkMAqax15PfLb2rtmW5qLCCPFmGPZd0pq9wijdPKbCCAAAAACSizMCI79ll7Q4VBhJtQdfM/Qa8ebatdMMckJtMmXk5Dbr/e0taVQYAQAAAEAycUZgFAzPMPLEYei1FKHCqLxcKi2Ny1oASbWri1yuZr0/Q68BAAAAIHk5IjDyW4Ze+7zxqTDq1au3eVy9UxpVRogn94bwDmmhZt4hTaLCCAAAAACSmSMCo2DAWmEUr5Y0e4WRxBwjxJd7Q3iHtGC3Hs3/AlQYAQAAAEDSckRg5LcMvfb5UuKyhl69agdGbnZKQxx51rfcwGupZoURgREAAAAAJBNHBEbBYPwrjLp16yFX1YyY9ZIqRIUR4stWYdS1W7Pf3xoYiZY0AAAAAEgqjgiM/MFwhZE3ThVGqamp6tKlqyTJkLROzDBCfNkrjJq/JY2h1wAAAACQvBwRGAWsgVFKfCqMpAg7peXnx20tgNuyS1qQodcAAAAAgGbkiMDIVmGUEp8KIylSYESFEeLE75d78yZJkuFyKVRV/dacqDACAAAAgOTliMAoaGtJS5wKIzczjBAn7s2b5DIMSVKoYycpNbXZX4Oh1wAAAACQvBwRGPlDll3SUpr/g3G0qDBCovBsaNkd0iRa0gAAAAAgmTkiMAqEQuaxJ44tab169TaPV4uh14gf93rLDmndmn/gtVSjJa20tEVeAwAAAACQmBwRGFlnGPlSE2mGUX7c1oLkZh14HWqBgddSjQqjYlrSAAAAACCZOCIwslYYuePYkta5cxf5vF5J0jZJJTt2xG0tSG6e9dbAqFuLvIZ96DUtaQAAAACQTBwXGPlS0+K2Do/Ho+5dw9Uca2lJQ5y4N7R8S5raMPQaAAAAAJKVIwIjvyUw8sZxhpEk9ezd2zxeW7RbsrTLAa2lVYZep4cDI5WWSFW7sgEAAAAA9nyOCIwClg+q3hbYPjwWPXv1MY9XSXIV5MdtLUhe7g0bzOMWqzDyeGRUvd9chiEx+BoAAAAAkkbCB0aGYSiYQIFRr14MvkZ8uQoL5C4skCQZaWky2rdvsdeyDb6mLQ0AAAAAkkbCB0aBQMA89khSvFvSauyU5maOEVqZvbqou+RytdhrMfgaAAAAAJJTwgdGfr/fPPZJktcXt7VItQMjF4ERWpnHMvA61FLtaFWMzEzz2FVY2KKvBQAAAABIHAkfGAWD4QojryT5vHFbiyT17NnbPF4tybWLwAity70+PPA62K1bi75WqEtX89jz27oWfS0AAAAAQOJI+MCoZoWR4YlvYNS+fXu18VauoUjSLkt7ENAabDukdWuZHdKqBS1D3j3r1rToawEAAAAAEkfCB0aBQHjb+soKo/i2pLlcLvXKyTUfr+NDNFqZ2xoYdW/ZlrSgpQXTvW5ti74WAAAAACBxOCAwqlFhFOcZRpLUq30H83jtRiqM0LqsgVGwpSuMevc2jz1r17ToawEAAAAAEocDAqPEmmEkSb06dTaP127dGseVIBnZWtK6t2xgFLJUGHmoMAIAAACApOGAwKjGLmlxbkmTpJ6WD+lrd+6I40qQdIJBuS1VbcGuLT3DqLd57Fm3VjKMFn09AAAAAEBicEBgZJ9hlBAtab3Dg4DXstU4WpF7+za5qqruQu3aSenpLfp6Rm5bhbJzJEmukhK5tm1r0dcDAAAAACSGhA+Mau6SlggVRj326mceryktieNKkGxclhbIUMdOrfKatiqjtatb5TUBAAAAAPGV8IFRMGifYWR4PPFbTJUev/+DebzW71coFIrjapBM3NssgVFex1Z5TeYYAQAAAEDySfjAKBErjNp06672VccVkjZv2hjP5SCJ2AOjvFZ5TXuF0ZpWeU0AAAAAQHwlfGBUc4ZRIgRGSk9XX5fLfLhu5Yo4LgbJxL19u3ncWhVGQUuFkZsKIwAAAABICg4IjOwVRokw9Foul3qnpJgPf1v+UxwXg2RiqzDq0EoVRr17m8dUGAEAAABAcnBAYGSfYSSfN25rserdpo15vO7XX+K4EiQTa2BktNoMo97mMTOMAAAAACA5OCAwSsAKI0m9q7Yal6R1a/kQjdYRlxlG3XvIqGrBdG9YL1nmigEAAAAA9kwOCIxqzDDyJkaFUc/27c3jtRvXx3ElSCbubdvM49aaYaS0NIU6d5EkuUIhudf/1jqvCwAAAACIm4QPjPz+CvM4UXZJk6TenTqbx+u2bInjSpBMXNvjEBiJndIAAAAAINkkfGAULA8HRl5JcifGkrt17a7qfdI25OeroqKi3vOBJguF5LYGRq009FqSQpad0phjBAAAAAB7vsRIX+rhLy8zj30JEhZJUkr79upWdWzI0HradNDCXLt2yRWsbNEMZedIqamt9tpUGAEAAABAckmcBKYOQUvljieBAqNQblv1sTxeR9UFWlg8Bl5XC1oqjNz8rAMAAADAHi9xEpg6JGqFkdGWwAityx4Ytd78IkkK9gr/tHvWrm7V1wYAAAAAtL7ESWDqYK0w8iZQYBTKzSUwQquyzi8yWjkwCvVihhEAAAAAJJPESWDqECgvN48TqsKoRkvaWua6oIXFsyUt1KmzjKqZSe6dO+XaXdiqrw8AAAAAaF2Jk8DUwW8JjLxuTxxXYld7htGaeC0FScK9LT47pFW+uFvBHj3DD9dSZQQAAAAAe7KED4yCfr957PUkznINWtLQylxxnGEkSSHL4Gt2SgMAAACAPVviJDB18NtmGCVOhZGRk6uuknxVj3fs2KGioqJ4Lgl7uHgOvZakYK/e5jFzjAAAAABgz5bwgVHQHw6MfJ7ECYzk8ciVk6telqeoMkJLiucMI0kK9uxtHntowQQAAACAPVrCB0YBS4WRJ5ECI1VWGfW1PF69elXc1oI9n3v7dvM43hVGblrSAAAAAGCPlviBkWWGUUJVGEkKtW2rvS2PV636NW5rwR7OMOwVRq099FpSqJdlhhHVdAAAAACwR0v8wMg6wyjBAiMjN7dGYPRL3NaCPZtrd6FcVTsGGhkZUmZmq6+h1gwjw2j1NQAAAAAAWkfiB0bWXdK83jiupLZQrr3C6NdfCYzQMuzVRa3fjiZJRnaOQrm5kiRXWZncW7fEZR0AAAAAgJbnrMDIk1iBkZHbVv0tj3/5ZWXc1oI9m3vbNvM4HgOvqwV79TGP3WvWxG0dAAAAAICWlfiBUSBgHnt9iRUYhdq2VQ9JqVWPt2/fpoKC/DiuCHsqly0wik+FkSSFelrnGK2J2zoAAAAAAC0r4QMjvz88w8iXaBVGObnySPqd5TkGX6Ml2FrS4lph1Ns89rBTGgAAAADssRI+MAraKox8cVxJbUbbtpLEHCO0uIQJjHqyUxoAAAAAJIOED4z8AevQ68TaJS2US2CE1uFOkJY0a4WRmwojAAAAANhjJXxgFAgEzWOvNzErjKyDr3/9lcHXaH72CqM4zjDqRYURAAAAACQDBwRGlgqjBGtJC+XkSqpZYcQMIzQ/9/ZwhZERzwqj7j1luFySJPfGDVJ5edzWAgAAAABoOQ4IjCwzjBK0wqhmS5phGPFZEPZYtgqjDvGbYaSUFIW6dpMkuQxDng2/xW8tAAAAAIAW44DAyNKSlpJYgVH1DKMOknKrnispKdaWLZvjtSTsoVy2GUZxDIxUY47RmjVxWwcAAAAAoOUkfmAUTNwKI6Wny0hNlUsMvkYLKimRu7hIkmSkpMioaoWMlxA7pQEAAADAHi/hAyN/MFxh5EtJieNKIquuMrIPviYwQvOp1Y5WNUMoXqwVRh52SgMAAACAPVLCB0ZBS2Dk8XnjuJLIIs0x+uWXpu2U5vf7VVS0u0n3wJ7DOvA6njukVQtSYQQAAAAAe7yED4z8lpY0ny9xK4ysgdGqVY2vMFqxYrkOP/xA9e/fW++++04TV4c9gds6v6hDhziupFKwVx/z2E2FEQAAAADskRI+MAoEQ+axNxFb0rr3kNQ8M4w2bFivM844RWvXrpHf79fTTz/eDCuE01lb0owEqDAK9bJWGK2J30IAAAAAAC3GAYGRdZe01DiuJLLgXr+TJPWzPFcd+MRi584dOuOMU7Rhw3rzuZ9//qk5lgiHs80wSoTAqGMnGWlpkiR3fr5cBfnxXRAAAAAAoNklfmAUsswwSkmwXdIUDozaSOpW9SE6EAjot9+in+1SVFSks88+XStWLLc9v23bVu3cuaPZ1gpnsgdGeXFcSRWXizlGAAAAALCHS/jAyG9rSUvcCiNJ2tuye1W0g68rKip00UXn6ptvFkmSXC6XcizbptcMkZB8XNu3m8eJUGEk2XdKc69ZE7d1AAAAAABaRsIHRoFQYs8wCvTZyzzeu6zMPP71118bvDYUCumaay7Txx9/aD5311336rjjRpqPaUuDrcKoQwJUGEkKUWEEAAAAAHu0xNunvgZrS5ovNfEqjJSZqWCnzvJs2az+hmE+3dDga8MwNGnSTZox43/mc3/5y8268MJLVFS023xu+XICo2SXaDOMJCnYs7d57Fm7On4LAQAAAAC0CEdVGHkSsMJICrelWXdKW7Wq/sDooYfu09NPP2E+vuCCi3XjjX+VJPXv/3vz+eXLf26+hcKREjIwsrSkUWEEAAAAAHuehA+M/KFw1Y43NS2OK6lbdWDU3/JcfRVGGzas191332E+HjduvO688x65qmYg9e+/j/k1WtKSXEWF3Pn5kiTD7ZbRrl1811PFOvTaTWAEAAAAAHuchA+MAoa1wigBW9IkBftWBka9JXmrQp9NmzaqqKgo4vmzZ89UMFjZajdo0GA9/PAT8ng85td79uyljIwMSdL27du0Ywc7pSUr947wwGujfQfJ8nMST6Hevc1jz7q1UjBY98kAAAAAAMdJ+MDIb2lJ86UldoWRV1LftHTz+dWrIw++njXrbfP47LP/qNQas5ncbrf69QvXKzHHKHkl4sBrSTIysxTs2EmS5KqokHvtmvguCAAAAADQrBI/MLIMkvamJWqFkWWnNEtFVKS2tK1bt+rLLz+XJLlcLp1wwpiI96QtDVJizi+qFrT8jHpXrojjSgAAAAAAzS2hA6NQKCTD8tjtS9Ch1716y3BX/lX2Lyszn48UGL377iwZVSHYoYcero4dI4cA9sHXBEbJyrVtm3kcykucCiNJCvYLj3n3rFgex5UAAAAAAJpbQgdGfr/fPPZKciXoLmlKTVWoR09JDQ++fuedcDva6NFj67zlPvuEqzfYKS15ubcmboVRwNI26V1JYAQAAAAAe5KEDowCgYB57JNkeH3xW0wDqucY7W157tdfV9rOyc/fpfnzPzMfjx59Up33o8IIkuTebq0wSqzAKLh3ODDyEBgBAAAAwB4lwQMje4WRfN64raUhgYiB0a9m+5kkvffebDMEO+CAA9WtW/c679e9ew9lZLSRJO3YsUPbLK1JSB72GUYJ1pJmDYyWL5cMo56zAQAAAABOkuCBUXirbp8k+RK4wqhq8HVnSZneymCrsLBA27eHt0WfPXumeXziiXVXF0mVO6XtvXc4fqLKKDm5LUGhkWCBUahjJ4WycyRJ7qLdcm/eFOcVAQAAAACaS4IHRvYKo4RuSetbWWHkktQvJbybW/Uco6Ki3fr44w/N58eMqT8wkmhLQ2LvkiaXi8HXAAAAALCHSvDAyD7DSN7EbUmrnmEkSf2D4XWvWlUZGM2d+77Ky8slSX/4w37qW1WRVB9rYPTzzwy+TkYJHRhJCjDHCAAAAAD2SAkdGNXcJc1I4MAo1K27jNTKyqL+VcGQJP3yS+Xg61mzotsdzcq+UxoVRkknGJRr5w7zYah9hzguJrKgdae0PaXCqLRUbW75m9rc8U/J8jsIAAAAAJJJ4iYwkoLBGhVGCTzDSB6Pgn36yvvzTzUGX/+i0tJSzZ37vvncmDHjorplzZY0wzDkcrmaa8VIcK6dO+UKhSRJodxcKSUlvguKIGiZs+VZuSKOK2k+6U8+qozHH5YkBXv0VNkfL4zzigAAAACg9SV4hVE4MKrcJS2BAyNJwT6VbWbWwGjVql/0yScfqaSkWJK0116/0z77/D7C1bV1795DbdpkSpJ27dqlrVu3NnAF9iSJ3o4mSYE9sMIo9YM55nHKpx/HcSUAAAAAED8JHRjVnGGUyEOvpfAcI2tgtHr1Kr311gzz8Zgx46KuEnK5XOrfP/yBnLa05OKEwCjUs5fZiunetlWu/F1xXlETFRfLu/gb86Hvqy8kw4jjggAAAAAgPhI8MArPD6lsSUvoDjozMMqW1Dk1TZJUUVGhmTPfNM+Jdn5RNXZKS15OCIzk8Si4V7/wwxXObkvzLfxSLsvcIve2rXKvXhXHFQEAAABAfCR4YGRvSXNKhZEk9bMM6K4e3t2jR0/tv//gmO7JTmnJy71tm3kcysuL40rqF7BUwXkdvlNayvzPaj3nW/hlHFYCAAAAAPHlmMDIJ0kJvEuaJAX6hgOjvS07pVU78cSxMQ+tZqe05OXeHg6MjA6JGxhZd0rzOHyOkW8BgREAAAAASFHukrZ69WrdfPPNys/PV25urqZMmaLevXvbzpk6dapeeeUVdexY2TpzwAEH6NZbb23S4gKW1hAnDL028vIUysySu2i3+gdqb8c9evRJMd/T3pL2MzulJRFHtKRJCuxtCYwcXGHkKiyQd8niWs/7vvoiDqsBAAAAgPiKqsLo1ltv1VlnnaU5c+borLPO0i233BLxvJNPPllvvfWW3nrrrSaHRZLkLyszj32SlOhBicsVcfC1JHXs2ElDhhwS8y27du2mrKxsSVJBQb62bNnc1FXCIVwOCYyCe8hOab4vP5crFJIkBfrvI6MqoPauXCHX9u3xXBoAAAAAtLoGA6MdO3boxx9/1JgxYyRJY8aM0Y8//qidO3e2+OKClrYurzuhu+dMwb32kiT1r/H8iSeOkbsR34PL5dLelgqOn3+mLS1ZOGWGUbDvXjKqfrbdv62TSkrivKLG8c0Lt6NVDDtOAcu8Md/XX8VjSQAAAAAQNw22pG3atEmdOnWSx+ORJHk8HnXs2FGbNm1Su3btbOe+8847mj9/vvLy8nT11Vdr8ODYBjy3b59pe5yRGq4o8rlcysvLiul+cTFgX2nG/9RXktvlUqhqS+6zz55oX/8rr0hvvildd510+OH13nLQoIH65puvJUkbNqx2xt8Dmm5HODBqu09fqQX/vTftZypL2msvaeVKuQxDeTs3Sr1ie+8nhK8WmIcZY0ZJbVKlRQslSTnLvpXOmxivlWEPxu9zIH54/wHxwXsPcI5mmyI9ceJEXXbZZfL5fFqwYIGuuOIKzZ49W23bto36Hjt2FCkUMszHO7cXmMcet1vbtu1uruW2mNTOPZQtKUXSyA55enfbVu2zz+/1hz8cYK7f88tKtT3nHLkMQ8asWcr/39sKHFx3u1qvXnuZx998s8QRfw9oIsNQh61bVR2ZbnOlSy307z0vL6vJP1PZe/VT6sqVkqTCr75VefffNXBFYnHt3KEOS5ZIkgyPRzt+P0i+7YXKqfq6/+NPlc/7Ds2sOd57ABqH9x8QH7z3gNbndrtqFedEfW1DJ3Tp0kVbtmxRMBiUJAWDQW3dulVdunSxnZeXlydf1cyPoUOHqkuXLlpZ9QGysQLllhlGLoe0pPUNhzvT2rbVq6/+T2++Odv8u5Gk9GeekKuq8shVWqqccybUu7uUdfA1LWnJwVWQL1fV0PdQm0wpIyPOK6qfbae0lhh8XV6ulHffkXv1qua/tyTf5+HqosCgA2RkZslvCXG93y2WSktb5LUBAAAAIBE1mMK0b99ev//97zVr1ixJ0qxZs/T73/++Vjvali1bzOOffvpJGzZsUJ8+fZq0uEB5hXnsmBlGlsAoc+0aDT9muNq1a28+59pdqNT/94rtGveuXco54xS5N26IeM999qm9Uxr2bNb5RUYCzy+qFugXHvPuXbGi2e+fOelm5fzxTLU97mi5W2Dwe8r8T81j/xFHSZKMDh3M78vl98u35Ntmf10AAAAASFRRpTD//Oc/9dJLL2nkyJF66aWXdNttt0mSLrnkEi1dulSSdN9992nMmDE66aSTNGnSJP373/9WXhM/6NoqjDzOCIyMnFyFOlR+367ycrk3rLd9PXXaK3IXF0mSgt17yMhoI0nybFivnInj5crfVeuenTt3UXZ2ZXPM7t2F2rx5U0t+C0gAbofskFYtuHfLVRi58ncp7f+9JElyFxYodfq0Zr2/JPkWzDOPK6oCI0nyH3JY+Jyvvmj21wUAAACARBXVDKO99tpL06dPr/X8U089ZR5PmTKl+VZVJVjVkiNVzjByiuBev5N7e2WFiOfXXxTq2avyC6GQ0p950jyv5OrrFezdRzlnny5XICDvzz8p59yJyn/tTSk93TzP5XKpf/999HXVTk0///yTunTp2mrfD1qf4wIjS4WRZ9WvUiAgeZtnRFrqjP/JZdkxMe1/01R61bXNcm9Jcm3dKu/ynyVJhs9na0XzDzlU6S89L0nyLvyy2V4TAAAAABJdQqcwfsuHRJ/bE8eVxCZgaUvzrPrFPPZ98pG8v1Y+DmVlq+z0ifIfO1y7H3osfM5XXyj7TxdUfuC2sLelMcdoT+faHm5Jc0JgZGRlK1gVYrr8fnnWrG62e6dNe9n22PvjMnl+/KHZ7p+y4DPz2H/gwbZ5Uf4hh5rHvoVfSaFQs70uAAAAACSyhA6MrBVGXo9zAqPgXuEdojyrfjWP0/8bri4qO/NsKbNyUnn5aWeo6PY7za+lvjdbmf93vWSZVdS//z7m8fKqagjsuWwVRh06xHEl0bMNvq5niLsMQ6oaot8Qz88/ybe49uygtNdfi3l9dfHND7ej+S3taJIU6tPXDOzchQXyMHQeAAAAQJJI6MDIX2GpMHLIDCNJCvYNB0bVFUXuNauV8sEc8/myCy+xXVN62VUqueo683H6S88r/ZGHzMfslJZcrEOvnVBhJEmB/g3PMXKv/03tDh6o9v16yvfFgojnWKW9+pJ5HLS0Yaa+/lqzVfv4Igy8NrlczDECAAAAkJQSOoUJVlhnGDm0wqgqMEr/71NyVVUMlQ8/zhYqVSv+x20qm3Cm+bjNlDvk+WWlJHtL2ooVy9kpbQ/ntBlGkr3CyFtHhVGbuybLs26t3EW7lfnnq2u1Xtr4/Uqb/v/Mh0V3/0ehqt0ZPRs3RBU4NcS9Yb28q1dJkoy0tMqWtJrLGBKeaeRjjhEAAACAJJHQgVHAX2Ee+5zUkta7jwyXS5Lk/m1d5S5PlkqJsov/FPlCl0u7739Y/v0HVz4sL1fmDddIoZA6duyk3NxcSZU7pW3cuKFFvwfElyMDo73rb0nz/LqysjKoivfXX5T2yot13i/lo7nm8Phgp86qOG6kyk8+1fx6ajO0pfnmW+YXHXyolJpa6xxbhRGBEQAAAIAkkdiBUUU4MPI2045LrSI9XaFu3SVJrlBIGf+ZIndBvqTKgdgVx46o+1qfT7vvmyqjKiBL+WKB0l58rmqntHCVUfWOadFw7dwh17NPyf3ryti/F7S+8nJ51q4xHxod8+K3lhgErBVGK1fUahnLuO8euWo+d89dUklJxPtZQ9byCWdKXq/KTp1gPpf69ptSWVmT1pyywDK/6MijIp4T2G+gjKpB2J7f1sm9YX2TXhMAAAAAnCCxAyOHVhhJ9jlG6c9Yhl1feInkrv+vPThgoEot84za3H6L3Js22gKjSy+9QMOGHaEHH/yP1kTYkWr37kK9995s/e1vN+rIA/ZV3k036Iwjhmj30u+a8F2hNaQ/97Tc27dLkkLt2yvYo1ecVxQdo0MHhdq2lSS5SorltlTBeVb9YqsICmVlVz6/ZbPSn3681r1c27cr5f13zcdlE8+WJAUOGqJgr96SKodQW+eCxb5gw1ZhVDH0yMjn+Xy2VjWqjFAfz7Kl8ixbGu9lAAAAAE2W0IGR37JLmsdJFUaSgnvtZR67qua0GBltzA++DSn+8/8p0LfyHu7dhcq86QYdc8yxtnOWLfte//rXbRoyZH8df/zRmjr1Af3733dq9OjjtPfevXTeeRP19NNP6OeqCo4Pg0GdPu5E7dq5ozm+RbQAV2GBMu6/x3xcct1fJJ8vjiuKgctV505p1uqiiqOPVfEtt4e/NvUBufJ32W6V9vo0833jP/BgBfvtbb5G2WlnWM5rfFuae+0aedb/JqnyvRkYdECd5/oPZo4R6uf9brFyThundsOGqt2woUr54L14LwkAAABokoQOjAL+8EBcn8dpgVHtodZlEybKyM6J7gbp6Sq6b6r5MPW9dzTeMPTii9N0wgljlFpj1sqSJYs1efItuvfeu/X1118pWMe25d8W7dapw4/U9qoKlpbgXr1KLkKpRkl/+EG5d+6UJAV79lLp+RfHeUWxCextbUurDIzcq361VRcV/+WvKjvr3HAgWpCvjIfut90n7f+9Yh6XnXmO7Wvlp4Xb0lLmzpFr185GrdXajlZx2OH1BnPWOUberwiMEOb5daWyLv6j2h53tFI++9h8Pv2Jx+K4KgAAAKDpEjwwcnKFUe3AqPSiOoZd18F/+BEqPfcC83HWzX/RqCGH6PnnX9GPP/6qhx9+QscfP0q+Oj7oDhiwv27o2EnvS3pUkqvq+WUb1uuUsSO1ZcvmmNbToIoKZd54vdofMkjtD9hP7qrdpxAd96aNynjiEfNx8c2TIg5hTmT2CqMVkqQ2998jV1WAWXHUsQoccqjk86nkr/8wz01/+nGzhc279Dt5f6hs6THS0lR+8nj7a+zVT/7BldVArooKpc58q1Fr9c371Dz2D408v6ha4KCDZVS1knp/XCZXYUGjXhN7Dvemjcq84Vq1PWKI0t5+o9bXffM+kXvTxtZfGAAAANBMEjswCoQDI6fNMAr02cv2uOLIYxTsv0/M9ym+5TYFO3WWVLlzVpvbKj9kZ2Vla8KEM/XSS6/phx9+0YMPPqrx40/TueeeryeffFY//rhKHz/7ku7dukXHSbrM59MzuW3Nf+HLf12pk08+sdl2W3Nt2aLc8WOU/vwzlY9LipVezw5YqC3j3rvlKi2VJPkH7K/y8afHeUWxC+69t3nsWbm8srrof9PM54r/crN5XD725PCOgGVlyrj3bklSqnXY9YljI1bllVva0hq1W5phyBfFwGvz9KxsBfYdULnWUEjeRV/H/prYMxiGMu65S+0OGaT0F581w1Cp6me6Osw0DKW+Pj1eqwQAAACaLMEDo3BLmtcpc1yqhHr2kmFZc+nFsVUXVTNyclU05T7zcforL8r32Se2c3Jz2+rMM8/R44//V//5z0M6+eRT1aFDB1vlRcXRx2r8Y0/pZUnV0duvv/6iceNO0G+/rWvU2qp5v12ktscfXWu2S8q7s5p032TiWbFcaS+/YD4u/sdtDQ5HT0T2ndKWq80D99qriw4Nt3bJ7VbxpH+aD9NeeVGeH5bZ5hLVbEcznx93qm0nQXdDP8OGURlezZiuNv/4q3LHHC9PVYVdKCdXgf0GNvi9+Q851DxmjlHy8s3/TG3uuUsuyw59FUceo11zPlbhMy+o9IJLzOfTpv+/eCwRAAAAaBYJ/Ym0qDS83XaGw1pz5PWq/ORTJVUO7a04flSjb1Vx4hiVjxlnPs664Zo6tyK3Sp0ZbpMoP+kUVQw/XiePP12vSaqOstauXaNx407Q6ka2j6W++pJyTxolT1XrheF2m0GZd8VyeX5Z2aj7Jps2/7otPBT6qGPlP2ZYnFfUOKHuPcwt6N07dij1tVfNr1mri6r5jz5WFUdVDnN3hULKOft0uXdVDsAOdu8h/5FHR3wdo2NH+Y8OD4FPnRGhkqO0VGnPPq2cCSerff9ean/oYGVfdpEynnhEvq+/Cq/h8COkKCoYA0MIjCClzJltHgd+/wflT39LBa+/rcDgAyVJFWNOkpGeLkny/vQDO6YBAADAsRI6MNpaWGged2zTJo4raZzdUx/Xzo8/V/4b70T1gbQ+RXfdo1BOriTJs3aNMh6bWu/57t/WyfftN5Ikw+tVxagTK+9zxxSd3K6dZkhKqTp3/frfdMopo7VmzeroF+T3K/PmG5R97RVyVVRIkkK5uSp49XVVHBcOx1JmU2XUEO9XXyrVUo1VfMttcVxNE7ndCuzVz3xohmBHHmOvLrIo/sc/zWOPpUWybMKZ9VZZ2XZL+980yTAqHxQVKf2Rh9Tu4IHKuunPSvnkI7nz8yPeI/C7fhGDrEj81sDom68ly4w1JI+Uj+aax0X//JctuJQkIzNL5SeMNh9TZQSradNe0d///n/asmVLvJcCAADQoIQOjLYVFZnHHTKz4riSRnK7Fdx3Pyktrcm3CnXqXNmmVCX9iUfqHbxrbUfzH3WMjNy2kiSjQwcV3XanxkiaKal6ZRs3btD48WO0bt3aBtfi2l2onNNOUvp/nzKfC/x+X+2a84n8xw63fVhKpS2tfoahzMm3mA/Lxp+mwMBB8VtPMwj227vWcyU31h3KBPYfrLJx42s9X3bGWfW+Tvmo0WY1k3f5z/J9sUAZ9/1b7Q/cV5m3TZJnq/0DWSg3VxXHDlfxn29UwQv/TzuWrtCuz79RcEDD7WiSFOraTcGevSRJrtJS5Y4eId/n86O6FnsG99o18lZVTRrp6fIfNjTieeWnTzSPU19/TbK0VyN5LV78ja6++jI99dTjOvPMU21t9wAAAIkooQOjrUW7zeOOWdlxXEliKDvrXAX69JUkufPzlf70E3Wem/r2DPO4/KRTbF8rn3CmKo4+VsdLmiUpzVW5f9r69b9p/Pix2rBhfd2LMAxlXXeVUr5YEL7f2JO1650PFKpaW8Xxo8z5Mr5vvpZ786ZYvs2kkvLebLO9yfD5VHzzPxq4IvHVHO5eceTR8h96eL3XlPx1kgzLTogVhw01f57qlJmp8hPGmA9zTz5Rbe6+w2xpk6Rg5y4quv1O7fhqiXYsX6uCaW+o5OZ/qGLUiQpVDZOPRcWI481j35LFyj35RGWfM0Ge5T/HfC84T8qHH5jHFUOPrPM/BlQcPUyhvI6SJM/WLbXmziE5zbT8h5xly77XE088GsfVAAAANCxhAyO/369dVTtGuSS1z8yM74ISgderkj//n/kw/fGHI1YZ1WxHs1b8SJJcLu2+5wEZ6ekaLulNw1BKVcCzbt0anXLKaG2qYzvotGeeUOrMN83HxX+7RYVPPy9Z/v0YbdtVzoWpkvLebCGCQEBt/vVP82Hp+Rcp1LtP/NbTTKyDryWpJIqWr2Df36ns3PPNx2XnXxTVa5WdfkbE54M9e2v3vQ9q59ffq/SyqyrDp6pgtCmKbr1DJdf8WYYlKEh9/z21PfpQZd5wjdxVg7SxZ0r5ONyOVjH8uLpP9HpVNv408yFtaZCk999/1/b43//+l9auXROfxQAAAEQhYQOjHTu2m8cdJHlSU+o+OYmUnzqhwSojWzvakUfLaNuu1jmh3n1UfNMkSdJISW8Eg/JVhUZr1qzW+PFjtKXGh1/v4m+UeevfzcelF1yskuv+EvGDuK0tbfbMGL7DPZ97y2alPf9f5ZxxirwrlkuSQplZKrn+/xq4svE2bdqoU089SSeeOEI//LCsxV5HkgIHD5GRUvl+rThmWJ1tOzUV3TFFRbdM1u4HHlH5Kac1fIEk/1HHKti1W/i1++2twoef0M4vv1XZeRdIzT0sPz1dxZP+qZ1ffKuyM86SUfWz7wqFlP7ic2p3yKDKAebbtzdwIzhOeblS5n1mPqw4dkT9p0840zxOfXeWZGmxRvJZvXqVVlT9vq9WWlqqm276s4zq+WsAAAAJJmEDo23btpnHHSXJ66vz3KQSRZVRzd3R6lJ66eXyH3yIJOlESdNDIXndlaHRr7/+ovHjx2jr1q2SJFf+LmVfcr5cVYN+/QMHqej2u+q8d4WlVcg3/zO5CvKj+/72RIYhz/Kflf7gf5R7wjC1H7C3sm68TinzPjVPKb36OhkdOrTIyxcVFenssydo3rxPtGjRQo0bd4K+/PLzFnktqXLeVsH/3lbRP25X4ZPPRn+hz6fSq65V2VnnRn+N16uCF6ep5E9XqOCZF7Xrs68qP6hb2ttaQqhbd+2e+rh2zZ2nCsvQY1dJiTIe/I/aH7iv2ky6SW7LEG84m++rL+QqKZYkBfr0VajvXvWeH9hvoAL7/F5S5c9F6jtvt/ga0bwMw9AXXyyIbUOIOnzwwXvmcb9+e8tVFTZ/9NFcvfHG/5p8fwAAgJaQwIHRVvO4k2Ru1Y76q4zc63+T75tFkiTD46ndjmbl9argpWkK7DtAkjTOMPSqDHmqdqZauXKFTjttrLZv26asa66Qp2ogdig7p7INrZ7qjVC37vLvP1iS5AoElDL3/cZ/wxaGYWjVql/1+uuvadKkm3TiiSN06KGDddxxR+vUU8fq/PPP1jXXXK5Jk27S3XffoQ8/fD+u//XW/ds6tT12qNodOUSZ/7rN/HdjVT72ZJVcdlWLvH4oFNIVV1yiZcu+N58rLCzQhAkna86cd+u5smn8hx5eGYJVDVtvScEBA1U8+W5VjB3X5N0IG/PaBdPfUv60NxT4w37m867SUmU8+ZjaHTywslVt9apWXVddMv/6F3Xo1l4Zd98R76U4jm1+UX3taNVcLpWdFh5+nTZ9WkssCy1o8uRbNW7cCTr66EO1cOFXTbrXnDnhwOjSS6/QRRddaj6eNOkm7dq1s0n3BwAAaAkuI4FqoXfsKFIoVLmc1157VVdd9SdJ0kRJT916h0qvvCaOq0ssqdNeUfbVl0mq3P1p56KlMrJzlP7Yw8q89W+SKtuBCl57s8F7ubZvV+7JJ5jtUf/P49HZoZBCVT8aR/buo4/XrFb1R/GCZ19WxeixDd434/571OauyZKkspNO0e6nn4/xu6wMiBYu/EoffzxXixd/o8WLv1F+HVuk12X8+NP1n/88pDZt2sT8+k2Vden5Sntzhu05w+OR/7Chqhh1ospHjVaoauetlnDbbf/QI488GF5PVrZ27y6UJHk8Ht1//8O6+urLtG3b7rpugWgFg0p5521lPPAf+SwBnSQZbrfKTz5Vxf+8Q6HOXeKyPO83X6vtCcPNxzs/+ULBP+wbl7U4Udsjh8hbNdy84JXpqhgxssFr3Bs3qN3gP8hlGDJcLu1c8pNCXbqaX8/Ly+K9l6C+/PJzjRt3gvkfHDp37qIPP5yvvLy8mO9VWFigffbpY+6K9t13PysrK0tHHDFEG6uqEM8661w98MAjzfcNoEG8/4D44L0HtD6326X27Rs3EzphK4y2W2aAdJIkX8u2mDhNXVVGqW9H145mZXTooILXZ5r3mxgM6gWPxyyZn7dmte6tOrfkT1dEFRZJsu1glfLhB1JZWVTXSdLatWt0zz13aciQ/TV27PG6775/6+OPP4w5LJKkGTOm68QTR2jVql9jvrYpPCtXKPUty7+P0Sep8OEntOPHX1UwY5ZKL72iRcOil19+wRYWXX751frww3nq1au3JCkYDOqaay7XvffeW8cdEBOPRxUnnaL8D+ep4JXpZrunVDnjKG3GdOWMHxPT+6A5pT9p35Ep44F74rIOJ3Kv/80Mi4zUVFUcfmRU14W6dpP/iKMkSS7DUOrr01tsjWg+JSUluvbaK2zVqZs3b9Kf/nSBGfrE4uOPPzSvGzhwkLp06arMzCzdffd/zHNeeeVFLVgwr+mLBwAAaEYJGxhZW9I6SjKYYWQXYZaR5+ef5Pvma0nV7Whj6rq6llCnziqYMUvBqgDj7EBAf7O090yS9GX/fVT8j9ujvmew/z7hUKu4SCnzPqn3/N27C/XKKy9q3LgTdPDBA3XPPXdF3EGmbdu2GjZshG644Sa9/PJrmjdvod5990NNm/aGnnnmBd1//8O67bY7Nd6yS9FPP/2g448/pkXbsGrKeOBeuao+cFQMG6HCZ19S+YQzIw4hb24LFszTjTdeZz4eNepE3XLL7erdu49mzfpA+1a1IUrSjTfeqNtu+weDV5uLy6WKESOVP+t95b/xjm3GkfeXlcp46L5WX5J74walvv2m7bnUt96QZ+WKVl+LE6V8FN4dzX/YUCkjI+pry063tqWxW5oT3HXXZK2uaiPNyGhj/seT+fM/05Qp/4r5ftb/3Tn++FHm8ahRJ2rMmHHm47/85VqVxSlQBgD8//buOkyq6g3g+HdquxdYuru7u0EklZJQFCSEH6AIIgISKraECBKSgkhKlyiNdHfndsfU/f0xy7DjBrvL7s7Kvp/nmWdn7tx77pmFs3fmnfe8RwiRlGw7JW348MGsXr0SgJ+BHl//YFn1SDxjNOLdoCba+De2xmLFrff1TZoRtmZjSkcnSX3nNl4d26J59BAD0Ah4WrmheOEi7N53GDe31KezuX76CS7xWS4xffoT+e0s63NPnjzh5MnjnDp1gpMnT/DPP0eIiYlJ1IaHhycdO3amYcPGVKtWg6JFi1nfwD/PypXLGDt2NHFxcdZto0ePYcyY8Wgysd6N+tZNfOrXQGUyARCyeRfG2nWec1TGuHnzOm3bNrdmY1WoUIk//thh8+8WHh5G3749OXz4oHVb+/av0q3b69SpU588efJkSV9zCuef5+L28VgAFAcHQvYdxlSyVJad33XqJFxmfZdoe2z3XkTMTrzSorDl8eYb1tUeI6d+Tsy7w1J9rCoyAt8KJVHF/20L3nsQU0VLwFbS8rOfY8eO8uqrra0B9O+/n8ODB/f56qtnizwsXbqKtm3bp6o9k8lE+fLFCQkJAWDnzn1UrVrd+vzjx49o0KCWdarw6NEfMm7chIx6OSIFMv6EsA8Ze0JkvReZkpZtA0Y9e3Zlb/y3upuAJvMWpXqp7ZwkYS2jhCK+mUls3zfT1abmxjW8OrZDHeDPDaAq8HRB6D59+vNtgqDPv4WHh7Fq1QoePHiAVqtF9+Qxbr/9igbQuLgQMWwkFy9f5OTJ4zx4cD/ZdtRqNc2bt6R79160adMeZ2fndL0WgNOnTzJgQF/u379n3da8eUvmzl2AdyZl+7iNeg/nFUsB0DdqQtjaPzLlPP8WEhJM+/YtuXHjOgB58vixY8efFChQMNG+sbGxvPvuALZt25zouRIlSlK3bn3q1q1PvXoNKFSocKqDdCIJJhNer7REd/IEEP9/4vdNkBW/06gofKuVQx0fQIwePsoaPFI0GoIPn8RctFjm9+NFGY04z5+L+vEjokd9kCWZegDo9fiWLYY60vLmNvjQiTQH+9wHD8BpnWUlrOjB7xE15TNA3jRnNzExMTRv3sD697NZsxasWrUORVHo3fs163sSDw9Pdu36i2LxGbQpOXLkMB07Wupd+fnl5cyZy6jVtsndixcvYOzY0QDodDr27j1ImTJlM/KliSTI+BPCPmTsCZH1XsqAUcuWjTl79jQAR4Aym7ZjqFvffp3Lrv6VZQSWD4FB56+j+Pqmu1nN5Ut4vt4JzZPH/NyuA4MSBBUWLlzGq692SnTMn3/uYdSo96xFPNOjXLkK9OjRm27duuPn55fudv4tKCiIwYMH8Ndff1q3ubm507Rpc1q3bkvLlm3IlUHL2qvv3cWnTlVU8TUrQtdvwdAgdTVPXoTBYKBnz67s3/8XAE5OTmzcuI1q1Woke4zRaOSTT8awcOHCFNtu0aIVy5atRpvJy9W/zDTnzuLduok16yx89jziuvfK9PM6LV6Ae/yHUVPRYgQfPoln9844xP8/+XfmX7YUG4vHuwNwjP87pG/Y2JJBmQWr4ukO7seri2W1SVPhIgT/czbNgT7d3l149exmaSOPH8GnL4FWK2+as5mEiwS4ubnz999HKFiwEADBwUG0bNnY+sVDhQqV2Lp193O/zJgyZSKzZ38PQN++b/LNNzMT7WM2m3n11Tb8848ln7d585asWrUu0X4iY8n4E8I+ZOwJkfVeyqLXCWsY+QEmO60slO39q5YRgKFB4xcKFgGYypYj+PBJgv45S6dfVtClSzfrc++/P9wmKBQREc7774+gR48uaQoWOTk5Ubt2XQYPfo/58xdz/Pg59u07xNChwzM0WATg6+vLqlXrGDnyA+u2yMgINm/eyIgRQ6hQoQSvvNKKmTO/5fLlSy9Uz8dl1nfWYJG+bn0M9Ru+cP9T4/PPp1qDRQCzZ89LMVgEoNVq+fnnn9m4cRujRn1A3br1cXR0TLTfnj27WLJkUYb3OScxVapMzMAh1sduk8ajCg7K3JOazTbFrmMGDgaNxuZvhtPqlagTZN9lN6qIcDx7dbMGiwAcDvyNc4KC7pkpYf0iffOW6coKMzRuhjm3ZZqnxv8JDvv2ZFj/RMY4ceIf5s59FjidPHmaNVgE4OPjy8KFS3FwcADgwoVzfPTRB4na+bedOxPWL2qX5D5qtZqvvvremnm0d+9umy83hBBCCCHsJVtmGCmKQsGCuTAYDABEAVF3nsALTEt6qf0ryygiE+o9hYWF0qxZA+u3qw0bNub33zexf/9fjBr1ns10L19fXwYMGISDgwMmkwnl2hV0a9dgBIweHvh98inVq9ekbNny6HRZX8x827YtTJ78sbWoaVJ69+7Ld9/NTvM0LPWjh/jUqoxKrwcg9LcNGJo2f6H+psbOndvo06eH9fGHH47ngw/GperYf3/TExsby+nTJzl8+CB79uzi2LEjgKXY+NGjp/Hy8s7YzuckkZH4NKqNJn46Zswb/Yj8bnamnc5h9w48e78OgNndg+Azl1Dc3EFR8OrYFt3Rw5Z+DBhIZIIVm7ILVUAAnr26oYvPNk1I0WoJ3bwTY/WamdoH76b10V48D0DY0lXoU1m75t9cJ32MS3xAIq5NO8KXrZZvWbOJ2NhYWrZsxNWrVwBo3LgZa9ZsSPLv/5Ili2wWFPjuu9m88Ua/JNu9desmdepUBSxfkFy+fBuXFAqmjxr1HivipzJXqlSFXbv+SjR9TWQcGX9C2IeMPSGy3ks3JS00NITSpS2rdbkBYd7eBF25Y9/OZXPaY0fxGDoQY+nShC9aDk5OGX6OI0cO0blze8xmMwA1a9bm+PFjNvt06NCJGTO+JXfu3M82xsXhW674sxog+w5jKl8hw/uXFoqicOXKZXbu3M7Onds4fvyY9XU9NXPmXHr2fCNN7bpOGIvL/LkAGGrUJHTrnkyvU3Pv3l1atGhoLXLdokUrVqxYk+oPGilduGNjY2nYsDZ3794GYNCgIUybNiMjup1jOWzfime/ZytnhWbidFvP1zrh8LclUyFh7RwA3d7dePXsCliWig8+fg6zX95M6Ud6qO/dxbN7Z7Tx9WQAIj+ehOOObeji/+6YihYjZO8BSxAsM/rw6CG+VSy1ZBQHBwIv34Y0FP1PSHPzOj51LcWOFZWK4H/O4lujorxpzgamTZvMzPjVC11cXPn77yMUjl8x9N8URWH48MH89tuvADg6OrJp0/Yksznnz/+RCRMsgfvWrduyfPlvKfbj0aOH1K1bzbr4w48//sxrr/VI8RiRfvKhVQj7kLEnRNZ76aakBQYGWu/nAcwyHe25jLXrEHz8LOErf8+UYBFA3br1GTnyfevjhMEib29v5s1bxMKFS22DRQCOjuhbtnr2cGvWFIBOiUqlomzZcowYMYrNm3dy4cINZs36iYYNG1v3mTRpvM3/xee26e+P89LF1sfRoz/M9GCRXq9n0KA3rcGi/PkLMHv2/Az7VtrJyYlJk6ZaHy9a9DPXZCn2F6Jv2564dh2sj90++B/EZ6Slheb6tRSntGkuXbQGixS1mph33rV53tCsBYZqlgCGKi4O5zmJa6vYi+bKZbw6tLYGixS1mohvZxHzv/cJn7sAc3yASHP7Fm4fjcm0fjj8+WzqmKFO/XQHiwBMxUuib9IMAJWi4LzslxftnsgAZ86cstYYApg0aWqywSKwXDu+/PI7ypWzfOkRFxfHW2/1ISAgING+O3Zst95PbjpaQvny5Wfw4Gcr8H3++VRiY2NT8zKEEEIIITJFtgwY/bt+UXb61june//9cdSoYTsFpF27Dvz99zG6dHkt2Slc+gQfkB22bcnUPqaHr68vPXr0Ztmy1RQqVBiAkJAQJk0an+o2XObOQhX/5t5QuSr6lm0ypa8JTZ06iRMnjgOWekTz5/+C7wvWr/q3Dh06Uj++DpPRaGTy5I8ztP2cKPKzLzG7WoIP2qtXcPkxbcEaly8/w6d+DXwrlcZ55ncQX0g7oYS1i/TtX8X87w/BKhXRo8c+23/pIlRpCJBmFu3J43h1bIPm0UPAktkTvmApsX36A2AuUpTIr76z7u+0eiWO69ZkSl8c9uyy3tc3b/nC7cW8NdB632nFUoiLe+E2RfopisKECeOs2aUNGjSif/8Bzz3OxcWFxYuX4+npBcDDhw8YOLC/dRo9WFYMPXz4gPVxq1apux68995I69/we/fusmjRz6l9OUIIIYQQGS5bBowCA599U5cHMOXLb7/OCBs6nY558xZTrVp1SpYsxdy5C/jllxXPLVKtb9EKJb5eke7cGTTxtSKyG1dXV778dLr18Zo1q1JVfFQVFITz4gXWx9GjxmR6dtHWrZuZN2+O9fHHH0+mdu06GX4elUrF1KmfW4OBu3btsC4vLdLHXKAg0WOfBSNdvv0SdQo1tRJy/HU5rl9/AYDKYMBt2iS8OrdHffuWdR9VQABOv6+2Po5+d1iidgD0rdtirFDJckx0NC4/ZV49pdRQhYbg2fs11CEhAJhd3Qj7dS36Dh1t9ovr1p3YBCvMuY0ZhfpuBk9bNhrRJRj7+hatUtg5dfSt22LKXwAAdWAArJOVsDJSZGQk169fS/WiBVu3buZofB0vrVbLN9/8kOrszOLFS/DTTwusfxcPHTrAp59OsD7/5597MMYvflC5clXypfJ9jLu7h039ue+++4qQkOBUHZuQwWBg+/atzJz5bYr1+oQQQgghUpItA0YJU7v9AHNeyTDKTgoXLsKOHfs4dOgE3bp1T1VhaMXD0+YDl8u3X2ZmF9MnKgr3gW/Sc0BfXvd+Vth5zJiR1poSyXGeNwdVdBQAxnLl0bd7JVO7evv2LUaMeLbiVps27Rg6dHimna9SpSr07t3X+njixI+sH4ZE+sS8MxhDpSoAqGJj8ezV7blBD92Bv3F/f0Ti7UcP492sAU7Ll4CiWLKF4rNXDNWqY0wukKhSETX62ZQup4XzUaXjw2lGcfxjI+pgy/nNPj6ErfsDQ6MmSe4b+cXXmIoUBUAdEY7HkHcgA/9Pao//gzo8DABT/gKYypTNgEa1tgsS/Phj8vuKVLt37y4TJ46ncuUy1K9fgxEjhjw3aKTX65ky5RPr4wEDBlK8eMk0nbdFi9Z89NGzNubPn2utbbRjR8LV0dqmqd2+fd+iWLHigGXBiR9++DbVx164cJ5PPvmIKlXK0K9fT6ZNm0yXLq889xomhBBCCJGUbBowejYlLQ9g9pMaRi+D6P89q3/kuP73bJVlpPL3x6vrKzhttHzjPzMkBK/4527fvsV3332V9IFxcTj+uhznBfOsm6JHjYFMXNkmLi6OgQPfJDz+w2yhQoWZOXNumld0S6uPPpqIW3ztmKtXr7BkycJMPd9LT6sl8psfUDQay8ObN/Dq0BrN5UtJ7q65dhWPt/qgig+KGCtUIur9sdbj1VGRuI8ejkffHjglyHaLGTQ0xWw3/SsdMcYHQ9RRkXj264XD1s0ZGnxJLccNa633o0eNwZhEIeGnFDd3wuctQtFqAdD9cxTXTyeg27sbhz82WMblz3Nx+e4rXD6fgm7vLkjDGg8OexNMR2vRKsMyBmPe6G/tMwcOoLlwPkPazYlOnjzOoEFvUrt2FX76aTaR8QsrrF69kmXPqRG1dOkia+aNp6cXo0d/mK4+/O9/7/PKK88y4D744H+cOnWCPXt2Wre1afP8+kUJOTg4MGHCZOvjBQt+4m4KweSgoCAWLPiJli0b06xZfebNm2NTf+/hwwesWbMqTX0QQgghhIBsukramDGjrB9GZwF9l/ya6RkbImt49OqGY3xdkNiurxHx0yI798hSPNizZzc08SuBPTUfeFomWKvRsHvPAcrHr+6mCgvFaclinH+ei+bJY+sxxpKlCNl/DOI/xGeG8ePHsCA+QKXT6fjjjx1Uf4GlxdOyWsXMmd8xbdokwFLo/MiRU3h7+6T73AIctvyBx7tvoYovfG328iJsxRqMtZ5lBakCA/Fu1xzNndsAmPzyErrjT8z5C6A9fRL3YYPQJlGM3JQ3H8EnzkP8dNDkOK79zZKh869jY9/oR2yf/pgLFHzBV/l86ieP8alcBpWiWFYRO3M5VQseOP/wDW7TP03VOeI6dCLiy+9QcuVKeUeDAe9WTdBetARzwhavQP/Kq6k6R2q4D3zTGpyO6f+2TU0mkTKz2cz27VuZO3eWdTpZUpydndm58y/KJJEZFhYWSp06VQmOz2abPHn6C2VoRkZG0LZtc67Gfwni7u5BREQ4AHnz5uPMmctpDugrikL79i2sNepee60HP/74rJ6RwWBg797drFq1gp07t9nUT3rKxcWV6PjM1xIlSnLw4PEMWxDhZSArNQlhHzL2hMh6L90qaYkyjGRK2ksjesxH1vuO69faPctIe/QIXq+0tAaLFLWaqHET0DdqyjtAg/j9jCYT4zq3R338GK6TPsanWgXcpk2yCRaZPTyJ+G5OpgaLrl+/Zg0WgWVFnxcJFqXVoEFDKFy4KGApCv51fC2d7OT+/XusX/8748ePoWXLxtSpU5WtWzfbu1vJ0r/yKmGr1llX/lKHhuL1eid0T+tExcbi+WZva7BIcXEhfPlqzPG1cIxVqxOyez/RAwcnajvm7UHPDRYBxHXuRsyAgSgJPtRqHj/C9ZsZ+NSoiEef7uj27X3BV5oyx43rUMV/f2Go3zDVq2PGvDcSfYNGqTvH5o34NK5tyaBKiqLgsH0r3k3qWoNFilaLoXHS0+LSK/atZ8E5x99Xo4oPLoiUKYrCiBFDePPN3omCRY0aNWHJkl8pW7YcADExMbz77oAkVxn7/vtvrMGiwoWL8Pbbg16oX25u7ixZshJ3dw8Aa7AIoFWrtunK/lSpVEyaNM36+PffV3Pu3BkuXbrIpEkfU7VqOfr27cGWLZtsgkVOTk507foaq1ev58yZS9Y+3bhx3WaanBBCCCFEamTLDKMOHVpz7NgRAP4EKp29kuoPDyL78+j9Go67Len6sV26ETFv8XOOyBwOf2zAY+hAa60XxdmZ8HmL0bdtD4qC4++ruTt+DNXDwnj6dvxHYMi/2jH55SVm0FBi+72JEr9qTmZJmH3XpEkzfvttwwtPRUvrNz2bN29iwIA+AGg0Gv766wilS5d5oT68iOjoaFauXMrRo0f455+jPHz4INE+Pj4+nDlzBUdHRzv0MHW0Z07h2bMr6qAgABSdjohZP+GwcztO8auAKSoV4b+sTDbjUvf3PtxHDEHz8AHmXLkIPvAPik/qV81T372D0/IlOK9YijpB4P6piBnf2gQ7MpJXuxboTvxjOc/XP9jW+nkOlb8/7uPeR/3oAYqrO4qbW4KbO+qHD2yKgAPEdu9F5PQZ1jGrPXMK18kTcDi432a/mL5vEfnNDy/24v5NUfBuXAftlcsARHzxDbEDBj7nILFjxzb69u1hfazVaunS5TUGD36PSpUqA3Dx4gXatGlKXPzf9YEDBzN9+rOaeXfv3qF+/Rro4zP65s9fTOfO3TKkfzt3bqNPnx4225YvX03r1mmbkpZQv3692L7dsrKoq6sbUVGRSe5Xo0YtevZ8g86du1pXbwOYMmUis2d/D0Dt2nXZvHlnksfnRJLlIIR9yNgTIuu9SIZRtgwY1aldhVvxK/5cUKnI/SAIntZ8EP952pPH8W7bHLB8AA75+2jGFJRNLUXB+ac5uE7+2JrRYM6Vi7Dlv2H8V7aOKiSYb17ryBfnzgLgAVwC8gPGMmWJHjqCuK6vQxYEIoKDg6hWrby1eOn69VtokMrMipSk9cKtKApdurzCoUOWJaObNWvBqlXrMr2GUlLi4uJo374l586dee6+P/74M6+91uO5+9mT5vo1PLt3RnP/XpLPR376GTFD3kuxDVVEOA57d2OoWh1zfFHoNDMYcNi+Becli3H4+9lKYYqLC8F/H8VcuEj62k2G+s5tfGtZPvArWi1B56+lKdCVGrq9u3Af+R6ax4+s20z58hM1eRoOu3YkCiiZ3T2IHvkBMYOGZMr4dlo4H/ePPgDAWLYcIX8dyfSVFf/LYmNjadSoNnfiM+3atevAF198neTqYwsXzuej+N8twIoVv9GqlaXw9ODBA1i37ncAatSoydatezL0b9fXX3/Bl19+BlimxV26dAsXF5d0t3ft2lUaN66DyWRK9FzevPno3r0XPXr0plSp0kke/+jRQ2rWrGTNQtqyZRe1amX8apr/RfKhVQj7kLEnRNZ76aakBSZYJS1XrtwSLHrJGKvXJK5lawBUioLLN5k/rUn9+BGOa1bhPmIIPtUr4DZpvDVYZCxRkpCtexIFiwAUbx+GbtlNyQKW6T/hQGMnJxYMHUHg3oPE9eqTJcEigKVLF1uDRRUrVqZ+/YZZct5/U6lUTJ36hfVD1p9/7mHlymV26cvMmd8mCha5urrRuHEz3n9/LG+80c+6fckS+9fLeh5TyVKEbt6JMYmMrZj+bxMzeNhz21DcPYjr1DX9wSIAnQ79q50J+30jQUdOYYyf5qOKjsZt7Og0FY9OjYTFrvVNm2d4sAjA0LwVIX8fITZB0FDz6CEe7w6wCRYpGg0xbw8i+OhpYoaPzLTxHde9J7i6AqC9fAndkUOZcp6Xxdy5s6zBIi8vL779dlayS9UPGDCQtm3bWx+PGDGEJ08ec/LkcWuwCGDy5M8yPNA9evSHDBo0hFy5cjN58vQXChYBlCpVmv79B1gfOzo60rlzV1atWsupUxeZMGFyssEigHz58tO16+vWxz/+OOuF+iOEEEKInCXbZRhFR8dQuHAeALRAZJWqhO/6274dExlOe+oE3m2aAfFZRn8dwRT/oTRDKAq6P/fguGs7uv1/oU2mVpKhVh3Clq167gfUAwf+pmvXDjbbypQpy4cfjueVVzpmeiHRuLg4atSoiL//EwBmz55H9+69MqTt9H7T8/HHH/Lzzz8BliDNvn2HKPIiQYo0unbtKs2a1bdOLXn33aF0796bcuXKo40PMj958oRq1cphjF/xa9++w9bC5dmZKjgIzzdeRxdf8FbfrAVhK9bYLXiu/ecoXh1aW4Os4fMXE5dB03gAvJvUQ3vpgqXtOfOJe71nhrWdFIfNm3D/cCTqBCtJAcS1fYWoiVMwlSyVqed/KvcnY2CepSZZbOeuRMz/JUvO+1/z4MF9GjSoSXR0NACff/71c+sOBQUF0axZfR7HZ5Q1adKM2NhYa+2jDh06sWiRfQLdaWU0Glm5chlarZb27Tvg5eWdpuMvXrxA06b1AEvA//DhkxQvXiIzuvqfIlkOQtiHjD0hst5LlWEUGPgsuyg3QDLfIIr/NmO1GsS1agPEZxl9OyP5nRUF4jNrUstp0Xy8enbFeeH8JINFZjd3Yt56h9DfN6Uqm6Fhw8Z8/fUPeHh4WrdduXKZt9/uR4sWjdi2bQuZGXvdsGGtNVjk55c3w2puvIiPP55MyfgP1lFRkQwfPjjJaRNpYTQaU/V7NJvNfPDB/6zBoho1ajJ58nQqVapsDRYB+Pn52Sx5/bT+U3qtWrWC0qULU6tWZT755COOHDn0wq85KYqPL6FrNhE9YjTRw/5H+MKlds20NNaqQ+ybb1sfu308FlVoSIa0rbl8yRosUpycsmRFTH2HjgT/dZS4Dp1QVCoM1aoTun4L4Ut/zbJgEQBDnlVEc9zyB6onT7Lu3P8hkydPsAaLypevaJNxkxxfX1/mzJlvzSD6668/rcEinU5ns2x9dqfVaunX7y169+6b5mARQPnyFWjevCVgmVL800+zM7qLQgghhHhJZbuAUcIV0vwAs58Uu35Z2ayYtnE9msuXbJ5XRYTj/OMsfKqVJ1exfDj/PDdV7aoCAnD9bKrNNsXBAX2DRkSNm0DIll0EXb1D5Ixvwdk51f3t1+8tjh8/y+jRY3B1fRahvXDhHP3796JFi0ZMmTKRTZvWc/funQwLICmKwrx5P1ofv/POuzg4OGRI2y/CxcWF2bPnoYlfFe7IkUM2/Uyr7du3Uq1aeRo0qMnp0ydT3PfXX5dz+PBBwPJh6uuvZ1r78W8JP1yuWbOayMiki8Y+z6xZ3zNixBBCQ0O5c+c28+bNoWPHtlSqVJr33x/B3r27rAGsDOHmRtSEyURNmooSv4KaPUV9PAlT/OID6gB/XKdOypB2HTc8myIU17pdlr1WJXduwhctI/DWI0J37MOQAfXA0qxKFQy16wKgMhhw/mUBxMZm+JS//7IDB/5m48Z11seff/6VTVA4JY0aNWH48FGJtg8YMDDHZdgMHTrCen/VqhUE/iu7TgghhBAiKdluStqOHdt4443uALQG1o2bQPToD+3bMZFpPPp0x3HndgBiO3Ul4udfUD95jPPPP+H0y0LU4WHWfRWNhtCd+zBWqpJim27vj8B52S8AGIsVJ3LGt5YPZS9YSyKhoKAg5sz5gUWL5lu/+f43X19fqlSpRtWq1WnUqAn16zdMV72MhNPhnJ2dOX36Et7ePi/U/4ReNDV4xozpfPONJUPMwcGBXbv+ply58mlqY/v2rQwY0Mc6dczNzZ2VK3+nbt16ifYNCAigQYMahIaGAjB8+Cg++eTTZNtWFIWGDWtx7dpVAL7++gf6pWEFLkVRmDJlInPmPH+lLHd3D4oXL4G3tzc+Pr74+Pjg7e2Dj48PefPmp0mTZri5pS8dNCNcunSRQ4cO0Lhx0xTrniTHYcsfeL71hvVx6MZtGOo1SH+HFAWfOlXRxC9yELZoOfoOHZ9zUNocO3aUGTOmUalSFT755NNkA4v2kDu3O+FzF+Ax1HaFNEWjQXGNX+XN1RWzby5i/jcafYvWduqpfRiNRlq0aMilSxcB6Nr1dX76KW1ZggaDgVdfbc3JkycA8PT04ujRU/hkQp2s7ExRFFq2bGyt+TZmzEeMSfClTU4k02KEsA8Ze0JkvZdqlbQVK5bxv/8NBaAvMOf7OcT27mvfjolMoz1zCu9WTQBLLaO4zl0tUzOSydQwVKxM6I4/QadLur1zZ/Bq2dhaayVs5Rr0LdtkTucBf39/Zs36jl9+WWBdxjk5TZs25/PPv6JEibRNeenTpzs744Nqb775Nl9++V26+5uUF71wGwwG2rVrwdmzpwGoVKkK27btSXUW1M6d23jrrT7WVXyecnZ2ZsmSX2natLnN9sGD32Zd/DLzhQsX5e+/jzy3sOz8+T8yYcI4a/927/47VcE7o9HIBx/8z6aod/36DRk6dDg7dmxn+/YtNlmRz5M7dx4+/HA8b7zRL9VZEhnh0qWLfP31F/zxxwbrttat2zJs2P+oW7d+mgKZHv1747htMwDGkqUI+fNQugtDJ6xlZnb3IOjCdXBySldbSdm7dzdvvfWGtVj8Dz/8SK9efTKs/ReVO7c7AfcD8a1WLlE9pX8zu3sQfOZStsg2yyo//zyXjz8eC4CLiyuHD59IttB1Sm7dukm3bq/y4MF9Zs6cS48evTO6q/8Ja9f+xpAh7wCWLzROnryIcxqybF828qFVCPuQsSdE1nupahgl/PCVBzDlzWu/zohMZ6xSjbg27QBLLSOn9WttgkXGEiWJnDgVJf5DpO78WZznJrPKi6Lg+vFYa7AormXrTA0WAeTJk4epUz/n1KlLLFy4jBEjRtOoUVObWkdP7du3l8aN6zJt2mSioqJS1f6NG9eswSKwFHbObnQ6HXPmzMcxPmhw7twZvk2pJlUCu3fvYMCAvtZgUZEiRcmd21L0PiYmhj59urNt2xbr/nv37rIGiwC++uq7VK1C1L17L+sHo3PnznDy5PHnHhMbG8s77/S3CRa1bfsKq1ato3XrdnzzzQ+cPXuFTZt2MHjwexQuXPS5bQYE+DNmzEiaNq3Hjh3bMrXuFVjqbA0c+CZNm9azCRYB7Ny5nU6d2tG2bTM2blxnze5KSFEUgoKCOH36JHfv3gEg8vOvMMcHLbTXr+Hywzfp7p/j+gSro7XvkKHBom3bttCvX09rsAjgq68+f25gN8s5OhLx/RyMpctg9vZGSSbQqo4Ix/G3VVncOfsJCAhgxozPrI9Hj/4wXcEigGLFirN//zEuXryZY4NFAB07dqFgwUKAJUt29eqVdu6REEIIIbK7bJdh9PHH45g3bw4AXwJv7zuM6T+wqpFIv4RZRk8ZatQievgo9G3bg1qN8+wfcJvyCQCKoyMhfx5KVJzWccNaPAZZphopWi0hfx/N2gK2CZjNZm7fvsmpUyf5668/+e23XzGbzdbn8+cvwJQpn/Hqq51TzO748MNR/PKLZQpGmzbtWLZsdbL7pldGfdPz00+zmThxPABqtZrNm3dSs2btZPffu3cX/fr1stb9KVKkKBs2bCUuLpZu3Try4MF9ADQaDXPmzKdt21do3Lgud+/eBqBbt+7Mnbsg1f373/+G8uuvywHo0aM3s2b9lOy+ERHh9O/fmwMHnq3Q2LPnG3z77axkM4MUReHevbsEBPgTEhJMcHAwwcFBhIQEExQUzO7dO3j48IHNMfXrN2TSpKlUq1Yj1a8jNa5evcI333zBhg3rEgWlKlaszIUL5xJtL1y4CK+/3pPIyAju3LnD3buWW2Tks/8bHTt2YcqUzyi+bTPuH42xvG4HB0L2HsRUukzaOmk241OtPJpHDwEIXbUWQ/NW6Xi1ia1f/ztDhw5MsiD59OkzGDhwSBJHpY7RaOT990dw4sQ/lClTjurVa1KjRi0qV66S5iXUkx17ej2qqEhUUVE4/fYrrl9Ms5y7VGlC9h+DTF6VMTsYNeo9VqxYCkDx4iX4668j1qC0SL+Ef6eLFy/BwYPHs9U0zawkWQ5C2IeMPSGy3ks1JW3QoAHWDIJfgFcu30rVKlbiv83lu69wWvQzxqrViB42EmOdupAwkGI04tWuBbozpwAw1KlH6MZtzz44RUfj06AmmvggQ/Tg94ia8tm/T2M3586dYezY9zl+/JjN9kaNmjJ9+gzKli2X6Jjg4CCqVStvzZBYt24zDRs2zvC+ZdSF22w207VrBw4dOgBYPoxs2bIbX9/E43fv3t3079/Lmu1RuHBRNmzYYv32+969u7z2Wkdu3boJWJaCrlu3vrXQtbe3NwcOHCd37typ7t/Jk8dp29Yyvc3JyYkzZy4nWQvqyZMn9OnTnTPx/9cAhgwZzuTJ09JVg+qpmJgY5s//kR9++NYmCAPQvv2rVKpUmVy5cpMrV25y585Drly5yJ07N25u7qk+7z//HGXu3Nls3fqHTYASLAHHMWM+onLlqly/fo25c2fz228r05xx4+Liygfvf8iHmzfiespSnFxftz5hG7amKZChO3QAr87tATD7+hJ09mqyU03TYuXKZYwa9Z41IFasWHHatevAjz/OBCBXrlwcO3Y23bWkVq1awYgRiQNOGo2GChUqUb16DapUqUaJEiUpVqwEefLkSfbfLzVjTxUZgU/lsqjj/8+Erl6PoVmLdPUdgKgonJctxpw3H3EZtNri2bOnOXHiOJUrV6Fy5aroXvDf8ciRw3Tq1Nb6b/jrr7/TIofVb8oskZERVK1anvD4+oCLFi2nQwbXDfuvkA+tQtiHjD0hst5LFTDq1qk9fx3cD8AWrZZaD4JsAwcix9KcP4d36yao4qfORMz4lti3LPUYXL76HNevPgfAnCsXwUdOoSQxLcyezGYzv/32K1OmTCQwMMDmucaNmzFgwEBat25rzWD5/vuv+eyzKYAlK2TPnv0vFLBITkZeuO/evUPTpvVtAiK5cuWiRIlSlChRkhIlSuHi4sKnn04gNjYWsGS2rF+/hUKFCtu09eTJY15/vROX/7V6HqSvFo2iKLRq1cRaa2nKlM8YPPg9m31OnPiHAQP68ig+6wVgwoRPGT58ZIb97gMDA/nmmy9YsmRRktPA/i1Xrlw0b96KVq3a0KxZi0TTHU0mE1u3bmbu3FmJApIArVq1YcyYj6hatXqi5wICAli0aD6LF/9McHBwkud3cXElf/78XL9+zWZ76SJFmXvvLs3jA1NRYz6yWfnwedzGjMJ5iSV7LubNt4nMgNpcCxfO46P4zCeAMmXK8vvvm/D09KJeverWrLVx4yYwOp2LKXTq1M4auEwNNzd3ihcvQfHixSlevCQVKlSkdu26+PnlTfXYc50wFpf5llUi41q1IXzFmucckYzISLx6dkV37Ajw4jXeIiMj+eyzT1m4cL41uOPi4kLNmnWoV68+9es3pFq1GjilcqphTEwM33//FbNn/2CdpppZmZU52dSpk5g1yzLeXFxcmD79S3r37psp15fsTD60CmEfMvaEyHovVcCocZ1qXLxxHYBjefNR9OwVO/dKZCcuX0zF9duvADC7uhGy/ygAPg1qoorPxIn4dhaxffrbrY/PExYWypdffsbChfMTZYHkz1+Afv3eonv3XrRr14InTx4DMHv2PLp375Up/cnoC/evvy63Fq5/noIFC7Fhw1YKFy6S5PNBQUH06NHFGuQBaNCgEevWbU7Xh5tly37h/fcty0uXKFGSQ4dOWNtZuXIZH344yjpFTq1W89VX39O375tpPk9q3LhxjWnTPmXLlk2pPkar1VKnTj1atWpLkybNOHRoP/PmzbVO00uoefOWfPjheKpXr/ncdqOjo/n999VcvnwRP7+8FClSlMKFi1C4cFF8fX1RqVQcPnyQcePet65Y9VQv4GsgPxA+dwFx3bo//4UYDPhWKoU6PkiV3tXWDAYDgYEBBAT4s2PHNr6KDxqDpbj5b79tsGa4rVy5jJEjhwGW1eyOHz+b5tUGb926SZ06VQFLRtHkydO4cOE8J08e5+rVtF2rihQpSpMmjalSpSa1a9elVKnSqJPJ0FLfvIFPverW+mzBR05iKl4yTecjOhrPN17HIf4LGYC4VzoSvnh52tqJt3fvLj74YCT3799LcT8HBwdq1apDx45d6NSpS7Krk/399z7GjBlpzSoEy7/T7t1/U6xY8XT1USTtyZPHNGxYm7CwUOu2Dh068c03PyQ7JmJiYvj11+X8+utyPD29+OabHyhSpGjWdDiTyIdWIexDxp4QWe+lChiVL1kI//jlsm9WrYbbzr/s2ymRvcTF4d28Adr4JdLjWrRCcXfHacM6AAyVqhC6cx/8B2oyXLhwnhkzprFz5/ZEgaOE/PzycuLE+VSvOpZWGX3hVhSFH374hvXrf+fmzRvJTnkqUKAg69dvoWjRYim2Fx4eRu/er3Ps2BFcXd3YtesvSqazNlVkZCRVqpQlIiIcgLVr/6Bu3fp88sk4Fi362bqfl5cX8+f/kmiFtsxw5swpDh8+SGBgIIGBAQlugQQE+NsUbX4enU5Ht27dGTz4PcpnQu03g8HAwoXzmDHjM6KiIq3bXYH/Ae/rdKjWbbFMKU2Bw56dePZ6DQBT/gIEn7zw3OlsoaEhzJkzk3/+OUpAgD+BgQGEhIQkuW+NGrVYtWotnp5e1m1Go5HGjetYM6Xee28kEydOef6LTuCLL6bybXzAunXrtixf/pv1ubCwUE6dOhkfPLrMzZs3uHHjhvX/2vN4e3tTq1YdateuR5069ahSpapNZo7HG6/juGsHANGDhhA1LXWF5QGIjcWzbw8c/vrTZrPi6EjQ+WsoCX5PkZER6HQOydYLCg4O4pNPPmLNGtsC3NWqVScwMJB79+4m2w2tVkuLFq3o1q07rVu3w8XFhcDAQCZP/pjffvvVZt9aterw7bezKFOmbOpfp0i18+fP8e67b3Et/loKkC9ffmbPnkejRs9qCoaEBLN48QIWLPiJwAQr+eXKlZtly1ZRo0atLO13RpIPrULYh4w9IbLeSxMwCggIJ6+fF+anS6K/2pm4hUvt3CuR3WiPHsGrYxvrt+0JhWzagbFuPTv0Kv3u3bvLsmW/sHz5kkRT1QDGj5/IyJEfZNr5M/PCbTabuX//HjduXOfGjWtcv36NGzeu4+LiyqefTn9usOgpvV7Pnj27KFOmDMXTmlnxL+PGvW8NDjVt2pzY2FiOHDlkfb5cuQosWbIy1X3LTGazmbNnT7Nz53Z2797B6dOnktzP29ubN998mwEDBuHnl/krSz5+/IjJkz9m3brfbbZ7Au87O9N3y25cK1ZK+mBFwX3QWzhttAR5o4cMJ+rT6cmey2w2s2rVCqZNm2TzgTU5DRo0YtmyVbglsfz8pk3reecdS/ahk5MTx46dIW/efM9tEyxT/2rUqGgtXJ6a2i+KohAYGMjNmze4efM6165d5cSJfzh16oR1SmZyHBwcqFq1OrVr16Vu3Xq0AvL06QGA2c2d4LOXUZJ4jYnExeHx1hs47t5p3WR290AdH8gK/+FH4uKnd86c+R3Tpk1Co9FQpEhRSpUqTcmSpa0/79+/y4QJY23+HXx8fJg69Qtee60HKpWKe/fucuTIIY4cOcThwwcTTWV8ytXVjVatWvP33/tspkN6eHjyySef0rfvm8lmXImMER0dzeTJH1sXVgBLvbihQ0fQr99bLFo0n2XLlhAdnfSqnk5OTvz444L/bA0k+dAqhH3I2BMi6700AaPr1+9RqpSljokX8ODdoURN/cKufRLZk+v4MbgsmGezLbZLNyLmLbZTj16cXq9ny5ZNLF68wBrA8PX15eDB48lO48gIOe3CfenSRZo0SToDpmPHLvzww4+4urpmca9S58mTx+zevZNdu3Zw9Ogh8uTxo3//t+nRo7dd+nzgwN98/PFYLl26YLPdV61m+JhxvDlkhM3KYZrLl3AbOxqHBDWAQnb9hbFKtSTbP336JB999AEnThxP8nm1Wo2Pjy+5c+chd+481K1bj6FDRyS7WpnZbKZ166bWKY79+7/NV1+lrnbSn3/uoUePLpbX5+vLmTNX0p31p9frOXv2NBcvnmbPnn0cO3aYoKCgFI8pW6Ycv0ZHUTU+gyfi86+Iffvd550Ij3f64bh9q3VT1LgJKE7OuE3+2LJL42aE/b6RXbu288YbqZhOmECXLt2YNu3LFIvPP3nymM2bN/L7779x4sQ/KbbXqVNXpk37IkuCnuKZHTu2MXLk0Of+HyxYsBA9evS2qXmmUqmYNGkaQ4a895+rgZTTrn1CZBcy9oTIei9NwOjo0VPUrWspzFoGOD5xKjHv/c++nRLZU2QkPo3roImvn6E4OxN88Djm+FW2/usuXrzA8ePHqF+/YbqnX6VWTrxwv/pqG44ePWx9rFKp+PjjyRla3DqnMJvNbNq0ni8//YTr8UWln8qTx48OHTqSP1duCp88TpG9uylgNpMfy5cChsbNCFuzIdHCBsHBQUyfPoXly38h4SWqQIGCfPTRJ1SsWJncufPg4+OT5iXB9+7dRc+eltXBtFotBw8eT1WNnHfffYv169cCMGjQEKalZUpYMp6OPUVRuHnzOkePHuHo0cMcO3aEG/G1/BJy0mr5xmhkCGAqWYqQA/8kP5XPaMRj0Fs4bt5o3RQ1egzR4z5B/fABPtXKo1IUFLWaM9v20KxHF0Ljp4M/T758+fnyy+9o06Zdml7vzZs3WLduDWvX/mbz+goVKsyMGd/Q8gUKcIsX8+TJY4YPH8y+fXsTPVeuXAXee+9/dO7cDZ1Ox82b1+nd+3Vu3rxh3ad//7f5/POvrIs2/BfkxGufENmBjD0hst5LEzDavn0P7dq1BKARsDm1BVRFjqTbtxfP3q+hMhqJlOBiuuXEC/eGDWsZNOgtADw9vZg3byHNm7eyc6/+24xGIxvGj+HLXxZyOxX7O2o0uHt54eLqjqurCy4uLri4uOHq6sLRo4dt6hM5ODgwbNgI/ve/D5LNHkotRVHo3Lm9daWzbt26M3fughSPCQ0NoVKl0tZ6XHv3HqRiclPu0iClsRcQEMA//xzl8OEDLF262KaWVSdgIaBZtQ5D85aJD46Lw/1/Q3BKMGUw+r2RRH3yqTU459nlFRwO7icOaFCgICfig3358xdg8+adhIaGcv36Va5du2r5efI4Ef7+tG7UhLE//pxotb60UBSF06dPsmXLH7i7u/POO4OzbVZfTmI2m1mw4CemTp1EXFwc9es3ZPjwkTRv3ipRID04OIj+/XvbBN5btGjFzz//kuR00OwoJ177hMgOZOwJkfVemoDRypVrrCnxrwE/r9+CoUEj+3ZKZGuaixdQh4ZgqN/Q3l35z8qJF25FUZg16ztu377F8OGjZBWmDKT96nNWf/U5U4GHGdBeixatmD59xgvXrkro2LGjdOhgCRCqVCr+/PNQikXCFy9ewNixowHL6mt79uxPdt+0SO3Yu3LlMu++O4CLF89btxUAFlWvSbXtthkhmgvn8Rg2CG2CfaMHDbFM707wod9p2S+4vz+C4cDs+G1arZaNG7dRq1YdmzbV9+9ZVmmLi0NxcCD48EnMhQqn+fWK/4bAwEAiIsKf+3cxNjaWkSOH2tQyq1ixMmvXbkrzCoT2kBOvfUJkBzL2hMh6LxIwylYVJYODnxXSzAOY86WuGKnIuUzlK0iwSKSZSqVixIjRfPvtLAkWZTDjB+N4s3svrgPrgW+BD4BeDg40KlmaEiVK4uLy/GySwoWLsHTpKlau/D1Dg0UAtWvXoXXrtoAleDh9+mRS+u5k1apnS8/36vVGhvYlNcqUKcv27XsZOHCwddsDoO3J40wdPZwdO7axb+9uTrz/P661aszFi+e5CoQDMW++nShYBBDXoSOrNBprsAhg0qSpiYJFAK5fTEMVn12l0utxnZF8kXLx35crV65U/V10cnJi7tyFjB49xrrt/Pmz9OnTg+jo6MzsohBCCCGySLbKMJoyZTqTJk0A4FNgyM2H4Ja+SJgQInXkmx6R4eLi8OzRBYdDB1BUKmL7vkXUxxNREmQdREVFxd8iiY6OJioqiuhoyzZnZyfq1WuIs7NzpnXx/PlzNG/ewPp4woTJjBgxOtF+ly9fonFjSxDFwcGBs2evZFgR+vSMvR07tjFyQB+CDIbn7qtVq+nYqSvvDBxMzZq1bZ67fv0arRvVJtJkAqBT6bLM33800dQjzflzeLdoaLMqpaJSEfLnIUwpZGVlGoMB3bEjqB89RBUagjo4GHVIMKqQYNTBwSjOLsS89Q6Gps2zvm852PLlSxg9erj1catWbfjll5XodDo79iplcu0Twj5k7AmR9V4kwyhbVScMfvTIej+Xo5MEi4QQ4r/I0ZGwNRtx2LENU6nSmMqUTbSLq6trfN2aPFnfP6BixUr06zeApUsXATBt2mSKFi1Gx45dbPb79ddn2UVt2rTP1BULU6NNm3bsn/kTw4e8zZ7n7Gs0m1m3/nfWrf+d6tVr8M47g+nYsQsGg4EBA/pYg0UlgYUGPeYk2nCbNskaLFJUKlSKgkpRcP3sU8KX/5ahr+15NJcu4vHuW2gvX0pxP4cdW4ma+jkxA4dkUc9Enz79iY6OYsKEcQDs2rWDkSOHMWvWT6iTK8wuhBBCiGwvW13FQ/yfWO/n8cn+89+FEEIkQ6dD36FjksGi7GL69BnUTzClddiwQRw/fsz62GAwsGbNKutje0xHS0qurq+xtWQp5mOp9/cK0BJoCFTPm49y5cpTuHBRm2NOnjzB0KEDqV69Aj16dOFyfNDFEVgD+N66ifb8WZtjdPv/wmHvbgAUtZqIuQtQ4jOQHHduR3fk0HP7qn7yGM21qy/yckFRcFo4H+/WTZ4bLAJQmc24fTwW1/FjID4oJjLfoEFDGTXqA+vjNWtWMXnyhBSnewohhBAie8tWAaPgwADr/Vy5/ezYEyGEEC87R0dHFi9eTokSlhpJcXFx9OvXkzt3bgOwZ88uAuOvS3nz5qNp0xb26qotlYq4dwYzEEuwZzOwrXQZNu36i+1nr/DXX0c4fvwse/bsp2fPN3BwcLAe6u//hGPHjlgff1+jFlXj7zuuXfPsHGYzrlMnWh/G9uhNXNfXbVYudZ0yEVIIBuj27sKndhV8GtTEefYP6XupwUF49O+F+0cfWOsoKc7OxHbsYqnPNHoMkVM/J3z2PMKWrcZQo5b1WJcF8/Do3wsiI9N1bpF248Z9Qt++b1of//TTbGan899eCCGEEPaXrQJGIWFh1vu58ue3Y0+EEELkBN7ePqxYsQaf+KzWwMBAevd+jbCwUJvpaN2790KrzT6zuGN7voGhRi0UR0ei3x1GyK6/MVapZrNPpUpVmDlzLqdOXWLcuAn4+eW1eb5Hj970fP9D62PH9b+D2TIxzXHTenSnTwGgODkRPfZjAKLGTUCJD0Dpjh/DYfvWJPunO3wQz7f6oIqJAcBtyic4bN6UpteoO/A33k3r45jgHMbyFQnZ9TcRC5YQ+eV3RI/7hJh3hxHXvRf6Nu0IXbeZ2ATTCh13bserUzvUjzJizT7xPCqVii+//I5XXulo3TZ16kRWrlxmx14JIYQQIr2yVdHrsiVLcuXGDQAevTsMzdTP7dwjIV5+UnxQCDh69AjdunVAr9cDUKdOPU6c+Aej0QjA4cMnKFGiVIae84XHnqKAXg+OjqnaXa/Xs3nzRjZsWEv+/AWYOHEqLjodvpVLow4KAiB0w1YMNWvj06AmmvhMq+jho4j65FNrO64TxuIyfy4AxjJlCdl3GDQa6/PaUyfw7NYRdaTta1NcXAj9YwfGSlVS7qjBgMvXn+Py/Tc2xbajBw4m6pMp4OSU8vFmM66fTcFl5rfWTaZ8+QlbsQZTxUopHxtPFRKM9vQptJcuYixbDkPzlqk6TljExsbSq1c3Dh7cD4BarWbMmI+oVasOFSpUwtfXvrXAQK59QtiLjD0hst6LFL3OVgGjokWLcufOHRwB/+kziJOClUJkOrlwC2Gxbt0aBg9+O9H2WrXqsGXLrgw/X3YZe25jR+O8eAEAMX3fwliuHO7jLZlHZi8vgo+dQfHytu6vCgzEp3YVa0Ao/IcfievVB7AUpvbq3A51SAgApjx+4OxsDT6Z8hcgdMefmP+V7fSU+tFDPAa9he7oYes2s68vET/8iL51uzS9LqflS3D7cBSq+KCf4uyMsXwFTAULYy5YCFPBQpgLF8ZUsDDqsFC0p06iPX0C3amTaG7fsmkr6sPxRL8/Fv61ipxIXkREOJ07v8K5c2cSPZcvX34qVKhIxYqVqVChIhUqVKJYseJoEgQe0yMgIIDffvuVEiVK0qZNu0Sr/iWUXcafEDmNjD0hst5LFzAqDJxduAz9q53s3SUhXnpy4RbimW+//ZIvvpj2r22z6NOnf4afK7uMPe3RI3i/2hqwBIjQalEHBgIQOXk6MUOHJzrG5ZsZuM6YDliCQMGHT6J+9BCvjm3RxC9gYfb2JnTDNtBq8WrXAnW4Zdq5oVp1y3ZnZ5s2dX/vw2Pw26gT1DPUN2pKxJx5mPPmS9dr0/31Jx4D+qKOCE/X8QnFvD2IyOlfgqz6lWr+/v507NiGmzdvPHdfFxcXypUrT/nylazBpPLlK+CWihVzFUVh48Z1jBv3PsHBwYBlyuWXX36H87/+nz2VXcafEDmNjD0hst5LFzCqCezcuhtjzdr27pIQLz25cAvxjKIojBgxhNWrVwLg7OzM+fPXcHf3yPBzZZuxZzbjU6symnt3bTabChYi+NCJpKeARUbiW6cq6gB/AKLfHYbj1j+sbZjd3AlbuwljtRoA6P7cg2fv11DFr1oW27krEfMWWzJ2zGZcvv8aly8/QxVfQ0lRq4keN4HoEaNfOECjuXwJj0FvpmqFtacUnQ5jhYqggO7MKev22K6vETHzJ0hQSFykLDIygt9+W8W5c2e4cOEcly9fIjY2NlXHOjg40KXLa7z77jAqJjOd0N/fn7FjR7NlS+IaWRUrVmbx4uUUKVI00XPZZvwJkcPI2BMi6710AaNXgCUnL2AuWMjeXRLipScXbiFs6fV6RowYwo4d25gwYRJvv/1uppwnO40912mTbWr+AITP+om4Hr2TPcZp4XzcP/og0XbF2ZmwVesw1Gvwr/3n4f7RGOvjqA/HEzNgIO7DBuG459mUP3PuPITPX4yhQaP0vpzEzGbUD+6juX8P9d07lp/376G5dw/1/bvg6IixSjUMVatjrFYdY/mKltpQcXG4v/cuThvXWZvSN2tB2KLl4Oqacf3LQYxGIzduXOfChXNcuHCe8+fPcuHCefzjM9OS07hxM4YMGUazZi1Rq9UoisKGDWv56KMPrFlFAO7uHkQkyCjz8vJi7twFtGjR2qa97DT+hMhJZOwJkfVeuoDRW8CMB0Gg09m7S0K89OTCLUTSFEVJsQbKi8pOY09z8QI+TetZHxvLVyRkz36bYtaJ6PU2xbHBkpkTtmwVhuatkjwkYb0ksASHnmYpAejrNSBi/uJkaxzZhcmE20cf4PzLQusmQ41ahK1cg+LtY8eOvVwCAgK4cOEc58+f48KFc5w7d4arV68k2q906TK8885g9u3by9atf9g817fvW0yePJV1635n/PgxGAwGwLJ625gxHzF69Ieo4zPWstP4EyInkbEnRNZ76QJGY52def9Oyt80CSEyhly4hbCP7Db2vJs1QHvhHAChq9YmG/RJyHH973i8OwCwTCML/3lJyvUHDQY8e72Gw99/Jnoqevgooj76BLTa9L2AzKQouHz1Oa5ff2HdZCxTlogff8ZYsnSiekwiYxw/fox5837kjz82YI6frpiUggUL8e23s2jatLl124kT/zBgQF8ePXpo3da6dVu+/voH8ubNl+3GnxA5hYw9IbLeSxcw+ipvPvqfTfytkhAi48mFWwj7yG5jT3PlMq5ffoa+QSNi33ondSuCmc24fjIOh/1/ETXmI/Svdn7uIarQELzatUB747qlCU8vImbPQ98mbaug2YPTwnm4jf8Q1b/eOplz58FUuDCmQoUxFyqCqVhx4lq3Q8mTx049fbncvXuHn3+ey/LlS4mKirR5rl+/AUyaNCXJOmMBAQEMGvQmBw/ut9meK1duKleuRMmSZShXrgJly5ajRImS6PUGIiPDiYiISHALx9nZhbZt26OTzHchXlh2u/YJkRO8dAGjXypWov3eg/bujhA5gly4hbCPnDz21Hdu4/bJOBRnZ6LGT8KcRFHi7Mpx3Rrc33sXldGY4n6KoyOxr/ckZvB7mEqXSXY/9d07OK1citPva1BFhGGoWRtDvYYY6jfAWLlq9sy4spPw8DCWL1/K8uW/oNM5MGXKZzRp0izFY4xGI9Onf8qcOT+80LmbNm3OkiW/JrvqmhAidXLytU8Ie3npAkabW7am9srf7d0dIXIEuXALYR8y9v67dIcP4jzrO7TXrqJ+cP+5waO41m2JGfY/DHXrWzK3DAYcdmzDefkv6P7ckyhj6SmzqxvG2nXQ12+IoV5DjFWrpWqFNvXjRzjs2YX21ElUcbFgMoHJiMpoAqMRzJbV6hR3D8xeXiieXiienpi9vFE8PDHnzo2pVGkUL++0/3Kyqa1bNzN79vdcvHie6OjodLXRqFETli5dhasUPBci3eTaJ0TWe+kCRkf6D6D4V9/buztC5Ahy4RbCPmTsvSSMRtSPH6G5dxf1ndto7t3FYe8udCeOJ9rVUK06htp1cVr3u02x79RSXFww1KyDoX4DDPUbYqhWw7Kam8GA7vgxHPbssgSK4mtRvShTHj9MpctgKlUaY+mymEqXwVi5CoqnV4a0bw9ms5k7d27z8OEtjh49waVLF7l06QL379/DxcUFNzd33N09cHd3x83NDZPJxJ4Eq/jVrVuflSvX4ObmbsdXIcR/l1z7hMh6L13A6PrkaXgMHWHv7giRI8iFWwj7kLH3ElMUtEeP4PLjTBx2bE02gwhAUakwNG1OTN+3MJUth+7oYXQH96M7fBDNg/spn8bJCWOFSmiuXUUdHpbRryLZc8b27kv0eyMxFyyUJefMDGkZfzNnfsu0aZOtj2vWrM2qVWvx8PDMpN4J8fKSa58QWe+lChjdvXOHgKW/Ym77ir27I0SOIBduIexDxl7OoLl+Deef5uC0egWquDjrdpNfXmLf6Ets736YCxdJfKCioL57B93hgzgcOoDu0EE0d2+n6pyKToehbn30TZpjzp0bNBpLLSSNBkWjtdw3mVBFhKMODUEVFoYqPAx1aCiqsFA09++juXHNpr+JzqHVWmo0jRiFqUSpZHZSUN++hfbmdUz5CmAqWSpVU+pSovL3x2nVCtDpiOn3FqRzelhax9/cubOZNGm89XG1atVZvXo9Xi/RtD0hsoJc+4TIei9VwCj6zh0u7zmAqVJle3dHiBxBLtxC2IeMvZxFFRCA89JFaG7eIK5DJ/St2qS5oLX6wX10hw6gO3wQ3aEDaG/esD5nKlgIffNW6Fu0wtCoMcqLTpkymVDfvYP26hU0V6+gvXYF7emTaC9fstlNUauJ69iZ6P99gDlXbnSnT6I9dRzdqZNoT59EHRLybF+t1jK9rVx5jOUrYor/aS5Q8Pmv/c5tXOb8gNOvy62BLFPBQkR+9hX6tu3T/PLSM/4WLpzHRx+NsT6uVKkKa9ZswMfHN83nFyKnkmufEFnvpQoYud25w74LN1By57Z3d4TIEeTCLYR9yNgTL0r9+BHaC+cwFSiEqUxZS0HtzKQo6PbtxeX7r3E4nHGr2ZoKFcbQoBH6Bo0wNGxsE0DSXLyAy6zvcNywFpXJlOTxcW3bEzn9S8yFCqf6nOkdf0uWLGLMmJHWx8WKFqNR42bkz5+f/PkLUKBAQQoUKEC+fAVwdHQkNjaW2NgY4uLiiImx/DQaDRQvXlKKZ4scSa59QmS9lypgVOLuXVY9CgG12t7dESJHkAu3EPYhY0/8l2mPHMb1+69w2Ls7xf3MXl4Yy5ZH8/ABmrt3UtW2qWgx9A0bo/Z/guPO7YmeN1SuiubBPdRBQdZtiosLUe+PI2bwMNDpnnuO1I4/zcUL6A7tR/PwIeqHD1A/fsTSK5cZFBTIi7yBdnNzp1u37vTr9xaVXjCrXq/XYzKZcHZ2fqF2hMgKcu0TIuu9VAGjuv4BzLrz2N5dESLHkAu3EPYhY0+8DLRnTuHy/Tc4bNsMjo4YK1XBUK0GxmrVMVSrgbloMWvmkyoiHM2lS2gvXUB76QKaSxfRnTmNKjoqVefSN25G9IhRGBo1QRUSjOv0T3Fe9ovNPsay5Yj6aCKG+g1SXM3teeNPff8ertM/xWntb0k+vxx4G9Cnqucpq169Bv36DaBTp65pyjoymUwsXbqYL7+cTlhYGE2bNqdLl9do1+6VVK3ipgoOQvHwTPPUSCFehFz7hMh6L1XAqGNMLJ+cv2bvrgiRY8iFWwj7kLEnXioGgyUwlNbgg8GA9vRJHA7uR3dgP7p/jqCKibE+rahU6F/pSPTwkRir1Uh0uPbYUdw/HIX24nmb7YpKhalsOQy16mKoXQdD7bqYixS1Bq+SG3+qiHBcZn6H87w5qGJjU+z6Q7Wao2Yz94F7wO0iRbnrl5eHjx7y6NFDjEYjzs7OODo64uRk+ens7ExUVBT37t1N1J67uwevv96Dnj3foEqVaqhSmGJ4+PBBxo//kAsXziV6zsnJiZYt29Cly2u0bNnaNvMoOhrHTetxXvYLun+OYsqbj5ghw1+ogLgQaSHXPiGy3ksVMBrg5MyQ/cfs3RUhcgy5cAthHzL2hEhCXBy6UyfQHdwPZjNxnbthKlU65WOMRpx//gnXGdNTzFYy5fHDWLUaxoqVcK1Xm+BCJTAVLW4pg2A04rR8Ca5ffoY6MMC2S63bYqxeE1P+Apjz5sOcLz/m/PnBZMLjrT44HNxv3VffpBnhC5dicnNHpVIlGfRRFIXDhw+ydOkiNm/ehF6fOE+pWLHidOnSjc6dX6Ns2XLW7Q8e3GfKlE9Yv35tyr+TeG5u7rRr9wrdqtWg3ZVLuK37HXVEeKL9zD4+xAwaSszbg1LMzBLiRcm1T4is91IFjMYWLspra/+wd1eEyDHkwi2EfcjYEyJjqR8+wHnej5YV5M6fTbZIdkJmVzdM5cqjCgtFe+2qzXOGqtWImvI5hrr1k29Ar8d91Hs4rVll3WQsV56wFWswFyxku6+ioH70ELX/E4yly4KLC0FBQaxevZJlyxZz48b1JE9RrlwFunTphslkYtas74iOjrY+5+Liwv/+9z4dOnRi27bNrF+/NsmsIwAfoBvQC2gMaJL6fbh7EDtgINGDhsoCNCJTyLVPiKxnMhnJm9c7Xcdmu4DRl3Xq02z2PHt3RYgcQy7cQtiHjD0hMlFkpCVT6dgRdMeOoD3+T5KZNUkxFShI1MeTiOv6euoWYVEUXL76HNevv3jWhl9eoj8cj/rRQzQ3rqG5fh3tjevWDCizjw+R07+0nEOlQlEUDh7cz+rVK9m6dTMRqehrly7dmDhxKgUKFEQVEIDu5HG0J/7h+v59rD17llUGPckVefBzc6PTq50pGBZG+P6/CI0IJxgIBoKAaJWKyoWL0KLnGzTrN4DcEjwSGUSufUJkvTlzvmfy5E/SdWy2Cxgtfr0XFT8cb++uCJFjyIVbCPuQsSdEFjKZ0Fy7ivb8WbQXzuNy9SLmU6dQBwZadzG7uhHzv9FEvzsM0rHimOOqFbi/PwKVwZDqY+LatCPyy+8w58tv3RYbG8uePbtYv/53du7cRuy/aimVL1+Rz6d9QSOdA447tuKwY2ui7CgABTgFrIq/3UvzK7JQATWKFqNlt+60at+BihUrp1hfSYiUyLVPiKx15MghRowYzK1bt9J1fLYLGG0aO4F8r/Wwd1eEyDHkwi2EfcjYE8J+cud2J8A/HLX/EzQXzqEOD0ffoPELT8PSHfgbjzffQB0eluTzZi8v0GhQBwU92+bhSeTUz4nr+Ya1KPdTkZERbN++lQ0b1nL/7l0G1KrDIH0crnt22gS7kmLK44exZm30DRsR07kbx27cYP36NWzatIHAf9VpSot8ufPQsm17WrVqS6NGTVJc2c1kMnHx4nn++ecYiqJQoUJFypevgIeHZ8onURTUDx+guXsHY+myKL6+6e4vgCokGN2Gddxft4YYkxHPVzri3rsvGm+fF2rXrhQF9YP7aM+eQXv2NOqgIPQtW6Nv087ePUuRXPuEyDoREeE0a9YAlQpu376drjayXcDowMLlOFauYu+uCJFjyIVbCPuQsSeE/WTm+NNcvYLrZ1PAbMJUohSmkqUwxv9UfH1RRUXiOnUSzosX2Bynb9qciG9mYi5QEPW9u2ivXUFz9Sqa61fRXr2C9uzpZFduUxwdMVauiqFGLYw1amKoUQtzgYKJAlAARqORgwf3s3fvbgC8vb3x8vLGx8cHLy9vvL280J47w/4F89hx8QKHFIXkqkE5OjrSoEEjWrVqQ6tWbfHzy8upUyc5evQQR44c4tixo0lOrytcqDAVK1WmQoVKVKxYmTxqFQ7Xr+Nw/SoO16/ieOUKutAQtICbTodj2/ao33wHY8PGSb6mfzOZTNy4eIGLq5ZzftcOTt+5zSlFIeG/uArI5ehIrrz5yFW4CLlz56Fo0WJUrlyVypWrWKb6peJcsbGxBAcHERQUSGBgIEFBlltwcBB6vYGiRYtRsmQpSpYsTZ48edKdnaWKjED35x50p0+hPXsa7bkzqIODE+0X1/5VImd8g9kvb7rOk9nk2idE1hk5chgrVy6jSJEiL0fAqELRovy19yCKu4e9uyJEjiEXbiHsQ8aeEPaTHcaf7tAB3EcOQ3P72TQBxckJINnAUEKmPH7o27RD37Y9+oZN0jWN7nlUAQFEL5rH/l8WsS0okG1Y6hwlR6fTYUjDlLy00ACeajXuHh64+eXDxcMDs9mMyWTEYDBiiovFFBuLMS6OgJBgIo3GFzqfj48PlSpVoXLlqpQvX4G4uDgePXrIw4cPefTogfVnSEhIqtt0d3OnZNFilCxalNJlylGtXgOqVq2WfMZVXBwOe3fjuG4Njju2pur/BViy1qI+nU5s776pCrA9l6Kg8vdHe+kC2ssX0dy6ialIMeK6voY5b740NZUdxp4QOcG2bVvo378XwMsTMGpcrBhrj57JmD9sQohUkQu3EPYhY08I+8k24y86GtfPp+I8/0dUqXhLbixbjri2r6Bv0w5jtRqpK8qdEcxmdPv2oFv0M6d2bmcLsAVIej02W/mARoAjcAa4CLxYKCf9crm6ksvFlcDgIAJTsYpeVlABZby9qV6qDNVr16VqqzYUDQ3BecsfOO/Yii4sDDWgxhI00yU41uzugbFyFYyVqqAODcFp1QqbtvWNmhDx9Q+YixVPW6diYnD8YwO6UyfQXLqI9vLFJLOZFLUaQ5NmxPboTVy7DqkKWqZ67JlMaE+dwOHA32A0YqheE2PNWijPm84ohMDf35+mTesSGD91eVidusw+cjhdbWWrgFGXMmWYf+C4vbshRI6Sbd40C5HDyNgTwn6y2/jT/nMU95HDrMWrzblyYyxdBlPJ0phKl8ZYqgymMmUx5y9g556C+s5tnBf9jNOKpdwLD2MrsBnYC8QCpbAEiJ7eigNotZgLFoK4OPQx0VyOieFMXBxnsASdotRqDM7OGJ2dMTk6YXR0xKhWYzQaiQoLJTw8nLg0BnjyAtWdnKlUpSoVu7xGpbbtyZcvv2VKmKKgHD9GxOKFhG79g4DoKB4B54GT8bfUrakHGo0GX99c5HJ2Jnd0NH5BgeQ2m8mFJchzDbgSf0ttmylx0mjwdnfHO1duvHLnwcvbxzqdMFdYKPm2biZXUCC+gA/g4+SE4/tjUQYNfW5ARxUWivPiBTjPn4s6jXWuzO4exHXqQmz33hhr10k2mJnS2FM/foTuzz04/Lkbh317UYeG2jyvqFSYylXAULsOhtp1MdSui7lQYUk2ECIBRVHo168nO3ZsA6CAoxMX8vrh+TJkGL1TtRqf7/rb3t0QIkfJbm+ahcgpZOwJYT/ZcvyZzajv3Ebx8kL5LxRjjozE6ffVOC/4Ce3VK8QCccDT/A9zrlzoW7QmrlUbDE2bJ84MURSIi0MVF4vi5g4aTYqniwsJQf/7avS/Lif6/FmisGTcaLFk3ajd3FH7+aHOlx+X4iXxer2nJXDxvGBCdDSOf2zAedkv6I4dsfQduIUlcHTCyYnz+fLj5udHfm8f8nl7k9/bhwI+PuT39iVvSDAuvy5He/1aks0rOp0lYKbW8Fij5goqrigKp6Mi+cds5iwkWyMqIzkDPo5OlppVBQvhlTcf3t7eeHv74K3R4HfqJH6HD5IrLtYabHKO/12YAZOLK4aSpdCXLIW5QEF8jx/D+/DBJM9l9vTCWLUahho1MVaviaF6LZRcuYD4sfc41FKn68Y1NDeuo7l+Dd2xo2gvnn/WBhAA3MUSaDPG3wwJ7hsBV2cX8uTLT+4iRchVsjS64iUwFymCqXBRTEWLgYNDqn9HqidP0N68jtr/ieX25In1vsrfH5yc0DdsjKFpcww1a6epbSGyyvLlSxg9erj18U6gVZEi8DIEjMY1asz767bYuxtC5CjZ8k2zEDmAjD0h7EfGXwZSFHR//YnT8iWoAwMw1K2HvmUby5S55wSB0ktz6SLaM6dQfHwwFSyMuVChDKmBqjl3FudF83Fa+1uq6wUlxVCpCrF9+hPX7fXkp1AZjWhu3yLu9CkuHPiLk2dOc+LubY5HRBCqUmHS6TBptJhVKsxmE2azGaPRiNlsTne/Mpqriwt+Do7kjYkmb1wceQE/LEFDd8Aj/qc74JI3Pw7FimHwf0z43btEGgxEgPUWCNzDEiC6F3/Tp6NPnmDth69KhZenF555/PAoWBDP4iVxL1MOl7x5Cbl2lcAL5wi4eZ2Ahw95EhzEE4OBaCAXkAfIHf/z6c0dePrB2ezgiLFsWQzlK2AqXwnPsuUoUbIU+fMXQJ1VU0WF+Jdbt27SrFkDoqOjABgB/ADwsgSMDnz8CWVGfmjvbgiRo8ibZiHsQ8aeEPYj40+kRBUSjNOKZTj/sgDN3TupOsbs5k5c19eJ7dsfY5Vq6T+5yZRsoE1RFKKjowkJCSYkJISQkGBCQ0Os90NCQuIfxz8fHETow4cER0XarW5UTuOiUlHS2YXSHh6U9M1FKb+8FMibl9x585OnYEFc8+UDL28ULy/M3j6WbEKZUicywO3bt3jnnf6cPXsagLJYsiSdgejpX+Ayfmy62s1WAaOgR8GYtbrn7yiEyDDyplkI+5CxJ4T9yPgTqWIy4bBrB45b/4Do6GeFyRXFcgMUBx36pi2I69gFXF3t2NnkKYpC9MULRG3bTOSfuwk/fYoQg4EgLKveBQMBuXIRUKgIQVqtNeik1xtQq1WoVCrUarWl/hOW4EZYWGimrYj3lJeXF/nzF8THxwetVmu9aTTxP9VqwgMDCHj4EP/AAAIiwjFmowyspDhjyYB6eivo7ELBIkXJX74C+evUJV/TFvgWLRb/u7ZlNpuJi4sjPDycgAB/AgL88fd/QkBAAP7+Twh6+IBYfRzodKhUliynp+2o1So8PLzInTs3efL4kTt3HvLkyUPu3Jabi4sLqqgoNP6PUfv7o37yGPWTxxATg7FqdQy162bMSoxGoyUgKkGyDGM0Gpk/fy4zZkwjJiYGsEzVPQzUBCInTCZu5Pv4+rqlq/3sFTAKisRszjbdESJHkDfNQtiHjD0h7EfGn8jRoqNxOPAXDn/uAbOZ2K7dMdapm6YmFEUhLCzUGqx4GsAICAggIiKcyMhIIiMjiYiIICoinMigQGKjo3H39MDZwwtXT0/c3Nxxc3PDzc0NDw9PChQoSIECBSlYsBD58xfAzS1tH3DNZjMhISHW/oQ+fED45cuE37hG+P27hD15TFhICJEmE746nSVwUqQoucuUxadKNXJVqYqLmzvBwUEEBQUSGBhIQEAAgYGWW3R0NCqVCpUKS3AlIAB1gD8EBPDQZOQKluDbi3JSqcjj7IxBAb3ZRJzZTKzJlKnBMBWWYJYz4JLgpxtQACio0VCgSFHyVauOX+Nm5G3eEi/fXERHRxEV9fQWSWRoKNFBgYTduU3IrZuE3L9H8JPHBAUHExQRQbA+Dne1msKeXhTOX4CCJUtSsHJVCtRtQL7yFVCr1ej1ccTF6dHr46z3jUYDKpUajUYTf1OjVlvuOzo64uXljaOjY6b9frKrc+fOMnr0cM6cOWXdpgZmAsOAyKmfE/PuMNRqlQSMhBDpI2+ahbAPGXtC2I+MPyHsw+5jz2xGFRqSsVPBFAVVVCSqkBBC7tzhxuWLXL92lRt3bnHj4UOehIXwJCKSx9FRxGbzDKj/MjeVilxaLT5aHbkcdPg4OOLm7IzazQ2Vmztqd3dw90Dt4YnK3Q13D0/LCoe5cuPrm4vcuS333d09kszwSkhRFOJiY4kKDyMqJISYsFD0MTHWIKi7hwdOzs6o4rOpFJXasnKgWm35f6f+1+M0iomJ4dvPpjD757mYEvyfqgwsxJJZFDHjW2LfegfghQJG2tTsdOvWLcaNG0doaCheXl7MmDGDokWL2uxjMpmYNm0a+/fvR6VSMWjQIF5//fV0dUoIIYQQQgghhMhQajWKj2/GtqlSobi5o7i541moMNUbNqJ6ErspikJkZAT+/k/w9/fn8cMHPDpzmgfnz/Lg9i3uBQZwLzaW0BRO5Ygl68cv/pY3wf3cjk64Aao4S8H2p2kYCpZV54KBx8CT+NvT+/5A+ku8Zx+RikKkwcBtgwFi0t+OTqXCUa1GjWUlRutPRQEFohUzkVh+pynR8KzwuxvgFH9zTnDfKX5fg0qFXqUiTqXCoFJhAPQqFRq1Gp1Gi4NOi06rQ6fToXNw4ERgADeio63ncgQmAR8AGl9fwqd+QdxrPdL/S0ggVQGjSZMm0bt3bzp16sTGjRuZOHEiS5cutdnnjz/+4O7du+zcuZPQ0FA6d+5MvXr1KFiwYIZ0VAghhBBCCCGE+C9SqVS4u3vg7u5BiRKlLBu7dbfdKSqKmKOHCLlwAUezGUfASQWOioJOUVAbjSg6HUqu3Jhz58acOw/mXLkx58r9rMZQbCzq4CBUQUGog4NQBwWiCgkGtQbFxQXFxQVcXFBcXC2PXd0weHsT4+hETGwssbExxMTEEBMTTXh4OA8fPuDh5Us8OnWChzeu8yAwgLtGIxFYAiFPb08DI65aLZ6OTvh6e+Pj54dP/oL4FCuOV+kyeJQuQ8T9+zw4fowHly5w7/Zt7gY84U5UFPcVBRWW4Me/bzosARpTErcYLMEwUwb9OxkUBYPpxVszASHxt+dKUBctsbgUD20MzNdqKdqqLdE930DfohU4OKSpryl57pS0oKAg2rRpw9GjR9FoNJhMJurUqcPOnTvx8fGx7jdo0CC6du1K27ZtAZgyZQr58+fnnXfeSXVnZEqaEFnP7qnBQuRQMvaEsB8Zf0LYh4y9l4CioLl5HdX9++DhgeLugeLujtnNHVxc0jfVz2RC/eghGAyW41O6gfW+ggoVCuaYGCKDgwkK8CckMIDg4CCCgwKJCQlBCQmB0BDMoaEoYaEoYWGYo6MIAwKwZFgl/BmZyi47EB8gU6lwU6nQqVREKgrhikKEojwnzPPiPIAvChai9+BhGLr1QPFNPnMuU6ekPXr0CD8/PzTxyztqNBry5MnDo0ePbAJGjx49In/+/NbH+fLl4/Hjx+nqlBBCCCGEEEIIIbIZlQpTiVLwNEsqI2g0mAsWStehT9NN3IoWww0okpqD4uIsdadiY1HFxkBsHKrYGFSxscSGh2NQgVnrgEmrwaTTYdJqMWl1mLVaXLw8cfb0RufmZlnxLRl6vZ7IyAgiIyOJiooiLi6W2Ni4+J+xxMXFEhMTgwrQqdXoNBocNRrLfZUanUqFOTYGQ0QExqgojFGWn4aoKDRmM/Vf74l3vQbo0/VbS71UTUnLKumNegkhXkzu3O727oIQOZKMPSHsR8afEPYhY0/YnzuQKwvOk8H1suzguQGjfPny8eTJE0wmk3VKmr+/P/ny5Uu038OHD6lcuTKQOOMoNWRKmhBZT1KDhbAPGXtC2I+MPyHsQ8aeEFnvRaakqZ+3g6+vL+XKlWPz5s0AbN68mXLlytlMRwNo27Yta9aswWw2ExwczO7du2nTpk26OiWEEEIIIYQQQggh7Oe5ASOAyZMns3z5ctq0acPy5cv59NNPARg4cCDnzp0DoFOnThQsWJDWrVvTvXt3hg0bRqFC6ZuHKIQQQgghhBBCCCHs57mrpGUlmZImRNaT1GAh7EPGnhD2I+NPCPuQsSdE1svUKWlCCCGEEEIIIYQQImeRgJEQQgghhBBCCCGEsCEBIyGEEEIIIYQQQghhQwJGQgghhBBCCCGEEMKGBIyEEEIIIYQQQgghhA0JGAkhhBBCCCGEEEIIGxIwEkIIIYQQQgghhBA2JGAkhBBCCCGEEEIIIWxIwEgIIYQQQgghhBBC2JCAkRBCCCGEEEIIIYSwIQEjIYQQQgghhBBCCGFDAkZCCCGEEEIIIYQQwoYEjIQQQgghhBBCCCGEDQkYCSGEEEIIIYQQQggbEjASQgghhBBCCCGEEDYkYCSEEEIIIYQQQgghbEjASAghhBBCCCGEEELYkICREEIIIYQQQgghhLChtXcHElKrVfbughA5kow9IexDxp4Q9iPjTwj7kLEnRNZ6kTGnUhRFycC+CCGEEEIIIYQQQoj/OJmSJoQQQgghhBBCCCFsSMBICCGEEEIIIYQQQtiQgJEQQgghhBBCCCGEsCEBIyGEEEIIIYQQQghhQwJGQgghhBBCCCGEEMKGBIyEEEIIIYQQQgghhA0JGAkhhBBCCCGEEEIIGxIwEkIIIYQQQgghhBA2JGAkhBBCCCGEEEIIIWzYPWB069YtevToQZs2bejRowe3b9+2d5eEeCnNmDGD5s2bU6ZMGa5evWrdLmNQiMwVEhLCwIEDadOmDa+++irvvfcewcHBgIw/IbLC0KFD6dixI507d6Z3795cunQJkPEnRFaYPXu2zXtPGXdCZL7mzZvTtm1bOnXqRKdOndi/fz+QvvFn94DRpEmT6N27Nzt27KB3795MnDjR3l0S4qXUokULVqxYQYECBWy2yxgUInOpVCreeecdduzYwR9//EGhQoX4+uuvARl/QmSFGTNmsGnTJjZs2MCAAQMYP348IONPiMx24cIFTp8+Tf78+a3bZNwJkTVmzpzJxo0b2bhxI40aNQLSN/7sGjAKCgri4sWLdOjQAYAOHTpw8eJF6zevQoiMU7NmTfLly2ezTcagEJnPy8uLOnXqWB9XrVqVhw8fyvgTIou4u7tb70dGRqJSqWT8CZHJ9Ho9U6ZMYdKkSahUKkDedwphT+kdf9qs6FxyHj16hJ+fHxqNBgCNRkOePHl49OgRPj4+9uyaEDmCjEEhspbZbObXX3+lefPmMv6EyEIff/wxBw8eRFEUFixYIONPiEz2ww8/0LFjRwoVKmTdJuNOiKzzwQcfoCgKNWrUYPTo0ekef3afkiaEEELkFFOnTsXFxYU+ffrYuytC5CjTp09n3759jBo1ii+//NLe3RHipXbq1CnOnTtH79697d0VIXKkFStWsGnTJtauXYuiKEyZMiXdbdk1YJQvXz6ePHmCyWQCwGQy4e/vn2jajBAic8gYFCLrzJgxgzt37vD999+jVqtl/AlhB507d+bo0aPkzZtXxp8QmeSff/7h5s2btGjRgubNm/P48WPefvtt7t69K+NOiCzwdEw5ODjQu3dvTp48me73nXYNGPn6+lKuXDk2b94MwObNmylXrpykJAqRRWQMCpE1vvvuO86fP8+cOXNwcHAAZPwJkRWioqJ49OiR9fHevXvx9PSU8SdEJho0aBAHDhxg79697N27l7x587Jw4ULat28v406ITBYdHU1ERAQAiqKwdetWypUrl+7rnkpRFCXTe52CGzduMG7cOMLDw/Hw8GDGjBkUL17cnl0S4qU0bdo0du7cSWBgIN7e3nh5ebFlyxYZg0JksmvXrtGhQweKFi2Kk5MTAAULFmTOnDky/oTIZIGBgQwdOpSYmBjUajWenp6MHTuWChUqyPgTIos0b96cn376idKlS8u4EyKT3bt3j+HDh2MymTCbzZQoUYIJEyaQJ0+edI0/uweMhBBCCCGEEEIIIUT2IkWvhRBCCCGEEEIIIYQNCRgJIYQQQgghhBBCCBsSMBJCCCGEEEIIIYQQNiRgJIQQQgghhBBCCCFsSMBICCGEEEIIIYQQQtiQgJEQQgghRDbSs2dPLl68+MLtXL58mZ49e2ZAj4QQQgiRE0nASAghhBB217x5cypXrky1atWstydPnti7W1lu7969uLq6Ur58eQBmzZrFBx98kGi/MmXKcOfOnRTbKlu2LO7u7uzduzdT+iqEEEKIl5vW3h0QQgghhAD46aefqF+/frLPG41GtNqX+63LqlWr6NSpU4a19+qrr7J69WqaN2+eYW0KIYQQImeQDCMhhBBCZFtlypRhxYoVtG7dmtatWwPw559/0qlTJ2rWrEnPnj25fPmydf+LFy/SpUsXqlWrxsiRIxk1ahTfffcdAOvWraNXr16J2n+aqaPX65kxYwZNmzalfv36TJw4kdjYWACOHj1K48aNWbRoEfXq1aNhw4asXbvW2k5sbCxffPEFzZo1o0aNGvTq1YvY2FgGDRrEsmXLbM756quvsnv37kSvVa/Xc+TIEWrXrp2m31HNmjWtWVlVq1alTJky3L9/H4A6depw+PBh9Hp9mtoUQgghhJCAkRBCCCGytd27d/Pbb7+xdetWLly4wPjx45kyZQpHjx6lR48eDB06FL1ej16vZ9iwYXTq1Iljx47Rtm1bdu7cmerzfPXVV9y6dYsNGzawc+dO/P39mTNnjvX5wMBAIiIi+Pvvv5k+fTpTpkwhLCwMgBkzZnDhwgVWrVrFsWPHGDNmDGq1ms6dO7Np0yZrG5cvX8bf35/GjRsnOv+dO3dQq9XkzZs3Tb+f48ePc+rUKU6dOkW/fv2oWbMmfn5+APj5+aHVarl582aa2hRCCCGEkICREEIIIbKFYcOGUbNmTWrWrMnQoUOt2wcNGoSXlxdOTk789ttv9OjRgypVqqDRaOjSpQs6nY7Tp09z5swZDAYD/fv3R6fT0bZtWypVqpSqcyuKwpo1axg/fjxeXl64ubnx7rvvsmXLFus+Wq2WYcOGodPpaNKkCS4uLty6dQuz2czatWv5+OOP8fPzQ6PRUL16dRwcHGjZsiV37tzh9u3bAGzcuJF27drh4OCQqA/h4eG4urom2r59+3br7+XpLSlbt25l8+bNzJo1C51OZ93u6upKREREqn4PQgghhBBPvdyFAIQQQgjxnzFnzpwkaxjly5fPev/hw4ds2LCB5cuXW7cZDAb8/f1RqVT4+fmhUqmsz+XPnz9V5w4ODiYmJoauXbtatymKgtlstj728vKyqaHk7OxMdHQ0ISEhxMXFUahQoUTtOjg40LZtWzZt2sR7773H5s2bmTlzZpJ98PT0JCoqKtH2tm3b8vXXX9tsK1OmjM3jixcvMmXKFBYtWoSPj4/Nc1FRUbi7u6fw6oUQQgghEpOAkRBCCCGytYQBoHz58jF48GCGDBmSaL9jx47x5MkTFEWxHvPw4UNrIMfZ2dlakwggICDAet/b2xsnJye2bNlinc6VWt7e3jg6OnLv3j3Kli2b6PkuXbrw4YcfUqNGDZydnalWrVqS7RQpUgRFUXjy5Ema+hAcHMx7773HxIkTraurPfXkyRMMBgPFixdP02sSQgghhJApaUIIIYT4z3j99ddZtWoVZ86cQVEUoqOj2bdvH5GRkVStWhWtVsvSpUsxGo3s3LmTc+fOWY8tW7Ys165d49KlS8TFxTFr1izrc2q1mtdff53PPvuMoKAgwBJs2b9//3P7pFar6datG59//jlPnjzBZDJx6tQpa6HpatWqoVar+eKLL+jYsWOy7eh0OurVq8exY8dS/fswGo0MHz6cV199lfbt2yd6/tixY9StWzfJKXBCCCGEECmRgJEQQggh/jMqVarE1KlTmTJlCrVq1aJ169asW7cOsEz/mjVrFuvXr6dWrVps3bqVVq1aWY8tVqwYw4YN480336R169bUqFHDpu0xY8ZQpEgRunfvTvXq1XnzzTe5detWqvo1duxYSpcuzWuvvUbt2rX5+uuvbaazderUiatXr9KpU6cU2+nZsycbN25M7a+Dx48fc/z4cZYsWWJdKa1atWo8fPgQgD/++IOePXumuj0hhBBCiKdUiqIo9u6EEEIIIURmGDduHH5+fowaNcqu/diwYQOrV6/m119/fe6+vXr14pNPPkk0vSytrly5wsSJE1m9evULtSOEEEKInElqGAkhhBBCZKKYmBhWrlxJ7969U7V/aoJKqVGmTBkJFgkhhBAi3WRKmhBCCCFEJtm/fz/16tXD19eXDh062Ls7QgghhBCpJlPShBBCCCGEEEIIIYQNyTASQgghhBBCCCGEEDYkYCSEEEIIIYQQQgghbEjASAghhBBCCCGEEELYkICREEIIIYQQQgghhLAhASMhhBBCCCGEEEIIYUMCRkIIIYQQQgghhBDCxv8Bwr27f1gbqJ8AAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 1440x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "### --- see if we can add annotation to the lines themselves to point out occipital vs non-occipital\n",
+    "plt.figure(figsize=(20, 10))\n",
+    "plt.plot(f_occ, np.mean(pxx_occ,1), color='red', linewidth=3, label='OCCIPITAL')\n",
+    "plt.plot(f_nonocc, np.mean(pxx_nonocc, 1), color='black', linewidth=3, label='NON-occipital')\n",
+    "# add legend\n",
+    "leg = plt.legend(prop={'size': 20})\n",
+    "for line in leg.get_lines():\n",
+    "    line.set_linewidth(8)\n",
+    "#plt.plot(f, np.mean(pxx,1)+np.std(pxx,1), color='teal', linewidth=0.7)\n",
+    "#plt.plot(f, np.mean(pxx,1)-np.std(pxx,1), color='teal', linewidth=0.7)\n",
+    "#plt.fill_between(f, np.mean(pxx,1)+np.std(pxx,1), np.mean(pxx,1)\n",
+    "#                 -np.std(pxx,1), color='teal', alpha=0.2)\n",
+    "plt.xlim(0, 50)\n",
+    "plt.xlabel('Frequency (Hz)')\n",
+    "plt.title('power spectrum OCCIPITAL vs NON-occipital', size=15, weight='bold')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If all is well, you should see a much higher peak around 8-12Hz (the alpha band) in the occipital compared to the non-occipital (and full powerspectrum) plot(s)!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "### --- add same plots for all epochs of one subject and all epochs of all subjects (grand average)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a id='fft-fc'></a>\n",
+    "## **4.** Fast fourier transform & functional connectivity\n",
+    "#### Next, we'll filter the data into frequency bands and calculate functional connectivity."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def fft_filt(timeseries, thres1, thres2, fs=1250, nr_rois=np.arange(210)):\n",
+    "    \n",
+    "    \"\"\" Filter timeseries between the given frequency bands (thres1 and thres2)\n",
+    "    \n",
+    "    Parameters\n",
+    "    ----------\n",
+    "    timeseries: DataFrame with ndarrays\n",
+    "        Rows are timepoints, columns are rois/electrodes\n",
+    "    fs: int, optional\n",
+    "        Sample frequency, default=1250\n",
+    "    thres1: float\n",
+    "        Lower bound of frequency range data should be filtered between\n",
+    "    thres2: float\n",
+    "        Upper bound of frequency range data should be filtered between\n",
+    "    nr_rois: int, optional\n",
+    "        List of rois to be included, default=np.arange(210)\n",
+    "        \n",
+    "    Returns\n",
+    "    -------\n",
+    "    f: ndarray\n",
+    "        Array with filtered timeseries\n",
+    "    \n",
+    "    \"\"\"\n",
+    "    \n",
+    "    f = np.empty([timeseries.shape[0], nr_rois.shape[0]])\n",
+    "    \n",
+    "    freq = np.arange(1/timeseries.shape[0], fs, fs/timeseries.shape[0])\n",
+    "    # include only frequency band of interest\n",
+    "    val, inx_thr1 = min((val, inx_thr1) for (inx_thr1, val) in enumerate(np.abs(freq - thres1)))\n",
+    "    val, inx_thr2 = min((val, inx_thr2) for (inx_thr2, val) in enumerate(np.abs(freq - thres2)))\n",
+    "    \n",
+    "    for roi in nr_rois:\n",
+    "        xdft = fft(timeseries[roi])\n",
+    "        \n",
+    "        # remove all other frequencies\n",
+    "        xdft[0:inx_thr1+1] = 0\n",
+    "        xdft[inx_thr2:xdft.shape[0]-inx_thr2-1] = 0\n",
+    "        xdft[xdft.shape[0]-(inx_thr1+1)-1:xdft.shape[0]] = 0\n",
+    "        \n",
+    "        f[:, roi] = irfft(xdft[0:int(len(xdft)/2+1)])\n",
+    "        \n",
+    "    return f"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a id='pli'></a>\n",
+    "### **b.** The Phase Lag Index (PLI)\n",
+    "As a first measure of functional connectivity, we'll define and calculate the PLI (ref?)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#REVIEW Idea: Maybe add a short explanation of the PLI"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def pli_matteo(filtered_timeseries):\n",
+    "    \n",
+    "    \"\"\" Calculate the phase lag index (ref) between all pairs of regions\n",
+    "    \n",
+    "    Parameters\n",
+    "    ----------\n",
+    "    filtered_timeseries: ndarray \n",
+    "        Rows are timepoints, columns are rois/electrodes\n",
+    "    \n",
+    "    Returns\n",
+    "    -------\n",
+    "    m: ndarray\n",
+    "        Array with PLI between channel i and j averaged over timebins\n",
+    "        \n",
+    "    \"\"\"\n",
+    "    \n",
+    "    N = nch = filtered_timeseries.shape[1]\n",
+    "    m = np.zeros([N, N])\n",
+    "    \n",
+    "    complex_a = signal.hilbert(filtered_timeseries, axis=0)\n",
+    "    \n",
+    "    for i in tqdm(np.arange(nch)):\n",
+    "        for j in np.arange(nch):\n",
+    "            if i < j:\n",
+    "                m[i, j] = abs(np.mean(np.sign(((complex_a[:, i]/complex_a[:, j]).imag))))\n",
+    "                \n",
+    "    m = m + np.transpose(m)\n",
+    "    return m"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 210/210 [00:01<00:00, 187.36it/s]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Compute PLI in upper alpha band for first epoch piece (4096 samples)\n",
+    "file_epoch = file[:4096]\n",
+    "pli_alpha1 = pli_matteo(fft_filt(file_epoch, 8, 10))\n",
+    "\n",
+    "# And set the diagonal to NaN so as not to show up in the plot\n",
+    "pli_alpha1_diagNaN = pli_alpha1.copy()\n",
+    "np.fill_diagonal(pli_alpha1_diagNaN, np.nan)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#REVIEW: Is the above cell relevant later ? "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 210/210 [00:01<00:00, 198.95it/s]\n",
+      "100%|██████████| 210/210 [00:01<00:00, 197.46it/s]\n",
+      "100%|██████████| 210/210 [00:01<00:00, 202.51it/s]\n",
+      "100%|██████████| 210/210 [00:01<00:00, 200.52it/s]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Compute PLI of whole first epoch - so epoch pieces and then average\n",
+    "nperseg = 4096 # samples per epoch to compute PLI over\n",
+    "nr_rois = 210 # number of atlas regions to be used\n",
+    "\n",
+    "epoch_length = np.arange(0, file.shape[0], nperseg)\n",
+    "temp_alpha1 = np.zeros((len(epoch_length), nr_rois, nr_rois)) # initialize output array\n",
+    "for temp in np.arange(len(epoch_length)):\n",
+    "    temp_mat = file[epoch_length[temp]:epoch_length[temp]+nperseg]\n",
+    "    temp_alpha1[temp,:,:] = pli_matteo(fft_filt(temp_mat, 8, 10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Compute average of 4 epoch segments\n",
+    "mean_pli_alpha1 = np.mean(temp_alpha1, axis=0)\n",
+    "\n",
+    "# And set the diagonal to NaN so as not to show up in the plot\n",
+    "mean_pli_alpha1_diagNaN = mean_pli_alpha1.copy()\n",
+    "np.fill_diagonal(mean_pli_alpha1_diagNaN, np.nan)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#REVIEW Idea: Give more info as to why we construct the mean PLI"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a id='aec'></a>\n",
+    "### **b.** The Amplitude Envelope Correlation (AEC)\n",
+    "Secondly, we'll define and calculate the AEC (ref?)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def smooth(a, WSZ):\n",
+    "    \n",
+    "    \"\"\" Smoothing function \n",
+    "    Smoothes the input array using a moving average filter\n",
+    "    \n",
+    "    Parameters\n",
+    "    ----------\n",
+    "    a: ndarray \n",
+    "        Array containing the data to be smoothed\n",
+    "    WSZ: int \n",
+    "        Smoothing window size (must be odd)\n",
+    "    \n",
+    "    Returns\n",
+    "    -------\n",
+    "    smoothed: ndarray \n",
+    "        Array containing the smoothed input data \n",
+    "    \n",
+    "    Notes\n",
+    "    -----\n",
+    "    Reference: https://stackoverflow.com/a/40443565    \n",
+    "    \"\"\"\n",
+    "    \n",
+    "    if WSZ % 2 == 0:\n",
+    "        WSZ -= 1\n",
+    "    \n",
+    "    out0 = np.convolve(a,np.ones(WSZ,dtype=int),'valid')/WSZ    \n",
+    "    r = np.arange(1,WSZ-1,2)\n",
+    "    start = np.cumsum(a[:WSZ-1])[::2]/r\n",
+    "    stop = (np.cumsum(a[:-WSZ:-1])[::2]/r)[::-1]\n",
+    "    smoothed = np.concatenate((  start , out0, stop  ))\n",
+    "    \n",
+    "    return smoothed"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def envelopecorr(data, sm_param):\n",
+    "    \n",
+    "    \"\"\" Function to calculate amplitude envelope correlations\n",
+    "    \n",
+    "    Calculate the amplitude envelope correlation with pairwise \n",
+    "    leakage correction as a measure of functional connectivity\n",
+    "    \n",
+    "    Parameters\n",
+    "    ----------\n",
+    "    data: ndarray\n",
+    "        Array containing filtered timeseries,\n",
+    "        rows are timpoints, columns are rois/electrodes \n",
+    "    sm_param: int\n",
+    "        Smoothing window size (must be odd)\n",
+    "    verbose: bool, optional\n",
+    "        If true, progress is printed to console, default=False    \n",
+    "    \n",
+    "    Returns\n",
+    "    ------\n",
+    "    ENV_corr: nxn array of amplitude envelope correlations\n",
+    "    \n",
+    "    \"\"\"\n",
+    " \n",
+    "    ENV_corr = np.zeros((data.shape[1], data.shape[1]))\n",
+    "    for i in tqdm(range(0,data.shape[1])):\n",
+    "            \n",
+    "            x = data[:, i]\n",
+    "            htx = hilbert(x)\n",
+    "            htx = smooth(htx, sm_param)\n",
+    "            envelope_x = np.sqrt((np.power(np.real(htx),2) + np.power(np.imag(htx),2)))\n",
+    "            \n",
+    "            for j in range(0, data.shape[1]):\n",
+    "                if i != j:\n",
+    "                    y = data[:,j]\n",
+    "                    \n",
+    "                    #Regression\n",
+    "                    model = sm.OLS(y, x).fit()\n",
+    "                    #coeffs = model.params\n",
+    "                    #conf_inter = model.conf_int\n",
+    "                    resids = model.resid\n",
+    "                    \n",
+    "                    #step 1: compute the hilbert transform and bring it to the origin\n",
+    "                    hty = hilbert(resids)\n",
+    "                    hty = smooth(hty, sm_param)\n",
+    "                   \n",
+    "                    #step 2: compute envelope data\n",
+    "                    envelope_y = np.sqrt((np.power(np.real(hty),2) + \t\tnp.power(np.imag(hty),2)))\n",
+    "                    \n",
+    "                    #correlation between envelopes \n",
+    "                    ENV_corr[i,j] = np.corrcoef(envelope_x, envelope_y)[0,1]\n",
+    "        \n",
+    "    ENV_corr2 = (ENV_corr + ENV_corr.conj().T)/2\n",
+    "        \n",
+    "    return(ENV_corr2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_data(filepath, sub, nr_epochs, nr_rois):\n",
+    "    \"\"\"Function to get MEG data. \n",
+    "    Extract all epochs of MEG data for the current subject. \n",
+    "    \n",
+    "    Parameters\n",
+    "    ----------\n",
+    "    filepath: str, \n",
+    "                path to directory in which MEG data is stored.\n",
+    "    \n",
+    "    sub: str,\n",
+    "            subject for which MEG data should be extracted e.g. 'sub_01'\n",
+    "    \n",
+    "    nr_epoch: int,\n",
+    "              number of epochs to extract per subject\n",
+    "              \n",
+    "    nr_rois: int,\n",
+    "             number of rois to be included in analysis\n",
+    "    \n",
+    "    Output\n",
+    "    ------\n",
+    "    all_epochs: pd.DataFrame, \n",
+    "                contains the epochs of MEG data (for every roi) for the current subjects \n",
+    "              \n",
+    "    \"\"\"\n",
+    "\n",
+    "        \n",
+    "    #get all asc files of subject that are in MEG directory of subject\n",
+    "    #REVIEW: Adapt this line of code depending on your folder structure! \n",
+    "    #e.g. if you have subfolders add them to the path to get to the folder that has all asciis stored.\n",
+    "    path = os.path.join(filepath, sub) \n",
+    "    files = [file for file in sorted(os.listdir(path))]\n",
+    "    #files = [file for file in sorted(os.listdir(filepath))]\n",
+    "    all_epochs = []    \n",
+    "    for j in range(0, nr_epochs): \n",
+    "        \n",
+    "        #load every epoch (file) in directory of current subject and store in list  \n",
+    "        #current_epoch = pd.read_table(os.path.join(path, files[j]), header = None)\n",
+    "        current_epoch = pd.read_table(os.path.join(filepath, files[j]), header = None)\n",
+    "        all_epochs.append(current_epoch)\n",
+    "        \n",
+    "    #concatenate epochs in pd.DataFrame\n",
+    "    all_epochs = pd.concat(all_epochs)   \n",
+    "    \n",
+    "    return(all_epochs)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Parameters:\n",
+    "sample_freq = 1250\n",
+    "f_low = 8 \n",
+    "f_high = 10 \n",
+    "nr_rois = 210\n",
+    "sm_param = math.floor(sample_freq * 0.25)\n",
+    "nr_epochs = 4"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "sub-0004\n"
+     ]
+    }
+   ],
+   "source": [
+    "filepath = '/mnt/resource/m.zimmermann/move/meg_data/sub-0004/T1/BNA/'\n",
+    "#subs = ['sub_01']\n",
+    "subs = ['sub-0004']\n",
+    "for i, sub in enumerate(subs):\n",
+    "    print(sub)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 210/210 [07:27<00:00,  2.13s/it]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Loop through subjects:\n",
+    "AEC = np.zeros((nr_rois, nr_rois, len(subs)))\n",
+    "\n",
+    "for i, sub in enumerate(subs):\n",
+    "    \n",
+    "    #1.) extract and concatenate all timeseries for subject i \n",
+    "    timeseries = get_data(filepath, sub, nr_epochs, nr_rois)\n",
+    "    \n",
+    "    #2.) filter the data into frequency band\n",
+    "    data_filt = fft_filt(timeseries, f_low, f_high, sample_freq, np.arange(0,nr_rois))\n",
+    "    \n",
+    "    #3.) calculate and store amplitude envelope correlations \n",
+    "    AEC[:, : , i] = envelopecorr(data_filt, sm_param)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "### --- (AECc + 1)/2 to correct for negative values? -> this is clearly not in the function as seen by the\n",
+    "### adjacency matrix; but Shanna mentioned this in her presentation (@knw 21.02.26) -- and i think in an\n",
+    "### earlier email conversation as well, !!!LOOK THIS UP!!!\n",
+    "\n",
+    "# Correct for negative values\n",
+    "aec_alpha1_corr = AEC[:, :, 0].copy()\n",
+    "aec_alpha1_corr = (aec_alpha1_corr + 1)/2\n",
+    "\n",
+    "# Set diagonal to NaN\n",
+    "np.fill_diagonal(aec_alpha1_corr, np.nan)\n",
+    "\n",
+    "# And convert to dataframe\n",
+    "df_aec_alpha1 = pd.DataFrame(data=aec_alpha1_corr)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a id='data-check-2'></a>\n",
+    "## **5.** Checking the data - II\n",
+    "<a id='adjacency-matrix'></a>\n",
+    "### a. Adjacency matrices"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'PLI adjacency matrix - alpha1')"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x1080 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot the correlation matrix of one epoch segment\n",
+    "plt.figure(figsize = (20, 15))\n",
+    "plt.xticks(rotation=270)\n",
+    "_ = sns.heatmap(pli_alpha1_diagNaN, cmap='coolwarm', cbar=True, square=True, mask=False, \n",
+    "                xticklabels=3, yticklabels=3)\n",
+    "_.set_title('PLI adjacency matrix - alpha1', size=15, fontweight='bold')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#REVIEW Idea: Maybe bullet points of what are signs of bad data quality."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'PLI adjacency matrix - alpha1')"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x1080 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot the average correlation matrix of one epoch (multiple segments)\n",
+    "plt.figure(figsize = (20, 15))\n",
+    "plt.xticks(rotation=270)\n",
+    "_ = sns.heatmap(mean_pli_alpha1_diagNaN, cmap='coolwarm', cbar=True, square=True, mask=False, \n",
+    "                xticklabels=3, yticklabels=3)\n",
+    "_.set_title('PLI adjacency matrix - alpha1', size=15, fontweight='bold')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 156,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'AEC adjacency matrix - alpha1')"
+      ]
+     },
+     "execution_count": 156,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x1080 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot AEC correlation matrix of one subject\n",
+    "plt.figure(figsize = (20, 15))\n",
+    "plt.xticks(rotation=270)\n",
+    "_ = sns.heatmap(aec_alpha1_corr, cmap='coolwarm', cbar=True, square=True, mask=False, \n",
+    "                xticklabels=3, yticklabels=3)\n",
+    "_.set_title('AEC adjacency matrix - alpha1', size=15, fontweight='bold')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a id='check-signal'></a>\n",
+    "### b. Check for empty or weird signals"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Matrix has Infs: False\n",
+      "Matrix has NaNs: False\n",
+      "Matrix has Zeros: False\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Checking if there are NaNs, infs, zeros in the mean matrix\n",
+    "print('Matrix has Infs: ' + str(np.isinf(mean_pli_alpha1).any()))\n",
+    "print('Matrix has NaNs: ' + str(np.isnan(mean_pli_alpha1).any()))\n",
+    "print('Matrix has Zeros: ' + str((mean_pli_alpha1_diagNaN == 0).any()))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/mnt/software/anaconda3/lib/python3.8/site-packages/seaborn/matrix.py:194: RuntimeWarning:\n",
+      "\n",
+      "All-NaN slice encountered\n",
+      "\n",
+      "/mnt/software/anaconda3/lib/python3.8/site-packages/seaborn/matrix.py:199: RuntimeWarning:\n",
+      "\n",
+      "All-NaN slice encountered\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'Empty regions - mean PLI alpha1')"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x540 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot the correlation matrix with ONLY THE 0s!\n",
+    "cmap1 = mpl.colors.ListedColormap(['r'])\n",
+    "\n",
+    "plt.figure(figsize = (10, 7.5))\n",
+    "plt.xticks(rotation=270)\n",
+    "_ = sns.heatmap(mean_pli_alpha1_diagNaN, mask=mean_pli_alpha1_diagNaN!=0, cmap=cmap1, cbar=False,\n",
+    "                square=True, xticklabels=5, yticklabels=5)\n",
+    "_.set_title('Empty regions - mean PLI alpha1', size=15, fontweight='bold')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Matrix has Infs: False\n",
+      "Matrix has NaNs: False\n",
+      "Matrix has Zeros: True\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Checking if there are NaNs, infs, zeros IN ONE EPOCH PIECE - note that this isn't very informative\n",
+    "print('Matrix has Infs: ' + str(np.isinf(pli_alpha1).any()))\n",
+    "print('Matrix has NaNs: ' + str(np.isnan(pli_alpha1).any()))\n",
+    "print('Matrix has Zeros: ' + str((pli_alpha1 == 0).any()))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#REVIEW Idea: If it is not informative why include it ? "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'Empty regions - PLI alpha1')"
+      ]
+     },
+     "execution_count": 60,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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W1WUXlZWVFBQU0NjYiMPhwOv1kpycHNbX6h6iiIhYrat7iP22dJsSosjhQ/fM5XDRVUJUpRoRERGiPMvU5XKFnl0GkJ+f3+k5bSIiIv1F1JddLF68mNTU1Gh3IyKHkIZJ5UigIVMR6Tc2TZ3S6X6kSF+K+hVifn4+xhjS09OZPn16rx5+KiIiEm1RvUIsLi5m+fLllJSUYIyhqKgomt2JiIj0Wp8tu9i4cSM333wzK1euDKu9ll2IiIjVDsmyi45PETfGUF5ejtPpjFZ3IiIiEYnaPcTa2lry8vIIBoO0traSkpJCYWFhtLoTERGJiCrViIjIUUOVakRERLoRUUL0er24XC7S0tLYtGlTaHtVVRU5OTlkZWWRk5PD5s2bI41TREQkqiJKiGPHjqW4uJgRI0Z02l5YWIjH46GiogKPx8Ps2bMjClJERCTaIkqIGRkZ+z3wt7a2Fr/fj9vtBsDtduP3+6mrq4ukKxERkaiy/B5iIBAgISEBm80GgM1mIz4+nkAgYHVXIiIiltGkGhEREaKQEBMTE6muriYYDAIQDAapqanZb2hVRESkP7E8IQ4bNgyn04nP5wPA5/PhdDoZOnSo1V2JiIhYJqKF+ffddx8vv/wyO3bsYMiQIcTFxbFixQoqKyspKCigsbERh8OB1+slOTm5R8fWwnwREbFaVwvzValGRESOGl0lxIhqmXq9XioqKti2bRtlZWWkpqYC4HK5sNvtxMbGAm3PRMzMzIykKxERkaiKKCGOHTuW3NxcJk2atN++xYsXhxKkiIhIfxdRQszIyLAqDhERkUMqao9/ys/PxxhDeno606dPx+FwRKsrERGRiEVlYX5xcTHLly+npKQEYwxFRUXR6EZERMQyUUmI7Yvw7XY7Ho+HdevWRaMbERERy1ieEJubm2lqalsyYYyhvLwcp9NpdTciIiKWsnxh/pIlS8jLyyMYDNLa2kpKSgqzZs0iPj6+R8fWOkQREbGaFuaLSL+2aeqU0MepTz97yOKQI19XCVFPuxARESHCZRf19fXcfffdfP7559jtdk499VSKiooYOnQoVVVVFBQU0NDQQFxcHF6vl6SkJIvCFhFpo6tLsUpEQ6YNDQ1s3LiRMWPGAG2l3Hbu3Mn9999Pbm4uEydOJDs7m9LSUkpKSli6dGnYx9aQqYiEQwlReiJqQ6ZxcXGhZAhw9tln8+WXX1JbW4vf78ftdgPgdrvx+/3U1dVF0p2IiEjUWFapprW1lRdeeAGXy0UgECAhIQGbzQaAzWYjPj6eQCCg5yKKiKV0VShWsWxSzdy5cxk0aBDXX3+9VYcUERHpM5ZcIXq9XrZs2cKSJUsYMGAAiYmJVFdXEwwGsdlsBINBampqQhVsRERE+puIrxAffvhh1q9fz2OPPYbdbgdg2LBhOJ1OfD4fAD6fD6fTqeFSERHptyKaZfrJJ5/gdrtJSkri2GOPBWDkyJE89thjVFZWUlBQQGNjIw6HA6/XS3JyctjH1ixTERGxmirViIhIWI70ZSyqVCMiItKNqFWqcblc2O12YmNjgbYHBmdmZloS9OHgSH+XJSJypIkoIcbExDB16tROlWoWLFjA/fffD8DixYtJTU2NPEoREekTR/Mb+IgS4oEq1bzwwgsRB9XucLzK6hiziIgcPqJSqaZdfn4+xhjS09OZPn06DofDqu4OC4dLEhcRkShWqikuLmb58uWUlJRgjKGoqMiqrkRERCxnybILr9fLxo0bWbJkSWhxfkcbN27k5ptvZuXKlWEfU8suRETEal0tu4h4yLS9Us0f//jHUDJsbm4mGAwyePBgjDGUl5fjdDoj7UpERCRqolKppqCggLy8PILBIK2traSkpDBr1izi4+PDPrauEEVExGqqVCMiIkKUh0xvueUWvvjiCwYMGMCgQYO49957cTqdVFVVUVBQQENDA3FxcXi9XpKSkiLtTkREJCoivkJsampi8OC2jPvqq6/y2GOP8dJLL5Gbm8vEiRPJzs6mtLSUkpISli5dGvZxdYUoIiJWi2ot0/ZkCLBr1y5iYmKora3F7/fjdrsBcLvd+P1+6urqIu1OREQkKixZmD9z5kxWr16NMYann36aQCBAQkICNpsNAJvNRnx8PIFAQM9EFBGRfsmShfnz5s3j9ddf58477+TBBx+04pAiIiJ9ytLHP02YMIE1a9YwfPhwqqurCQaDAASDQWpqakhMTLSyOxEREctElBB3795NIBAIfb5y5UpOPPFEhg0bhtPpxOfzAeDz+XA6nRouFRGRfiuiWaY7duzglltuYc+ePQwYMIATTzyRGTNmMHr0aCorKykoKKCxsRGHw4HX6yU5OTnsY2uWqYiIWE0L80VERIjysgsREZEjQdQq1bhcLux2O7GxsUDbsxEzMzMjDlhERCQaolapxuVysWTJElJTU3t1XA2ZioiI1fq8Uo2IiMjhJiqVatrl5+djjCE9PZ3p06fjcDis6E5ERMRyls4yXbZsGStWrOCpp54iEAiQmJhIS0sL8+bNY/fu3SxYsCDsY2nIVERErNZns0zbK9XU19eHqtLY7XY8Hg/r1q2zsisRERFLRTRkunv3bhobG0PJr71STWxsbGiyjTGG8vJynE6nJQGLSJtNU6eEPk59+tlDFofIkSKihLhnzx5uv/32TpVqlixZQm1tLXl5eQSDQVpbW0lJSaGwsNCqmEVERCwXUUI86aST+D//5/8ccN+yZcsiObSIiEifUuk2ERE5avTJpJpHH32UtLQ0Nm3aBEBVVRU5OTlkZWWRk5PD5s2brepKRETEcpYkxI8++oj33nuPU045JbStsLAQj8dDRUUFHo+H2bNnW9GViIhIVEScEFtaWigqKqKwsDBUpaa2tha/34/b7QbA7Xbj9/upq6uLtDsREZGoiDghLlq0iKuuuopRo0aFtgUCARISErDZbADYbDbi4+M7PUxYRESkP4koIb777rt8+OGHeDweq+IRERE5JCJKiGvXruWzzz5j7NixuFwuvvrqK2688UY+//xzqqurCQaDAASDQWpqakIL+EVERPqbiBLiTTfdxBtvvMHKlStZuXIlw4cP55lnnuGKK67A6XTi8/kA8Pl8OJ1Ohg4daknQIiIiVrPkaRcHMmfOHAoKCnj88cdxOBx4vd5odSUiIhIxLcwXEZGjRp897UJERORwFbVKNS6Xi8svv5zs7Gyys7P597//bVVXIiIilrPkHuKBKtUALF68mNTUVCu6kH7K6kcQtR9PjzMSkb4WlUo1Ir3RMbmKiPS1iK8QD1Sppl1+fj7GGNLT05k+fToOhyPS7kRERKIiolmm7777Lg8//DDPPfccMTExuFwulixZQmpqKoFAgMTERFpaWpg3bx67d+9mwYIFYR9bs0xFRMRqUZtlerBKNW+88UaoKo3dbsfj8bBu3bpIuhIREYkqS9chtl8hjhw5kmAwyODBgzHGsHDhQj799FMee+yxsI+lK0QREbFaV1eIUalUU1tbS15eHsFgkNbWVlJSUigsLIxGVyIicoSxevZ6uCxNiCtXrgx9vGzZMisPLSIiElURJ0SXy4Xdbic2NhZom1mamZlJVVUVBQUFNDQ0EBcXh9frJSkpKdLuREREoiLie4gdZ5Z2lJuby8SJE8nOzqa0tJSSkhKWLl0a9nF1D1FERKzW57VMa2tr8fv9uN1uANxuN36/n7q6umh0JyIiEjFL7iF+ewF+IBAgISEBm80GgM1mIz4+nkAgoGciiohIvxTxFWJxcTHLly+npKQEYwxFRUVWxCUi0qVNU6eE/olYIeKEeKAF+ImJiVRXVxMMBgEIBoPU1NSE2oqIiPQ3ESXE5uZmmpraJr8YYygvL8fpdDJs2DCcTic+nw8An8+H0+nUcKmIiPRbEc0y3bp1634L8GfNmkV8fDyVlZUUFBTQ2NiIw+HA6/WSnJwc9rE1y1RERKzW1SxTS0u3WUkJUURErNbnyy5EREQON1GrVHOw7SIiIv2RJesQFy9evF+lmq62i4iI9DcaMj0Kae2WiMj+LKllesIJJ3SqVONwOA66PVyaVBM9h+rRKiIih1pUZ5kGAgESExNpaWlh3rx57N69mwULFhx0e7iUEKOnPSEqGYrI0abPll1s3LiRm2++udNzEbva3hUlRBERsVrUll0crFLNwbaLiIj0VxHNMq2trd2vUk1hYeFBt4uIiPRXqlQjIiJHDVWqERER6UbEC/P37t3L/fffz5tvvklsbCxnn302c+fOpaqqioKCAhoaGoiLi8Pr9ZKUlGRByCIiItaLOCH+/ve/JzY2loqKCmJiYtixYwcAhYWFeDwesrOzKS0tZfbs2SxdujTigEVERKIhonuIu3fv5uKLL+Zf//oXxx9/fGh7bW0tWVlZrFmzBpvNRjAYZMyYMbz88sthPxNR9xBFRMRqXd1DjOgKcevWrcTFxfHoo4+yZs0ajj/+eG6//XaOPfZYEhISsNlsANhsNuLj4wkEAnpIsIiI9EsRTarZt28fW7du5fvf/z4vvvgi+fn55OXl0dzcbFV8IiIifSKihHjKKacwcOBA3G43AGeddRZDhgzh2GOPpbq6mmAwCEAwGKSmpobExMTIIxYREYmCiBLi0KFDGTNmDKtXrwagqqqK2tpakpKScDqd+Hw+AHw+H06nU8OlIiLSb0W8MH/r1q3cc889NDQ0MHDgQO644w4uvvhiKisrKSgooLGxEYfDgdfrJTk5OezjalKNiIhYrc+Ke1tJCVFERKwWtVmmcPCF+S6XC7vdTmxsLAD5+flkZmZG2p2IiEhURG1hPsDixYtJTU2NtAsREZGoiygh7t69m2XLlvGvf/2LmJgYAE466SRLApPo0QOCRUT2F9Es044L86+55homT57M22+/Hdqfn5/P+PHjmTNnDo2NjREHK9ZqT4wiIhKlhfm7du2iuLiY5cuXU1JSgjGGoqIiq2IWi+gKUUTk/4loyPRgC/Orqqo444wzALDb7Xg8Hm6++ebIoxVLKBGKiOwvKgvz4+PjaWpqWzZhjKG8vByn0xl5tCIiIlESlYX5ycnJ5OXlEQwGaW1tJSUlhVmzZhEfHx/2cbUOUURErKaF+SJHkI6ToTT8LdIzXSXEiIZMRUREjhQRTar54osvuPXWW0OfNzU1sWvXLt566y2qqqooKCigoaGBuLg4vF4vSUlJkcYrIiISFZYOmc6bN49gMMjs2bPJzc1l4sSJZGdnU1paSklJCUuXLg37WBoyFRERq/XJPcSWlhYuuuginnnmGYYPH05WVhZr1qzBZrMRDAYZM2YML7/8ctiPgFJCFBE5ON1L7p0+uYe4cuVKEhISGD16NIFAgISEBGw2GwA2m434+HgCgYBV3YmIiFjKsoRYUlLCxIkTrTqciIhIn4r4aRcA1dXVrF27lgcffBCAxMREqqurCQaDoSHTmpoaEhMTrehOROSop2FS61lyhfjSSy9x8cUXM2TIEACGDRuG0+nE5/MB4PP5cDqdYd8/FBER6WuWTKrJyspi5syZXHTRRaFtlZWVFBQU0NjYiMPhwOv1kpycHPYxNalGRESspko1IiIiqFKNiIhIt6JWqcblcmG324mNjQXaHhacmZkZWbQiIiJRElFCHDlyJKWlpaHP2yvVtFu8eDGpqamRdCEiItInLBsybWlpoaysTGsRRUTksGTJOkToXKmmXX5+PsYY0tPTmT59Og6Hw6ruRERELGXZLNNp06aRmZlJbm4uAIFAgMTERFpaWpg3bx67d+9mwYIFYR9Ps0xFRI4ufVGfNeqzTNsr1YwfPz60rb0qjd1ux+PxsG7dOiu6EhERiYqoVKppbm6mqantCs8YQ3l5OU6n04quREREosKSe4gvvfQSM2fODH1eW1tLXl4ewWCQ1tZWUlJSKCwstKIrERE5Qh3q+qyqVCMiIkeNqN5DXLVqFRMmTCA7O5vx48fz8ssvA1BVVUVOTg5ZWVnk5OSwefPmSLsSERGJmoiuEI0xnHvuuRQXF5OamsrHH3/MddddxzvvvMOUKVOYOHEi2dnZlJaWUlJSwtKlS8M+tq4QRUTEalG9QhwwYEBoAk1TUxPx8fHU19fj9/txu90AuN1u/H4/dXV1kXYnIiISFRFNqomJiWHhwoXccsstDBo0iN27d/Pkk08SCARISEjAZrMBYLPZiI+PJxAI6JmIIiLSL0V0hbhv3z6efPJJHn/8cVatWsUTTzzBnXfeSXNzs1XxiYiI9ImIEuKGDRuoqakhPT0dgPT0dI477jhiY2Oprq4OFfoOBoPU1NSEFuuLiIj0NxElxOHDh/PVV1/x2WefAVBZWcmOHTs49dRTcTqd+Hw+AHw+H06nU8OlIiLSY5umTulU1i1aIl6HuHz5cp566iliYmIA+M1vfsNll11GZWUlBQUFNDY24nA48Hq9JCcnh31czTIVERGr65t2NctUC/NFRKTfUkJECVFERKzXVUKMuJbpqlWrWLRoEcYYWltbycvLY9y4cbhcLux2O7GxsUDbsxEzMzMj7U5ERCQqIkqIxhjuvvvu/SrVXHbZZQAsXryY1NRUSwIVERGJpqhUqhkwwJKnSomIiPSZiO8hvvnmm9xxxx2dKtWcc845uFwuTjjhBIwxpKenM336dBwOR9jH1T1EERGxWtQm1ezbt4+pU6eSl5dHeno677zzDnfddRcrVqygsbGRxMREWlpamDdvHrt372bBggVhH1sJUURErBa14t4Hq1RTWVkZqkpjt9vxeDysW7cukq5ERESiKqJJNR0r1SQnJ4cq1SQkJNDU1MTgwYMxxlBeXo7T6bQqZhE5zFi9lkwkGiJKiCeffDJz5szh9ttvD1WqmT9/Pi0tLfzqV78iGAzS2tpKSkoKhYWFlgQsIiISDVqYLyJRpytE6S9UqUZERIQoTqoBeP3117n66qsZP348119/PVu3bgWgqqqKnJwcsrKyyMnJYfPmzZF2JSIiEjURXSHu3LmTcePG8be//Y3TTjuN0tJSli9fzjPPPENubi4TJ04kOzub0tJSSkpKWLp0adjH1hWiiIhYLWpXiFu2bOGkk07itNNOA+Diiy/mjTfeoLa2Fr/fj9vtBsDtduP3+6mrq4ukOxERkaiJKCGedtpp7Nixgw8++ACAsrIyAAKBAAkJCdhsNgBsNhvx8fEEAoEIwxUREYmOiJZdDB48mIcffpj58+ezd+9eLrroIhwOB83NzVbFJyLSiWasSrRE/PinCy64gAsuuACAHTt28MwzzzBixAiqq6sJBoPYbDaCwSA1NTWh6jUiIiL9TcSzTLdv3w5Aa2srDz30ENdeey0jRozA6XTi8/kA8Pl8OJ1Ohg4dGml3IiIiURHxOsSZM2eybt06vvnmGy688ELuueceYmNjqayspKCggMbGRhwOB16vl+Tk5LCPq1mmIiJiNS3MFxERIcoL80VERI4EEU+qef3111m0aBH79u3jxBNPZP78+YwaNQqXy4Xdbic2NhaA/Px8MjMzIw5YREQkGqJWqcblcrFkyRJSU1N7dWwNmYqIiNX6vFKNKtKIiMjhJmqVaqBtmHT8+PHMmTOHxsbGCEMVkb60aeqUTovgRY50ESXEjpVqrrnmGmpra3E4HAwcOJDi4mKWL19OSUkJxhiKioqsillEokyJUI5GUalUM2rUKAYNGgSA3W7H4/Fw8803R9qViIhI1EScELdv387JJ5/cqVINQFNTE4MHD8YYQ3l5OU6nM+JgRaRvqEaoHI0iTogLFy7sVKkmPz+fmpoa8vLyCAaDtLa2kpKSQmFhoRXxioiIRIUq1YiIyFEjomUXXq8Xl8tFWloamzZtCm2vqqoiJyeHrKwscnJy2Lx5c1j7RERE+qNuE+LYsWMpLi5mxIgRnbYXFhbi8XioqKjA4/Ewe/bssPaJiIj0R90mxIyMjP2eY1hbW4vf78ftdgPgdrvx+/3U1dV1uU9ERKS/6tWkmkAgQEJCAjabDQCbzUZ8fDyBQABjzEH36XmIIiLSX+lpFyIiIvTyCjExMZHq6mqCwSA2m41gMEhNTQ2JiYkYYw66T0REpL/q1RXisGHDcDqd+Hw+AHw+H06nk6FDh3a5T0REpL/qdh3ifffdx8svv8yOHTsYMmQIcXFxrFixgsrKSgoKCmhsbMThcOD1eklOTgbocl+4tA5RRESs1tU6RC3Ml36vY6FplRQTkUhE7XmIIiIiR4puJ9V4vV4qKirYtm0bZWVlpKamAm3VaAoKCmhoaCAuLg6v10tSUhIALpcLu91ObGws0PZcxMzMzOidxVFGV0wiItbrNiGOHTuW3NxcJk2a1Gl7ezWa7OxsSktLmT17NkuXLg3tX7x4cSh5ikRCSV9E+oLllWpEREQOR5ZXqmlfXpGfn48xhvT0dKZPn47D4bAu6qOcrphERKwXlUk1xcXFLF++nJKSEowxFBUVRaMbERERy/QqIXasVAPsV42m/X+73Y7H42HdunUWhSsiIhIdlleqaW5upqmpbQ2hMYby8nKcTqd1EYuIiESB5ZVqtm7dSl5eHsFgkNbWVlJSUpg1axbx8fE9CkwL80VExGqqVCMiIoIq1YiIiHSr24To9XpxuVykpaWxadOmbrdDWxWbnJwcsrKyyMnJYfPmzZYHLiIiYqVuE+LYsWMpLi5mxIgRYW2H/1fFpqKiAo/Hw+zZs62LWEREJAp6Vammq+2qYiMiIocjy+8hdlXFRkREpL/SpBoRERGikBC7q2IjIiLSH1meELuqYiMiItJf9bpSzcG2AwetYtMTWpgvIiJWU6UaERERuk6I3T4P0ev1UlFRwbZt2ygrKyM1NbXL7QAulwu73U5sbCzQ9mzEzMzMSM9DREQkLJumTgl9HO4zZLtNiGPHjiU3N5dJkyaFtb3d4sWLOyVJERGR/qzbhJiRkdGj7SIiIoejbhNib+Xn52OMIT09nenTp+NwOKLVlYiISCfhDpN2FJWF+cXFxSxfvpySkhKMMRQVFUWjG5HD3qapUzrd6xCRQycqCbF9Eb7dbsfj8bBu3bpodCNyxFBSFDn0LE+Izc3NNDW1LZkwxlBeXo7T6bS6GxEREUtZvjB/69at5OXlEQwGaW1tJSUlhVmzZhEfH9+jwLQOUURErKaF+SIiInSdEPW0CxEREcJIiF6vF5fLRVpaGps2bQKgvr6eadOmkZWVxfjx47nttts6PQC4qqqKnJwcsrKyyMnJYfPmzVE7ARERESt0mxDHjh1LcXExI0aMCG2LiYlh6tSpVFRUUFZWxqhRo1iwYEFof2FhIR6Ph4qKCjweD7Nnz45O9CIiIhbpNiFmZGTs9yzDuLg4xowZE/r87LPP5ssvvwSgtrYWv9+P2+0GwO124/f7O11BioiI9DcR30NsbW3lhRdewOVyARAIBEhISMBmswFgs9mIj48nEAhE2pWIiEjURJwQ586dy6BBg7j++uutiEdEROSQiKiWqdfrZcuWLSxZsoQBA9pya2JiItXV1QSDQWw2G8FgkJqamv2GXUVERPqTXifEhx9+mPXr1/PHP/4Ru90e2j5s2DCcTic+n4/s7Gx8Ph9Op5OhQ4dGHGxvnm8lIiISjl5Vqlm4cCFut5ukpCSOPfZYAEaOHMljjz0GQGVlJQUFBTQ2NuJwOPB6vSQnJ/cosAMtzFdCFBGRSBwxlWqUEEXEKvp7cnTqKiFG7XmI0aAfWhERiZZuE6LX66WiooJt27ZRVlZGamoq9fX13H333Xz++efY7XZOPfVUioqKQvcJXS4Xdrud2NhYoO1hwZmZmdE9ExERkQh0O2T69ttvM2LECCZNmsSSJUtITU2loaGBjRs3hhbne71edu7cyf333w+0JcT2tr2l4t4iImK1iIp797RSjYiIyOEo4nuI365U0y4/Px9jDOnp6UyfPh2HwxFpVyIiIlETlUo1xcXFLF++nJKSEowxFBUVRdqNSL+yaeqU0D8ROTJElBDbK9UsXLgwVKkGCA2x2u12PB4P69atiyxKERGRKLO8Uk1zczPBYJDBgwdjjKG8vByn02lJsCIiItFieaWarVu3kpeXRzAYpLW1lZSUFGbNmkV8fHyPAtMsUxERsdoRU6lGREQkEhEtuxARETkadJsQvV4vLpeLtLQ0Nm3aFNp+yy23cNVVVzFhwgQ8Hg8bNmwI7auqqiInJ4esrCxycnLYvHlzVIIXERGxSq8q1QA0NTUxeHDbpeerr77KY489xksvvQRAbm4uEydOJDs7m9LSUkpKSli6dGmPAusvQ6YqACwicuSwvFINEEqGALt27SImJgaA2tpa/H4/brcbALfbjd/vp66urseBi4iI9JWIKtXMnDmT1atXY4zh6aefBiAQCJCQkIDNZgPAZrMRHx9PIBCw5CHBHenqTURErBJRQpw3bx4Ay5Yt48EHH+Spp56yJKj+RIlWROToYMks0wkTJrBmzRrq6+tJTEykurqaYDAIQDAYpKam5oDDriIiIv1Fr64Qd+/eTWNjYyjJrVy5khNPPJG4uDhiYmJwOp34fD6ys7Px+Xw4nU7Lh0tBV28iImKdXlWqee6557jlllvYs2cPAwYM4MQTT2TGjBmMHj0agMrKSgoKCmhsbMThcOD1eklOTu5RYP1llqmIiBw5VKlGRESErhNit0OmXq+XiooKtm3bRllZWWgd4i233MIXX3zBgAEDGDRoEPfee2+oiLfL5cJutxMbGwu0PRsxMzPTinMRERGJim4T4tixY8nNzWXSpEmdtnu93k4L8++5557QwnyAxYsXh5KniIhIf9dtQszIyDjg9oMtzBcRETkcWb4wv11+fj7GGNLT05k+fToOhyOiQEVERKIp7Ek1LperUy3TjpYtW8aKFStCC/MDgQCJiYm0tLQwb948du/ezYIFC3oUmCbVyOFMVZRE+qeoP/6p48J8ILQ+0W634/F4WLdunRXdiIiIRI3lC/Obm5sJBoMMHjwYYwzl5eWh2ady+NGVjogcLbpNiB0X5t9www2hhfm33357p4X5S5YsISYmhtraWvLy8ggGg7S2tpKSkkJhYWFfnItIv6E3DyKHHy3MD9PReqV0tJ63iByZIlqYL0c3JUEROVp0O6nG6/XicrlIS0tj06ZN++1/9NFH99tXVVVFTk4OWVlZ5OTksHnzZkuDFhERsVq3CXHs2LEUFxczYsSI/fZ99NFHvPfee5xyyimdthcWFuLxeKioqMDj8TB79mzrIj5EUp9+NvRPRESOPN0mxIyMjAM+y7ClpYWioiIKCws7Vampra3F7/fjdrsBcLvd+P1+6urqLAxbROTotGnqlNA/sVav1yEuWrSIq666ilGjRnXaHggESEhIwGazAWCz2YiPjycQCEQWqYiISBT1KiG+++67fPjhh3g8HqvjEREROSR6Nct07dq1fPbZZ4wdOxaAr776ihtvvJH58+fjdDqprq4mGAxis9kIBoPU1NQccNhVRER6RvMYoqdXCfGmm27ipptuCn3+7TqnTqcTn89HdnY2Pp8Pp9PJ0KFDrYlYREQkCnpVqWbFihVdfs2cOXMoKCjg8ccfx+Fw4PV6LQtYREQkGlSpRkREjhpRf9qFiIjI4S4qlWpcLheXX3452dnZZGdn8+9//9vaqEVERCzW7T3EsWPHkpuby6RJk/bbd7BKNQCLFy8+4MOERURE+qNuE2JGRsYBt7dXqlmwYAG/+MUvLA9MRA4/ejqKHM56/bSLg1WqaZefn48xhvT0dKZPn47D4eh1kCIiItEWlUo1xcXFLF++nJKSEowxFBUVRRSkiIhItFleqeZHP/pRqCqN3W7H4/Fw8803WxexiPRbGiaVw5nllWqam5sJBoMMHjwYYwzl5eU4nU7LAhYREYkGyyvV1NbWkpeXRzAYpLW1lZSUFAoLCy0NWkRExGqqVCMiIkeNrirVdHuF6PV6qaioYNu2bZSVlYXWFrpcLux2O7GxsUDbrNLMzEwAqqqqKCgooKGhgbi4OLxeL0lJSRacioiISHREtDD/YIvvCwsL8Xg8ZGdnU1payuzZs1m6dKk1EYuIiERBt8suMjIyevQsw9raWvx+P263GwC3243f76eurq73UYqIiERZrxfmw4EX3wcCARISErDZbADYbDbi4+MJBAJ6JqKIiPRbvX7ahRbfi4jIkaTXCfHbi+/XrVsX2l5dXU0wGAQgGAxSU1PTo2FXERGRvtarhNjc3ExTU9uyiG8vvh82bBhOpxOfzweAz+fD6XRquFRERPq1btchdlyYP2TIEOLi4liyZMl+i+9nzZpFfHw8AJWVlRQUFNDY2IjD4cDr9ZKcnNyjwLQOUURErNbVOkQtzBcRkaNGVwmx1/cQRUREjiRRqVTT1T4REZH+KCqVarrbJyIi0t90mxAzMjL6Ig4REZFDyvJKNeHsExER6W+iUqlGVWxERORwY3mlmu72iYiI9EeWV6rpap+IiEh/1e09xI6Vam644YaDVqopLCwE2h7/dLB9IiIi/ZUq1YiIyFFDlWpERES60W1C9Hq9uFwu0tLS2LRpU2j73r17KSwsZNy4cYwfP5577703tK+qqoqcnByysrLIyclh8+bNUQleRETEKr2uVPP73/+e2NhYKioqiImJYceOHaF9hYWFeDwesrOzKS0tZfbs2SxdutT66EVERCzS7RViRkbGfg/33b17N8uWLeP2228nJiYGgJNOOglom1Tj9/txu90AuN1u/H4/dXV1VscuIiJimV7dQ9y6dStxcXE8+uijXHPNNUyePJm3334bgEAgQEJCAjabDQCbzUZ8fDyBQMC6qEVERCzWq4S4b98+tm7dyve//31efPFF8vPzycvLY9euXVbHJyIi0id6lRBPOeUUBg4cGBoWPeussxgyZAhVVVUkJiZSXV1NMBgEIBgMUlNTs9+wq4iISH/Sq4Q4dOhQxowZw+rVq4G2WaW1tbWceuqpDBs2DKfTic/nA8Dn8+F0Ohk6dKh1UYuIyBFv09QpbJo6pc/663ZhfsdKNUOGDCEuLo4VK1awdetW7rnnHhoaGhg4cCB33HEHF198MQCVlZUUFBTQ2NiIw+HA6/WSnJzco8C0MF9E5OjWngxTn37WsmN2tTBflWpERKRfUkL8/ykhioiI1bpKiN0uzPd6vVRUVLBt2zbKyspITU0F2irV3H///bz55pvExsZy9tlnM3fuXABcLhd2u53Y2Fig7WHBmZmZVpyLiIhIVESlUg3A4sWLQ8lTRESkOx0n0Fg5TBqubhNiRkbGftvaK9X861//2q9SjYiIyOGo24R4IB0r1axZs4bjjz+e22+/vVPyzM/PxxhDeno606dPx+FwWBa0iIiI1XqVEDtWqpkxYwbvv/8+v/71r3nllVc44YQTKC4uJjExkZaWFubNm0dRURELFiywOnYRETmCHIph0o4sr1QDhKrS2O12PB4P69atsyhcERGR6LC8Uk1zczNNTW1LJowxlJeX43Q6rYtYREQkCiyvVLN161by8vIIBoO0traSkpLCrFmziI+P71FgWocoIiJW08J8ERERorAw/4svvuDWW28NtWlqamLXrl289dZbQNsQakFBAQ0NDcTFxeH1eklKSor8TEREunGo17LJ4atXC/NHjhxJaWlp6PN58+aFHvcEUFhYiMfjITs7m9LSUmbPns3SpUstDl1ERMQ63U6qycjI6PJZhi0tLZSVlTFx4kQAamtr8fv9oRmobrcbv99PXV2dRSHL0a79kTB9+VgYETny9WodYkcrV64kISGB0aNHAxAIBEhISMBmswFgs9mIj48nEAjomYgiEnUaJpXe6tWyi45KSkpCV4ciIiKHq4iuEKurq1m7di0PPvhgaFtiYiLV1dUEg0FsNhvBYJCampouh11FekJXACISDRFdIb700ktcfPHFDBkyJLRt2LBhOJ1OfD4fAD6fD6fTqeFSERHp13q9MB8gKyuLmTNnctFFF3X6msrKSgoKCmhsbMThcOD1eklOTu5RYFqHKCIiVtPCfBEREbpOiBFPqhERETkSRKVSjcvlwm63ExsbC7Q9GzEzMzNKpyAiIhK5qFSqAVi8eDGpqakWhioiIhI93SbEjIyMLve3V6p55plnLAtKRESkr1leqaZdfn4+xhjS09OZPn06Docj0q5ERESiJiqVaoqLi1m+fDklJSUYYygqKoq0GxERkaiKKCG2V6oZP358p+3tVWnsdjsej4d169ZF0o2IiEjUWV6pprm5maamtjWExhjKy8txOp2RRSkiIhJl3d5D7Fip5oYbbuhUqeall15i5syZndrX1taSl5dHMBiktbWVlJQUCgsLoxO9iIiIRVSpRkREjhqqVCMiItKNbhOi1+vF5XKRlpbGpk2bQttXrVrFhAkTyM7OZvz48bz88suhfVVVVeTk5JCVlUVOTg6bN2+OSvAiIiJW6XbI9O2332bEiBFMmjSJJUuWkJqaijGGc889l+LiYlJTU/n444+57rrreOeddxgwYAC5ublMnDiR7OxsSktLKSkpYenSpT0KTEOmIiJitYiGTDMyMg74cN8BAwaEZpM2NTURHx/PgAEDqK2txe/343a7AXC73fj9furq6nobv4iISNT1qlJNTEwMCxcu5JZbbmHQoEHs3r2bJ598EoBAIEBCQgI2mw0Am81GfHw8gUBADwkWEZF+q1cJcd++fTz55JM8/vjjpKen884773DnnXeGlmMcjTZNnRL6OPXpZw9ZHCIi0ju9mmW6YcMGampqSE9PByA9PZ3jjjuOyspKEhMTqa6uDj39IhgMUlNTc8BhVxERkf6iV1eIw4cP56uvvuKzzz4jOTmZyspKduzYwXe+8x3i4uJwOp34fD6ys7Px+Xw4nc4jfrhUV4UiIoe3bmeZdqxUM2TIkFClmuXLl/PUU08RExMDwG9+8xsuu+wyACorKykoKKCxsRGHw4HX6yU5OblHgWmWqYiIWK2rWaaqVCMiIkeNrhJit0OmXq+XiooKtm3bRllZGampqUDbwvxFixZhjKG1tZW8vDzGjRsHgMvlwm63ExsbC7Q9GzEzM9OKcxEREYmKbhPi2LFjyc3NZdKkSaFtxhjuvvvu/RbmX3bZZQwY0DZPZ/HixaHkKSIi0t91mxAzMjIOuP1gC/NFREQOR5YvzG+Xn5+PMYb09HSmT5+Ow+GwJGAREZFo6NUlXceF+atWreKJJ57gzjvvZPfu3QAUFxezfPlySkpKMMZQVFRkadAiIiJWs3xhPhBahG+32/F4PKxbt86icEVERKKjVwmx48J8oNPC/Obm5tC9RWMM5eXlOJ1O6yIWERGJAssX5m/dupW8vDyCwSCtra2kpKQwa9Ys4uPjexSY1iGKiIjVtDBfRESECJ+HKCIicjToNiF6vV5cLhdpaWls2rQptP3111/n6quvZvz48Vx//fVs3bo1tK+qqoqcnByysrLIyclh8+bNUQleRETEKt0mxLFjx1JcXMyIESNC23bu3MmMGTN46KGHKCsr42c/+xlz5swJ7S8sLMTj8VBRUYHH42H27NlRCV5ERMQq3SbEjIyM/Z5luGXLFk466SROO+00AC6++GLeeOMN6urqqK2txe/343a7AXC73fj9furq6qIQvoiIiDV6dQ/xtNNOY8eOHXzwwQcAlJWVARAIBAgEAiQkJGCz2QCw2WzEx8cTCAQsCllERMR6vSrdNnjwYB5++GHmz5/P3r17ueiii3A4HAwcOJBvvvnG6hhFRESirlcJEeCCCy7gggsuAGDHjh0888wzjBo1ij179lBdXU0wGMRmsxEMBqmpqdlv2FVERKQ/6fWyi+3btwPQ2trKQw89xLXXXsugQYMYNmwYTqcTn88HgM/nw+l0MnToUGsiFhERiYJeV6qZOXMm69at45tvvuHCCy/knnvuCT0QuLKykoKCAhobG3E4HHi9XpKTk3sUmBbmi4iI1VSpRkREBFWqERER6Va3k2q8Xi8VFRVs27aNsrIyUlNTgbZKNYsWLWLfvn2ceOKJzJ8/n1GjRgHgcrmw2+2hIdT8/HwyMzOjeBoiIiKR6TYhjh07ltzcXCZNmhTa1l6p5m9/+xunnXYapaWlzJkzh2eeeSbUZvHixaHkKSIi0t9ZXqlGRETkcGR5pZp2+fn5jB8/njlz5tDY2GhBqCIiItHTq4TYsVLNNddcQ21tbahSDUBxcTHLly+npKQEYwxFRUWWBi0iImI1yyvVAKEhVrvdjsfj4eabb7YgVBERkejpdULcvn07J5988n6VapqbmwkGgwwePBhjDOXl5TidTitjFumRTVOnhD5OffrZQxaHSLjaf2b189q3uk2IHSvV3HDDDaFKNQsXLuxUqSY/Px+A2tpa8vLyCAaDtLa2kpKSQmFhYdRPREREJBKqVCPAkX8VtWnqlCPyvESkZ7qqVNPtFWJ9fT133303n3/+OXa7nVNPPZWioiKGDh1KVVUVBQUFNDQ0EBcXh9frJSkpCaDLfSJ9TclQ+qMj/Y3o4abbK8SGhgY2btzImDFjgLbKNTt37uT+++8nNzeXiRMnkp2dTWlpKSUlJSxduhSgy33h0BWiiBzplBD7XkS1TOPi4kLJEODss8/myy+/pLa2Fr/fj9vtBsDtduP3+6mrq+tyn0h/tmnqlNA/ETm69GiWaWtrKy+88AIul4tAIEBCQgI2mw0Am81GfHw8gUAAY8xB9+m5iCIibXRV2L/0aGH+3LlzGTRoENdff3204hERETkkwr5C9Hq9bNmyhSVLljBgwAASExOprq4mGAxis9kIBoPU1NSQmJiIMeag+0T6M71jFzl6hXWF+PDDD7N+/Xoee+wx7HY7AMOGDcPpdOLz+QDw+Xw4nU6GDh3a5T4REZH+qNtZpp988glut5ukpCSOPfZYAEaOHMljjz1GZWUlBQUFNDY24nA48Hq9JCcnA3S5LxyaZSoiIlbrapapFuaLiMhRI6JlFyIiIkeDqFWqcblc2O12YmNjgbbnI2ZmZkb1ZERERHorapVqXC4XS5YsITU1tVeBachURESs1ueVakRERA43UalU0768Ij8/H2MM6enpTJ8+HYfDYf0ZiIiIWCBqlWqKi4tZvnw5JSUlGGMoKirqdZAiIiLRFnZCbK9Us3Dhwv0q1QD7VaNp/99ut+PxeFi3bl0UwhcREbFGVCrVNDc309TUNinGGEN5eTlOpzNKpyAiVtBTPuRoF5VKNVu3biUvL49gMEhrayspKSnMmjWL+Pj4sAPTLFORvtWeDFXPVY5kqlQjIt1SQpSjgRKiiIgIKt0mIiLSLSVEERER+vGQqYiISF/SFaKIiAhKiCIiIoASooiICKCEKCIiAighioiIAEqIIiIigBKiiIgIoIQoIiICKCGKiIgASogiIiIADDzUAXRUX1/PV199BcDw4cMZMmTIIY5IRESOFv0iIX7++efce++9+P3+0EOEa2pq+P73v8/vfvc7kpKSAFi9ejUXXnghAE1NTRQVFfHuu+/idDopLCzkpJNOilqMVidrK493tMR2tJyniLTp69+rflHc+9prr8Xj8eB2uxkwoG0Ut7W1lbKyMv7617/y97//HYCrr76al156CYCioiJaW1vxeDysWLGCLVu2sHDhwk7HteLFtDpZh3M8K491JMR2tJxnR/05WSu2Q3+8/nosq45n5e9oj5h+ICsrK6x92dnZoY+vuuoq09LSEvrc7XaHPt6yZYvJzc01GRkZ5oorrjBXXHGFycjIMLm5uaaqqirU7o033gh93NjYaPLz883YsWPNbbfdZrZv326MMSYnJ8eUlpaaYDAYahsMBs2yZcvMz3/+89C2CRMmhD7+3e9+ZwoLC83GjRvNQw89ZG6//fbQvnCOZ+WxjoTYjpbzNMban10rj3UkxHYozrM/x9afz9PK39Ge6BcJMScnx5SVlZnW1tbQttbWVlNaWmp+9rOfhbb95Cc/MZ9++qn55JNPOiVHY9oSZMfjWfVHyupkHc7xrDzWkRDb0XKexhz+byT6c2x6o3n4fA+s/B3tiX5xD/GBBx6gsLCQoqIiEhISAKiuruZ73/seDzzwQKjd119/zU033YT5/0d5q6urSUhIYNeuXaGhVoCGhgauuuqqTn0MGDCA7OxsnnjiidA202G0+J133uGf//wnxxxzDKmpqYwfPx6AuLg4fD4fV155JTExMaGvKysrw+FwhL6+paWFyspKjDHExMRwzDHHdOq7XTjHs/JYR0JsR8t5grU/u1Ye60iI7VCcZ3+OrT+fp5W/oz3RLxJiUlISzz33HHV1dQQCAQASExMZOnRop3YrV6484NfbbDYWL14c+tzKP1I9SdbTpk0LfX6wZP3t4xljqK6uxul0ho7X22P1VWzhvCk50LFqamp69SZn/vz5zJkzx/Lz/N3vfsfw4cMPeLzeHutAr1lPjne4v5Hoz7Hpjebh8z0I529buH+LeqJfTKqx2ubNmyksLGTDhg37vZhz5swhOTkZAJfLRUxMTOgFfeGFF0Iv6OTJk0MTeIBuk/XB7Nmzhx07djBq1KhO23t6vJ07dxIbG8v27du7PNbnn3/OT37yk27j+p//+R9+8IMfdHu8cM/166+/7vJYzc3NxMbGkpyczAknnHDQ4+zevZvNmzdz8skns3fv3k7Hi9b3oD22pKSkTn8I2n9p249RWVlJfHz8fnF9+1gjR44kMTHxgLG0TzgYOHBg6BgdXzcrf3at/j043GM7FOfZn2Prz+fZrje/8wf7fQ9LrwZaDxO1tbVm/fr1Zv369aa2tjbsr2tubjZbt241xhhTV1dnZs6caW644Qbz/PPPd2p32223hT4Ot92GDRvM1VdfbSZOnGg+/fRTM23aNHPmmWeaiy66yPj9/k5tfvrTn+7XZsOGDaFjffLJJ/v9u+iii0L3WXva7mA3vPPy8kI3vDu2aWpqOuhN8XvvvTf0mr/99tvm/PPPN1deeaU577zzzL///e8DtnvnnXfM+eefb6644opO7c4991wzd+7cTud+IOG2e/nll80555xjsrKyzHvvvWcuueQS85Of/MSce+655rXXXjPGGPPKK6+Yc845x1x++eUHbWOMMV988YW58cYbzfe+9z3zve99z5x77rnmzDPPNPPnzzd79+7tcbt2kfzsfv7551E71pEYW1+cZ3+OrT+fZ11dnfH7/cbv95u6uroDfm04bcJ1RCfEAwn3Zmt7u7y8POP1ek1FRYWZMmWKufXWW80333xjjOl8UzfcdpMmTTKvvvqqeemll8wll1xiSktLjTHGvPbaa+YXv/hF2G2MMSYtLc1ceumlnf59//vfN5deeqlxuVw9bhfODe+ObebMmXPQm+Ljx48PfTx58mTz/vvvG2OM+eyzz8zVV1/do3aXXnqpmTdvnjnvvPPMhAkTzF/+8hfT0NCw3/cs3HZXXXWV+fjjj81bb71lzj33XPPOO+8YY4z59NNPQ9+rcNoYY8z1119vSktLTUNDg1m6dKlZtGiR2bFjh7nnnnvMnDlzetyuXbi/5Fb+MTjUDvS9iqTd6tWrLWljtV27dpn169ebpqamiNpYrbm52Xz44Ydm586dEbWrr683fr/fbNq0yezZs6dXbcKZsRruLNmeOCIT4oGuiD755BOzadMmc+GFF3bb7pNPPgm16zh7tbW11cyZM8f88pe/NF9//fV+s5zCadcxoVxyySWd4m5vF04bY4x55JFHzNSpU80XX3wR2nbppZfu93qE2y6cWVvhzuwaN25c6ONrrrmmUz89bdf+erS0tJj/+q//MtOmTTNnn322ueOOOzpdsYbbruM5fPt1aN8XThtjOid0Y4yZOHGiMaZtdt2Pf/zjHrcL95c80j8GPX1jaExb8r3nnnvCGi1pb/eXv/zlgO3CGSnpSbtwRkEiHSn59ihIuO0ONFry7VGQcNoY8/9GQTqe+4GE0y6ckZKetGsfBUlLSzvoKEg4bYwJb8ZquLNke6JfTKqxmtvtZsSIEZ1mNLVraGjoUbuWlpbQtpiYGAoLC/F6vdx0003s3bs3tC/cdh37al9U2q61tTXsNgC33XYbfr+fu+66i+zsbK677rrQPa+Owm0Xzg3vcG+Kn3/++TzwwAPcfvvtjBkzhvLycq644gpWr15NXFxcj9sBHHPMMVx++eVcfvnl1NTU8OKLLzJ37lz++7//u0ftYmJiqKyspLGxkebmZt577z3OPvtsqqqqCAaDYbcBGDhwIJ9//jnf+c53WL9+PXa7PfRaDBw4sMft7r77bjweD3/+85/3K1IxY8aMUJGKcNp9+umn+32P29XX14c+DrddYWEhI0eO5OKLL+aFF17gzTffZOHChQwcOJCtW7cetN3//u//7tfuvvvu49Zbb6WpqYmpU6dy55138sc//pGVK1fi9Xp59tlne9TO7XZzyimndIp9x44dTJs2jZiYGF577bWw2gAsWLAg9Hv38MMPc/zxx/P444+zYsUK7rvvvlABkHDbvffee6F7X4sWLWLJkiWceeaZVFVVcdddd/GjH/0orDYAxx9/PAMGDOCXv/wlw4cPZ+LEiYwfP54TTzyx03mF0+7RRx/lhRdeoLGxkZtuuoknnniCH/zgB1RWVnLXXXfhcrl61K6goICf/exn/OEPf2D58uXU19czadIkHnroIebPn09hYWFYbSC8GavhzpLtkV6l0X7O5XKZr7766oD7Lrrooh61mzZtmnnrrbf22//QQw+Z733ve6HPw213yy23HHAYJBAIhN7VhNOmo71795rf//73Jjc312RmZh7wfMJp1z6E2j6s2v7aNDU1ha6+wmnT3tfcuXNNRkaGueyyy0xaWpoZPXq0+eUvf9npXkE47b695vRgwm23cuVK88Mf/tCMGTPG/M///I+ZMmWKufLKK016eropKysLu40xxqxatcqMGTPGuN3uUFtjjNm+fbuZOXNmj9uFu64xnHZpaWmdvlcd/40ePTrUPtx2Vo6WhDsKYuVoiZUjJT1pF84oSLgjKlaOloQ7CmLlaEm4IyXhrE0Pd/16TxyRCfGBBx4I3fP5trlz5/aoXX19/UHvWXQcZgm33cHs3r3b7NixI6I27777rnnyySe77Svcdu0OdsM7nDa7d+82GzZsMOvXr+/yHldX7Tr+AetKuO2+bd++febDDz/sNMzVkzY7d+40H3zwQbf3e8JpF+4veTjtrHxjaIwxl19++X77H3jgAZObm9tpXzjtOv4h7fiGwJjOfzTDbWeMMR999JHJyckxf/3rX0Pn9W3htAm3AEi47QoLC838+fNNc3Oz8Xq9ZsWKFcaYtiHX66+/Puw2xnR+g9CuurraPPHEE53eJIXTbsKECebTTz8169atM2PGjDHvvvuuMabt/v23k3A47a6++mqzZcsWY4wxH374obnuuus6vVbhtjHGmKqqKpObm2t++MMfGrfbbdxut/nhD39oJk+ebCorK8Nu01NHZEIUOVyF+0seTjsr3xga0/UoSFpaWo/ahTsKEo3REitGSnrSLpxRkHBHVKwcLelqFGT58uU9bhfOKEi4IyXtwpmx2ttZsgdyRK5DFDnchbv+qrdrM3ujoaGBmJiY/e5XQdt9yO9+97s9ancgzc3NfP31192eR3ft3nvvPd566y1uuummgx4jnDYd7dmzh9raWkaOHNmrds3NzXz++ecEg0FOOeWUAxa97q7Ntm3bGDFiRLexhtuuo2AwyIYNGxg+fHiXhbG7atfY2MiWLVs47bTTDrreOJw29fX1/OEPf+DLL79k7NixTJo0KbQvLy+PRx55JKw2PRZROhWRPtObmaF9cSyr2x0tfYbb7mjsM5xlbOEudeuJI3KWqcjh6mAzPo0xYc0M7djO6lmmVrY7Wvrsql0436twv++9ia0/fw+2bNkSKsf54x//mKKiIn71q1/x+OOP96hNTykhivQjVi4ZsvJYR0Jsej0Onz7DWcYW7lK3HunVdaWIRIWVM0OtnmV6uMem1+Pw6TOcZWzhLnXrid6VBBeRqBg3bhzbtm074L4f//jHPWpn5bGOhNj0ehw+fT744IOkpqbu1+bOO++krKws7DY9pVmmIiIigK4QRUREUEIUEREBlBBFREQAJUQRERFACVFERASA/w9jl/k9EZSf+wAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 720x540 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot the correlation matrix with ONLY THE 0s!\n",
+    "cmap1 = mpl.colors.ListedColormap(['r'])\n",
+    "\n",
+    "plt.figure(figsize = (10, 7.5))\n",
+    "plt.xticks(rotation=270)\n",
+    "_ = sns.heatmap(pli_alpha1_diagNaN, mask=pli_alpha1_diagNaN!=0, cmap=cmap1, cbar=False,\n",
+    "                square=True, xticklabels=5, yticklabels=5)\n",
+    "_.set_title('Empty regions - PLI alpha1', size=15, fontweight='bold')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a id='occ-network'></a>\n",
+    "### c. The occipital network"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### The BNA is originally ordered left-right left-right; we'll re-order it to be all left-hem regions first, and all right-hem regions after that - and simultaneously we'll group regions belonging to the same Yeo subnetwork together."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#REVIEW Idea: More info as to why we want to do these steps"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.DataFrame(mean_pli_alpha1_diagNaN)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
+       "      <th>1</th>\n",
+       "      <th>2</th>\n",
+       "      <th>3</th>\n",
+       "      <th>4</th>\n",
+       "      <th>5</th>\n",
+       "      <th>6</th>\n",
+       "      <th>7</th>\n",
+       "      <th>8</th>\n",
+       "      <th>9</th>\n",
+       "      <th>...</th>\n",
+       "      <th>200</th>\n",
+       "      <th>201</th>\n",
+       "      <th>202</th>\n",
+       "      <th>203</th>\n",
+       "      <th>204</th>\n",
+       "      <th>205</th>\n",
+       "      <th>206</th>\n",
+       "      <th>207</th>\n",
+       "      <th>208</th>\n",
+       "      <th>209</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.126221</td>\n",
+       "      <td>0.260742</td>\n",
+       "      <td>0.138550</td>\n",
+       "      <td>0.336548</td>\n",
+       "      <td>0.360474</td>\n",
+       "      <td>0.261353</td>\n",
+       "      <td>0.219238</td>\n",
+       "      <td>0.212402</td>\n",
+       "      <td>0.295166</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.231323</td>\n",
+       "      <td>0.194336</td>\n",
+       "      <td>0.520630</td>\n",
+       "      <td>0.408203</td>\n",
+       "      <td>0.202271</td>\n",
+       "      <td>0.138916</td>\n",
+       "      <td>0.229858</td>\n",
+       "      <td>0.274170</td>\n",
+       "      <td>0.457275</td>\n",
+       "      <td>0.228149</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.126221</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.182983</td>\n",
+       "      <td>0.213867</td>\n",
+       "      <td>0.239990</td>\n",
+       "      <td>0.236206</td>\n",
+       "      <td>0.323853</td>\n",
+       "      <td>0.390259</td>\n",
+       "      <td>0.322144</td>\n",
+       "      <td>0.562622</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.300293</td>\n",
+       "      <td>0.245605</td>\n",
+       "      <td>0.365845</td>\n",
+       "      <td>0.353394</td>\n",
+       "      <td>0.326294</td>\n",
+       "      <td>0.154541</td>\n",
+       "      <td>0.310791</td>\n",
+       "      <td>0.303711</td>\n",
+       "      <td>0.366455</td>\n",
+       "      <td>0.390625</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.260742</td>\n",
+       "      <td>0.182983</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.173462</td>\n",
+       "      <td>0.405396</td>\n",
+       "      <td>0.145386</td>\n",
+       "      <td>0.309448</td>\n",
+       "      <td>0.183960</td>\n",
+       "      <td>0.184448</td>\n",
+       "      <td>0.202759</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.341064</td>\n",
+       "      <td>0.276001</td>\n",
+       "      <td>0.386475</td>\n",
+       "      <td>0.321045</td>\n",
+       "      <td>0.327148</td>\n",
+       "      <td>0.249634</td>\n",
+       "      <td>0.192017</td>\n",
+       "      <td>0.273315</td>\n",
+       "      <td>0.250000</td>\n",
+       "      <td>0.213867</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.138550</td>\n",
+       "      <td>0.213867</td>\n",
+       "      <td>0.173462</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.249023</td>\n",
+       "      <td>0.263794</td>\n",
+       "      <td>0.354370</td>\n",
+       "      <td>0.355225</td>\n",
+       "      <td>0.135620</td>\n",
+       "      <td>0.177612</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.165405</td>\n",
+       "      <td>0.387939</td>\n",
+       "      <td>0.211548</td>\n",
+       "      <td>0.129761</td>\n",
+       "      <td>0.308350</td>\n",
+       "      <td>0.302979</td>\n",
+       "      <td>0.220947</td>\n",
+       "      <td>0.504150</td>\n",
+       "      <td>0.337158</td>\n",
+       "      <td>0.503662</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.336548</td>\n",
+       "      <td>0.239990</td>\n",
+       "      <td>0.405396</td>\n",
+       "      <td>0.249023</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.162109</td>\n",
+       "      <td>0.313477</td>\n",
+       "      <td>0.215332</td>\n",
+       "      <td>0.231079</td>\n",
+       "      <td>0.284058</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.217041</td>\n",
+       "      <td>0.223389</td>\n",
+       "      <td>0.210327</td>\n",
+       "      <td>0.357788</td>\n",
+       "      <td>0.226440</td>\n",
+       "      <td>0.228882</td>\n",
+       "      <td>0.200806</td>\n",
+       "      <td>0.179688</td>\n",
+       "      <td>0.209839</td>\n",
+       "      <td>0.251221</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>205</th>\n",
+       "      <td>0.138916</td>\n",
+       "      <td>0.154541</td>\n",
+       "      <td>0.249634</td>\n",
+       "      <td>0.302979</td>\n",
+       "      <td>0.228882</td>\n",
+       "      <td>0.255005</td>\n",
+       "      <td>0.188843</td>\n",
+       "      <td>0.261841</td>\n",
+       "      <td>0.143433</td>\n",
+       "      <td>0.253296</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.342285</td>\n",
+       "      <td>0.179810</td>\n",
+       "      <td>0.306396</td>\n",
+       "      <td>0.550293</td>\n",
+       "      <td>0.356201</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.525024</td>\n",
+       "      <td>0.322998</td>\n",
+       "      <td>0.328979</td>\n",
+       "      <td>0.183594</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>206</th>\n",
+       "      <td>0.229858</td>\n",
+       "      <td>0.310791</td>\n",
+       "      <td>0.192017</td>\n",
+       "      <td>0.220947</td>\n",
+       "      <td>0.200806</td>\n",
+       "      <td>0.293457</td>\n",
+       "      <td>0.165771</td>\n",
+       "      <td>0.219360</td>\n",
+       "      <td>0.193237</td>\n",
+       "      <td>0.239502</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.244751</td>\n",
+       "      <td>0.521118</td>\n",
+       "      <td>0.368774</td>\n",
+       "      <td>0.404785</td>\n",
+       "      <td>0.432983</td>\n",
+       "      <td>0.525024</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.191528</td>\n",
+       "      <td>0.337646</td>\n",
+       "      <td>0.265991</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>207</th>\n",
+       "      <td>0.274170</td>\n",
+       "      <td>0.303711</td>\n",
+       "      <td>0.273315</td>\n",
+       "      <td>0.504150</td>\n",
+       "      <td>0.179688</td>\n",
+       "      <td>0.356445</td>\n",
+       "      <td>0.180908</td>\n",
+       "      <td>0.404907</td>\n",
+       "      <td>0.227417</td>\n",
+       "      <td>0.263428</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.249512</td>\n",
+       "      <td>0.329468</td>\n",
+       "      <td>0.244995</td>\n",
+       "      <td>0.429688</td>\n",
+       "      <td>0.382080</td>\n",
+       "      <td>0.322998</td>\n",
+       "      <td>0.191528</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.135010</td>\n",
+       "      <td>0.262451</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>208</th>\n",
+       "      <td>0.457275</td>\n",
+       "      <td>0.366455</td>\n",
+       "      <td>0.250000</td>\n",
+       "      <td>0.337158</td>\n",
+       "      <td>0.209839</td>\n",
+       "      <td>0.225098</td>\n",
+       "      <td>0.150391</td>\n",
+       "      <td>0.313843</td>\n",
+       "      <td>0.450073</td>\n",
+       "      <td>0.450439</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.372192</td>\n",
+       "      <td>0.290894</td>\n",
+       "      <td>0.337769</td>\n",
+       "      <td>0.401489</td>\n",
+       "      <td>0.634033</td>\n",
+       "      <td>0.328979</td>\n",
+       "      <td>0.337646</td>\n",
+       "      <td>0.135010</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.200073</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>209</th>\n",
+       "      <td>0.228149</td>\n",
+       "      <td>0.390625</td>\n",
+       "      <td>0.213867</td>\n",
+       "      <td>0.503662</td>\n",
+       "      <td>0.251221</td>\n",
+       "      <td>0.467041</td>\n",
+       "      <td>0.236328</td>\n",
+       "      <td>0.274902</td>\n",
+       "      <td>0.367432</td>\n",
+       "      <td>0.277466</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.203979</td>\n",
+       "      <td>0.132202</td>\n",
+       "      <td>0.341553</td>\n",
+       "      <td>0.285278</td>\n",
+       "      <td>0.221436</td>\n",
+       "      <td>0.183594</td>\n",
+       "      <td>0.265991</td>\n",
+       "      <td>0.262451</td>\n",
+       "      <td>0.200073</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>210 rows × 210 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          0         1         2         3         4         5         6    \\\n",
+       "0         NaN  0.126221  0.260742  0.138550  0.336548  0.360474  0.261353   \n",
+       "1    0.126221       NaN  0.182983  0.213867  0.239990  0.236206  0.323853   \n",
+       "2    0.260742  0.182983       NaN  0.173462  0.405396  0.145386  0.309448   \n",
+       "3    0.138550  0.213867  0.173462       NaN  0.249023  0.263794  0.354370   \n",
+       "4    0.336548  0.239990  0.405396  0.249023       NaN  0.162109  0.313477   \n",
+       "..        ...       ...       ...       ...       ...       ...       ...   \n",
+       "205  0.138916  0.154541  0.249634  0.302979  0.228882  0.255005  0.188843   \n",
+       "206  0.229858  0.310791  0.192017  0.220947  0.200806  0.293457  0.165771   \n",
+       "207  0.274170  0.303711  0.273315  0.504150  0.179688  0.356445  0.180908   \n",
+       "208  0.457275  0.366455  0.250000  0.337158  0.209839  0.225098  0.150391   \n",
+       "209  0.228149  0.390625  0.213867  0.503662  0.251221  0.467041  0.236328   \n",
+       "\n",
+       "          7         8         9    ...       200       201       202  \\\n",
+       "0    0.219238  0.212402  0.295166  ...  0.231323  0.194336  0.520630   \n",
+       "1    0.390259  0.322144  0.562622  ...  0.300293  0.245605  0.365845   \n",
+       "2    0.183960  0.184448  0.202759  ...  0.341064  0.276001  0.386475   \n",
+       "3    0.355225  0.135620  0.177612  ...  0.165405  0.387939  0.211548   \n",
+       "4    0.215332  0.231079  0.284058  ...  0.217041  0.223389  0.210327   \n",
+       "..        ...       ...       ...  ...       ...       ...       ...   \n",
+       "205  0.261841  0.143433  0.253296  ...  0.342285  0.179810  0.306396   \n",
+       "206  0.219360  0.193237  0.239502  ...  0.244751  0.521118  0.368774   \n",
+       "207  0.404907  0.227417  0.263428  ...  0.249512  0.329468  0.244995   \n",
+       "208  0.313843  0.450073  0.450439  ...  0.372192  0.290894  0.337769   \n",
+       "209  0.274902  0.367432  0.277466  ...  0.203979  0.132202  0.341553   \n",
+       "\n",
+       "          203       204       205       206       207       208       209  \n",
+       "0    0.408203  0.202271  0.138916  0.229858  0.274170  0.457275  0.228149  \n",
+       "1    0.353394  0.326294  0.154541  0.310791  0.303711  0.366455  0.390625  \n",
+       "2    0.321045  0.327148  0.249634  0.192017  0.273315  0.250000  0.213867  \n",
+       "3    0.129761  0.308350  0.302979  0.220947  0.504150  0.337158  0.503662  \n",
+       "4    0.357788  0.226440  0.228882  0.200806  0.179688  0.209839  0.251221  \n",
+       "..        ...       ...       ...       ...       ...       ...       ...  \n",
+       "205  0.550293  0.356201       NaN  0.525024  0.322998  0.328979  0.183594  \n",
+       "206  0.404785  0.432983  0.525024       NaN  0.191528  0.337646  0.265991  \n",
+       "207  0.429688  0.382080  0.322998  0.191528       NaN  0.135010  0.262451  \n",
+       "208  0.401489  0.634033  0.328979  0.337646  0.135010       NaN  0.200073  \n",
+       "209  0.285278  0.221436  0.183594  0.265991  0.262451  0.200073       NaN  \n",
+       "\n",
+       "[210 rows x 210 columns]"
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# View the initial ordering - should be from 0-N\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define function to re-order regions of the BNA according to subnetwork; first left, \n",
+    "# then right (similar to AAL)\n",
+    "\n",
+    "def reorder(adjmat, subnet_filepath, subcortical=False):\n",
+    "    \"\"\"\" Reorder a connectivity matrix according to a specific ordering (e.g. BNA in order \n",
+    "    of subnetwork, with all left hemisphere regions first and then all right hemisphere regions)\n",
+    "    \n",
+    "    Parameters\n",
+    "    ----------\n",
+    "    adjmat: dataframe\n",
+    "        Dataframe to be reordered\n",
+    "    subnet_filepath: string\n",
+    "        Path to tab-delimited .txt file containing desired order of regions\n",
+    "    subcortical: boolean, optional\n",
+    "        Specify whether there are subcortical regions in adjmat, default=False\n",
+    "        \n",
+    "    Returns\n",
+    "    -------\n",
+    "    adjmat_reorder: dataframe\n",
+    "        Reordered dataframe\n",
+    "        \n",
+    "    \"\"\"\n",
+    "    \n",
+    "    subnetorder = pd.read_csv(subnet_filepath, delimiter='\\t')\n",
+    "    \n",
+    "    if subcortical == False:\n",
+    "        subnetorder.drop(subnetorder[subnetorder['Yeo Labels'] == 'subcortical'].index, inplace=True)\n",
+    "\n",
+    "    roiorder = subnetorder[\"BNA region\"]\n",
+    "    roiorder = list(map(lambda x: x.replace('BNA ', ''), roiorder))\n",
+    "    roiorder_int = list(map(int, roiorder))\n",
+    "    roiorder_id = [x - 1 for x in roiorder_int]\n",
+    "    \n",
+    "    adjmat_reorder = adjmat[roiorder_id]\n",
+    "    adjmat_reorder = adjmat_reorder.loc[roiorder_id]\n",
+    "    \n",
+    "    return adjmat_reorder"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "subnet_filepath = './bna_subnetorder.txt'\n",
+    "df_reorder = reorder(df, subnet_filepath, subcortical=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "  </thead>\n",
+       "  <tbody>\n",
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+       "      <th>104</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.380005</td>\n",
+       "      <td>0.151367</td>\n",
+       "      <td>0.407104</td>\n",
+       "      <td>0.194336</td>\n",
+       "      <td>0.316772</td>\n",
+       "      <td>0.407593</td>\n",
+       "      <td>0.357300</td>\n",
+       "      <td>0.368652</td>\n",
+       "      <td>0.088501</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.233032</td>\n",
+       "      <td>0.156738</td>\n",
+       "      <td>0.071289</td>\n",
+       "      <td>0.476318</td>\n",
+       "      <td>0.255981</td>\n",
+       "      <td>0.200195</td>\n",
+       "      <td>0.097412</td>\n",
+       "      <td>0.313721</td>\n",
+       "      <td>0.454346</td>\n",
+       "      <td>0.208130</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>118</th>\n",
+       "      <td>0.380005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.136719</td>\n",
+       "      <td>0.255371</td>\n",
+       "      <td>0.150513</td>\n",
+       "      <td>0.130859</td>\n",
+       "      <td>0.341797</td>\n",
+       "      <td>0.278687</td>\n",
+       "      <td>0.133179</td>\n",
+       "      <td>0.254028</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.165161</td>\n",
+       "      <td>0.229248</td>\n",
+       "      <td>0.170532</td>\n",
+       "      <td>0.250488</td>\n",
+       "      <td>0.360107</td>\n",
+       "      <td>0.402710</td>\n",
+       "      <td>0.468506</td>\n",
+       "      <td>0.339722</td>\n",
+       "      <td>0.197510</td>\n",
+       "      <td>0.315796</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>134</th>\n",
+       "      <td>0.151367</td>\n",
+       "      <td>0.136719</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.314697</td>\n",
+       "      <td>0.282837</td>\n",
+       "      <td>0.375610</td>\n",
+       "      <td>0.244873</td>\n",
+       "      <td>0.191406</td>\n",
+       "      <td>0.310547</td>\n",
+       "      <td>0.427612</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.328125</td>\n",
+       "      <td>0.164673</td>\n",
+       "      <td>0.209961</td>\n",
+       "      <td>0.215332</td>\n",
+       "      <td>0.336914</td>\n",
+       "      <td>0.470825</td>\n",
+       "      <td>0.427612</td>\n",
+       "      <td>0.410522</td>\n",
+       "      <td>0.100952</td>\n",
+       "      <td>0.173462</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>188</th>\n",
+       "      <td>0.407104</td>\n",
+       "      <td>0.255371</td>\n",
+       "      <td>0.314697</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.435669</td>\n",
+       "      <td>0.514526</td>\n",
+       "      <td>0.283081</td>\n",
+       "      <td>0.225952</td>\n",
+       "      <td>0.262695</td>\n",
+       "      <td>0.296875</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.178955</td>\n",
+       "      <td>0.160645</td>\n",
+       "      <td>0.092651</td>\n",
+       "      <td>0.184204</td>\n",
+       "      <td>0.291260</td>\n",
+       "      <td>0.327637</td>\n",
+       "      <td>0.311768</td>\n",
+       "      <td>0.185791</td>\n",
+       "      <td>0.201782</td>\n",
+       "      <td>0.116089</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>190</th>\n",
+       "      <td>0.194336</td>\n",
+       "      <td>0.150513</td>\n",
+       "      <td>0.282837</td>\n",
+       "      <td>0.435669</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.427002</td>\n",
+       "      <td>0.106812</td>\n",
+       "      <td>0.164673</td>\n",
+       "      <td>0.169556</td>\n",
+       "      <td>0.136597</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.358154</td>\n",
+       "      <td>0.145996</td>\n",
+       "      <td>0.306885</td>\n",
+       "      <td>0.158813</td>\n",
+       "      <td>0.264526</td>\n",
+       "      <td>0.507446</td>\n",
+       "      <td>0.567871</td>\n",
+       "      <td>0.477661</td>\n",
+       "      <td>0.045288</td>\n",
+       "      <td>0.111206</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>153</th>\n",
+       "      <td>0.200195</td>\n",
+       "      <td>0.402710</td>\n",
+       "      <td>0.470825</td>\n",
+       "      <td>0.327637</td>\n",
+       "      <td>0.507446</td>\n",
+       "      <td>0.588623</td>\n",
+       "      <td>0.292969</td>\n",
+       "      <td>0.224609</td>\n",
+       "      <td>0.181152</td>\n",
+       "      <td>0.194458</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.283569</td>\n",
+       "      <td>0.414917</td>\n",
+       "      <td>0.134155</td>\n",
+       "      <td>0.271118</td>\n",
+       "      <td>0.257080</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.307495</td>\n",
+       "      <td>0.402710</td>\n",
+       "      <td>0.328613</td>\n",
+       "      <td>0.388794</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>175</th>\n",
+       "      <td>0.097412</td>\n",
+       "      <td>0.468506</td>\n",
+       "      <td>0.427612</td>\n",
+       "      <td>0.311768</td>\n",
+       "      <td>0.567871</td>\n",
+       "      <td>0.581543</td>\n",
+       "      <td>0.248169</td>\n",
+       "      <td>0.258911</td>\n",
+       "      <td>0.205933</td>\n",
+       "      <td>0.114380</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.317505</td>\n",
+       "      <td>0.485352</td>\n",
+       "      <td>0.248413</td>\n",
+       "      <td>0.292114</td>\n",
+       "      <td>0.262329</td>\n",
+       "      <td>0.307495</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.542114</td>\n",
+       "      <td>0.283936</td>\n",
+       "      <td>0.351196</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>177</th>\n",
+       "      <td>0.313721</td>\n",
+       "      <td>0.339722</td>\n",
+       "      <td>0.410522</td>\n",
+       "      <td>0.185791</td>\n",
+       "      <td>0.477661</td>\n",
+       "      <td>0.431152</td>\n",
+       "      <td>0.341064</td>\n",
+       "      <td>0.439209</td>\n",
+       "      <td>0.264771</td>\n",
+       "      <td>0.188354</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.383789</td>\n",
+       "      <td>0.329102</td>\n",
+       "      <td>0.245239</td>\n",
+       "      <td>0.293823</td>\n",
+       "      <td>0.066040</td>\n",
+       "      <td>0.402710</td>\n",
+       "      <td>0.542114</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.243408</td>\n",
+       "      <td>0.285400</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>181</th>\n",
+       "      <td>0.454346</td>\n",
+       "      <td>0.197510</td>\n",
+       "      <td>0.100952</td>\n",
+       "      <td>0.201782</td>\n",
+       "      <td>0.045288</td>\n",
+       "      <td>0.138916</td>\n",
+       "      <td>0.406860</td>\n",
+       "      <td>0.202393</td>\n",
+       "      <td>0.326172</td>\n",
+       "      <td>0.292236</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.183350</td>\n",
+       "      <td>0.114624</td>\n",
+       "      <td>0.287476</td>\n",
+       "      <td>0.305298</td>\n",
+       "      <td>0.327393</td>\n",
+       "      <td>0.328613</td>\n",
+       "      <td>0.283936</td>\n",
+       "      <td>0.243408</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.279663</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>187</th>\n",
+       "      <td>0.208130</td>\n",
+       "      <td>0.315796</td>\n",
+       "      <td>0.173462</td>\n",
+       "      <td>0.116089</td>\n",
+       "      <td>0.111206</td>\n",
+       "      <td>0.086792</td>\n",
+       "      <td>0.234253</td>\n",
+       "      <td>0.270142</td>\n",
+       "      <td>0.263916</td>\n",
+       "      <td>0.206421</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.367554</td>\n",
+       "      <td>0.319092</td>\n",
+       "      <td>0.359375</td>\n",
+       "      <td>0.285400</td>\n",
+       "      <td>0.271973</td>\n",
+       "      <td>0.388794</td>\n",
+       "      <td>0.351196</td>\n",
+       "      <td>0.285400</td>\n",
+       "      <td>0.279663</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>210 rows × 210 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          104       118       134       188       190       192       194  \\\n",
+       "104       NaN  0.380005  0.151367  0.407104  0.194336  0.316772  0.407593   \n",
+       "118  0.380005       NaN  0.136719  0.255371  0.150513  0.130859  0.341797   \n",
+       "134  0.151367  0.136719       NaN  0.314697  0.282837  0.375610  0.244873   \n",
+       "188  0.407104  0.255371  0.314697       NaN  0.435669  0.514526  0.283081   \n",
+       "190  0.194336  0.150513  0.282837  0.435669       NaN  0.427002  0.106812   \n",
+       "..        ...       ...       ...       ...       ...       ...       ...   \n",
+       "153  0.200195  0.402710  0.470825  0.327637  0.507446  0.588623  0.292969   \n",
+       "175  0.097412  0.468506  0.427612  0.311768  0.567871  0.581543  0.248169   \n",
+       "177  0.313721  0.339722  0.410522  0.185791  0.477661  0.431152  0.341064   \n",
+       "181  0.454346  0.197510  0.100952  0.201782  0.045288  0.138916  0.406860   \n",
+       "187  0.208130  0.315796  0.173462  0.116089  0.111206  0.086792  0.234253   \n",
+       "\n",
+       "          196       198       200  ...       81        83        87   \\\n",
+       "104  0.357300  0.368652  0.088501  ...  0.233032  0.156738  0.071289   \n",
+       "118  0.278687  0.133179  0.254028  ...  0.165161  0.229248  0.170532   \n",
+       "134  0.191406  0.310547  0.427612  ...  0.328125  0.164673  0.209961   \n",
+       "188  0.225952  0.262695  0.296875  ...  0.178955  0.160645  0.092651   \n",
+       "190  0.164673  0.169556  0.136597  ...  0.358154  0.145996  0.306885   \n",
+       "..        ...       ...       ...  ...       ...       ...       ...   \n",
+       "153  0.224609  0.181152  0.194458  ...  0.283569  0.414917  0.134155   \n",
+       "175  0.258911  0.205933  0.114380  ...  0.317505  0.485352  0.248413   \n",
+       "177  0.439209  0.264771  0.188354  ...  0.383789  0.329102  0.245239   \n",
+       "181  0.202393  0.326172  0.292236  ...  0.183350  0.114624  0.287476   \n",
+       "187  0.270142  0.263916  0.206421  ...  0.367554  0.319092  0.359375   \n",
+       "\n",
+       "          121       143       153       175       177       181       187  \n",
+       "104  0.476318  0.255981  0.200195  0.097412  0.313721  0.454346  0.208130  \n",
+       "118  0.250488  0.360107  0.402710  0.468506  0.339722  0.197510  0.315796  \n",
+       "134  0.215332  0.336914  0.470825  0.427612  0.410522  0.100952  0.173462  \n",
+       "188  0.184204  0.291260  0.327637  0.311768  0.185791  0.201782  0.116089  \n",
+       "190  0.158813  0.264526  0.507446  0.567871  0.477661  0.045288  0.111206  \n",
+       "..        ...       ...       ...       ...       ...       ...       ...  \n",
+       "153  0.271118  0.257080       NaN  0.307495  0.402710  0.328613  0.388794  \n",
+       "175  0.292114  0.262329  0.307495       NaN  0.542114  0.283936  0.351196  \n",
+       "177  0.293823  0.066040  0.402710  0.542114       NaN  0.243408  0.285400  \n",
+       "181  0.305298  0.327393  0.328613  0.283936  0.243408       NaN  0.279663  \n",
+       "187  0.285400  0.271973  0.388794  0.351196  0.285400  0.279663       NaN  \n",
+       "\n",
+       "[210 rows x 210 columns]"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_reorder"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### The dataframe has been re-ordered! Now let's rename the columns and rows, so that their labels indicate the correct BNA region."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "regs = pd.read_csv(subnet_filepath, delimiter='\\t')\n",
+    "regs = regs.drop(regs[regs['Yeo Labels'] == 'subcortical'].index)\n",
+    "regs = regs.reset_index(drop=True)\n",
+    "names = {i: regs['BNA region'][j] for i, j in zip(list(df_reorder), range(len(df_reorder)))}\n",
+    "df_reorder = df_reorder.rename(index = names, columns = names)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>BNA 105</th>\n",
+       "      <th>BNA 119</th>\n",
+       "      <th>BNA 135</th>\n",
+       "      <th>BNA 189</th>\n",
+       "      <th>BNA 191</th>\n",
+       "      <th>BNA 193</th>\n",
+       "      <th>BNA 195</th>\n",
+       "      <th>BNA 197</th>\n",
+       "      <th>BNA 199</th>\n",
+       "      <th>BNA 201</th>\n",
+       "      <th>...</th>\n",
+       "      <th>BNA 82</th>\n",
+       "      <th>BNA 84</th>\n",
+       "      <th>BNA 88</th>\n",
+       "      <th>BNA 122</th>\n",
+       "      <th>BNA 144</th>\n",
+       "      <th>BNA 154</th>\n",
+       "      <th>BNA 176</th>\n",
+       "      <th>BNA 178</th>\n",
+       "      <th>BNA 182</th>\n",
+       "      <th>BNA 188</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>BNA 105</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.380005</td>\n",
+       "      <td>0.151367</td>\n",
+       "      <td>0.407104</td>\n",
+       "      <td>0.194336</td>\n",
+       "      <td>0.316772</td>\n",
+       "      <td>0.407593</td>\n",
+       "      <td>0.357300</td>\n",
+       "      <td>0.368652</td>\n",
+       "      <td>0.088501</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.233032</td>\n",
+       "      <td>0.156738</td>\n",
+       "      <td>0.071289</td>\n",
+       "      <td>0.476318</td>\n",
+       "      <td>0.255981</td>\n",
+       "      <td>0.200195</td>\n",
+       "      <td>0.097412</td>\n",
+       "      <td>0.313721</td>\n",
+       "      <td>0.454346</td>\n",
+       "      <td>0.208130</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BNA 119</th>\n",
+       "      <td>0.380005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.136719</td>\n",
+       "      <td>0.255371</td>\n",
+       "      <td>0.150513</td>\n",
+       "      <td>0.130859</td>\n",
+       "      <td>0.341797</td>\n",
+       "      <td>0.278687</td>\n",
+       "      <td>0.133179</td>\n",
+       "      <td>0.254028</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.165161</td>\n",
+       "      <td>0.229248</td>\n",
+       "      <td>0.170532</td>\n",
+       "      <td>0.250488</td>\n",
+       "      <td>0.360107</td>\n",
+       "      <td>0.402710</td>\n",
+       "      <td>0.468506</td>\n",
+       "      <td>0.339722</td>\n",
+       "      <td>0.197510</td>\n",
+       "      <td>0.315796</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BNA 135</th>\n",
+       "      <td>0.151367</td>\n",
+       "      <td>0.136719</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.314697</td>\n",
+       "      <td>0.282837</td>\n",
+       "      <td>0.375610</td>\n",
+       "      <td>0.244873</td>\n",
+       "      <td>0.191406</td>\n",
+       "      <td>0.310547</td>\n",
+       "      <td>0.427612</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.328125</td>\n",
+       "      <td>0.164673</td>\n",
+       "      <td>0.209961</td>\n",
+       "      <td>0.215332</td>\n",
+       "      <td>0.336914</td>\n",
+       "      <td>0.470825</td>\n",
+       "      <td>0.427612</td>\n",
+       "      <td>0.410522</td>\n",
+       "      <td>0.100952</td>\n",
+       "      <td>0.173462</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BNA 189</th>\n",
+       "      <td>0.407104</td>\n",
+       "      <td>0.255371</td>\n",
+       "      <td>0.314697</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.435669</td>\n",
+       "      <td>0.514526</td>\n",
+       "      <td>0.283081</td>\n",
+       "      <td>0.225952</td>\n",
+       "      <td>0.262695</td>\n",
+       "      <td>0.296875</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.178955</td>\n",
+       "      <td>0.160645</td>\n",
+       "      <td>0.092651</td>\n",
+       "      <td>0.184204</td>\n",
+       "      <td>0.291260</td>\n",
+       "      <td>0.327637</td>\n",
+       "      <td>0.311768</td>\n",
+       "      <td>0.185791</td>\n",
+       "      <td>0.201782</td>\n",
+       "      <td>0.116089</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BNA 191</th>\n",
+       "      <td>0.194336</td>\n",
+       "      <td>0.150513</td>\n",
+       "      <td>0.282837</td>\n",
+       "      <td>0.435669</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.427002</td>\n",
+       "      <td>0.106812</td>\n",
+       "      <td>0.164673</td>\n",
+       "      <td>0.169556</td>\n",
+       "      <td>0.136597</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.358154</td>\n",
+       "      <td>0.145996</td>\n",
+       "      <td>0.306885</td>\n",
+       "      <td>0.158813</td>\n",
+       "      <td>0.264526</td>\n",
+       "      <td>0.507446</td>\n",
+       "      <td>0.567871</td>\n",
+       "      <td>0.477661</td>\n",
+       "      <td>0.045288</td>\n",
+       "      <td>0.111206</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BNA 154</th>\n",
+       "      <td>0.200195</td>\n",
+       "      <td>0.402710</td>\n",
+       "      <td>0.470825</td>\n",
+       "      <td>0.327637</td>\n",
+       "      <td>0.507446</td>\n",
+       "      <td>0.588623</td>\n",
+       "      <td>0.292969</td>\n",
+       "      <td>0.224609</td>\n",
+       "      <td>0.181152</td>\n",
+       "      <td>0.194458</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.283569</td>\n",
+       "      <td>0.414917</td>\n",
+       "      <td>0.134155</td>\n",
+       "      <td>0.271118</td>\n",
+       "      <td>0.257080</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.307495</td>\n",
+       "      <td>0.402710</td>\n",
+       "      <td>0.328613</td>\n",
+       "      <td>0.388794</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BNA 176</th>\n",
+       "      <td>0.097412</td>\n",
+       "      <td>0.468506</td>\n",
+       "      <td>0.427612</td>\n",
+       "      <td>0.311768</td>\n",
+       "      <td>0.567871</td>\n",
+       "      <td>0.581543</td>\n",
+       "      <td>0.248169</td>\n",
+       "      <td>0.258911</td>\n",
+       "      <td>0.205933</td>\n",
+       "      <td>0.114380</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.317505</td>\n",
+       "      <td>0.485352</td>\n",
+       "      <td>0.248413</td>\n",
+       "      <td>0.292114</td>\n",
+       "      <td>0.262329</td>\n",
+       "      <td>0.307495</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.542114</td>\n",
+       "      <td>0.283936</td>\n",
+       "      <td>0.351196</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BNA 178</th>\n",
+       "      <td>0.313721</td>\n",
+       "      <td>0.339722</td>\n",
+       "      <td>0.410522</td>\n",
+       "      <td>0.185791</td>\n",
+       "      <td>0.477661</td>\n",
+       "      <td>0.431152</td>\n",
+       "      <td>0.341064</td>\n",
+       "      <td>0.439209</td>\n",
+       "      <td>0.264771</td>\n",
+       "      <td>0.188354</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.383789</td>\n",
+       "      <td>0.329102</td>\n",
+       "      <td>0.245239</td>\n",
+       "      <td>0.293823</td>\n",
+       "      <td>0.066040</td>\n",
+       "      <td>0.402710</td>\n",
+       "      <td>0.542114</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.243408</td>\n",
+       "      <td>0.285400</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BNA 182</th>\n",
+       "      <td>0.454346</td>\n",
+       "      <td>0.197510</td>\n",
+       "      <td>0.100952</td>\n",
+       "      <td>0.201782</td>\n",
+       "      <td>0.045288</td>\n",
+       "      <td>0.138916</td>\n",
+       "      <td>0.406860</td>\n",
+       "      <td>0.202393</td>\n",
+       "      <td>0.326172</td>\n",
+       "      <td>0.292236</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.183350</td>\n",
+       "      <td>0.114624</td>\n",
+       "      <td>0.287476</td>\n",
+       "      <td>0.305298</td>\n",
+       "      <td>0.327393</td>\n",
+       "      <td>0.328613</td>\n",
+       "      <td>0.283936</td>\n",
+       "      <td>0.243408</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.279663</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BNA 188</th>\n",
+       "      <td>0.208130</td>\n",
+       "      <td>0.315796</td>\n",
+       "      <td>0.173462</td>\n",
+       "      <td>0.116089</td>\n",
+       "      <td>0.111206</td>\n",
+       "      <td>0.086792</td>\n",
+       "      <td>0.234253</td>\n",
+       "      <td>0.270142</td>\n",
+       "      <td>0.263916</td>\n",
+       "      <td>0.206421</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.367554</td>\n",
+       "      <td>0.319092</td>\n",
+       "      <td>0.359375</td>\n",
+       "      <td>0.285400</td>\n",
+       "      <td>0.271973</td>\n",
+       "      <td>0.388794</td>\n",
+       "      <td>0.351196</td>\n",
+       "      <td>0.285400</td>\n",
+       "      <td>0.279663</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>210 rows × 210 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          BNA 105   BNA 119   BNA 135   BNA 189   BNA 191   BNA 193   BNA 195  \\\n",
+       "BNA 105       NaN  0.380005  0.151367  0.407104  0.194336  0.316772  0.407593   \n",
+       "BNA 119  0.380005       NaN  0.136719  0.255371  0.150513  0.130859  0.341797   \n",
+       "BNA 135  0.151367  0.136719       NaN  0.314697  0.282837  0.375610  0.244873   \n",
+       "BNA 189  0.407104  0.255371  0.314697       NaN  0.435669  0.514526  0.283081   \n",
+       "BNA 191  0.194336  0.150513  0.282837  0.435669       NaN  0.427002  0.106812   \n",
+       "...           ...       ...       ...       ...       ...       ...       ...   \n",
+       "BNA 154  0.200195  0.402710  0.470825  0.327637  0.507446  0.588623  0.292969   \n",
+       "BNA 176  0.097412  0.468506  0.427612  0.311768  0.567871  0.581543  0.248169   \n",
+       "BNA 178  0.313721  0.339722  0.410522  0.185791  0.477661  0.431152  0.341064   \n",
+       "BNA 182  0.454346  0.197510  0.100952  0.201782  0.045288  0.138916  0.406860   \n",
+       "BNA 188  0.208130  0.315796  0.173462  0.116089  0.111206  0.086792  0.234253   \n",
+       "\n",
+       "          BNA 197   BNA 199   BNA 201  ...    BNA 82    BNA 84    BNA 88  \\\n",
+       "BNA 105  0.357300  0.368652  0.088501  ...  0.233032  0.156738  0.071289   \n",
+       "BNA 119  0.278687  0.133179  0.254028  ...  0.165161  0.229248  0.170532   \n",
+       "BNA 135  0.191406  0.310547  0.427612  ...  0.328125  0.164673  0.209961   \n",
+       "BNA 189  0.225952  0.262695  0.296875  ...  0.178955  0.160645  0.092651   \n",
+       "BNA 191  0.164673  0.169556  0.136597  ...  0.358154  0.145996  0.306885   \n",
+       "...           ...       ...       ...  ...       ...       ...       ...   \n",
+       "BNA 154  0.224609  0.181152  0.194458  ...  0.283569  0.414917  0.134155   \n",
+       "BNA 176  0.258911  0.205933  0.114380  ...  0.317505  0.485352  0.248413   \n",
+       "BNA 178  0.439209  0.264771  0.188354  ...  0.383789  0.329102  0.245239   \n",
+       "BNA 182  0.202393  0.326172  0.292236  ...  0.183350  0.114624  0.287476   \n",
+       "BNA 188  0.270142  0.263916  0.206421  ...  0.367554  0.319092  0.359375   \n",
+       "\n",
+       "          BNA 122   BNA 144   BNA 154   BNA 176   BNA 178   BNA 182   BNA 188  \n",
+       "BNA 105  0.476318  0.255981  0.200195  0.097412  0.313721  0.454346  0.208130  \n",
+       "BNA 119  0.250488  0.360107  0.402710  0.468506  0.339722  0.197510  0.315796  \n",
+       "BNA 135  0.215332  0.336914  0.470825  0.427612  0.410522  0.100952  0.173462  \n",
+       "BNA 189  0.184204  0.291260  0.327637  0.311768  0.185791  0.201782  0.116089  \n",
+       "BNA 191  0.158813  0.264526  0.507446  0.567871  0.477661  0.045288  0.111206  \n",
+       "...           ...       ...       ...       ...       ...       ...       ...  \n",
+       "BNA 154  0.271118  0.257080       NaN  0.307495  0.402710  0.328613  0.388794  \n",
+       "BNA 176  0.292114  0.262329  0.307495       NaN  0.542114  0.283936  0.351196  \n",
+       "BNA 178  0.293823  0.066040  0.402710  0.542114       NaN  0.243408  0.285400  \n",
+       "BNA 182  0.305298  0.327393  0.328613  0.283936  0.243408       NaN  0.279663  \n",
+       "BNA 188  0.285400  0.271973  0.388794  0.351196  0.285400  0.279663       NaN  \n",
+       "\n",
+       "[210 rows x 210 columns]"
+      ]
+     },
+     "execution_count": 67,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_reorder"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Great! That makes it much easier to interpret any plots as well. Speaking of plots-- let's have a look at the visual network in these data. We'll do so in two different ways. First up is highlighting the regions belonging to the visual network in the full matrix:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x1080 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "palette = 'coolwarm'\n",
+    "\n",
+    "matdropped = df_reorder.dropna(axis=1, how='all').dropna(axis=0,how='all').copy()\n",
+    "plt.figure(figsize=(20,15))\n",
+    "plt.xticks(rotation=270)\n",
+    "ax = sns.heatmap(matdropped, cmap=palette, annot=False, xticklabels=3, yticklabels=3)\n",
+    "ax.set_title('PLI alpha1 reordered - VISUAL NETWORK HIGHLIGHT', size=15, fontweight='bold')\n",
+    "\n",
+    "vis = np.where(regs==1)[0]\n",
+    "visNAMES = regs['BNA region'].iloc[vis]\n",
+    "visNAMES = list(visNAMES)\n",
+    "for laby,labx in zip(ax.get_yticklabels(), ax.get_xticklabels()):\n",
+    "    texty = laby.get_text()\n",
+    "    textx = labx.get_text()\n",
+    "    if texty in visNAMES:\n",
+    "        laby.set_weight('bold')\n",
+    "        laby.set_color('red')\n",
+    "    if textx in visNAMES:\n",
+    "        labx.set_weight('bold')\n",
+    "        labx.set_color('red')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Second-- plotting only the regions of the visual network:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'PLI alpha1 - VISUAL NETWORK ONLY')"
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x1080 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df_vis = df_reorder.iloc[vis,vis]\n",
+    "   \n",
+    "plt.figure(figsize=(20,15))\n",
+    "plt.xticks(rotation=270)\n",
+    "ax = sns.heatmap(df_vis, cmap=palette, annot=True, linewidths=0.01, annot_kws = {\"size\":7})\n",
+    "ax.set_title('PLI alpha1 - VISUAL NETWORK ONLY', size=15, fontweight='bold')\n",
+    "#labels = [value.get_text() for value in list(ax.get_xticklabels())]\n",
+    "#labelsy = [value.get_text() for value in list(ax.get_yticklabels())]\n",
+    "#ax.set_yticklabels(pd.DataFrame(names).iloc[labelsy][0], rotation=0)\n",
+    "#ax.set_xticklabels(pd.DataFrame(names).iloc[labels][0])\n",
+    "#ax.set_xlim(0, len(dfDMN))\n",
+    "#ax.set_ylim(len(dfDMN), 0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#REVIEW Idea: Why are we doing this ? What do we not want to see ? "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>BNA 105</th>\n",
+       "      <th>BNA 119</th>\n",
+       "      <th>BNA 135</th>\n",
+       "      <th>BNA 189</th>\n",
+       "      <th>BNA 191</th>\n",
+       "      <th>BNA 193</th>\n",
+       "      <th>BNA 195</th>\n",
+       "      <th>BNA 197</th>\n",
+       "      <th>BNA 199</th>\n",
+       "      <th>BNA 201</th>\n",
+       "      <th>...</th>\n",
+       "      <th>BNA 82</th>\n",
+       "      <th>BNA 84</th>\n",
+       "      <th>BNA 88</th>\n",
+       "      <th>BNA 122</th>\n",
+       "      <th>BNA 144</th>\n",
+       "      <th>BNA 154</th>\n",
+       "      <th>BNA 176</th>\n",
+       "      <th>BNA 178</th>\n",
+       "      <th>BNA 182</th>\n",
+       "      <th>BNA 188</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>BNA 105</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.542181</td>\n",
+       "      <td>0.505167</td>\n",
+       "      <td>0.552193</td>\n",
+       "      <td>0.508195</td>\n",
+       "      <td>0.502758</td>\n",
+       "      <td>0.549829</td>\n",
+       "      <td>0.565846</td>\n",
+       "      <td>0.560468</td>\n",
+       "      <td>0.539496</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.566984</td>\n",
+       "      <td>0.535891</td>\n",
+       "      <td>0.603864</td>\n",
+       "      <td>0.568961</td>\n",
+       "      <td>0.559575</td>\n",
+       "      <td>0.554267</td>\n",
+       "      <td>0.523536</td>\n",
+       "      <td>0.512481</td>\n",
+       "      <td>0.567728</td>\n",
+       "      <td>0.536221</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BNA 119</th>\n",
+       "      <td>0.542181</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.558431</td>\n",
+       "      <td>0.617473</td>\n",
+       "      <td>0.577434</td>\n",
+       "      <td>0.571999</td>\n",
+       "      <td>0.527745</td>\n",
+       "      <td>0.590249</td>\n",
+       "      <td>0.543341</td>\n",
+       "      <td>0.542021</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.659123</td>\n",
+       "      <td>0.563676</td>\n",
+       "      <td>0.641279</td>\n",
+       "      <td>0.637776</td>\n",
+       "      <td>0.551122</td>\n",
+       "      <td>0.592472</td>\n",
+       "      <td>0.569645</td>\n",
+       "      <td>0.506250</td>\n",
+       "      <td>0.570815</td>\n",
+       "      <td>0.564685</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BNA 135</th>\n",
+       "      <td>0.505167</td>\n",
+       "      <td>0.558431</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.592943</td>\n",
+       "      <td>0.590748</td>\n",
+       "      <td>0.594206</td>\n",
+       "      <td>0.537691</td>\n",
+       "      <td>0.578778</td>\n",
+       "      <td>0.554554</td>\n",
+       "      <td>0.516036</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.577353</td>\n",
+       "      <td>0.507415</td>\n",
+       "      <td>0.581069</td>\n",
+       "      <td>0.562469</td>\n",
+       "      <td>0.520902</td>\n",
+       "      <td>0.562999</td>\n",
+       "      <td>0.525706</td>\n",
+       "      <td>0.464182</td>\n",
+       "      <td>0.510757</td>\n",
+       "      <td>0.558958</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BNA 189</th>\n",
+       "      <td>0.552193</td>\n",
+       "      <td>0.617473</td>\n",
+       "      <td>0.592943</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.633716</td>\n",
+       "      <td>0.635038</td>\n",
+       "      <td>0.609303</td>\n",
+       "      <td>0.625980</td>\n",
+       "      <td>0.617598</td>\n",
+       "      <td>0.554536</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.562109</td>\n",
+       "      <td>0.535813</td>\n",
+       "      <td>0.592752</td>\n",
+       "      <td>0.623058</td>\n",
+       "      <td>0.568827</td>\n",
+       "      <td>0.609615</td>\n",
+       "      <td>0.594328</td>\n",
+       "      <td>0.538592</td>\n",
+       "      <td>0.551289</td>\n",
+       "      <td>0.637700</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BNA 191</th>\n",
+       "      <td>0.508195</td>\n",
+       "      <td>0.577434</td>\n",
+       "      <td>0.590748</td>\n",
+       "      <td>0.633716</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.571879</td>\n",
+       "      <td>0.548994</td>\n",
+       "      <td>0.575751</td>\n",
+       "      <td>0.574944</td>\n",
+       "      <td>0.534745</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.588524</td>\n",
+       "      <td>0.519172</td>\n",
+       "      <td>0.609790</td>\n",
+       "      <td>0.625567</td>\n",
+       "      <td>0.570409</td>\n",
+       "      <td>0.587709</td>\n",
+       "      <td>0.571173</td>\n",
+       "      <td>0.568143</td>\n",
+       "      <td>0.525744</td>\n",
+       "      <td>0.639165</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BNA 154</th>\n",
+       "      <td>0.554267</td>\n",
+       "      <td>0.592472</td>\n",
+       "      <td>0.562999</td>\n",
+       "      <td>0.609615</td>\n",
+       "      <td>0.587709</td>\n",
+       "      <td>0.576637</td>\n",
+       "      <td>0.598254</td>\n",
+       "      <td>0.600135</td>\n",
+       "      <td>0.544643</td>\n",
+       "      <td>0.541489</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.588893</td>\n",
+       "      <td>0.517183</td>\n",
+       "      <td>0.563691</td>\n",
+       "      <td>0.613114</td>\n",
+       "      <td>0.597330</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.518590</td>\n",
+       "      <td>0.550189</td>\n",
+       "      <td>0.552749</td>\n",
+       "      <td>0.556888</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BNA 176</th>\n",
+       "      <td>0.523536</td>\n",
+       "      <td>0.569645</td>\n",
+       "      <td>0.525706</td>\n",
+       "      <td>0.594328</td>\n",
+       "      <td>0.571173</td>\n",
+       "      <td>0.547634</td>\n",
+       "      <td>0.573112</td>\n",
+       "      <td>0.575177</td>\n",
+       "      <td>0.527988</td>\n",
+       "      <td>0.511455</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.586287</td>\n",
+       "      <td>0.504202</td>\n",
+       "      <td>0.544566</td>\n",
+       "      <td>0.601971</td>\n",
+       "      <td>0.592576</td>\n",
+       "      <td>0.518590</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.538964</td>\n",
+       "      <td>0.521951</td>\n",
+       "      <td>0.524127</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BNA 178</th>\n",
+       "      <td>0.512481</td>\n",
+       "      <td>0.506250</td>\n",
+       "      <td>0.464182</td>\n",
+       "      <td>0.538592</td>\n",
+       "      <td>0.568143</td>\n",
+       "      <td>0.561215</td>\n",
+       "      <td>0.486576</td>\n",
+       "      <td>0.535501</td>\n",
+       "      <td>0.551400</td>\n",
+       "      <td>0.531808</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.524176</td>\n",
+       "      <td>0.543650</td>\n",
+       "      <td>0.531205</td>\n",
+       "      <td>0.543795</td>\n",
+       "      <td>0.509586</td>\n",
+       "      <td>0.550189</td>\n",
+       "      <td>0.538964</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.477332</td>\n",
+       "      <td>0.574334</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BNA 182</th>\n",
+       "      <td>0.567728</td>\n",
+       "      <td>0.570815</td>\n",
+       "      <td>0.510757</td>\n",
+       "      <td>0.551289</td>\n",
+       "      <td>0.525744</td>\n",
+       "      <td>0.523997</td>\n",
+       "      <td>0.566238</td>\n",
+       "      <td>0.590440</td>\n",
+       "      <td>0.558404</td>\n",
+       "      <td>0.563582</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.529349</td>\n",
+       "      <td>0.556623</td>\n",
+       "      <td>0.558672</td>\n",
+       "      <td>0.541251</td>\n",
+       "      <td>0.484999</td>\n",
+       "      <td>0.552749</td>\n",
+       "      <td>0.521951</td>\n",
+       "      <td>0.477332</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.562268</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BNA 188</th>\n",
+       "      <td>0.536221</td>\n",
+       "      <td>0.564685</td>\n",
+       "      <td>0.558958</td>\n",
+       "      <td>0.637700</td>\n",
+       "      <td>0.639165</td>\n",
+       "      <td>0.622774</td>\n",
+       "      <td>0.535882</td>\n",
+       "      <td>0.649033</td>\n",
+       "      <td>0.574577</td>\n",
+       "      <td>0.552116</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.553673</td>\n",
+       "      <td>0.603715</td>\n",
+       "      <td>0.611877</td>\n",
+       "      <td>0.599016</td>\n",
+       "      <td>0.561859</td>\n",
+       "      <td>0.556888</td>\n",
+       "      <td>0.524127</td>\n",
+       "      <td>0.574334</td>\n",
+       "      <td>0.562268</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>210 rows × 210 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          BNA 105   BNA 119   BNA 135   BNA 189   BNA 191   BNA 193   BNA 195  \\\n",
+       "BNA 105       NaN  0.542181  0.505167  0.552193  0.508195  0.502758  0.549829   \n",
+       "BNA 119  0.542181       NaN  0.558431  0.617473  0.577434  0.571999  0.527745   \n",
+       "BNA 135  0.505167  0.558431       NaN  0.592943  0.590748  0.594206  0.537691   \n",
+       "BNA 189  0.552193  0.617473  0.592943       NaN  0.633716  0.635038  0.609303   \n",
+       "BNA 191  0.508195  0.577434  0.590748  0.633716       NaN  0.571879  0.548994   \n",
+       "...           ...       ...       ...       ...       ...       ...       ...   \n",
+       "BNA 154  0.554267  0.592472  0.562999  0.609615  0.587709  0.576637  0.598254   \n",
+       "BNA 176  0.523536  0.569645  0.525706  0.594328  0.571173  0.547634  0.573112   \n",
+       "BNA 178  0.512481  0.506250  0.464182  0.538592  0.568143  0.561215  0.486576   \n",
+       "BNA 182  0.567728  0.570815  0.510757  0.551289  0.525744  0.523997  0.566238   \n",
+       "BNA 188  0.536221  0.564685  0.558958  0.637700  0.639165  0.622774  0.535882   \n",
+       "\n",
+       "          BNA 197   BNA 199   BNA 201  ...    BNA 82    BNA 84    BNA 88  \\\n",
+       "BNA 105  0.565846  0.560468  0.539496  ...  0.566984  0.535891  0.603864   \n",
+       "BNA 119  0.590249  0.543341  0.542021  ...  0.659123  0.563676  0.641279   \n",
+       "BNA 135  0.578778  0.554554  0.516036  ...  0.577353  0.507415  0.581069   \n",
+       "BNA 189  0.625980  0.617598  0.554536  ...  0.562109  0.535813  0.592752   \n",
+       "BNA 191  0.575751  0.574944  0.534745  ...  0.588524  0.519172  0.609790   \n",
+       "...           ...       ...       ...  ...       ...       ...       ...   \n",
+       "BNA 154  0.600135  0.544643  0.541489  ...  0.588893  0.517183  0.563691   \n",
+       "BNA 176  0.575177  0.527988  0.511455  ...  0.586287  0.504202  0.544566   \n",
+       "BNA 178  0.535501  0.551400  0.531808  ...  0.524176  0.543650  0.531205   \n",
+       "BNA 182  0.590440  0.558404  0.563582  ...  0.529349  0.556623  0.558672   \n",
+       "BNA 188  0.649033  0.574577  0.552116  ...  0.553673  0.603715  0.611877   \n",
+       "\n",
+       "          BNA 122   BNA 144   BNA 154   BNA 176   BNA 178   BNA 182   BNA 188  \n",
+       "BNA 105  0.568961  0.559575  0.554267  0.523536  0.512481  0.567728  0.536221  \n",
+       "BNA 119  0.637776  0.551122  0.592472  0.569645  0.506250  0.570815  0.564685  \n",
+       "BNA 135  0.562469  0.520902  0.562999  0.525706  0.464182  0.510757  0.558958  \n",
+       "BNA 189  0.623058  0.568827  0.609615  0.594328  0.538592  0.551289  0.637700  \n",
+       "BNA 191  0.625567  0.570409  0.587709  0.571173  0.568143  0.525744  0.639165  \n",
+       "...           ...       ...       ...       ...       ...       ...       ...  \n",
+       "BNA 154  0.613114  0.597330       NaN  0.518590  0.550189  0.552749  0.556888  \n",
+       "BNA 176  0.601971  0.592576  0.518590       NaN  0.538964  0.521951  0.524127  \n",
+       "BNA 178  0.543795  0.509586  0.550189  0.538964       NaN  0.477332  0.574334  \n",
+       "BNA 182  0.541251  0.484999  0.552749  0.521951  0.477332       NaN  0.562268  \n",
+       "BNA 188  0.599016  0.561859  0.556888  0.524127  0.574334  0.562268       NaN  \n",
+       "\n",
+       "[210 rows x 210 columns]"
+      ]
+     },
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Let's reorder the AEC also\n",
+    "aec_alpha1_reorder = reorder(df_aec_alpha1, subnet_filepath, subcortical=False)\n",
+    "\n",
+    "# ...and rename\n",
+    "names = {i: regs['BNA region'][j] for i, j in zip(list(aec_alpha1_reorder), \n",
+    "                                                  range(len(aec_alpha1_reorder)))}\n",
+    "aec_alpha1_reorder = aec_alpha1_reorder.rename(index = names, columns = names)\n",
+    "aec_alpha1_reorder"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x1080 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# AEC visual network\n",
+    "palette = 'coolwarm'\n",
+    "\n",
+    "matdropped = aec_alpha1_reorder.dropna(axis=1, how='all').dropna(axis=0,how='all').copy()\n",
+    "plt.figure(figsize=(20,15))\n",
+    "plt.xticks(rotation=270)\n",
+    "ax = sns.heatmap(matdropped, cmap=palette, annot=False, xticklabels=3, yticklabels=3)\n",
+    "ax.set_title('AEC alpha1 reordered - VISUAL NETWORK HIGHLIGHT', size=15, fontweight='bold')\n",
+    "\n",
+    "vis = np.where(regs==1)[0]\n",
+    "visNAMES = regs['BNA region'].iloc[vis]\n",
+    "visNAMES = list(visNAMES)\n",
+    "for laby,labx in zip(ax.get_yticklabels(), ax.get_xticklabels()):\n",
+    "    texty = laby.get_text()\n",
+    "    textx = labx.get_text()\n",
+    "    if texty in visNAMES:\n",
+    "        laby.set_weight('bold')\n",
+    "        laby.set_color('red')\n",
+    "    if textx in visNAMES:\n",
+    "        labx.set_weight('bold')\n",
+    "        labx.set_color('red')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'AEC alpha1 - VISUAL NETWORK ONLY')"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x1080 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# And AEC visual network only\n",
+    "df_vis = aec_alpha1_reorder.iloc[vis,vis]\n",
+    "   \n",
+    "plt.figure(figsize=(20,15))\n",
+    "plt.xticks(rotation=270)\n",
+    "ax = sns.heatmap(df_vis, cmap=palette, annot=True, linewidths=0.01, annot_kws = {\"size\":7})\n",
+    "ax.set_title('AEC alpha1 - VISUAL NETWORK ONLY', size=15, fontweight='bold')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}